Evidence map›Paper›PMID 26352671›Full record

ArticlePloS one2015

Whole-Genome Analysis of Diversity and SNP-Major Gene Association in Peach Germplasm.

Diego Micheletti, Maria Teresa Dettori, Sabrina Micali, Valeria Aramini, Igor Pacheco, Cassia Da Silva Linge, Stefano Foschi, Elisa Banchi, Teresa Barreneche, Bénédicte Quilot-Turion and 16 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–field-weighted citation impact
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

53 citing papers in PubMed.

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  9. Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022
    Review
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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

26 authors.

Diego MichelettiIRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain.
Maria Teresa DettoriConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CRA), Centro di Ricerca per la Frutticoltura, Roma, Italy.
Sabrina MicaliConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CRA), Centro di Ricerca per la Frutticoltura, Roma, Italy.
Valeria AraminiConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CRA), Centro di Ricerca per la Frutticoltura, Roma, Italy.
Igor PachecoUniversità degli Studi di Milano, DiSAA, Milan, Italy.
Cassia Da Silva LingeUniversità degli Studi di Milano, DiSAA, Milan, Italy.
Stefano FoschiCentro Ricerche Produzioni Vegetali, Cesena (FC), Italy.
Elisa BanchiResearch and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige (TN), Italy.
Teresa BarrenecheINRA, UMR 1332 de Biologie du Fruit et Pathologie, Villenave d'Ornon, France; Univ. Bordeaux, UMR 1332 de Biologie du Fruit et Pathologie, Villenave d'Ornon, France.
Bénédicte Quilot-TurionINRA UR1052 GAFL, Domaine Saint Maurice, Montfavet, France.
Patrick LambertINRA UR1052 GAFL, Domaine Saint Maurice, Montfavet, France.
Thierry PascalINRA UR1052 GAFL, Domaine Saint Maurice, Montfavet, France.
Ignasi IglesiasIRTA, Estació Experimental de Lleida, Parc de Gardeny, Edifici Fruitcentre, Lleida, Spain.
Joaquim CarbóIRTA, Estacio Experimental Mas Badia, La Tallada d'Empordà, Girona, Spain.
Li-Rong WangZhenzhou Fruit Research Institute, CAAS, Zhengzhou, China.
Rui-Juan MaHorticultural Institute, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Xiong-Wei LiDepartment of Horticulture, Zhejiang University, Hangzhou, China.
Zhong-Shan GaoDepartment of Horticulture, Zhejiang University, Hangzhou, China.
Nelson NazzicariParco Tecnologico Padano, Lodi, Italy.
Michela TroggioResearch and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige (TN), Italy.
Daniele BassiUniversità degli Studi di Milano, DiSAA, Milan, Italy.
Laura RossiniUniversità degli Studi di Milano, DiSAA, Milan, Italy; Parco Tecnologico Padano, Lodi, Italy.
Ignazio VerdeConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CRA), Centro di Ricerca per la Frutticoltura, Roma, Italy.
François LaurensINRA, UMR 1345 Institut de Recherche en Horticulture et Semences, Beaucouzé, France; Université d'Angers, UMR 1345 Institut de Recherche en Horticulture et Semences, SFR 4207 QUASAV, PRES L'UNAM, Angers, France; AgroCampus-Ouest, UMR 1345 Institut de Recherche en Horticulture et Semences, Angers, France.
Pere ArúsIRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain.
Maria José AranzanaIRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peach was domesticated in China more than four millennia ago and from there it spread world-wide. Since the middle of the last century, peach breeding programs have been very dynamic generating hundreds of new commercial varieties, however, in most cases such varieties derive from a limited collection of parental lines (founders). This is one reason for the observed low levels of variability of the commercial gene pool, implying that knowledge of the extent and distribution of genetic variability in peach is critical to allow the choice of adequate parents to confer enhanced productivity, adaptation and quality to improved varieties. With this aim we genotyped 1,580 peach accessions (including a few closely related Prunus species) maintained and phenotyped in five germplasm collections (four European and one Chinese) with the International Peach SNP Consortium 9K SNP peach array. The study of population structure revealed the subdivision of the panel in three main populations, one mainly made up of Occidental varieties from breeding programs (POP1OCB), one of Occidental landraces (POP2OCT) and the third of Oriental accessions (POP3OR). Analysis of linkage disequilibrium (LD) identified differential patterns of genome-wide LD blocks in each of the populations. Phenotypic data for seven monogenic traits were integrated in a genome-wide association study (GWAS). The significantly associated SNPs were always in the regions predicted by linkage analysis, forming haplotypes of markers. These diagnostic haplotypes could be used for marker-assisted selection (MAS) in modern breeding programs.

Indexed as

Chromosomes, PlantGenome, PlantGenotypePolymorphism, Single NucleotideChromosome MappingGenetic VariationGenome-Wide Association StudyHaplotypesPhenotypePhylogenyPrunus persica

Identifiers

PMID26352671
PMCPMC4564248

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Registered trials

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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.