Kaur Gurpreet, Pathak Mamta, Singla Deepak, Sharma Abhishek, Chhuneja Parveen, Sarao Navraj Kaur
School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Department of Vegetable Science, Punjab Agricultural University, Ludhiana, India.
Front Plant Sci. 2021 Jun 24;12:671620. doi: 10.3389/fpls.2021.671620. eCollection 2021.
Yellow mosaic disease (YMD) in bitter gourd () is a devastating disease that seriously affects its yield. Although there is currently no effective method to control the disease, breeding of resistant varieties is the most effective and economic option. Moreover, quantitative trait locus (QTL) associated with resistance to YMD has not yet been reported. With the objective of mapping YMD resistance in bitter gourd, the susceptible parent "Punjab-14" and the resistant parent "PAUBG-6" were crossed to obtain F mapping population comprising 101 individuals. In the present study, the genotyping by sequencing (GBS) approach was used to develop the genetic linkage map. The map contained 3,144 single nucleotide polymorphism (SNP) markers, consisted of 15 linkage groups, and it spanned 2415.2 cM with an average marker distance of 0.7 cM. By adopting the artificial and field inoculation techniques, F individuals were phenotyped for disease resistance in Nethouse (2019), Rainy (2019), and Spring season (2020). The QTL analysis using the genetic map and phenotyping data identified three QTLs , , and on chromosome 3, 4, and 5 respectively. Among these, , QTLs were identified during the rainy season, explaining the 13.5 and 21.6% phenotypic variance respectively, whereas, during the spring season, and QTLs were observed with 17.5 and 22.1% phenotypic variance respectively. Only one QTL was identified for disease resistance under nethouse conditions with 15.6% phenotypic variance. To our knowledge, this is the first report on the identification of QTLs associated with YMD resistance in bitter gourd using SNP markers. The information generated in this study is very useful in the future for fine-mapping and marker-assisted selection for disease resistance.
苦瓜的黄花叶病（YMD）是一种毁灭性病害，严重影响其产量。虽然目前尚无有效的病害防治方法，但培育抗病品种是最有效且经济的选择。此外，尚未有与抗黄花叶病相关的数量性状位点（QTL）的报道。为了定位苦瓜的抗黄花叶病基因，将感病亲本“旁遮普 - 14”与抗病亲本“PAUBG - 6”杂交，获得了由101个个体组成的F作图群体。在本研究中，采用简化基因组测序（GBS）方法构建遗传连锁图谱。该图谱包含3144个单核苷酸多态性（SNP）标记，由15个连锁群组成，跨度为2415.2厘摩，平均标记间距为0.7厘摩。通过采用人工接种和田间接种技术，在网室（2019年）、雨季（2019年）和春季（2020年）对F个体进行抗病性表型鉴定。利用遗传图谱和表型数据进行QTL分析，分别在第3、4和5号染色体上鉴定出3个QTL，即、和。其中，和QTL在雨季被鉴定出来，分别解释了13.5%和21.6%的表型变异，而在春季，和QTL被观察到，分别解释了17.5%和22.1%的表型变异。在网室条件下，仅鉴定出一个抗病QTL，解释了15.6%的表型变异。据我们所知，这是首次利用SNP标记鉴定苦瓜中与抗黄花叶病相关QTL的报道。本研究产生的信息对于未来抗病基因的精细定位和标记辅助选择非常有用。
