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
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

2300207

Informations 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.

Auteurs

Yiqun Huang (Y)

State Key Laboratory of Microbial Metabolism and School of Life Sciences & Biotechnology Shanghai Jiao Tong University Shanghai People's Republic of China.

Haiyang Hu (H)

State Key Laboratory of Microbial Metabolism and School of Life Sciences & Biotechnology Shanghai Jiao Tong University Shanghai People's Republic of China.

Tingting Zhang (T)

China Tobacco Henan Industrial Co. Ltd. Zhengzhou People's Republic of China.

Weiwei Wang (W)

State Key Laboratory of Microbial Metabolism and School of Life Sciences & Biotechnology Shanghai Jiao Tong University Shanghai People's Republic of China.

Wenzhao Liu (W)

China Tobacco Henan Industrial Co. Ltd. Zhengzhou People's Republic of China.

Hongzhi Tang (H)

State Key Laboratory of Microbial Metabolism and School of Life Sciences & Biotechnology Shanghai Jiao Tong University Shanghai People's Republic of China.

Classifications MeSH