https://doi.org/10.4081/jlimnol.2023.2152
The prevalence of Atribacteria affiliated with JS1 in the sediment core of Lake Sayram, the largest alpine lake, China
Submitted: 28 July 2023
Accepted: 27 October 2023
Published: 20 November 2023
Accepted: 27 October 2023
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Atribacteria play an important role in global carbon cycling. Little is known, however, about the Atribacteria communities found in
alpine lakes. The presence and diversity of Atribacteria in the sediment core of alpine Sayram lake in China were investigated using
Illumina MiSeq sequencing in this study. According to the findings, Atribacteria affiliated with JS1 were dominant in the sediment core
of Sayram Lake, with a relative abundance of 0.19 to 10% (average 3.75%) of all bacterial sequences. Furthermore, the relative
abundance of Atribacteria associated with JS1 increased with sediment depth. As a result, this study significantly contributes to our
understanding of Atribacteria community habitat.
Biddanda BA, 2017. Global significance of the changing freshwater carbon cycle. Eos 98.
DOI: https://doi.org/10.1029/2017EO069751
Carr SA, Orcutt BN, Mandernack KW, Spear JR, 2015. Abundant atribacteria in deep marine sediment from the Adélie Basin, Antarctica. Front Microbiol 6:872.
DOI: https://doi.org/10.3389/fmicb.2015.00872
Christense H, 2018. Introduction to bioinformatics in microbiology. Springer, Cham: 213 pp.
DOI: https://doi.org/10.1007/978-3-319-99280-8
Cole JJ, Prairie YT, Caraco NF, Mcdowell WH, Tranvik LJ, Striegl RG, et al., 2007. Plumbing the global carbon cycle: Integrating inland waters into the terrestrial carbon budget. Ecosystems 10:172-185.
DOI: https://doi.org/10.1007/s10021-006-9013-8
Edgar RC, 2010. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26: 2460-2461.
DOI: https://doi.org/10.1093/bioinformatics/btq461
Edgar RC, 2013. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods 10:996-998.
DOI: https://doi.org/10.1038/nmeth.2604
Hernández-Torres J, Castillo Villamizar GA, Salgar-Chaparro SJ, Silva-Plata BA, Serna Daza OD, Martínez-Pérez F, et al., 2015. Prokaryotic community characterization in a mesothermic and waterflooded oil reservoir in Colombia. Geomicrobiol J 33:110-7.
DOI: https://doi.org/10.1080/01490451.2015.1039674
Hoshino T, Doi H, Uramoto GI, Wörmer L, Adhikari RR, Xiao N, et al., 2020. Global diversity of microbial communities in marine sediment. P Natl Acad Sci USA 117:27587-27597.
DOI: https://doi.org/10.1073/pnas.1919139117
Kleindienst S, Herbst FA, Stagars M, von Netzer F, von Bergen M, Seifert J, et al., 2014. Diverse sulfate-reducing bacteria of the Desulfosarcina/Desulfococcus clade are the key alkane degraders at marine seeps. ISME J 8:1-16.
DOI: https://doi.org/10.1038/ismej.2014.51
Lee YM, Hwang K, Lee JI, Kim M, Hwang CY, Noh HJ, et al., 2018. Genomic insight into the predominance of candidate phylum Atribacteria JS1 lineage in marine sediments. Front Microbiol 9:2909.
DOI: https://doi.org/10.3389/fmicb.2018.02909
Liu ZL, Liu YF, Lin DD, Zhou L, Mu BZ, 2021. [Environmental distribution and functions of the Atribacteria].[Article in Chinese]. Acta Microbiol Sinica 61:1416-1427.
Nobu MK, Dodsworth J, Murugapiran SK, Rinke C, Gies E, Webster G, et al., 2016. Phylogeny and physiology of candidate phylum ‘Atribacteria’ (OP9/JS1) inferred from cultivation-independent genomics. ISME J 10:273-286.
DOI: https://doi.org/10.1038/ismej.2015.97
Rinke C, Schwientek P, Sczyrba A, Ivanova NN, Anderson IJ, Cheng JF, et al., 2013. Insights into the phylogeny and coding potential of microbial dark matter. Nature 499:431-437.
DOI: https://doi.org/10.1038/nature12352
Toth CRA, Gieg LM, 2018. Time course-dependent methanogenic crude oil biodegradation: dynamics of fumarate addition metabolites, biodegradative genes, and microbial community composition. Front Microbiol 8:1-16.
DOI: https://doi.org/10.3389/fmicb.2017.02610
Vick TJ, Dodsworth JA, Costa KC, Shock EL, Hedlund BP, 2010. Microbiology and geochemistry of Little Hot Creek, a hot spring environment in the Long Valley Caldera. Geobiology 8:140-154.
DOI: https://doi.org/10.1111/j.1472-4669.2009.00228.x
Vigneron A, Alsop EB, Cruaud P, Philibert G, King B, Baksmaty L, et al., 2017. Comparative metagenomics of hydrocarbon and methane seeps of the Gulf of Mexico. Sci Rep 7:16015.
DOI: https://doi.org/10.1038/s41598-017-16375-5
Wang LY, Ke WJ, Sun XB, Liu JF, Gu JD, Mu BZ, 2014. Comparison of bacterial community in aqueous and oil phases of water-flooded petroleum reservoirs using pyrosequencing and clone library approaches. Appl Microbiol Biotechnol 98:4209-4221.
DOI: https://doi.org/10.1007/s00253-013-5472-y
Zeng J, Deng LJ, Lou K, Zhang T, Yang HM, Shi YW, et al., 2014. Molecular characterization of the planktonic microorganisms in water of two mountain brackish lakes. J Basic Microbiol 54:509-520.
DOI: https://doi.org/10.1002/jobm.201300187
Edited by
Ester Eckert, National Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza, ItalySupporting Agencies
National Natural Science Foundation of ChinaHow to Cite
Shao, Keqiang, Tunasheng Ba, Boqiang Qin, Jianying Chao, and Guang Gao. 2023. “The Prevalence of Atribacteria Affiliated With JS1 in the Sediment Core of Lake Sayram, the Largest Alpine Lake, China”. Journal of Limnology 82 (1). https://doi.org/10.4081/jlimnol.2023.2152.
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