Evidence map›Paper›PMID 40695915›Full record

ArticleScientific reports2025

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

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marlene Santos *Centre for Research and Technology of Agro-Environmental and Biological Sciences , CITAB, Inov4Agro, University of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801, Vila Real, Portugal.
Alberto Gila-Navarro *Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena Campus Muralla del Mar, Cartagena, 30202, Spain.
Julia WeissInstituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena Campus Muralla del Mar, Cartagena, 30202, Spain.
Berta GonçalvesCentre for Research and Technology of Agro-Environmental and Biological Sciences , CITAB, Inov4Agro, University of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801, Vila Real, Portugal.
Manuela MatosCentre for Research and Technology of Agro-Environmental and Biological Sciences , CITAB, Inov4Agro, University of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801, Vila Real, Portugal.
Marcos Egea-CortinesInstituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena Campus Muralla del Mar, Cartagena, 30202, Spain. marcos.egea@upct.es.

Funding

European Agricultural Fund for Rural Development Iniciativa nº 362Portuguese Foundation for Science and Technology PD/BD/150257/2019
6 · The paper itself

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, PaWINA, PaWINB and PaCER3 as an expression bitmap can separate cherry fruits with low and high cracking phenotypes based on gene expression. Our results highlight the importance of the wax biosynthesis and cell wall metabolic pathways in susceptibility to fruit cracking. Furthermore, the newly identified bitmap may be useful to test in other locations and with different varieties.

Indexed as

FruitGenes, PlantPlant BreedingPrunus aviumReal-Time Polymerase Chain ReactionGene Expression ProfilingGene Expression Regulation, PlantPhenotypePlant ProteinsPlant ProteinsBitmapCell wall metabolismCherryDPCRFruit crackingWax biosynthesis

Identifiers

PMID40695915
PMCPMC12284209

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.