ArticleFrontiers in plant science2019
Expression QTL (eQTLs) Analyses Reveal Candidate Genes Associated With Fruit Flesh Softening Rate in Peach [
Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Genome-wide identification of eQTL-associated lncRNAs in melon and their role in fruit cracking.Scientific reports · 2026Article
- Using Quantitative Trait Locus Mapping and Genomic Resources to Improve Breeding Precision in Peaches: Current Insights and Future Prospects.Plants (Basel, Switzerland) · 2025Review
- Class III Peroxidases in the Peach (Plants (Basel, Switzerland) · 2024Article
- Differential Responses ofPlants (Basel, Switzerland) · 2023Article
- Trans-Acting Genotypes Associated with mRNA Expression Affect Metabolic and Thermal Tolerance Traits.Genome biology and evolution · 2023Article
- Marker-Assisted Selection in Breeding for Fruit Trait Improvement: A Review.International journal of molecular sciences · 2023Review
- QTL mapping and transcriptome analysis of sugar content during fruit ripening ofFrontiers in plant science · 2023Article
- Integrating Phenotypic and Gene Expression Linkage Mapping to Dissect Rust Resistance in Chickling Pea.Frontiers in plant science · 2022Article
- Gene Editing Technologies for Sugarcane Improvement: Opportunities and Limitations.Sugar tech : an international journal of sugar crops & related industries · 2022Article
- Genetic Diversity and Genome-Wide Association Study of Morphological and Quality Traits in Peach Using Two Spanish Peach Germplasm Collections.Frontiers in plant science · 2022Article
- Inheritance of gene expression throughout fruit development in chili pepper.Scientific reports · 2021Article
- Molecular Insights of Fruit Quality Traits in Peaches,Plants (Basel, Switzerland) · 2021Review
- Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome.Frontiers in plant science · 2021Article
- Molecular Bases of Fruit Quality inInternational journal of molecular sciences · 2020Review
- Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch].BMC plant biology · 2020Article
- Postharvest Properties of Ultra-Late Maturing Peach Cultivars and Their Attributions toFrontiers in plant science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significant differences in softening rate have been reported between melting flesh in peach and nectarine varieties. This trait seems to be controlled by several genes. We aimed to identify candidate genes involved in fruit softening rate by integrating quantitative trait loci (QTL) and expression QTL (eQTL) analyses, comparing siblings with contrasting softening rates. We used a segregating population derived from nectarine cv. 'Venus' selfing, which was phenotyped for softening rate during three seasons. Six siblings with high (HSR) and six with low softening rate (LSR) were sequenced using RNA-Seq. A group of 5,041 differentially expressed genes was identified. Also, we found a QTL with a LOD (logarithm of odds) score of 9.7 on LG4 in all analyzed seasons. Furthermore, we detected 1,062 eQTLs, of which 133 were found co-localizing with the identified QTL. Gene Ontology (GO) analysis showed 'Response to auxin' as one the main over-represented categories. Our findings suggest over-expression of auxin biosynthetic related genes in the HSR group, which implies a higher expression and/or accumulation of auxin, thereby triggering fast softening. Conversely, the LSR phenotype might be explained by an altered auxin-homeostasis associated with low auxin levels. This work will contribute to unraveling the genetic mechanisms responsible for the softening rate in peaches and nectarines and lead to the development of molecular markers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.