Literature DB >> 34668130

Genomic and transcriptomic dissection of Theionarchaea in marine ecosystem.

Mingwei Cai1, Changhai Duan1,2, Xinxu Zhang1, Jie Pan1, Yang Liu1, Cuijing Zhang1, Meng Li3,4.   

Abstract

Theionarchaea is a recently described archaeal class within the Euryarchaeota. While it is widely distributed in sediment ecosystems, little is known about its metabolic potential and ecological features. Here, we used metagenomics and metatranscriptomics to characterize 12 theionarchaeal metagenome-assembled genomes, which were further divided into two subgroups, from coastal mangrove sediments of China and seawater columns of the Yap Trench. Genomic analysis revealed that apart from the canonical sulfhydrogenase, Theionarchaea harbor genes encoding heliorhodopsin, group 4 [NiFe]-hydrogenase, and flagellin, in which genes for heliorhodopsin and group 4 [NiFe]-hydrogenase were transcribed in mangrove sediment. Further, the theionarchaeal substrate spectrum may be broader than previously reported as revealed by metagenomics and metatranscriptomics, and the potential carbon substrates include detrital proteins, hemicellulose, ethanol, and CO2. The genes for organic substrate metabolism (mainly detrital protein and amino acid metabolism genes) have relatively higher transcripts in the top sediment layers in mangrove wetlands. In addition, co-occurrence analysis suggested that the degradation of these organic compounds by Theionarchaea might be processed in syntrophy with fermenters (e.g., Chloroflexi) and methanogens. Collectively, these observations expand the current knowledge of the metabolic potential of Theionarchaea, and shed light on the metabolic strategies and roles of these archaea in the marine ecosystems.
© 2021. Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Theionarchaea; ecological roles; metabolic potentials; metagenome; metatranscriptome

Mesh:

Substances:

Year:  2021        PMID: 34668130     DOI: 10.1007/s11427-021-1996-x

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   10.372


  81 in total

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