Environmental control on the distribution of metabolic strategies of benthic microbial mats in Lake Fryxell, Antarctica

• Published in: PLOS ONE
• Main Authors: Dillon, ML, Hawes, I, Jungblut, Anne D., Mackey, TJ, Eisen, JA, Doran, PT, Sumner, DY
• Format: Article in Journal/Newspaper
• Language: English
• Published: Public Library of Science (PLoS) 2020
• Subjects: Lakes; Photosynthesis; Phylogenetics; Microbial ecosystems; Oxygen; Marker genes; Sulfates; Nitrogen fixation; Dillon; Fryxell; Lake Fryxell; Antarc*; Antarctica
• Online Access: http://hdl.handle.net/10141/622719; https://doi.org/10.1371/journal.pone.0231053

na Ecological theories posit that heterogeneity in environmental conditions greatly affects community structure and function. However, the degree to which ecological theory developed using plant- and animal-dominated systems applies to microbiomes is unclear. Investigating the metabolic strategies found in microbiomes are particularly informative for testing the universality of ecological theories because microorganisms have far wider metabolic capacity than plants and animals. We used metagenomic analyses to explore the relationships between the energy and physicochemical gradients in Lake Fryxell and the metabolic capacity of its benthic microbiome. Statistical analysis of the relative abundance of metabolic marker genes and gene family diversity shows that oxygenic photosynthesis, carbon fixation, and flavin-based electron bifurcation differentiate mats growing in different environmental conditions. The pattern of gene family diversity points to the likely importance of temporal environmental heterogeneity in addition to resource gradients. Overall, we found that the environmental heterogeneity of photosynthetically active radiation (PAR) and oxygen concentration ([O2]) in Lake Fryxell provide the framework by which metabolic diversity and composition of the community is structured, in accordance with its phylogenetic structure. The organization of the resulting microbial ecosystems are consistent with the maximum power principle and the species sorting model. © 2020 Dillon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.