Selection of stable reference genes for qPCR expression of Colletotrichum lindemuthianum, the bean anthracnose pathogen.


Journal

Fungal biology
ISSN: 1878-6146
Titre abrégé: Fungal Biol
Pays: Netherlands
ID NLM: 101524465

Informations de publication

Date de publication:
May 2024
Historique:
received: 04 01 2024
revised: 10 02 2024
accepted: 19 03 2024
medline: 26 5 2024
pubmed: 26 5 2024
entrez: 25 5 2024
Statut: ppublish

Résumé

Phaseolus vulgaris L., commonly known as the common bean, is a highly nutritious crop often called the "poor man's meat". However, it is susceptible to various diseases throughout the cropping season, with anthracnose caused by Colletotrichum lindemuthianum being a significant threat that leads to substantial losses. There is still a lack of understanding about the molecular basis of C. lindemuthianum pathogenicity. The first step in understanding this is to identify pathogenicity genes that express more during infection of common beans. A reverse transcription quantitative real-time PCR (qPCR) method can be used for virulence gene expression. However, this approach requires selecting appropriate reference genes to normalize relative gene expression data. Currently, there is no reference gene available for C. lindemuthianum. In this study, we selected eight candidate reference genes from the available genome of C. lindemuthianum to bridge the gap. These genes were ACT (Actin), β-tub (β-tubulin), EF (Elongation Factor), Cyt C (Cytochrome C), His H3 (Histone H3), CHS1 (Chitin synthetase), GAPDH (Glyceraldehyde-3-phosphate dehydrogenase) and abfA (Alpha-l-Arabinofuranosidase A). The primers for these candidate reference genes were able to amplify cDNA only from the pathogen, demonstrating their specificity. The qPCR efficiency of the primers ranged from 80% to 103%. We analyzed the stability of gene expression in C. lindemuthianum by exposing the mycelium to nine different stress conditions. We employed algorithms, such as GeNorm, NormFinder, BestKeeper, and RefFinder tools, to identify the most stable gene. The analysis using these tools revealed that EF, GAPDH, and β-tub most stable genes, while ACT and CHS1 showed relatively low expression stability. A large number of potential effector genes have been identified through bioinformatics analysis in C. lindemuthianum. The stable genes for qPCR (EF and GAPDH) discovered in this study will aid the scientific community in determining the relative expression of C. lindemuthianum effector genes.

Identifiants

pubmed: 38796261
pii: S1878-6146(24)00030-8
doi: 10.1016/j.funbio.2024.03.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1771-1779

Informations de copyright

Copyright © 2024 British Mycological Society. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no competing interests.

Auteurs

Zainab Rashid (Z)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Aasiya Nabi (A)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Naziya Nabi (N)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Irtifa Lateef (I)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Qadrul Nisa (Q)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Tabia Fayaz (T)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Gazala Gulzar (G)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Adfar Bashir (A)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

M D Shah (MD)

Research Center for Residue and Quality Control Analysis, SKUAST-Kashmir, 190025, India.

Sajad M Zargar (SM)

Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Imran Khan (I)

Division of Agricultural Statistics, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Afsah Iqbal Nahvi (AI)

Extension Training Centre, Malangpora, Pulwama, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

H Itoo (H)

Ambri Apple Research Centre, Pahnoo, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Rafiq A Shah (RA)

Ambri Apple Research Centre, Pahnoo, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.

Bilal A Padder (BA)

Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India. Electronic address: bapadder@rediffmail.com.

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