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HYPOTHESIS AND THEORY article

Front. Genet., 28 September 2017
Sec. Livestock Genomics

A Hypothesis and Review of the Relationship between Selection for Improved Production Efficiency, Coping Behavior, and Domestication

  • 1Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Madrid, Spain
  • 2Department of Animal Science, Iowa State University, Ames, IA, United States

Coping styles in response to stressors have been described both in humans and in other animal species. Because coping styles are directly related to individual fitness they are part of the life history strategy. Behavioral styles trade off with other life-history traits through the acquisition and allocation of resources. Domestication and subsequent artificial selection for production traits specifically focused on selection of individuals with energy sparing mechanisms for non-production traits. Domestication resulted in animals with low levels of aggression and activity, and a low hypothalamic–pituitary–adrenal (HPA) axis reactivity. In the present work, we propose that, vice versa, selection for improved production efficiency may to some extent continue to favor docile domesticated phenotypes. It is hypothesized that both domestication and selection for improved production efficiency may result in the selection of reactive style animals. Both domesticated and reactive style animals are characterized by low levels of aggression and activity, and increased serotonin neurotransmitter levels. However, whereas domestication quite consistently results in a decrease in the functional state of the HPA axis, the reactive coping style is often found to be dominated by a high HPA response. This may suggest that fearfulness and coping behavior are two independent underlying dimensions to the coping response. Although it is generally proposed that animal welfare improves with selection for calmer animals that are less fearful and reactive to novelty, animals bred to be less sensitive with fewer desires may be undesirable from an ethical point of view.

Introduction

Coping refers to the individual’s behavioral and physiological efforts to manage (reduce, minimize, master, or tolerate) the internal and external demands of a situation that is appraised as stressful, and taxing or exceeding the individual’s resources (Folkman et al., 1986; Koolhaas et al., 1999). The ability to adequately cope with stress is directly related to individual fitness in natural populations and to animal welfare in production animals. Selection for production traits may positively or negatively influence the individuals’ coping capacity and therefore its welfare. It is the aim of the present work to review coping behavior in humans and animals, describe its relationship with other fitness traits, and hypothesize on the consequences of selection for improved production efficiency on coping behavior.

Coping in Animals

Coping in Humans

As extensively reviewed by Endler and Parker (1990), Lazarus (1993a), and Suls and David (1996), in humans, interest in coping concepts became more prominent during the 1960s and 70s as interest in the study of stress increased. In the early years, coping was conceptualized as a psychological style or inner (primarily unconscious) psychodynamic response in defense of personal (“ego”) integrity and threat management. For example, Sigmund Freud described 10 defense mechanisms: regression, repression, reaction formation, isolation, undoing, projection, introjection, turning against the self, reversal, and sublimation (in Freud, 1992). Some defense styles were considered healthier or less regressed than others (Lazarus, 1993a). Other researchers formulated the ego defenses as trait-like coping styles. For example, Byrne proposed a continuum between repression, i.e., behavior mechanisms of a predominantly avoiding (denying, repressing) type, and sensitization, i.e., behavior mechanisms of predominantly approaching (intellectualizing, obsessional) behaviors (Byrne, 1961; Suls and David, 1996). Some 13 additional formulations on the approach-avoidance scale are reviewed by Roth and Cohen (1986).

In contrast, the coping process approach developed by Lazarus and colleagues in the 1970s and 80s regarded coping strategies to be a function of the situational context in which it occurs, as influenced by external environmental forces (Lazarus, 1993a). According to this approach, coping processes change over time and are not based on preconceived notions of inherent health and adaptiveness or pathology and maladaptiveness. This approach emphasizes two major functions of coping: “problem” focused coping, i.e., to actively attempt to change the environment by removing the source of stress or remove oneself from the source of stress, versus “emotion focused” coping, i.e., to reduce the emotional impact or the negative appraisal of stress (Folkman and Lazarus, 1980). In particular, emotion focused coping may predominate in situations that are perceived to be “refractory to change,” whereas problem focused coping may predominate in situations that are perceived as “controllable by action” (Lazarus, 1993a). However, it became empirically clear that the situational context does not account for all of variation in coping behaviors (Suls and David, 1996). In the 1980s and 1990s, research revealed that coping strategies may be influenced by personality variables, such as the tendency to be optimistic vs. pessimistic (Scheier et al., 1986). In fact, it was reported that some 30% of the variation in single-act behaviors can be explained by personality traits and a considerably larger portion may be explained when behavioral cross-situational aggregates rather than situation-specific single-act behaviors are used (Kenrick and Funder, 1988). Indeed, Kato and Pedersen (2005) observed that genetic influences on coping scales were partly attributable to genetic factors that are associated with personality traits.

Therefore, to some extent, coping strategies were shown to be consistent, showing a stable pattern over time and across stressful encounters and could be viewed as a stable coping disposition or style. A well-described coping style is called the Type A pattern, which Friedman and Rosenman (1974) defined as “an action–emotion complex that can be observed in any person who is aggressively involved in a chronic, incessant struggle to achieve more and more in less and less time, and if required to do so, against the opposing efforts of other things or other persons” (in Matthews, 1982). As reviewed by Matthews (1982), this behavioral style can be regarded as a continuum of behaviors ranging from the extreme Type A to the opposite extreme Type B. Type A personalities are characterized as having increased levels of competitiveness, aggressiveness, achievement striving, ambition, impatience, and hostility (Heilbrun and Renert, 1986). In response to stress, Type A personalities show an active response and a greater tendency to rely on achievement related, solution-oriented, problem-focused coping, directed at bolstering the perception of controllability (Evans and Fearn, 1985; Hart, 1988). In the 1980s, personality dimensions were extended to broader sets of personality dimensions, such as “the Big Five”: Neuroticism (N) vs. Emotional Stability; Extraversion (E) or Surgency; Openness to Experience (O) or Intellect; Agreeableness (A) vs. Antagonism; and Conscientiousness (C) or Will to Achieve (Costa and McCrea, 1992), which are also associated with stress-related coping processes (Penley and Tomaka, 2002).

Speisman et al. (1964) observed that “control of the environment” was an important modulating factor that determines stress response characteristics. Indeed, the interaction between behavioral type (A or B) with “locus of control” significantly influenced manager work satisfaction and health outcomes (Kirkcaldy et al., 2002). Managers with external locus (believing that events in their lives are a function of luck, chance, fate, God(s), or powerful others) showed significant lower job satisfaction levels and more negative health consequences than managers with internal locus (believing that events are a function of their own behavior and/or ability, personality, or effort), especially when this characteristic was combined with a Type A personality. Speisman et al. (1964) identified that controllability was related to separate catecholamine (adrenaline and noradrenaline) and cortisol factors. The catecholamine factor is predominantly related to coping “effort,” whereas the cortisol factor is predominantly related to coping “distress,” i.e., cortisol tends to increase in novel and unfamiliar situations that evoke feelings of uncertainty and anxiety. Comparing response to a low-control and a high-control task, they observed that during the high-control task adrenaline, but not cortisol, increased (effort without distress), whereas during the low-control task both adrenaline and cortisol increased (effort with distress). In addition, Speisman et al. (1964) linked personality, perception of control, and situational context, in that together they form the threat meaning or “harmful significance” of an event. Indeed, “Stressors, like beauty, lie in the eye of the beholder,” i.e., it is only when a situation is perceived as a potential threat that a stress response is initiated (Everly and Lating, 2013). For example, an event may be perceived as an unpleasant threat but also as an exhilarating challenge, and resulting from the motivation toward the event, both the appraisal of the event and the subsequent coping response can be described as a function of stress emotional states, including anger, anxiety, guilt, shame, sadness, envy, jealousy, and disgust, but also happiness, pride, relief, love, hope, compassion, and gratitude (Lazarus, 1993b). Frankenhaeuser and Lundberg (1985) confirmed that catecholamine output under different psychosocial conditions was linearly related to the intensity of the emotional experience (and consequently the degree of subjective stress), whether pleasant or unpleasant.

Coping in Non-human Animals

Methods used for coping assessment in animals are fundamentally different from those used in human research. As reviewed by Parker and Endler (1992), coping research in humans is primarily based on various self-report coping scales and measures in response to (the thought of) a stressful event, such as the Ways of Coping Questionnaire (Folkman and Lazarus, 1988). Because animals cannot directly communicate their cognitive emotional appraisal, motivation, or behavioral approach toward a stressful event these questionnaires have no use in animal research. Instead, the behavioral and/or physiological response to social and non-social situations is evaluated. However, although coping assessment methods are inherently different in animals and humans, research in coping strategies in humans and animals has, with few (notable) exceptions (Zozulya et al., 2008; Cavigelli et al., 2013), surprisingly little overlap in its discussion and implications of the results. Whereas human research is based on (unconscious or conscious) psychological coping mechanisms that are thought to be influenced by personality traits, since assessment methods in animals are unable to evaluate the latter, coping in animal research is described by behavioral and physiological responses that are themselves equated to a personality concept. Based on earlier work studying individual differences between animals during defensive behavior, it was hypothesized that two fundamentally distinct coping styles exist: animals that respond to social interaction with an active fight–flight response that is characterized by a behavioral and neuroendocrine response highly suited to either attack or flight, versus animals that respond with a passive conservation-withdrawal response that is characterized by a neuroendocrine response resulting in behavioral inhibition (Benus et al., 1992). Blanchard et al. (2011) discussed fight–flight vs. conservation-withdrawal strategies in a social confrontation from a process approach as a function of the situational context in which it occurs, as influenced by external environmental forces: situational risk assessment (i.e., appraisal through auditory, visual, and olfactory detection) shapes the defensive response choice on a likelihood of success prediction compared with taking a different approach. For example, an animal may flight if an escape route is available, hide if there is a place of concealment, freeze if there is neither an escape route nor a hiding place, show defensive threats as the threat stimulus approaches, and defensive attack when contact with the threat stimulus is imminent. Indeed, the distance between the subject and the threat was found to be a rather precise determinant of freezing (longer distances) vs. fight behavior (shorter distances) (Blanchard et al., 2011). In contrast, similar to humans, a coping style is defined as a coping strategy that is consistent when measured repeatedly in the same situation, as well as in response to different situations, i.e., (at least to some degree) independent of the situational context (Koolhaas et al., 1999). In a social confrontation, fight–flight-type animals are more aggressive, attack, or actively try to escape when defeated, and are characterized by a predominantly sympathetic adrenal-medullary response pattern, whereas conservation-withdrawal-type animals are less aggressive, more immobile, hardly respond to attacks, and respond with a parasympathetically dominated response and greater adrenocortical activity. Indeed, Koolhaas et al. (1999) showed that mouse lines divergently selected for aggressive social behavior (attack latency) were representative of two distinct coping styles: proactive, aggressive (fight–flight type) animals and reactive, non-aggressive (conservation-withdrawal type) animals (Benus et al., 1991). In addition to differences in social behavior, the lines also differed with respect to other behavioral components. As opposed to reactive animals, proactive animals are fast exploring, impulsive, actively manipulate events, score high in frustration tests, and are risk takers and novelty seekers (Benus, 1988; Coppens et al., 2010). Overall, aggressive mice were better shock avoiders (Benus et al., 1989) and had greater mobility in a novel object test (Caramaschi et al., 2009). They tended to react in a rather routine way to changes in the environment (i.e., intrinsic behavioral control), whereas non-aggressive individuals seemed to be more attentive to their environment (i.e., extrinsic behavioral control) (Benus et al., 1987). Further research showed that also the social response of aggressive mice toward a conspecific was more routine-like and inflexible than that of non-aggressive mice (Benus et al., 1990).

Coping styles in rodent studies are extensively reviewed by Cavigelli et al. (2013). After the rodent studies, coping styles were reported in other species as well, in particular in animals managed by humans, such as pigs (Bolhuis et al., 2005), chickens (Jensen et al., 2005), cattle (Hopster, 1998), fish (Øverli et al., 2004), horses (Budzyńska, 2014), dogs (Horváth et al., 2007), and cats (Natoli et al., 2005), but also in natural species such as birds (Carere et al., 2001), marmots (Costantini et al., 2012), wild rabbits (Rödel and Monclús, 2011), chipmunks (Montiglio et al., 2012), salamanders (Crane et al., 2012), crickets (Kortet and Hedrick, 2007), and spiders (Johnson and Sih, 2005). It is now clear that variation in behavioral traits has a clear genetic basis and that behavioral traits do not inherit independently of each other (Van Oers et al., 2005). Because individual behavioral traits within a style are genetically correlated, (divergently) selecting for extremes of one behavioral style trait, such as aggression in the studies of Koolhaas et al. (1999), will result in a correlated response in other style traits. For example, Sluyter et al. (1995) showed that mice selected for short attack latency showed more nest-building behavior than those selected for high attach latency, whereas mice in a reciprocal selection experiment selected for high nest-building activity were more aggressive than those selected for low nest-building activity. Annen and Fujita (1985) showed that rats selected for “low emotional reactivity” (i.e., high ambulation and low defecation scores in a brightly lit runway) were also more aggressive than those selected for “high emotional reactivity or timidity,” and mink selected for confident reaction to humans showed more exploratory behavior across several social and non-social situations than mink selected for fearful reaction toward humans (Malmkvist and Hansen, 2002). Mice selected for high wheel-running behavior (voluntary physical activity) were more explorative in the open-field test, and showed more risk-taking behavior in approaching a novel object relative to a control line (Jónás et al., 2010). Great tits selected for slow exploratory performance took longer to attack than those selected for fast exploratory performance (Carere et al., 2005).

Coping in Livestock Animals

Livestock animals require to cope with the demands of a semi-natural production environment that includes few features that the individual can manipulate or change (Wechsler, 1995). Several studies have indicated that the behavioral organization of livestock has not been changed to a great extent by domestication; therefore, intensive housing conditions are likely to trigger behavioral and physiological coping efforts in response to aspects including limited space allowance, absence of key stimuli, and semi-natural feeding regimes and social group compositions (Duncan, 1998; Bracke and Hopster, 2006). Because unsuccessful coping is closely related to the development of abnormal (stereotypic) behavior, coping ability in livestock animals directly relates to the individual’s ability to adapt to specific management conditions and therefore animal wellbeing (Wechsler, 1995). In this context, coping research in livestock species is mostly directed to evaluation of the response to novel environmental cues, and (anti)social behavior.

Hessing et al. (1993) classified piglets in response to a restraint backtest as resistant, doubtful, or non-resistant. A high consistency in their behavioral response was observed in successive restraint tests, in addition, individuals that resisted in the backtest were also classified as “aggressive” individuals immediately after relocation and mixing, whereas individuals that did not resist were classified as “non-aggressive” individuals. The authors indicated that the results may be particularly important in realizing the optimum group composition based on individual characteristics. Indeed, Bolhuis et al. (2005) showed that resistant pigs initiated more fights, started fighting earlier, and spent more time fighting after regrouping. In addition, resistant pigs appeared to have a higher propensity to develop inflexible behavioral routines (Bolhuis et al., 2004). D’Eath and Burn (2002) and Cassady (2007), however, did not find any relationship between resistance in the backtest and aggressive behavior in a resident–intruder test in piglets. Neither did Janczak et al. (2003), who observed repeatability in response to specific or closely related stimuli, but did not find any correlation between resistance to the backtest, and a resident-intruder, human in the home cage, or novel object test.

The conclusion was shared by Herskin et al. (2004) in dairy cows, who observed stimulus specificity in the reactions of dairy cows toward different novel object tests. Also Gibbons et al. (2009) observed consistency over time in flight response scores and consistency between different human approach situations, but no consistency was found between human approach situations and novel object test scores. However, Müller and Von Keyserlingk (2006) observed that beef cattle having higher temperament as measured by repeated measurements of flight speed from a squeeze chute were more agitated during a social separation test as measured by locomotion and behavioral states. In rangeland-raised beef cattle, Wesley et al. (2012) observed consistent behavioral styles in foraging behaviors across contexts (confinement vs. rangeland pasture), and also MacKay et al. (2013) observed a correlation between observations in a short-term temperament test and aggression at feeders.

Korte et al. (1998) observed that chicks from a low feather pecking line of laying hens had a higher parasympathetic activity in response to manual restraint than chicks from a high feather pecking line, and concluded that individuals of both lines were passive and active, respectively, in terms of coping style. This was supported by Jensen et al. (2005), who observed that feather pecking behavior in chickens was positively correlated with activity in an open-field test, novel food/novel object test, and in a restraint test, which suggests that feather pecking might be genetically linked to a proactive coping style. However, Jones et al. (1995) observed that individuals from a chicken line selected for high feather pecking showed more freezing, and less vocalization and activity in an open-field, which is more indicative of a reactive coping style.

It has been proposed that lack of repeatability of intra-test results may result when tests are more situation-specific and therefore less indicative of true differences in individual stress-coping behavior measurable throughout an individual’s life (Cassady, 2007). Lack of correlations between both intra- and inter-test results have been proposed to result from differences in stability of underlying emotions, or the perception of or the biological motivation toward certain tests (Ruis et al., 2000). In addition, Ruis et al. (2000) indicated that the (dynamics of) group compositions may affect the individual coping response of animals and as a result the correlations between results and the interpretation of data.

Coping Style as a Life-History Trait

Adaptation and Survival

A renewed interest in coping styles has emerged in the fields of ecology, evolutionary, and natural biology, with a focus on the structure of coping styles, its proximate and ultimate causes, its relation to life-history strategies, and consequently its ecological and evolutionary significance (Wolf and Weissing, 2012; MacKay and Haskell, 2015). Thus far, research into coping behavior in the context of natural evolution had followed the coping process approach, under the understanding that behavioral strategies were potentially infinitely plastic and, therefore, natural selection favored different optimal strategies in different situational contexts (Sih et al., 2004; Bell, 2007). In the ecological literature, coping style, or within-individual consistency in behavior, is also referred to as “behavioral type”; proactive, aggressive copers are referred to as “bold types” and reactive, non-aggressive copers as “shy types.” In addition, a new dimension has been added, the behavioral syndrome, which refers to between-individual consistency in behavior across multiple situations, or “the correlation of rank-order differences between individuals over time and/or across situations” (Bell, 2007). Behavioral syndromes are thus a property not only of the individual, but also of the population, since they describe the distribution of behavioral types (or coping strategies) within a population (MacKay and Haskell, 2015). As reviewed by DeWitt et al. (1998), adaptive phenotypic plasticity infers costs such as those related to the production and maintenance of sensory and regulatory mechanisms of plasticity, and information acquisition. However, the cost and benefits of limited plasticity, as implied by the existence of behavioral syndromes, may trade-off with the ability to adapt to a variety of environments. Therefore, the existence of coping styles implies that individuals may be adapted to a certain environment but display behaviors that are suboptimal in a different one. For example, proactive copers rely mainly on internally organized predictions, which may be fast but also inaccurate in new situations, whereas passive copers are more guided by external stimuli than active copers and hence their behavior is more flexible and adaptable to variable and unpredictable environmental conditions (Benus, 1988; Coppens et al., 2010). Similarly, too high levels of aggression may be unsuitable in contexts where caution and care may be more appropriate, but unaggressive individuals may do poorly in competitive situations (Sih et al., 2004). However, although the flexibility or variety of behavioral strategies employed by an individual in different situations is, to some extent, restricted (behavioral types), the magnitude of the response in different situations may be flexible (behavioral syndrome), while consistently differing from that of other individuals in the population (Biro and Stamps, 2008).

Coping styles are closely related to individual fitness and are part of life-history strategies, since they are related to risk-taking behavior and form general adaptive response patterns in reaction to everyday challenges and stress (Coppens et al., 2010). In addition, activity, exploration, boldness, and aggression are energetically costly. Life history is commonly defined as a set of evolved behavioral and physiological strategies that more or less influence longevity and reproduction and may include fitness traits such as reproductive success, survival, viability, fecundity, mating success, and age at maturity (Schluter et al., 1991). A fundamental assumption of life-history theory is that resources are limited and need to be distributed among growth, reproduction, and maintenance, or stored for future use. Since resources used for one purpose are no longer available for other purposes, trade-offs are inevitable. Therefore, coping styles can be expected to trade off against other life-history traits (Wolf et al., 2007; Wolf and Weissing, 2012). Natural selection results in the optimal allocation of resources across important life-history functions (Brommer, 2000; Roff, 2007). Since nature has not favored any coping strategy in particular, both strategies may have benefits and should be considered as alternative strategies to cope with environmental demands (Coppens et al., 2010). More recently, behavioral syndrome theory has been integrated in the life-history pace-of-life syndrome hypothesis, thus mapping behavioral styles on the “slow” (low metabolic rate, slow development, late maturation, long life span, high investment in few offspring) to “fast” (high metabolic rate, fast development, fast maturation, low survival, low investment in many offspring) pace-of-life scale, and connecting them with a series of metabolic, hormonal, and immunity traits that underlie this syndrome (Réale et al., 2010). Indeed, several empirical studies provide evidence for links between behavioral types and food intake, growth, and reproductive traits (Biro and Stamps, 2008). Bold individuals with high levels of aggression may have better access to resources necessary for fast development and early reproduction, and have more reproductive success, but this may also be associated with a higher risk of mortality. Indeed, Smith and Blumstein (2008) showed in a meta-analysis that bolder individuals have greater reproductive success but this incurs a survival cost. Thus, shy individuals that have reduced short-term reproductive success but live longer may have the same overall fitness as bold individuals.

Health

The Type A behavior pattern in humans arose from the observation by Friedman and Rosenman that patients with cardiac disorders seemed to have different behavioral characteristics than noncardiac patients. Meanwhile, Type A as an independent risk factor for coronary heart disease (CHD) has been firmly established (Matthews, 1982). However, the nature of the link with Type A behavior was not immediately recognized, partly because the definition of Type A behavior is broad and complex and has been described (and sometimes misclassified) in a wide variety of ways (Friedman and Booth-Kewley, 1987). As proposed by Lazarus (1993b), it appears that it is the stress emotional state that determines whether individuals classified as Type A are prone to CHD while those classified as Type B are not (Friedman and Booth-Kewley, 1987). For example, it appears that emotional reactions of impatience, hostility or repressed hostility, anger, aggression, and tenseness are characteristic of the CHD-prone person. Therefore, hostile, competitive, aggressive striven Type A individuals may be prone to CHD but not active, hard-working, confident, charismatic, socially skilled, dominant, vigorous, ambitious individuals. Likewise, relaxed, easygoing, reserved Type B individuals may not be prone to CHD, but individuals that experience strong emotions but have some difficulty in expressing them openly may be prone to CHD. In addition, depression and anxiety appear to be underlying risk factors for CHD that are not always clearly expressed in the expected behavioral type (Diamond, 1982; Friedman and Booth-Kewley, 1987). Folkman et al. (1986) showed that individuals who display more confrontive coping (e.g., “stood my ground and fought for what I wanted”), distancing (e.g., “went on as if nothing had happened”), self-controlling (e.g., “I tried to keep my feelings to myself”), accepting responsibility (e.g., “criticized or lectured myself”), and escape avoidance behaviors (e.g., “wished that the situation would go away or somehow be over with”) had a lower somatic health status, whereas individuals that felt more “mastery” (i.e., that regard one’s life chances as being under one’s control in contrast to being fatalistically determined) were healthier. However, Folkman (1984) indicates that in humans, being in control may not always be stress reducing and result in a positive situational appraisal.

Also in other animals, proactive and reactive individuals are found to differ in the physiological and neuroendocrinological response to stress, which may have implications for their health status. Several studies, as reviewed by Koolhaas (2008), demonstrate that the nature of the neuroendocrine stress response may modulate the immune response and individual vulnerability to disease. The response of proactive animals is often found to be dominated by an enhanced sympathetic and (nor-)adrenergic response, resulting in high plasma levels of adrenalin and noradrenalin and a high heart rate and blood pressure, whereas the response of reactive animals is dominated by enhanced parasympathetic activation and a high hypothalamic–pituitary–adrenal (HPA) response, resulting in a bradycardia response in reaction to a sudden unpredicted stressor and increased plasma levels of corticosteroids. However, when defeated in a social confrontation, proactive animals appear to respond with a corticosterone response that is higher than that of defeated reactive mice (Carere et al., 2001; Koolhaas, 2008). Morrow-Tesch et al. (1994) showed that both socially dominant and submissive pigs were immune compromised (elevated numbers of neutrophils, decreased antibody production) compared with socially intermediate pigs and concluded that although dominance may afford the animal greater priority to resources (like food and mates), it may have some immunosuppressing effects as well.

The reactivity of the stress response is shaped both by genetics as well as by gene × environment interactions resulting in epigenetic modifications (Rauw and Gomez Raya, 2017). Kadarmideen and Janss (2007) estimated that cortisol in a pig selection experiment is highly genetically determined with heritabilities of 0.40–0.70. They observed that cortisol levels are determined by a mixture of genes with large and small effects, but also detected a major gene with an additive effect of 86 ng/ml. Sautron et al. (2015) identified 65 genes in pigs as biological markers of HPA axis activation at the gene expression level. In chickens, Fallahsharoudi et al. (2017) detected one genome-wide significant QTL on chromosome 5 and two suggestive QTL which together explained 20% of the variance in corticosterone response.

Energetic Trade-Offs

Although energetics is a fundamental assumption of life-history theory, surprisingly little is published to date on theory or observation linking behavioral styles and syndromes to energy budgets and resource allocation. However, because exploration, boldness, and aggression are energetically costly, from a resource allocation point of view it can be expected that different coping strategies may constitute different metabolic costs and present different trade-offs with growth, reproduction, and immune function. For example, depending on body weight, a minimum cost can be defined for such activities as walking, running, flying, and swimming (Tucker, 1970; Videlex and Nolet, 1990). Fighting depletes energy reserves and (anticipated) metabolic consequences may determine strategic decision making during social interaction (Neat et al., 1998). In fish, Neat et al. (1998) showed that escalated fighting is costly for both winners and losers, but especially for losers. Indeed, aggressive disposition may be beneficial if it allows for greater food intake and faster growth. Similarly, for bold individuals, the benefits in terms of dispersal potential and gaining access to new resources may be offset by increased energetic costs from higher metabolic rates when at rest (Myles-Gonzales et al., 2015). Indeed, when food cannot be monopolized, the greater costs of behaviors associated with an increased standard metabolic rate may significantly reduce growth (Vøllestad and Quinn, 2003; Georgiev et al., 2013). Careau et al. (2010) found that aggressive dog breeds have higher energy needs than unaggressive ones and, in addition, docile dogs live longer than bold ones. Biro and Stamps (2010) reviewed literature that reported significant positive relationships of several types of behavior (aggressive behavior, success in competitive interactions, activity rates, boldness, scrounging, courtship) with resting metabolic rate and therefore maintenance cost in a diverse array of taxa.

Because behaviors underlying fight–flight behavior are fueled by a greater metabolic rate, it may appear that fight–flight coping styles are costlier than conservation–withdrawal styles. However, the multi-axial physiological stress response may also demand a significant amount of resources. Indeed, the concept of allostasis, i.e., energy demanded by physiological mediators or “homeostats” of the physiological stress response is deeply integrated into the concept of life history theory and trade-offs through resource allocation (Goldstein, 2003; Rauw and Gomez Raya, 2017). One of the best known physiological mediators is the HPA axis, which functions as a primary mediator of energy balance homeostasis, as a master organizer of life-history transition, and as an integral responder to stressors (Crespi et al., 2013). Glucocorticoid-induced physiological changes include gluconeogenesis for providing energy to fuel the greater metabolic demands, and the stimulation of feeding behavior to replenish depleted energy stores following a stress response (Matteri et al., 2000). Resources used by this and other physiological mediators determine the total energy demanded or “allostatic load,” which is a function of the response to metabolic demand of daily and seasonal routines and of unpredictable stressors (Romero et al., 2009). When stimulation of the mediators is prolonged or severe, such that costs are larger than those available in the reserve, resources must be reallocated away from other biological functions, which then become impaired (Moberg, 2000). For example, increased costs associated with the stimulation of the HPA axis result in reduced growth rates in all livestock species (Rauw and Gomez Raya, 2015). In addition, glucocorticoids are largely immunosuppressive, which could be an adaptive mechanism to reallocate resources from activation of the immune defense system (Råberg et al., 1998). Therefore, the reduced cost of the coping response of reactive individuals that result from reduced levels of activity and aggression may (partly) be offset by increased energetic costs associated with a higher HPA response.

Coping Styles and Domestication

In their famous fox experiment, Belyaev et al. (1985) showed that domestication meant that individuals were selected for tameness, or tolerance of and reduced aggression toward humans. In addition to unconscious or deliberate selection for the domesticated behavioral non-aggressive, tame phenotype, dogs are proposed to have passed a phase of self-domestication, where less aggressive domesticated phenotypes gained increased access to resources in human settlements. The self-domestication hypothesis has also been proposed for the origin of numerous differences between bonobos and chimpanzees (Hare et al., 2012), and even for our hominid ancestors, resulting in new forms of social interaction and communication (Hare and Tomasello, 2005). Indeed, Hare et al. (2012) propose that self-domestication through natural selection for reduced aggression may have been a widespread process in mammalian evolution. Because of the concomitant systematical down-regulation of aggressive behavior in (self-)domesticated mammals, it can be hypothesized that domestication resulted in the selection of non-aggressive individuals with a more reactive coping style. Indeed, Red Jungle Fowl are found to be more explorative and active compared to domestic chicken breeds (Ericsson and Jensen, 2016). In addition, wild cavies showed more explorative behavior in an open-field, and were more risk-taking when having to jump off an elevated platform than domestic guinea pigs (Zipser et al., 2014). According to Price (1999), the single most important effect of domestication on behavior is possibly reduced sensitivity and increased adaptability to environmental changes, a characteristic that can be observed in virtually all populations of domestic animals. This theory appears to be supported by the observation that both domesticated and reactive individuals show increased serotonin neurotransmitter levels, which plays a role in impulsive aggression at the level of the prefrontal cortex (Coppens et al., 2010). Selection for tameness in silver foxes (Popova et al., 1991b) and low aggressiveness to man in Norway rats (Popova et al., 1991a) has resulted in animals that show a higher serotonin neurotransmitter level in the midbrain and hypothalamus. Selection for low fear of humans in Junglefowl (Agnvall et al., 2015) resulted in males that had higher plasma levels of serotonin. It has therefore been proposed that the brain serotonergic system is involved in the mechanism of domestication, converting wild aggressive/defensive animals into tame ones (Popova et al., 1991b). Also, reactive mice and rats have been shown to have higher serotonin levels than proactive animals (Coppens et al., 2010). A brain circuit in which serotonin neurons moderate coping behavior was recently presented by Puglisi-Allegra and Andolina (2015). Although both reactive and proactive behavioral styles are particularly well described in many domesticated species, the degree of behavioral expression may have changed. According to Koolhaas et al. (1999), a bimodal or otherwise non-normal distribution of behavioral styles (mostly latency measures) is found in feral and wild animal populations, whereas several investigations using laboratory strains or livestock animals were unable to find clearly distinct coping styles (including resistance in a backtest). It was proposed that these non-normal distributions may result when intermediate coping styles are less successful in nature and thus have reduced fitness. Alternatively, coping styles of domesticated animals may overlap (or be normally distributed within) the reactive behavioral style of wild ancestors.

Because aggression is an essential part both of behavioral styles and the domestication syndrome, it can be theorized that (self)-domestication of animals through selection of individuals with a “reactive coping style” resulted in concomitant changes both in other behavioral style traits, as well in traits included in the domestication syndrome. The domestication syndrome recognizes phenotypic regularities in the domesticated phenotype, which include neoteny, loss of strict seasonal patterns of reproduction, increased fertility, variations in coat color and texture, docility, alterations in skull shape, and floppy ears (Wilkins et al., 2014). Indeed, compared with chimpanzees, less severe forms of aggression in self-domesticated bonobos also resulted in reduced cranial size, a white tail-tuft, intensified sexual behavior, and more play behavior into adulthood (Hare et al., 2012). However, the domestication syndrome and the reactive coping style do not overlap, indeed appear to be quite opposite, in one important aspect: the HPA axis reactivity to stress, which is responsible for fear, stress, and adaptation. Domestication quite consistently results in a delayed adrenal gland maturation and a decrease in the functional state of the HPA axis, resulting in an extended socialization window, and a relatively immature emotional response to social threat, raising the behavioral thresholds for aggression, fight, and flight (Zeder, 2012; Wilkins et al., 2014). In silver foxes selected for tameness, basal, and stress-induced blood cortisol levels decreased with advancing selection, and had reduced three- and fivefold in generation 45, respectively (Trut et al., 2009). Also in rats selected for tameness, serum corticosterone levels were significantly lower than in rats selected for defensive aggression toward humans (Albert et al., 2008). Künzl and Sachser (1999) showed that the reactivity of the pituitary–adrenocortical system was distinctly reduced in the domesticated guinea pig compared to its wild ancestor the cavy, and Fallahsharoudi et al. (2015) showed that domesticated chickens have a blunted HPA axis reactivity compared to their red junglefowl ancestors. This is in contrast to the coping style of reactive animals, which is often found to be dominated by a high HPA response. However, although these differences are quite consistently observed in different species, animals with different coping strategies do not always show this typical stress response (Herborn et al., 2011). For example, Frank et al. (2006) showed that rats that were divergently selected for high or low trait anxiety showed highly divergent reactive and proactive coping behaviors, respectively, however, adrenocorticotropin and corticosterone were secreted to a higher extent in the proactive low anxiety line, indicating a dissociation of behavioral and neuroendocrine stress responses. Also, Ferrari et al. (2013) observed that cortisol production in wild marmots was totally independent of behavioral coping styles in reaction to a stressor.

As in humans, this discrepancy may be resolved by distinguishing coping styles from personality variables. In agreement with observations in humans, Koolhaas (2008) proposed that the physiological response is related to individual emotionality rather than the coping style dimension an sich. Van Reenen et al. (2005) observed that measures of adrenocortical and behavioral reactivity in an open-field and novel object test were highly consistent over time, however, HPA axis reactivity to ACTH or CRH was unrelated to adrenocortical and behavioral responses to novelty. They suggested that, instead, high cortisol and avoidance responses to novelty reflect underlying fearfulness, and proposed a model that maps the response along two independent underlying dimensions: activity and fearfulness. In addition, the (perception of or hope for) success of the individual in employing a coping strategy to master, reduce, or tolerate the internal and/or external demands that are created by the stressful event may influence the perception and appraisal of the stress event. Indeed, whereas an individual that has a reactive coping style in nature may not necessarily have a reduced perception of the stressor, domestication specifically meant selecting for tameness, i.e., a combination of low aggression and low fearfulness. Interdisciplinary research provides evidence that (to some degree) animals experience emotions such as joy, fear, love, despair, and grief (Bekoff, 2000), and have the capacity for episodic memory and future planning (Zentall, 2013). Therefore, whereas human research benefits from the ability of individuals to articulate the dimensions of their coping strategies in terms of their behavioral response but also their emotion, motivation, control, and event appraisal, equating coping response with personality in animal research may delimit our understanding of animal coping strategies.

Selection for Feed Efficiency in Livestock: Further Domestication?

From an energetic perspective, the process of domestication tended to reallocate resources used for processes that were no longer needed in the domesticated phenotype (vigilance, fight off predators, search for food, periods of food shortage) to increased production (meat, milk, eggs, wool, reproduction). Reduced levels of activity, aggression, and a delayed and immature HPA axis response support that trend. Subsequently, production levels further increased with conscious selection for production traits. However, when resources become limited, it is expected that a further increase in production must result in further energy sparing on traits that are not directly selected for. Therefore, it can be hypothesized that under these conditions, selection for increased production may tend to, vice versa, further reduce aggression, activity, and the HPA axis response. In addition, selection for improved feed efficiency is expected to emphasize this trend because it specifically reduces the overall energy budget or metabolic scope.

Indeed, as reviewed by Rauw (2012), the literature shows a trend toward reduced activity with selection for improved feed efficiency, i.e., low residual feed intake or feed conversion ratio, or high feed conversion efficiency. Both Braastad and Katle (1989) and Luiting et al. (1991) showed that laying hens selected for low RFI were less active than those selected for high RFI. Efficient chickens were reported to spend more time resting than inefficient chickens (Morrison and Leeson, 1978; Katle et al., 1984). Meunier-Salaün et al. (2014) showed that a reduced physical activity in pigs from a line selected for low RFI contributed significantly to their improved feed efficiency. Sadler et al. (2014) observed that gilts from a line selected for low RFI spent less time standing, more time sitting, and were less active overall than pigs from a control line, and Colpoys et al. (2014) showed that low RFI male pigs were less active than those from a high RFI line. In growing cattle, variation in physical activity was estimated to account for approximately 10% of the variation in RFI (Herd et al., 2004).

In addition, the literature suggests a reduced fear response with selection for feed efficiency. Richardson and Herd (2004) report a positive genetic relationship between blood cortisol concentration of steers and their sire’s breeding value estimates for RFI, and a significantly lower blood cortisol concentration in steers selected for low RFI compared to steers selected for high RFI. Aleri et al. (2016) also showed that plasma cortisol concentrations in cattle were lower in high feed conversion efficiency cow phenotypes than in low feed conversion efficiency phenotypes 48 h post-yarding and handling. Chickens selected for low RFI in the study of Luiting et al. (1994) had a lower cortisol response to an ACTH challenge, albeit for a longer period, than chickens selected for high RFI. Efficient chickens have been reported to show a lower sensitivity to environmental disturbances than inefficient chickens (Morrison and Leeson, 1978; Katle et al., 1984). In pig, Colpoys et al. (2014) showed that male pigs from a line selected for low RFI displayed a shorter duration of freezing, froze less frequently, and attempted to escape less frequently than high-RFI pigs (Colpoys et al., 2014). In the same pig lines, Sadler et al. (2014) showed that gilts from the low-RFI line tended to have lower baseline cortisol concentrations and were less responsive to an ACTH challenge than gilts from the high-RFI line (Jenkins et al., 2013). In sheep, Knott et al. (2008) also observed that low-RFI sheep had a lower increase in cortisol concentration following an ACTH challenge.

Selection for juvenile body weight in poultry reduced rates of aggressive interactions in the study of Marsteller et al. (1980). Schütz and Jensen (2001) suggest that selection for feed efficiency in laying hens resulted in a concomitant reduction in social interactions saving energy that could be reallocated to production traits. Indeed, high efficient hens in the study of Braastad and Katle (1989) showed less escape and aggressive behavior than low efficient hens. However, according to Kjaer and Mench (2003) selection for increased egg production and concomitant acceleration of maturity and the onset of lay has also shown to result in animals that are socially more dominant and more aggressive than unselected hens. Likewise, although it is observed that livestock animals with a calm temperament have higher average daily gains than those with excitable temperaments (Voisinet et al., 1997; Holl et al., 2010), selection for high lean gain in pigs has also favored genetic lines with increased incidence of porcine stress syndrome (PSS) and individuals that have increased levels of fear and anxiety and more excitable temperaments. In these animals, the altered muscle properties responsible for faster lean growth also altered the response of muscle to the process of conversion to meat, leading to pale and soft exudative (PSE) and dark, firm, and dry (DFD) pork (Pajor et al., 2000; Lonergan et al., 2001; Adzitey and Nurul, 2011). In addition, social (aggressive) behavior of group-housed animals depends not only on the genotype of the individual but also on that of its group members (Wade et al., 2010). In this context, selection for individual performance of production efficiency may favor dominant (aggressive) individuals with higher resource acquisition and faster growth. Indeed, as reviewed by Muir (2003) selection based on individual bird productivity is associated with increased social dominance and aggressiveness when animals are housed in groups, resulting in higher rates of mortality and a negative response in group performance. Instead, group selection for production traits, taking into account competitive interactions of group members, reduced agonistic activity including feather pecking and cannibalism, improved feather scores, increased whole-blood serotonin concentrations, reduced fear-related behavior, and improved ability to withstand social, handling and environmental stress (Muir, 2003; Bolhuis et al., 2009; Ellen et al., 2014). In pigs, in one generation of selection for indirect genetic effects, selected pigs performed less non-reciprocal biting and showed considerably less aggression at reunion with familiar group members after they had been separated during a 24 h regrouping test (Camerlink et al., 2013).

The results suggest that selection for improved production efficiency, i.e., increased production on reduced feed intake, may be regarded as further selection for the domestic phenotype, thereby further reducing aggression, activity, and the fear response in domesticated livestock. However, the trend may depend on the genotype and the (social) environment in which the animals are selected. This hypothesis can be tested by following correlated traits in a selection experiment for production efficiency in livestock species, including measures of production efficiency, activity, aggressive behavior, fear response, HPA axis activity, and serotonin concentration. Several of the aforementioned studies suggest that selection for feed efficiency may improve stress-coping abilities and result in an animal welfare benefit in terms of calmer animals that are less reactive to novelty (e.g., Richardson and Herd, 2004; Colpoys et al., 2014; Aleri et al., 2016). However, because glucocorticoid hormones have been found to strengthen the adaption processes to stressors, including newborn survival, resistance to bacteria and parasites, and tolerance to heat stress (Mormède et al., 2010), further selecting for the domesticated phenotype may not necessarily be beneficial in all aspects.

Synthesis and Conclusion

Coping styles, defined as a coherent set of behavioral and physiological stress responses that are consistent over time and characteristic to a certain group of individuals, have been described both in humans and in other animal species, and both in response to stressors in a natural environment, as well as in response to stressors in human-controlled production environments. Because coping styles function to reduce, minimize, master, or tolerate the internal and external demands of a stressful event, they are directly related to individual fitness, i.e., they are part of the life-history strategy.

A basic assumption of life-history strategy is the concept of energy budgets and energetic trade-offs between life-history traits. Behavioral styles trade off with other life-history traits through the acquisition and allocation of resources. Increased allocation costs of resources to employment of a coping style can result in greater fitness when this results in greater resource acquisition and/or reproductive success. However, in the production environment, domestication and subsequent artificial selection for production traits specifically focused on selection of individuals with energy sparing mechanisms for non-production traits. First, domestication resulted in animals with low levels of aggression and activity, and a low HPA axis reactivity. These animals were easier to handle and resources needed for these processes could now be invested into higher productive and reproductive outputs. We propose that, vice versa, selection for improved production efficiency may to some extent continue to favor docile domesticated phenotypes.

It is hypothesized that both domestication and selection for improved production efficiency result in the selection of predominantly reactive style animals. Both domesticated and reactive style animals are characterized by low levels of aggression and activity, and increased serotonin neurotransmitter levels. However, there is a discrepancy with respect to the HPA response, i.e., whereas domestication quite consistently results in a decrease in the functional state of the HPA axis, the reactive coping style is often found to be dominated by a high HPA response. The discrepancy may be resolved by distinguishing coping styles from personality variables. Our hypothesis may support the need to map the coping response along two independent underlying dimensions: coping behavior and fearfulness. Although the two dimensions often appear to be related, the latter in reality may mediate the coping response independently, as influenced by perception and appraisal of the stress event, which in turn is influenced by characteristics such as personality, emotion, motivation, and perception of control. In contrast to natural selection, domestication specifically involved animals that display a combination of low aggression and low fearfulness. As difficult as it is to quantify emotion and appraisal in animals, this suggests that coping response should not be equated to a concept of personality. Although it is generally proposed that animal welfare improves with selection for calmer animals that are less fearful and reactive to novelty, others have warned that animals bred to be less sensitive with fewer desires may be undesirable from an ethical point of view. In other words, extreme genetic modification of animals into “senseless, emotionless machines” that have no desires may be viewed as morally problematic (D’Eath et al., 2010; Rauw and Gomez Raya, 2015).

Author Contributions

All authors conceived the article subject and developed the concepts during the draft. WR wrote the manuscript. AJ, LG-R, and JD commented on the drafts. All authors accepted the final version of the manuscript.

Funding

This work was funded by the Ministerio de Economía y Competitividad of the Spanish Government, project “Caracterización molecular de la eficiencia alimentaria y de los caracteres reproductivos en cerdo ibérico” (AGL2016-75942-R). This research is presented in support of SusAn project No. 35 “Sustainability of pig production through improved feed efficiency (SusPig)”, an ERA-Net co-funded under European Union’s Horizon 2020 research and innovation programme (www.era-susan.eu), under Grant Agreement n°696231.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Adzitey, F., and Nurul, H. (2011). Pale soft exudative (PSE) and dark firm dry (DFD) meats: causes and measures to reduce these incidences – a review. Int. Food Res. J. 18, 11–20.

Google Scholar

Agnvall, B., Katajamaa, R., Altimiras, J., and Jensen, P. (2015). Is domestication driven by reduced fear of humans? Boldness, metabolism and serotonin levels in divergently selected red junglefowl (Gallus gallus). Biol. Lett. 11:20150509. doi: 10.1098/rsbl.2015.0509

PubMed Abstract | CrossRef Full Text | Google Scholar

Albert, F. W., Shchepina, O., Winter, C., Römpler, H., Teupser, D., Palme, R., et al. (2008). Phenotypic differences in behavior, physiology and neurochemistry between rats selected for tameness and for defensive aggression towards humans. Horm. Behav. 53, 413–421. doi: 10.1016/j.yhbeh.2007.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Aleri, J. W., Hine, B. C., Pyman, M. F., Mansell, P. D., Wales, W. J., Mallard, B., et al. (2016). An assessment of immune and stress responsiveness in Holstein-Friesian cows selected for high and low feed conversion efficiency. Anim. Prod. Sci. 57, 244–251. doi: 10.1071/AN15406

CrossRef Full Text | Google Scholar

Annen, Y., and Fujita, O. (1985). Relationship between emotionality of intruders and aggressive behavior of residents in rats. Jpn. Psychol. Res. 27, 119–124. doi: 10.4992/psycholres1954.27.119

CrossRef Full Text | Google Scholar

Bekoff, M. (2000). Animal emotions: exploring passionate natures. Bioscience 50, 861–870. doi: 10.1641/0006-3568(2000)050[0861:AEEPN]2.0.CO;2

CrossRef Full Text | Google Scholar

Bell, A. M. (2007). Future directions in behavioural syndromes research. Proc. Biol. Sci. 274, 755–761. doi: 10.1098/rspb.2006.0199

PubMed Abstract | CrossRef Full Text | Google Scholar

Belyaev, D. K., Plyusnina, I. Z., and Trut, L. N. (1985). Domestication in the silver fox (Vulpes fulvus Desm): changes in physiological boundaries of the sensitive period of primary socialization. Appl. Anim. Behav. Sci. 13, 359–370. doi: 10.1016/0168-1591(85)90015-2

CrossRef Full Text | Google Scholar

Benus, R. F. (1988). Aggression and Coping. Differences in Behavioural Strategies between Aggressive and Non-Aggressive Male Mice. Ph.D. thesis, University of Groningen, Groningen, 156.

Google Scholar

Benus, R. F., Bohus, B., Koolhaas, J. M., and Van Oortmerssen, G. A. (1989). Behavioural strategies of aggressive and non-aggressive male mice in active shock avoidance. Behav. Process. 20, 1–12. doi: 10.1016/0376-6357(89)90008-9

CrossRef Full Text | Google Scholar

Benus, R. F., Bohus, B., Koolhaas, J. M., and Van Oortmerssen, G. A. (1991). Heritable variation for aggression as a reflection of individual coping strategies. Experientia 47, 1008–1019. doi: 10.1007/BF01923336

PubMed Abstract | CrossRef Full Text | Google Scholar

Benus, R. F., Den Daas, S., Koolhaas, J. M., and Van Oortmerssen, G. A. (1990). Routine formation and flexibility in social and non-social behaviour of aggressive and non-aggressive male mice. Behaviour 112, 176–193. doi: 10.1163/156853990X00185

CrossRef Full Text | Google Scholar

Benus, R. F., Koolhaas, J. M., and Van Oortmerssen, G. A. (1987). Individual differences in behavioural reaction to a changing environment in mice and rats. Behaviour 100, 105–122. doi: 10.1163/156853987X00099

CrossRef Full Text | Google Scholar

Benus, R. F., Koolhaas, J. M., and Van Oortmerssen, G. A. (1992). Individual strategies of aggressive and non-aggressive male mice in encounters with trained aggressive residents. Anim. Behav. 43, 531–540. doi: 10.1016/S0003-3472(05)81013-9

CrossRef Full Text | Google Scholar

Biro, P. A., and Stamps, J. A. (2008). Are animal personality traits linked to life-history productivity? Trends Ecol. Evol. 23, 361–368. doi: 10.1016/j.tree.2008.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Biro, P. A., and Stamps, J. A. (2010). Do consistent individual differences in metabolic rate promote consistent individual differences in behavior? Trends Ecol. Evol. 25, 653–659. doi: 10.1016/j.tree.2010.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanchard, D. C., Griebel, G., Pobbe, R., and Blanchard, R. J. (2011). Risk assessment as an evolved threat detection and analysis process. Neurosci. Biobehav. Rev. 35, 991–998. doi: 10.1016/j.neubiorev.2010.10.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolhuis, J. E., Ellen, E. D., Van Reenen, C. G., De Groot, J., Ten Napel, J., Koopmanschap, R. E., et al. (2009). Effects of genetic group selection against mortality on behavior and peripheral serotonin in domestic laying hens with trimmed and intact beaks. Physiol. Behav. 97, 470–475. doi: 10.1016/j.physbeh.2009.03.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolhuis, J. E., Schouten, W. G. P., De Leeuw, J. A., Schrama, J. W., and Wiegant, V. M. (2004). Individual coping characteristics, rearing conditions and behavioural flexibility in pigs. Behav. Brain Res. 152, 351–360. doi: 10.1016/j.bbr.2003.10.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolhuis, J. E., Schouten, W. G. P., Schrama, J. W., and Wiegant, V. M. (2005). Individual coping characteristics, aggressiveness and fighting strategies in pigs. Anim. Behav. 69, 1085–1091. doi: 10.1016/j.anbehav.2004.09.013

CrossRef Full Text | Google Scholar

Braastad, B. O., and Katle, J. (1989). Behavioural differences between laying hen populations selected for high and low efficiency of food utilisation. Br. Poult. Sci. 30, 533–544. doi: 10.1080/00071668908417177

PubMed Abstract | CrossRef Full Text | Google Scholar

Bracke, M. B. M., and Hopster, H. (2006). Assessing the importance of natural behavior for animal welfare. J. Agric. Environ. Ethics 19, 77–89. doi: 10.1007/s10806-005-4493-7

CrossRef Full Text | Google Scholar

Brommer, J. E. (2000). The evolution of fitness in life-history theory. Biol. Rev. 75, 377–404. doi: 10.1017/S000632310000551X

CrossRef Full Text | Google Scholar

Budzyńska, M. (2014). Stress reactivity and coping in horse adaptation to environment. J. Equine Vet. Sci. 8, 935–994. doi: 10.1016/j.jevs.2014.05.010

CrossRef Full Text | Google Scholar

Byrne, D. (1961). The repression-sensitization scale: rationale, reliability, and validity. J. Pers. 29, 334–349. doi: 10.1111/j.1467-6494.1961.tb01666.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Camerlink, I., Turner, S. P., Bijma, P., and Bolhuis, J. E. (2013). Indirect genetic effects and housing conditions in relation to aggressive behaviour in pigs. PLOS ONE 8:e65136. doi: 10.1371/journal.pone.0065136

PubMed Abstract | CrossRef Full Text | Google Scholar

Caramaschi, D., De Boer, S. F., and Koolhaas, J. M. (2009). Is There Co-Selection for Aggressiveness, Coping Strategy and Emotionality in Mice? The Physiology of Aggression: Towards Understanding Violence. Ph.D. thesis, University of Groningen, Groningen.

Careau, V., Réale, D., Humphries, M. M., and Thomas, D. W. (2010). The pace of life under artificial selection: personality, energy expenditure, and longevity are correlated in domestic dogs. Am. Nat. 175, 753–758. doi: 10.1086/652435

PubMed Abstract | CrossRef Full Text | Google Scholar

Carere, C., Drent, P. J., Privitera, L., Koolhaas, J. M., and Groothuis, T. G. G. (2005). Personalities in great tits, Parus major: stability and consistency. Anim. Behav. 70, 795–805. doi: 10.1016/j.anbehav.2005.01.003

CrossRef Full Text | Google Scholar

Carere, C., Welink, D., Drent, P. J., Koolhaas, J. M., and Groothuis, T. G. G. (2001). Effect of social defeat in a territorial bird (Parus major) selected for different coping styles. Physiol. Behav. 73, 427–433. doi: 10.1016/S0031-9384(01)00492-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Cassady, J. P. (2007). Evidence of phenotypic relationships among behavioral characteristics of individual pigs and performance. J. Anim. Sci. 85, 218–224. doi: 10.2527/jas.2006-310

PubMed Abstract | CrossRef Full Text | Google Scholar

Cavigelli, S. A., Michael, K. C., and Ragan, C. M. (2013). “Behavioral, physiological, and health biases in laboratory rodents. A basis for understanding mechanistic links between human personality and health,” in Animal Personalities: Behavior, Physiology, and Evolution, eds C. Carere and D. Maestripieri (Chicago, IL: University of Chicago Press), 441–498.

Google Scholar

Colpoys, J. D., Abell, C. E., Young, J. M., Keating, A. F., Gabler, N. K., Millman, S. T., et al. (2014). Effects of genetic selection for residual feed intake on behavioral reactivity of castrated male pigs to novel stimuli tests. Appl. Anim. Behav. Sci. 159, 34–40. doi: 10.1016/j.applanim.2014.06.013

CrossRef Full Text | Google Scholar

Coppens, C. M., De Boer, S. F., and Koolhaas, J. M. (2010). Coping styles and behavioural flexibility: towards underlying mechanisms. Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 4021–4028. doi: 10.1098/rstb.2010.0217

PubMed Abstract | CrossRef Full Text | Google Scholar

Costa, P. T., and McCrea, R. R. (1992). Normal personality assessment in clinical practice: the NEO personality inventory. Psychol. Assess. 4, 5–13. doi: 10.1037/1040-3590.4.1.5

CrossRef Full Text | Google Scholar

Costantini, D., Ferrari, C., Pasquaretta, C., Cavallone, E., Carere, C., Von Hardenberg, A., et al. (2012). Interplay between plasma oxidative status, cortisol and coping styles in wild alpine marmots, Marmota marmota. J. Exp. Biol. 215, 374–383. doi: 10.1242/jeb.062034

PubMed Abstract | CrossRef Full Text | Google Scholar

Crane, A. L., McGrane, C. E., and Mathis, A. (2012). Behavioral and physiological responses of Ozark Zigzag Salamanders to stimuli from an invasive Predator: the armadillo. Int. J. Ecol. 2012:658437. doi: 10.1155/2012/658437

CrossRef Full Text | Google Scholar

Crespi, E. J., Williams, T. D., Jessop, T. S., and Delehanty, B. (2013). Life history and the ecology of stress: How do glucocorticoid hormones influence life-history variation in animals? Funct. Ecol. 27, 93–106. doi: 10.1111/1365-2435.12009

CrossRef Full Text | Google Scholar

D’Eath, R. B., and Burn, C. C. (2002). Individual differences in behaviour: a test of ‘coping style’ does not predict resident-intruder aggressiveness in pigs. Behaviour 139, 1175–1194. doi: 10.1163/15685390260437326

CrossRef Full Text | Google Scholar

D’Eath, R. B., Conington, J., Lawrence, A. B., Olsson, I. A. S., and Sandøe, P. (2010). Breeding for behavioural change in farm animals: practical, economic and ethical considerations. Anim. Welfare 19, 17–27.

Google Scholar

DeWitt, T. J., Sih, A., and Wilson, D. S. (1998). Costs and limits of phenotypic plasticity. Trends Ecol. Evol. 13, 77–81. doi: 10.1016/S0169-5347(97)01274-3

CrossRef Full Text | Google Scholar

Diamond, E. L. (1982). The role of anger and hostility in essential hypertension and coronary heart disease. Psychol. Bull. 92, 410–433. doi: 10.1037/0033-2909.92.2.410

PubMed Abstract | CrossRef Full Text | Google Scholar

Duncan, I. J. H. (1998). Behavior and behavioral needs. Poult. Sci. 77, 1766–1772. doi: 10.1093/ps/77.12.1766

CrossRef Full Text | Google Scholar

Ellen, E. D., Rodenburg, T. B., Albers, G. A. A., Bolhuis, J. E., Camerlink, I., Duijvesteijn, N., et al. (2014). The prospects of selection for social genetic effects to improve welfare and productivity in livestock. Front. Genet. 5:377. doi: 10.3389/fgene.2014.00377

PubMed Abstract | CrossRef Full Text | Google Scholar

Endler, N. S., and Parker, D. A. (1990). Multidimensional assessment of coping: a critical evaluation. J. Pers. Soc. Psychol. 58, 844–854. doi: 10.1037/0022-3514.58.5.844

CrossRef Full Text | Google Scholar

Ericsson, M., and Jensen, P. (2016). Domestication and ontogeny effects on the stress response in young chickens (Gallus gallus). Sci. Rep. 6:35818. doi: 10.1038/srep35818

PubMed Abstract | CrossRef Full Text | Google Scholar

Evans, P. D., and Fearn, J. M. (1985). Type A behaviour pattern, choice of active cooping strategy and cardiovascular activity in relation to threat of shock. Br. J. Med. Psychol. 58, 95–99. doi: 10.1111/j.2044-8341.1985.tb02620.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Everly, G. S., and Lating, J. M. (2013). “The anatomy and physiology of the human stress response,” in A Clinical Guide to the Treatment of the Human Stress Response, eds G. S. Everly and J. M. Lating (New York, NY: Springer Science + Business Media).

Google Scholar

Fallahsharoudi, A., De Kock, N., Johnsson, M., Bektic, L., Ubhayasekera, S. J. K. A., Bergquist, J., et al. (2017). Genetic and targeted eQTL mapping reveals strong candidate genes modulating the stress response during chicken domestication. G3 7, 497–504. doi: 10.1534/g3.116.037721

PubMed Abstract | CrossRef Full Text | Google Scholar

Fallahsharoudi, A., De Kock, N., Johnsson, M., Ubhayasekera, S. J. K. A., Bergquist, J., Wright, D., et al. (2015). Domestication effects on stress induced steroid secretion and adrenal gene expression in chickens. Sci. Rep. 5:15345. doi: 10.1038/srep15345

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferrari, C., Pasquaretta, C., Carere, C., Cavallone, E., Von Hardenberg, A., and Réale, D. (2013). Testing for the presence of coping styles in a wild mammal. Anim. Behav. 85, 1385–1396. doi: 10.1016/j.anbehav.2013.03.030

CrossRef Full Text | Google Scholar

Folkman, S. (1984). Personal control and stress and coping processes: a theoretical analysis. J. Pers. Soc. Psychol. 46, 839–852. doi: 10.1037/0022-3514.46.4.839

CrossRef Full Text | Google Scholar

Folkman, S., and Lazarus, R. S. (1980). An analysis of coping in a middle-aged community sample. J. Health Soc. Behav. 21, 219–239. doi: 10.2307/2136617

CrossRef Full Text | Google Scholar

Folkman, S., and Lazarus, R. S. (1988). Ways of Coping Questionnaire Web Permission Set. Test Booklet and Scoring Key. Redwood City, CA: Mind Garden.

Folkman, S., Lazarus, R. S., Gruen, R. J., and DeLongis, A. (1986). Appraisal, coping, health status, and psychological symptoms. J. Pers. Soc. Psychol. 50, 571–579. doi: 10.1037/0022-3514.50.3.571

CrossRef Full Text | Google Scholar

Frank, E., Salchner, P., Aldag, J. M., Salomé, N., Singewald, N., Landgraf, R., et al. (2006). Genetic predisposition to anxiety-related behavior determines coping style, neuroendocrine responses, and neuronal activation during social defeat. Behav. Neurosci. 120, 60–71. doi: 10.1037/0735-7044.120.1.60

PubMed Abstract | CrossRef Full Text | Google Scholar

Frankenhaeuser, M., and Lundberg, U. (1985). “Sympathetic-adrenal and pituitary-adrenal response to challenge,” in Biological Psychiatry, Higher Nervous Activity, eds P. Pichot, P. Berner, R. Wolf, and K. Thau (New York, NY: Springer), 699–704.

Google Scholar

Freud, A. (1992). The Ego and the Mechanisms of Defence. London: Karnac Books.

Google Scholar

Friedman, H. S., and Booth-Kewley, S. (1987). Personality, Type A behavior, and coronary heart disease: the role of emotional expression. J. Pers. Soc. Psychol. 53, 783–792. doi: 10.1037/0022-3514.53.4.783

CrossRef Full Text | Google Scholar

Friedman, M., and Rosenman, R. (1974). Type A Behavior and Your Heart. New York, NY: Knopf.

Google Scholar

Georgiev, A. V., Klimczuk, A. C. E., Traficonte, D. M., and Maestripieri, D. (2013). When violence pays: a cost-benefit analysis of aggressive behavior in animals and humans. Evol. Psychol. 11, 678–699. doi: 10.1177/147470491301100313

PubMed Abstract | CrossRef Full Text | Google Scholar

Gibbons, J., Lawrence, A., and Haskell, M. (2009). Responsiveness of dairy cows to human approach and novel stimuli. Appl. Anim. Behev. Sci. 116, 163–173. doi: 10.1016/j.applanim.2008.08.009

CrossRef Full Text | Google Scholar

Goldstein, D. S. (2003). Catecholamines and stress. Endocr. Regul. 37, 69–80.

Google Scholar

Hare, B., and Tomasello, M. (2005). Human-like social skills in dogs? Trends Cogn. Sci. 9, 439–444.

Google Scholar

Hare, B., Wobber, V., and Wrangham, R. (2012). The self-domestication hypothesis: evolution of bonobo psychology is due to selection against aggression. Anim. Behav. 83, 573–585. doi: 10.1016/j.anbehav.2011.12.007

CrossRef Full Text | Google Scholar

Hart, K. E. (1988). Association of type A behavior and its components to ways of coping with stress. J. Psychosom. Res. 32, 213–219. doi: 10.1016/0022-3999(88)90057-8

CrossRef Full Text | Google Scholar

Heilbrun, A. B. Jr., and Renert, D. (1986). Type A behavior, cognitive defense, and stress. Psychol. Rep. 58, 447–456. doi: 10.2466/pr0.1986.58.2.447

PubMed Abstract | CrossRef Full Text | Google Scholar

Herborn, K. A., Coffey, J., Larcombe, S. D., Alexander, L., and Arnold, K. E. (2011). Oxidative profile varies with personality in European greenfinches. J. Exp. Biol. 214, 1732–1739. doi: 10.1242/jeb.051383

PubMed Abstract | CrossRef Full Text | Google Scholar

Herd, R. M., Oddy, V. H., and Richardson, E. C. (2004). Biological basis for variation in residual feed intake in beef cattle. 1. Review of potential mechanisms. Aust. J. Exp. Agric. 44, 423–430. doi: 10.1071/EA02220

CrossRef Full Text | Google Scholar

Herskin, M. S., Kristensen, A. M., and Munksgaard, L. (2004). Behavioural responses of dairy cows toward novel stimuli presented in the home environment. Appl. Anim. Behav. Sci. 89, 27–40. doi: 10.1016/j.applanim.2004.06.006

CrossRef Full Text | Google Scholar

Hessing, M. J. C., Hagelsø, A. M., Van Beek, J. A. M., Wiepkema, R. P., Schouten, W. G. P., and Krukow, R. (1993). Individual behavioural characteristics in pigs. Appl. Anim. Behav. Sci. 37, 285–295. doi: 10.1016/0168-1591(93)90118-9

CrossRef Full Text | Google Scholar

Holl, J. W., Rohrer, G. A., and Brown-brandl, T. M. (2010). Estimates of genetic parameters among scale activity scores, growth, and fatness in pigs. J. Anim. Sci. 88, 455–459. doi: 10.2527/jas.2008-1559

PubMed Abstract | CrossRef Full Text | Google Scholar

Hopster, H. (1998). Coping Strategies in Dairy Cows. Ph.D. thesis, Wageningen Agricultural University, Wageningen.

Google Scholar

Horváth, Z., Igyártó, B. Z., Magyar, A., and Miklósi, Á. (2007). Three different coping styles in police dogs exposed to a short-term challenge. Horm. Behav. 5, 621–630. doi: 10.1016/j.yhbeh.2007.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Janczak, A. M., Pedersen, L. J., and Bakken, M. (2003). Aggression, fearfulness and coping styles in female pigs. Appl. Anim. Behav. 81, 13–28. doi: 10.1016/S0168-1591(02)00252-6

CrossRef Full Text | Google Scholar

Jenkins, J. D., Gabler, N. K., Anderson, L. L., Dekkers, J. C. M., Johnson, A. K., and Dunshea, F. (2013). Evaluation of the Responsiveness of Swine Divergently Selected for Feed Efficiency to an Exogenous Adrenocorticotropin Hormone (ACTH) Challenge. Animal Industry Report: AS 659, ASL R2814. Ames, IA: Iowa State University.

Google Scholar

Jensen, P., Keeling, L., Schütz, K., Andersson, L., Mormède, P., Brändström, H., et al. (2005). Feather pecking in chickens is genetically related to behavioural and developmental traits. Physiol. Behav. 86, 52–60. doi: 10.1016/j.physbeh.2005.06.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, J. C., and Sih, A. (2005). Precopulatory sexual cannibalism in fishing spiders (Dolomedes triton): a role for behavioral syndromes. Behav. Ecol. Sociobiol. 58, 390–396. doi: 10.1007/s00265-005-0943-5

CrossRef Full Text | Google Scholar

Jónás, I., Schubert, K. A., Reijne, A. C., Scholte, J., Garland, T. Jr., Gerkema, M. P., et al. (2010). Behavioral traits are affected by selective breeding for increased wheel-running behavior in mice. Behav. Genet. 40, 542–550. doi: 10.1007/s10519-010-9359-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, R. B., Blokhuis, H. J., and Beuving, G. (1995). Open-field and tonic immobility responses in domestic chicks of two genetic lines differing in their propensity to feather peck. Br. Poult. Sci. 36, 525–530. doi: 10.1080/00071669508417798

PubMed Abstract | CrossRef Full Text | Google Scholar

Kadarmideen, H. N., and Janss, L. G. (2007). Population and systems genetic analyses of cortisol in pigs divergently selected for stress. Physiol. Genomics 29, 57–65. doi: 10.1152/physiolgenomics.00144.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Katle, J., Bentsen, H. B., and Braastad, B. O. (1984). “Correlated traits with residual feed consumption,” in Proceedings of the 17th World Poultry Congress, Helsinki, 136–138.

Google Scholar

Kato, K., and Pedersen, N. L. (2005). Personality and coping: a study of twins reared apart and twins reared together. Behav. Genet. 35, 147–158. doi: 10.1007/s10519-004-1015-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Kenrick, D. T., and Funder, D. C. (1988). Profiting from controversy lessons from the person-situation debate. Am. Psychol. Assoc. 43, 23–34. doi: 10.1037/0003-066X.43.1.23

PubMed Abstract | CrossRef Full Text | Google Scholar

Kirkcaldy, B. D., Shephard, R. J., and Furnham, A. F. (2002). The influence of type A behaviour and locus of control upon job satisfaction and occupational health. Pers. Individ. Dif. 33, 1361–1371. doi: 10.1016/S0191-8869(02)00018-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kjaer, J. B., and Mench, J. A. (2003). “Behaviour problems associated with selection for increased production,” in Poultry Genetics, Breeding, and Biotechnology, eds W. M. Muir and S. E. Aggrey (Oxford: CABI Publishing), 67–82.

Google Scholar

Knott, S. A., Cummins, L. J., Dunshea, F. R., and Leury, B. J. (2008). Rams with poor feed efficiency are highly responsive to an exogenous adrenocorticotropin hormone (ACTH) challenge. Domest. Anim. Endocrinol. 34, 261–268. doi: 10.1016/j.domaniend.2007.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Koolhaas, J. M. (2008). Coping style and immunity in animals: making sense of individual variation. Brain Behav. Immun. 22, 662–667. doi: 10.1016/j.bbi.2007.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Koolhaas, J. M., Korte, S. M., De Boer, S. F., Van der Vegt, B. J., Van Reenen, C. G., Hopster, H., et al. (1999). Coping styles in animals: current status in behavior and stress-physiology. Neurosci. Biobehav. Rev. 23, 925–935. doi: 10.1016/S0149-7634(99)00026-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Korte, S. M., Ruesink, W., and Blokhuis, H. J. (1998). Heart rate variability during manual restraints in chicks from high- and low-feather pecking lines of laying hens. Physiol. Behav. 65, 649–652. doi: 10.1016/S0031-9384(98)00206-6

CrossRef Full Text | Google Scholar

Kortet, R., and Hedrick, A. (2007). A behavioural syndrome in the field cricket Gryllus integer: intrasexual aggression is correlated with activity in a novel environment. Biol. J. Linn. Soc. 91, 475–482. doi: 10.1111/j.1095-8312.2007.00812.x

CrossRef Full Text | Google Scholar

Künzl, C., and Sachser, N. (1999). The behavioral endocrinology of domestication: a comparison between the domestic guinea pig (Cavia aperea f. porcellus) and its wild ancestor, the cavy (Cavia aperea). Horm. Behav. 35, 28–37. doi: 10.1006/hbeh.1998.1493

PubMed Abstract | CrossRef Full Text

Lazarus, R. S. (1993a). Coping theory and research: past, present, and future. Psychosom. Med. 55, 234–247. doi: 10.1097/00006842-199305000-00002

CrossRef Full Text | Google Scholar

Lazarus, R. S. (1993b). From psychological stress to the emotions: a history of changing outlooks. Annu. Rev. Psychol. 44, 1–21. doi: 10.1146/annurev.ps.44.020193.000245

PubMed Abstract | CrossRef Full Text | Google Scholar

Lonergan, S. M., Huff-Lonergan, E., Rowe, L. J., Kuhlers, D. L., and Jungst, S. B. (2001). Selection for lean growth efficiency in Duroc pigs influences pork quality. J. Anim. Sci. 79, 2075–2085. doi: 10.2527/2001.7982075x

PubMed Abstract | CrossRef Full Text | Google Scholar

Luiting, P., Decuypere, E., De Groot, P. N., Buyse, J., and Broom, G. (1994). “Selection for feed efficiency and consequences for stress susceptibility,” in Proceedings of the 45th Annual Meeting European Association for Animal Production, Edinburgh.

Google Scholar

Luiting, P., Schrama, J. W., Van der Hel, W., and Urff, E. M. (1991). Metabolic differences between White Leghorns selected for high and low residual feed consumption. Br. Poult. Sci. 32, 763–782. doi: 10.1080/00071669108417402

PubMed Abstract | CrossRef Full Text | Google Scholar

MacKay, J. R. D., and Haskell, M. J. (2015). Consistent individual behavioral variation: the difference between temperament, personality and behavioral syndromes. Animals 5, 455–478. doi: 10.3390/ani5030366

PubMed Abstract | CrossRef Full Text | Google Scholar

MacKay, J. R. D., Turner, S. P., Hyslop, J., Deag, J. M., and Haskell, M. J. (2013). Short-term temperament test in beef cattle relate to long-term measures of behavior recorded in the home pen. J. Anim. Sci. 91, 4917–4924. doi: 10.2527/jas.2012-5473

PubMed Abstract | CrossRef Full Text | Google Scholar

Malmkvist, J., and Hansen, S. W. (2002). Generalization of fear in farm mink, Mustela vison, genetically selected for behaviour towards humans. Anim. Behav. 64, 487–501. doi: 10.1006/anbe.2002.3058

CrossRef Full Text | Google Scholar

Marsteller, F. A., Siegel, P. B., and Gross, W. B. (1980). Agonistic behavior, the development of the social hierarchy and stress in genetically diverse flocks of chickens. Behav. Process. 5, 339–354. doi: 10.1016/0376-6357(80)90017-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Matteri, R. L., Carroll, J. A., and Dyer, C. J. (2000). “Neuroendocrine responses to stress,” in The Biology of Animal Stress. Basic Principles and Implications for Animal Welfare, eds G. P. Moberg and J. A. Mench (Wallingford: CAB International), 43–76. doi: 10.1079/9780851993591.0043

CrossRef Full Text | Google Scholar

Matthews, K. A. (1982). Psychological perspectives on the Type A behavior pattern. Psychol. Bull. 91, 293–323. doi: 10.1037/0033-2909.91.2.293

CrossRef Full Text | Google Scholar

Meunier-Salaün, M. C., Guérin, C., Billon, Y., Sellier, P., Noblet, J., and Gilbert, H. (2014). Divergent selection for residual feed intake in group-housed growing pigs: characteristics of physical and behavioural activity according to line and sex. Animal 8, 1898–1906. doi: 10.1017/S1751731114001839

PubMed Abstract | CrossRef Full Text | Google Scholar

Moberg, G. P. (2000). “Biological response to stress: implications for animal welfare,” in The Biology of Animal Stress, eds G. P. Moberg and J. A. Mench (Wallingford: CABI Publishing), 1–22.

Google Scholar

Montiglio, P. O., Garant, D., Pelletier, F., and Réale, D. (2012). Personality differences are related to long-term stress reactivity in a population of wild eastern chipmunks, Tamias striatus. Anim. Behav. 84, 1071–1079. doi: 10.1016/j.anbehav.2012.08.010

CrossRef Full Text | Google Scholar

Mormède, P., Foury, A., Terenina, E., and Knap, P. W. (2010). Breeding for robustness: the role of cortisol. Animal 5, 651–657. doi: 10.1017/S1751731110002168

PubMed Abstract | CrossRef Full Text | Google Scholar

Morrison, W. D., and Leeson, S. (1978). Relationship of feed efficiency to carcass composition and metabolic rate in laying birds. Poult. Sci. 57, 735–739. doi: 10.3382/ps.0570735

CrossRef Full Text | Google Scholar

Morrow-Tesch, J. L., McGlone, J. J., and Salak-Johnson, J. L. (1994). Heat and social stress effects on pig immune measures. J. Anim. Sci. 72, 2599–2609. doi: 10.2527/1994.72102599x

CrossRef Full Text | Google Scholar

Muir, W. (2003). “Indirect selection for improvement of animal well-being,” in Poultry Genetics, Breeding, and Biotechnology, eds W. M. Muir and S. E. Aggrey (Oxford: CABI Publishing), 67–82.

Google Scholar

Müller, G., and Von Keyserlingk, A. G. (2006). Consistency of flight speed and its correlation to productivity and to personality in Bos taurus beef cattle. Appl. Anim. Behav. Sci. 99, 193–204. doi: 10.1016/j.applanim.2005.05.012

CrossRef Full Text | Google Scholar

Myles-Gonzales, E., Burness, G., Yavno, S., Rooke, A., and Fox, M. G. (2015). To boldly go where no goby has gone before: boldness, dispersal tendency, and metabolism at the invasion front. Behav. Ecol. 26, 1083–1090. doi: 10.1093/beheco/arv050

CrossRef Full Text | Google Scholar

Natoli, E., Say, L., Cafazzo, S., Bonanni, R., Schmid, M., and Pontier, D. (2005). Bold attitude makes male urban feral domestic cats more vulnerable to feline immunodeficiency virus. Neurosci. Biobehav. Rev. 29, 151–157. doi: 10.1016/j.neubiorev.2004.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Neat, F. C., Taylor, A. C., and Huntingford, F. A. (1998). Proximate costs of fighting in male cichlid fish: the role of injuries and energy metabolism. Anim. Behav. 55, 875–882. doi: 10.1006/anbe.1997.0668

PubMed Abstract | CrossRef Full Text | Google Scholar

Øverli,Ø., Korzan, W. J., Höglund, E., Winberg, S., Bollig, H., Watt, M., et al. (2004). Stress coping style predicts aggression and social dominance in rainbow trout. Horm. Behav. 45, 235–241. doi: 10.1016/j.yhbeh.2003.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Pajor, E. A., Busse, C., Torrey, S., Shea-Moore, M., and Steward, T. (2000). The Effect of Selection for Lean Growth on Swine Behavior and Welfare. Available at: https://pdfs.semanticscholar.org/b7f4/2237e3936f7e50f5d47085f256dc14091983.pdf

Google Scholar

Parker, D. A., and Endler, N. S. (1992). Coping with coping assessment: a critical review. Eur. J. Pers. 6, 321–344. doi: 10.1002/per.2410060502

CrossRef Full Text | Google Scholar

Penley, J. A., and Tomaka, J. (2002). Associations among the Big Five, emotional responses, and coping with acute stress. Pers. Individ. Dif. 32, 1215–1228. doi: 10.1016/S0191-8869(01)00087-3

CrossRef Full Text | Google Scholar

Popova, N. K., Kulikov, A. V., Nikulina, E. M., Kozlachkova, E. Y., and Maslova, G. B. (1991a). Serotonin metabolism and serotonergic receptors in Norway rats selected for low aggressiveness to man. Aggress. Behav. 17, 207–213. doi: 10.1002/1098-2337 (1991)17:4<207::AID-AB2480170403>3.0.CO;2-2

CrossRef Full Text | Google Scholar

Popova, N. K., Voitenko, N. N., Kulikov, A. V., and Avgustinovich, D. F. (1991b). Evidence for the involvement of central serotonin in mechanisms of domestication of silver foxes. Pharm. Biochem. Behav. 40, 751–756.

Google Scholar

Price, E. O. (1999). Behavioral development in animals undergoing domestication. Appl. Anim. Behav. Sci. 65, 245–271. doi: 10.1016/S0168-1591(99)00087-8

CrossRef Full Text | Google Scholar

Puglisi-Allegra, S., and Andolina, D. (2015). Serotonin and stress coping. Behav. Brain Res. 277, 58–67. doi: 10.1016/j.bbr.2014.07.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Råberg, L., Grahn, M., Hasselquist, D., and Svensson, E. (1998). On the adaptive significance of stress-induced immunosuppression. Proc. R. Soc. Lond. B Biol. Sci. 265, 1637–1641. doi: 10.1098/rspb.1998.0482

PubMed Abstract | CrossRef Full Text | Google Scholar

Rauw, W. M. (2012). “Feed efficiency and animal robustness,” in Feed Efficiency in the Beef Industry, ed. R. A. Hill (New York, NY: John Wily & Sons, Inc.), 105–122.

Google Scholar

Rauw, W. M., and Gomez Raya, L. (2015). Genotype by environment interaction and breeding for robustness in livestock. Front. Genet. 6:310. doi: 10.3389/fgene.2015.00310

CrossRef Full Text | Google Scholar

Rauw, W. M., and Gomez Raya, L. (2017). “Effects of stress on growth and development. From domestication to factory farming,” in Biology of Domestic Animals, eds C. G. Scanes and R. A. Hill (New York, NY: CRC Press).

Réale, D., Garant, D., Humphries, M. M., Bergeron, P., Careau, V., and Montiglio, P. O. (2010). Personality and the emergence of the pace-of-life syndrome concept at the population level. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 4051–4063. doi: 10.1098/rstb.2010.0208

PubMed Abstract | CrossRef Full Text | Google Scholar

Richardson, E. C., and Herd, R. (2004). Biological basis for variation in residual feed intake in beef cattle. 2. Synthesis of results following divergent selection. Aust. J. Exp. Agric. 44, 431–440. doi: 10.1071/EA02221

CrossRef Full Text | Google Scholar

Rödel, H. G., and Monclús, R. (2011). Long-term consequences of early development on personality traits: a study in European rabbits. Behav. Ecol. 22, 1123–1130. doi: 10.1093/beheco/arr100

CrossRef Full Text | Google Scholar

Roff, D. A. (2007). Contributions of genomics to life-history theory. Nat. Rev. Genet. 8, 116–125. doi: 10.1038/nrg2040

PubMed Abstract | CrossRef Full Text | Google Scholar

Romero, L. M., Dickens, M. J., and Cyr, N. E. (2009). The reactive scope model—a new model integrating homeostasis, allostasis, and stress. Horm. Behav. 55, 375–389. doi: 10.1016/j.yhbeh.2008.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Roth, S., and Cohen, L. J. (1986). Approach, avoidance, and coping with stress. Am. Psychol. 41, 813–819. doi: 10.1037/0003-066X.41.7.813

CrossRef Full Text | Google Scholar

Ruis, M. A. W., Te Brake, J. H. A., Van de Burgwal, J. A., De Jong, I. C., Blokhuis, H. J., and Koolhaas, J. M. (2000). Personalities in female domesticated pigs: behavioural and physiological indications. Appl. Anim. Behav. Sci. 66, 31–47. doi: 10.1016/S0168-1591(99)00070-2

CrossRef Full Text | Google Scholar

Sadler, L. J., Johnson, A. K., Lonergan, S. M., Nettleton, D., and Dekkers, J. C. M. (2014). The effect of selection for residual feed intake on general behavioral activity and the occurrence of lesions in Yorkshire gilts. J. Anim. Sci. 89, 258–266. doi: 10.2527/jas.2009-2595

PubMed Abstract | CrossRef Full Text | Google Scholar

Sautron, V., Terenina, E., Gress, L., Lippi, Y., Billon, Y., Larzul, C., et al. (2015). Time course of the response to ACTH in pig: biological and transcriptomic study. BMC Genomics 16:961. doi: 10.1186/s12864-015-2118-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Scheier, M. F., Weintraub, J. K., and Carver, C. S. (1986). Coping with stress: divergent strategies of optimists and pessimists. J. Pers. Soc. Psychol. 51, 1257–1264. doi: 10.1037/0022-3514.51.6.1257

PubMed Abstract | CrossRef Full Text | Google Scholar

Schluter, D., Price, T. D., and Rowe, L. (1991). Conflicting selection pressures and life-history trade-offs. Proc. Biol. Sci. 246, 11–17. doi: 10.1098/rspb.1991.0118

CrossRef Full Text | Google Scholar

Schütz, K. E., and Jensen, P. (2001). Effects of resource allocation on behavioural strategies: a comparison of Red Junglefowl (Gallus gallus) and two domesticated breeds of poultry. Ethology 107, 753–765. doi: 10.1046/j.1439-0310.2001.00703.x

CrossRef Full Text | Google Scholar

Sih, A., Bell, A., and Johnson, J. C. (2004). Behavioral syndromes: an ecological and evolutionary overview. Tends Ecol. Evol. 19, 372–378. doi: 10.1016/j.tree.2004.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Sluyter, F., Bult, A., Lynch, C. B., Van Oortmerssen, G. A., and Koolhaas, J. M. (1995). A comparison between house mouse lines selected for attack latency or nest-building: evidence for a genetic basis of alternative behavioral strategies. Behav. Genet. 25, 247–252. doi: 10.1007/BF02197183

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, B. R., and Blumstein, D. T. (2008). Fitness consequences of personality: a meta-analysis. Behav. Ecol. 19, 448–455. doi: 10.1098/rstb.2012.0214

PubMed Abstract | CrossRef Full Text | Google Scholar

Speisman, J. C., Lazarus, R. S., Mordkoff, A., and Davison, L. (1964). Experimental reduction of stress based on ego-defense theory. J. Abnorm. Soc. Psychol. 4, 367–380. doi: 10.1037/h0048936

PubMed Abstract | CrossRef Full Text | Google Scholar

Suls, J., and David, J. P. (1996). Personality and coping: three generations of research. J. Pers. 64, 711–735. doi: 10.1111/j.1467-6494.1996.tb00942.x

CrossRef Full Text | Google Scholar

Trut, L. N., Oskina, I., and Kharlamova, A. (2009). Animal evolution during domestication: the domesticated fox as a model. Bioessays 31, 349–360. doi: 10.1002/bies.200800070

PubMed Abstract | CrossRef Full Text | Google Scholar

Tucker, V. A. (1970). Energetic cost of locomotion in animals. Comp. Biochem. Physiol. 34, 841–846. doi: 10.1016/0010-406X(70)91006-6

CrossRef Full Text | Google Scholar

Van Oers, K., De Jong, G., Van Noordwijk, A. J., Kempenaers, B., and Drent, P. J. (2005). Contribution of genetics to the study of animal personalities: a review of case studies. Behaviour 142, 1191–1212. doi: 10.1163/156853905774539364

CrossRef Full Text | Google Scholar

Van Reenen, C. G., O’Connell, N. E., Van der Werf, J. T. N., Korte, S. M., Hopster, H., Jones, R. B., et al. (2005). Responses of calves to acute stress: individual consistency and relations between behavioral and physiological measures. Physiol. Behav. 85, 557–570. doi: 10.1016/j.physbeh.2005.06.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Videlex, J. J., and Nolet, B. A. (1990). Costs of swimming measured at optimum speed: scale effects, differences between swimming styles, taxonomic groups and submerged and surface swimming. Comp. Biochem. Physiol. A 91, 91–99. doi: 10.1016/0300-9629(90)90155-L

PubMed Abstract | CrossRef Full Text | Google Scholar

Voisinet, B. D., Grandin, T., Tatum, J. D., O’Connor, S. F., and Struthers, J. J. (1997). Feedlot cattle with calm temperaments have higher average daily gains than cattle with excitable temperaments. J. Anim. Sci. 75, 892–896. doi: 10.2527/1997.754892x

PubMed Abstract | CrossRef Full Text | Google Scholar

Vøllestad, L. A., and Quinn, T. (2003). Trade-off between growth rate and aggression in juvenile coho salmon, Oncorhynchus kisutch. Anim. Behav. 66, 561–568. doi: 10.1006/anbe.2003.2237

CrossRef Full Text | Google Scholar

Wade, M. J., Bijma, P., Ellen, E. D., and Muir, W. (2010). Group selection and social evolution in domesticated animals. Evol. Appl. 3, 453–465. doi: 10.1111/j.1752-4571.2010.00147.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wechsler, B. (1995). Coping and coping strategies: a behavioural view. Appl. Anim. Behav. Sci. 43, 123–134. doi: 10.1016/0168-1591(95)00557-9

CrossRef Full Text | Google Scholar

Wesley, R. L., Cibils, A. F., Mulliniks, J. T., Pollak, E. R., Petersen, M. K., and Fredrickson, E. L. (2012). An assessment of behavioural syndromes in rangeland-raised beef cattle. Appl. Anim. Behav. Sci. 139, 183–194. doi: 10.1016/j.applanim.2012.04.005

CrossRef Full Text | Google Scholar

Wilkins, A. S., Wrangham, R. W., and Fitch, W. T. (2014). The “domestication syndrome” in mammals: a unified explanation based on neural crest cell behavior and genetics. Genetics 197, 795–808. doi: 10.1534/genetics.114.165423

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, M., Van Doorn, G. S., Leimar, O., and Weissing, F. J. (2007). Life-history trade-offs favour the evolution of animal personalities. Nature 447, 581–584. doi: 10.1038/nature05835

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, M., and Weissing, F. J. (2012). Animal personalities: consequences for ecology and evolution. Trends Ecol. Evol. 27, 452–461. doi: 10.1016/j.tree.2012.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeder, M. A. (2012). “Pathways to animal domestication,” in Biodiversity in Agriculture: Domestication, Evolution, and Sustainability, eds P. Gepts, T. R. Famula, R. L. Bettinger, S. B. Brush, A. B. Damania, P. E. McGuire, et al. (Cambridge: Cambridge University Press), 227–259.

Google Scholar

Zentall, T. R. (2013). Animals represent the past and the future. Evol. Psychol. 11, 573–590. doi: 10.1177/147470491301100307

CrossRef Full Text | Google Scholar

Zipser, B., Schleking, A., and Kaiser, S. (2014). Effects of domestication on biobehavioural profiles: a comparison of domestic guinea pigs and wild cavies from early to late adolescence. Front. Zool. 11:30. doi: 10.1186/1742-9994-11-30

PubMed Abstract | CrossRef Full Text | Google Scholar

Zozulya, A. A., Gabaeva, M. V., Sokolov, O. Y., Surkina, I. D., and Kost, N. V. (2008). Personality, coping style, and constitutional neuroimmunology. J. Immunotoxicol. 5, 221–225. doi: 10.1080/15476910802131444

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: coping styles, domestication, feed efficiency, genetic selection, life-history theory, resource allocation

Citation: Rauw WM, Johnson AK, Gomez-Raya L and Dekkers JCM (2017) A Hypothesis and Review of the Relationship between Selection for Improved Production Efficiency, Coping Behavior, and Domestication. Front. Genet. 8:134. doi: 10.3389/fgene.2017.00134

Received: 28 April 2017; Accepted: 12 September 2017;
Published: 28 September 2017.

Edited by:

Peter Dovc, University of Ljubljana, Slovenia

Reviewed by:

Allan Schinckel, Purdue University, United States
Fabyano Fonseca Silva, Universidade Federal de Viçosa, Brazil

Copyright © 2017 Rauw, Johnson, Gomez-Raya and Dekkers. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wendy M. Rauw, cmF1dy53ZW5keUBpbmlhLmVz

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