稻米粒形的QTL定位及上位性和QE互作分析

利用'广陆矮4号'×'佳辐占'水稻重组自交系构建了SSR标记的遗传图谱.联合2007年和2008年获得的两组稻米粒长(GL)、粒宽(GW)、长宽比(L/W)数据应用混合线性模型方法进行QTL定位,并作加性效应、加性×加性上位互作效应以及加性QTL、上位性QTL与环境的互作效应分析.结果显示;(1)在加性效应分析中两个群体共检测到4个控制粒长的QTL,4个控制粒宽的QTL,5个控制长宽比的QTL,贡献率分别为13.81%、15.36%和 16.29%.(2)在上位互作效应分析中两个群体共检测到2对控制粒长的互作QTL,1对控制粒宽的互作QTL,3对控制长宽比的互作QTL,贡献率分别为5.77%、2.59%和7.42%.(3)环境互作检测中,发现共有13个加性QTL和4对QTL的加性×加性上位性与环境产生了互作效应.结果表明,上位性效应和加性效应都影响稻米粒形遗传,QE互作效应也对粒形有着显著的影响.     

云南粳稻碾磨品质性状稳定性分析

利用AMMI模型对2年5点12个粳稻品种的糙米率、精米率和整精米率进行了稳定性分析,并以碾磨品质性状的表型值及其相应的稳定性参数(Di)为指标,对供试品种进行聚类分析和评价.结果表明,糙米率、精米率和整精米率在不同品种和环境间的差异以及品种×环境互作效应均达极显著水平;碾磨品质性状的稳定性随品种和环境不同而变化较大,其稳定性顺序为糙米率>精米率>整精米率.综合考虑糙米率、精米率和整精米率及其稳定性,云粳优14号、滇元1号、云粳18号和滇元2号的碾磨品质和稳定性好,可作育种亲本,以改良水稻品种的碾磨品质及其稳定性.     

稻米外观品质性状遗传与分子定位研究进展

稻米外观品质主要是指稻米的粒形、垩白、透明度和籽粒色泽等,它不仅直接影响到人们的喜好,还与其他品质性状诸如蒸煮食用、加工等密切相关。因此,外观品质对稻米的商品价值有着十分重要的影响。本文从经典遗传与现代分子生物学两个方面对稻米主要外观品质的遗传研究进展进行了较全面的综述,包括粒长、粒宽、长宽比、粒厚、垩白、透明度和籽粒色泽等。综合近年来的遗传研究结果发现,大多数稻米外观品质性状都是由数量基因控制的。利用分子标记技术已将控制外观品质的QTL（qualitative trait locus）定位在不同的染色体上,为下一步的稻米外观品质改良提供了有利条件。     

粳稻穗角与稻米品质的相关性及稻米品质遗传分析

测定了粳稻直立穗品种丙8979与弯曲穗品种C堡杂交组合的P1、P2及其重组自交系349个株系的穗角和10个稻米品质性状, 分析了穗角与稻米品质性状之间的相关性, 并运用主基因+多基因混合遗传模型, 对稻米品质10个性状进行了遗传分析。结果表明,穗角与糙米率、整精米率、垩白粒率、垩白度、糊化温度、胶稠度和直链淀粉含量均无显著相关; 与精米率呈显著正相关(r=0.124*); 与粒长和长宽比均呈极显著正相关(相关系数分别为0.470**和0.241**)。糙米率、精米率和直链淀粉含量均受2对主基因+多基因控制, 2对主基因具有累加作用和加性×加性的上位性作用; 整精米率、粒长、长宽比和胶稠度受2对加性-上位性主基因+多基因控制;垩白粒率、垩白度和糊化温度均受3对加性-上位性主基因+多基因控制。糙米率、精米率、整精米率、垩白粒率、垩白度和糊化温度6个品质性状以主基因遗传为主,粒长、长宽比、胶稠度和直链淀粉含量4个性状以多基因遗传为主。     

不同环境条件下粳型杂交稻米碾磨品质性状的遗传效应分析

采用包括基因型×环境互作效应的种子遗传模型,对粳型杂交稻稻米碾磨品质性状进行了遗传研究.结果表明:各碾磨品质性状除了受制于种子直接效应、细胞质效应和母体效应等遗传主效应外,还明显受到各基因型×环境互作效应的影响.其中糙米率性状以遗传主效应为主,而精米率、整精米率性状以基因型×环境互作效应为主.在遗传主效应中,糙米率性状主要受种子直接加性效应、母体加性效应的控制;在基因型×环境互作效应中,精米率和整精米率性状都是以种子直接加性×环境互作效应和母体加性×环境互作效应为主,细胞质×环境互作效应也起着较为重要的作用.大部分稻米碾磨品质性状的狭义遗传率均较高,其中糙米率性状以普通狭义遗传率为主,而精米率和整精米率性状则以互作狭义遗传率为主.另外,根据性状的遗传效应预测值对各亲本的育种利用价值作了评价.     

水稻外观品质的数量性状基因位点分析

利用由98个家系组成的Nipponbare(粳)／Kasalath(秒)∥Nipponbare回交重组自交系(backcross inbred lines,BILs)群体(BC1F9)及其分子连锁图谱,采用复合区间作图的方法,在2个不同年份对粒长、粒宽、粒形、垩白率、垩白大小、垩白度和透明度等7个稻米外观品质性状的数量性状基因位点(Quantiative trait loci,QTL)进行了定位分析。共定位到33个四QTLs,单个性状QTL数目在4-7个之间,以垩白率最多,为7个;粒长和垩白大小次之,为5个;其他性状均为4个,表明该组合外观品质是由多基因控制的数量性状。单个QTL对性状变异解释率粒长为6．2％-15．2％,粒宽为8．3％-32．5％,长宽比为6．8％-19．8％,垩白率为6．4％-28．5％,垩白大小为6．1％-16．9％,垩白度为9．3％-17．2％,透明度为5．6％-25．2％．QTL在染色体上成集中分布的特点,第3染色体C1488-C563、第5染色体R830-R3166和R1436-R2289、第6染色体R2147-R2171均有3个以上的QTLs分布。比较2年的检测结果表明,外观品质性状的QTL定位都受环境影响,但不同性状受影响的程度差异很大。粒长和粒形的QTL定位受环境影响很小,垩白率、垩白大小和垩白度的QTL定位受环境影响很大。     

稻米碾磨品质性状遗传主效应及其与环境互作的遗传分析

采用包括遗传主效应和基因型与环境互作效应的种子三倍体遗传模型,分析了不同环境条件下籼稻稻米碾磨品质的遗传特性。结果表明,各碾磨品质性状除了受制于种子基因效应、细胞质效应和母体植株基因效应等遗传主效应外,还会明显受到各遗传效应与环境互作效应的影响。其中精米重和精米率两个性状的表现主要是以遗传主效应为主,而糙米重和糙米率则以基因型ｘ环境互作效应为主。在各遗传体系中,除了精米率性状的种子直接遗传效应与环境的互作效应略大于母体植株遗传效应与环境的互作效应外,其他碾磨品质性状的母体植株基因的表达受环境条件的影响程度要大于种子基因。细胞质ｘ环境互作效应对精米重和糙米率的影响也较为重要。遗传效应预测值结果表明,Ｐ７和Ｐ８两个亲本的遗传主效应表现突出,可以明显改良杂交后代多数碾磨品质性状。Ｐ１和Ｐ２两个亲本的碾磨品质性状预测值在两年中的环境互作效应较为－致,不易受到外界条件的影响。上述亲本在水稻品质育种中可加以利用。     

籼稻稻米外观品质的细胞质,母体和胚乳遗传效应分析

利用浙协2号A等9个籼型不育系和T49等5个籼型恢复系进行不完全双列杂交,研究了籼稻稻米外观品质的遗传效应．结果表明,稻米外观品质性状的表现受制于胚乳、母体和细胞质三套遗传体系．糙米长、长宽比和长厚比等性状以母体遗传率为主,而糙米宽和糙米厚则以胚乳直接遗传率为主,糙米长和长宽比等性状的细胞质遗传率亦很重要．结果还发现外观品质性状间存在着较强的遗传相关,其中糙米长与糙米宽、糙米长与糙米厚、糙米宽与糙米厚、糙米宽与长宽比、糙米厚与长厚比以及糙米长宽比与长厚比性状间以胚乳直接加性和母体加性相关为主．而糙米长与长宽比、糙米长与长厚比、糙米宽与长厚比以及糙米厚与长宽比性状间则以胚乳直接显性和母体显性相关为主．就外观品质的总体情况而言,遗传效应预测值表明参试亲本以V20A、作5A和测早2-2较好,其各种遗传效应能够显著改善稻米品质性状。V20A／102和作5A／测早2-2等组合具有较好的稻米外观品质．     

利用籼粳回交群体分析水稻粒形性状相关QTLs

水稻谷粒的外观性状对稻米外观品质存在重要的影响。该研究利用SSR标记,以回交群体Balilla／NTH∥Balilla为作图群体,构建了水稻12条染色体的连锁图,该遗传图谱包括：108个分子标记,平均图距为11．9cM。以构建的遗传图谱为基础,采用区间作图法对谷粒外观性状,包括粒长、粒宽和粒形进行了数量性状基因(QTL)定位。结果表明,粒长、粒宽和粒形在回交群体中均呈近似的正态分布,表现出典型的数量性状特征。QTL定位结果表明,第12染色体上RM101-RM270区间内存在一个与粒长性状相关的QTL,(qGL-12),加性效应约为0．26mm,贡献率为16．7％。在第2和第3染色体上RM154-RM211和RM257-RM175区问内,分别检测到qGW-2和qGW-3两个位点与粒宽性状有关,加性效应为分别为-0．10mm和-0．12mm,贡献率分别为11．5％和16．6％。对于粒形性状,共检测到3个QTLs,qLW-2、qLW-6和qLW-7,分别位于第2、6和7染色体上。其中qLW-2和qLW-7的加性效应分别约为0．09和0．10,两个QTLs分别可解释表型变异的12．7％和18．3％;而qLW-6的加性效应约为-0．13,可解释粒形变异的11．5％。文中还讨论了粒形和稻米外观品质同时改良的可能性。     

早籼稻碾磨品质品种、地点、品种×地点互作效应的研究

以浙江省1995年早籼稻品种区域试验6个试点参试品种碾磨品质测定结果为试验材料,用多元分析法探讨了糙米率、精米率、整精米率3个碾磨品质的品种(基因型)、地点、品种×地点互作效应和各效应内碾磨品质间的相关关系,进行了参试品种互作效应检验。分析结果表明,糙米率、精米率以品种效应为主,整精米率性状以环境效应最大。相关分析显示,糙米率、精米率呈较强正相关,糙米率、精米率与整精米率均无相关关系。参试品种互作效应检验显示,多数品种整精米率均存在基因型×地点交互作用,糙米率、精米率多数品种较稳定。 Abstract:The genotype,test site,genotype×site effects on brown rice rate,milled rice recovery and head rice recovery as well as the correlation coefficients between the milling qualities within various effects were approached by using multiple analysis method with the data collected from early season indica rice varieties tested in regional trial in Zhejiang Province.Results showed that brown rice rate,milled rice recovery were predominantly affected by genotype.While head rice recovery was mostly conditioned by environment effect.Correlation analysis displayed that there were positive correlation between brown rice rate and milled rice rate.However,no correlation between brown rice rate,milled rice recovery and head rice recovery was found.The analysis of genotype×site of the varieties tested displayed that head rice recovery of the most tested varieties is involved with the interaction effects between the two components,while brown rice rate,milled rice recovery of the most tested varieties were more stable.     

Dissecting the Genetic Basis of Extremely Large Grain Shape in Rice Cultivar ＇JZ1560＇

Rice grain shape,grain length(GL),width(GW),thickness(GT)and length-to-width ratio(LWR),are usually controlled by multiple quantitative trait locus(QTL).To elucidate the genetic basis of extremely large grain shape,QTL analysis was performed using an F2 population derived from a cross between a japonica cultivar ’JZ1560’(extremely large grain)and a contrasting indica cultivar ’FAZ1’(small grain).A total number of 24 QTLs were detected on seven different chromosomes.QTLs for GL,GW,GT and LWR explained 11.6%,95.62%,91.5%and 89.9%of total phenotypic variation,respectively.Many QTLs pleiotropically controlled different grain traits,contributing complex traits correlation.GW2 and qSW5/GW5,which have been cloned previously to control GW,showed similar chromosomal locations with qGW2-I/qGT2-I/qLWR2-2 and qGW5-2/qLWR5-l and should be the right candidate genes.Plants pyramiding GW2 and qSW5/GW5 showed a significant increase in GW compared with those carrying one of the two major QTLs.Furthermore,no significant QTL interaction was observed between GW2 and qSW5/GW5.These results suggested that GW2 and qSW5/GW5 might work in independent pathways to regulate grain traits.’JZ1560’ alleles underlying all QTLs contributed an increase in GW and GT and the accumulation of additive effects generates the extremely large grain shape in ’JZ1560’.     

Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment

Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) strategy. A total of 232 recombinant inbred lines of IR62266/Norungan were used to map QTLs for plant phenology and production traits under rainfed condition in target population of environments. A total of 79 QTLs for plant phenology and production traits with phenotypic variation ranging from 4.4 to 72.8% were detected under non-stress and drought stress conditions across two locations. Consistent QTLs for phenology and production traits were detected across experiments and water regimes. The QTL region, RM204-RM197-RM217 on chromosome 6 was linked to days to 50% flowering and grain yield per plant under both rainfed and irrigated conditions. The same genomic region, RM585-RM204-RM197 was also linked to harvest index under rainfed condition with positive alleles from Norungan, a local landrace. QTLs for plant production and drought resistance traits co-located near RM585-RM204-RM197-RM217 region on chromosome 6 in several rice genotypes. Thus with further fine mapping, this region may be useful as a candidate QTL for MAB, map-based cloning of genes and functional genomics studies for rainfed rice improvement.     

Multi-Environmental Genetic Analysis of Grain Size Traits Based on Chromosome Segment Substitution Line in Rice (<i>Oryza sativa</i> L.)

Grain size traits are critical agronomic traits which directly determine grain yield, but the genetic bases of these traits are still not well understood. In this study, a total of 154 chromosome segment substitution lines (CSSLs) population derived from a cross between a japonica variety Koshihikari and an indica variety Nona Bokra was used to investigate grain length (GL), grain width (GW), length-width ratio (LWR), grain perimeter (GP), grain area (GA), and thousand grain weight (TGW) under four environments. QTL mapping analysis of six grain size traits was performed by QTL IciMapping 4.2 with an inclusive composite interval mapping (ICIM) model. A total of 64 QTLs were identified for these traits, which mapped to chromosomes 1, 2, 3, 4, 6, 7, 8, 10, 11, and 12 and accounted for 1.6%–27.1% of the total phenotypic variations. Among these QTLs, thirty-six loci were novel and seven QTLs were identified under four environments. One locus containing the known grain size gene, qGL3/GL3.1/OsPPKL1, also have been found. Moreover, five pairs of digenic epistatic interactions were identified except for GL and GP. These findings will facilitate fine mapping of the candidate gene and QTL pyramiding to genetically improve grain yield in rice.     

水稻耐亚铁毒QTLs的定位

亚铁毒是潜育性水稻土中限制水稻产量的主要因子。利用龙杂8503／IR64的F2和等价的F3群体,在营养液中培养来定位耐亚铁毒的QTLs。通过构建101SSR标记的遗传连锁图谱来确定耐亚铁毒QTLs的位置和特性。借助叶片棕色斑点指数、株高和最大根长3个性状,利用营养液在水稻苗期来评价F2单株、F3群体和亲本龙杂8503、IR64,共检测到叶片棕色斑点指数、株高和最大根长的QTLs20个,分布在水稻的10条染色体上,表明这些性状受多基因控制。控制叶片棕色斑点指数的QTLs分别定位在第1染色体的RM315-RM212、第2染色体的RM6-RM240和第4染色体的RM252-RM451之间。与前人的研究结果比较发现：1）位于第4染色体RM252-RM451之间的控制叶片棕色斑点指数的QTL与水稻功能图谱上控制叶绿素含量减少的QTL的位置一致。另一个位于第1染色体的RM315-RM212之间的控制叶片棕色斑点指数的QTL与水稻功能图谱上位于C178-R2635之间控制叶绿素含量的QTL连锁。2）位于第2染色体RM6-RM240之间的第3个控制叶片棕色斑点指数的QTL与位于RZ58-CD0686的控制钾吸收的QTL连锁。     

Validation of gene based marker-QTL association for grain dimension traits in rice

Validation of marker-QTL association for genes grain size 3 (GS3), grain weight 2 (GW2), seed width 5 (qSW5) and a QTL qgrl7.1 for grain length was undertaken in a set of 242 diverse rice germplasm. Further, the study was extended to an F₂ mapping population derived from cross of Sonasal, a short grain aromatic rice landrace with Pusa Basmati 1121, a variety with extra long slender grains. Seven gene specific markers, namely, SF28, SR17, RGS1and RGS2 based on GS3, W004 for GW2, MS40671 for qSW5 and RM505 for qgrl7.1, were used for validation. Single marker analysis revealed significant association of these markers to grain size and shape. The marker SF28 explained highest phenotypic variance (37 %) while the marker W004 explained lowest variance (2.6 %) for grain length in the germplasm set at the significance level P?<?0.05. Three markers namely, SF28, MS40671 and RM505 were polymorphic between the parents Sonasal and Pusa Basmati 1121. In the F₂ population, the marker SF28 linked to gene GS3 explained highest phenotypic variance (32.5 %), while RM505 linked to qgrl7.1 explained 5.4 % of phenotypic variance for grain length. The marker SF28 was found to be most robust in the validation studies both in germplasm and F₂ population. The validated gene specific markers can be utilised in marker assisted selection for improving grain size and shape as these traits have significant contribution towards grain quality and grain yield. This is the first study on validation of gene based markers for grain dimension traits in Indian rice germplasm.     

两个水稻骨干恢复系重要农艺性状的遗传基础研究

水稻骨干恢复系是指在杂交稻育种中广泛应用的一类恢复系。探明骨干恢复系的遗传基础,发掘其重要农艺性状基因/QTL,对分子标记辅助选择水稻恢复系育种具有重要应用价值。本研究以生产上广泛应用的三系骨干恢复系成恢727和两系骨干恢复系9311为亲本,培育了具有250个系的重组自交系群体。分别在2015年三亚和2016年合肥两个环境下进行了9个重要农艺性状表型和SSR分子标记基因型鉴定,用SAS9.2分析表型数据,用QTL Ici Mapping v4.1进行QTL定位分析。在三亚和合肥两个环境下共检测到39个QTL,三亚检测到16个,分布于第1、2、4、7、8、10、11和12染色体上;合肥检测24个,分布于第1、2、3、7、8、9、10和12染色体上。其中qPH1-1在三亚和合肥两个环境下都能检测到,加性效应分别为-1.75和-2.46。在检测到的39个QTL中,有24个QTL的增效等位基因来自恢复系成恢727,15个QTL的增效等位基因来自9311。共计有26个QTL曾被前人定位,13个属于尚未见文献报道的新QTL。另外,在RM279~RM521、RM336~RM3534、RM25~RM547、RM553~RM160、RM222~RM271区段内检测到5个多效性QTL位点。其中RM25~RM547位点与已经克隆的基因Ghd8位置相近。RM553~RM160位点是一个新的多效性位点,分别控制每穗实粒数、单株产量和结实率,而且效应和表型变异贡献率都较大。其余3个位点在前人的研究中分别有所报道,但其多效性则是在本研究中首次发现。在本研究新发掘到的QTL中,控制穗数的QTL qPN12-1,控制穗长的QTL qPL1-2和qPL10-1,控制总粒数的QTL qSNP2-1和qSNP10-1,控制结实率的QTL qSF3-1,控制千粒重QTL qTGW7-1和控制产量的QTL qGY1-1效应均比较大,解释的表型遗传变异比例也较高。本研究的结果将会为相关性状QTL的精细定位、克隆和育种应用奠定基础。     

两种供氮水平下水稻生长后期相关性状的QTL定位

以特青为母本与Lemont杂交,然后用特青为轮回亲本回交,建立特青背景下的染色体片段置换系（CSSL）群体。在正常和低氮条件下分别在生长后期对株高（PH）、单株穗数（PN）、叶绿素含量（CC）、地上部干物重（SDW）和单株籽粒产量（YD）等性状进行了QTL分析,共检测到31个QTL。其中在正常供氮水平下控制PH、PN、CC、SDW和YD的QTL数目均为3个;在低氮水平下检测到5、4、5和2个影响PH、PN、CC和SDW的QTL,在低氮水平下没有检测到控制YD的位点。大部分QTL集中在第2、3、7、11和12染色体上,影响不同性状或在两种供氮水平下影响同一性状的QTL在染色体上成串或成簇分布。其中RM30-RM439、RM18-RM478、RM309-RM270、RM235-RM17等区域同时检测到控制两个以上性状的QTL,表现出明显的一因多效现象。推测仅在低氮水平下检测到的QTL可能跟水稻对低氮胁迫耐性有一定的关联。     

Identification of Related QTLs at Late Developmental Stage in Rice (Oryza sativa L.) Under Two Nitrogen Levels

QTL underlying related traits at the late developmental stage under two different nitrogen levels were investigated in rice using a population of chromosome segment substitution lines (CSSL) derived from a cross between Teqing and Lemont. A total of 31 QTLs referring 5 traits, that is, plant height (PH), panicle number per plant (PN), chlorophyll content (CC), shoot dry weight (SDW) and grain yield per plant (YD), were detected. Under normal N level, 3 QTLs were detected for each trait, while under low N level, 5,4, 5 and 2 QTLs were detected for PH, PN, CC and SDW respectively. Most of the QTLs were located on chromosome 2, 3, 7, 11 and 12. QTLs controlling different traits or the same trait under different N levels were mapped on the same or adjacent intervals, forming several clusters in rice chromosomes. More than two traits were controlled by QTLs on one of four intervals (RM30-RM439, RM18-RM478, RM309-RM270, and RM235-RM17), suggesting that there were some pleiotropic effects. It was supposed that some QTLs only detected at low N level might be associated with the ability to tolerate the low N stress in rice.     

Validation and dissection of quantitative trait loci for leaf traits in interval RM4923-RM402 on the short arm of rice chromosome 6

Validation and dissection of a QTL region for leaf traits in rice which has been reported in a number of independent studies were conducted. Three sets of near isogenic lines (NILs) were originated from a residual heterozygous line derived the indica cross Zhenshan 97B/Milyang 46. They were overlapping and totally covered a 4.2-Mb heterogenous region extending from RM4923 to RM402 on the short arm of rice chromosome 6. Each NIL set consisted of 10 maternal lines and 10 paternal lines. They were measured for the length, width, perimeter and area of the top three leaves and the number of spikelets per panicle, number of grains per panicle and grain weight per panicle. In NIL sets 6-4 and 6-7, differing in intervals RM4923-RM225 and RM19410-RM6119, respectively, significant variations with the enhancing alleles from the female parent ZS97 were shown for the length, perimeter and area except for the area of the third leaf from top in 6-4, but the effects were lower in 6-4 than in 6-7. No significant effects were detected for the three traits in the remaining NIL set. It was shown that flag leaf length (FLL) is the primary target of the QTLs detected. Two QTLs for FLL linked in repulsion phase were resolved, of which qFLL6.2 located in the 1.19-Mb interval RM3414-RM6917 had a major effect with the enhancing allele from Zhenshan 97B, and qFLL6.1 located in the 946.8-kb interval RM19350-RM19410 had a smaller effect with the enhancing allele from Milyang 46. The two QTLs also exerted pleiotropic effects on the yield traits.