Quantifying the changes in genetic diversity within sequence-discrete bacterial populations across a spatial and temporal riverine gradient

ISME J. 2019 Mar;13(3):767-779. doi: 10.1038/s41396-018-0307-6. Epub 2018 Nov 5.

Abstract

Recent diversity studies have revealed that microbial communities of natural environments are dominated by species-like, sequence-discrete populations. However, how stable the sequence and gene-content diversity are within these populations and especially in highly dynamic lotic habitats remain unclear. Here we quantified the dynamics of intra-population diversity in samples spanning two years and five sites in the Kalamas River (Northwest Greece). A significant positive correlation was observed between higher intra-population sequence diversity and longer persistence over time, revealing that more diverse populations tended to represent more autochthonous (vs. allochthonous) community members. Assessment of intra-population gene-content changes caused by strain replacement or gene loss over time revealed different profiles with the majority of populations exhibiting gene-content changes close to 10% of the total genes, while one population exhibited ~21% change. The variable genes were enriched in hypothetical proteins and mobile elements, and thus, were probably functionally neutral or attributable to phage predation. A few notable exceptions to this pattern were also noted such as phototrophy-related proteins in summer vs. winter populations. Taken together, these results revealed that some freshwater genomes are remarkably dynamic, even across short time and spatial scales, and have implications for the bacterial species concept and microbial source tracking.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bacteria / genetics*
  • Bacteria / isolation & purification
  • Bacterial Proteins / genetics
  • Ecosystem
  • Fresh Water / microbiology
  • Genetic Variation*
  • Genome, Bacterial / genetics*
  • Greece
  • Microbiota / genetics*
  • Rivers / microbiology*
  • Seasons
  • Time Factors

Substances

  • Bacterial Proteins