TY - JOUR
T1 - Molecular microbiology methods for environmental diagnosis
AU - Bouchez, T.
AU - Blieux, A. L.
AU - Dequiedt, S.
AU - Domaizon, I.
AU - Dufresne, A.
AU - Ferreira, S.
AU - Godon, J. J.
AU - Hellal, J.
AU - Joulian, C.
AU - Quaiser, A.
AU - Martin-Laurent, F.
AU - Mauffret, A.
AU - Monier, J. M.
AU - Peyret, P.
AU - Schmitt-Koplin, P.
AU - Sibourg, O.
AU - D’oiron, E.
AU - Bispo, A.
AU - Deportes, I.
AU - Grand, C.
AU - Cuny, P.
AU - Maron, P. A.
AU - Ranjard, L.
N1 - Publisher Copyright:
© 2016, Springer International Publishing Switzerland.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - To reduce the environmental footprint of human activities, the quality of environmental media such as water, soil and the atmosphere should be first assessed. Microorganisms are well suited for a such assessment because they respond fast to environmental changes, they have a huge taxonomic and genetic diversity, and they are actively involved in biogeochemical cycles. Here, we review microbiological methods that provide sensitive and robust indicators for environmental diagnosis. Methods include genomics, transcriptomics, proteomics and metabolomics to study the abundance, diversity, activity and functional potentials of indigenous microbial communities in various environmental matrices such as water, soil, air and waste. We describe the advancement, technical limits and sensitivity of each method. Examples of method application to farming, industrial and urban impact are presented. We rank the most advanced indicators according to their level of operability in the different environmental matrices based on a technology readiness level scale.
AB - To reduce the environmental footprint of human activities, the quality of environmental media such as water, soil and the atmosphere should be first assessed. Microorganisms are well suited for a such assessment because they respond fast to environmental changes, they have a huge taxonomic and genetic diversity, and they are actively involved in biogeochemical cycles. Here, we review microbiological methods that provide sensitive and robust indicators for environmental diagnosis. Methods include genomics, transcriptomics, proteomics and metabolomics to study the abundance, diversity, activity and functional potentials of indigenous microbial communities in various environmental matrices such as water, soil, air and waste. We describe the advancement, technical limits and sensitivity of each method. Examples of method application to farming, industrial and urban impact are presented. We rank the most advanced indicators according to their level of operability in the different environmental matrices based on a technology readiness level scale.
KW - Bioindicator
KW - Environmental diagnosis
KW - Environmental matrix
KW - Molecular microbiology
UR - http://www.scopus.com/inward/record.url?scp=84988442691&partnerID=8YFLogxK
U2 - 10.1007/s10311-016-0581-3
DO - 10.1007/s10311-016-0581-3
M3 - Review article
AN - SCOPUS:84988442691
SN - 1610-3653
VL - 14
SP - 423
EP - 441
JO - Environmental Chemistry Letters
JF - Environmental Chemistry Letters
IS - 4
ER -
