Meta-omics assisted microbial gene and strain resources mining in contaminant environment.
gene mining
meta‐omics approaches
pollutants
yet‐to‐culture strains
Journal
Engineering in life sciences
ISSN: 1618-0240
Titre abrégé: Eng Life Sci
Pays: Germany
ID NLM: 101193313
Informations de publication
Date de publication:
May 2024
May 2024
Historique:
received:
04
05
2023
revised:
11
07
2023
accepted:
11
07
2023
medline:
6
5
2024
pubmed:
6
5
2024
entrez:
6
5
2024
Statut:
epublish
Résumé
Human activities have led to the release of various environmental pollutants, triggering ecological challenges. In situ, microbial communities in these contaminated environments are usually assumed to possess the potential capacity of pollutant degradation. However, the majority of genes and microorganisms in these environments remain uncharacterized and uncultured. The advent of meta-omics provided culture-independent solutions for exploring the functional genes and microorganisms within complex microbial communities. In this review, we highlight the applications and methodologies of meta-omics in uncovering of genes and microbes from contaminated environments. These findings may assist in future bioremediation research.
Identifiants
pubmed: 38708415
doi: 10.1002/elsc.202300207
pii: ELSC1592
pmc: PMC11065330
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
2300207Informations de copyright
© 2023 The Authors. Engineering in Life Sciences published by Wiley‐VCH GmbH.
Déclaration de conflit d'intérêts
The authors have declared no conflicts of interest.