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MINI REVIEW article

Front. Plant Sci., 23 September 2022
Sec. Plant Symbiotic Interactions
This article is part of the Research Topic Plant Microbiome: Ecology, Functions, and Application Trends View all 5 articles

Root phenotypes as modulators of microbial microhabitats

  • Department of Plant Science and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States

Plant roots are colonized by a multitude of microbial taxa that dynamically influence plant health. Plant-microbe interactions at the root-soil interface occur at the micro-scale and are affected by variation in root phenotypes. Different root phenotypes can have distinct impacts on physical and chemical gradients at the root-soil interface, leading to heterogeneous microhabitats for microbial colonization. Microbes that influence plant physiology will establish across these heterogeneous microhabitats, and, therefore, exploiting variation in root phenotypes can allow for targeted manipulation of plant-associated microbes. In this mini-review, we discuss how changes in root anatomy and architecture can influence resource availability and the spatial configuration of microbial microhabitats. We then propose research priorities that integrate root phenotypes and microbial microhabitats for advancing the manipulation of root-associated microbiomes. We foresee the yet-unexplored potential to harness diverse root phenotypes as a new level of precision in microbiome management in plant-root systems.

Introduction

Plant health is strongly influenced by microorganisms that live within or near plant tissues (Badri et al., 2013; Dini-Andreote, 2020; Fu et al., 2020). Many of these microbial modulators of plant health inhabit the rhizosphere – the narrow zone of soil adjacent to plant roots (Hiltner, 1904). The active manipulation of the rhizosphere microbiome can promote beneficial plant-microbe interactions to enhance agricultural sustainability, crop resilience, and yield (Trivedi et al., 2017). This could be achieved by altering abiotic conditions in the rhizosphere to direct the assembly and functioning of beneficial microbial groups. However, given the microscopic scale at which plant-microbe interactions take place, augmenting microhabitats via field-scale approaches (e.g., soil physical management and/or nutrient manipulation) can be a coarse approach for processes that operate on a much finer scale. Nevertheless, manipulating the soil environment at a scale meaningful to microbes is possible by focusing on root-soil interactions and the chemical gradients they create in the rhizosphere. Such gradients are formed via root exudates and sloughed-off cells, immobilization and mobilization of nutrients, and physical disruption of aggregates as roots grow through the soil matrix (for an in-depth review on rhizosphere gradients, please see Benard et al., 2019; Liu et al., 2022; and Stassen et al., 2021). These gradients are arise from complex interactions between the plant’s metabolism, root phenotypes, and soil characteristics – including the microbiome (Yan et al., 2004).

Root phenotypes are constituted of distinct phenes – i.e., traits under the plant genetic control (e.g., number of root cortical aerenchyma, or rooting angle) – that aggregate to form an overall phenotype (e.g., a steep, deep, and cheap root phenotype; York et al., 2013). As these vary across plant species and genotypes, and result in different conditions in the rhizosphere, root phenotypes can be targeted as subjects of breeding efforts to modulate microhabitats; however, plant breeding may have already ‘unintentionally’ selected diverse root phenes that influence microbial microhabitats (Lynch, 2019). For instance, barley cultivars with more root hairs resulted in reduced root-induced compaction in the rhizosphere (Koebernick et al., 2018). Therefore, explicitly considering the impact of specific phenes as modulators of microbial microhabitats can broaden our perspective on microbiome assembly and targeted management. This could attain outcomes not yet achievable by either a microbe-centric (e.g., microbial inoculation) or plant-centric (e.g., root nutrient acquisition without microbes) standpoints. To advance research efforts on this theme, here we discuss how root phenes and their combinations resulting in various root phenotypes affect the abiotic rhizosphere environment with consequences for microbiome assembly and functioning. Particularly, we explore variations in anatomical and architectural root traits that directly influence microhabitats in the rhizosphere. For example, via alterations in nutrient availability, or the extent and distribution of microhabitats through the soil matrix. Lastly, we provide a perspective on efforts that can facilitate the integration of root phenomics and microbial ecology, with the potential to produce a new level of precision in microbiome manipulation in the plant rhizosphere.

Root architecture

Root architecture determines the spatial and temporal organization of root tissues through the soil matrix. The combination of phenes that give rise to a root architectural phenotype includes traits affecting root length, branching, angle, and the growth rate of both axial and lateral roots (York et al., 2013). As nutrients and water availability are not evenly distributed throughout the soil profile, root architecture influences the ability of plants to exploit these resources, with implications for plant health, status, and performance (Lynch, 2019). Root architecture also indirectly influences water and nutrient availability in microbial microhabitats (Jobbágy and Jackson, 2001; Nunes et al., 2020), with implications for microbiome assembly (Hartman and Tringe, 2019). In this section, we discuss aspects of root architecture based on root spatial distribution, as less is known about plant root temporal dynamics and their influence on the rhizosphere microbiome (Fierer et al., 2010); even though studies of rhizosphere dynamics through plant developmental stages, can represent indirect assessments of root temporal dynamics (Edwards et al., 2018; Dibner et al., 2021; Xiong et al., 2021).

Rooting depth

Plant root depth is mostly determined by the angle and length of roots (Ramalingam et al., 2017), both of which can be affected by host genetics and plant-microbe interactions (e.g., via auxin production; Myo et al., 2019). Rooting depth has the potential to affect nutrient availability to microbes and thus their fitness (Pekkonen et al., 2013; Turlure et al., 2019) as varying root depths promote access to specific resource pools distributed across distinct soil horizons (Figure 1). For instance, less mobile soil resources such as phosphorous (P) and particulate organic matter are generally at greater concentrations at the top soil horizons, while nitrogen, sulfur, and sodium can easily move through the soil profile and accumulate at deep soil horizons (Jobbágy and Jackson, 2001; Nunes et al., 2020). This spatial distribution of resources also leads to a vertical stratification of microbiomes, with distinct taxonomic compositions and functional capabilities (Jiao et al., 2018). For example, P-solubilizing bacteria have been found to be significantly more abundant at shallower soil depths, where P tends to accumulate (Pastore et al., 2020). Therefore, by selecting phenes that create shallow rooting phenotypes, roots are in proximity to higher mineral P (Sun et al., 2018) and greater abundances of P-solubilizing bacterial taxa (Paul et al., 2018). Conversely, given the vertical distribution of soil taxa, deeper rooting plants can also be in association with different bacterial taxa. For example, members within the candidate phyla Dormibacteraeota have been shown to hold adaptations for surviving in deep soil horizons, including distinct metabolisms for carbohydrate storage, spore formation, and carbon monoxide oxidation (Brewer et al., 2019). As such, it is possible to speculate that exposure of plants to different microbial taxa in soil can result in variable effects on plant physiology and performance.

FIGURE 1
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Figure 1 (A) Differences in root architecture based on the spatial distribution of roots through the soil profile and the differential distribution of microbial taxa and resources in the rhizosphere with increasing soil depth. (B) Variation in root branching and its influence on mediating the establishment and distribution of microhabitats in the rhizosphere.

Deep rooting phenotypes can also indirectly influence water availability in the rhizosphere in arid environments, where water tends to become available in deeper soil layers (Broedel and Tomasella, 2017). Thus, allowing certain microbes to establish in the rhizosphere where water limitation may otherwise inhibit their persistence. This is particularly relevant because most soil microbes respond strongly to soil moisture variations (Neilson et al., 2017; De Vries et al., 2020). Water is necessary to microbes as a solvent for intracellular biochemical reactions, and its presence affects the mobility and access to nutrients (e.g., nitrogen, potassium, phosphorous), in addition to oxygen needed for aerobic growth (Tan et al., 2021). Furthermore, microbial cells are often in an osmotic balance with their immediate surroundings via the accumulation of compatible solutes/osmoprotectants (e.g., betaines) to maintain water potential in their favor under drier conditions, which incurs metabolic costs to the cell (Schimel, 2018).

Variation in rooting depth has the potential to affect the balance of ecological interactions between groups of microbes in the soil profile. For instance, decreases in fungal to bacterial ratios have been observed in the rhizosphere of plants with longer specific root lengths (Demenois et al., 2018; Wan et al., 2021), a common phenotype selected in breeding programs (Hund et al., 2009; Lopes and Reynolds, 2010; Henry et al., 2011). This occurs because at deeper soil layers, fast-growing copiotrophic bacteria can outcompete slower-growing fungi for access to the labile carbon released through rhizodeposits (Figure 1). Thus, causing a reduction in fungal biomass as other forms of more recalcitrant carbon – more efficiently processed by saprophytic fungi – are locally absent or present in shorter supply (Jobbágy and Jackson, 2001; Rousk and Bååth, 2011). However, at shallower soil depths, fungi can often – or at least partially – outcompete some bacterial taxa. This occurs due to the capacity of most saprotrophic fungi to process recalcitrant forms of carbon more efficiently (e.g., lignin, pectin, glycans) that, in general, bacteria lack the enzymatic capacity or take longer to degrade and utilize (Janusz et al., 2017).

Root branching

Plant-root branching patterns are formed through the development of lateral roots, which influence the total surface area of the root that is in contact with the soil (Liu et al., 2014). This alters the total size of the rhizosphere that is available for microbial colonization (Figure 1). Through plant development, root branching often causes narrower roots to be produced at lower order roots, thus allowing the exploitation of smaller soil pores and/or micro-aggregates (Jungk, 2001). Within the context of the rhizosphere, the size, distribution, and connectivity of soil pores are important determinants of the formation of microbial microhabitats (Kim et al., 2022; Vogel et al., 2022). In this scenario, it is possible that smaller pores act as isolated habitat patches, which can influence competitive interactions and strengthen patterns of coexistence among microbial taxa (Lowery and Ursell, 2019). This is corroborated by the fact that finer roots have been shown to contain more diverse microbial communities when compared to higher-order roots (Saleem et al., 2016; Pervaiz et al., 2020; King et al., 2021; Luo et al., 2021). Moreover, some microbial taxa have also been shown be more abundant in specific root orders (Wang et al., 2017), possibly due to their ability to compete in distinct habitat patch sizes with characteristic biotic and abiotic conditions. For example, microbial taxa affiliated with Oxalobacteraceae, Comamonadaceae, and Polyangiaceae were shown to mostly colonize either the nodal or seminal roots of Brachypodium distachyon (Kawasaki et al., 2016). In line with that, members of Oxalobacteraceae have also been shown to be able to restore lateral root development in defective mutants once the soil had been conditioned by plant flavones (Yu et al., 2021). Interestingly, this finding also indicates that lateral root development can – in some cases – in part be determined by the feedback between plants and their associated microbes in the rhizosphere.

Root anatomy

Root anatomy is determined by the cellular composition and function of the structures that make up plant roots (e.g., cortical tissue, vascular bundles, root hairs, and root cap). The arrangement and chemical composition of tissues and cells within the root directly affect the physical environment of the soil (Kawa and Brady, 2022). This occurs via changes in the rates of diffusion of nutrients and sloughed-off cells at the root-soil interface, the indirect effects on gradients of water and exudates, as well as the modulation of chemical properties (e.g., oxygen diffusion, pH) of the rhizosphere at the micro-scale (Kirk et al., 2019; Salas-González et al., 2021).

Root hairs

Root hairs are single-celled outgrowths from the root epidermis which extend the plant’s root surface area, increase nutrient and water uptake (Qiao and Libault, 2013). Root hairs increase the enzymatic activity and the extent of the rhizosphere, depending on their length and density (Ma et al., 2018). Such traits help plants to tolerate drought and accumulate phosphorous (Marin et al., 2021). In addition, the area of soil in contact with root hairs can serve as a zone of carbon accumulation, which has the potential to enrich microbial activity and diversity (Kravchenko et al., 2019). For example, hairless barley mutants were shown to result in differences in rhizosphere microbiome composition and lower community diversity (Robertson-Albertyn et al., 2017). In another study, a collection of bacterial taxa isolated from the root hairs of Leersia oryzoides, and inoculated in rice (Oryza sativa, a domesticated relative), were shown to stimulate root hair formation (Verma et al., 2018); these same bacterial taxa were also able to protect the plant against fungal pathogens. Together, these studies indicate the beneficial impacts of specific microbial taxa on dynamically influencing both root phenotypes and plant health.

Altering root hair characteristics could actively augment soil pore space and aeration. For example, in barley, genotypes with more root hairs resulted in altered soil porosity and connectivity, and higher pore volume which alleviated root-induced soil compaction. (Koebernick et al., 2017). The physical and chemical consequences of soil compaction can have a direct effect on the soil microbiome, for example, by favoring methanogenic and denitrifier taxa under oxygen-limiting conditions (Weisskopf et al., 2010). Additionally, root hairs can increase root exudation (Holz et al., 2018) due to passive transport being easier through root hairs compared to other root orders. This occurs due to a large surface area of contact with soil, and a lack of lignification and suberization in root hairs (Boyer and Kramer, 1995). Despite the direct effect of root exudation on microbial diversity, activity, and biomass (Eisenhauer et al., 2017), greater root hairs can – in some cases – also result in lower microbial activity in the rhizosphere. For example, genotypes with abundant root hairs can more efficiently uptake water in the root-soil interface (Segal et al., 2008), thus limiting its availability for microbial growth and activity in the rhizosphere (Manzoni et al., 2016).

Root cortical aerenchyma

Variation in root cortical aerenchyma (RCA) across plant species and genotypes can also directly influence the rhizosphere microbiome (Figure 2). For example, greater occurrence of RCA in the cortex results in a lower number of cortical cells available for mycorrhizal root colonization (Dreyer et al., 2010; Galindo-Castañeda et al., 2019). This can favor lower carbon allocation in the root cortex, but disfavor mycorrhizal plants, which rely on efficient symbiosis for survival/performance under phosphorous and water-limited conditions (Begum et al., 2019). Moreover, the presence, abundance, and distribution of RCA affect the rates of nutrient and gas exchange in the rhizosphere (Smits et al., 1990; Hu et al., 2014). For example, increases in the abundance of RCA in maize roots was shown to reduce phosphate exudation (Hu et al., 2014), which can – in turn – influence the composition of bacterial and fungal communities (Finkel et al., 2019; Gumiere et al., 2019). In another study, RCA was shown to affect carbon dioxide (CO2) exchange in the root zone, directly affecting gradients of pH at the root-soil interface via carbonic acid production (Kirk et al., 2019). In fact, local pH might be one of the most important factors influencing the rhizosphere microbiome (Fierer and Jackson, 2006; Malik et al., 2017; Bahram et al., 2018). In particular, pH is known to affect microbial communities by causing variation in nutrient availability and uptake (Peterson, 1982), and by influencing the kinetics of biochemical reactions (e.g., nitration; Van Hulle et al., 2007).

FIGURE 2
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Figure 2 Variation in root anatomical traits and their influences on chemical gradients modulating microbial microhabitats in the rhizosphere: (A, B) variation in root cortical aerenchyma; and (C, D) Suberin and Casparian strip modification.

Root endodermal barriers

Suberin deposits and Casparian strips are the main endodermal structures regulating the ionic flow from the root (Beck, 2005). Modifications in suberin deposition and Casparian strip permeability alter the release of metabolites in the rhizosphere (i.e., root exudates) (Calvo-Polanco et al., 2021). This has been shown to influence the abundance of a range of microbes, including Pseudomonadaceae (Durr et al., 2021; Salas-González et al., 2021) – a bacterial family displaying functions associated with plant health (e.g., disease suppression, plant-growth promotion) (Preston, 2004). In addition, endodermal suberin is degraded by the plant in response to ethylene (Barberon et al., 2016) – a plant hormone that is modulated and able to be produced by specific rhizosphere microbes (Ravanbakhsh et al., 2018) – as well as by plant-microbe feedback via abscisic acid (Salas-González et al., 2021). Therefore, suberization can potentially be modulated via plant-microbe feedback by diverse pathways. This has implications for the plant’s ionic homeostasis as root endodermal barriers also influence the flow of ions, such as iron and salt, into root tissues (Durr et al., 2021; Salas-González et al., 2021).

Suberization of endodermal cells also alters the radial oxygen loss into the rhizosphere (Armstrong and Armstrong, 2005). This effect could also modulate differential responses of microbial taxa, as oxygen can rapidly be consumed by aerobic copiotroph taxa (Hojberg and Sorensen, 1993), and a range of rhizosphere microbes have shown varying abilities to adapt to shifting oxygen conditions (Lecomte et al., 2018). Moreover, as suberization also affects the thickness and rigidity of the cortex, suberin deposition has often been selected in breeding programs to promote resistance against pathogens (Valenzuela-Estrada et al., 2012). In this case, by conferring a physical barrier to pathogen penetration. However, these breeding lines may find new uses in influencing the overall microbiome given the newly discovered role of suberization in rhizosphere microhabitat manipulation.

Research priorities for integrating root phenomics and microbial ecology

Identifying root phenes for targeted manipulation of rhizosphere microbiomes will require coordinated research efforts from microbial ecologists, plant scientists, and plant breeders. To stimulate these efforts, we suggest research priorities to gain a better understanding of how various root phenotypes modulate microbial microhabitats in the rhizosphere:

● Gene mutants and recombinant inbred lines can be utilized to isolate phene level differences in roots that influence microbial microhabitat and – in turn – microbial diversity and function (Prokhnevsky et al., 2008; Song et al., 2016; Polania et al., 2017). Nevertheless, these mechanisms must be contextualized within edaphic conditions, disease, climatic factors, and plant developmental stage, all of which have been demonstrated to influence plant-associated microbiomes (Chaparro et al., 2012; Jansson and Hofmockel, 2020; Gao et al., 2021; Bell et al., 2022).

● Root phenotypes have been shown to differ between domesticated crops and their wild relatives (Martín-Robles et al., 2018). As such, the integration of microbial ecology and root phenomics needs to consider ancestral and domesticated crops to gain a broader understanding of phene diversity influencing microbial selection in the rhizosphere (Pérez-Jaramillo et al., 2018).

● Plant-microbe interactions take place at micro-scales. Describing this system will require methods capable of characterizing fine-scale changes in the rhizosphere. For example, the use of matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to monitor metabolite release (Korenblum et al., 2020), lux biosensors to identify the sites of colonization of microbes in response to specific root metabolites (Pini et al., 2017; Geddes et al., 2019), and par-seqFISH (parallel sequential fluorescence in situ hybridization) to provide cell-level transcriptional responses of microbes within microhabitats (Dar et al., 2021).

Conclusion

Here, we reviewed how differences in root phenotypes can influence resource availability and the spatial configuration of microbial microhabitats in the rhizosphere. We also outlined research priorities for integrating root phenomics with microbial ecology to manipulate microhabitats at the root-soil interface. We argue that modifying microbial microhabitat via root phenotypes could provide an unprecedented level of control on plant-associated microbes. Advancing research that effectively promotes the manipulation of microbiomes in plant roots could increase agricultural sustainability, yield, and resilience in the face of the rising food demand and an increasingly less stable climate.

Author contributions

HB, CT, GC, and FD-A wrote, discussed, and reviewed the manuscript. All authors contributed to the article and approved the final version.

Acknowledgments

This work was support by the USDA-NIFA Award 2021-67013-33723 and the Fulbright Lloyd's Award provided by the US-UK Fulbright Commission.

Conflict of interest

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Armstrong, J., Armstrong, W. (2005). Rice: Sulfide-induced barriers to root radial oxygen loss, Fe2+ and water uptake, and lateral root emergence. Ann. Bot. 96 (4), 625–638. doi: 10.1093/aob/mci215

PubMed Abstract | CrossRef Full Text | Google Scholar

Badri, D. V., Zolla, G., Bakker, M. G., Manter, D. K., Vivanco, J. M. (2013). Potential impact of soil microbiomes on the leaf metabolome and on herbivore feeding behavior. New Phytol. 198 (1), 264–273. doi: 10.1111/nph.12124

PubMed Abstract | CrossRef Full Text | Google Scholar

Bahram, M., Hildebrand, F., Forslund, S. K., Anderson, J. L., Soudzilovskaia, N. A., Bodegom, P. M., et al. (2018). Structure and function of the global topsoil microbiome. Nature 560 (7717), 233–237. doi: 10.1038/s41586-018-0386-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Barberon, M., Vermeer, J. E. M., De Bellis, D., Wang, P., Naseer, S., Andersen, T. G., et al. (2016). Adaptation of root function by nutrient-induced plasticity of endodermal differentiation. Cell 164 (3), 447–459. doi: 10.1016/j.cell.2015.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, C. B. (2005). “The root” in An introduction to plant structure and development. Ed. Beck, C. B. (Cambridge, UK: Cambridge University Press), 272–315.

Google Scholar

Begum, N., Qin, C., Ahanger, M. A., Raza, S., Khan, M. I., Ashraf, M., et al. (2019). Role of arbuscular mycorrhizal fungi in plant growth regulation: Implications in abiotic stress tolerance. Front. Plant Sci. 10. doi: 10.3389/fpls.2019.01068

PubMed Abstract | CrossRef Full Text | Google Scholar

Bell, J. K., Mamet, S. D., Helgason, B., Siciliano, S. D. (2022). Brassica napus bacterial assembly processes vary with plant compartment and growth stage but not between lines. Appl. Environ. Microbiol. 88 (10), e0027322. doi: 10.1128/aem.00273-22

PubMed Abstract | CrossRef Full Text | Google Scholar

Benard, P., Zarebanadkouki, M., Carminati, A. (2019). Physics and hydraulics of the rhizosphere network. J. Plant Nutr. Soil Sci. 182 (1), 5–8. doi: 10.1002/jpln.201800042

CrossRef Full Text | Google Scholar

Boyer, J. S., Kramer, P. J. (1995). “Roots and root system”. Water relations Plants soils (San Diego, CA), 115–166.

Google Scholar

Brewer, T. E., Aronson, E. L., Arogyaswamy, K., Billings, S. A., Botthoff, J. K., Campbell, A. N., et al. (2019). Ecological and genomic attributes of novel bacterial taxa that thrive in subsurface soil horizons. MBio 10 (5), 1–14. doi: 10.1128/mBio.01318-19

CrossRef Full Text | Google Scholar

Broedel, E., Tomasella, J. (2017). Deep soil water dynamics in an undisturbed primary forest in central Amazonia : Differences between normal years and the 2005 drought. Hydrol Processes 31, 1749–1759. doi: 10.1002/hyp.11143

CrossRef Full Text | Google Scholar

Calvo-Polanco, M., Ribeyre, Z., Dauzat, M., Reyt, G., Hidalgo-Shrestha, C., Diehl, P., et al. (2021). Physiological roles of casparian strips and suberin in the transport of water and solutes. New Phytol. 232 (6), 2295–2307. doi: 10.1111/nph.17765

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaparro, J. M., Sheflin, A. M., Manter, D. K., Vivanco, J. M. (2012). Manipulating the soil microbiome to increase soil health and plant fertility. Biol. Fertil Soils 48 (5), 489–499. doi: 10.1007/s00374-012-0691-4

CrossRef Full Text | Google Scholar

Dar, D., Dar, N., Cai, L., Newman, D. K. (2021). Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution. Science 373 (6556), eabi4882. doi: 10.1126/science.abi4882

PubMed Abstract | CrossRef Full Text | Google Scholar

Demenois, J., Rey, F., Ibanez, T., Stokes, A., Carriconde, F. (2018). Linkages between root traits, soil fungi and aggregate stability in tropical plant communities along a successional vegetation gradient. Plant Soil 424, 319–334. doi: 10.1300/J064v14n02_08

CrossRef Full Text | Google Scholar

De Vries, F. T., Griffiths, R. I., Knight, C. G., Nicolitch, O., Williams, A. (2020). Harnessing rhizosphere microbiomes for drought-resilient crop production. Science 368 (6488), 270–274. doi: 10.1126/science.aaz5192

PubMed Abstract | CrossRef Full Text | Google Scholar

Dibner, R. R., Weaver, A. M., Brock, M. T., Custer, G. F., Morrison, H. G., Maignien, L., et al. (2021). Time outweighs the effect of host developmental stage on microbial community composition. FEMS Microbiol. Ecol. 97 (9), 1–11. doi: 10.1093/femsec/fiab102

CrossRef Full Text | Google Scholar

Dini-Andreote, F. (2020). Endophytes: The second layer of plant defense. Trends Plant Sci. 25 (4), 10–12. doi: 10.1016/j.tplants.2020.01.007

CrossRef Full Text | Google Scholar

Dreyer, B., Morte, A., López, J.Á., Honrubia, M. (2010). Comparative study of mycorrhizal susceptibility and anatomy of four palm species. Mycorrhiza 20 (2), 103–115. doi: 10.1007/s00572-009-0266-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Durr, J., Reyt, G., Spaepen, S., Hilton, S., Meehan, C., Qi, W., et al. (2021). A novel signaling pathway required for arabidopsis endodermal root organization shapes the rhizosphere microbiome. Plant Cell Physiol. 62 (2), 248–261. doi: 10.1093/pcp/pcaa170

PubMed Abstract | CrossRef Full Text | Google Scholar

Edwards, J. A., Santos-Medellín, C. M., Liechty, Z. S., Nguyen, B., Lurie, E., Eason, S., et al. (2018). Compositional shifts in root-associated bacterial and archaeal microbiota track the plant life cycle in field-grown rice. PloS Biol. 16 (2), e2003862. doi: 10.1371/journal.pbio.2003862

PubMed Abstract | CrossRef Full Text | Google Scholar

Eisenhauer, N., Lanoue, A., Strecker, T., Scheu, S., Steinauer, K., Thakur, M. P., et al. (2017). Root biomass and exudates link plant diversity with soil bacterial and fungal biomass. Sci. Rep. 7, 44641. doi: 10.1038/srep44641

PubMed Abstract | CrossRef Full Text | Google Scholar

Fierer, N., Jackson, R. B. (2006). The diversity and biogeography of soil bacterial communities. Proc. Natl. Acad. Sci. 103 (3), 626–631. doi: 10.1073/pnas.0507535103

CrossRef Full Text | Google Scholar

Fierer, N., Nemergut, D., Knight, R., Craine, J. M. (2010). Changes through time: Integrating microorganisms into the study of succession. Res. Microbiol. 161 (8), 635–642. doi: 10.1016/j.resmic.2010.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Finkel, O. M., Salas-González, I., Castrillo, G., Spaepen, S., Law, T. F., Teixeira, P. J. P. L., et al. (2019). The effects of soil phosphorus content on plant microbiota are driven by the plant phosphate starvation response. PloS Biol. 17 (11), e3000534. doi: 10.1371/journal.pbio.3000534

PubMed Abstract | CrossRef Full Text | Google Scholar

Fu, L., Xiong, W., Dini-Andreote, F., Wang, B., Tao, C., Ruan, Y., et al. (2020). Changes in bulk soil affect the disease-suppressive rhizosphere microbiome against fusarium wilt disease. Front. Agric. Sci. Eng. 7 (3), 307–316. doi: 10.15302/J-FASE-2020328

CrossRef Full Text | Google Scholar

Galindo-Castañeda, T., Brown, K. M., Kuldau, G. A., Roth, G. W., Wenner, N. G., Ray, S., et al. (2019). Root cortical anatomy is associated with differential pathogenic and symbiotic fungal colonization in maize. Plant Cell Environ. 42 (11), 2999–3014. doi: 10.1111/pce.13615

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, M., Xiong, C., Gao, C., Tsui, C. K. M., Wang, M. M., Zhou, X., et al. (2021). Disease-induced changes in plant microbiome assembly and functional adaptation. Microbiome 9, 187. doi: 10.1186/s40168-021-01138-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Geddes, B. A., Paramasivan, P., Joffrin, A., Thompson, A. L., Christensen, K., Jorrin, B., et al. (2019). Engineering transkingdom signalling in plants to control gene expression in rhizosphere bacteria. Nat. Commun. 10, 3430. doi: 10.1038/s41467-019-10882-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gumiere, T., Rousseau, A. N., da Costa, D. P., Cassetari, A., Cotta, S. R., Andreote, F. D., et al. (2019). Phosphorus source driving the soil microbial interactions and improving sugarcane development. Sci. Rep. 9, 4400. doi: 10.1038/s41598-019-40910-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Hartman, K., Tringe, S. G. (2019). Interactions between plants and soil shaping the root microbiome under abiotic stress. Biochem. J. 476 (19), 2705–2724. doi: 10.1042/BCJ20180615

PubMed Abstract | CrossRef Full Text | Google Scholar

Henry, A., Gowda, V. R. P., Torres, R. O., McNally, K. L., Serraj, R. (2011). Variation in root system architecture and drought response in rice (Oryza sativa): Phenotyping of the OryzaSNP panel in rainfed lowland fields. Field Crops Res. 120 (2), 205–214. doi: 10.1016/j.fcr.2010.10.003

CrossRef Full Text | Google Scholar

Hiltner, L. (1904). Über neuere erfahrungen und probleme aufdem gebiete der bodenbakteriologie unter besonderer berücksichtigung der gründüngung und brache. Arbeitender Deutschen Landwirtschaftlichen Gesellschaft 98, 59–78.

Google Scholar

Hojberg, O., Sorensen, J. (1993). Microgradients of microbial oxygen consumption in a barley rhizosphere model system. Appl. Environ. Microbiol. 59 (2), 431–437. doi: 10.1128/aem.59.2.431-437.1993

PubMed Abstract | CrossRef Full Text | Google Scholar

Holz, M., Zarebanadkouki, M., Kuzyakov, Y., Pausch, J., Carminati, A. (2018). Root hairs increase rhizosphere extension and carbon input to soil. Ann. Bot. 121 (1), 61–69. doi: 10.1093/aob/mcx127

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, B., Henry, A., Brown, K. M., Lynch, J. P. (2014). Root cortical aerenchyma inhibits radial nutrient transport in maize (Zea mays). Ann. Bot. 113 (1), 181–189. doi: 10.1093/aob/mct259

PubMed Abstract | CrossRef Full Text | Google Scholar

Hund, A., Ruta, N., Liedgens, M. (2009). Rooting depth and water use efficiency of tropical maize inbred lines, differing in drought tolerance. Plant Soil 318, 311–325. doi: 10.1007/s11104-008-9843-6

CrossRef Full Text | Google Scholar

Jansson, J. K., Hofmockel, K. S. (2020). Soil microbiomes and climate change. Nat. Rev. Microbiol. 18, 35–46. doi: 10.1038/s41579-019-0265-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Janusz, G., Pawlik, A., Sulej, J., Świderska-Burek, U., Jarosz-Wilkolazka, A., Paszczyński, A. (2017). Lignin degradation: Microorganisms, enzymes involved, genomes analysis and evolution. FEMS Microbiol. Rev. 41 (6), 941–962. doi: 10.1093/femsre/fux049

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiao, S., Chen, W., Wang, J., Du, N., Li, Q., Wei, G. (2018). Soil microbiomes with distinct assemblies through vertical soil profiles drive the cycling of multiple nutrients in reforested ecosystems. Microbiome 6, 146. doi: 10.1186/s40168-018-0526-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Jobbágy, E. G., Jackson, R. B. (2001). The distribution of soil nutrients with depth: Global patterns and the imprint of plants. Biogeochemistry 53, 51–77. doi: 10.1023/A:1010760720215

CrossRef Full Text | Google Scholar

Jungk, A. (2001). Root hairs and the acquisition of plant nutrients from soil. J. Plant Nutr. Soil Sci. 164 (2), 121–129. doi: 10.1002/1522-2624(200104)164:2<121::AID-JPLN121>3.0.CO;2-6

CrossRef Full Text | Google Scholar

Kawa, D., Brady, S. M. (2022). Root cell types as an interface for biotic interactions.. Trends in Plant Science. In press. doi: 10.1016/j.tplants.2022.06.003

CrossRef Full Text | Google Scholar

Kawasaki, A., Donn, S., Ryan, P. R., Mathesius, U., Devilla, R., Jones, A., et al. (2016). Microbiome and exudates of the root and rhizosphere of brachypodium distachyon, a model for wheat. PloS One 11 (10), e0164533. doi: 10.1371/journal.pone.0164533

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, K., Gil, J., Ostrom, N. E., Gandhi, H., Oerther, M. S., Kuzyakov, Y., et al. (2022). Soil pore architecture and rhizosphere legacy define N2O production in root detritusphere. Soil Biol. Biochem. 166, 108565. doi: 10.1016/j.soilbio.2022.108565

CrossRef Full Text | Google Scholar

King, W. L., Yates, C. F., Guo, J., Fleishman, S. M., Trexler, R. V., Centinari, M., et al. (2021). The hierarchy of root branching order determines bacterial composition, microbial carrying capacity and microbial filtering. Commun. Biol. 4, 483. doi: 10.1038/s42003-021-01988-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Kirk, G. J. D., Boghi, A., Affholder, M. C., Keyes, S. D., Heppell, J., Roose, T. (2019). Soil carbon dioxide venting through rice roots. Plant Cell Environ. 42 (12), 3197–3207. doi: 10.1111/pce.13638

PubMed Abstract | CrossRef Full Text | Google Scholar

Koebernick, N., Daly, K. R., Keyes, S. D., George, T. S., Brown, L. K., Raffan, A., et al. (2017). High-resolution synchrotron imaging shows that root hairs influence rhizosphere soil structure formation. New Phytol. 216 (1), 124–135. doi: 10.1111/nph.14705

PubMed Abstract | CrossRef Full Text | Google Scholar

Koebernick, N., Naveed, M., Daly, K., Cooper, L., Benghough, G., Hallett, P., et al. (2018). Root induced compaction alleviation by root hairs-visualization with synchrotron imaging. EGU Gen. Assembly Conf. Abstracts 8410.

Google Scholar

Korenblum, E., Dong, Y., Szymanski, J., Panda, S., Jozwiak, A., Massalha, H., et al. (2020). Rhizosphere microbiome mediates systemic root metabolite exudation by root-to-root signaling. Proc. Natl. Acad. Sci. United States America 117 (7), 3874–3883. doi: 10.1073/pnas.1912130117

CrossRef Full Text | Google Scholar

Kravchenko, A. N., Guber, A. K., Razavi, B. S., Koestel, J., Quigley, M. Y., Robertson, G. P., et al. (2019). Microbial spatial footprint as a driver of soil carbon stabilization. Nat. Commun. 10, 3121. doi: 10.1038/s41467-019-11057-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Lecomte, S. M., Achouak, W., Abrouk, D., Heulin, T., Nesme, X., el Haichar, F. Z. (2018). Diversifying anaerobic respiration strategies to compete in the rhizosphere. Front. Environ. Sci. 6 (139). doi: 10.3389/fenvs.2018.00139

CrossRef Full Text | Google Scholar

Liu, S., He, F., Kuzyakov, Y., Xiao, H., Hoang, D. T. T., Pu, S., et al. (2022). Nutrients in the rhizosphere: A meta-analysis of content, availability, and influencing factors. Sci. Total Environ. 826, 153908. doi: 10.1016/j.scitotenv.2022.153908

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, L., Zhang, H., Ju, C., Xiong, Y., Bian, J., Zhao, B., et al. (2014). Changes in grain yield and root morphology and physiology of mid-season rice in the Yangtze river basin of China during the last 60 years. J. Agric. Sci. 6 (7), 1–15. doi: 10.5539/jas.v6n7p1

CrossRef Full Text | Google Scholar

Lopes, M. S., Reynolds, M. P. (2010). Partitioning of assimilates to deeper roots is associated with cooler canopies and increased yield under drought in wheat. Funct. Plant Biol. 37, 147–156. doi: 10.1071/FP09121

CrossRef Full Text | Google Scholar

Lowery, N. V., Ursell, T. (2019). Structured environments fundamentally alter dynamics and stability of ecological communities. Proc. Natl. Acad. Sci. United States America 116 (2), 379–388. doi: 10.1073/pnas.1811887116

CrossRef Full Text | Google Scholar

Luo, W., Zai, X., Sun, J., Li, D., Li, Y., Li, G., et al. (2021). Coupling root diameter with rooting depth to reveal the heterogeneous assembly of root-associated bacterial communities in soybean. Front. Microbiol. 12 (783563). doi: 10.3389/fmicb.2021.783563

CrossRef Full Text | Google Scholar

Lynch, J. P. (2019). Root phenotypes for improved nutrient capture: an underexploited opportunity for global agriculture. New Phytol. 223 (2), 548–564. doi: 10.1111/nph.15738

PubMed Abstract | CrossRef Full Text | Google Scholar

Malik, A. A., Thomson, B. C., Whiteley, A. S., Bailey, M., Griffiths, R. I. (2017). Bacterial physiological adaptations to contrasting edaphic conditions identified using landscape scale metagenomics. MBio 8 (4), e00799–17. doi: 10.1128/mBio.00799-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Manzoni, S., Schimel, J. P., Porporato, A., Ecology, S., April, N., Manzoni, S., et al. (2016). Responses of soil microbial communities to water stress: results from a meta-analysis. Ecology 93 (4), 930–938. doi: 10.1890/11-0026.1

CrossRef Full Text | Google Scholar

Marin, M., Feeney, D. S., Brown, L. K., Naveed, M., Ruiz, S., Koebernick, N., et al. (2021). Significance of root hairs for plant performance under contrasting field conditions and water deficit. Ann. Bot. 128 (1), 1–16. doi: 10.1093/aob/mcaa181

PubMed Abstract | CrossRef Full Text | Google Scholar

Martín-Robles, N., Morente-López, J., Freschet, G. T., Poorter, H., Roumet, C., Milla, R. (2018). Root traits of herbaceous crops: Pre-adaptation to cultivation or evolution under domestication? Funct. Ecol. 33 (2), 273–285. doi: 10.1111/1365-2435.13231

CrossRef Full Text | Google Scholar

Ma, X., Zarebanadkouki, M., Kuzyakov, Y., Blagodatskaya, E., Pausch, J., Razavi, B. S. (2018). Spatial patterns of enzyme activities in the rhizosphere: Effects of root hairs and root radius. Soil Biol. Biochem. 118, 69–78. doi: 10.1016/j.soilbio.2017.12.009

CrossRef Full Text | Google Scholar

Myo, E. M., Ge, B., Ma, J., Cui, H., Liu, B., Shi, L., et al. (2019). Indole-3-acetic acid production by streptomyces fradiae NKZ-259 and its formulation to enhance plant growth. BMC Microbiol. 19 (1), 155. doi: 10.1186/s12866-019-1528-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Neilson, J. W., Califf, K., Cardona, C., Copeland, A., van Treuren, W., Josephson, K. L., et al. (2017). Significant impacts of increasing aridity on the arid soil microbiome. MSystems 2 (3), e00195–16. doi: 10.1128/msystems.00195-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Nunes, R., de, S., de Sousa, D. M. G., Goedert, W. J., de Oliveira, L. E. Z., Pavinato, P. S., et al. (2020). Distribution of soil phosphorus fractions as a function of long-term soil tillage and phosphate fertilization management. Front. Earth Sci. 8 (350). doi: 10.3389/feart.2020.00350

CrossRef Full Text | Google Scholar

Pastore, G., Kernchen, S., Spohn, M. (2020). Microbial solubilization of silicon and phosphorus from bedrock in relation to abundance of phosphorus-solubilizing bacteria in temperate forest soils. Soil Biol. Biochem. 151, 108050. doi: 10.1016/j.soilbio.2020.108050

CrossRef Full Text | Google Scholar

Paul, R., Singh, R. D., Patra, A. K., Biswas, D. R., Bhattacharyya, R., Arunkumar, K. (2018). Phosphorus dynamics and solubilizing microorganisms in acid soils under different land uses of lesser Himalayas of India. Agroforestry Syst. 92 (2), 449–461. doi: 10.1007/s10457-017-0168-4

CrossRef Full Text | Google Scholar

Pekkonen, M., Ketola, T., Laakso, J. T. (2013). Resource availability and competition shape the evolution of survival and growth ability in a bacterial community. PloS One 8 (9), 1–12. doi: 10.1371/journal.pone.0076471

CrossRef Full Text | Google Scholar

Pérez-Jaramillo, J. E., Carrión, V. J., de Hollander, M., Raaijmakers, J. M. (2018). The wild side of plant microbiomes. Microbiome 6 (1), 4–9. doi: 10.1186/s40168-018-0519-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Pervaiz, Z. H., Contreras, J., Hupp, B. M., Lindenberger, J. H., Chen, D., Zhang, Q., et al. (2020). Root microbiome changes with root branching order and root chemistry in peach rhizosphere soil. Rhizosphere 16, 100249. doi: 10.1016/j.rhisph.2020.100249

CrossRef Full Text | Google Scholar

Peterson, J. C. (1982). Effects of pH upon nutrient availability in a commercial soilless root medium utilized for floral crop production. Ohio State Univ. Ohio Reseach Develoment Center. Cir 268, 16–19.

Google Scholar

Pini, F., East, A. K., Appia-Ayme, C., Tomek, J., Karunakaran, R., Mendoza-Suárez, M., et al. (2017). Bacterial biosensors for in vivo spatiotemporal mapping of root secretion. Plant Physiol. 174 (3), 1289–1306. doi: 10.1104/pp.16.01302

PubMed Abstract | CrossRef Full Text | Google Scholar

Polania, J., Rao, I. M., Cajiao, C., Grajales, M., Rivera, M., Velasquez, F., et al. (2017). Shoot and root traits contribute to drought resistance in recombinant inbred lines of MD 23–24 × SEA 5 of common bean. Front. Plant Sci. 8 (296). doi: 10.3389/fpls.2017.00296

PubMed Abstract | CrossRef Full Text | Google Scholar

Preston, G. M. (2004). Plant perceptions of plant growth-promoting pseudomonas. Philos. Trans. R. Soc. B: Biol. Sci. 359 (1446), 907–918. doi: 10.1098/rstb.2003.1384

CrossRef Full Text | Google Scholar

Prokhnevsky, A. I., Peremyslov, V. V., Dolja, V. V. (2008). Overlapping functions of the four class XI myosins in arabidopsis growth, root hair elongation, and organelle motility. Proc. Natl. Acad. Sci. United States America 105 (50), 19744–19749. doi: 10.1073/pnas.0810730105

CrossRef Full Text | Google Scholar

Qiao, Z., Libault, M. (2013). Unleashing the potential of the root hair cell as a single plant cell type model in root systems biology. Front. Plant Sci. 4 (848). doi: 10.3389/fpls.2013.00484

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramalingam, P., Kamoshita, A., Deshmukh, V., Yaginuma, S., Uga, Y. (2017). Association between root growth angle and root length density of a nearisogenic line of IR64 rice with DEEPER ROOTING 1 under different levels of soil compaction. Plant Production Sci. 20 (2), 162–175. doi: 10.1080/1343943X.2017.1288550

CrossRef Full Text | Google Scholar

Ravanbakhsh, M., Sasidharan, R., Voesenek, L. A. C. J., Kowalchuk, G. A., Jousset, A. (2018). Microbial modulation of plant ethylene signaling: ecological and evolutionary consequences. Microbiome 6, 52. doi: 10.1186/s40168-018-0436-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Robertson-Albertyn, S., Terrazas, R. A., Balbirnie, K., Blank, M., Janiak, A., Szarejko, I., et al. (2017). Root hair mutations displace the barley rhizosphere microbiota. Front. Plant Sci. 8 (1094). doi: 10.3389/fpls.2017.01094

PubMed Abstract | CrossRef Full Text | Google Scholar

Rousk, J., Bååth, E. (2011). Growth of saprotrophic fungi and bacteria in soil. FEMS Microbiol. Ecol. 78, 17–30. doi: 10.1111/j.1574-6941.2011.01106.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Salas-González, I., Reyt, G., Flis, P., Custódio, V., Gopaulchan, D., Bakhoum, N., et al. (2021). Coordination between microbiota and root endodermis supports plant mineral nutrient homeostasis. Science 371 (6525), eabd0695. doi: 10.1126/science.abd0695

PubMed Abstract | CrossRef Full Text | Google Scholar

Saleem, M., Law, A. D., Moe, L. A. (2016). Nicotiana roots recruit rare rhizosphere taxa as major root-inhabiting microbes. Microbial Ecol. 71 (2), 469–472. doi: 10.1007/s00248-015-0672-x

CrossRef Full Text | Google Scholar

Schimel, J. P. (2018). Life in dry soils: Effects of drought on soil microbial communities and processes. Annu. Rev. Ecol Evolution Syst 49, 409–432. doi: 10.1146/annurev-ecolsys-110617-062614

CrossRef Full Text | Google Scholar

Segal, E., Kushnir, T., Mualem, Y., Shani, U. (2008). Water uptake and hydraulics of the root hair rhizosphere. Vadose Zone J. 7 (3), 1027–1034. doi: 10.2136/vzj2007.0122

CrossRef Full Text | Google Scholar

Smits, A. J. M., Laan, P., Thier, R. H., van der Velde, G. (1990). Root aerenchyma, oxygen leakage patterns and alcoholic fermentation ability of the roots of some nymphaeid and isoetid macrophytes in relation to the sediment type of their habitat. Aquat. Bot. 38 (1), 3–17. doi: 10.1016/0304-3770(90)90095-3

CrossRef Full Text | Google Scholar

Song, W., Wang, B., Hauck, A. L., Dong, X., Li, J., Lai, J. (2016). Genetic dissection of maize seedling root system architecture traits using an ultra-high density bin-map and a recombinant inbred line population. J. Integr. Plant Biol. 58 (3), 266–279. doi: 10.1111/jipb.12452

PubMed Abstract | CrossRef Full Text | Google Scholar

Stassen, M. J. J., Hsu, S. H., Pieterse, C. M. J., Stringlis, I. A. (2021). Coumarin communication along the microbiome–Root–Shoot axis. Trends Plant Sci. 26 (2), 169–183. doi: 10.1016/j.tplants.2020.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, B., Gao, Y., Lynch, J. P. (2018). Large Crown root number improves topsoil foraging and phosphorus acquisition. Plant Physiol. 177 (1), 90–104. doi: 10.1104/pp.18.00234

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, B., Li, Y., Liu, T., Tan, X., He, Y., You, X., et al. (2021). Response of plant rhizosphere microenvironment to water management in soil- and substrate-based controlled environment agriculture (CEA) systems: A review. Front. Plant Sci. 12 (691651). doi: 10.3389/fpls.2021.691651

CrossRef Full Text | Google Scholar

Trivedi, P., Schenk, P. M., Wallenstein, M. D., Singh, B. K. (2017). Tiny microbes, big yields: Enhancing food crop production with biological solutions. Microbial Biotechnol. 10 (5), 999–1003. doi: 10.1111/1751-7915.12804

CrossRef Full Text | Google Scholar

Turlure, C., Schtickzelle, N., Dubois, Q., Baguette, M., Dennis, R. L. H., Van Dyck, H. (2019). Suitability and transferability of the resource-based habitat concept: A test with an assemblage of butterflies. Front. Ecol. Evol. 7 (127). doi: 10.3389/fevo.2019.00127

CrossRef Full Text | Google Scholar

Valenzuela-Estrada, L. R., Bryla, D. R., Hoashi-Erhardt, W. K., Moore, P. P., Forge, T. A. (2012). Root traits associated with phytophthora root rot resistance in red raspberry. Acta Hortic. 946, 283–288. doi: 10.17660/actahortic.2012.946.46

CrossRef Full Text | Google Scholar

Van Hulle, S. W. H., Volcke, E. I. P., Teruel, J. L., Donckels, B., van Loosdrecht, M. C. M., Vanrolleghem, P. A. (2007). Influence of temperature and pH on the kinetics of the Sharon nitritation process. J. Chem. Technol. Biotechnol: Int. Res. Process Environ. Clean Technol. 82 (5), 471–480. doi: 10.1002/jctb.1692

CrossRef Full Text | Google Scholar

Verma, S. K., Kingsley, K., Bergen, M., English, C., Elmore, M., Kharwar, R. N., et al. (2018). Bacterial endophytes from rice cut grass (Leersia oryzoides l.) increase growth, promote root gravitropic response, stimulate root hair formation, and protect rice seedlings from disease. Plant Soil 422, 223–238. doi: 10.1007/s11104-017-3339-1

CrossRef Full Text | Google Scholar

Vogel, H. J., Balseiro-Romero, M., Kravchenko, A., Otten, W., Pot, V., Schlüter, S., et al. (2022). A holistic perspective on soil architecture is needed as a key to soil functions. Eur. J. Soil Sci. 73, e13152. doi: 10.1111/ejss.13152

CrossRef Full Text | Google Scholar

Wan, X., Chen, H., Chen, X., Huang, Z., Han, Y. (2021). Contribution of root traits to variations in soil microbial biomass and community composition. Plant Soil 460, 483–495. doi: 10.1007/s11104-020-04788-7

CrossRef Full Text | Google Scholar

Wang, Q., Wang, N., Wang, Y., Wang, Q., Duan, B. (2017). Differences in root-associated bacterial communities among fine root branching orders of poplar (Populus × euramericana (Dode) guinier.). Plant Soil 421, 123–135. doi: 10.1007/s11104-017-3449-9

CrossRef Full Text | Google Scholar

Weisskopf, P., Reiser, R., Rek, J., Oberholzer, H. R. (2010). Effect of different compaction impacts and varying subsequent management practices on soil structure, air regime and microbiological parameters. Soil Tillage Res. 111 (1), 65–74. doi: 10.1016/j.still.2010.08.007

CrossRef Full Text | Google Scholar

Xiong, C., Singh, B. K., He, J. Z., Han, Y. L., Li, P. P., Wan, L. H., et al. (2021). Plant developmental stage drives the differentiation in ecological role of the maize microbiome. Microbiome 9, 171. doi: 10.1186/s40168-021-01118-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, X., Liao, H., Beebe, S. E., Blair, M. W., Lynch, J. P. (2004). QTL mapping of root hair and acid exudation traits and their relationship to phosphorus uptake in common bean. Plant Soil 265, 17–29. doi: 10.1007/s11104-005-0693-1

CrossRef Full Text | Google Scholar

York, L. M., Nord, E. A., Lynch, J. P. (2013). Integration of root phenes for soil resource acquisition. Front. Plant Sci. 4 (355). doi: 10.3389/fpls.2013.00355

CrossRef Full Text | Google Scholar

Yu, P., He, X., Baer, M., Beirinckx, S., Tian, T., Moya, Y. A. T., et al. (2021). Plant flavones enrich rhizosphere oxalobacteraceae to improve maize performance under nitrogen deprivation. Nat. Plants 7 (4), 481–499. doi: 10.1038/s41477-021-00897-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: plant-microbe interaction, root anatomy, root architecture, traits, root exudates

Citation: Birt HWG, Tharp CL, Custer GF and Dini-Andreote F (2022) Root phenotypes as modulators of microbial microhabitats. Front. Plant Sci. 13:1003868. doi: 10.3389/fpls.2022.1003868

Received: 26 July 2022; Accepted: 08 September 2022;
Published: 23 September 2022.

Edited by:

Sunil Mundra, United Arab Emirates University, United Arab Emirates

Reviewed by:

Priyanka Kushwaha, University of Arizona, United States
Akansha Jain, Banaras Hindu University, India

Copyright © 2022 Birt, Tharp, Custer and Dini-Andreote. 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) and the copyright owner(s) 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: Francisco Dini-Andreote, YW5kcmVvdGVAcHN1LmVkdQ==

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