水稻株高QTL及其与产量性状和抽穗期关系的研究进展

株高是一个与水稻品种丰产潜力密切相关的重要性状。主效半矮秆基因背景下的水稻株高变异,一般表现为受多基因控制的数量性状。最近的研究表明,已定位的株高QTL分布于水稻的所有12条染色体,其中4个QTL已克隆。克隆研究和QTL初定位结果表明,株高QTL往往存在对产量性状和（或）抽穗期的多效作用,可利用于提高水稻产量潜力。     

应用剩余杂合体衍生群体定位水稻粒重粒形QTL

【目的】粒重粒形是影响水稻产量和品质的重要因素,由大量数量性状座位(QTL)控制,其作用变异极大,但以往研究主要着眼于效应大的QTL。本研究在剔除主效QTL影响的基础上,开展微效粒重粒形QTL分析。【方法】在前期研究基础上,从原群体挑选出1个剩余杂合体单株,构建了在主效QTL区间纯合、在其余区域中13个区间分离的群体,种植于浙江杭州和海南陵水,测定千粒重、粒长和粒宽。【结果】采用Windows QTL Cartographer2.5,检测到22个QTL,分布于10条染色体的12个区间,其中,10个区间在两地均呈显著作用,2个区间仅在杭州试验中呈显著作用。进一步从该群体筛选出1个只在其中4个QTL区间杂合的单株,自交构建分离群体,验证了这4个区间对粒重粒形的效应。【结论】排除主效QTL有利于提高微效粒重粒形QTL的检测功效;虽然微效QTL可能易受环境和遗传背景影响,但仍可具有稳定表现。这些结果为进一步开展粒重粒形QTL的精细定位、克隆和分子标记辅助选择奠定了基础。     

QTL精细定位策略及水稻产量相关性状QTL分析

随着分子标记技术及水稻基因组学的发展,水稻产量相关性状QTL研究已进入QTL精细定位及克隆阶段。阐明控制复杂性状QTL的分子遗传基础,对于其在分子育种中的应用具有重要意义。本文针对目前构建QTL精细定位群体的主要策略及水稻产量相关性状QTL分析进展进行了综述。     

水稻产量性状QTL的克隆研究及育种应用进展

提高稻谷产量是作物育种的主要目标之一。随着水稻全基因组测序的完成,近年来水稻产量性状QTL的克隆取得了快速的发展。本文简要介绍了水稻产量及其构成因子QTL克隆进展,分析了产量性状QTL的一些基本特点,并简述了产量性状QTL在育种中的应用情况。     

籼稻C84和粳稻春江16B重组自交系遗传图谱构建及籽粒性状QTL定位与验证

【目的】本研究旨在挖掘水稻粒型新基因、探索其分子机理,解析籽粒发育调控遗传网络奠定基础,并为通过分子标记聚合有利基因开展超级稻分子设计育种提供理论依据。【方法】以植株和籽粒形态差异较大的晚粳稻品种春江16B(CJ16B）和广亲和中籼稻背景恢复系C84为亲本构建含有188个家系的重组自交系为作图群体,利用158对在双亲中存在多态性差异的分子标记,构建了遗传连锁图谱,总遗传距离为1428.40cM,平均标记间距为9.04cM。在构建遗传图谱的基础上,完成RIL188个株系籽粒的粒长、粒宽、粒厚、长宽比和千粒重等5个性状考查并进行QTL定位。【结果】在海南陵水和浙江杭州两地共检测到籽粒相关主效QTL30个,包括籽粒QTL新座位18个,解释遗传变异3.51%~17.25%。其中粒长、粒宽、粒厚和长宽比QTL位点分别为9个、5个、5个和6个,千粒重QTL位点5个。经基因座位比对,发现有5个QTL区间与已克隆的调控籽粒形态相关基因座位相近,我们通过对双亲目标基因的测序并根据差异位点设计dCAPs分子标记进行验证。【结论】该RIL群体及其遗传图谱可用于水稻重要农艺性状主效QTL基因的定位和克隆,新定位的18个粒型QTL可以为水稻籽粒发育调控网络提供补充和资料积累。     

稻米粒形和垩白度的QTL定位和上位性分析

 利用由181个家系组成的Lemont/特青籼粳交重组自交系群体,以及由161个RFLP、SSR标记和3个形态标记构建的全长为1916.5 cM、覆盖水稻基因组12 条染色体的连锁图,采用线性模型的复合区间作图方法（QTLMapper V10）,对粒长、粒宽、长宽比和垩白度等4个稻米品质性状的数量性状座位（QTL）进行了分析。在水稻的所有12 条染色体上共定位到7个加性主效QTL和19对上位性QTL,其中控制粒长、粒宽、长宽比的主效QTL各2个,控制垩白度的QTL 1个,分别解释12.8%、40.0%、26.0%和42.1%的表型变异;共检测到6对影响垩白度、6对影响粒长、7对影响长宽比的上位性QTL,分别解释52.2%、31.3%和38.2% 的表型变异。结果表明,上位性QTL和主效QTL一样在稻米粒形和垩白度的遗传中起着重要的作用。     

南方水稻黑条矮缩病抗性的遗传分析及主效QTL的精细定位

【目的】近年来由白背飞虱传播的南方水稻黑条矮缩病给水稻生产造成了巨大损失,开展该病的抗性遗传分析和基因精细定位,将为抗性育种提供材料和理论依据。【方法】分析了抗性材料D4对南方水稻黑条矮缩病的抗性特征,并通过广恢998/D4F2群体分析该病抗性的遗传规律,利用QTL-seq技术联合遗传连锁分析定位主效抗性QTL。【结果】D4对南方水稻黑条矮缩病的抗性表现为抗病毒性而非抗虫性,且受主效基因和微效基因共同控制。QTL-seq和连锁分析将南方水稻黑条矮缩病主效抗性QTL定位于第9染色体上,命名为qSRBSDV9。利用代换作图法进一步将qSRBSDV9定位在102.3kb的区间内,该区间包含21个预测基因,其中9个基因与赤霉素信号传导相关。【结论】揭示了D4对南方水稻黑条矮缩病的抗性特征及遗传规律,精细定位了南方水稻黑条矮缩病主效抗性QTL qSRBSDV9。这为该QTL的图位克隆及育种利用奠定了基础。     

用培矮64S/日本晴F2群体对水稻6个农艺性状的QTL定位

 用水稻测序品种培矮64S和日本晴配组建立了由180个单株组成的F2群体，构建了含137个SSR标记的连锁遗传图谱，对水稻的分蘖数、有效分蘖数、分蘖率、株高、剑叶长和穗长等6个相关农艺性状进行了QTL定位分析。共检测到14个QTL，分布在第1、2、4、5、6、7染色体的11个区间。检测到1个控制株高的主效QTL(qPH1 2),位于第1染色体，其表型贡献率为24.0%；1个控制剑叶长的主效QTL(qFL4）,位于第4染色体，其表型贡献率为30.5%。对所定位QTL的价值、QTL在染色体上的区域分布等进行了探讨。     

利用重测序的水稻染色体片段代换系群体定位剑叶形态QTL

 剑叶形态性状（剑叶长、剑叶宽和剑叶面积）是水稻理想株型育种的重要目标性状之一。发掘新的控制水稻剑叶形态性状的基因资源,准确鉴定和定位水稻剑叶形态性状QTL,对开展水稻剑叶形态性状分子生物学研究和理想株型分子育种都具有重要意义。 以通过高通量测序而准确获知代换片段位置及长度的一套用籼稻品种9311为受体、粳稻品种日本晴为供体构建的,包括128个染色体片段代换系群体为材料,对剑叶形态性状及其与主穗颖花之间的相关性进行分析,结果表明剑叶面积与剑叶长、宽呈极显著正相关,主穗颖花数与剑叶长、剑叶面积呈极显著正相关。利用多元回归分析方法,结合Bin map,共鉴定出与水稻剑叶长、宽和面积相关的QTL分别为4、4和6个,贡献率介于4.08%~60.40%。上述QTL的准确定位,为进一步精细定位及克隆相应QTL以及开展水稻剑叶形态性状分子育种奠定了基础。     

水稻数量性状定位研究进展

20世纪80年代以来,DNA标记技术的诞生给数量性状的遗传研究带来了革命性的变化。分子生物学的快速发展和数量性状（QTL）定位技术的逐渐完善,为水稻的QTL研究提供了技术支撑。已有大量的研究表述和发现了QTL的特征特性,阐述了一些重要农艺性状的遗传理论基础,从而使水稻的育种遗传改良获得新方法、新手段。从QTL的定位群体、定位方法以及水稻QTL的研究现状和利用等方面,对水稻数量性状基因的研究进行了综述,并对今后的研究提出了一些分析。     

利用染色体片段置换系群体定位和分析水稻粒重和粒型QTL

[目的]挖掘水稻粒重和粒型相关性状QTL,对于解析水稻籽粒遗传机理具有重要作用.[方法]本研究以籼稻9311为受体、粳稻日本晴为供体构建的染色体片段置换系(Chromosome Segment Substitution Lines,CSSLs)群体为材料,在4个环境下对控制稻谷与糙米的粒重和粒型QTL进行了定位分析.[...     

应用剩余杂合体衍生的近等基因系分解水稻产量性状QTL

以杂合区间为RM587-RM402的水稻剩余杂合体（RHL）衍生群体为材料,应用SSR标记检测,筛选到杂合区间分别为RM587-RM225、RM204-RM6119和RM6119-RM402的3个单株,进一步检测其F2群体,分别获得母本纯合型材料10株、父本纯合型材料10株和杂合型材料20株。种植这3套近等基因系材料,考查单株产量及其构成因子每株穗数、每穗实粒数和千粒重。经应用目标区间内等位基因效应分析和交迭重组染色体片段代换系分析,分解出3个控制每穗实粒数的QTL和2个控制单株产量的QTL,这些QTL分别位于物理距离为0.66 ~ 2.49 Mb的区间中,全部表现为加性作用为主,增效等位基因除qNFGP6 1来自父本密阳46外,其余均来自母本珍汕97B。提出了构建新型遗传材料,提高水稻QTL精细定位效率的策略。     

Dissection and fine-mapping of two QTL for grain size linked in a 460-kb region on chromosome 1 of rice

Background

Grain size is a key determinant of grain weight and a trait having critical influence on grain quality in rice. While increasing evidences are shown for the importance of minor-effect QTL in controlling complex traits, the attention has not been given to grain size until recently. In previous studies, five QTL having small effects for grain size were resolved on the long arm of chromosome 1 using populations derived from indica rice cross Zhenshan 97///Zhenshan 97//Zhenshan 97/Milyang 46. One of them, qTGW1.2c that was located in a 2.1-Mb region, was targeted for fine-mapping in the present study.

Results

Firstly, the qTGW1.2c region was narrowed down into 1.1 Mb by determining genotypes of the cross-over regions using polymorphic markers newly developed. Then, one BC₂F₉ plant that was only heterozygous in the updated QTL region was identified. A total of 12 populations in generations from BC₂F_11:12 to BC₂F_15:16 were derived and used for QTL mapping. Two QTL linked in a 460-kb region were separated. The qGS1-35.2 was delimited into a 57.7-kb region, containing six annotated genes of which five showed nucleotide polymorphisms between the two parental lines. Quantitative real-time PCR detected expression differences between near isogenic lines for qGS1-35.2 at three of the six annotated genes. This QTL affected grain length and width with opposite allelic directions, exhibiting significant effect on ratio of grain length to width but showing little influence on yield traits. The other QTL, qGW1-35.5, was located within a 125.5-kb region and found to primarily control grain width and consequently affect grain weight.

Conclusions

Our work lays a foundation for cloning of two minor QTL for grain size that have potential application in rice breeding. The qGS1-35.2 could be used to modify grain appearance quality without yield penalty because it affects grain shape but hardly influences grain yield, while qGW1-35.5 offers a new gene recourse for enhancing grain yield since it contributes to grain size and grain weight simultaneously.

     

Mapping QTL for Heat-Tolerance at Grain Filling Stage in Rice

A mapping population of 98 lines (backcross inbred lines, BILs) derived from a backcross of Nipponbare/Kasalath// Nipponbare was planted at two experimental sites, Nanjing and Nanchang, and treated with high and optimal temperature during grain filling, respectively. The grain weight heat susceptibility index [GWHSI= (grain weight at optimum temperature-grain weight at high temperature) / grain weight at optimum temperature ×100] was employed to evaluate the tolerance of rice to heat stress. A genetic linkage map with 245 RFLP markers and a mixed linear-model approach was used to detect quantitative trait loci (QTLs) and their main effects, epistatic interactions and QTL×environment interactions (Q×E). The threshold of LOD score=2.0 was used to detect the significance of association between marker and trait. A total of 3 QTLs controlling heat tolerance during grain filling were detected, on chromosomes 1, 4 and 7, with LOD scores of 8.16, 11.08 and 12.86, respectively, and they explained the phenotypic variance of 8.94, 17.25 and 13.50 %, correspondingly. The QTL located in the C1100-R1783 region of chromosome 4 showed no QTL×environment interaction and epistatic effect, suggesting that it could be stably expressed in different environments and genetic backgrounds, and thus it would be valuable in rice breeding for heat tolerance improvement. This QTL allele, derived from Kasalath reduced 3.31% of the grain weight loss under heat stress. One located between R1613-C970 on chromosome 1 and the other between C1226-R1440 on chromosome 7, with additive effect 2.38 and 2.92%, respectively. The tolerance alleles of both these QTLs were derived from Nipponbare. Both of these QTLs had significant QTL×environment interactions, and the latter was involved in epistatic interaction also. Eight pairs of epistatic effect QTLs were detected, one pair each on chromosomes 1,2,3, 5, 7, 8, 10 and 12. The results could be useful for elucidating the genetic mechanism of heat-tolerance and the development of new rice varieties with heat tolerance during grain filling phase.     

水稻粒重粒形QTL的定位及qTGW1.2/qGL1.2的验证

[目的]粒重粒形对水稻的产量和品质均有重要的影响.本研究通过开展水稻粒重粒形QTL的初步定位,并对新鉴定的第1染色体长臂qTGW1.2/qGL1.2区间进行验证,旨在进一步揭示水稻粒重粒形的遗传调控机制.[方法]以大粒的FM9为父本,小粒的EFT为母本,配组衍生遗传群体,先后获得包含277个株系的F2:3群体和211个...     

Mapping of qTGW1.1,a Quantitative Trait Locus for 1000-Grain Weight in Rice (Oryza sativa L.)

1000-grain weight(TGW) is one of the three component traits of the grain yield in rice(Oryza sativa L). This study was conducted to validate and fine-map qT GW1.1, a minor QTL for TGW which was previously located in a 3.7-Mb region on the long arm of rice chromosome 1. Five sets of near isogenic lines(NILs) were developed from two BC2F4 populations of the indica rice cross Zhenshan 973/Milyang 46.The NIL sets consisted of two homozygous genotypic groups differing in the regions RM11448-RM11522,RM11448- RM11549, RM1232- RM11615, RM11543-RM11554 and RM11569-RM11621, respectively. Four traits, including TGW, grain length, grain width and heading date, were measured. Phenotypic difference between the two genotypic groups in each NIL population was analyzed using SAS procedure GLM.Significant QTL effects were detected on TGW with the Zhenshan 97 allele increasing grain weight by0.12 g to 0.14 g and explaining 8.30% to 15.19% of the phenotypic variance. Significant effects were also observed for grain length and width, whereas no significant effect was found for heading date. Based on comparison among the five NILs on the segregating regions and the results of QTL analysis, qT GW1.1was delimited to a 376.9-kb region flanked by DNA markers Wn28382 and RM11554. Our results indicate that the effects of minor QTLs could be steadily detected in a highly isogenic background and suggest that such QTLs could be utilized in the breeding of high-yielding rice varieties.     

水稻灌浆期耐热害的数量性状基因位点分析

 利用由98个家系组成的Nipponbare / Kasalath // Nipponbare回交重组自交系群体及其分子连锁图谱，以粒重感热指数\[（适温粒重-高温粒重）/适温粒重×100\]为评价指标，采用混合线性模型的QTL定位方法，对水稻灌浆期耐热性的主效、上位性数量性状基因位点及其与环境的互作进行分析。共检测到3个灌浆期耐热性主效QTL，分别位于第1、4和7染色体上，LOD值为8.16、11.08和12.86，贡献率8.94%、17.25%和13.50%。其中位于第4染色体标记C1100-R1783之间的QTL，没有显著的上位性和环境互作效应，表明在不同环境和遗传背景中的表达较为稳定，在水稻耐热性育种中可能具有较大的利用价值，其耐热性等位基因来自亲本Kasalath，高温热害时可减少粒重损失3.31%。位于第1染色体标记R1613-C970之间的QTL和第7染色体标记C1226-R1440之间的QTL，耐热性等位基因来自亲本Nipponbare，分别可减少粒重损失2.38%和2.92%。这两个QTL均具有与环境的互作效应，其中第7染色体上的QTL还和其他基因位点有互作。检测到8对加性×加性上位性互作QTL，分布于第1、2、3、5、7、8、10和12染色体上。没有检测到上位性QTL与环境的互作效应。