Unraveling the stratification of an iron-oxidizing microbial mat by metatranscriptomics

PLoS One. 2014 Jul 17;9(7):e102561. doi: 10.1371/journal.pone.0102561. eCollection 2014.

Abstract

A metatranscriptomic approach was used to study community gene expression in a naturally occurring iron-rich microbial mat. Total microbial community RNA was reversely transcribed and sequenced by pyrosequencing. Characterization of expressed gene sequences provided accurate and detailed information of the composition of the transcriptionally active community and revealed phylogenetic and functional stratifications within the mat. Comparison of 16S rRNA reads and delineation of OTUs showed significantly lower values of metatranscriptomic-based richness and diversity in the upper parts of the mat than in the deeper regions. Taxonomic affiliation of rRNA sequences and mRNA genome recruitments indicated that iron-oxidizing bacteria affiliated to the genus Leptothrix, dominated the community in the upper layers of the mat. Surprisingly, type I methanotrophs contributed to the majority of the sequences in the deep layers of the mat. Analysis of mRNA expression patterns showed that genes encoding the three subunits of the particulate methane monooxygenase (pmoCAB) were the most highly expressed in our dataset. These results provide strong hints that iron-oxidation and methane-oxidation occur simultaneously in microbial mats and that both groups of microorganisms are major players in the functioning of this ecosystem.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Archaea / genetics*
  • Base Sequence
  • Biodiversity
  • Ecosystem
  • Gene Expression Profiling
  • Iron / metabolism*
  • Leptothrix / genetics*
  • Methane / metabolism*
  • Microbial Consortia / genetics
  • Oxidation-Reduction
  • Oxygenases / genetics*
  • Phylogeny
  • RNA, Ribosomal, 16S / genetics
  • Sequence Analysis, RNA

Substances

  • RNA, Ribosomal, 16S
  • Iron
  • Oxygenases
  • methane monooxygenase
  • Methane

Associated data

  • SRA/PRJEB5474

Grants and funding

This work was supported by funding from the INSU-CNRS EC2CO program, a grant from the University of Rennes/CNRS, from the council of “Region Bretagne” and from the “Observatoire des Sciences de l’Univers de Rennes” to A.Q. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.