Molecular microbiology methods for environmental diagnosis

Bouchez, T.; Blieux, A. L.; Dequiedt, S.; Domaizon, I.; Dufresne, A.; Ferreira, S.; Godon, J. J.; Hellal, J.; Joulian, C.; Quaiser, A.; Martin-Laurent, F.; Mauffret, A.; Monier, J. M.; Peyret, P.; Schmitt-Koplin, P.; Sibourg, O.; D’oiron, E.; Bispo, A.; Deportes, I.; Grand, C.; Cuny, P.; Maron, P. A.; Ranjard, L.

doi:10.1007/s10311-016-0581-3

Cited by 121Microbial Community Ecology and PhysiologyMicrobial bioremediation and biosurfactantsEnvironmental DNA in Biodiversity Studies

Molecular microbiology methods for environmental diagnosis

Bouchez, T., Blieux, A. L., Dequiedt, S., Domaizon, I., Dufresne, A., Ferreira, S., Godon, J. J., Hellal, J. +15 more·2016·Environmental Chemistry Letters

DOI 10.1007/s10311-016-0581-3

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A large proportion of soil organisms remains to be characterized in taxonomic and functional terms.
“since a large proportion of soil organisms yet remains to be characterized in taxonomic and functional terms (Schloter et al., 2018; Bouchez et al., 2016).”
From Soil quality – A critical review (2018) · cites this paper as Bouchez et al., 2016
For a meaningful integration of indicators based on molecular methods into soil quality assessments, standardized techniques and a reference system are still lacking and will have to be established.
“Finally, for a meaningful integration of indicators based on molecular methods into soil quality assessments, standardized techniques and a reference system are still lacking and will have to be established (Bouchez et al., 2016).”
From Soil quality – A critical review (2018) · cites this paper as Bouchez et al., 2016
The analysis of the 'big data' generated with sequencing poses a serious challenge in terms of time, computing capacities and interpretation.
“The analysis of the ' big data ' generated with sequencing also poses a serious challenge in terms of time, computing capacities and interpretation”
From Soil quality – A critical review (2018) · cites this paper as Bouchez et al., 2016
Molecular methods focusing on DNA and RNA hold great potential to perform faster, cheaper and more informative measurements of soil biota and soil processes than conventional methods.
“Molecular methods focusing on DNA and RNA hold great potential to perform faster, cheaper and more informative measurements of soil biota and soil processes than conventional methods (Bouchez et al., 2016).”
From Soil quality – A critical review (2018) · cites this paper as Bouchez et al., 2016
Most farmers are willing to send samples to the laboratory as long as the analyzed indicators are meaningful and responsive to management.
“most farmers are willing to send samples to the laboratory as long as the analyzed indicators are meaningful and responsive to management (Bouchez et al., 2016).”
From Soil quality – A critical review (2018) · cites this paper as Bouchez et al., 2016

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Cadmium contamination decreased bacterial network complexity and stability in coastal reclamation areas
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Microbial community structure and niche differentiation under different health statuses of Pinus bungeana in the Xiong'an New Area in China
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The Prospect of Gene Exploitation through Soil Metagenomics
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Afforestation Enhances Potential Bacterial Metabolic Function without Concurrent Soil Carbon: A Case Study of Mu Us Sandy Land
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DNA metabarcode analyses reveal similarities and differences in plant microbiomes of industrial hemp and medicinal Cannabis in China
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Aptamer-based Biosensors for Monitoring Food Quality and Safety
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La microbiologie moléculaire environnementale : historique, limites et potentialités
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Self-citation
Molecular biological methods in environmental engineering
Li, C., Zhang, X., Wei, L., Wei, D., Chen, Z., Cao, Z., Zhao, Q., & Chang, C. (2020) · Water Environment Research · doi:10.1002/wer.1432 · Cited by 1 · see citing works
Matrice atmosphère - 4.1 - Introduction pour le milieu atmosphère
Godon, J. (2017) · HAL
Self-citation

Authors: Bouchez, T., Blieux, A. L., Dequiedt, S., Domaizon, I., Dufresne, A., Ferreira, S., Godon, J. J., Hellal, J., Joulian, C., Quaiser, A., Martin-Laurent, F., Mauffret, A., Monier, J. M., Peyret, P., Schmitt-Koplin, P., Sibourg, O., D’oiron, E., Bispo, A., Deportes, I., Grand, C., Cuny, P., Maron, P. A., & Ranjard, L.
Affiliations: Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture (FR)
Agroécologie (FR)
Centre Alpin de Recherche sur les Réseaux Trophiques et les Ecosystèmes Limniques (FR)
Centre National de la Recherche Scientifique (FR)
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
Bureau de Recherches Géologiques et Minières (FR)
Université Clermont Auvergne (FR)
Agence de la transition écologique (FR)
Aix-Marseille Université (FR)
Corresponding author: Ranjard, L.
ORCID: Bouchez, T.
Dequiedt, S.
Domaizon, I.
Dufresne, A.
Hellal, J.
Joulian, C.
Quaiser, A.
Martin-Laurent, F.
Peyret, P.
Bispo, A.
Cuny, P.
Maron, P. A.
Ranjard, L.
Venue: Environmental Chemistry Letters
Publisher: Springer Science and Business Media LLC
Published: 2016-09-17
Volume: 14
Issue: 4
Pages: 423-441
ISSN: 1610-3653 (ISSN-L)
1610-3661
DOI: 10.1007/s10311-016-0581-3
OpenAlex: W2518868886
Cited by: 121
References: 59
Citations by year: 2026: 7 · 2025: 15 · 2024: 17 · 2023: 7 · 2022: 19 · 2021: 16 · 2020: 16 · 2019: 6 · 2018: 14 · 2017: 4
FWCI: 7.01
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (unspecified)
Locations: Environmental Chemistry Letters (publishedVersion)
HAL (submittedVersion)
Cemadoc (Cemagref / IRSTEA) (submittedVersion)
Site cant be reached (submittedVersion)
PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
Topics: Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
Physical Sciences › Environmental Science › Pollution › Microbial bioremediation and biosurfactants
Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
Keywords: environmental microbiology, environmental diagnosis, microbial genomics, transcriptomics, proteomics, metabolomics, indigenous microbial communities, soil microbes, water quality, air quality, waste, agricultural impacts, industrial impact, urban influence, technology readiness level, biogeochemical cycles

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