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Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations.
Bendall, Matthew L; Stevens, Sarah Lr; Chan, Leong-Keat; Malfatti, Stephanie; Schwientek, Patrick; Tremblay, Julien; Schackwitz, Wendy; Martin, Joel; Pati, Amrita; Bushnell, Brian; Froula, Jeff; Kang, Dongwan; Tringe, Susannah G; Bertilsson, Stefan; Moran, Mary A; Shade, Ashley; Newton, Ryan J; McMahon, Katherine D; Malmstrom, Rex R.
Affiliation
  • Bendall ML; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Stevens SL; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
  • Chan LK; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Malfatti S; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Schwientek P; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Tremblay J; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Schackwitz W; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Martin J; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Pati A; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Bushnell B; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Froula J; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Kang D; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Tringe SG; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Bertilsson S; Department of Ecology and Genetics, Limnology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
  • Moran MA; Department of Marine Sciences, University of Georgia, Athens, GA, USA.
  • Shade A; Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, USA.
  • Newton RJ; School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • McMahon KD; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
  • Malmstrom RR; Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, USA.
ISME J ; 10(7): 1589-601, 2016 07.
Article in En | MEDLINE | ID: mdl-26744812
ABSTRACT
Multiple models describe the formation and evolution of distinct microbial phylogenetic groups. These evolutionary models make different predictions regarding how adaptive alleles spread through populations and how genetic diversity is maintained. Processes predicted by competing evolutionary models, for example, genome-wide selective sweeps vs gene-specific sweeps, could be captured in natural populations using time-series metagenomics if the approach were applied over a sufficiently long time frame. Direct observations of either process would help resolve how distinct microbial groups evolve. Here, from a 9-year metagenomic study of a freshwater lake (2005-2013), we explore changes in single-nucleotide polymorphism (SNP) frequencies and patterns of gene gain and loss in 30 bacterial populations. SNP analyses revealed substantial genetic heterogeneity within these populations, although the degree of heterogeneity varied by >1000-fold among populations. SNP allele frequencies also changed dramatically over time within some populations. Interestingly, nearly all SNP variants were slowly purged over several years from one population of green sulfur bacteria, while at the same time multiple genes either swept through or were lost from this population. These patterns were consistent with a genome-wide selective sweep in progress, a process predicted by the 'ecotype model' of speciation but not previously observed in nature. In contrast, other populations contained large, SNP-free genomic regions that appear to have swept independently through the populations prior to the study without purging diversity elsewhere in the genome. Evidence for both genome-wide and gene-specific sweeps suggests that different models of bacterial speciation may apply to different populations coexisting in the same environment.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Genome, Bacterial / Polymorphism, Single Nucleotide / Metagenomics Type of study: Prognostic_studies Language: En Journal: ISME J Journal subject: MICROBIOLOGIA / SAUDE AMBIENTAL Year: 2016 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Genome, Bacterial / Polymorphism, Single Nucleotide / Metagenomics Type of study: Prognostic_studies Language: En Journal: ISME J Journal subject: MICROBIOLOGIA / SAUDE AMBIENTAL Year: 2016 Document type: Article Affiliation country: United States
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