TitleGenomic and phenotypic differentiation among Methanosarcina mazei populations from Columbia River sediment.
Publication TypeJournal Article
Year of Publication2015
AuthorsYoungblut, ND
Secondary AuthorsWirth, JS, Henriksen, JR, Smith, M, Simon, H, Metcalf, WW, Whitaker, RJ
JournalISME J
Date Published2015 Mar 10
ISSN1751-7370
Abstract

Methanogenic archaea are genotypically and phenotypically diverse organisms that are integral to carbon cycling in anaerobic environments. Owing to their genetic tractability and ability to be readily cultivated, Methanosarcina spp. have become a powerful model system for understanding methanogen biology at the cellular systems level. However, relatively little is known of how genotypic and phenotypic variation is partitioned in Methanosarcina populations inhabiting natural environments and the possible ecological and evolutionary implications of such variation. Here, we have identified how genomic and phenotypic diversity is partitioned within and between Methanosarcina mazei populations obtained from two different sediment environments in the Columbia River Estuary (Oregon, USA). Population genomic analysis of 56 M. mazei isolates averaging <1% nucleotide divergence revealed two distinct clades, which we refer to as 'mazei-T' and 'mazei-WC'. Genomic analyses showed that these clades differed in gene content and fixation of allelic variants, which point to potential differences in primary metabolism and also interactions with foreign genetic elements. This hypothesis of niche partitioning was supported by laboratory growth experiments that revealed significant differences in trimethylamine utilization. These findings improve our understanding of the ecologically relevant scales of genomic variation in natural systems and demonstrate interactions between genetic and ecological diversity in these easily cultivable and genetically tractable model methanogens.The ISME Journal advance online publication, 10 March 2015; doi:10.1038/ismej.2015.31.

DOI10.1038/ismej.2015.31
Alternate JournalISME J
PubMed ID25756680
Department Authors: 
Joseph Wirth
Research Areas: 
Molecular Microbiology
Microbial Physiology
Bioinformatics and -omics/Computational Biology
Microbial Ecology