Yang Jinchang, Meng Pengxu, Mi Hang, Wang Xueying, Yang Jin, Fu Shaohong, Gong Wanzhuo, Bao Ruifan, Deng Wujiao, Wu Haimei, Liu Zhiqin, Yang Sijia, Ni Jixing, Liu Jian, Shi Haoran
Chengdu Academy of Agricultural and Forestry Sciences, No 200 Nongke Road, Wenjiang District, Chengdu, Sichuan, 611130, China.
Maize Research Institute, Sichuan Agricultural University, No 211 Huiming Road, Wenjiang District, Chengdu, Sichuan, 611130, China.
BMC Genomics. 2025 Apr 18;26(1):391. doi: 10.1186/s12864-025-11584-z.
InDels are the most common type of length polymorphism and play a critical role in the genetic traits of many important phenotypes in both plants and animals, making them an ideal source for length polymorphism molecular markers. However, in the process of cucumber breeding, researchers still face deficiencies in the identification of InDel loci and the development of genomic-wide molecular markers.
In this study, we conducted InDel identification on 115 cucumber re-sequencing datasets, identifying a total of 7,842,946 InDels, with lengths ranging from 1 to 59 bp and an average density of one InDel every 2.8 kb on the chromosomes. The InDel variations were classified into four main categories, and 81 InDel hotspots were identified, serving as the foundation for constructing a cucumber InDel variation map. Additionally, we utilized an electronic PCR strategy to develop genome-wide InDel markers for cucumber, resulting in the selection of 22,442 InDel primers exhibiting high polymorphism (PIC ≥ 0.5) and major allele differences of ≥ 3 bp. We experimentally validated 50 randomly selected InDel primers, and the results showed that all markers exhibited high polymorphism.
The construction of the cucumber genome InDel variation map aids in understanding the genetic basis of key traits in cucumber derived from InDel variations. The ideal InDel markers developed in this study may enhance the efficiency of cucumber breeding for resistance to both biotic and abiotic stresses, as well as scientific research.
插入缺失(InDels)是最常见的长度多态性类型,在动植物许多重要表型的遗传性状中起着关键作用,使其成为长度多态性分子标记的理想来源。然而,在黄瓜育种过程中,研究人员在InDel位点的鉴定和全基因组分子标记的开发方面仍面临不足。
在本研究中,我们对115个黄瓜重测序数据集进行了InDel鉴定,共鉴定出7,842,946个InDels,长度范围为1至59 bp,染色体上平均每2.8 kb有一个InDel。InDel变异分为四大类,并鉴定出81个InDel热点,为构建黄瓜InDel变异图谱奠定了基础。此外,我们利用电子PCR策略开发了黄瓜全基因组InDel标记,筛选出22,442个具有高多态性(PIC≥0.5)且主等位基因差异≥3 bp的InDel引物。我们对随机选择的50个InDel引物进行了实验验证,结果表明所有标记均表现出高多态性。
黄瓜基因组InDel变异图谱的构建有助于理解黄瓜中由InDel变异产生的关键性状的遗传基础。本研究开发的理想InDel标记可能会提高黄瓜抗生物和非生物胁迫育种以及科研的效率。