Rhizobia supply legumes with fixed nitrogen using a set of symbiosis genes. These can cross rhizobium species boundaries, but it is unclear how many other genes show similar mobility. Here, we investigate inter-species introgression using de novo assembly of 196 Rhizobium leguminosarum sv. trifolii genomes. The 196 strains constituted a five-species complex, and we calculated introgression scores based on gene-tree traversal to identify 171 genes that frequently cross species boundaries. Rather than relying on the gene order of a single reference strain, we clustered the introgressing genes into four blocks based on population structure-corrected linkage disequilibrium patterns. The two largest blocks comprised 125 genes and included the symbiosis genes, a smaller block contained 43 mainly chromosomal genes, and the last block consisted of three genes with variable genomic location. All introgression events were likely mediated by conjugation, but only the genes in the symbiosis linkage blocks displayed overrepresentation of distinct, high-frequency haplotypes. The three genes in the last block were core genes essential for symbiosis that had, in some cases, been mobilized on symbiosis plasmids. Inter-species introgression is thus not limited to symbiosis genes and plasmids, but other cases are infrequent and show distinct selection signatures.
Sequencing and PCR errors are a major challenge when characterizing genetic diversity using high‐throughput amplicon sequencing (HTAS). We have developed a multiplexed HTAS method, MAUI‐seq, which uses unique molecular identifiers (UMIs) to improve error correction by exploiting variation among sequences associated with a single UMI. Erroneous sequences are recognized because, across the data set, they are over‐represented among the minor sequences associated with UMIs. We show that two main advantages of this approach are efficient elimination of chimeric and other erroneous reads, outperforming dada2 and unoise3, and the ability to confidently recognize genuine alleles that are present at low abundance or resemble chimeras. The method provides sensitive and flexible profiling of diversity and is readily adaptable to most HTAS applications, including microbial 16S rRNA profiling and metabarcoding of environmental DNA.
BackgroundGene transfer between bacterial species is an important mechanism for adaptation. For example, sets of genes that confer the ability to form nitrogen-fixing root nodules on host plants have frequently moved between Rhizobium species. It is not clear, though, whether such transfer is exceptional, or if frequent inter-species introgression is typical. To address this, we sequenced the genomes of 196 isolates of the Rhizobium leguminosarum species complex obtained from root nodules of white clover (Trifolium repens).ResultsCore gene phylogeny placed the isolates into five distinct genospecies that show high intra-genospecies recombination rates and remarkably different demographic histories. Most gene phylogenies were largely concordant with the genospecies, indicating that recent gene transfer between genospecies was rare. In contrast, very similar symbiosis gene sequences were found in two or more genospecies, suggesting recent horizontal transfer. The replication and conjugative transfer genes of the plasmids carrying the symbiosis genes showed a similar pattern, implying that introgression occurred by conjugative plasmid transfer. The only other regions that showed strong phylogenetic discordance with the genospecies classification were two small chromosomal clusters, one neighbouring a conjugative transfer system. Phage-related sequences were observed in the genomes, but appeared to have very limited impact on introgression.ConclusionsIntrogression among these closely-related species has been very limited, confined to the symbiosis plasmids and a few chromosomal islands. Both introgress through conjugative transfer, but have been subject to different types of selective forces.
1 Background: Sequencing and PCR errors are a major challenge when characterising genetic 2 diversity using high-throughput amplicon sequencing (HTAS). 3 4 Results: We have developed a multiplexed HTAS method, MAUI-seq, which uses unique 5 molecular identifiers (UMIs) to improve error correction by exploiting variation among 6 sequences associated with a single UMI. We show that two main advantages of this approach 7 are efficient elimination of chimeric and other erroneous reads, outperforming DADA2 and 8 UNOISE3, and the ability to confidently recognise genuine alleles that are present at low 9 abundance or resemble chimeras. 10 11 Conclusions:The method provides sensitive and flexible profiling of diversity and is readily 12 adaptable to most HTAS applications, including microbial 16S rRNA profiling and 13 metabarcoding of environmental DNA. 14
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