Identification of syntrophic acetate-oxidizing bacteria in anaerobic digesters by combined protein-based stable isotope probing and metagenomics

被引:124
作者
Mosbaek, Freya [1 ]
Kjeldal, Henrik [1 ]
Mulat, Daniel G. [2 ]
Albertsen, Mads [1 ]
Ward, Alastair J. [2 ]
Feilberg, Anders [2 ]
Nielsen, Jeppe L. [1 ]
机构
[1] Aalborg Univ, Dept Chem & Biosci, Fredrik Bajers Vej 7H, DK-9220 Aalborg, Denmark
[2] Aarhus Univ, Dept Engn, Aarhus, Denmark
关键词
COENZYME M-REDUCTASE; MICROBIAL COMMUNITY; SP NOV; METHANOGENIC PATHWAY; GEN; NOV; SCALE; INHIBITION; PROTEOMICS; MANURE; METHANOSARCINA;
D O I
10.1038/ismej.2016.39
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Inhibition of anaerobic digestion through accumulation of volatile fatty acids occasionally occurs as the result of unbalanced growth between acidogenic bacteria and methanogens. A fast recovery is a prerequisite for establishing an economical production of biogas. However, very little is known about the microorganisms facilitating this recovery. In this study, we investigated the organisms involved by a novel approach of mapping protein-stable isotope probing (protein-SIP) onto a binned metagenome. Under simulation of acetate accumulation conditions, formations of C-13-labeled CO2 and CH4 were detected immediately following incubation with [U-C-13] acetate, indicating high turnover rate of acetate. The identified C-13-labeled peptides were mapped onto a binned metagenome for improved identification of the organisms involved. The results revealed that Methanosarcina and Methanoculleus were actively involved in acetate turnover, as were five subspecies of Clostridia. The acetateconsuming organisms affiliating with Clostridia all contained the FTFHS gene for formyltetrahydrofolate synthetase, a key enzyme for reductive acetogenesis, indicating that these organisms are possible syntrophic acetate-oxidizing (SAO) bacteria that can facilitate acetate consumption via SAO, coupled with hydrogenotrophic methanogenesis (SAO-HM). This study represents the first study applying protein-SIP for analysis of complex biogas samples, a promising method for identifying key microorganisms utilizing specific pathways.
引用
收藏
页码:2405 / 2418
页数:14
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