Finding Functional Differences Between Species in a Microbial Community: Case Studies in Wine Fermentation and Kefir Culture
Finding Functional Differences Between Species in a Microbial Community: Case Studies in Wine Fermentation and Kefir Culture
复制标题
寻找微生物群落中物种之间的功能差异:葡萄酒发酵和开菲尔培养的案例研究
DOI:
10.3389/fmicb.2019.01347
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发表时间:
2019
影响因子:
5.2
通讯作者:
D. Molenaar
中科院分区:
文献类型:
--
作者:
Chrats Melkonian;W. Gottstein;Sonja Blasche;Yongkyu Kim;Martin Abel;H. Swiegers;S. Saerens;N. Edwards;K. Patil;B. Teusink;D. Molenaar
Microbial life usually takes place in a community where individuals interact, by competition for nutrients, cross-feeding, inhibition by end-products, but also by their spatial distribution. Lactic acid bacteria are prominent members of microbial communities responsible for food fermentations. Their niche in a community depends on their own properties as well as those of the other species. Here, we apply a computational approach, which uses only genomic and metagenomic information and functional annotation of genes, to find properties that distinguish a species from others in the community, as well as to follow individual species in a community. We analyzed isolated and sequenced strains from a kefir community, and metagenomes from wine fermentations. We demonstrate how the distinguishing properties of an organism lead to experimentally testable hypotheses concerning the niche and the interactions with other species. We observe, for example, that L. kefiranofaciens, a dominant organism in kefir, stands out among the Lactobacilli because it potentially has more amino acid auxotrophies. Using metagenomic analysis of industrial wine fermentations we investigate the role of an inoculated L. plantarum in malolactic fermentation. We observed that L. plantarum thrives better on white than on red wine fermentations and has the largest number of phosphotransferase system among the bacteria observed in the wine communities. Also, L. plantarum together with Pantoea, Erwinia, Asaia, Gluconobacter, and Komagataeibacter genera had the highest number of genes involved in biosynthesis of amino acids.
影响因子:
5.6
作者:
Zomorrodi AR;Segrè D
通讯作者:
Segrè D
DOI:
--
发表时间:
--
期刊:
--
影响因子:
--
作者:
Systems Biology
通讯作者:
Systems Biology
影响因子:
8.8
作者:
Harcombe WR;Riehl WJ;Dukovski I;Granger BR;Betts A;Lang AH;Bonilla G;Kar A;Leiby N;Mehta P;Marx CJ;Segrè D
通讯作者:
Segrè D