Evidence map›Paper›PMID 24244329›Full record

ArticlePloS one2013

Application of genomic and quantitative genetic tools to identify candidate resistance genes for brown rot resistance in peach.

Pedro J Martínez-García, Dan E Parfitt, Richard M Bostock, Jonathan Fresnedo-Ramírez, Alejandra Vazquez-Lobo, Ebenezer A Ogundiwin, Thomas M Gradziel, Carlos H Crisosto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 58 citations in OpenAlex.

  1. Validation ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Evaluation of cell death-inducing activity ofFrontiers in plant science · 2024
    Article
  4. Genome-wide association analysis ofFrontiers in plant science · 2023
    Article
  5. Article
  6. Review
  7. Genome-Wide Association Study of Brown Rot (Frontiers in plant science · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Horticulture research · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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

8 authors at 2 institutions in 2 countries.

Pedro J Martínez-GarcíaDepartment of Plant Sciences, University of California Davis, Davis, California, United States of America.
Dan E Parfitt
Richard M Bostock
Jonathan Fresnedo-Ramírez
Alejandra Vazquez-Lobo
Ebenezer A Ogundiwin
Thomas M Gradziel
Carlos H Crisosto
University of California, Davis · USInstituto de Ecología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of a complete peach genome assembly and three different peach genome sequences created by our group provide new opportunities for application of genomic data and can improve the power of the classical Quantitative Trait Loci (QTL) approaches to identify candidate genes for peach disease resistance. Brown rot caused by Monilinia spp., is the most important fungal disease of stone fruits worldwide. Improved levels of peach fruit rot resistance have been identified in some cultivars and advanced selections developed in the UC Davis and USDA breeding programs. Whole genome sequencing of the Pop-DF parents lead to discovery of high-quality SNP markers for QTL genome scanning in this experimental population. Pop-DF created by crossing a brown rot moderately resistant cultivar 'Dr. Davis' and a brown rot resistant introgression line, 'F8,1-42', derived from an initial almond × peach interspecific hybrid, was evaluated for brown rot resistance in fruit of harvest maturity over three seasons. Using the SNP linkage map of Pop-DF and phenotypic data collected with inoculated fruit, a genome scan for QTL identified several SNP markers associated with brown rot resistance. Two of these QTLs were placed on linkage group 1, covering a large (physical) region on chromosome 1. The genome scan for QTL and SNP effects predicted several candidate genes associated with disease resistance responses in other host-pathogen systems. Two potential candidate genes, ppa011763m and ppa026453m, may be the genes primarily responsible for M. fructicola recognition in peach, activating both PAMP-triggered immunity (PTI) and effector-triggered immunity (ETI) responses. Our results provide a foundation for further genetic dissection, marker assisted breeding for brown rot resistance, and development of peach cultivars resistant to brown rot.

Indexed as

Genes, PlantPolymorphism, Single NucleotideDisease ResistancePlant DiseasesPrunus

Identifiers

PMID24244329
PMCPMC3823860
OpenAlexW2071675818

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.