Construction of an ultrahigh-density genetic linkage map for Jatropha curcas L. and identification of QTL for fruit yield
文献类型： 外文期刊
作者： Xia, Zhiqiang 1 ; Zhang, Shengkui 1 ; Wen, Mingfu 1 ; Lu, Cheng 1 ; Sun, Yufang 1 ; Zou, Meiling 1 ; Wang, Wenquan 1 ;
作者机构： 1.Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Haikou, Hainan, Peoples R China
2.Huazhong Agr Univ, Wuhan, Hubei, Peoples R China
关键词： Jatropha curcas;Ultrahigh-density linkage map;Fruit yield;QTL analysis
期刊名称：BIOTECHNOLOGY FOR BIOFUELS （ 影响因子：6.04； 五年影响因子：6.485 ）
ISSN： 1754-6834
年卷期： 2018 年 11 卷
页码：
收录情况： SCI
摘要： Background: As an important biofuel plant, the demand for higher yield Jatropha curcas L. is rapidly increasing. However, genetic analysis of Jatropha and molecular breeding for higher yield have been hampered by the limited number of molecular markers available. Results: An ultrahigh-density linkage map for a Jatropha mapping population of 153 individuals was constructed and covered 1380.58 cM of the Jatropha genome, with average marker density of 0.403 cM. The genetic linkage map consisted of 3422 SNP and indel markers, which clustered into 11 linkage groups. With this map, 13 repeatable QTLs (reQTLs) for fruit yield traits were identified. Ten reQTLs, qNF-1, qNF-2a, qNF-2b, qNF-2c, qNF-3, qNF-4, qNF-6, qNF-7a, qNF-7b and qNF-8, that control the number of fruits (NF) mapped to LGs 1, 2, 3, 4, 6, 7 and 8, whereas three reQTLs, qTWF-1, qTWF-2 and qTWF-3, that control the total weight of fruits (TWF) mapped to LGs 1, 2 and 3, respectively. It is interesting that there are two candidate critical genes, which may regulate Jatropha fruit yield. We also identified three pleiotropic reQTL pairs associated with both the NF and TWF traits. Conclusion: This study is the first to report an ultrahigh-density Jatropha genetic linkage map construction, and the markers used in this study showed great potential for QTL mapping. Thirteen fruit-yield reQTLs and two important candidate genes were identified based on this linkage map. This genetic linkage map will be a useful tool for the localization of other economically important QTLs and candidate genes for Jatropha.
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