作物学报 ›› 2022, Vol. 48 ›› Issue (3): 635-643.doi: 10.3724/SP.J.1006.2022.14008
王娟1(
), 张彦威2, 焦铸锦1, 刘盼盼1, 常玮1,*(
)
WANG Juan1(
), ZHANG Yan-Wei2, JIAO Zhu-Jin1, LIU Pan-Pan1, CHANG Wei1,*(
)
摘要:
基于量化染色体区间上与目标性状相关多态性位点的富集程度这一原理开发的PyBSASeq算法, 被证实更适合进行基于BSA-seq技术的复杂数量性状遗传解析。本研究采用该算法, 以‘滑皮豆’和‘齐黄26’为亲本杂交所衍生的包含149个RILs为材料, 挖掘与大豆百粒重相关位点, 共获得11个与目标性状紧密关联的候选区域, 分别位于1号、2号、4号、7号、9号、14号和16号染色体, 其中qSW4-1、qSW9-1、qSW9-2和qSW7-1与已报道大豆百粒重QTL位置一致。候选区域共包含218个编码基因, 根据基因表达特性和单倍型分析结果, 最终获得2个与目标性状相关的候选基因Glyma.02G075000和Glyma.04G082500, 分别参与蔗糖的运输和维生素E的生物合成。研究结果将有助于大豆百粒重遗传机制的阐释, 并为基于BSA-Seq技术的数量性状研究提供参考。
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