水稻幼苗活力性状的低温反应数量性状基因座检测

以籼粳交“密阳23/吉冷1号”的F2：3代200个家系作为作图群体,在12℃冷水胁迫下,进行苗高、苗鲜重和苗干重等水稻幼苗活力性状的低温反应鉴定,并利用由SSR标记构建的分子连锁图谱为基础,对冷水胁迫下苗高、苗鲜重和苗干重以及它们的低温反应指数进行了数量性状基因座（QTLs）检测。研究结果表明,低温胁迫下上述幼苗活力性状在F3家系群中均表现为接近正态的连续分布,表现为由多基因控制的数量性状;在第1、2、7、8和12染色体上,检测到与幼苗活力性状的低温反应相关的QTL共12个,对表型变异的贡献率范围为5．2％-17．9％,其中位于第2染色体RM262-RM263区间和第12染色体RM270-RM17区间的与低温下苗高相关的qCSH2和qCSH12,以及位于第12染色体RM19-RM270区间和第1染色体RM129-RM9区间的分别控制低温下苗干重及其低温反应指数的qSDW12和qCSDW1对表型变异的贡献率较大,分别为16．6％、17．9％、15．9％和16．2％。其增效等位基因均来自吉冷1号,前两者均表现为加性效应,后两者分别表现为显性和超显性。     

水稻低温发芽性QTL的分子标记定位

利用1个粳／籼交来源的重组自交系群体,采用纸卷法在15℃低温条件下进行发芽试验,在发芽培养的6～14d中每天观测统计1次发芽率(％)。结合一张含有198个DNA标记的连锁图谱,用复合区间作图法定位水稻低温发芽性QTL。共检测到7个主效应QTL,分别位于水稻1、3、5、6和8号染色体上,单个QTL对性状的贡献率为5％～16％。其中,位于3号染色体标记区间RM148-RM85的qLTG-3-2和位于8号染色体标记区间RM223-RM210的qLTG-8-1对性状的贡献率最大,分别达16％和14％。QTL qLTG-3-2在发芽培养6～10d中表达,其效应由强渐弱,对性状的贡献率由发芽培养6d时的16．4％逐渐降低为发芽11d时的5．1％;而QTL qLTG-8-1则在发芽培养9～14d中起作用,其效应值由小逐渐增大,对性状的贡献率由发芽9d时的8．6％逐渐上升为发芽13～14d的14％。尽管这2个QTL加性效应的大小在低温发芽过程中按一定趋势变化,但加性效应的方向始终是一致的。QTL qLTG-3-2的增效基因来源于亲本特青,而QTL qLTG-8-1的增效基因来自于亲本Lemont。这2个QTL的增效等位基因有望作为分子标记辅助育种的操作对象,用于水稻品种低温发芽性的遗传改良。     

水稻RIL群体苗期耐冷性QTL分析

水稻苗期冷害是影响早春季节和高纬度地区水稻成苗和秧苗生长的重要限制因素之一。为了鉴定控制水稻苗期耐冷性的QTL,研究采用了1个水稻“粳籼交”重组自交系(RIL)群体,结合1张高密度分子遗传图谱,对3叶期幼苗经过10℃冷处理3d、恢复培养2d和4d时的秧苗存活率进行复合区间作图。亲本Lemont和特青的苗期耐冷性具有极显著差异,Lemont的苗期耐冷性很强,而特青对低温敏感。在重组自交系群体中,苗期耐冷性表现为连续变异,在两个方向上均出现大量超亲分离。共检测到5个水稻苗期耐冷性QTL,分别位于水稻1、3、8和11号染色体上,单个QTL对性状的贡献率为7％～21％。其中,4个QTL的增效基因来源于亲本Lemont,另1个QTL的增效基因来源于亲本特青。2个主效QTL(qSCT-3和qSCT-8)分别位于3号染色体标记区间RM282-RM156和8号染色体标记区间RM230—RM264,对性状的贡献率达到或接近20％,被检测到的LOD值显著较高,其增效基因均来自于耐冷性亲本Lemont。研究结果进一步揭示了水稻苗期耐冷性QTL具有丰富的位点多样性,表明耐冷性普遍较强的粳稻是发掘苗期耐冷性优异基因的主要稻种资源。     

水稻籼粳交DH群体苗期耐冷性基因的分子标记定位

水稻苗期低温冷害导致的烂秧现象是水稻生产中重要的限制因素之一。以一个水稻籼粳交(圭630／02428)DH群体为材料,在幼苗3叶1心时用10℃低温处理3d,随后恢复培养,以恢复培养5d后的秧苗成活率(％)为指标,鉴定该DH群体的苗期耐冷性。利用已构建的RFLP连锁图谱和基于混合线性模型的定位软件QTLMapper1.0对水稻苗期耐冷性进行QTL分析,检测到控制水稻苗期耐冷性的3个QTLs,分别位于第3、11、12染色体上,贡献率分别为7．9％、18．3％和24.4％,其增效等位基因均来自于亲本“02428”。同时检测到控制水稻苗期耐冷性的上位性互作位点8个,分散分布于第2、7、8、9、11染色体上,其中有2对互作的贡献率在15％左右,这2对互作的增效基因型均为来自2个亲本的重组基因型。苗期耐冷性在2个亲本间差异很大,在DH群体中呈现出连续变异,有明显的超亲分离。这些结果表明,水稻苗期耐冷性是受多基因控制的数量性状,基因的上位性互作是其重要的遗传基础之一。     

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。     

水稻RIL群体芽期耐冷性基因的分子标记定位

水稻芽期冷害是我国长江中下游的早稻种植区和东北、西北稻区及云贵高原的一季稻区水稻生产中的重要限制因子之一。研究中利用纸卷法测定1个水稻重组自交系群体对10℃低温的芽期耐冷性,结合1张高密度分子遗传图谱,进行QTL定位分析。检测到控制水稻芽期耐冷性的4个QTL,分别位于1、3、7和11号染色体上。其中,位于11号染色体上的QTL qSCT-11的效应最大,在10℃低温处理13d时,对性状的贡献率达26％～30％,被检测到的LOD值也高达16～19,其加性效应值为正,增效等位基因存在于亲本Lemont中,RM202为与QTL qSCT-11紧密连锁的SSR标记。该主效QTL的增效基因,可作为分子标记辅助选择的操作对象用于水稻芽期耐冷性的遗传改良。     

水稻低温发芽力QTL定位和遗传分析

以Kinmaze(粳稻)／DV85(籼稻)的重组自交系F10世代群体检测了影响水稻低温发芽力性状的数量性状基因座(QTL)。通过测定不同时期的低温发芽率,确定了15℃低温、第10d为检测低温发芽率的最适处理温度和时间,该条件下能够充分检测到品种的差异和分离群体的变异。通过设置对照,证明所检测的低温发芽率不受休眠及二次休眠的影响。15℃低温、第10d时,Kinmaze的发芽率达35％,DV85的发芽率只有7％,两亲本之间存在明显差异,该群体81个家系的低温发芽率变幅在0％～99％之间。QTL分析结果检测到5个与低温发芽力相关的基因座,分别位于第2、6、7、11和12染色体上。位于第2、6和11染色体上的qLTG-2、qLTG-6和qLTG-11贡献率分别为27．1％、17．1％和15．0％,对低温发芽力性状的增效基因来自DV85;位于第7、12染色体上qLTG-7和qLTG-12的贡献率分别为22．9％和8．8％,增效基因来自Kinmaze。其中,qLTG-6和qLTG-11在染色体上的位置与已报道的有关低温发芽力QTL位置相似,而qLTG-2、qLTG-7和qLTG-12为新检测的低温发芽力基因座。上位性分析结果显示,第3与第5染色体上存在影响低温发芽力的互作位点,其互作可以提高低温发芽力,而第7染色体上的两位点之间的互作降低了低温发芽力。     

黑龙江省水稻空壳率与孕穗期低温的关系

对黑龙江省6个主要水稻品种(龙稻3号、垦稻12号、空育131、龙稻7号、龙粳16号和松粳6号)进行孕穗期低温(处理温度分别为15℃、17℃、19℃,低温持续时间分别为2、4、6和8d)处理,采用线性内插和统计回归方法,分析了水稻单穗空壳率与孕穗期低温的关系.结果表明:研究区敏感性水稻品种和耐冷性较强水稻品种的障碍型冷害临界温度分别为17℃和16℃;孕穗期水稻对低温最敏感的时期为抽穗前14～18d.15℃低温处理8d时,松粳6号、垦稻12号的空壳率明显增加,空育131空壳率小幅升高,表明松粳6号和垦稻12号对低温反应较敏感、耐冷性较弱,而空育131对低温反应迟钝,耐冷性较强;垦稻12号、龙粳16号、空育131的冷积温与空壳率存在显著的相关关系(P0.01),随着冷积温的增加,水稻空壳率明显升高,但品种间的增幅不同.     

低温胁迫下粳稻选育品种耐冷性状的鉴定评价

选取来源于中国11个省份和其他9个国家的347份粳稻选育品种作为试验材料,分析了自然低温和冷水胁迫下,不同来源粳稻选育品种孕穗期的耐冷性及主要农艺性状的表型差异和聚类特点。研究表明,在自然低温和冷水胁迫下各省份或国家粳稻选育品种主要农艺性状及其冷水反应指数有明显的差异。在自然低温和冷水胁迫下,云南和日本品种的孕穗期结实率及其冷水反应指数均较高,表现出较强的孕穗期耐冷性。从总体趋势上看,在自然低温下,除个别省份外,我国纬度相对较高的北方省份品种的孕穗期耐冷性强于纬度相对较低的南方省份品种;而在冷水胁迫下,品种的耐冷性与其来源地的关系并不密切,没有呈现出一定的规律性。此外,聚类结果表明,不同省份或国家粳稻选育品种的聚类结果与其品种的地理来源均有一定的相关性,而与自然条件相比,冷水胁迫下粳稻选育品种的聚类结果与其品种的地理来源的相关性更为密切。     

水稻苗期低温失绿的遗传分析及基因定位

在早季低温条件下, 籼稻品种Dular的幼苗表现出白化失绿, 而粳稻品种Lemont幼苗表现正常绿色。以Lemont和Dular作亲本构建一个F2群体,通过该群体在早季低温条件下性状的表现,发现Lemont和Dular苗期耐冷性的差异受单个主基因控制,低温下白化失绿等位基因为隐性。将该基因暂时命名为cisc(t)。利用该F2群体,采用集团分离分析(BSA)法将cisc(t)定位在9号染色体上。经过对F2群体中100个典型的白化单株的简单序列长度多态性分析,将该基因定位在5.5 cM的区间内,分别与微卫星标记RM257和RM242相距3.9 cM和1.6 cM。     

Genetic and QTL Analysis for Low-Temperature Vigor of Germination in Rice

The quantitative trait loci (QTLs) for low-temperature vigor of germination (LVG) with a germination period of 7 d, 11 d, 14 d, and 17 d at 14 °C was identified using F_2:3 population, which included 200 individuals and lines derived from a cross of indica and japonica “Milyang 23/Jileng 1” with microsatellite markers. The correlation coefficient between LVG and other cold tolerance traits was analyzed. LVG and the cold response index for vigor of germination (CIVG) detected when the germination period was 7 d showed a continuous distribution, which was partial to lower LVG and lower CIVG in F₃ lines. LVG and CIVG detected when the germination periods were 11 d, 14 d, and 17 d showed a continuous distribution near normal, which were quantitative traits controlled by multiple genes. LVG detected when the germination period was 14 d was more correlated with other cold tolerance traits than LVG detected when the germination periods were 7 d, 11 d, and 17 d, which was significantly associated with cold tolerance during the bud bursting period, the seedling stage, the booting stage, and the growing ability under cold conditions. qLVG2 located in RM29-RM262 on chromosome 2, qLVG7-2 and qCIVG7-2 located in RM336-RM118 on chromosome 7 were detected when the germination periods were 11 d, 14 d, and 17 d. qCIVG2 located in RM29-RM262 on chromosome 2 was detected when the germination periods were 11 d and 14 d. The variation is due to the observed phenotypic variation by the above QTLs, which was increased following the germination. The variation of qLVG2 related to LVG was increased from 6.9% to 14.2%. The variation of qLVG7-2 associated with LVG was increased from 9.9% to 11.2%. The variation of qCIVG2 correlated with CIVG was increased from 6.3% to 9.0%. The variation of qCIVG7-2 associated with CIVG was increased from 8.3% to 12.9%. These QTL alleles were obtained from the tolerant parent Jileng 1, and the gene action was most likely to be partially dominant.     

Identification of quantitative trait loci for the dead leaf rate and the seedling dead rate under alkaline stress in rice

The quantitative trait loci (QTLs) for the dead leaf rate (DLR) and the dead seedling rate (DSR) at the different rice growing periods after transplanting under alkaline stress were identified using an F2:3 population, which included 200 individuals and lines derived from a cross betweea two japonica rice cultivars Gaochan 106 and Changbai 9 with microsatellite markers. The DLR detected at 20 days to 62 days after transplanting under alkaline stress showed continuous normal or near normal distributions in F3 lines, which was the quantita-tive trait controlled by multiple genes. The DSR showed a continuous distribution with 3 or 4 peaks and was the quantitative trait con-trolled by main and multiple genes when rice was grown for 62 days after transplanting under alkaline stress. Thirteen QTLs associated with DLR were detected at 20 days to 62 days after transplanting under alkaline stress. Among these, qDLR9-2 located in RM5786-RMI60 on chromosome 9 was detected at 34 days, 41 days, 48 days, 55 days, and 62 days, respectively; qDLR4 located in RM3524-RM3866 on chromosome 4 was detected at 34 days, 41 days, and 48 days, respectively; qDLR7-1 located in RM3859-RM320 on chromosome 7 was detected at 20 days and 27 days; and qDLR6-2 in RM1340-RM5957 on chromosome 6 was detected at 55 days and 62 days, respectively. The alleles of both qDLR9-2 and qDLR4 were derived from alkaline sensitive parent "Gaochan 106". The alleles of both qDLR7-1 and qDLR6-2 were from alkaline tolerant parent Changbai 9. These geue actions showed dominance and over dominance primarily. Six QTLs associated with DSR were detected at 62 days after transplanting under alkaline stress. Among these, qDSR6-2 and qDSR8 were located in RM1340-RM5957 on chromosome 6 and in RM3752-RM404 on chromosome 8, respectively, which were asso-ciated with DSR and accounted for 20.32% and 18.86% of the observed phenotypic variation, respectively; qDSR11-2 and qDSR11-3 were located in RM536-RM479 and RM2596-RM286 on chromosome 11, respectively, which were associated with DSR explaining 25.85% and 15.41% of the observed phenotypic variation, respectively. The marker flanking distances of these QTLs were quite far ex-cept that of qDSR6-2, which should be researched further.     

粳稻蒸煮食味品质相关性状的QTL分析

以沈农265和丽江新团黑谷杂交衍生的重组自交系群体(RILs)为实验材料,对12个粳稻(Oryza sativa subsp.japonica)蒸煮食味品质相关性状进行QTL分析。共检测到29个蒸煮食味品质相关的QTLs,分布于除第8染色体外的11条染色体上,LOD值介于2.50–16.47之间,加性效应值为–132.69–471.85,单个QTL贡献率为10.36%–73.24%。在第6染色体RM508–RM253区域检测到1个蒸煮营养食味品质多效性QTL簇,其中q AC6表型贡献率最大,解释73.24%的表型变异;在第10染色体PM166–RM258区域检测到2个与蒸煮食味品质相关的QTLs,分别是控制口感的q CTS10和综合评分的q CCS10。此外,检测到15个与RVA特征谱相关的QTLs,在第6染色体RM253–RM402区域检测到3个与RVA谱特征值相关的QTLs,表型贡献率均大于12%。这些定位结果将为粳稻蒸煮食味相关品质的分子遗传机理研究奠定基础。     

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.     

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。     

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.     

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。     

直播条件下水稻6个穗部性状的QTL分析

在大田直播条件下,利用来源于＂Lemont/特青＂的重组自交系群体,对水稻6个穗部性状及其相互间遗传相关的分子基础进行了QTL分析,共检测到19个QTL,各性状QTL数为2～4个,单个QTL贡献率为4%～22%。共检测到3个染色体区段能同时影响多个穗部性状,其中第1染色体RM212-RM104和第2染色体RM263-RM221区段的QTL能同时影响单株产量、每穗颖花数、着粒密度和二次枝梗数中的3个或4个性状,且这2个区段的QTL对各性状的效应方向相同,增效等位基因均来自‘特青’,为各性状间表型正相关提供了重要的遗传解释。第11染色体RG1022附近的QTL对着粒密度的效应值为负,来自‘特青’的等位基因增加性状值,而对穗长的效应值为正,来自‘特青’的等位基因降低性状值,为这2个性状间表型负相关也提供了一定的遗传解释。此外,对水稻穗部性状QTL在多种环境和遗传背景下的稳定表达及其在分子标记辅助育种中的应用进行了讨论。     

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.