Abundant and active community members respond to diel cycles in hot spring phototrophic mats
Year: 2025
Type: article
Abstract: Photosynthetic microbial mats in hot springs can provide insights into the diel behaviors of communities in extreme environments. In this habitat, photosynthesis dominates during the day, leading to super-oxic conditions, with a rapid transition to fermentation and anoxia at night. Multiple samples were collected from two springs over several years to generate metagenomic and metatranscriptomic datasets. Metagenome-assembled genomes comprised 71 taxa (in 19 different phyla), of which 12 core taxa were present at high abundance in both springs. The eight most active taxa identified by metatranscriptomics were an oxygenic cyanobacterium (Synechococcus sp.), five anoxygenic phototrophs from three different phyla, and two understudied heterotrophs from phylum Armatimonadota. In all eight taxa, a significant fraction of genes exhibited a diel expression pattern, although peak timing varied considerably. The two abundant heterotrophs exhibit starkly different peak timing of expression, which we propose is shaped by their metabolic and genomic potential to use carbon sources that become differentially available during the diel cycle. Network analysis revealed pathway expression patterns that had not previously been linked to diel cycles, including ribosome biogenesis and chaperones. This provides a framework for analyzing metabolically coupled communities and the dominant role of the diel cycle.
Source: The ISME Journal
Institutions: Carnegie Institution for Science, Arc Research Institute
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,153
Awards: G1286236842, G1863003419, G3083819904, G419881185, G42916606, BBSRC-NSF/BIO: Collaborative Research: Focusing a quantitative lens on Synthetic Phototrophic Communities, G4501827968, G498139845, G6519249983, G7205239661, G834277795, MIM: Elucidating the Rules of Cooperation and Resiliency in Microbial Communities through Stochastic Graph Grammars, G969889393
OpenAlex ID: W4406169631
