Hu Zhongyuan, Deng Guancong, Mou Haipeng, Xu Yuhui, Chen Li, Yang Jinghua, Zhang Mingfang
Laboratory of Germplasm Innovation and Molecular Breeding, Institute of Vegetable Science, Zhejiang University, Hangzhou 310058, China.
Biomarker Technologies Corporation, Beijing 101300, China.
DNA Res. 2018 Feb 1;25(1):1-10. doi: 10.1093/dnares/dsx033.
The melon (Cucumis melo) genome and genetic maps with hundreds to thousands of single nucleotide polymorphism markers were recently released. However, a high-resolution genetic map was lacking. Gummy stem blight (Gsb) is a destructive disease responsible for considerable economic losses during melon production. We herein describe the development of an ultra-dense genetic map consisting of 12,932 recombination bin markers covering 1,818 cM, with an average distance of 0.17 cM between adjacent tags. A comparison of the genetic maps for melon, watermelon, and cucumber revealed chromosome-level syntenic relationships and recombination events among the three Cucurbitaceae species. Our genetic map was useful for re-anchoring the genome scaffolds of melon. More than 92% assembly was anchored to 12 pseudo-chromosomes and 90% of them were oriented. Furthermore, 1,135 recombination hotspots revealed an unbalanced recombination rate across the melon genome. Genetic analyses of the Gsb-resistant and -susceptible lines indicated the resistance phenotype is mediated by a single dominant gene. We identified Gsb-resistance gene candidates in a 108-kb region on pseudo-chromosome 4. Our findings verify the utility of an ultra-dense genetic map for mapping a gene of interest, and for identifying new disease resistant genes.
甜瓜(Cucumis melo)基因组以及包含成百上千个单核苷酸多态性标记的遗传图谱最近已发布。然而,此前缺乏高分辨率的遗传图谱。蔓枯病(Gsb)是一种具有破坏性的病害,在甜瓜生产过程中造成了相当大的经济损失。我们在此描述了一个超密集遗传图谱的构建,该图谱由12,932个重组区间标记组成,覆盖1,818 cM,相邻标记之间的平均距离为0.17 cM。对甜瓜、西瓜和黄瓜的遗传图谱进行比较,揭示了这三种葫芦科物种之间的染色体水平的共线性关系和重组事件。我们的遗传图谱有助于重新定位甜瓜的基因组支架。超过92%的组装序列被定位到12条假染色体上,其中90%的序列方向得以确定。此外,1,135个重组热点揭示了甜瓜基因组中不均衡的重组率。对蔓枯病抗性和感病品系的遗传分析表明,抗性表型由单个显性基因介导。我们在4号假染色体上一个108 kb的区域内鉴定出了蔓枯病抗性基因候选物。我们的研究结果证实了超密集遗传图谱在定位目标基因以及鉴定新的抗病基因方面的实用性。