Literature DB >> 33167293

Microbial communities network analysis of anaerobic reactors fed with bovine and swine slurry.

Eliane Cristina Gruszka Vendruscolo1, Dany Mesa2, Daniel Vasconcelos Rissi3, Bruno Henrique Meyer4, Fábio de Oliveira Pedrosa2, Emanuel Maltempi de Souza2, Leonardo Magalhães Cruz5.   

Abstract

Anaerobic digestion can produce biogas as an eco-friendly energy source, driven by a microbial community-dependent process and, as such, suffer influences from many biotic and abiotic factors. Understanding the players and how they interact, the mechanisms involved, what the factors are, and how they influence the biogas process and production is an important way to better control it and make it more efficient. Metagenomic approach is a powerful tool to assess microbial diversity and further, allow correlating changes in microbial communities with multiple factors in virtually all environments. In the present study, we used metagenomic approach to assess microbial community structure changes in two biodigesters, differing in their biogas production capacity, architecture, and feed. A total of 1,440,096 reads of the 16S rRNA gene V4 region were obtained and analyzed. The main bacterial phyla were Firmicutes and Bacteroidetes in both biodigesters, but the biodiversity was greater in the Upflow Anaerobic Sludge Blanket (UASB) reactor fed with bovine manure than in the Continuous Stirred Tank Reactor (CSTR) fed with swine manure, which also correlated with an increase in biogas or methane production. Microbial community structure associated with biodigesters changed seasonally and depended on animal growth stage. Random forest algorithm analysis revealed key microbial taxa for each biodigester. Candidatus Cloacomonas, Methanospirillum, and Methanosphaera were the marker taxa for UASB and the archaea groups Methanobrevibacter and Candidatus Methanoplasma were the marker taxa for CSTR. A high abundance of Candidatus Methanoplasma and Marinimicrobia SAR406 clade suggested lower increments in methane production. Network analysis pointed to negative and positive associations and specific key groups, essential in maintaining the anaerobic digestion (AD) process, as being uncultured Parcubacteria bacteria, Candidatus Cloacomonas, and Candidatus Methanoplasma groups, whose functions in AD require investigation.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  16S rRNA gene; Biogas; Machine learning; Microbial communities

Mesh:

Substances:

Year:  2020        PMID: 33167293     DOI: 10.1016/j.scitotenv.2020.140314

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Effects of Co-application of Cadmium-Immobilizing Bacteria and Organic Fertilizers on Houttuynia cordata and Microbial Communities in a Cadmium-Contaminated Field.

Authors:  Xiumei Yu; Min Yan; Yongliang Cui; Zhongyi Liu; Han Liu; Jie Zhou; Jiahao Liu; Lan Zeng; Qiang Chen; Yunfu Gu; Likou Zou; Ke Zhao; Quanju Xiang; Menggen Ma; Shuangcheng Li
Journal:  Front Microbiol       Date:  2022-05-06       Impact factor: 6.064

Review 2.  Studying Microbial Communities through Co-Occurrence Network Analyses during Processes of Waste Treatment and in Organically Amended Soils: A Review.

Authors:  José A Siles; Mercedes García-Sánchez; María Gómez-Brandón
Journal:  Microorganisms       Date:  2021-05-28
  2 in total

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