Quantitative Trait Loci for Yield Traits Located Between Hd3a and Hd1 on the Short Arm of Chromosome 6 in Rice

QTLs for heading date located in the region between Hd3a and Hd1 were detected using an F2:3 population developed from a residual heterozygous line (RHL) identified from the recombinant inbred lines of the indica rice cross Zhenshan 97B/Milyang 46. Linkage in coupling phase between the heading date QTLs and QTLs for yield traits detected in a previous study was found. Four more F2:3 populations were each developed from an RHL, which were homozygous at Hd3a and Hd1 but heterozygous in a portion of the intervals flanked by Hd3a and Hd1. QTLs for grain yield per plant, number of panicles per plant, number of grains per panicle and 1000-grain weight were detected in the heterozygous region. Five sets of near-isogenic lines (NILs) with overlapping heterogenous segments covering the interval RM6119-RM6779 were developed and used to validate and delimitate the QTLs. A QTL having a consistent effect for the number of grains per panicle was located within the interval RM19615-RM19652 that corresponded to a 514.4 kb region on chromosome 6. The same region might have pleiotropic effects on the other three yield traits analyzed, but the effects varied greatly among different populations and across different environments. This study suggests that it is possible to develop a population with little variation on heading date and to identify QTLs for yield traits that might not be associated with heading date by using information of the physical positions of DNA markers and cloned genes.     

Quantitative Trait Loci for Heading Date and Their Relationship with Genetic Control of Yield Traits in Rice (Oryza sativa)

Grain yield and heading date are key factors determining the commercial potential of a rice variety. Mapping of quantitative trait loci (QTLs) in rice has been advanced from primary mapping to gene cloning, and heading date and yield traits have always attracted the greatest attention. In this review, genomic distribution of QTLs for heading date detected in populations derived from intra-specific crosses of Asian cultivated rice (Oryza sativa) was summarized, and their relationship with the genetic control of yield traits was analyzed. The information could be useful in the identification of QTLs for heading date and yield traits that are promising for the improvement of rice varieties.     

水稻抽穗期QTL及其与产量性状遗传控制的关系

 产量和抽穗期是评价水稻品种应用价值的基本性状。水稻QTL分析已经历了从初定位到基因克隆的发展过程,并以抽穗期和产量性状最受重视。总结了亚洲栽培稻抽穗期QTL的基因组分布,分析了这些QTL与产量性状遗传控制的关系,为进一步筛选和鉴定具有较高育种应用潜力的水稻抽穗期QTL和产量性状QTL提供参考。     

空气中CO2浓度升高条件下水稻抽穗期的QTL定位

以65个水稻染色体片段置换系(chromosome segment substitution lines,CSSLs)为材料,对比分析了正常大气CO2浓度（对照）和开放式空气CO2浓度升高（free air CO2 enrichment,FACE,大气CO2浓度增加200 μmol/mol）下水稻抽穗期的变化,并定位了相关QTL(quantitative trait loci)。供试株系的抽穗期对CO2浓度升高表现为提早、延迟和不变等3种响应,抽穗期两极变化最大的株系为AI46（提前11 d）和AI63（延迟6 d）。两种条件下,共检测到9个控制抽穗期的QTL,分布在第3、4、6、7、8、10和11染色体上。其中位于第6和第8染色体上的 qHD6 4和 qHD8 4在两种CO2浓度下都检测到,但在FACE下的贡献率均显著增大;而 qHD3A 3和 qHD11A 7只在正常条件下检测到, qHD4F 4、 qHD10F 4和 qHD11F 4则只在FACE下检测到。 暗示控制水稻抽穗期的基因表达易受环境CO2浓度的影响。     

粳稻垩白性状的QTL检测

 利用大粒粳稻DL115与小粒粳稻XL005杂交获得的F2群体200个单株为作图群体,采用复合区间作图方法,利用SSR标记对稻米垩白性状进行了数量性状基因座(QTL)检测。研究结果表明,稻米垩白粒率、垩白大小和垩白度在F3株系均呈连续分布,表现为由多基因控制的数量性状。检测到与稻米垩白性状相关的QTL 8个,分别位于第3（5个）、第5（2个）和第6（1个）染色体上,包括与垩白粒率有关的QTL 3个,与垩白大小相关的QTL 2个,与垩白度有关的QTL 3个。其中位于第3染色体RM6832-RM411、RM15456-RM6832和RM6266-RM15456区间的qPGWC3、qACE3b和qDEC3b,分别解释垩白粒率、垩白大小和垩白度表型变异的43.89%、18.83%和19.57%,为主效QTL。上述3个主效QTL所在染色体上的位置与前人研究结果均不一致,认为是新的QTL。所检测到的8个QTL中,除qPGWC6的增效等位基因来自无垩白亲本XL005外,其他7个QTL的增效等位基因均来自垩白性状值较大的亲本DL115。垩白粒率和垩白大小基因作用表现为部分显性,垩白度基因作用表现为加性。     

不同温光条件下水稻抽穗期QTL的定位与分析

以广陆矮4号为受体,日本晴为供体的85个染色体单片段代换系群体为试验材料,通过单因素方差分析和Dunnett多重比较,测验单片段代换系与广陆矮4号之间抽穗期的差异,对代换片段上抽穗期相关的QTL进行了定位。以P≤0.001为阈值,在南京和海南不同温光条件下共定位到40个抽穗期相关的QTL。其中,21个QTL在2个环境中均被检测到;15个QTL只在南京环境中被检测到;4个QTL只在海南环境中被检测到。南京环境中定位到的36个抽穗期相关QTL,其加性效应值变化范围为2.8d~15.7d,加性效应百分率变化范围为3.8%~21.1%;海南环境中定位到的25个抽穗期相关QTL,加性效应值变化范围为1.8d~12.1d,加性效应百分率变化范围为1.7%~11.3%。这些QTL的定位,为进一步精细定位并克隆相应主效QTL和优异品种特定环境下的生育期改良奠定了基础。     

水稻种子低氧发芽力的QTL定位和上位性分析

利用35份水稻品种资源,评价了在不同水深、温度等低氧条件下的种子萌发情况,表明水温30℃、水深0.2 m下黑暗萌发5 d为最佳鉴定方法,并以此条件下水稻种子萌发的芽长为鉴定指标,评价了359份水稻品种低氧发芽力地区间、籼粳间的差异。进一步利用81个Kinmaze/DV85 重组自交系群体进行了水稻低氧发芽力数量性状位点分析, 在第1、2、5、7染色体上检测到5 个低氧发芽力QTL,其中第5染色体上存在2个QTL,各QTL的贡献率为10.5%～19.6%。同时进行上位性分析,检测到3对互作位点,分别位于第2、3、5、11染色体上,其中位于第3染色体上标记C563-X182之间的位点与第5染色体上标记R830-X208之间的位点的互作贡献率高达48.78%。     

Quantitative Trait Loci for Mercury Tolerance in Rice Seedlings

Mercury (Hg) is one of the most toxic heavy metals to living organisms and its conspicuous effect is the inhibition of root growth.However,little is known about the molecular genetic basis for root growth under excess Hg2+ stress.To map quantitative trait loci (QTLs) in rice for Hg2+ tolerance,a population of 120 recombinant inbred lines derived from a cross between two japonica cultivars Yuefu and IRAT109 was grown in 0.5 mmol/L CaCl2 solution.Relative root length (RRL),percentage of the seminal root length in +HgCl2 to-HgCl2,was used for assessing Hg2+ tolerance.In a dose-response experiment,Yuefu had a higher RRL than IRAT109 and showed the most significant difference at the Hg2+ concentration of 1.5 μmol/L.Three putative QTLs for RRL were detected on chromosomes 1,2 and 5,and totally explained about 35.7% of the phenotypic variance in Hg2+ tolerance.The identified QTLs for RRL might be useful for improving Hg2+ tolerance of rice by molecular marker-assisted selection.     

水稻抗条纹叶枯病数量性状座位分析

为探明水稻品种窄叶青8号抗条纹叶枯病的数量性状座位,构建了窄叶青8号/武育粳3号F2群体的分子图谱,采用人工接种和田间自然接种两种鉴定方法,以病情指数比率为表型值,对每个F2单株衍生的F2∶3家系进行了抗条纹叶枯病鉴定。整个群体的病情指数比率均呈偏向于抗性亲本的连续性分布,表明条纹叶枯病抗性受数量性状基因的控制。进一步的QTL分析发现,两种鉴定方法所检测到的QTL完全不同,人工接种（强迫饲毒）方法仅检测到1个抗性基因位点qSTV7,其增强抗性的等位基因来源于窄叶青8号,而田间自然接种方法检测到2个抗性基因位点qSTV5和qSTV1,其增强抗性的等位基因分别来源于窄叶青8号和武育粳3号,暗示抗性亲本窄叶青8号可能携带耐病毒基因和抗灰飞虱基因,而感病亲本武育粳3号经遗传重组后,其抗性基因也得以表现。比较前人研究结果,发现检测到的QTL为新的抗条纹叶枯病基因位点,这些基因不同于抗条纹叶枯病主基因Stvb i,可为防止单一基因广泛使用造成的遗传脆弱性,提供新的抗性基因资源。     

Identification of Rice QTLs for Important Agronomic Traits with Long-Kernel CSSL-Z741 and Three SSSLs

Rice kernel shape affects kernel quality (appearance) and yield (1000-kernel weight) and therefore is an important agronomic trait, but its inheritance is complicated. We identified a long-kernel rice chromosome segment substitution line (CSSL), Z741, derived from Nipponbare as a recipient and Xihui 18 as a donor parent. Z741 has six substitution segments distributed on rice chromosomes 3, 6, 7, 8 and 12 with an average replacement length of 5.82 Mb. Analysis of a secondary F₂ population from a cross between Nipponbare and Z741 identified 20 QTLs for important agronomic traits. The kernel length of Z741 is controlled by a major QTL (qKL3) and a minor QTL (qKL7). Candidate gene prediction and sequencing indicated that qKL3 may be an allele of OsPPKL1, which encodes a protein phosphatase implicated in brassinosteroid signaling, and qKL7 is an unreported QTL. Finally, we validated eight QTLs (qKL3, qKL7, qRLW3-1, qRLW7, qPH3-1, qKWT3, qKWT7 and qNPB6) using three selected single- segment substitution lines (SSSLs), S1, S2 and S3. Also, we detected five QTLs (qKL6, qKW3, qKW7, qKW6 and qRLW6) in S1, S2 and S3, which were not found in the Nipponbare/Z741 F₂ population. However, qNPB3, qNPB7 and qPL3 QTLs were not validated by the three SSSLs in 2019, suggesting that minor QTLs are susceptible to environmental factors. These results lay the foundation for studying the biodiversity of kernal length and molecular breeding of different kernel types.     

利用重测序的水稻染色体片段代换系定位控制稻米淀粉黏滞性谱QTL

 稻米RVA谱是评价稻米蒸煮与食用品质的重要指标之一,发掘新的控制稻米RVA谱QTL对稻米品质改良具有重要意义。利用以粳稻品种日本晴为受体、籼稻品种9311为供体并经高通量重测序的染色体片段代换系群体为材料,在两年两点的环境下对该群体中控制RVA谱特征值的QTL进行了定位分析。通过单因素方差分析和Dunnett多重比较, 分析染色体片段代换系与受体亲本之间相关RVA谱特征值的差异,以两年两点都能检测到的显著差异位点作为稳定表达的QTL。共检测到10个稳定表达的QTL,包括控制峰值黏度的4个QTL qPKV2.1、qPKV5.1、qPKV7.1和qPKV8.1,控制热浆黏度的2个QTL qHPV5.1和qHPV7.1,控制冷胶黏度的2个QTL qCPV5.1和qCPV7.1及控制消减值的2个QTL qSBV2.1和qSBV7.1。在两年两点的检测中10个稳定表达QTL的贡献率介于-31.8%～53.2%,这10个QTL分布在第2、5、7和8染色体上,其中位于第2、5和7染色体上的位点存在一因多效性。     

水稻开花期高温胁迫下的花粉育性QTL定位

 以耐热水稻品系996和热敏感品系4628为亲本构建的重组自交系为材料,采用水稻开花期高温胁迫下的花粉育性为指标,对水稻耐热性进行了QTL分析。采用复合区间作图法检测到2个花粉育性耐热性QTL,暂命名为qPF4和qPF6。qPF4位于第4染色体上的RM5687―RM471区间,LOD值为7.54,对高温胁迫下花粉育性的表型解释率为15.1%,来自耐热亲本996的等位基因使高温下花粉可育率提高7.15%。qPF6位于第6染色体上的RM190―RM225标记区间,LOD值为4.43,对高温胁迫下花粉育性的表型解释率为9.31%,能使高温下花粉可育率提高5.25%,加性效应亦来自耐热亲本996的等位基因。定位到的2个耐热QTL为进一步精细定位以及通过分子标记辅助选择培育耐热水稻新品种奠定了基础。     

稻米出饭特性QTL分析及遗传研究

 米粒长、饭粒长和饭粒延伸系数等性状与米饭品质密切相关。以籼稻台中本地1号（TN1）与粳稻春江06为亲本构建的加倍单倍体群体为材料,利用全基因饱和分子标记连锁遗传图谱对多个稻米出饭特性相关的性状进行QTL定位, 共检测到14个QTL。其中,米粒长和米粒浸长QTL各1个,均位于第2染色体上,分别可以解释性状变异的15.20% 和1850%;1个米粒浸泡膨胀率QTL,位于第6染色体上,可解释性状变异的1339%;1个煮饭粒长QTL,位于第9染色体上,可解释性状变异的1360%; 3个蒸饭粒长QTL,分别位于第1、3和12染色体上,共解释性状变异4500%;4个煮饭延伸率QTL, 分别位于第3、6、9和10染色体上,共解释性状变异6130%; 3个蒸饭延伸率QTL分别位于第1、3和6染色体上,共解释性状变异4910%。在已知的Wx和ALK基因所在区域都检测到了米饭延伸性相关的QTL。相比较而言,覆盖ALK基因的QTL对出饭特性的影响更大,LOD值达到了635。该研究结果可为稻米出饭特性相关调控基因的克隆奠定基础,同时对稻米品质的改良及高产优质稻品种的分子标记辅助选育提供理论参考。     

Identification of QTLs for Cooking and Eating Quality of Rice Grain

Rice is one of the major crops served as the staple food of more than 50% of the world’s population. Recently, more attention has been paid to rice quality, especially the cooking and eating quality than achieving the higher yield. The amylose content (AC), gelatinization temperature (GT) and gel consistency (GC) are the three major rice characteristics directly related to cooking and eating quality, responsible for the physical and chemical characteristics of the starch in the endosperm [1…     

利用重测序的染色体片段代换系群体定位水稻粒型QTL

 以一套用籼稻品种9311为受体、粳稻品种日本晴为供体构建的128个染色体片段代换系为材料,按随机区组实验设计种植,于成熟后考查代换系粒长、粒宽性状,利用多元回归分析方法,结合Bin图谱,鉴定出6个与粒长相关的QTL、2个与粒宽相关的QTL。其中,qGL3.1被定位在水稻第3染色体的5 792 954 bp区间内;qGL3.2被定位在第3染色体的917 878 bp区间内;qGL8.1被定位在第8染色体的889 543 bp区间内;qGL8.2被定位在第8染色体的208 614 bp区间内;qGL9.1被定位在第9染色体的1 149 685 bp区间内;qGL11.1被定位在第11染色体的3 184 760 bp区间内;qGW1.1被定位在第1染色体的200 070 bp区间内;qGW5.1被定位在第5染色体的704 905 bp区间内。上述QTL的准确定位,为进一步精细定位及克隆相应QTL和开展水稻粒型分子育种奠定了基础。     

水稻第1染色体短臂粒长和粒宽QTL的精细定位

以第1染色体短臂RM1-RM3746和RM151-RM243区间内呈杂合、背景基本纯合的2个水稻剩余杂合体（RHL）衍生两个F6群体,将控制水稻粒长和粒宽的2个粒形QTL（qGL 1和qGW 1）定位于RM3746-RM243区间内。在此基础上,应用SSR标记检测,从其中1个群体中筛选到杂合区间分别为RM151-RM10404、RM10398-RM5359、RM10435-RM259和RM10381-RM243的4个单株,应用SSR标记进一步检测4套F2群体,从每套F2群体中分别筛选到母本珍汕97B和父本密阳46纯合型材料各10株,自交获得4套近等基因系材料并考查其粒长和粒宽。利用交迭重组染色体片段代换系分析法,将控制粒长和粒宽的QTL （qGL 1和qGW 1）界定于437.5 kb的RM10390-RM1344区间和392.9 kb的RM10376-RM10398区间,增效等位基因均来自母本珍汕97B,表明qGL 1和qGW 1是紧密连锁的不同座位。     

基于重测序的染色体片段代换系定位水稻抽穗期QTL

【目的】水稻的抽穗期是决定水稻产量及其适用性的重要农艺性状之一,是由多基因控制的数量性状。染色体片段代换系减少了个体间遗传背景的干扰,已经成为定位和克隆复杂性状QTL的重要材料。【方法】本研究以9311为受体,日本晴为供体构建的128个重测序的染色体片段代换系群体为试验材料,利用多元回归,结合Bin-map图谱,【结果】鉴定到6个在南京、扬州不同年份间稳定表达的抽穗期QTL,其中,qHD2.1被定位在第2染色体上的759 848 bp区间内;qHD2.2被定位在第2染色体上的45 286 bp区间内;qHD 3.1被定位在第3染色体上的147 931 bp区间内;qHD5.1被定位在第5染色体上的213 351 bp区间内;qHD5.2被定位在第5染色体上的442 305 bp区间内;qHD8.1被定位在第8染色体上的538 176 bp区间内。【结论】本研究为精细定位并克隆相应QTL,进而探明抽穗期QTL的分子调控机制奠定了基础。     

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。     

Quantitative Trait Loci Associated with Pollen Fertility under High Temperature Stress at Flowering Stage in Rice (Oryza sativa)

High temperature stress (HTS), an increasingly important problem in rice production, significantly reduces rice yield by reducing pollen fertility and seed setting rate. Breeding rice varieties with tolerance to HTS at the flowering stage is therefore essential for maintaining rice production as the climate continues to become warm. In this study, two quantitative trait loci (QTLs) underlying tolerance to HTS were identified using recombinant inbred lines derived from a cross between an HTS-tolerant rice cu...     

Mapping Quantitative Trait Loci for Palatability of Milled Rice

Quantitative trait loci (QTLs) controlling palatability in rice were identified using a set of 98 backcross inbred lines (BILs) population derived from a cross between a japonica variety Nipponbare and an indica variety Kasalath. The palatability scores of the population measured by RQ1/Plus Rice Analyzer, showed a continuous and transgressive segregative distribution with a range from 66 to 92. Four putative QTLs for palatability, qPAL-5, qPAL-7, qPAL-8a and qPAL-8b, were detected on chromosome 5, 7 and 8, and they accounted 7.83, 7.03, 11.58 and 7.19% of the total phenotypic variation, respectively. Three alleles qPAL-5, qPAL-7 and qPAL-8b from Kasalath increased the palatability score, whereas only one Nipponbare allele qPAL-8a increased the score. Eight transgressive lines in palatability were selected to make a comparison between phenotypic and genotypic classes. The result explained the possibility of positive QTLs pyramiding through marker-assisted selection of highly palatable rice.