Meta-omics Provides Insights into the Impact of Hydrocarbon Contamination on Microbial Mat Functioning.


Journal

Microbial ecology
ISSN: 1432-184X
Titre abrégé: Microb Ecol
Pays: United States
ID NLM: 7500663

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 23 11 2018
accepted: 04 02 2020
pubmed: 23 2 2020
medline: 15 12 2020
entrez: 21 2 2020
Statut: ppublish

Résumé

Photosynthetic microbial mats are stable, self-supported communities. Due to their coastal localization, these mats are frequently exposed to hydrocarbon contamination and are able to grow on it. To decipher how this contamination disturbs the functioning of microbial mats, we compared two mats: a contaminated mat exposed to chronic petroleum contamination and a reference mat. The taxonomic and metabolic structures of the mats in spring and fall were determined using metagenomic and metatranscriptomic approaches. Extremely high contamination disturbed the seasonal variations of the mat. ABC transporters, two-component systems, and type IV secretion system-related genes were overabundant in the contaminated mats. Xenobiotic degradation metabolism was minor in the metagenomes of both mats, and only the expression of genes involved in polycyclic aromatic hydrocarbon degradation was higher in the contaminated mat. Interestingly, the expression rates of genes involved in hydrocarbon activation decreased during the 1-year study period, concomitant with the decrease in easily degradable hydrocarbons, suggesting a transient effect of hydrocarbon contamination. Alteromonadales and Oceanospirillales hydrocarbonoclastic bacteria appeared to be key in hydrocarbon remediation in the contaminated mat. Overall, the contaminated microbial mat was able to cope with hydrocarbon contamination and displayed an adaptive functioning that modified seasonal behaviour.

Identifiants

pubmed: 32076743
doi: 10.1007/s00248-020-01493-x
pii: 10.1007/s00248-020-01493-x
doi:

Substances chimiques

Hydrocarbons 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

286-295

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR11 BSV7 014 01

Auteurs

Johanne Aubé (J)

Environmental Microbiology, Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Pau, France.
Laboratoire de Microbiologie des Environnements Extrêmes, UMR6197, IFREMER, CNRS, Université de Bretagne Occidentale, Plouzané, France.

Pavel Senin (P)

Environmental Microbiology, Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Pau, France.
Plateforme Bioinformatique Genotoul, UR875 Biométrie et Intelligence Artificielle, INRA, Castanet-Tolosan, France.

Patricia Bonin (P)

Mediterranean Institute of Oceanography (MIO), Aix Marseille University, Université de Toulon, CNRS/INSU/IRD, UM 110, Marseille, France.

Olivier Pringault (O)

UMR 9190 MARBEC IRD-Ifremer-CNRS, Université de Montpellier, Place Eugène Bataillon, Montpellier, France.

Céline Jeziorski (C)

GeT-PlaGe, Genotoul, INRA Auzeville, Castanet-Tolosan, France.

Olivier Bouchez (O)

GeT-PlaGe, Genotoul, INRA Auzeville, Castanet-Tolosan, France.

Christophe Klopp (C)

Plateforme Bioinformatique Genotoul, UR875 Biométrie et Intelligence Artificielle, INRA, Castanet-Tolosan, France.

Rémy Guyoneaud (R)

Environmental Microbiology, Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Pau, France.

Marisol Goñi-Urriza (M)

Environmental Microbiology, Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Pau, France. marisol.goni@univ-pau.fr.

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Classifications MeSH