4.8 Article

MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations

期刊

MICROBIOME
卷 10, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s40168-022-01231-0

关键词

Metagenomes; Visualization; SNP profiling; Community ecology; Population genetics; Macrodiversity; Microdiversity; Phage; Microbes; Ecogenomics

资金

  1. Gordon and Betty Moore Foundation [3790]
  2. U.S. Department of Energy [DE-SC0020173]
  3. US National Science Foundation [1536989, 1829831, 1759874, 1759831]
  4. National Institutes of Health [AI112542]
  5. U.S. Department of Energy (DOE) [DE-SC0020173] Funding Source: U.S. Department of Energy (DOE)
  6. Directorate For Geosciences
  7. Division Of Ocean Sciences [1829831] Funding Source: National Science Foundation
  8. Div Of Biological Infrastructure
  9. Direct For Biological Sciences [1759831, 1759874] Funding Source: National Science Foundation

向作者/读者索取更多资源

The article introduces an open-source bioinformatic pipeline called MetaPop for analyzing and visualizing microbial and viral community metagenomes at both macro- and microdiversity levels. By quantifying microdiversity, it was found that autistic children had lower viral nucleotide diversity and rectally delivered FMT may influence viral activity and engraftment of microdiverse viral populations.
Background: Microbes and their viruses are hidden engines driving Earth's ecosystems from the oceans and soils to humans and bioreactors. Though gene marker approaches can now be complemented by genome-resolved studies of inter-(macrodiversity) and intra-(microdiversity) population variation, analytical tools to do so remain scattered or under-developed. Results: Here, we introduce MetaPop, an open-source bioinformatic pipeline that provides a single interface to analyze and visualize microbial and viral community metagenomes at both the macro- and microdiversity levels. Macrodiversity estimates include population abundances and alpha- and beta-diversity. Microdiversity calculations include identification of single nucleotide polymorphisms, novel codon-constrained linkage of SNPs, nucleotide diversity (pi and theta), and selective pressures (pN/pS and Tajima's D) within and fixation indices (F-ST) between populations. MetaPop will also identify genes with distinct codon usage. Following rigorous validation, we applied MetaPop to the gut viromes of autistic children that underwent fecal microbiota transfers and their neurotypical peers. The macrodiversity results confirmed our prior findings for viral populations (microbial shotgun metagenomes were not available) that diversity did not significantly differ between autistic and neurotypical children. However, by also quantifying microdiversity, MetaPop revealed lower average viral nucleotide diversity (pi) in autistic children. Analysis of the percentage of genomes detected under positive selection was also lower among autistic children, suggesting that higher viral pi in neurotypical children may be beneficial because it allows populations to better bet hedge in changing environments. Further, comparisons of microdiversity pre- and post-FMT in autistic children revealed that the delivery FMT method (oral versus rectal) may influence viral activity and engraftment of microdiverse viral populations, with children who received their FMT rectally having higher microdiversity post-FMT. Overall, these results show that analyses at the macro level alone can miss important biological differences. Conclusions: These findings suggest that standardized population and genetic variation analyses will be invaluable for maximizing biological inference, and MetaPop provides a convenient tool package to explore the dual impact of macro- and microdiversity across microbial communities.

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