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      Strain diversity and host specificity in bee gut symbionts revealed by deep sampling of single copy protein-coding sequences

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      1 , 1 , 1
      Molecular ecology

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          Abstract

          High throughput rRNA amplicon surveys of bacterial communities provide a rapid snapshot of taxonomic composition. But strains with nearly identical rRNA sequences often differ in gene repertoires and metabolic capabilities. To assess strain-level variation within Snodgrassella alvi, a gut symbiont of corbiculate bees, we performed deep sequencing on amplicons of a single copy coding gene ( minD) as well as the 16S rDNA V4 region. We surveyed honey bees ( Apis mellifera) sampled globally and 12 bumble bee species ( Bombus) sampled from two regions of the USA. The minD analyses reveal that S. alvi contains far more strain diversity than is evident from 16S rDNA analysis. Many taxa inferred on the basis of 16S rDNA are shared between A. mellifera and Bombus species, but taxa inferred on the basis of minD are never shared and often are restricted to particular Bombus species. Clustering based on minD revealed that gut communities often reflect host species and geographic location. Both minD and 16S rDNA analyses indicate that strain diversity is higher in A. mellifera than in Bombus species. The minD locus flanks a 16S gene, enabling development of strain-specific 16S fluorescent probes to illuminate the spatial relationship of strains within the bee gut.

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          Author and article information

          Journal
          9214478
          2614
          Mol Ecol
          Mol. Ecol.
          Molecular ecology
          0962-1083
          1365-294X
          10 October 2017
          06 September 2016
          September 2016
          20 October 2017
          : 25
          : 18
          : 4461-4471
          Affiliations
          [1 ]Department of Integrative Biology, University of Texas, NMS building, 2506 Speedway, A5000, Austin, TX 78712, USA
          Author notes
          [* ]Corresponding author ( eli.powell@ 123456utexas.edu )
          Article
          PMC5650064 PMC5650064 5650064 nihpa910192
          10.1111/mec.13787
          5650064
          27482856
          450b3fad-a88e-484a-bc09-35557d7992a3
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