Comparative genomics and bioinformatics approaches revealed the role of CC-NBS-LRR genes under multiple stresses in passion fruit.

CNL expression profiling gene ontology machine learning passion fruit pathogen resistance

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: 19 12 2023
accepted: 16 02 2024
medline: 13 3 2024
pubmed: 13 3 2024
entrez: 13 3 2024
Statut: epublish

Résumé

Passion fruit is widely cultivated in tropical, subtropical regions of the world. The attack of bacterial and fungal diseases, and environmental factors heavily affect the yield and productivity of the passion fruit. The

Identifiants

pubmed: 38476402
doi: 10.3389/fgene.2024.1358134
pii: 1358134
pmc: PMC10929019
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1358134

Informations de copyright

Copyright © 2024 Zia, Sadaqat, Ding, Fatima, Albekairi, Alshammari and Tahir ul Qamar.

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

Komal Zia (K)

Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.

Muhammad Sadaqat (M)

Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.

Baopeng Ding (B)

College of Horticulture, Shanxi Agricultural University, Taigu, Shanxi, China.

Kinza Fatima (K)

Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.

Norah A Albekairi (NA)

Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Abdulrahman Alshammari (A)

Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Muhammad Tahir Ul Qamar (M)

Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.

Classifications MeSH