Unraveling the genetic and molecular basis of heat stress in cotton.

cotton epigenetic modification high-temperature stress multiomics transcriptomics

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2024
Historique:
received: 18 09 2023
accepted: 29 04 2024
medline: 26 6 2024
pubmed: 26 6 2024
entrez: 26 6 2024
Statut: epublish

Résumé

Human activities and climate change have resulted in frequent and intense weather fluctuations, leading to diverse abiotic stresses on crops which hampers greatly their metabolic activities. Heat stress, a prevalent abiotic factor, significantly influences cotton plant biological activities resulting in reducing yield and production. We must deepen our understanding of how plants respond to heat stress across various dimensions, encompassing genes, RNAs, proteins, metabolites for effective cotton breeding. Multi-omics methods, primarily genomics, transcriptomics, proteomics, metabolomics, and phenomics, proves instrumental in studying cotton's responses to abiotic stresses. Integrating genomics, transcriptomics, proteomics, and metabolomic is imperative for our better understanding regarding genetics and molecular basis of heat tolerance in cotton. The current review explores fundamental omics techniques, covering genomics, transcriptomics, proteomics, and metabolomics, to highlight the progress made in cotton omics research.

Identifiants

pubmed: 38919956
doi: 10.3389/fgene.2024.1296622
pii: 1296622
pmc: PMC11196824
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1296622

Informations de copyright

Copyright © 2024 Ijaz, Anwar, Ali, Ditta, Shani, Haidar, Wang, Fang, Khan and Khan.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Aqsa Ijaz (A)

Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.

Zunaira Anwar (Z)

Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.

Ahmad Ali (A)

National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.

Allah Ditta (A)

Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.
Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan.

Muhammad Yousaf Shani (MY)

Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.

Sajjad Haidar (S)

Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.
Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan.

Boahua Wang (B)

School of Life Sciences, Nantong University, Nantong, China.

Liu Fang (L)

State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China.

Sana Muhy-Ud-Din Khan (SM)

Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan.

Muhammad Kashif Riaz Khan (MKR)

Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.
Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan.

Classifications MeSH