Shape, firmness and fruit quality QTLs shared in two non-related strawberry populations

数量性状位点 生物 人口 遗传学 基因 社会学 人口学
作者
Pol Rey-Serra,Mourad Mnejja,Amparo Monfort
出处
期刊:Plant Science [Elsevier]
卷期号:311: 111010-111010 被引量:12
标识
DOI:10.1016/j.plantsci.2021.111010
摘要

The cultivated strawberry (Fragaria x ananassa) is an octoploid species (2n = 8x = 56), appreciated widely for its fruit. There have been very few studies on fruit quality traits, which are known to be mostly polygenic and environmentally dependent. To identify higher genetic variability, two non-related populations were genotyped: an F1 population cross between ‘FC50’ and ‘FD54’ and an F2 population cross between ‘Camarosa’ and ‘Dover’, hybridizing both with IStraw35k and IStraw90k SNP arrays, respectively. The F1 genetic map was constructed with 14595 SNPs and the F2 map with 7977 SNPs. High collinearity was observed when comparing one genetic map with the other and on comparing both with the octoploid genome. To assess fruit variability, both populations were phenotyped for shape, firmness, taste and other fruit traits over the 2016−2019 period. With QTL analyses, 33 stable QTLs were mapped in the ‘FC50xFD54’ population, and three hotspot regions were found for shape traits in LG3A, LG4D and LG6D. In the ‘21AF’ population, only eight stable QTLs were detected. Despite that, two major and stable QTLs were mapped in the same interval of confidence for both populations. A shared fruit shape ratio QTL which explained around 25 % of trait variance was mapped in LG3A, and a shared firmness QTL explaining 26.9 % of trait variance in LG7C. For the first time, two QTLs were discovered in LG3A and LG4A for a phenotype neck without achenes. When analysing two different mapping populations, in addition to finding specific QTL regions for the studied traits, a narrowing down of the interval of confidence for the shared QTLs is achieved. As a result of this study, a new set of SNPs for fruit firmness and shape is now available for use in MAS in strawberry breeding programs.

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