Literature DB >> 24080290

Substrate induced emergence of different active bacterial and archaeal assemblages during biomethane production.

Xiaoying Lu1, Subramanya Rao, Zhiyong Shen, Patrick K H Lee.   

Abstract

This study analyzed the composition of a methane-generating microbial community and the corresponding active members during the transformation of three target substrates (food waste, cellulose or xylan) by barcoded 454 pyrosequencing of the bacterial and archaeal 16S rRNA genes in the DNA and RNA. The number of operational taxonomic units at 97% similarity for bacteria and archaea ranged from 162-261 and 31-166, respectively. Principal coordinates analysis and Venn diagram revealed that there were significant differences in the microbial community structure between the active members transforming each substrate and the inoculum. The active bacterial populations detected were those required for the hydrolysis of the amended substrate. The active archaeal populations were methanogens but the ratio of Methanosarcinales and Methanomicrobiales varied between the cultures. Overall, results of this study showed that a subset of the populations became active and altered in relative abundance during methane production according to the amended substrate.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  16S rRNA gene; Amplicon pyrosequencing; Anaerobic digestion; Biomethane; Microbial community

Mesh:

Substances:

Year:  2013        PMID: 24080290     DOI: 10.1016/j.biortech.2013.09.017

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  8 in total

1.  Pyrosequencing of mcrA and archaeal 16S rRNA genes reveals diversity and substrate preferences of methanogen communities in anaerobic digesters.

Authors:  David Wilkins; Xiao-Ying Lu; Zhiyong Shen; Jiapeng Chen; Patrick K H Lee
Journal:  Appl Environ Microbiol       Date:  2014-11-07       Impact factor: 4.792

2.  Long-Term Enrichment on Cellulose or Xylan Causes Functional and Taxonomic Convergence of Microbial Communities from Anaerobic Digesters.

Authors:  Yangyang Jia; David Wilkins; Hongyuan Lu; Mingwei Cai; Patrick K H Lee
Journal:  Appl Environ Microbiol       Date:  2015-12-28       Impact factor: 4.792

3.  Noteworthy Facts about a Methane-Producing Microbial Community Processing Acidic Effluent from Sugar Beet Molasses Fermentation.

Authors:  Aleksandra Chojnacka; Paweł Szczęsny; Mieczysław K Błaszczyk; Urszula Zielenkiewicz; Anna Detman; Agnieszka Salamon; Anna Sikora
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

4.  Physiological and Metagenomic Characterizations of the Synergistic Relationships between Ammonia- and Nitrite-Oxidizing Bacteria in Freshwater Nitrification.

Authors:  Mingwei Cai; Siu-Kin Ng; Chee Kent Lim; Hongyuan Lu; Yangyang Jia; Patrick K H Lee
Journal:  Front Microbiol       Date:  2018-02-27       Impact factor: 5.640

5.  Characterization of microbial community structure during continuous anaerobic digestion of straw and cow manure.

Authors:  Li Sun; Phillip B Pope; Vincent G H Eijsink; Anna Schnürer
Journal:  Microb Biotechnol       Date:  2015-07-08       Impact factor: 5.813

6.  Effects of sludge inoculum and organic feedstock on active microbial communities and methane yield during anaerobic digestion.

Authors:  David Wilkins; Subramanya Rao; Xiaoying Lu; Patrick K H Lee
Journal:  Front Microbiol       Date:  2015-10-13       Impact factor: 5.640

7.  Metagenomic Reconstruction of Key Anaerobic Digestion Pathways in Municipal Sludge and Industrial Wastewater Biogas-Producing Systems.

Authors:  Mingwei Cai; David Wilkins; Jiapeng Chen; Siu-Kin Ng; Hongyuan Lu; Yangyang Jia; Patrick K H Lee
Journal:  Front Microbiol       Date:  2016-05-24       Impact factor: 5.640

8.  The microbial community structure in industrial biogas plants influences the degradation rate of straw and cellulose in batch tests.

Authors:  Li Sun; Tong Liu; Bettina Müller; Anna Schnürer
Journal:  Biotechnol Biofuels       Date:  2016-06-18       Impact factor: 6.040

  8 in total

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