Metagenomics reveals niche partitioning within the phototrophic zone of a microbial mat
Author(s) -
Jackson Z. Lee,
R. Craig Everroad,
Ulaş Karaöz,
Angela M. Detweiler,
Jennifer PettRidge,
Peter Weber,
Leslie PrufertBebout,
Brad M. Bebout
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0202792
Subject(s) - metagenomics , microbial mat , phototroph , biology , bacteroidetes , anoxygenic photosynthesis , proteobacteria , ecology , gammaproteobacteria , microbial ecology , microbial population biology , biogeochemical cycle , alphaproteobacteria , cyanobacteria , ecosystem , botany , photosynthesis , 16s ribosomal rna , gene , genetics , bacteria
Hypersaline photosynthetic microbial mats are stratified microbial communities known for their taxonomic and metabolic diversity and strong light-driven day-night environmental gradients. In this study of the upper photosynthetic zone of hypersaline microbial mats of Elkhorn Slough, California (USA), we show how metagenome sequencing can be used to meaningfully assess microbial ecology and genetic partitioning in these complex microbial systems. Mapping of metagenome reads to the dominant Cyanobacteria observed in the system, Coleofasciculus (Microcoleus) chthonoplastes , was used to examine strain variants within these metagenomes. Highly conserved gene subsystems indicated a core genome for the species, and a number of variant genes and subsystems suggested strain level differentiation, especially for nutrient utilization and stress response. Metagenome sequence coverage binning was used to assess ecosystem partitioning of remaining microbes to both reconstruct the model organisms in silico and identify their ecosystem functions as well as to identify novel clades and propose their role in the biogeochemical cycling of mats. Functional gene annotation of these bins (primarily of Proteobacteria , Bacteroidetes , and Cyanobacteria ) recapitulated the known biogeochemical functions in microbial mats using a genetic basis, and revealed significant diversity in the Bacteroidetes , presumably in heterotrophic cycling. This analysis also revealed evidence of putative phototrophs within the Gemmatimonadetes and Gammaproteobacteria residing in microbial mats. This study shows that metagenomic analysis can produce insights into the systems biology of microbial ecosystems from a genetic perspective and to suggest further studies of novel microbes.
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