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基于ddRAD-seq技术获得的草莓果实品质性状全基因组单核苷酸多态性、高密度连锁图谱及数量性状基因座(×)

ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry ( x ).

作者信息

Natarajan Sathishkumar, Hossain Mohammad Rashed, Kim Hoy-Taek, Denison Michael Immanuel Jesse, Ferdous Mostari Jahan, Jung Hee-Jeong, Park Jong-In, Nou Ill-Sup

机构信息

Department of Horticulture, Suncheon National University, 255 Jungang-ro, Suncheon, Jeonnam 57922 Republic of Korea.

出版信息

3 Biotech. 2020 Aug;10(8):353. doi: 10.1007/s13205-020-02291-5. Epub 2020 Jul 27.

Abstract

Understanding the genetic determinants are essential for improving the fruit quality traits of strawberry. In this study, we focused on mapping the loci for fruit-length (FL), -diameter (FD), -weight (FW) and -soluble solid content (SSC) using the genome-wide single nucleotide polymorphisms (SNPs) identified via ddRAD-sequencing of the F population raised from Maehyang (♀) X Festival (♂). A total of 12,698 high quality SNPs were identified of which 1554 SNPs that showed significant Mendelian segregation ( < 0.05) were mapped to 53 linkage groups (LG) spanning a total of 2937.93 cM with an average marker density of 2.14 cM/locus. Six QTLs for FL and four QTLs for each of FD, FW and SSC were identified that explained 24-35%, 21-42%, 24-54% and 23-50% of overall phenotypic variations, respectively. The genes that lie within these QTL regions were extracted and discussed thoroughly. In addition, a high resolution melting marker (MF154) were designed based on the SNP A1G of the UDP-glucose 4-epimerase GEPI48-like gene FAN_iscf00021287. The marker detected the high vs low sugar containing F plants and commercial cultivars with 81.39% and 86.95% detection accuracy, respectively. These SNPs, linkage map, QTLs and candidate genes will be helpful in understanding and improving the fruit quality traits of strawberry.

摘要

了解遗传决定因素对于改善草莓果实品质性状至关重要。在本研究中,我们聚焦于利用通过对Maehyang(♀)×Festival(♂)杂交F群体进行ddRAD测序鉴定出的全基因组单核苷酸多态性(SNP),来定位果实长度(FL)、直径(FD)、重量(FW)和可溶性固形物含量(SSC)的基因座。共鉴定出12,698个高质量SNP,其中1554个显示出显著孟德尔分离(P<0.05)的SNP被定位到53个连锁群(LG)上,这些连锁群总长2937.93 cM,平均标记密度为2.14 cM/基因座。分别鉴定出6个FL的QTL以及FD、FW和SSC各4个QTL,它们分别解释了总体表型变异的24 - 35%、21 - 42%、24 - 54%和23 - 50%。提取并深入讨论了位于这些QTL区域内的基因。此外,基于UDP - 葡萄糖4 - 表异构酶GEPI48样基因FAN_iscf00021287的SNP A1G设计了一个高分辨率熔解标记(MF154)。该标记对高糖和低糖F植株及商业品种的检测准确率分别为81.39%和86.95%。这些SNP、连锁图谱、QTL和候选基因将有助于理解和改善草莓的果实品质性状。

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