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Towards the development of the PCR-based InDel markers associated with fruit skin quality traits in melon (Cucumis melo L.) using bulked segregant analysis

索引 大块分离分析 甜瓜 生物 遗传标记 黄瓜 遗传学 染色体 DNA 数量性状位点 白色(突变) 基因定位 基因 园艺 基因型 单核苷酸多态性
作者
Adedze Yawo Mawunyo Nevame,Wei Fan,Xiong Lu,Wenting Zhang,Xue Yang,Zhao Deng,Luhua Teng,Gui‐Liang Xu,Xuegeng Wang,Wen‐Hsiung Li
出处
期刊:Canadian Journal of Plant Science [Canadian Science Publishing]
卷期号:103 (3): 312-318 被引量:1
标识
DOI:10.1139/cjps-2022-0249
摘要

Melon's fruit skin quality is an agriculturally important and consumer-appealing trait. To identify molecular markers associated with fruit skin qualities, including reticulation and color, a total of 1200 Insertion/Deletion (InDel) markers randomly selected from the whole genome re-sequencing data of melon were combined with bulk segregant analysis to analyze a panel of melon genetic resources presenting reticulated- and smooth-skinned fruits as well as varying fruit skin colors. Four DNA bulks, including reticulated skin DNA bulk, smoothed skin DNA bulk, green skin DNA bulk, as well as white skin and light yellow skin DNA bulks, were developed. Four DNA pools were created by combining the DNA of 12 representative plants from each DNA bulk for polymorphism analysis, and 200 polymorphic InDel markers were selected. These polymorphic markers were used to characterize typical genetic bands within each DNA bulk. Two InDel markers, MC8-52 and MC4-7, were discovered to be related to fruit surface patterning (reticulated- and smooth-skinned fruits) and fruit color (green and white–light yellow fruits), respectively. These markers offer a high degree of detection accuracy. InDel marker MC8-52 on chromosome 8 achieved detection accuracies of 78.33% and 90.56%, whereas marker MC4-7 on chromosome 4 displayed detection accuracies of 92.92% and 83.35%, respectively. However, these markers were seen as a likely means of identifying strongly related markers for these traits. Hence, a high-resolution map of genomic regions carrying them is required for the development of highly linked markers for these traits.
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