期刊
RESEARCH IN MICROBIOLOGY
卷 164, 期 10, 页码 1045-1054出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.resmic.2013.08.006
关键词
Methanotroph; Microbial interaction; Predictive modelling
类别
资金
- Geconcerteerde Onderzoeksactie (GOA) of Ghent University [BOF09/GOA/005]
- Flemish Fund for Scientific Research [FWO11/PDO/084]
- Interuniversity Attraction Poles Program [P7/25]
- Ghent University MRP Bioinformatics
Methanotrophs can form the basis of a methane-driven food web on which heterotrophic microorganisms can feed. In return, these heterotrophs can stimulate growth of methanotrophs in co-culture by providing growth additives. However, only a few specific interactions are currently known. We incubated nine methanotrophs with 25 heterotrophic strains in a pairwise miniaturized co-cultivation setup. Through principal component analysis and k-means clustering, methanotrophs and heterotrophs could be grouped according to their interaction behaviour, suggesting strain-dependent methanotroph heterotroph complementarity. Co-cultivation significantly enhanced the growth parameters of three methanotrophs. This was most pronounced for Methylomonas sp. M5, with a threefold increase in maximum density and a fourfold increase in maximum increase in density in co-culture with Cupriavidus taiwanensis LMG 19424. In contrast, co-cultivation with Methylobacterium radiotolerans LMG 2269 and Pseudomonas aeruginosa LMG 12228 inhibited growth of most methanotrophs. Functional genomic analysis suggested the importance of vitamin metabolism for co-cultivation success. The generated data set was then successfully exploited as a proof-of-principle for predictive modelling of co-culture responses based on other interactions of the same heterotrophs and methanotrophs, yielding values of the area under the receiver operating characteristic curve of 0.73 upon 50% missing values for the maximum increase in density parameter. As such, these modelling-based tools were shown to hold great promise in reducing the amount of data that needs to be generated when conducting large co-cultivation studies. (C) 2013 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.
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