Novel microbial syntrophies identified by longitudinal metagenomics
Novel microbial syntrophies identified by longitudinal metagenomics
复制标题
通过纵向宏基因组学鉴定的新型微生物互养体
DOI:
10.1101/2021.07.05.451125
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Raguideau S
中科院分区:
文献类型:
--
作者:
Raguideau S
Identifying species interactions in a microbial community and how this relates to community function is a key challenge. Towards addressing this challenge, we present here an extensive genome-resolved, longitudinal dataset and associated metadata. We collected weekly samples of microbial communities and recorded operating conditions from industrial methane producing anaerobic digestion reactors for a year. This allowed us to recover 2240 dereplicated metagenome assembled genomes (dMAGs), together with their coverage dynamics and functional annotations from which functional traits were inferred. Of these dMAGs, 1910 were novel species, with 22 representing novel orders and classes. Methanogenic communities are expected to be strongly structured by syntrophic and other associations between the methanogens and syntrophs that produce their substrates. We identified 450 potential syntrophic dMAGs by searching for pairs of methanogenic and non-methanogenic dMAGs that had highly correlated time-series. Genomes of potential syntrophs were enriched for oxidoreductases and sugar transport genes and there was a strong taxonomic signal in their associations with methanogens. Of particular note, we found that Bathyarchaeiea associated specifically with methanogens from the Thermoplasmata, and Thermococci classes. Same syntrophic associations were only rarely observed across multiple reactors, suggesting that syntrophies might be facultative, with particular strains within a species forming syntrophic associations only sometimes and not necessarily always with the same methanogenic partner. The presented results show that longitudinal metagenomics is a highly valuable approach for identifying species and their interactions in microbial communities.One Sentence SummaryLongitudinal study of microbial communities identifies novel species and predicts their interactions and role in community function.
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影响因子:
15.5
作者:
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通讯作者:
Wilkins MJ
影响因子:
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DOI:
10.1099/ijs.0.000065
发表时间:
2015-04-01
影响因子:
2.8
作者:
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通讯作者:
Lukaszewicz, Marcin
影响因子:
3.3
作者:
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通讯作者:
Łukaszewicz Marcin