Differentiation of Rhizobium and phage communities. A and B PCoA plots illustrating the differences in chromosomal composition between Rhizobium communities across common bean populations based on Jaccard distances (presence-absence) and Bray-Curtis distances (relative abundance), respectively. D and E PCoA plots showing the differences in the phage genomic type composition between phage communities across common bean populations based

Differentiation of Rhizobium and phage communities. A and B PCoA plots illustrating the differences in chromosomal composition between Rhizobium communities across common bean populations based on Jaccard distances (presence-absence) and Bray-Curtis distances (relative abundance), respectively. D and E PCoA plots showing the differences in the phage genomic type composition between phage communities across common bean populations based

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Bacteriophages play significant roles in the composition, diversity, and evolution of bacterial communities. Despite their importance, it remains unclear how phage diversity and phage-host interactions are spatially structured. Local adaptation may play a key role. Nitrogen-fixing symbiotic bacteria, known as rhizobia, have been shown to locally ad...

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... first aim was to investigate whether the collected Rhizobium strains represent geographically structured populations. Phylogenetic analysis of the partial recA-dnaB sequences of 229 rhizobial strains identified R. etli as the predominant species at Mexican sampling sites (74.6%), while R. phaseoli was dominant in Argentina (80%) ( Fig. 1; Fig. S2a). According to the nucleotide variations in recA and dnaB, all of the isolated rhizobia were grouped into 41 chromosomal STs (Table S4). PERMANOVA tests employing two distance measures (Jaccard and Bray-Curtis) indicated that the rhizobial communities differed significantly in terms of genetic composition and the relative abundance of ...
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... and dnaB, all of the isolated rhizobia were grouped into 41 chromosomal STs (Table S4). PERMANOVA tests employing two distance measures (Jaccard and Bray-Curtis) indicated that the rhizobial communities differed significantly in terms of genetic composition and the relative abundance of genotypes (STs) among different bean fields and regions ( Fig. 2A-C; Table S4-S5). The geographic distance between the regions, represented by a PCNM vector, was correlated with the ST composition among the rhizobia isolated from the four common bean fields (Table S5). At the species level, R. etli and R. phaseoli STs differed significantly among the sites of origin of the common bean fields. Between ...
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... of the common bean fields. Between regions, only the R. etli populations differed in terms of the ST composition, whereas the R. phaseoli ST composition changed only marginally across regions (Table S5). The abundance of ST-5 in R. phaseoli, the only ST of the 41 total STs found across the four common bean fields, might explain this last result ( Fig. 2C; Table ...
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... phage families were present at the four sampling sites, but the Salta community was dominated by Myoviridae (69%) and the Chicoana community by Siphoviridae (62%) ( Fig. S2b; Table S7). The Microviridae family (F02), defined by small-genome phages (4.8-6.2 kb), was dominant in Tepoztlán (60%), whereas it showed low abundance or was absent in the other populations (0-23%; Table ...
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... the differences in the rhizobial ST composition per sampling site, we found that the composition of PGTs also differed significantly among common bean fields and regions (Fig. 2 D-F, Table S7). The differences were significantly correlated with geographic distance (Table S5). The phage communities were also significantly different between the Mexican bean fields within regions based on Jaccard distances (F 1,5 = 3.7, p = 0.024), but they were not significantly different between Mexican bean fields based on ...
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... 1,5 = 2.2, p = 0.149). Mantel tests showed that the genetic composition differences among phage communities were significantly correlated with the differences in the Rhizobium community genetic composition among bean fields (Table S5). Some PGTs coexisted at two of the sampling sites, whereas PGTs rarely coexisted at three sites and never at four (Fig. 2F). Moreover, 52% of the 29 PGTs occurred solely in one bean field, and 69% were restricted to a particular region. A spatial pattern distinction was also shown by the ANI values, as the average ANI of allopatric phages belonging to the same PGTs was 88%. In comparison, the average ANI of sympatric phages belonging to the same PGT was ...
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... RPGs were singletons, whereas 19 were formed by more than two strains (maximum of 40) (Table S3). Thirty-two RPGs belonged to R. etli, twelve RPGs corresponded to R. phaseoli (RPG 4, 13, 19, 20, 22, 23, 24, 27, 31, 32, 33 & 37), and the other four RPGs belonged to both species (RPG 1, 2, 6, and 11) most abundant RPGs (1-4) were composed of the frequently identified STs of R. phaseoli (ST-5) and R. etli (ST10 and ST34). We found that the RPG composition was strongly correlated with the ST composition (Table S8). ...

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Background The rhizosphere is a hotspot for microbial activity and contributes to ecosystem services including plant health and biogeochemical cycling. The activity of microbial viruses, and their influence on plant-microbe interactions in the rhizosphere, remains undetermined. Given the impact of viruses on the ecology and evolution of their host communities, determining how soil viruses influence microbiome dynamics is crucial to build a holistic understanding of rhizosphere functions. Results Here, we aimed to investigate the influence of crop management on the composition and activity of bulk soil, rhizosphere soil, and root viral communities. We combined viromics, metagenomics, and metatranscriptomics on soil samples collected from a 3-year crop rotation field trial of oilseed rape ( Brassica napus L.). By recovering 1059 dsDNA viral populations and 16,541 ssRNA bacteriophage populations, we expanded the number of underexplored Leviviricetes genomes by > 5 times. Through detection of viral activity in metatranscriptomes, we uncovered evidence of “Kill-the-Winner” dynamics, implicating soil bacteriophages in driving bacterial community succession. Moreover, we found the activity of viruses increased with proximity to crop roots, and identified that soil viruses may influence plant-microbe interactions through the reprogramming of bacterial host metabolism. We have provided the first evidence of crop rotation-driven impacts on soil microbial communities extending to viruses. To this aim, we present the novel principal of “viral priming,” which describes how the consecutive growth of the same crop species primes viral activity in the rhizosphere through local adaptation. Conclusions Overall, we reveal unprecedented spatial and temporal diversity in viral community composition and activity across root, rhizosphere soil, and bulk soil compartments. Our work demonstrates that the roles of soil viruses need greater consideration to exploit the rhizosphere microbiome for food security, food safety, and environmental sustainability.