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Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community

Reaching a comprehensive understanding of how nature solves the problem of degrading recalcitrant biomass may eventually allow development of more efficient biorefining processes. Here we interpret genomic and proteomic information generated from a cellulolytic microbial consortium (termed F1RT) enr...

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Autores principales: Zhou, Yizhuang, Pope, Phillip B., Li, Shaochun, Wen, Bo, Tan, Fengji, Cheng, Shu, Chen, Jing, Yang, Jinlong, Liu, Feng, Lei, Xuejing, Su, Qingqing, Zhou, Chengran, Zhao, Jiao, Dong, Xiuzhu, Jin, Tao, Zhou, Xin, Yang, Shuang, Zhang, Gengyun, Yang, Huangming, Wang, Jian, Yang, Ruifu, Eijsink, Vincent G. H., Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381534/
https://www.ncbi.nlm.nih.gov/pubmed/24924356
http://dx.doi.org/10.1038/srep05288
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author Zhou, Yizhuang
Pope, Phillip B.
Li, Shaochun
Wen, Bo
Tan, Fengji
Cheng, Shu
Chen, Jing
Yang, Jinlong
Liu, Feng
Lei, Xuejing
Su, Qingqing
Zhou, Chengran
Zhao, Jiao
Dong, Xiuzhu
Jin, Tao
Zhou, Xin
Yang, Shuang
Zhang, Gengyun
Yang, Huangming
Wang, Jian
Yang, Ruifu
Eijsink, Vincent G. H.
Wang, Jun
author_facet Zhou, Yizhuang
Pope, Phillip B.
Li, Shaochun
Wen, Bo
Tan, Fengji
Cheng, Shu
Chen, Jing
Yang, Jinlong
Liu, Feng
Lei, Xuejing
Su, Qingqing
Zhou, Chengran
Zhao, Jiao
Dong, Xiuzhu
Jin, Tao
Zhou, Xin
Yang, Shuang
Zhang, Gengyun
Yang, Huangming
Wang, Jian
Yang, Ruifu
Eijsink, Vincent G. H.
Wang, Jun
author_sort Zhou, Yizhuang
collection PubMed
description Reaching a comprehensive understanding of how nature solves the problem of degrading recalcitrant biomass may eventually allow development of more efficient biorefining processes. Here we interpret genomic and proteomic information generated from a cellulolytic microbial consortium (termed F1RT) enriched from soil. Analyses of reconstructed bacterial draft genomes from all seven uncultured phylotypes in F1RT indicate that its constituent microbes cooperate in both cellulose-degrading and other important metabolic processes. Support for cellulolytic inter-species cooperation came from the discovery of F1RT microbes that encode and express complimentary enzymatic inventories that include both extracellular cellulosomes and secreted free-enzyme systems. Metabolic reconstruction of the seven F1RT phylotypes predicted a wider genomic rationale as to how this particular community functions as well as possible reasons as to why biomass conversion in nature relies on a structured and cooperative microbial community.
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spelling pubmed-53815342017-04-11 Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community Zhou, Yizhuang Pope, Phillip B. Li, Shaochun Wen, Bo Tan, Fengji Cheng, Shu Chen, Jing Yang, Jinlong Liu, Feng Lei, Xuejing Su, Qingqing Zhou, Chengran Zhao, Jiao Dong, Xiuzhu Jin, Tao Zhou, Xin Yang, Shuang Zhang, Gengyun Yang, Huangming Wang, Jian Yang, Ruifu Eijsink, Vincent G. H. Wang, Jun Sci Rep Article Reaching a comprehensive understanding of how nature solves the problem of degrading recalcitrant biomass may eventually allow development of more efficient biorefining processes. Here we interpret genomic and proteomic information generated from a cellulolytic microbial consortium (termed F1RT) enriched from soil. Analyses of reconstructed bacterial draft genomes from all seven uncultured phylotypes in F1RT indicate that its constituent microbes cooperate in both cellulose-degrading and other important metabolic processes. Support for cellulolytic inter-species cooperation came from the discovery of F1RT microbes that encode and express complimentary enzymatic inventories that include both extracellular cellulosomes and secreted free-enzyme systems. Metabolic reconstruction of the seven F1RT phylotypes predicted a wider genomic rationale as to how this particular community functions as well as possible reasons as to why biomass conversion in nature relies on a structured and cooperative microbial community. Nature Publishing Group 2014-06-13 /pmc/articles/PMC5381534/ /pubmed/24924356 http://dx.doi.org/10.1038/srep05288 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Article
Zhou, Yizhuang
Pope, Phillip B.
Li, Shaochun
Wen, Bo
Tan, Fengji
Cheng, Shu
Chen, Jing
Yang, Jinlong
Liu, Feng
Lei, Xuejing
Su, Qingqing
Zhou, Chengran
Zhao, Jiao
Dong, Xiuzhu
Jin, Tao
Zhou, Xin
Yang, Shuang
Zhang, Gengyun
Yang, Huangming
Wang, Jian
Yang, Ruifu
Eijsink, Vincent G. H.
Wang, Jun
Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
title Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
title_full Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
title_fullStr Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
title_full_unstemmed Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
title_short Omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
title_sort omics-based interpretation of synergism in a soil-derived cellulose-degrading microbial community
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381534/
https://www.ncbi.nlm.nih.gov/pubmed/24924356
http://dx.doi.org/10.1038/srep05288
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