Key Laboratory of Crop Germplasm Resources and Utilization, Ministry of Agriculture, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Key Laboratory of Crop Genetics and Breeding of Hebei Province, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, China.
Theor Appl Genet. 2017 Nov;130(11):2375-2393. doi: 10.1007/s00122-017-2965-6. Epub 2017 Aug 22.
A novel genetic linkage map was constructed using SSR markers and stable QTLs were identified for six drought tolerance related-traits using single-environment analysis under irrigation and drought treatments. Mungbean (Vigna radiata L.) is one of the most important leguminous food crops. However, mungbean production is seriously constrained by drought. Isolation of drought-responsive genetic elements and marker-assisted selection breeding will benefit from the detection of quantitative trait locus (QTLs) for traits related to drought tolerance. In this study, we developed a full-coverage genetic linkage map based on simple sequence repeat (SSR) markers using a recombinant inbred line (RIL) population derived from an intra-specific cross between two drought-resistant varieties. This novel map was anchored with 313 markers. The total map length was 1010.18 cM across 11 linkage groups, covering the entire genome of mungbean with a saturation of one marker every 3.23 cM. We subsequently detected 58 QTLs for plant height (PH), maximum leaf area (MLA), biomass (BM), relative water content, days to first flowering, and seed yield (Yield) and 5 for the drought tolerance index of 3 traits in irrigated and drought environments at 2 locations. Thirty-eight of these QTLs were consistently detected two or more times at similar linkage positions. Notably, qPH5A and qMLA2A were consistently identified in marker intervals from GMES5773 to MUS128 in LG05 and from Mchr11-34 to the HAAS_VR_1812 region in LG02 in four environments, contributing 6.40-20.06% and 6.97-7.94% of the observed phenotypic variation, respectively. None of these QTLs shared loci with previously identified drought-related loci from mungbean. The results of these analyses might facilitate the isolation of drought-related genes and help to clarify the mechanism of drought tolerance in mungbean.
构建了一张新的遗传连锁图谱,利用 SSR 标记,在灌溉和干旱处理下的单一环境分析中,鉴定了与 6 个耐旱相关性状的稳定 QTL。绿豆(Vigna radiata L.)是最重要的豆科粮食作物之一。然而,绿豆的生产受到干旱的严重制约。耐旱遗传因子的分离和标记辅助选择育种将受益于检测与耐旱相关性状的数量性状位点(QTL)。在这项研究中,我们利用两个抗旱品种的种内杂交产生的重组自交系(RIL)群体,开发了一张基于简单序列重复(SSR)标记的全覆盖遗传连锁图谱。该图谱共包含 313 个标记,总图谱长度为 1010.18 cM,覆盖绿豆全基因组,标记密度为 1 个标记/3.23 cM。随后,我们在两个地点的灌溉和干旱环境中检测到了 58 个与株高(PH)、最大叶面积(MLA)、生物量(BM)、相对水分含量、首次开花天数和产量(Yield)相关的 QTL,以及 5 个与 3 个性状耐旱指数相关的 QTL。其中 38 个 QTL 在相似的连锁位置上被两次或更多次一致检测到。值得注意的是,qPH5A 和 qMLA2A 在 LG05 上从 GMES5773 到 MUS128 和 LG02 上从 Mchr11-34 到 HAAS_VR_1812 区域的标记区间中被一致鉴定出来,分别解释了 6.40-20.06%和 6.97-7.94%的表型变异。这些 QTL 与绿豆中先前鉴定的与干旱相关的基因座均无重叠。这些分析的结果可能有助于分离与干旱相关的基因,并有助于阐明绿豆耐旱的机制。