水稻叶色与若干农艺性状连锁遗传的分析

以遗传方式为抑制互作的两对叶色基因为遗传标记,检测了绿叶品种Y双402与紫叶品种紫稻的杂交F₂中遗传标记与7个数量性状的基因间的连锁关系．发现控制株高、有效分孽、穗长、粒重和穗粒数的QTL（拟名为ht-1,tl, pal, gw和gn）与色素抑制基因I-P1(t）连锁,重组率分别为0、0、0.06,0.04和0.06．另一控制株高的QTL(拟名ht-2)与色素基因Pl(t)连锁,重组率为0.09．对株高、穗长和粒重3个性状而言,增效基因对减效基因为完全显性;有效分孽和穗粒数两性状的QTL只表现简单的加性效应．     

利用水稻重组自交系群体对一些重要农艺性状进行基因定位和互作分析

对水稻（OryzasativaL．）籼（indica）、粳（Japonica）交（窄叶青8号×京系17）通过一粒传获得了一个自交9代的重组自交系（RIL）群体,该群体含有107个稳定纯合的株系,通过构建分子连锁图谱,对水稻播抽期、株高、每穗颖花数、每穗实粒数、200粒重和结实率进行数量性状基因座位（QTL）分析,定位了影响播抽期的2个QTLs、株高的2个QTLs、每穗颖花数的2个QTLs和每穗实粒数的1个QTL。其中,控制播抽期的1个QTL即qHD－8为主效基因,控制株高的1个QTL即qPH－1为主效基因,其余为微效基因。同时分析了影响水稻生产力的数量性状基因座位间的互作。结果表明,影响播抽期、株高、每穗颖花数、每穗实粒数和结实率的互适型互作共有24个,对性状有6．2％～10．9％的贡献率。     

基于单片段代换系的水稻穗长QTL加性及其上位性效应

穗长是影响水稻（Oryza sativa）产量的重要因子之一,研究水稻穗长QTL间的上位性效应对于发掘水稻产量潜力具有重要意义。该研究以16个单片段代换系（single segment substitution lines,SSSLs）和15个双片段聚合系（double segment pyramiding lines,DSPLs）为材料研究了水稻穗长QTL的加性及上位性效应。以P〈0.01为阈值,共检测到6个穗长QTL和9对基因互作座位。其中2个（Pl-2和Pl-10）是尚未报道的穗长QTL。穗长QTL互作后,一些互作对的上位性效应与单个QTL的作用方式及效应大小各不相同,预示着基因聚合后会产生不同的互作效应。该研究结果对于通过分子聚合育种手段改良穗长具有重要意义。     

基于单片段代换系的水稻穗长QTL加性及其上位性效应

穗长是影响水稻(Oryza sativa)产量的重要因子之一, 研究水稻穗长QTL间的上位性效应对于发掘水稻产量潜力具有重要意义。该研究以16个单片段代换系(single segment substitution lines, SSSLs)和15个双片段聚合系(double segment pyramiding lines, DSPLs)为材料研究了水稻穗长QTL的加性及上位性效应。以P<0.01为阈值, 共检测到6个穗长QTL和9对基因互作座位。其中2个(Pl-2和Pl-10)是尚未报道的穗长QTL。穗长QTL互作后, 一些互作对的上位性效应与单个QTL的作用方式及效应大小各不相同, 预示着基因聚合后会产生不同的互作效应。该研究结果对于通过分子聚合育种手段改良穗长具有重要意义。     

水稻株高、抽穗期和有效穗数的QTL与环境的互作分析

株高、抽穗期和有效穗数是水稻的重要农艺性状,合适的株高、抽穗期和有效穗数对水稻的高产稳产是至关重要的。该实验应用中156/谷梅2号的重组自交系(RIL)群体,建立由168个DNA分子标记组成的遗传连锁图,以一年两季作为不同的环境效应,对水稻株高、抽穗期和有效穗数进行了非条件和条件QTL定位,在非条件QTL定位中共检测到7个株高QTLs、5个抽穗期QTLs和3个有效穗数QTLs和10对加加上位性互作位点,条件QTL定位结果表明,抽穗期这一性状对株高和有效穗数QTLs的表达既有抑制作用,也有较大的贡献率。     

水稻生物学产量及其构成性状的QTL定位

QTL的加性效应、加性×加性上位性效应及它们与环境的互作效应是数量性状的重要遗传分量.利用IR64/Azucena的125个DH品系为群体,分析了水稻生物学产量及其两个构成性状干草产量和谷粒产量的遗传组成.用基于混合模型的复合区间作图(MCIM)方法进行QTL定位.检测到12个位点有加性主效应,27个位点涉及双位点互作,18个位点存在环境互作.结果表明水稻生物学产量和它的两个构成性状普遍存在上位性效应和QE互作效应.此外,还探讨了性状间相关的遗传基础.发现4个QTLs和一对上位性QTLs可能与生物学产量与干草产量之间的正相关有关.3个QTL可能与干草产量与谷粒产量之间的负相关有关.这些结果可能部分地解释了这3个性状相关的遗传原因.通过对水稻生物学产量及其两个构成性状所定位QTL的分析,加深了对数量性状QTL的认识.首先,QTL的上位性效应和QE互作效应是普遍存在的;其次,QTL的多效性或紧密连锁可能是遗传相关的原因,当QTL对两个性状作用的方向相同时可导致正向遗传相关,反之则为负向遗传相关,当有些QTL表现为同向作用而另一些QTL表现为反向作用时,则可削弱性状间的遗传相关性;第三,复合性状的QTL效应可分解为其组成性状的QTL效应,如果QTL对各组成性状的效应方向相反而相互抵消,可使复合性状的QTL效应不易被检测;第四,加性效应的QTL常参预构成上位性效应,而具有上位性效应的QTL并非都有加性主效应,表明忽略上位性的QTL定位方法会降低检测QTL的功效;最后,鉴别不同类型的QTL效应有利于指导育种实践,选择主效QTL适用于多环境,QE互作QTL适用于特定环境,对上位性QTL应强调选择基因组合而并非单个基因.     

水稻穗部性状的QTL与环境互作分析

分别在两年收集珍汕97／明恢63的重组自交系群体的表现数据,运用混合线性模型的QTL定位方法,联合分析穗部5个性状的QTLs7及QTL与环境互作关系。每穗颖花数、每穗实粒数、结实率、穗长和穗着密度分别检测到10、3、6、8和7个QTLs分别解释各性状变异的29．13％、19．2％、29．46％、26．39％和35．76％。对于同一性状,高值亲本和低值亲本中均存在增效和减效QTL。相关性状QTL的位置表现相同或相似,高值亲本和低值亲本中均存在增效和减效QTL。相关性状QTL的位置表现相同或相似,成族分布。1个穗长QTL,2个每穗颖花数QTL3,3个结实率QTLs表现与环境显著互作,QTL与环境互作效应的贡献率比相应的QTL贡献率略大。遗传力稍高的每穗实粒数和穗着粒密度的DQTL与环境不互作。     

谷子SSR分子图谱的构建及主要农艺性状QTL定位

试验拟对谷子重要农艺性状进行数量性状位点QTL分析。以表型差异较大的沈3/晋谷20F2作图群体为材料,观测其株高、穗长等性状,选用SSR做分子标记,利用完备区间作图法(BASTEN C J)进行QTL分析。结果显示,表型数据在作图群体中呈现连续分布,表现为多基因控制的数量性状,被整合的54个SSR标记构建10个连锁群,LOD阈值设置为2.0,检测到与株高相关的主效QTL2个,联合贡献率45.9637%,穗长主效QTL1个,贡献率14.9647%,与穗重、粒重相关的主效QTL为同一位点,贡献率分别为11.9601%和10.1879%。有6组QTL位点之间存在基因互作效应,大小范围为-0.4986-16.6407,对性状的贡献率在2.2716％至6.7478％之间。谷子表型控制复杂,相关QTL的检测受环境影响较大,不同连锁群QTL间互作明显。     

水稻籼粳交DH群体花器性状的遗传分析

水稻花器性状是影响杂交稻制种异交结实率的重要因素之一。利用一个水稻籼粳交(窄叶青8号/京系17)来源的DH群体对水稻柱头外露率、花柱长、柱头长、柱头宽、花药长、花药宽、颖花长、颖花宽和颖花长宽比9个花器性状和穗抽出度进行遗传分析。不论性状在2个亲本间的差异显著与否,在DH群体中10个研究性状在基因型间的差异均达到极显著水平(P<0.01),并表现为连续变异和明显的超亲分离。除花药宽的遗传力较低(50%)、且估计的基因数多达13个之外,其余9个研究性状的遗传力均较高,为68%～93%,控制这些性状的基因数估计为7～10个。这些结果表明,10个研究性状均为受多基因控制的数量性状,其增效和减效基因在2个亲本中均有分布,通过基因重组可产生正向和负向两个方向的超亲基因型。除了柱头长、柱头宽和穗伸出度3个性状未发现有基因间的上位性互作外,其余7个性状均检测到显著的互补性互作。性状相关和通径分析的结果显示,与柱头外露率关系最密切的花器性状为柱头长、柱头宽和颖花长宽比,颖花长和颖花宽主要通过影响颖花长宽比来对柱头外露率产生影响。其次,与柱头外露率关系较密切的为花柱长。柱头外露率高的基因型通常表现为长柱头、长粒型和长花柱。花药长、花药宽与上述花器性状间的相关性较弱。在DH群体中,穗伸     

水稻亚种间杂种基因效应和性状间相关性分析

以6份籼型型不育系和6份粳型或偏粳型广亲和系配制成不完全双列杂交,将杂种F1及其亲本在三个播期（5／20,6／10,6／30）试验,应用加性、显性与环境互作摸型,分析籼粳交杂种八个主要农艺性状的遗传方差组成、杂种优势的表现以及性状间的相关性等．结果表明：1）参试性状不仅加性方差和显性方差极显著,并且加性×环境或显性×环境互作方差也显著存在;但控制不同性状的基因效应稳定性尚有明显的差异．2）基因型×环境互作效应的结果,使杂种在多数性状上其群体平均优势和群体超亲优势均随播种推迟而呈下降的趋势;F1性状的平均基因型预测值显示了早播常出现植株偏高、剑叶较披和生育期相对延长,而迟播导致主穗总粒数减少3）性状间的加性和显性相关是决定遗传相关的主要因素;在株高、抽穗天数、剑叶长、主穗长和主穗总粒数等五个性状间,杂种的表型相关和遗传相关与遗传相关的四种分量间方向相同,均为显著正相关,所以要选育大穗高产的杂交组合及其配组材料,都应保证适宜的株高、生育期和剑叶长.     

水稻基部伸长节间性状与茎秆机械强度的相关分析和QTL定位

分析水稻品种‘沈农265’和‘丽江新团黑谷’杂交的F2群体基部第二节间茎秆机械强度与该节间形态和茎秆解剖结构的相关性,并对基部第二节间机械强度和相关性状进行QTL定位的结果表明：机械强度与茎粗、茎壁面积、茎壁厚度、大小维管束数目、大小维管束面积、大小维管束韧皮部面积、大小维管束木质部面积呈显著或极显著的正相关,与节间长度呈极显著的负相关,而与茎秆扁平率的相关不显著。采用复合区间作图,从研究的14个目标性状中检测到18个QTL。控制基部第二节间的抗折力的QTL检测到4个,位于第4、7、9和10号染色体上,可解释遗传变异的12%～23%。在第4和第7染色体上的相同区间上还同时检测到了控制茎壁性状和维管束性状QTL,贡献率在12%～21%之间。说明这两个位点是控制基部第二节间机械强度的重要区域,也是茎壁性状、维管束性状与机械强度高度正相关的遗传学基础。     

用RFLP标记剖析水稻穗颈维管束及穗部性状的遗传基础

采用籼、粳亚种间杂种F1(圭630×02428)花药培养获得的DH群体,对水稻穗颈大、小维管束数和倒数第2节间大、小维管束数等4个维管束性状,以及一、二次枝梗数,每穗颖花数3个穗部性状进行QTL分析,共检测到16个QTLs,其中有7个QTLs的加性效应较大,单个QTL的贡献率在20%以上。发现有4个QTLs成簇分布于第1染色体从RZ776到C11的大约35cM的区段上,来源于亲本"圭630"的这一染色体区段对穗颈大维管束、第2节间大维管束、第2节间小维管束和二次枝梗数4个性状的表达均具有增效作用。还讨论了利用分子标记辅助选择聚合增效QTLs、实现穗颈维管束性状遗传改良的策略。     

Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice

Appropriate heading date and plant height are prerequisites for attaining the desired yield level in rice breeding programs. In this study, we analyzed the genetic bases of heading date and plant height at both single- locus and two-locus levels, using a population of 240 F_2:3 families derived from a cross between two elite rice lines. Measurements for the traits were obtained over 2 years in replicated field trials. A linkage map was constructed with 151 polymorphic marker loci, based on which interval mapping was performed using Mapmaker/QTL. The analyses detected six QTLs for plant height and six QTLs for heading date; collectively the QTLs for heading date accounted for a much greater amount of phenotypic variation than did the QTLs for plant height. Two-way analyses of variance, with all possible two-locus combinations, detected large numbers (from 101 to 257) of significant digenic interactions in the 2 years for both traits involving markers distributed in the entire genome; 22 and 39 were simultaneously detected in both years for plant height and heading date, respectively. Each of the interactions individually accounted for only a very small portion of the phenotypic variation. The majority of the significant interactions involved marker loci that did not detect significant effects by single-locus analyses, and many of the QTLs detected by single-locus analyses were involved in epistatic interactions. The results clearly demonstrated the importance of epistatic interactions in the genetic bases of heading date and plant height. Received: 5 May 2001 / Accepted: 3 August 2001     

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

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 except qspp5. Further work on distinction between pleiotropic QTL and linked QTL is needed in two yield-related QTL clusters.     

The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population

Amylose content (AC), gel consistency (GC) and gelatinazation temperature (GT) are three important traits that influence the cooking and eating quality of rice. The objective of this study was to characterize the genetic components, including main-effect quantitative trait loci (QTLs), epistatic QTLs and QTL-by-environment interactions (QEs), that are involved in the control of these three traits. A population of doubled haploid (DH) lines derived from a cross between two indica varieties Zhenshan 97 and H94 was used, and data were collected from a field experiment conducted in two different environments. A genetic linkage map consisting of 218 simple sequence repeat (SSR) loci was constructed, and QTL analysis performed using qtlmapper 1.6 resolved the genetic components into main-effect QTLs, epistatic QTLs and QEs. The analysis detected a total of 12 main-effect QTLs for the three traits, with a QTL corresponding to the Wx locus showing a major effect on AC and GC, and a QTL corresponding to the Alk locus having a major effect on GT. Ten digenic interactions involving 19 loci were detected for the three traits, and six main-effect QTLs and two pairs of epistatic QTLs were involved in QEs. While the main-effect QTLs, especially the ones corresponding to known major loci, apparently played predominant roles in the genetic basis of the traits, under certain conditions epistatic effects and QEs also played important roles in controlling the traits. The implications of the findings for rice quality improvement are discussed.     

水稻上部节间长度等数量性状基因的定位及其遗传效应分析

对水稻籼粳杂交（窄叶青８号×京系１７）Ｆ＿１的花药进行离体培养,建立一个含１３３个ＤＨ系的作图群体,通过构建分子连锁图谱,对水稻上部节间长度、株高和抽穗期的ＱＴＬ进行区间作图,定位了影响上部节间长度的１２个ＱＴＬ、株高的４个ＱＴＬ和抽穗期的１个ＱＴＬ。对这些ＱＴＬ的遗传效应分析的结果表明,控制抽穗期的１个ＱＴＬ即Ｈｄ８ａ为主效基因,其余的１６个ＱＴＬ为微效基因。控制上部节间长度单个的ＱＴＬ对表型的贡献率介于８－１８％,其加性效应可使所控制的节间长度增加大约１．６－３．６ｃｍ。值得注意的是,一些控制相关性状的、作用方向相同的ＱＴＬ定位于同一染色体的相同或邻近区段上。这一结果揭示了这些性状相关的遗传基础,在水稻育种中运用这些ＱＴＬ将有助于对株高进行精细的遗传调控。     

水稻种子萌发和苗期ABA敏感性的QTL定位分析

植物激素ABA参与不同的生理过程,尤其是在种子发育和非生物逆境的适应都需要ABA的调控.以水稻珍汕97和旱稻IRAT109为亲本的重组自交系群体为材料,分别调查种子发芽和苗期对ABA的敏感程度.种子发芽阶段以ABA处理下的相对发芽势（Relative germination vigor,RGV）和相对发芽率（Relative germination rate,RGR）为指标,苗期以ABA喷施处理下的卷叶程度（Leaf rolling scores by ABA spaying,LRS）和含ABA水培条件下的卷叶程度（Leaf rolling scores by ABA culturing,LRC）为指标.性状相关分析表明发芽阶段的相对发芽势与苗期卷叶程度呈显著正相关.用复合区间作图法和混合线性模型对ABA敏感性QTL定位和上位性效应分析.两种软件检测到的主效QTL位点大致相同.共检测到5个单位点QTL和6对上位性QTL与发芽阶段的ABA敏感性有关;8个单位点QTL和5对上位性QTL与水稻苗期对ABA的敏感性有关;在苗期,两种ABA处理条件下共检测到两个共同的QTL;仅一个共同的QTL同时控制发芽阶段和苗期对ABA的敏感性.这些研究结果说明,水稻对ABA的敏感性同时受单位点的多基因和上位性基因控制;而且控制种子萌发阶段发芽势和苗期对ABA敏感性的遗传基础有很大的不同.     

Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench

The productivity of sorghum is mainly determined by quantitative traits such as grain yield and stem sugar-related characteristics. Substantial crop improvement has been achieved by breeding in the last decades. Today, genetic mapping and characterization of quantitative trait loci (QTLs) is considered a valuable tool for trait enhancement. We have investigated QTL associated with the sugar components (Brix, glucose, sucrose, and total sugar content) and sugar-related agronomic traits (flowering date, plant height, stem diameter, tiller number per plant, fresh panicle weight, and estimated juice weight) in four different environments (two locations) using a population of 188 recombinant inbred lines (RILs) from a cross between grain (M71) and sweet sorghum (SS79). A genetic map with 157 AFLP, SSR, and EST-SSR markers was constructed, and several QTLs were detected using composite interval mapping (CIM). Further, additive × additive interaction and QTL × environmental interaction were estimated. CIM identified more than five additive QTLs in most traits explaining a range of 6.0–26.1% of the phenotypic variation. A total of 24 digenic epistatic locus pairs were identified in seven traits, supporting the hypothesis that QTL analysis without considering epistasis can result in biased estimates. QTLs showing multiple effects were identified, where the major QTL on SBI-06 was significantly associated with most of the traits, i.e., flowering date, plant height, Brix, sucrose, and sugar content. Four out of ten traits studied showed a significant QTL × environmental interaction. Our results are an important step toward marker-assisted selection for sugar-related traits and biofuel yield in sorghum.     

Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two backcross populations

To understand the types of gene action controlling seven quantitative traits in rice, we carried out quantitative trait locus (QTL) mapping in order to distinguish between the main-effect QTLs (M-QTLs) and digenic epistatic QTLs (E-QTLs) responsible for the trait performance of 254 recombinant inbred lines (RILs) from rice varieties Lemont/Teqing and two backcross hybrid (BCF₁) populations derived from these RILs. We identified 44 M-QTL and 95 E-QTL pairs in the RI and BCF₁ populations as having significant effects on the mean values and mid-parental heterosis of heading date, plant height, flag leaf length, flag leaf width, panicle length, spikelet number and spikelet fertility. The E-QTLs detected collectively explained a larger portion of the total phenotypic variation than the M-QTLs in both the RI and BCF₁ populations. In both BCF₁ populations, over-dominant (or under-dominant) loci were more important than additive and complete or partially dominant loci for M-QTLs and E-QTL pairs, thereby supporting prior findings that overdominance resulting from epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice.     

Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two testcross populations

To understand the types of gene action controlling seven quantitative traits in rice, QTL mapping was performed to dissect the main effect (M-QTLs) and digenic epistatic (E-QTLs) QTLs responsible for the trait performance of 254 recombinant inbred lines (RILs) of "Lemont/Teqing", and two testcross (TC) F(1) populations derived from these RILs. The correlation analyses reveal a general pattern, i.e. trait heritability in the RILs was negatively correlated to trait heterosis in the TC hybrids. A large number of M-QTLs and E-QTLs affecting seven traits, including heading date (HD), plant height (PH), flag leaf length (FLL), flag leaf width (FLW), panicle length (PL), spikelet number per panicle (SN) and spikelet fertility (SF), were identified and could be classified into two predominant groups, additive QTLs detected primarily in the RILs, and overdominant QTLs identified exclusively in the TC populations. There is little overlap between QTLs identified in the RILs and in the TC populations. This result implied that additive gene action is largely independent from non-additive gene action in the genetic control of quantitative traits of rice. The detected E-QTLs collectively explained a much greater portion of the total phenotypic variation than the M-QTLs, supporting prior findings that epistasis has played an important role in the genetic control of quantitative traits in rice. The implications of these results to the development of inbred and hybrid cultivars were discussed.