- 1Department of Biology, University of Antwerp, Antwerp, Belgium
- 2School of Life Sciences, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
A commentary on
Oxidative stress as a cost of reproduction: beyond the simplistic trade-off model
by Speakman, J. R., and Garratt, M. (2014). Bioessays 36, 93–106. doi: 10.1002/bies.201300108
Current theory proposes that life history traits cannot be simultaneously maximized because there are costs paid in the currency of fitness when a change in one trait, for example increased reproduction, results in a detrimental change in another, for example decreased survival. The underlying reasoning is that resources (e.g., nutrients, energy, time) are finite and this gives rise to trade-offs in their allocation among traits, activities, or processes that compete for the same resource. Therefore, allocation of a resource to one trait means that less can be invested to other traits. This simple concept, referred to as a trade-off, has had a prominent role in our understanding of how life history variation arises.
We currently know very little about how these costs of reproduction are actually incurred, since the majority of studies have focussed on the outcomes rather than the mechanisms. In the last decade, there has been substantial interest in the role of oxidative stress as a mechanism underlying the cost of reproduction and other life-history trade-offs. Oxidative stress is a complex multifaceted biochemical condition of the organism that occurs when generation of oxidative molecular damage increases (Costantini, 2008, 2014; Metcalfe and Alonso-Alvarez, 2010; Isaksson et al., 2011). Several recent studies have, however, found weak or no support that reproductive effort increases oxidative damage (Costantini, 2014). In a recent article, Metcalfe and Monaghan (2013) have pointed out that several of these studies testing the role of oxidative stress as a cost of reproduction did not include data on non-breeding controls, making it hard to exclude seasonal or ontogenetic causes of changes in oxidative stress. They also highlighted, however, that females may tailor their own level of reproduction to avoid oxidative damage, hence it would be also important to manipulate the reproductive effort. In another article, Speakman and Garratt (2014) reinforced the idea of testing the oxidative cost of reproduction by randomly assigning animals to two groups, one of which is forced to reproduce and another one that is prevented from doing so. This is because even if individuals can choose their level of reproduction, what they cannot avoid, is an increase in metabolic rate, relative to a non-reproductive control animal. Recent experimental (Costantini et al., 2014) and meta-analytic (Blount et al., 2015) work has, however, found that oxidative damage is lower in reproducing than in non-reproducing individuals, providing again little support for the oxidative cost of reproduction hypothesis.
An important question then is whether non-reproducing individuals are truly appropriate controls. The answer does not seem to be so straightforward. Non-reproducing individuals may differ from reproducing individuals in several characteristics, which might make them incomparable. Many animal species exhibit seasonal changes in life-history stages, and some of these life-history transitions, such as that from a non-reproductive to a reproductive status, are accompanied by dramatic changes in hormonal profile and behavior (Norris and Lopez, 2011). To mention a few examples, the diet composition of non-reproducing Wilson's storm petrels (Oceanites oceanicus) significantly differed from that of reproducing individuals (Quillfeldt, 2002). Glucocorticoid concentration was found to be lower (Riou et al., 2010; Selva et al., 2011; Novikov et al., 2015) or higher (Fischer et al., 1995) in reproducing than in non-reproducing individuals. Factors like diet and glucocorticoids have been shown to influence the regulation of the oxidative balance. For example, depending on the amount and exposure time, glucocorticoids can either decrease or boost antioxidant defenses with consequences for the generation of oxidative damage that might not be easy to predict (Costantini, 2014). These findings imply that any differences in oxidative status between reproducing and non-reproducing individuals (e.g., due to different metabolic rate) might be strengthened/offset/masked by differences in these other traits. Although some of the factors (e.g., diet quality) may be controlled to some extent in captivity experiments, other important issues may arise. For example, granivorous songbird individuals may select seeds richer in antioxidants when facing challenging conditions (Beaulieu et al., 2014). Moreover, it is often forgotten that preventing individuals from reproducing is not a natural condition nor is it a free choice of the individual. These protocols that do not allow animals to breed ignore the lessons learned from earlier studies on animal behavior and welfare showing that animals may undergo measurable detrimental physiological changes when they are prevented from carrying out particular kinds of behaviors, including social interactions with a mate and generation of offspring (Palmer, 2010).
Finally, some of these potential issues might be exacerbated in field experiments, where the oxidative status of non-reproducing individuals is compared to that of reproducing individuals. In cooperative breeders, a comparison of oxidative status between breeders and non-breeders appears to be appropriate because it is known that there are individuals that do not actively reproduce but help in providing care to offspring of other individuals. In other species, however, the reason of why an individual is not reproducing is often unknown and standardization is hard to achieve. For example, in many seabirds, sabbatical intermittent non-breeding years (the so called “sabbatical years”) are common. It is thought that birds skip reproduction (and so take sabbaticals) when they are in poor condition, hence the costs of reproduction would be too high to sustain (Giudici et al., 2010). Hence, it might happen that oxidative stress is higher in non-reproducing than in reproducing individuals. An experimenter would interpret this result as evidence against the oxidative cost of reproduction. An alternative and more plausible interpretation would be that non-reproducing individuals suffer higher oxidative stress because they are in poor health.
In conclusion, as pointed out by Metcalfe and Monaghan (2013) and Speakman and Garratt (2014), it is certainly interesting to compare oxidative status metrics between non-reproducing and reproducing individuals because this comparison would enable to assess how the individual oxidative status changes through the transition from a non-reproductive to a reproductive status. However, there may be a number of potential caveats in the use of non-reproducing individuals as controls to infer about the oxidative cost of reproduction that, if not being carefully considered, might lead to erroneous interpretations and conclusions. We should recognize that natural selection does not favor individuals that do not reproduce. Hence, individuals that choose their own level of reproduction appear to be more appropriate controls in experimental investigations of the oxidative cost of reproduction hypothesis. Finally, we should not forget that prior work looked at the short-term changes in oxidative status, while looking at seasonal dynamics of oxidative balance and how this relates to reproduction appears a better approach to assess whether oxidative stress is one cost of reproduction.
Author Contributions
The author confirms being the sole contributor of this work and approved it for publication.
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
Research Foundation of Flanders (grant no. 12A7714N) has supported this work.
References
Beaulieu, M., Haas, A., and Schaefer, H. M. (2014). Self-supplementation and effects of dietary antioxidants during acute thermal stress. J. Exp. Biol. 217, 370–375. doi: 10.1242/jeb.092825
Blount, J. D., Vitikainen, E. I. K., Stottm, I., and Cant, M. A. (2015). Oxidative shielding and the cost of reproduction. Biol. Rev. doi: 10.1111/brv.12179. [Epub ahead of print].
Costantini, D. (2008). Oxidative stress in ecology and evolution: lessons from avian studies. Ecol. Lett. 11, 1238–1251. doi: 10.1111/j.1461-0248.2008.01246.x
Costantini, D. (2014). Oxidative Stress and Hormesis in Evolutionary Ecology and Physiology: a Marriage between Mechanistic and Evolutionary Approaches. Berlin; Heidelberg: Springer-Verlag.
Costantini, D., Casasole, G., and Eens, M. (2014). Does reproduction protect against oxidative stress? J. Exp. Biol. 217, 4237–4243. doi: 10.1242/jeb.114116
Fischer, D., Patchev, V. K., Hellbach, S., Hassan, A. H., and Almeida, O. F. (1995). Lactation as a model for naturally reversible hypercorticalism plasticity in the mechanisms governing hypothalamo-pituitary- adrenocortical activity in rats. J. Clin. Invest. 96, 1208–1215. doi: 10.1172/JCI118153
Giudici, A., Navarro, J., Juste, C., and González-Solís, J. (2010). Physiological ecology of breeders and sabbaticals in a pelagic seabird. J. Exp. Mar. Biol. Ecol. 389, 13–17. doi: 10.1016/j.jembe.2010.04.002
Isaksson, C., Sheldon, B. C., and Uller, T. (2011). The challenges of integrating oxidative stress into life-history biology. Bioscience 61, 194–202. doi: 10.1525/bio.2011.61.3.5
Metcalfe, N. B., and Alonso-Alvarez, C. (2010). Oxidative stress as a life- history constraint: the role of reactive oxygen species (ROS) in shaping phenotypes from conception to death. Funct. Ecol. 24, 984–996. doi: 10.1111/j.1365-2435.2010.01750.x
Metcalfe, N. B., and Monaghan, P. (2013). Does reproduction cause oxidative stress? An open question. Trends Ecol. Evol. 28, 347–350. doi: 10.1016/j.tree.2013.01.015
Novikov, E., Kondratyuk, E., Petrovski, D., Titova, T., Zadubrovskaya, I., Zadubrovskiy, P., et al. (2015). Reproduction, aging and mortality rate in social subterranean mole voles (Ellobius talpinus Pall.). Biogerontology 16, 723–732. doi: 10.1007/s10522-015-9592-x
Quillfeldt, P. (2002). Seasonal and annual variation in the diet of breeding and non-breeding Wilson's storm-petrels on King George Island, South Shetland Islands. Pol. Biol. 25, 216–221. doi: 10.1007/s00300-001-0332-0
Riou, S., Chastel, O., Lacroix, A., and Hamer, K. C. (2010). Stress and parental care: prolactin responses to acute stress throughout the breeding cycle in a long-lived bird. Gen. Comp. Endocrinol. 168, 8–13. doi: 10.1016/j.ygcen.2010.03.011
Selva, N., Cortés-Avizanda, A., Lemus, J. A., Blanco, G., Mueller, T., Heinrich, B., et al. (2011). Stress associated with group living in a long-lived bird. Biol. Lett. 7, 608–610. doi: 10.1098/rsbl.2010.1204
Keywords: ecology, evolution, reproduction, life-history, trade-off
Citation: Costantini D (2016) Commentary: Oxidative stress as a cost of reproduction: beyond the simplistic trade-off model. Front. Ecol. Evol. 4:10. doi: 10.3389/fevo.2016.00010
Received: 17 November 2015; Accepted: 01 February 2016;
Published: 16 February 2016.
Edited by:
Carlos Alonso Alvarez, Consejo Superior de Investigaciones Científicas, SpainReviewed by:
John Roger Speakman, Chinese Academy of Sciences, ChinaFrançois Criscuolo, Centre National de la Recherche Scientifique, France
Copyright © 2016 Costantini. 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: David Costantini, ZGF2aWRjb3N0YW50aW5pQGxpYmVyby5pdA==