水稻穗部性状的QTL分析

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吴亚辉, 陶星星, 肖武名, 郭涛, 刘永柱, 王慧, 陈志强. 水稻穗部性状的QTL分析. 作物学报, 2014, 40(2): 214-221[WU Ya-Hui, TAO Xing-Xing, XIAO Wu-Ming, GUO Tao, LIU Yong-Zhu, WANG Hui, CHEN Zhi-Qiang. Dissection of QTLs for Panicle Traits in Rice (Oryza sativa) . 作物学报, 2014, 40(2): 214-221] 复制到剪切板

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作物学报编辑部

水稻穗部性状的QTL分析

吴亚辉, 陶星星, 肖武名^*, 郭涛, 刘永柱, 王慧, 陈志强^*

华南农业大学国家植物航天育种工程技术中心, 广东广州510642

^* 通讯作者(Corresponding authors): 陈志强, E-mail:chenlin@scau.edu.cn, Tel: 020-85280005; 肖武名, E-mail:heredity24@126.com, Tel: 020-85285871

收稿日期:2013-08-29

基金:本研究由国家高技术研究发展计划(863计划)项目(2012AA101201), 广东省科技计划项目(2011A020102004)和国家现代农业产业技术体系建设专项(CARS-01-12)资助。

摘要

水稻穗部性状与产量关系密切。以粳稻品种日本晴和一个大穗籼稻材料H71D为亲本构建F₂群体, 于2011和2012年分别以172个单株和138个单株, 对穗长、一次枝梗数、二次枝梗数、总粒数、穗着粒密度等5个穗部性状进行QTL定位。以LOD≥3为阈值, 两年共检测到38个QTL, 其中2011年21个, 2012年17个, 2年重复检测到的QTL为4个, 占总数的10.5%。5个性状之间大都具有显著的表型相关性, 相关性较强的性状之间具有较多相同或紧密连锁的QTL, 效应值较大的QTL易于在不同群体和不同环境中被重复检测到。检测到的QTL为进一步进行元分析和精细定位打下了基础, 也为通过分子标记辅助选择提高产量提供了有用信息。

关键词: 水稻; 穗部性状; QTL定位

Dissection of QTLs for Panicle Traits in Rice (Oryza sativa)

WU Ya-Hui, TAO Xing-Xing, XIAO Wu-Ming^*, GUO Tao, LIU Yong-Zhu, WANG Hui, CHEN Zhi-Qiang^*

National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou 510642, China

Abstract

Rice yield potential is closely related to panicle traits. QTLs for five panicle traits including panicle length, number of primary branches, number of secondary branches, spikelets per panicle and seed setting density were identified by using 172 plants and 138 plants from a F₂ population derived from a cross between Nipponbare and H71D in 2011 and 2012 respectively. A total of 38 QTLs were detected in the two trials, including 21 QTLs in 2011 and 17 QTLs in 2012, of them four QTLs (only 10.5%) were repeatedly detected in both years. Some QTLs controlling different traits shared the same maker interval on the chromosome with each other, which was consistent with their significant phenotypic correlations. QTLs with large effects are easily to be detected in kinds of populations and different environments. These QTLs provide useful information for meta-analysis and fine mapping, as well as MAS for high-yield rice breeding.

Keyword: Rice; Panicle traits; QTL analysis

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稻穗是水稻产量的最终体现部位, 穗部性状在产量结构中起着重要作用。水稻穗形相关性状包括穗长、一次枝梗数、二次枝梗数、总粒数、穗着粒密度等。穗着粒密度是总粒数和穗长之比。研究穗形相关性状对选育穗长适中、枝梗数分布合理、着粒密度适当增加的理想品种具有重要意义^{[ 1, 2, 3]}。

水稻穗部相关性状QTL (quantitative trait locus)的定位研究已经有很多报道, 不同研究者利用各种群体定位的结果不尽相同。郭龙彪等^{[ 4]}利用水稻汕优63 (珍汕97×明恢63)重组自交系群体241个株系, 对9个重要农艺性状进行年度间的QTL定位, 2年共检测到64个QTL, 其中2年均检测到的穗长、每穗总粒数、每穗实粒数QTL均只有1个。叶少平等^{[ 5]}利用以培矮64S和Nipponbare为亲本构建的F₂群体, 对单株穗数、每穗粒数、每穗实粒数、结实率、着粒密度、千粒重6个产量构成性状进行QTL定位, 共检测到22个QTL, 其中对每穗粒数、每穗实粒数、着粒密度3个性状分别检测到7、3和4个QTL。程桂平等^{[ 6]}以广陆矮4号为母本及轮回亲本, 普通野生稻( Oryza rufipogon)为父本, 构建的BC₂F₂群体, 对14个产量相关性状进行QTL定位, 共检测到分别控制穗长、每穗总粒数、每穗实粒数、穗着粒密度的QTL为3、3、1和2个。由此可见, 控制水稻穗部性状的基因座具有较广泛的遗传多样性, 而且其遗传表达易受环境条件的影响。因此, 利用不同的定位群体在不同条件下对水稻穗部性状进行QTL分析, 有望鉴定出一些稳定表达的或者新的基因座位, 从而丰富水稻穗部性状研究的理论基础。

本研究利用一个来源于日本晴/H71D的F₂群体, 分别于2011年和2012年对172个单株和138个单株的穗长、一次枝梗数、二次枝梗数、总粒数、穗着粒密度等5个性状进行QTL分析, 并与前人的研究结果进行比较, 这将有助于加深我们对水稻穗部性状遗传多样性的认识, 并为进一步的元分析以及利用分子标记辅助选择聚合水稻穗部性状基因提供一定的理论依据。

1 材料与方法

1.1 材料

以粳稻日本晴(Nipponbare)为母本、大穗籼稻品种H71D为父本进行杂交, 于2010年早造配制Nipponbare/H71D杂交组合, F₁自交后分别于2011年晚造和2012年晚造种植成F₂群体。

1.2 田间种植与性状考察

分别于2011年和2012年晚造于华南农业大学校内农场按宽窄行(窄行20 cm、宽行40 cm)种植日本晴、H71D以及F₂群体, 单本插。田间水肥管理同常规大田。

成熟后取主穗按申宗坦^{[ 7]}的方法考种。考察5~10株亲本的主穗, 取平均值, 2011晚造和2012晚造分别随机取172个和138个F₂单株的主穗, 考察穗长(panicle length, PL)、一次枝梗数(number of primary branches, PB)、二次枝梗数(number of secondary branches, SB)、每穗总粒数(spikelets per panicle, SPP)、穗着粒密度(seed setting density, SD)等, 其中穗着粒密度是每穗总粒数与穗长的比值, 单位为粒 cm^-1。遵循McCouch等^{[ 8]}的方法命名QTL。

1.3 图谱构建与QTL定位

从已发表的408对SSR引物中选取123对多态性较好的引物, 参考Cornell SSR 2001及Gramene上(http://www.gramene.org/)公布的其他遗传图谱调整部分引物的顺序(籼粳杂交标记偏分离比较严重, 而偏分离会影响标记的排序^{[ 9, 10, 11]}), 利用IciMapping 3.2^{[ 12]}构建覆盖水稻基因组1927 cM的遗传图谱, 标记间平均距离为15.7 cM。采用ICIM-ADD方法对5个穗部性状进行QTL定位分析, 取LOD=3.0为阈值检测QTL存在与否。若LOD≥3.0, 则认为该区间LOD值最高处所对应的位点即为该性状的1个QTL, 同时计算出每个QTL的加性效应和对性状的贡献率。

2 结果与分析

2.1 亲本与群体的性状表现

2011年和2012年F₂群体及其双亲5个穗部性状均存在显著或极显著性差异(表1), 表明2个亲本的遗传差异较大, 有利于QTL定位。除一次枝梗数外, F₂其他4个性状均出现不同程度超亲分离; F₂群体各性状的偏度和峰度的绝对值都小于或约等于1, 说明这些性状都呈正态分布, 且均为多基因控制的数量性状。

2.2 F₂群体各性状间的相关性

2011年晚造F₂群体的总粒数与穗长、一次枝梗数的相关性不显著, 穗长与穗着粒密度呈负相关, 其他性状间则呈极显著正相关; 2012年晚造各性状间均为极显著正相关(表2)。这说明穗部各性状间的关系极复杂, 同时容易受环境的影响。

2.3 穗部性状的QTL分析

2.3.1 2011年穗部性状QTL的定位结果 2011年共检测到影响5个性状表现的21个QTL (表3), 分布于除了第4和第9染色体外的其他10条染色体上, LOD值介于3.04~6.94。这些QTL解释的表型变异贡献率变幅为7.17%~25.67%, 其中表型变异贡献率大于10%的QTL有18个。共检测到2个穗长QTL, 均位于第12染色体上, qPL-12-1和 qPL-12-2两个位点的LOD值分别为3.19和3.04, 贡献率分别为15.85%和15.99%。两个穗长QTL的加性效应均为负值, 增效等位基因均来自H71D。共检测到6个一次枝梗数QTL, LOD值范围为3.04~6.17, 其中 qPB-3-1和 qPB-10-4两个QTL的增效等位基因来自于Nipponbare, 其他4个QTL的增效等位基因均来自H71D。共检测到4个二次枝梗数QTL, 增效等位基因均来自H71D, 总的表型变异贡献率高达76.15%。共检测到4个总粒数QTL, 增效等位基因也都来自H71D, 其中 qSPP-10-1的表型变异贡献率高达25.67%, qSPP-11-1的加性效应高达-45.6粒。共检测到5个穗着粒密度QTL, 其增效等位基因也都来自H71D, 表型变异贡献率变幅为9.30%~24.58%, 加性效应变幅为-0.56 ~ -1.51粒 cm^-1。

表1 亲本及F₂代群体穗部性状的表现 Table 1 Phenotypic performance of panicle traits between parents and the F₂ population from the cross of Nipponbare/H71D

表2 各性状间的相关性 Table 2 Correlation coefficient between observed traits in the F₂ population

2.3.2 2012年穗部性状QTL的定位结果 2012年共检测到5个性状的QTL为17个(表3), 分布于6条染色体上, LOD值介于3.06~5.99, 解释的表型变异贡献率为9.29%~52.62%, 其中表型变异贡献率大于10%的QTL 16个。检测到影响穗长的QTL只有位于第6染色体上的 qPL-6-1, 其LOD值为3.23, 贡献率为15.22%。2012年没有检测到影响一次枝梗数的QTL。共检测到4个二次枝梗数QTL, 其增效等位基因均来自H71D, 其中 qSB-1-2和 qSB-10-1的表型变异贡献率分别为25.02%和21.35%。共检测到5个总粒数QTL, 其增效等位基因都来自H71D, 其中 qSPP-10-1的表型变异贡献率高达52.62%, 加性效应高达-64.29粒。共检测到7个穗着粒密度QTL, 除 qSD-7-1外增效等位基因全部来自H71D, 表型变异贡献率变幅为10.57%~45.33%, 加性效应变幅为-2.06~0.68粒 cm^-1。

2.3.3 2年定位结果的比较 2年共检测到38个QTL, 其中2011年21个, 2012年17个, 2年间重复检测到的QTL有4个(表3和图1), 占总数的10.53%。

2011年共检测到2个穗长QTL, 2012年只检测到1个穗长QTL, 2年中没有重复检测到的穗长QTL; 2011年共检测到6个一次枝梗数QTL, 但在2012年没有检测到一次枝梗数QTL, 可能与LOD阈值的设定有关, 同时表明一次枝梗数受环境影响较大; 2年均检测到4个二次枝梗数的QTL, 其中 qSB-1.1被重复检测到, 且2年的贡献率均大于10%; 2年共检测到控制穗粒数的QTL有8个, 其中重复检测到的 qSPP-10-1在2011年和2012年的贡献率分别高达25.67%和52.62%; 2年共检测到控制穗着粒密度的QTL 12个, 重复检测到的QTL有2个( qSD-1-1和 qSD-10-1), 两者的贡献率均较大, 2012年检测到的 qSD-7-1和 qSD-7-2的增效等位基因来自于Nipponbare。第1染色体上的 qPB-1-1、 qSB-1-1、 qSPP-1-1和 qSD-1-1均在分子标记RM495~RM84区间内, 该区间可能存在一个同时控制一次枝梗数、二次枝梗数、总粒数和穗着粒密度的QTL; 第10染色体上的 qPB-10-2、 qSPP- 10-1、 qSD-10-1等3个QTL均位于区间RM147~ RM228, 表明该位点可能存在一个效应值较大的多效性主效QTL。

表3 2年间5个穗部性状的QTL定位结果及遗传参数估算 Table 3 Identification of QTLs for five panicle traits in F₂ population and their genetic parameters estimated in 2011 and 2012

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	图1 2年中检测到的穗部性状QTL在染色体上的位置表示2年重复检测到的QTL。Fig. 1* Location of the QTLs for panicle traits detected in 2011 and 2012 in the genetic map* Indicates the QTL detected in two years.

3 讨论

3.1 QTL的稳定性

前人的很多研究表明, 数量性状极易受环境的影响, 控制同一性状的QTL在不同定位群体中有不同的表现, 同一群体在不同环境、不同年份的检测结果往往也会有所不同^{[ 4, 5, 6]}。本研究也发现同一群体不同年份间检测到的QTL差异是很明显的。2年共检测到5个性状的38个QTL, 其中重复检测的只有

4个, 重复率分别为19.0%和23.5%, 其2年间的贡献均大于10%, 表明这4个QTL在不同年份和条件下变化较小, 这些对环境影响不敏感且效应值较高的QTL对分子标记辅助选择育种具有较大价值。

3.2 多效性QTL与QTL簇

QTL的多效性指的是同一区间的QTL同时对多个性状产生作用, 这种情况在动植物中普遍存在^{[ 13, 14, 15, 16]}。本研究的QTL定位结果也证实QTL多效性的存在。如第1染色体上的 qPB-1-1、 qSB-1-1、

qSPP-1-1和 qSD-1-1均在分子标记RM495~RM84区间内, 该区间可能存在一个同时控制一次枝梗数、二次枝梗数、总粒数和穗着粒密度的QTL; 还有第10染色体上的 qPB-10-2、 qSPP-10-1、 qSD-10-1等3个QTL均位于区间RM147-RM228, 表明该位点可能存在一个效应值较大的多效性主效QTL。这些集中分布的QTL与性状间的相关性是一致的。这种QTL成簇分布的现象在遗传上通常表现为一因多效或基因的连锁或基因重叠, 可能是一些具有多效性的未知关键因子同时控制着多种代谢途径, 从而使相关性状在自然选择过程中形成相互适应的有利性状^{[ 17]}, 要探究其真正原因还需要通过构建近等基因系进行精细定位和克隆来进一步分析。

3.3 与前人定位结果的比较

目前穗部性状的研究已经有很多。邢永忠等^{[ 18]}通过珍汕97/明恢63的重组自交系群体对5个穗部性状进行QTL分析, 以LOD≥2.3为阈值分别检测到10、3、6、8、7个每穗颖花数、每穗实粒数、结实率、穗长和穗着粒密度QTL。李绍波等^{[ 19]}在大田直播条件下, 利用来源于“Lemont/特青”的重组自交系群体, 对6个穗部性状进行QTL分析, 以LOD≥2.0为阈值检测到19个QTL, 其中控制穗长、一次枝梗数、二次枝梗数、每穗颖花数、着粒密度的QTL分别为4、2、4、2和4个。沈希宏等^{[ 20]}通过对281个株系组成的超级杂交稻协优9308重组自交系群体2年的数据对7个穗部性状进行QTL检测, 以LOD≥2.5为阈值检测到52个QTL, 其中包括7个控制穗长的QTL, 8个控制一次枝梗数的QTL, 9个控制二次枝梗数的QTL, 6个控制着粒密度的QTL, 7个控制每穗总粒数的QTL。王智权等^{[ 21]}以Asominori/IR24构建的染色体片段代换系于2007和2008年对穗部性状进行定位, 以LOD≥2.0为阈值共检测到5个性状的33个QTL, 其中2年同时检测到的稳定表达的QTL有10个。通过BioMercator V3.1整合部分已发表的研究结果(目前收集到79份图谱, 共600个QTL, 详细数据未列出), 发现本研究的结果与前人的研究结果有很多相同之处。如第1染色体上RM490附近的QTL簇在刘头明^{[ 22]}的研究中有过报道, RM428附近的 qSPP-1-2在叶少平等^{[ 5]}的研究中也有过报道; 在第6染色体RM584和RM136附近的QTL簇在沈希宏等^{[ 20]}、刘头明^{[ 22]}以及Marathi等^{[ 23]}的研究中均有过报道; 第7染色体上的 qPB-7-1在黄成^{[ 24]}的研究中有过报道。

本研究2年间重复检测到的4个QTL表型变异贡献率均高于10% (表3)。其中2个QTL qSPP-10-1和 qSD-10-2已经被报道, qSPP-10-1在叶少平等^{[ 5]}、Mei等^{[ 25]}、Jing等^{[ 26]}和Bai等^{[ 27]}的研究中表型变异贡献率分别为11%、11%、31%和14%, qSD-10-2在叶少平等^{[ 5]}和Jing等^{[ 26]}的研究中的表型变异贡献率分别为13%和22%。这2个效应较大的QTL位于同一位点, 该位点可能存在一个同时控制每穗粒数和穗着粒密度的多效性QTL, 可以考虑构建次级作图群体对这些效应较大的QTL进行精细定位。其他2个重复检测到的QTL ( qSB-1-1和 qSD-1-1)暂时未见于收集到的文献资料, 这些位点是否是本研究检测到的新位点还有待进一步整合更多已报道的位点并进行元分析。

4 结论

本研究构建了覆盖水稻基因组1927 cM的遗传图谱, 标记间平均距离为15.7 cM。对穗长、一次枝梗数、二次枝梗数、总粒数、穗着粒密度等5个穗部性状进行QTL定位分析, 2年共检测到38个QTL, 包括2011年的21个, 2012年的17个。2年重复检测到的QTL有4个, 占总数的10.5%, 表型变异贡献率较大的QTL受环境影响较小, 较容易被重复检测。5个性状之间大都具有显著的表型相关性, 相关性较强的性状之间具有较多相同或紧密连锁的QTL。与前人的研究结果相比, 本研究中检测到的部分穗部性状QTL已经有过报道, 其中不乏2年均检测到且效应非常大的QTL (如第10染色体上的 qSPP-10-1和 qSD-10-2), 可以考虑构建次级作图群体对这些QTL进行精细定位。

The authors have declared that no competing interests exist.

作者已声明无竞争性利益关系。The authors have declared that no competing interests exist.

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1	靳德明, 王维金, 蓝盛银, 徐珍秀, 杨书化. 培矮64s/E32产量构成因素和穗部性状的杂种优势及相关分析. 华中农业大学学报, 2001, 20: 516-521 Jin D M, Wang W J, Lan S Y, Xu Z X, Yang S H. Heterosis and correlative analysis of yield components and panicle characters of Pei’ai 64s/E32. J Huazhong Agric Univ, 2001, 20: 516-521 (in Chinese with English abstract) [本文引用:1] [CJCR: 0.849]
2	徐正进, 陈温福, 孙占惠, 张树林, 刘丽霞, 周淑清. 辽宁水稻籽粒在穗轴上分布特点及其与结实性的关系. 中国农业科学, 2004, 37: 963-967 Xu Z J, Chen W F, Sun Z H, Zhang S L, Liu L X, Zhou S Q. Distribution of rice grain on panicle axis and its relationship with seed setting in Liaoning. Sci Agric Sin, 2004, 37: 963-967 (in Chinese with English abstract) [本文引用:1] [CJCR: 1.889]
3	董桂春, 居静, 于小风, 张燕, 赵江宁, 李进前, 田昊, 张彪, 王余龙. 不同穗重类型常规籼稻品种产量形成的差异研究. 扬州大学学报(农业与生命科学版), 2010, 31(1): 49-54 Dong G C, Ju J, Yu X F, Zhang Y, Zhao J N, Li J Q, Tian H, Zhang B, Wang Y S. Study of difference of yield formation in conventional Indica rice cultivars with different panicle weight. J Yangzhou Univ (Agric & Life Sci Edn), 2010, 31(1): 49-54 (in Chinese with English abstract) [本文引用:1]
4	郭龙彪, 罗利军, 邢永忠, 徐才国, 梅捍卫, 王一平, 钟代彬, 钱前, 应存山, 石春海. 水稻重要农艺性状的两年QTL剖析. 中国水稻科学, 2003, 17: 211-218 Guo L B, Luo L J, Xing Y Z, Mei H W, Wang Y P, Zhong D B, Qian Q, Ying C S, Shi C H. Dissection of QTLs in two years for important agronomic traits in rice (Oryza sativa L. ). Chin J Rice Sci, 2003, 17: 211-218 (in Chinese with English abstract) [本文引用:2] [CJCR: 1.494]
5	叶少平, 张启军, 李杰勤, 赵兵, 李平. 用(培矮64s/Nipponbare) F₂群体对水稻产量构成性状的QTL定位分析. 作物学报, 2005, 31: 1620-1627 Ye S P, Zhang Q J, Li J Q, Zhao B, Li P. QTL mapping for yield component traits using (Pei’ai 64s/Nipponbare) F₂ population. Acta Agron Sin, 2005, 31: 11-17 (in Chinese with English abstract) [本文引用:5] [CJCR: 1.667]
6	程桂平, 冯九焕, 梁国华, 刘向东, 李金泉. 栽培稻与普通野生稻BC₂F₂群体产量相关性状的QTL分析. 中国水稻科学, 2006, 20: 553-556 Cheng G P, Feng J H, Liang G H, Liu X D, Li J Q. Identification of QTLs for agronomic traits associated with yield in a BC₂F₂ population between Oryza sativa and Oryza rufipogon. Chin J Rice Sci, 2006, 20: 533-556 (in Chinese with English abstract) [本文引用:2] [CJCR: 1.494]
7	申宗坦. 作物育种学实验. 北京: 中国农业出版社, 1995. pp102-107 Shen Z T. Crop Breeding Experiment. Beijing: China Agriculture Press, 1995. pp102-107(in Chinese) [本文引用:1]
8	McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinosita T. Report on QTL nomenclature. Rice Genet Newslett, 1997, 14: 11-13 [本文引用:1]
9	Lorieux M, Perrier X, Goffinet B, Lanaud C, De León D G. Maximum-likelihood models for mapping genetic markers showing segregation distortion: 1. Backcross populations. Theor Appl Genet, 1995, 90: 73-80 [本文引用:1] [JCR: 3.658]
10	Lorieux M, Perrier X, Goffinet B, Lanaud C, De León D G. Maximum-likelihood models for mapping genetic markers showing segregation distortion. 2. F₂ populations. Theor Appl Genet, 1995, 90: 81-89 [本文引用:1] [JCR: 3.658]
11	朱成松, 王付华, 王建飞, 李广军, 张红生, 章元明. 回交、DH和RIL偏分离群体遗传图谱的重新构建. 科学通报, 2007, 52: 918-922 Zhu C S, Wang F H, Wang J F, Li G J, Zhang H S, Zhang Y M. Genetic maps reconstruct of backcross, DH, and RIL segregation distortion populations. Chin Sci Bull, 2007, 52: 918-922 (in Chinese) [本文引用:1] [CJCR: 0.95]
12	Wang J K, Li H H, Zhang L Y, Meng L. Users’ Manual of QTL IciMapping Version 3. 2, 2012 [本文引用:1]
13	Mangin B, Thoquet P, Grimsley N. Pleiotropic QTL analysis. Biometrics, 1998, 54: 88-99 [本文引用:1] [JCR: 1.412]
14	Freyer G, Sørensen P, Kühn C, Weikard R, Hoeschele I. Search for pleiotropic QTL on chromosome BTA6 affecting yield traits of milk production. J Dairy Sci, 2003, 86: 999-1008 [本文引用:1] [JCR: 2.566]
15	Sun F, Liu P, Ye J, Lo L C, Cao S Y, Li L, Yue G H, Wang C M. An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield. Biotech Biof, 2012, 5: 1-10 [本文引用:1] [JCR: 5.552]
16	Yan W H, Wang P, Chen H X, Zhou H J, Li Q P, Wang C R, Ding Z H, Zhang Y S, Yu S B, Xing Y Z. A major QTL, Ghd8, plays pleiotropic roles in regulating grain productivity, plant height, and heading date in rice. Mol Plant, 2011, 4: 319-330 [本文引用:1] [JCR: 6.126] [CJCR: 0.9487]
17	Cai H, Morishima H. QTL clusters reflect character associations in wild and cultivated rice. Theor Appl Genet, 2002, 104: 1217-1228 [本文引用:1] [JCR: 3.658]
18	邢永忠, 徐才国, 华金平, 谈移芳. 水稻穗部性状的QTL与环境互作分析. 遗传学报, 2001, 28: 439-446 Xing Y Z, Xu C G, Hua J P, Tan Y H. Analysis of QTL× environment interaction for rice panicle characteristics. Acta Genet Sin, 2001, 28: 439-446 (in Chinese with English abstract) [本文引用:1]
19	李绍波, 杨国华, 章志宏, 李绍清, 李阳生, 朱英国. 直播条件下水稻6个穗部性状的QTL分析. 武汉植物学研究, 2009, 27: 467-472 Li S B, Yang G H, Zhang Z H, Li S Q, Li Y S, Zhu Y G. Mapping of QTL controlling 6 panicle traits of rice under direct-sowing environment. J Wuhan Bot Res, 2009, 27: 467-472 (in Chinese with English abstract) [本文引用:1]
20	沈希宏, 曹立勇, 陈深广, 占小登, 吴伟明, 程式华. 超级杂交稻协优9308重组自交系群体的穗部性状QTL分析. 中国水稻科学, 2009, 23: 354-362 Shen X H, Cao L Y, Chen S G, Zhan X D, Wu W M, Cheng S H. Dissection of QTLs for panicle traits in recombinant inbred lines derived from super hybrid rice, Xieyou 9308. Chin J Rice Sci, 2009, 23: 354-362 (in Chinese with English abstract) [本文引用:2] [CJCR: 1.494]
21	王智权, 刘喜, 江玲, 刘世家, 陈亮明, 尹长斌, 翟虎渠, 万建民. 控制水稻穗形相关性状的QTL定位. 江苏农业学报, 2011, 27: 5-12 Wang Z Q, Liu X, Jiang L, Liu S J, Chen L M, Yin C B, Zhai H Q, Wan J M. Ditection of QTLs for related traits of panicle in rice (Oryza sativa L. ). Jiangsu J Agric Sci, 2011, 27: 5-12 (in Chinese with English abstract) [本文引用:1] [CJCR: 0.895]
22	刘头明. 水稻每穗颖花数的遗传基础剖析及其主效QTLs精细定位. 华中农业大学博士学位论文. 2009 Liu T M. Dissection of the Genetic Bases of the Number of Spikelets per Panicle and Fine Mapping of Its Major QTLs. PhD Dissertation of Huazhong Agricultural University, 2009 (in Chinese with English abstract) [本文引用:2]
23	Marathi B, Guleria S, Mohapatra T, Parsad R, Mariappan N, Kurungara N, Atwal S S, Prabhu K V, Singh N K, Singh A K. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L. ). BMC Plant Biol, 2012, 12: 137 [本文引用:1] [JCR: 4.354]
24	黄成. 水稻几个农艺性状的QTL分析. 沈阳农业大学硕士学位论文, 2010 Huang C. QTL Analysis of Several Rice Agronomic Characters. MS Thesis of Shenyang Agricultural University, 2009 (in Chinese with English abstract) [本文引用:1]
25	Mei H W, Xu J L, Li Z K, Yu X Q, Guo L B, Wang Y P, Ying C S, Luo L J. QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L. ). Theor Appl Genet, 2006, 112: 648-656 [本文引用:1] [JCR: 3.658]
26	Jing Z B, Qu Y Y, Pan D J, Fan Z L, Chen J Y, Li C. QTL analysis of yield-related traits using an advanced backcross population derived from common wild rice (Oryza rufipogon L. ). Mol Plant Breed, 2010, 1: 1-10 [本文引用:2] [CJCR: 1.23]
27	Bai X F, Luo L J, Yan W H, Kovi M R, Xing Y Z. Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars. J Genet, 2011, 90: 209-215 [本文引用:1] [JCR: 0.876]

2001

0.0

0.849

... 研究穗形相关性状对选育穗长适中、枝梗数分布合理、着粒密度适当增加的理想品种具有重要意义^[1,2,3] ...

2004

0.0

1.889

Sci Agric Sin. 2004, 37(7):963 - 963

(辽宁水稻籽粒在穗轴上分布特点及其与结实性的关系).(中国农业科学),2004,37:963-967

.Distribution of rice grain on panicle axis and its relationship with seed setting in Liaoning

辽宁水稻籽粒在穗轴上分布特点及其与结实性的关系

(徐正进),(陈温福),(孙占惠),(张树林),(刘丽霞),(周淑清).(辽宁水稻籽粒在穗轴上分布特点及其与结实性的关系).(中国农业科学),2004,37:963-967

@徐正进$农业部作物生理生态与遗传育种重

@徐正进$农业部作物生理生态与遗传育种重点开放实验室/辽宁省北方粳稻育种重点实验室/沈阳农业大学水稻研究所!沈阳110161 @陈温福$农业部作物生理生态与遗传育种重点开放实验室/辽宁省北方粳稻育种重点实验室/沈阳农业大学水稻研究所!沈阳110161 @孙占惠$农业部作物生理生态与遗传育种重点开放实验室/辽宁省北方粳稻育种重点实验室/沈阳农业大学水稻研究所!沈阳110161 @张树林$农业部作物生理生态与遗传育种重点开放实验室/辽宁省北方粳稻育种重点实验室/沈阳农业大学水稻研究所!沈阳110161

以辽宁近年来育成的水稻品种(系)为试材进行研究,结果表明,供试品种可以分为高、中、低产3种类型,穗数是高产品种<中产品种<低产品种,每穗粒数和结实率相反,千粒重无显著变化;高产品种生物产量高于中、低产品种,高、中产品种经济系数高于低产品种;产量与穗数呈极显著负相关,与每穗粒数、结实率、一次枝梗粒数、二次枝梗粒数、着粒密度及经济系数呈显著或极显著正相关;产量与每穗粒数关系最密切,而每穗粒数主要由二次枝梗粒数决定,其次是着粒密度和一次枝梗粒数。二次枝梗结实率与整穗结实率呈极显著正相关,与产量亦呈极显著正相关;高

... 研究穗形相关性状对选育穗长适中、枝梗数分布合理、着粒密度适当增加的理想品种具有重要意义^[1,2,3] ...

2010

0.0

... 研究穗形相关性状对选育穗长适中、枝梗数分布合理、着粒密度适当增加的理想品种具有重要意义^[1,2,3] ...

2003

0.0

1.494

Chin J Rice Sci. 2003, 17(3):211 - 218

Dissection of QTLs in Two Years for Important Agronomic Traits in Rice (Oryza sativa L.)

水稻重要农艺性状的两年QTL剖析

GUO Long-biao; LUO Li-jun; XING Yong-zhong; XU Cai-guo; MEI Han-wei; WANG Yi-ping; ZHONG Dai-bin; QIAN Qian; YING Cun-shan; SHI Chun-hai

郭龙彪1,2; 罗利军3,4; 邢永忠4; 徐才国4; 梅捍卫3; 王一平1; 钟代彬1; 钱前1

QTL for nine important agronomic traits including plant height, heading time, yield and yield components were investigated in two years (1999-2000) by using a population of 241 RIL population derived from an elite hybrid cross of “Zhenshan 97 × Minghui 63”. Results showed that the tremendous transgressive segregations for nine traits were observed in the population and the frequencies of these traits were approximately normally distributed. A total of 64 QTL distributed on 11 rice chromosomes except the forth one were detected in 1999 and 2000, including 45 and 35 QTL in 1999 and 2000, respectively, and 16 QTL were both found in two years. The contributions of QTL in 2000 were 2.83%-14.99%, which were lower than those in 1999. Different environments could affect QTL expressing, but differential expression of two-year QTL was not completely resulted from QTL×environment(QE) interactions, maybe it was the common results of lower heredity, lower genetic effects of QTL and QE interactions In addition, eight significant QE interactions were identified, but their genetic effects were obviously lower than those of related QTL.

利用水稻汕优63（珍汕97 × 明恢63）重组自交系群体241个株系，对株高、生育期、产量及其产量构成因子等9个重要农艺性状进行了年度间的QTL定位和比较。结果表明，9个性状的表现型在两年均为连续分布，且都存在一定数量的双向超亲遗传类型。两年共检测到64个QTL，分布于水稻除第4染色体外的其余11条染色体，其中1999年检测到45个，2000年检测到35个，两年相同的QTL共16个。2000年检测到的QTL贡献率介于283%~1499%，且大多低于1999年。不同环境可以影响QTL的表达，但表达差异并不全是QTL×环境(QE)互作结果，也可能是由于该性状的遗传力偏低、QTL本身效应偏低或QE互作等原因共同造成的。另外，检测到8个显著的QE互作，但其互作效应明显低于对应的QTL效应。

... 郭龙彪等^[4]利用水稻汕优63 (珍汕97#cod#x000d7 ...

... 1 QTL的稳定性前人的很多研究表明, 数量性状极易受环境的影响, 控制同一性状的QTL在不同定位群体中有不同的表现, 同一群体在不同环境、不同年份的检测结果往往也会有所不同^[4,5,6] ...

2005

0.0

1.667

Acta Agron Sin. 2005, 31(12):1620 - 1627

Identification of Quantitative Traits Loci for Yield Component Traits Using (Pei’ai64s/Nipponbare) F₂ Population

用(培矮64s/Nipponbare)F₂群体对水稻产量构成性状的QTL定位分析

YE Shao-Ping; ZHANG Qi-Jun; LI Jie-Qin; ZHAO Bing; LI Ping

叶少平; 张启军; 李杰勤; 赵兵;李平

Rice Research Institute of Sichuan Agricultural University, Wenjiang 611130, Sichuan

Recently QTL (quantitative trait loci) mapping has mostly adopted such markers as RFLP marker, which is costly and difficult to operate. Besides, in such mapping the genome information of the mapping parents is not known, which makes it difficult to compare and share the outcomes achieved by different researchera. QTL mapping, using genetic linkage map constructed by sequenced rice cultivar, will facilitate the application of rice genome outcomes, and can provide a basis for the comparison of different rice QTL mapping and molecular marker assistant selection. It will prove to be a pathway to integrate QTL mapping and genome findings application.

用水稻测序品种培矮64s和Nipponbare为亲本构建的含137个SSRs标记的连锁遗传图谱和（培矮64s/Nipponbare）F₂群体的180个单株，对水稻的单株有效穗数、穗粒数、穗实粒数、结实率、穗着粒密度、千粒重等6个产量构成性状进行了QTL定位分析。共检测到6个性状的22个QTLs，分布在第1、2、4、5、6、9、10、11、12等9条染色体的14个区域,表型贡献率5.0%-19.3%;相关性较强的性状之间具有较多共同或紧密连锁的QTLs;集中分布的QTLs之间既有同向连锁.对不同水稻群体定位的同源QTL进行了比较,对QTL在染色体上的集中分布,以及用QTL定位结果和生物信息学方法相结合预测基因的英勇等进行了探讨。

... 叶少平等^[5]利用以培矮64S和Nipponbare为亲本构建的F₂群体, 对单株穗数、每穗粒数、每穗实粒数、结实率、着粒密度、千粒重6个产量构成性状进行QTL定位, 共检测到22个QTL, 其中对每穗粒数、每穗实粒数、着粒密度3个性状分别检测到7、3和4个QTL ...

... 如第1染色体上RM490附近的QTL簇在刘头明^[22]的研究中有过报道, RM428附近的qSPP-1-2在叶少平等^[5]的研究中也有过报道 ...

... 其中2个QTL qSPP-10-1和qSD-10-2已经被报道, qSPP-10-1在叶少平等^[5]、Mei等^[25]、Jing等^[26]和Bai等^[27]的研究中表型变异贡献率分别为11%、11%、31%和14%, qSD-10-2在叶少平等^[5]和Jing等^[26]的研究中的表型变异贡献率分别为13%和22% ...

2006

0.0

1.494

Chin J Rice Sci. 2006, 20(5):553 - 556

Identification of QTLs for Agronomic Traits Associated with Yield in a BC₂F₂ Population BetweenOryza sativa andOryza rufipogon

栽培稻与普通野生稻BC2F2群体产量相关性状的QTL分析

CHENG Gui-ping , FENG Jiu-huan , LIANG Guo-hua , LIU Xiang-dong , LI Jin-quan

程桂平1;冯九焕1;梁国华2;刘向东1;李金泉1,*

A BC₂F₂ population was developed from an interspecific cross between a cultivated rice variety Guanglu′ai 4 (Oryza sativa ssp. indica) and a wild rice line from Oryza rufipogon by using Guanglu′ai 4 as the maternal parent as well as the recurrent parent. The substitution segments of wild rice in the genetic background of the cultivated variety were analyzed in BC₂F₁s using 241 polymorphic SSR markers and QTLs controlling agronomic traits associated with yield were identified in BC₂F₂ using 24 polymorphic SSR markers. Twenty substitution segments were identified on seven chromosomes, including chromosomes 1, 2, 3, 5, 8, 9 and 11. The total length of the substitution segments was 247.2 cM, and covered 16.21% of the rice haploid genome; the length of substitution segments ranged from 0.55 to 33.00 cM, with an average length 12.36 cM. Additionally, a total of 20 QTLs for eight traits associated with yield were identified in the population of 122 BC₂F₂s, and of which 55% had positive effect. Moreover, the QTLs controlling the traits associated with yield were found to be clustered, which agreed with the results from correlation analysis of the phenotypic traits

以广陆矮4号(Oryza sativa ssp. indica)为母本及轮回亲本，普通野生稻（Oryza rufipogon）为父本，分单株连续回交2次，构建BC2F2群体。首先用241对具有双亲多态性的SSR标记对BC2F1单株进行代换片段分析，在此基础上，根据BC2F1的表型选产量较优的单株自交获得BC2F2群体，用代换片段上具有双亲杂合型基因型的24对SSR标记进行QTL定位。在所选的BC2F1单株上，共检测到分布于7条染色体上的20个野生稻的代换片段，平均每条染色体上有2.86个；代换片段长度最小为0.55 cM，最大为33.00 cM，平均长度为12.36 cM，总覆盖长度为247.20 cM，覆盖率为16.21%。利用BC2F2群体对14个产量相关性状进行QTL定位，共检测到控制8个性状的20个QTL。对性状表型值起增效作用的有11个，占总检出数的55%。控制产量相关性状的QTL存在簇状分布现象，这与表型相关分析结果相符合。

... 程桂平等^[6]以广陆矮4号为母本及轮回亲本, 普通野生稻(Oryza rufipogon)为父本, 构建的BC₂F₂群体, 对14个产量相关性状进行QTL定位, 共检测到分别控制穗长、每穗总粒数、每穗实粒数、穗着粒密度的QTL为3、3、1和2个 ...

1995

0.0

... 成熟后取主穗按申宗坦^[7]的方法考种 ...

1997

0.0

... 遵循McCouch等^[8]的方法命名QTL ...

1995

3.658

0.0

Theor. Appl. Genet.. 1995, 90(1):73-80 DOI:10.1007/BF00220998

Maximum-likelihood models for mapping genetic markers showing segregation distortion. 1. Backcross populations.

Lorieux M, Goffinet B, Perrier X, de León DG, Lanaud C

CIRAD-BIOTROP, B.P.5035, 34032, Montpellier Cedex 1, France.

A maximum-likelihood approach is used in order to estimate recombination fractions between markers showing segregation distortion in backcross populations. It is assumed that the distortions are induced by viability differences between gametes or zygotes due to one or more selected genes. We show that Bailey's (1949) estimate stays consistent and efficient under more general assumptions than those defined by its author. This estimate should therefore be used instead of the classical maximum-likelihood estimate. The question of detection of linkage is also discussed. We show that the order of markers on linkage groups may be affected by segregation distortion.

PMID: 24173786

... org/)公布的其他遗传图谱调整部分引物的顺序(籼粳杂交标记偏分离比较严重, 而偏分离会影响标记的排序^[9,10,11]), 利用IciMapping 3 ...

1995

3.658

0.0

Theor. Appl. Genet.. 1995, 90(1):81-9 DOI:10.1007/BF00220999

Maximum-likelihood models for mapping genetic markers showing segregation distortion. 2. F2 populations.

Lorieux M, Perrier X, Goffinet B, Lanaud C, de León DG

CIRAD-BIOTROP, B.P. 5035, 34032, Montpellier Cedex 1, France.

In F2 populations, gametic and zygotic selection may affect the analysis of linkage in different ways. Therefore, specific likelihood equations have to be developed for each case, including dominant and codominant markers. The asymptotic bias of the "classical" estimates are derived for each case, in order to compare them with the standard errors of the suggested estimates. We discuss the utility and the efficiency of a previous model developed for dominant markers. We show that dominant markers provide very poor information in the case of segregation distortion and, therefore, should be used with circumspection. On the other hand, the estimation of recombination fractions between codominant markers is less affected by selection than is that for dominant markers. We also discuss the analysis of linkage between dominant and codominant markers.

PMID: 24173787

... org/)公布的其他遗传图谱调整部分引物的顺序(籼粳杂交标记偏分离比较严重, 而偏分离会影响标记的排序^[9,10,11]), 利用IciMapping 3 ...

2007

0.0

0.95

Chin Sci Bull. 2007, 52(8):918 - 922

(回交、DH和RIL偏分离群体遗传图谱的重新构建).(科学通报),2007,52:918-922

.Genetic maps reconstruct of backcross, DH, and RIL segregation distortion populations

回交、DH和RIL偏分离群体遗传图谱的重新构建

(朱成松),(王付华),(王建飞),(李广军),(张红生),(章元明).(回交、DH和RIL偏分离群体遗传图谱的重新构建).(科学通报),2007,52:918-922

朱成松王付华王建飞李广军张红生章元明

分子标记偏离孟德尔分离比例(称偏分离)是一种普遍的生物学现象. 虽然偏分离可能会影响标记间遗传距离的估计值和数量性状基因座(quantitative trait locus, QTL)定位结果, 但在遗传连锁图构建和QTL定位中偏分离的影响常常被忽视. 在分子标记存在偏分离、显性和缺失情况下, 根据隐马尔可夫模型, 我们已发展了一种新的多点方法来重新构建F2群体分子标记连锁图, 以解决偏分离对标记连锁图构建的影响. 本文简化了上述方法以适用于回交、加倍单倍体和重组自交系群体. 模拟研究表明: (ⅰ) 两连锁偏分离基因座(segregation distortion locus, SDL)影响标记间遗传距离的程度随SDL遗传率和标记间遗传距离的增加而增加, 但受样本容量的影响较小; (ⅱ) 两连锁SDL一般会低估标记间遗传距离, 但是, 加性模型下两个SDL加性效应符号相反时会高估之, 上位性模型下两SDL加性×加性效应为负时却不影响其估计; (ⅲ) 用本文的方法均能矫正遗传距离估计值的偏差. 将新发展的方法应用于已构建的一个存在严重偏分离的水稻(Oryza sativa L.)籼粳杂交组合IR28×大关稻的F7代重组自交系群体, 重新构建了分子标记遗传图谱, 并用Bootstrap法获得了遗传距离的95%置信区间. 这些结果进一步印证了本文发展的新方法. 这为数量性状和生活力性状的遗传分析提供了基础. 为实际数据分析研制的DistortedMap计算机软件可供利用.

... org/)公布的其他遗传图谱调整部分引物的顺序(籼粳杂交标记偏分离比较严重, 而偏分离会影响标记的排序^[9,10,11]), 利用IciMapping 3 ...

0.0

... 2^[12]构建覆盖水稻基因组1927 cM的遗传图谱, 标记间平均距离为15 ...

1998

1.412

0.0

... 2 多效性QTL与QTL簇QTL的多效性指的是同一区间的QTL同时对多个性状产生作用, 这种情况在动植物中普遍存在^{[13,14,15,16]} ...

2003

2.566

0.0

J Dairy Sci. 2003, 86(3):999 - 1008 DOI:10.3168/jds.S0022-0302(03)73683-2

Search for Pleiotropic QTL on Chromosome BTA6 Affecting Yield Traits of Milk Production

Freyer

,S#cod#x000f8;rensen

,K#cod#x000fc;hn

,Weikard

,Hoeschele

.Search for pleiotropic QTL on chromosome BTA6 affecting yield traits of milk production.J Dairy Sci,2003,86:999-1008

Abstract

The primary aim of this study was to investigate whether previous findings of similar quantitative trait loci (QTL) positions for correlated yield traits are due to a pleiotropic QTL. We applied a multitrait variance component based QTL mapping method to a dataset involving five granddaughter families from the German Holstein dairy cattle population. The marker map contained 16 microsatellite markers, distributed across chromosome BTA6. A chromosomewise significance threshold was used, because BTA6 is known to harbor QTL for several milk traits. To evaluate the results from the multivariate, across-family analysis, we also conducted single-family analyses using the least squares method of QTL estimation. The results provided two significant QTL findings at 49 and 64 cM for milk yield in different families and putative QTL at 68 cM for fat yield and at 71 cM for protein yield in another family. The results for fat and protein yield were confirmed by a univariate, across-family variance components analysis. The multivariate analysis of three bivariate trait combinations resulted in a significant pleiotropic QTL finding at 68 cM for fat yield and protein yield, bracketed by markers TGLA37 and FBN13. The estimates of variance contribution due to this QTL were 23% and 25%, respectively.

... 2 多效性QTL与QTL簇QTL的多效性指的是同一区间的QTL同时对多个性状产生作用, 这种情况在动植物中普遍存在^{[13,14,15,16]} ...

2012

5.552

0.0

Biotechnol Biofuels. 2012, 5(1):42 - DOI:10.1186/1754-6834-5-42

An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield

Fei Sun

⁽¹⁾,Peng Liu

⁽¹⁾,Jian Ye

⁽²⁾,Loong Chuan Lo

⁽¹⁾,Suying Cao

⁽¹⁾,Lei Li

⁽¹⁾,Gen Hua Yue

⁽¹⁾,Chun Ming Wang

⁽¹⁾

1.Molecular Population Genetics Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, 117604, Singapore, Singapore

2.Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, Singapore

... 2 多效性QTL与QTL簇QTL的多效性指的是同一区间的QTL同时对多个性状产生作用, 这种情况在动植物中普遍存在^{[13,14,15,16]} ...

2011

6.126

0.9487

Mol Plant. 2011, 4(2):319 - 330

A Major QTL,Ghd8,Plays Pleiotropic Roles in Regulating Grain Productivity,Plant Height and Heading Date in Rice

Yan

W H

,Wang

,Chen

H X

,Zhou

H J

,Li

Q P

,Wang

C R

,Ding

Z H

,Zhang

Y S

,Yu

S B

,Xing

Y Z

.A major QTL, Ghd8, plays pleiotropic roles in regulating grain productivity, plant height, and heading date in rice.Mol Plant,2011,4:319-330

... 2 多效性QTL与QTL簇QTL的多效性指的是同一区间的QTL同时对多个性状产生作用, 这种情况在动植物中普遍存在^{[13,14,15,16]} ...

2002

3.658

0.0

Theor Appl Genet. 2002, 104(8):1217 - 1228 DOI:10.1007/s00122-001-0819-7

QTL clusters reflect character associations in wild and cultivated rice

Cai

,Morishima

.QTL clusters reflect character associations in wild and cultivated rice.Theor Appl Genet,2002,104:1217-1228

1.National Institute of Genetics, Mishima 411-8540, Japan
2.Present address: Japan Grassland Farming and Forage Seed Association, Forage Crop Research Institute, 388-5 Higashiakada, Nishinasuno, Tochigi, 329-2742 Japan
3.Present address: Tokyo University of Agriculture, 1737 Funako, Atsugi, 243-0034 Japan

... 这种QTL成簇分布的现象在遗传上通常表现为一因多效或基因的连锁或基因重叠, 可能是一些具有多效性的未知关键因子同时控制着多种代谢途径, 从而使相关性状在自然选择过程中形成相互适应的有利性状^[17], 要探究其真正原因还需要通过构建近等基因系进行精细定位和克隆来进一步分析 ...

2001

0.0

Yi Chuan Xue Bao. 2001, 28(5):439-46

[Analysis of QTL x environment interaction for rice panicle characteristics].

Xing YZ, Xu CG, Hua JP, Tan YF

National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. yzhxing@hotmail.com

The development of molecular genetic linkage map has accelerated the identification and mapping of genomics regions controlling quantitative trait loci. A recombinant inbred line population derived from Zhenshan 97/Minghui 63 was grown in two years. Mixed linear model approach was used to jointly identify QTLs and QTL x environment interactions for five panicle characteristics. Ten, three, six, eight and seven QTLs were detected for spiketets per panicle, grains per panicle, seed setting, panicle length and panicle setting density, respectively. They collectively explained 29.13%, 19.2%, 29.46%, 26.39% and 35.76% of phenotypic variations for these traits, respectively. For the five traits, QTLs with increasing effects and decreasing effects could be simultaneously identified in high value parent and low value parent. QTLs for correlative traits clustering located in the similar regions. One QTL for panicle length, two QTLs for spikelets per panicle and three QTLs for seed setting performed significant interactions with environment. The contributions from interactions were slightly larger than that from the QTLs involved in the interactions. No QTL x environment interaction was detected for traits with high heritabilities such as grains per panicle and panicle setting density.

PMID: 11441657

... 邢永忠等^[18]通过珍汕97/明恢63的重组自交系群体对5个穗部性状进行QTL分析, 以LOD#cod#x02265 ...

2009

0.0

... 李绍波等^[19]在大田直播条件下, 利用来源于#cod#x0201c ...

2009

0.0

1.494

Chin J Rice Sci. 2009, 23(4):354 - 362 DOI:10.3969/j.issn.1001-7216.2009.04.04

Dissection of QTLs for Panicle Traits in Recombinant Inbred Lines Derived from Super Hybrid Rice, Xieyou 9308

超级杂交稻协优9308重组自交系群体的穗部性状QTL分析

SHEN Xi-hong, CAO Li-yong, CHEN Shen-guang, ZHAN Xiao-deng, WU Wei-ming, CHENG Shi-hua*

沈希宏,曹立勇,陈深广,占小登,吴伟明,程式华*

State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China; *Corresponding author,
E-mail: shcheng@mail.hz.zj.cn

Two hundred and eighty one recombinant inbred lines derived from Xieqingzao B×R9308 were planted in Lingshui, Hainan (2006, 2007) and Fuyang, Zhejiang (2006) in ricegrowing season. QTLs for seven selected panicle traits were determined by composite interval mapping with Windows QTL Cartographer 2.5. Fiftytwo significant QTLs were detected in the three trials, including seven QTLs for plant length(PL), eight QTLs for primary rachis branch(PRB), nine QTLs for secondary rachis branch(SRB), six QTLs for grain density(GD), seven QTLs for total number of spikelets per panicle(TNSP), eleven QTLs for number of filled grains per panicle(NFGP), four QTLs for spikelet fertility(SF). For all the QTLs detected, phenotypic variance explained by a single QTL ranged from 23% to 312%. Most of QTLs for yield components displayed dominant additive effects, whereas epistatic effects were not significant. A total of eight common QTLs for four panicle traits were detected in all the three trials, including qPL1，qPL61, qTNSP1, qTNSP2, qTNSP3, qNFGP1，qNFGP32 and qNFGP62. These QTLs, particularly qNFGP32 and qTNSP3 with stronger additive effects and higher contribution rates would be further studied for finescale mapping and/or cloning. Some intervals with QTL cluster were determined in QTL mapping and most of the QTLs tended to have pleiotropism. In a specific interval with QTL cluster, the effect direction of QTLs controlling the correlative trait tended to be similar, implying the possibility of genetic improvement of multiple traits using DNA markers closely linked to these QTLs.

将281个株系组成的超级杂交稻协优9308重组自交系群体种植在海南陵水（2006年和2007年）和浙江富阳（2006年），采用Windows QTL Cartographer 2.5的复合区间作图法进行QTL检测。共检测到控制7个穗部性状的52个QTL，其中包括7个控制穗长的QTL，8个控制一次枝梗数的QTL，9个控制二次枝梗数的QTL，6个控制着粒密度的QTL， 7个控制每穗总粒数的QTL，11个控制每穗实粒数的QTL，4个控制结实率的QTL。单个QTL对群体性状表型变异的贡献率为23%~312%。控制穗部性状的QTL基本上以加性效应为主，上位性效应和环境互作效应不大。在3组试验中都检测到控制3个穗部性状的8个QTL：qPL-1，qPL-6-1；qTNSP-1，qTNSP-2，qTNSP-3；qNFGP-1，qNFGP-3-2，qNFGP-6-2。这些QTL，尤其是第3染色体RM168-RM143区间控制每穗总粒数的qTNSP-3和控制每穗实粒数的qNFGP-3-2,其加性效应值和贡献率均较大，可以考虑下一步进行QTL精细定位和克隆。研究发现多个重要QTL聚集区间，在同一QTL聚集区间，控制相关性状的QTL效应方向基本上相同，利用这些QTL紧密连锁的分子标记进行辅助选择，可望同时针对多个性状进行遗传改良。

... 沈希宏等^[20]通过对281个株系组成的超级杂交稻协优9308重组自交系群体2年的数据对7个穗部性状进行QTL检测, 以LOD#cod#x02265 ...

... 在第6染色体RM584和RM136附近的QTL簇在沈希宏等^[20]、刘头明^[22]以及Marathi等^[23]的研究中均有过报道 ...

2011

0.0

0.895

... 王智权等^[21]以Asominori/IR24构建的染色体片段代换系于2007和2008年对穗部性状进行定位, 以LOD#cod#x02265 ...

2009

0.0

... 如第1染色体上RM490附近的QTL簇在刘头明^[22]的研究中有过报道, RM428附近的qSPP-1-2在叶少平等^[5]的研究中也有过报道 ...

... 在第6染色体RM584和RM136附近的QTL簇在沈希宏等^[20]、刘头明^[22]以及Marathi等^[23]的研究中均有过报道 ...

2012

4.354

0.0

Bmc Plant Biol. 2012, 12(1):137 - DOI:10.1186/1471-2229-12-137

QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.)

Balram Marathi

⁽¹⁾⁽²⁾,Smriti Guleria

⁽²⁾,Trilochan Mohapatra

⁽³⁾,Rajender Parsad

⁽⁴⁾,Nagarajan Mariappan

⁽⁵⁾,Vinod Kunnummal Kurungara

⁽⁵⁾,Salwandir Singh Atwal

⁽⁶⁾,Kumble Vinod Prabhu

⁽²⁾,Nagendra Kumar Singh

⁽⁷⁾,Ashok Kumar Singh

⁽²⁾

1.International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines

2.Indian Agricultural Research Institute, New Delhi, 110012, India

3.Central Rice Research Institute, Cuttak, 753006, India

4.Indian Agricultural Statistical Research Institute, New Delhi, 110012, India

5.Regional Station, Indian Agricultural Research Institute, Aduthurai, 612101, India

6.Regional Station, Indian Agricultural Research Institute, Karnal, 132001, India

7.National Research Centre on Plant Biotechnology, New Delhi, 110012, India

... 在第6染色体RM584和RM136附近的QTL簇在沈希宏等^[20]、刘头明^[22]以及Marathi等^[23]的研究中均有过报道 ...

2010

0.0

... 第7染色体上的qPB-7-1在黄成^[24]的研究中有过报道 ...

2006

3.658

0.0

Theor Appl Genet. 2006, 112(4):648 - 656 DOI:10.1007/s00122-005-0167-0

QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.)

H. W. Mei(1) J. L. Xu(2) Z. K. Li(24) X. Q. Yu(1) L. B. Guo(3) Y. P. Wang(3) C. S. Ying(3) L. J. Luo(1)

1.Shanghai Agrobiological Gene Center, 2901 Beidi Road, 201106 Shanghai, China
2.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 South Zhongguancun St., 100081 Beijing, China
3.China National Rice Research Institute, 359 Tiyuchang Road, 310006 Hangzhou, China
4.Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines

Two sets of reciprocal introgression line (IL) populations, i.e., ILs with Lemont as recurrent parent (IL_LT) and ILs with Teqing as recurrent parent (IL_TQ), were developed and evaluated for traits representing panicle size, including primary branch number (PBN), secondary branch number (SBN), and spikelet number per panicle (SNP). Together with the regression to recurrent parent by advanced backcross, transgressive segregations were observed for all traits. Correlation and regression analysis showed that SBN had much higher contribution to SNP than PBN. It was confirmed by the QTL analysis that many common loci were detected between SBN and SNP, in comparison with single common locus between PBN and SNP. One and three main effect QTLs (M-QTLs) were detected for PBN in IL_LT and IL_TQ, respectively. Six M-QTLs per trait per populations were associated with SBN and SNP. Less number and lower contribution of epistasis were detected in IL populations in comparison with mapping result fromF₂ or RI population. There were only four QTLs in fourteen loci (near 30%) commonly detected in both reciprocal IL populations implying the large impact of genetic background on QTLs expression.

2010

0.0

1.23

Mol Plant Breed. 2010, 1(1):1 - 3

Breakthrough Progresses on Resistance to Brown Planthopper in Rice

中国科学家在水稻褐飞虱抗性研究领域取得突破

Jing

Z B

,Qu

Y Y

,Pan

D J

,Fan

Z L

,Chen

J Y

,Li

.QTL analysis of yield-related traits using an advanced backcross population derived from common wild rice (Oryza rufipogon L.).Mol Plant Breed,2010,1:1-10

2009年底,中国科学家在水稻稻飞虱抗性研究方面取得了令人瞩目的突破.由武汉大学何光存教授领导的课题组和国内外多位科学家合作,经过十多年不懈持续的研究,先后在和发表文章,宣布克隆了水稻抗褐飞虱基因Bpsh14,初步阐述了其介导的抗性机理,并从蛋白质组学水平对稻飞虱抗性机理进行分析研究(Du et al.,2009;Wei et al.,2009).这无疑是中国科学家在水稻抗虫研究领域的重大贡献.

2011

0.876

0.0

J Genet. 2011, 90(2):209 - 215 DOI:10.1007/s12041-011-0057-y

Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars

XU FENG BAI(1) LI JUN LUO(2) WEN HAO YAN(1) MALLIKARJUNA RAO KOVI(1) YONG ZHONG XING(1)

1.National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070 People’s Republic of China
2.Shanghai Agrobiological Gene Center, 2901 Beidi Road, Shanghai, 201106 People’s Republic of China

The thousand-grain weight and spikelets per panicle directly contribute to rice yield. Heading date and plant height also greatly influence the yield. Dissection of genetic bases of yield-related traits would provide tools for yield improvement. In this study, quantitative trait loci (QTL) mapping for spikelets per panicle, thousand-grain weight, heading date and plant height was performed using recombinant inbred lines derived from a cross between two diverse cultivars, Nanyangzhan and Chuan7. In total, 20 QTLs were identified for four traits. They were located to 11 chromosomes except on chromosome 4. Seven and five QTLs were detected for thousand-grain weight and spikelets per panicle, respectively. Four QTLs were identified for both heading date and plant height. About half the QTLs were commonly detected in both years, 2006 and 2007. Six QTLs are being reported for the first time. Two QTL clusters were identified in regions flanked by RM22065 and RM5720 on chromosome 7 and by RM502 and RM264 on chromosome 8, respectively. The parent, Nanyangzhan with heavy thousand-grain weight, carried alleles with increased effects on all seven thousand-grain weight QTL, which explained why there was no transgressive segregation for thousand-grain weight in the population. In contrast, Chuan7 with more spikelets per panicle carried positive alleles at all five spikelets per panicle QTL exceptqspp5. Further work on distinction between pleiotropic QTL and linked QTL is needed in two yield-related QTL clusters.