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Abstract Microbial symbionts exhibit broad genotypic variation in their fitness effects on hosts, leaving hosts vulnerable to costly partnerships. Interspecific conflict and partner‐maladaptation are frameworks to explain this variation, with different implications for mutualism stability. We investigated the mutualist service of nitrogen fixation in a metapopulation of root‐nodule formingBradyrhizobiumsymbionts inAcmisponhosts. We uncoveredBradyrhizobiumgenotypes that provide negligible mutualist services to hosts and had superiorin plantafitness during clonal infections, consistent with cheater strains that destabilise mutualisms. Interspecific conflict was also confirmed at the metapopulation level – by a significant negative association between the fitness benefits provided byBradyrhizobiumgenotypes and their local genotype frequencies – indicating that selection favours cheating rhizobia. Legumes have mechanisms to defend against rhizobia that fail to fix sufficient nitrogen, but these data support predictions that rhizobia can subvert plant defenses and evolve to exploit hosts.
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Pangenome Evolution Reconciles Robustness and Instability of Rhizobial Symbiosis
ABSTRACT Root nodulating rhizobia are nearly ubiquitous in soils and provide the critical service of nitrogen fixation to thousands of legume species, including staple crops. However, the magnitude of fixed nitrogen provided to hosts varies markedly among rhizobia strains, despite host legumes having mechanisms to selectively reward beneficial strains and to punish ones that do not fix sufficient nitrogen. Variation in the services of microbial mutualists is considered paradoxical given host mechanisms to select beneficial genotypes. Moreover, the recurrent evolution of non-fixing symbiont genotypes is predicted to destabilize symbiosis, but breakdown has rarely been observed. Here, we deconstructed hundreds of genome sequences from genotypically and phenotypically diverse Bradyrhizobium strains and revealed mechanisms that generate variation in symbiotic nitrogen fixation. We show that this trait is conferred by a modular system consisting of many extremely large integrative conjugative elements and few conjugative plasmids. Their transmissibility and propensity to reshuffle genes generate new combinations that lead to uncooperative genotypes and make individual partnerships unstable. We also demonstrate that these same properties extend beneficial associations to diverse host species and transfer symbiotic capacity among diverse strains. Hence, symbiotic nitrogen fixation is underpinned by modularity, which engenders flexibility, a feature that reconciles evolutionary robustness and instability. These results provide new insights into mechanisms driving the evolution of mobile genetic elements. Moreover, they yield a new predictive model on the evolution of rhizobial symbioses, one that informs on the health of organisms and ecosystems that are hosts to symbionts and that helps resolve the long-standing paradox. IMPORTANCE Genetic variation is fundamental to evolution yet is paradoxical in symbiosis. Symbionts exhibit extensive variation in the magnitude of services they provide despite hosts having mechanisms to select and increase the abundance of beneficial genotypes. Additionally, evolution of uncooperative symbiont genotypes is predicted to destabilize symbiosis, but breakdown has rarely been observed. We analyzed genome sequences of Bradyrhizobium, bacteria that in symbioses with legume hosts, fix nitrogen, a nutrient essential for ecosystems. We show that genes for symbiotic nitrogen fixation are within elements that can move between bacteria and reshuffle gene combinations that change host range and quality of symbiosis services. Consequently, nitrogen fixation is evolutionarily unstable for individual partnerships, but is evolutionarily stable for legume- Bradyrhizobium symbioses in general. We developed a holistic model of symbiosis evolution that reconciles robustness and instability of symbiosis and informs on applications of rhizobia in agricultural settings.
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- PAR ID:
- 10385725
- Editor(s):
- Cooper, Vaughn S.
- Date Published:
- Journal Name:
- mBio
- Volume:
- 13
- Issue:
- 3
- ISSN:
- 2150-7511
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1128/mbio.00074-22
