Biology subjects

Burghardt, L. T.

Publications and source records attributed to Burghardt, L. T..

10 recordsLinked to original sources

bioRxiv2026

Natural isolates of Sinorhizobium meliloti with dry, as opposed to mucoid, colony morphologies have higher soil fitness, slightly lower host fitness, and reduced nitrogen fixation

Sinorhizobium meliloti is a nitrogen-fixing soil bacterium that forms a facultative mutualism with its host alfalfa. S. meliloti strains exhibit diverse colony morphologies on solid culture media that span a continuum from dry to mucoid. Studies on how this trait affects symbiosis rely on mutations in exopolysaccharide II production genes; however, whether natural variation in morphology confers a selective advantage on rhizobia in their natural habitats remains unknown. Here, we used 90 mucoid and 27 dry natural isolates to test whether colony morphology is associated with rhizobial fitness in the soil and in the host, or with the nitrogen-fixation benefits they provide to the plant. Colony morphologies were widely distributed across a phylogenetic tree, suggesting that morphological shifts occurred repeatedly and no single genetic variant was strongly associated with this trait. We inoculated soil mesocosms and plants with a mixture of dry and mucoid bacteria. We observed that dry rhizobia have higher fitness, particularly at 22{degrees}C and 32{degrees}C, but not under cold or drought conditions, independent of the initial rhizobial load. Conversely, mucoid bacteria have a modestly higher relative fitness in host nodules, and single inoculations showed that they tend to confer greater benefits to all three alfalfa varieties. Over time, we also observed rare, repeated conversion from mucoid to dry morphologies in soil and host plants. Taken together, our study reveals that morphological variation within a species in a single agricultural field is important for bacterial fitness in the soil and can have cascading effects on the rhizobia's plant benefits.

ecology↗

bioRxiv2026

Active and total rhizosphere microbiomes of plant mixtures diverge from additive expectations, depending on nitrogen and plant composition

Mixing plant functional groups can boost plant productivity, but the underlying rhizosphere microbial dynamics remain unclear. We tested when to expect divergence from additive expectations by measuring plant traits and active and total rhizosphere microbiomes (via BONCAT-FACS and 16S rRNA gene amplicon sequencing) in monocultures and mixtures of legumes, brassicas, and grasses under varying nitrogen. While shoot biomass was predictable from monocultures, legume-containing mixtures yielded greater-than-expected root biomass and N-fixation. Each plant species supported distinct active and total microbiomes, and nitrogen addition increased microbiome divergence among plant species and their mixtures. In most plant mixtures, microbiomes were additive combinations of those associated with the individual species; legume-grass combinations were a notable exception, showing non-additive shifts in microbial composition, microbial activity, and the abundance of Rhizobium sp. This divergence from additive expectations coincided with non-additive biomass gains in legume-grass mixtures, suggesting that emergent plant-microbe interactions may underlie synergistic belowground responses.

ecology↗

bioRxiv2025

Rhizobia independently adapt to soil and legume host environments, but soil conditions influence the abundance of high-quality partners.

Rhizobia live as free-living microorganisms in the soil and in association with legume hosts. Both environments exert selective pressures on rhizobia, influencing the reproductive success of individual strains (e.g., fitness). The soil, a heterogeneous and fluctuating environment, is often overlooked, and little is known about whether selection in the soil influences the outcomes of the rhizobia-legume mutualism. We exposed a mixture of 68 Sinorhizobium meliloti strains to eight soil treatments (temperature, osmotic, and texture perturbations) and selection by two Medicago plant hosts. We found that cold (4{degrees}C) and warm (32{degrees}C) temperatures, as well as salt addition, had the strongest effects on diversity, community composition, or population size. Strain relative fitness was strongly positively correlated among soil treatments, except for cold. Genome-wide association analysis revealed a complex genetic architecture for soil fitness. In contrast, when comparing rhizobial fitness between soil and host environments, we found minimal strain fitness correlations, suggesting independent genetic bases and habitat-specific adaptations. Lastly, by examining the relationship between rhizobial fitness in the soil and their nitrogen-fixing plant benefits, we found that soil selection influenced the relative abundance of high- and low-quality strains; However, whether these effects were positive or negative for the plant was host dependent. Our results suggest that rhizobial evolution in soil and host are largely independent, but soil selection can alter mutualism benefits. IMPORTANCERhizobia-legume mutualism is crucial for introducing nitrogen into agricultural and natural ecosystems, and rhizobia persistence in the soil is an important component of agroecosystems. However, we know little about how individual strains of rhizobia persist and adapt to this environment, especially in the context of the soils spatial and temporal variations (temperature, moisture, and soil texture). We found that rhizobia similarly adapt to abiotic soil conditions but their reproductive success in the soil is independent from their reproductive success in the host. Intriguingly, we found that certain soil conditions increase (or decrease) the relative abundance of more effective nitrogen-fixing strains. Understanding how rhizobia adapt to diverse environments is crucial for developing effective bioinoculants that maintain high persistence in the soil while are also highly competitive to colonize the host and are beneficial to the plant.

ecology↗

bioRxiv2025

Nodule branching, size, and symbiosis outcomes are shaped by natural genetic variation in rhizobial bacteria and alfalfa hosts

In many host-microbe symbioses, hosts develop specialized organs that house microbial symbionts. In the legume-rhizobium symbiosis, these organs are called root nodules. While many studies have focused on host traits like plant growth, nodule number, and their structural changes, nodule morphology may also influence rhizobial benefits (e.g., bacterial population size). Here, we investigated how variation in alfalfa nodule morphologies influences the fitness outcome of both partners. Specifically, we measured how host and strain genetic variation influenced 1) nodule branch number, area, and rhizobial fitness at the individual nodule level and 2) the proportion of branched nodules, nodule number, and plant benefits at the whole plant level. From the rhizobial perspective, host identity had a stronger effect on rhizobial fitness, and larger or more branched nodules tend to release more rhizobia. From the host perspective, the proportion of branched nodules was strongly negatively correlated with the total nodule number and positively correlated with host benefit across multiple alfalfa genotypes. However, the strength of the relationship differed among hosts. Together, these results provide insight into the host and rhizobial genetic contributions to nodule morphology and symbiotic outcomes, suggesting a novel direction for further research in legume-rhizobium mutualism. HighlightPlant and bacterial symbiotic effectiveness can be gauged by the number of nodule branches formed in indeterminant legumes-rhizobium systems along with traditional metrics such as nodule count.

plant biology↗

bioRxiv2025

Genetic variation in host selectivity and adaptive strain enrichment within legume-rhizobia symbiosis: processes are host-dependent, far from perfect, and correlate with nodule morphology

Mutualism breakdown can be prevented if partner species preferentially select and reward partners that provide greater benefit. We examined these two components using the legume Medicago truncatula and its nitrogen-fixing symbiont Sinorhizobium meliloti. First, we reanalyzed data from 202 accessions to show significant genetic variation in the capacity of Medicago to restrict strain diversity, finding that hosts with shorter nodules were more selective. A genome-wide association study on host selectivity identified genes including the hormone leginsulin, pectin degradation, multidrug and toxic compound efflux, Zinc transport, and DNA methylation. Second, we used two well-studied Medicago genotypes with contrasting nodule morphologies to assess the effectiveness of adaptive enrichment mechanisms by sampling the relative frequencies of rhizobial strains in pools of small nodules (indicating a lack of host investment) compared to large nodules (indicating increased host investment) and pairing these results with previous single-strain assessments of strain benefits to hosts. While both hosts enriched beneficial strains in large nodules, the host that formed larger and more variably sized nodules and thus had greater potential to increase rhizobial populations was less effective. Our findings reveal that host genetic variation affects strain selectivity and suggest that nodule traits warrant attention when exploring mutualism evolution.

evolutionary biology↗

bioRxiv2024

The activity of soil microbial taxa in the rhizosphere predicts the success of root colonization

Plant-beneficial microbes have great potential to improve sustainability in agriculture. Still, managing beneficial microbes is challenging because the impact of microbial dormancy on community assembly across the soil, rhizosphere, and endosphere is poorly understood. We address this gap with the first documented use of Biorthogonal Non-Canonical Amino Acid Tagging (BONCAT) to probe active microbes in the soil-to-root gradient. Using nodule-forming legume Trifolium incarnatum, we confirmed that BONCAT is suitable for labeling endospheric microbes with microscopy. Next, we coupled BONCAT to Flow Cytometer Activated Cell Sorting (FACS) and 16S rRNA amplicon sequencing to probe patterns of microbial activity and the structure of the active microbial community across the soil, rhizosphere, root, and nodule with a native soil microbial community. As expected, we found x10 higher microbial activity in the endosphere than in the rhizosphere or bulk soil, likely due to increased plant resources. Finally, we revealed that microbial activity in the rhizosphere was significantly associated with successful endosphere colonization, more so than microbial abundance alone. This last finding has implications for the development of microbial inoculants, suggesting colonizing plant roots is linked to a microbes ability to overcome dormancy once deployed in the soil.

microbiology↗

bioRxiv2024

In multi-strain inoculations, mutation of Medicago symbiosis genes creates a complex selective landscape for naturally-occurring genetic variation in rhizobia

In the mutualism between leguminous plants and rhizobia bacteria, rhizobia live inside root nodules, creating potential for host genes to shape the rhizobial selective environment. Many host genes that affect symbiosis have been identified; however, the extent to which these genes affect selection acting on rhizobia is unknown. In this study, we inoculated 18 Medicago truncatula symbiotic mutants (including mutants that alter Nodule Cysteine-Rich (NCR) peptide production, plant defense, and nodule number regulation) with a mixture of 86 Sinorhizobium meliloti strains. Most mutations resulted in reduced host benefits, but the effects on rhizobial benefit (i.e., relative strain fitness) varied widely, revealing widespread host-by-strain fitness interactions. Genome-wide association analyses identified variants on rhizobial replicons pSymA and pSymB as important in mediating strain fitness responses to host mutations. Whereas most top variants affected rhizobial fitness with one host mutant (limited effect variants), nine affected fitness across six or more host mutations. These pervasive variants occurred primarily on pSymA, the symbiotic replicon, and include fixL and some metabolic genes. In contrast to the limited effect variants, variants with pervasive positive effects on strain fitness when host genes were mutated tended to adversely affect fitness in wild-type hosts. Competition assays across Medicago genotypes confirmed a pervasive role for one candidate (malonyl-CoA synthase), and AlphaFold multimer modelling suggests that many rhizobial top candidates could interact with host NCR peptides. Our results reveal how host genetic variation affects rhizobial fitness, setting the stage for improving rhizobial inoculants and breeding legume hosts better adapted to multi-strain environments.

evolutionary biology↗

bioRxiv2021

The genetic basis of cooperation and conflict in natural populations of a model symbiont

Given the need to predict the outcomes of (co)evolution in host-associated microbiomes, whether microbial and host fitnesses tend to trade off, generating conflict, remains a pressing question. Examining the relationships between host and microbe fitness proxies at both the phenotypic and genomic levels can illuminate the mechanisms underlying interspecies cooperation and conflict. We examined naturally-occurring genetic variation in 191 strains of the model microbial symbiont, Ensifer meliloti, paired with each of two host Medicago truncatula genotypes in single- or multi-strain experiments to determine how multiple proxies of microbial and host fitness were related to one another and test key predictions about mutualism evolution at the genomic scale, while also addressing the challenge of measuring microbial fitness. We found little evidence for interspecies fitness conflict; loci tended to have concordant effects on both microbe and host fitnesses, even in environments with multiple co-occurring strains. Our results emphasize the importance of quantifying microbial relative fitness for understanding microbiome evolution and thus harnessing microbiomes to improve host fitness. Additionally, we find that mutualistic coevolution between hosts and microbes acts to maintain, rather than erode, genetic diversity, potentially explaining why variation in mutualism traits persists in nature.

evolutionary biology↗

bioRxiv2020

Environment dependence of rhizobial relative fitness in the legume-rhizobia symbiosis

The environmental context of the nitrogen-fixing mutualism between leguminous plants and rhizobial bacteria varies over space and time. Variation in resource availability, population density, and composition likely affect the ecology and evolution of rhizobia and their symbiotic interactions with hosts. We examined how host genotype, nitrogen addition, rhizobial density, and community complexity affected selection on 68 rhizobia strains in the Ensifer meliloti - Medicago truncatula mutualism. As expected, the host genotype had the most substantial effect on the size, number, and strain composition of root nodules (the symbiotic organ). The understudied environmental variable of rhizobial density had a more significant effect on strain frequency in nodules than the addition of low nitrogen levels. Higher inoculum density resulted in a nodule community that was less diverse and more beneficial but only in the context of the more selective host genotype. Higher density resulted in more diverse and less beneficial nodule communities with the less selective host. Density effects on strain composition deserve additional scrutiny as they can create eco-evolutionary feedback. Lastly, we found that relative strain rankings were stable across increasing community complexity (community complexity (2, 3, 8, or 68 strains). This unexpected result suggests that higher-order interactions between strains are rare in the context of host nodule formation and development. Taken together, our empirical work highlights the importance of developing new theoretical predictions that incorporate density dependence. Further, it has translational relevance for overcoming establishment barriers in bio-inoculants and motivating host breeding programs that maintain beneficial plant-microbe interactions across diverse agro-ecological contexts. IMPORTANCELegume cash, forage, and cover crops establish beneficial associations with rhizobial bacteria who perform biological nitrogen fixation (BNF)--providing Nitrogen (N) fertilizer to plants without the economic and greenhouse gas emission costs of chemical N inputs. Here, for the first time, we examine the relative influence of three environmental factors that vary in agricultural fields on strain relative fitness in nodules when scores rhizobial strains compete. In addition to manipulating Nitrogen, we also use two biotic variables that have rarely been examined: the rhizobial communitys density and complexity. Taken together, our results suggest 1) breeding legume varieties that select beneficial strains despite environmental variation are possible, 2) changes in rhizobial population densities that occur routinely in agricultural fields could drive evolutionary changes in rhizobia populations, and 3) the lack of higher-order interactions between strains will allow the high-throughput assessments of rhizobia winners and losers during plant interactions.

ecology↗

bioRxiv2018

Identification of candidate genes underlying nodulation-specific phenotypes in Medicago truncatula through integration of genome-wide association studies and co-expression networks

Genome-wide association studies (GWAS) have proven to be a valuable approach for identifying genetic intervals associated with phenotypic variation in Medicago truncatula. These intervals can vary in size, depending on the historical local recombination near each significant interval. Typically, significant intervals span numerous gene models, limiting the ability to resolve high-confidence candidate genes underlying the trait of interest. Additional genomic data, including gene co-expression networks, can be combined with the genetic mapping information to successfully identify candidate genes. Co-expression network analysis provides information about the functional relationships of each gene through its similarity of expression patterns to other well-defined clusters of genes. In this study, we integrated data from GWAS and co-expression networks to pinpoint candidate genes that may be associated with nodule-related phenotypes in Medicago truncatula. We further investigated a subset of these genes and confirmed that several had existing evidence linking them nodulation, including MEDTR2G101090 (PEN3-like), a previously validated gene associated with nodule number.

systems biology↗