Validation of a bitmap of genes involved in cherry fruit cracking by digital PCR and qPCR, suitable for plant breeding
Marlene Santos, Alberto Gila-Navarro, Julia Weiss, Berta Gonçalves, Manuela Matos, Marcos Egea-Cortines

TL;DR
This study identifies a set of genes that can predict cherry fruit cracking, which could help improve breeding and reduce losses.
Contribution
The novel contribution is the validation of a gene expression bitmap for predicting cherry fruit cracking susceptibility.
Findings
A set of 8 genes can distinguish cherry fruits with low and high cracking based on expression levels.
Digital PCR provides more consistent transcript comparisons than qPCR.
Wax biosynthesis and cell wall pathways are linked to fruit cracking susceptibility.
Abstract
Fruit cracking is a developmental defect depending on genetic and environmental conditions. Fruit cracking has a negative impact on quality and production. Fruits with cracking cannot be commercialized and enhance pathogen contaminations. Identifying genes as markers may help in breeding and post-harvest treatments. We compared qPCR and dPCR methods using a set of 16 genes that appear to be differentially expressed in the cherry varieties Sweatheart with low cracking and Burlat with high cracking indexes. Differences in absolute transcripts spanned across nearly three orders of magnitude. Overall qPCR and dPCR show a highly significant negative correlation of -0.90. The equation allowed converting Ct values to dPCR copy number. However, copy number in dPCR allow a direct comparison across experiments and transcriptomic analysis. The combination of PaCER1, PaXTH, PaEXP1, PaEXP2, PaKCS6,…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsPlant Surface Properties and Treatments · Postharvest Quality and Shelf Life Management · Research in Cotton Cultivation
