Metatranscriptomic Analysis of Oil-Exposed Seawater Bacterial Communities Archived by an Environmental Sample Processor (ESP).

ESP functional markers hydrocarbon pollution marine environmental monitoring marine microbial communities metatranscriptomics

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
15 May 2020
Historique:
received: 15 04 2020
revised: 12 05 2020
accepted: 14 05 2020
entrez: 21 5 2020
pubmed: 21 5 2020
medline: 21 5 2020
Statut: epublish

Résumé

The use of natural marine bacteria as "oil sensors" for the detection of pollution events can be suggested as a novel way of monitoring oil occurrence at sea. Nucleic acid-based devices generically called genosensors are emerging as potentially promising tools for in situ detection of specific microbial marker genes suited for that purpose. Functional marker genes are particularly interesting as targets for oil-related genosensing but their identification remains a challenge. Here, seawater samples, collected in tanks with oil addition mimicking a realistic oil spill scenario, were filtered and archived by the Environmental Sample Processor (ESP), a fully robotized genosensor, and the samples were then used for post-retrieval metatranscriptomic analysis. After extraction, RNA from ESP-archived samples at start, Day 4 and Day 7 of the experiment was used for sequencing. Metatranscriptomics revealed that several KEGG pathways were significantly enriched in samples exposed to oil. However, these pathways were highly expressed also in the non-oil-exposed water samples, most likely as a result of the release of natural organic matter from decaying phytoplankton. Temporary peaks of aliphatic alcohol and aldehyde dehydrogenases and monoaromatic ring-degrading enzymes (e.g.,

Identifiants

pubmed: 32429288
pii: microorganisms8050744
doi: 10.3390/microorganisms8050744
pmc: PMC7284936
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Norges Forskningsråd
ID : 215598
Organisme : Norges Forskningsråd
ID : 255494

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Kamila Knapik (K)

NORCE Environment, NORCE Norwegian Research Centre AS, 4070 Randaberg, Norway.

Andrea Bagi (A)

NORCE Environment, NORCE Norwegian Research Centre AS, 4070 Randaberg, Norway.

Adriana Krolicka (A)

NORCE Environment, NORCE Norwegian Research Centre AS, 4070 Randaberg, Norway.

Thierry Baussant (T)

NORCE Environment, NORCE Norwegian Research Centre AS, 4070 Randaberg, Norway.

Classifications MeSH