ArticleBMC genomics2024
Identification and validation of qRT-PCR reference genes for analyzing grape infection with gray mold.
Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Transcriptome-Based Identification of Reference Genes for Expression Analysis in Cassava UnderPlants (Basel, Switzerland) · 2025Article
- Regulation and functional analysis of BvMBF1c in response to Cercospora leaf spot (CLS) stresses in sugar beet (Beta vulgaris L.).BMC plant biology · 2025Article
- High-Vigor Rootstock Exacerbates Herbaceous Notes inFoods (Basel, Switzerland) · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundGrapes are highly valued for their nutritional and economic benefits, and have been widely studied for their biological attributes such as fruit development, quality formation, and stress resistance. One significant threat to grape quality is gray mold, caused by Botrytis cinerea, which can infect the flowers, fruits, leaves, and stems. The quantitative real-time PCR (qRT-PCR), known for its high sensitivity and quantitative accuracy, is an essential tool for analyzing gene expression related to the pathogenesis of gray mold, thereby providing deeper insights into the disease.
resultIn this study, we aim to identify stable internal reference genes crucial for accurate gene expression analysis via qRT-PCR. Utilizing transcriptome data from grapes under various disease stresses, we identified twelve candidate reference genes with consistently high expression levels. The stability of these genes was assessed through delta-CT, geNorm, NormFinder, BestKeeper, and RefFinder analyses after establishing the cycling thresholds (Ct) in different grape varieties treated with Botrytis cinerea.
conclusionsOur findings reveal that VIT-17s0000g02750 and VIT-06s0004g04280 exhibit stable expression and are suitable as new reference genes. This foundational work supports further research into the molecular mechanisms of grape biological processes.
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