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High-resolution genome-wide association study of a large Czech collection of sweet cherry (Prunus avium L.) on fruit maturity and quality traits

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25271121%3A_____%2F23%3AN0000122" target="_blank" >RIV/25271121:_____/23:N0000122 - isvavai.cz</a>

  • Result on the web

    <a href="https://academic.oup.com/hr/article/10/1/uhac233/6762116" target="_blank" >https://academic.oup.com/hr/article/10/1/uhac233/6762116</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/hr/uhac233" target="_blank" >10.1093/hr/uhac233</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    High-resolution genome-wide association study of a large Czech collection of sweet cherry (Prunus avium L.) on fruit maturity and quality traits

  • Original language description

    Two hundred and thirty-five sweet cherry accessions were sequenced and phenotyped for harvest time and fruit colour, firmness, and size. Genome-wide association studies were used to identify single nucleotide polymorphisms associated with each trait, which were verified in breeding material consisting of 64 additional accessions. A total of 1,767,106 single nucleotide polymorphisms were identified. At that density, significant single nucleotide polymorphisms could be linked to co-inherited haplotype blocks (median size ~10 kb). Thus, markers were tightly associated with respective phenotypes, and individual allelic combinations of particular single nucleotide polymorphisms provided links to distinct phenotypes. In addition, yellow-fruit accessions were sequenced, and a ~90-kb-deletion on chromosome 3 that included five MYB10 transcription factors was associated with the phenotype. Overall, the study confirmed numerous quantitative trait loci from bi-parental populations using high-diversity accession populations, identified novel associations, and genome-wide association studies reduced the size of trait-associated loci from megabases to kilobases and to a few candidate genes per locus. Thus, a framework is provided to develop molecular markers and evaluate and characterize genes underlying important agronomic traits.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40105 - Horticulture, viticulture

Result continuities

  • Project

    <a href="/en/project/QK1910290" target="_blank" >QK1910290: Development and application of molecular genetic methods for the rationalization of sweet cherry breeding practices (Prunus avium L.)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Horticulture Research

  • ISSN

    2052-7276

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CN - CHINA

  • Number of pages

    15

  • Pages from-to

    uhac233

  • UT code for WoS article

    000913472300021

  • EID of the result in the Scopus database

    2-s2.0-85158027302