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Microbial ecology of fermentative hydrogen producing bioprocesses: useful insights for driving the ecosystem function
Author(s) -
Léa Cabrol,
Antonella Marone,
Estela Tapia-Venegas,
JeanPhilippe Steyer,
Gonzalo Ruíz-Filippi,
Éric Trably
Publication year - 2016
Publication title -
fems microbiology reviews
Language(s) - English
Resource type - Journals
eISSN - 1574-6976
pISSN - 0168-6445
DOI - 10.1093/femsre/fuw043
Subject(s) - biohydrogen , ecosystem , biochemical engineering , ecology , biology , functional ecology , biomass (ecology) , bioprocess , ecosystem services , dark fermentation , microbial population biology , hydrogen production , engineering , genetics , bacteria , paleontology , biochemistry , catalysis
One of the most important biotechnological challenges is to develop environment friendly technologies to produce new sources of energy. Microbial production of biohydrogen through dark fermentation, by conversion of residual biomass, is an attractive solution for short-term development of bioH2 producing processes. Efficient biohydrogen production relies on complex mixed communities working in tight interaction. Species composition and functional traits are of crucial importance to maintain the ecosystem service. The analysis of microbial community revealed a wide phylogenetic diversity that contributes in different-and still mostly unclear-ways to hydrogen production. Bridging this gap of knowledge between microbial ecology features and ecosystem functionality is essential to optimize the bioprocess and develop strategies toward a maximization of the efficiency and stability of substrate conversion. The aim of this review is to provide a comprehensive overview of the most up-to-date biodata available and discuss the main microbial community features of biohydrogen engineered ecosystems, with a special emphasis on the crucial role of interactions and the relationships between species composition and ecosystem service. The elucidation of intricate relationships between community structure and ecosystem function would make possible to drive ecosystems toward an improved functionality on the basis of microbial ecology principles.

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