大豆荚粒相关性状的QTL分析

利用Harosoy和Clark导入到红丰11为背景的初级回交导入系定位了大豆荚粒相关性状的QTL。在两套导入系群体中,对13个荚粒性状共检测到37个相关的QTL位点,分布在18个连锁群上。根据不同群体QTL检测情况,可将其分为3类：第1类为在两套群体同时检测到的QTL,共有23个,分布在13个连锁群上;第2类为只在Clark为供体亲本的群体中检测到的QTL,共有7个,分布在4个连锁群上;第3类为只在Harosoy为供体亲本的群体中被检测到的QTL,共有7个,分布在7个连锁群上。两套群体均检测到的23个QTL,并且有7个QTL与前人研究结果较一致,这些QTL位点为稳定主效的QTL,对荚粒性状贡献较大。本研究所构建的两套大豆回交导入系群体都是以红丰11作为轮回亲本,由于遗传背景较为一致,减小了其对QTL定位的干扰,排除了由于基因累赘所造成的偏差。因此QTL一致性较高,为标记辅助选择培育高产品种奠定了基础。     

陆地棉中G6主要性状主效和上位性QTL分析

利用基于混合线性模犁的复合区间作图法对重组近交系(recombinant inbreed line,RIL)"中G6"进行QTL定位,生育期性状共定位了主效QTL位点5个,上位性QTL位点4对,纤维品质性状定位了主效QTL位点1个,上位性QTL位点6对,产量性状定位了主效QTL位点3个,上位性QTL位点5对.其中定位的果枝始节、吐絮期、上半部平均长度、衣分的主效QTL位点均距离最近标记1 cM以下,这有利于在育种实践中主效QTL跟踪检测.定位的霜前花率主效QTL位点具有较高的加性效应和遗传贡献率,应进行QTL精细定位、图位克隆,将会对早熟性育种工作有一定的推动意义.定位的马克隆值、衣分和予指总的遗传贡献率均在30%以上,对性状特征均影响显著.对主效及上位性QTL位点进行遗传效应分析,验证了前人有关数量性状遗传符合主基因与多基因混合遗传的论断,认为此模型是研究数量性状遗传的有效途经;对主效及上位性QTL位点进行A、D亚基因组定位,并对主效及上位性QTL位点在A、D亚基因组上的分布及互作方式进行了详细的分析.全文认为上位性QTL位点和主效QTL位点一样在物种遗传变异和聚合育种中起着重要作用.     

一个新矮生玉米种质资源矮生性状QTL的定位

用新发现的玉米矮生种质资源矮2003×冀257构建的255个F2:3家系为作图群体, 利用114个覆盖玉米全基因组的SSR标记构建连锁图谱, 图谱总长度2 852.1 cM, 标记间平均距离为27.42 cM。2006年在北京与海南进行随机区组试验, 鉴定了255个F2:3家系成株期株高。用复合区间作图法(composite interval mapping, CIM), 对控制玉米株高性状的遗传位点进行QTL检测。在两个不同环境下均检测到相同的控制玉米株高的QTL位点3个, 分别位于第1和第2条染色体。其中在第1染色体上的1.10~1.11区段存在一个控制株高的主效QTL, 与dwarf plant8 (d8)位置相近, 在北京和海南环境下分别能够解释株高表型变异的50.5%和37.5%, 作用方式表现为显性效应。深入的序列分析结果显示, 该基因/QTL位于已知的d8基因下游20~30 cM的染色体区间, 这可能是玉米中控制株高的一个新基因。     

十和田近等基因系糙米锌含量QTL定位

以十和田为轮回亲本,丽粳2号为供体亲本培育出糙米锌含量近等基因系群体BC5F6为材料,从遍布水稻12条染色体上的600对引物中筛选到一个与糙米锌含量有关的SSR标记RM4608.根据其在水稻染色体上的位置,结合PCR扩增结果又发现了与糙米锌含量有关的4个SSR标记(RM19491,RM19489,RM6119和RM19487).用MAPMAKER3.0软件做出了这5个标记的连锁群,最后采用混合线性模型定位法找到了糙米锌含量的QTL位点.QTL分析结果显示:该位点位于6号染色体上RM4608和RM6119标记之间,贡献率为5%,为新发现的与糙米锌含量有关的微效基因位点,暂命名为qZINC-6.同时与糙米铬和镁含量有关的QTL位点也被发现,其中糙米铬含量QTL位于标记RM19489和RM19491之间,贡献率为9%,是一个主效基因;糙米镁含量QTL位于标记RM4608-RM6119之间,是一个微效基因,贡献率为4%.     

利用广谱抗病基因Pigm改良水稻稻瘟病抗性

为改良已选育的高产优质粳稻高代新品系的稻瘟病抗性,以引进的携带有水稻广谱抗稻瘟病基因Pigm的籼稻品种谷梅4号和粳稻材料MP3为供体,利用花粉管通道技术将其基因组DNA导入到SD-2、SD-3、SD-4、SD-5、SD-6、DJ13、ZD15、14PB1和14PB4等高代品系和品种宁粳43号中,利用Pigm基因的显性标记M26205和M80410对受体及获得的导入系进行检测,结果表明:在所有受体中,两个标记均未扩增出条带,说明所有受体本身都不含Pigm基因;在检测的854株导入株系中,利用标记M26205检测总共有328株能够扩增出856 bp,或1 019 bp和856 bp的条带,初步推断这328个株系携带有Pigm基因,平均阳性株率为40.51%;利用标记M80410检测总共有169株能够扩增出517 bp的条带,推断这169个株系可能携带有Pigm基因,平均阳性株率为19.83%。选择两个标记能同时检测出的阳性植株107株作为Pigm基因的导入系,进行进一步的加代培育和辅助选择。     

毛棉苗期抗旱性状的QTL定位

【目的】通过分析毛棉苗期抗旱相关性状的数量性状位点(Quantitative trait locus,QTL),以期检测稳定的主效QTL,促进栽培品种抗旱性状遗传改良及提高抗旱育种效率。【方法】以四倍体野生种毛棉(Gossypium tomentosum)和陆地棉品种中棉所12(CCRI 12)的种间杂种F2及其F2:3家系为研究材料,用于基因型分型的F2有188个系,用于表型分型的F2:3家系有149个株系。分别在干旱胁迫和正常灌水2个环境下调查表型数据。采用复合区间作图法对F2:3家系苗期相关性状抗旱系数进行QTL定位。【结果】对苗期相关性状抗旱系数的QTL定位分析,共得到16个QTL,其中与株高、叶片数、叶绿素含量、脯氨酸含量、丙二醛含量抗旱系数相关的QTL分别有5个、1个、3个、3个、4个,分布在13条染色体上。来自毛棉的5个加性QTL分别为qSHDC-19-1、qSHDC-19-2、qSLNDC-5-1、qMDADC-24-1、qMDADC-24-2,其加性效应值为0.10~0.22,解释变异9.4%~25.8%。【结论】这些与抗旱相关的QTL有助于棉花抗旱分子标记辅助选择。     

基于高密度遗传图谱的玉米籽粒性状QTL定位

籽粒大小及百粒重是决定玉米产量的重要因素。为解析籽粒性状遗传基础,本研究以玉米自交系黄早四(HZS)和Mo17为亲本,构建包含130个重组自交系(recombination inbred line,RIL)的RIL群体。基于GBS(genotypingby-sequencing)技术获得的高密度多态性SNP(single nucleotide polymorphism)位点,构建了包含1262个Bin标记的高密度遗传图谱。采用完备区间作图法,对5个环境条件下的粒长、粒宽、百粒重、粒长/粒宽4个性状分别进行QTL(quantitative trait locus)定位,共检测到30个QTL。利用5个环境性状均值,共检测到11个QTL。其中粒长主效QTL qklen1、粒长/粒宽主效QTL qklw1在3个单环境条件下均被检测到,且定位在第1染色体相邻区域,物理位置分别为210~212 Mb、207~208 Mb,表型贡献率分别为22.60%和26.79%,被认为是控制玉米籽粒形状的主效位点。针对第1染色体207~212 Mb区间,采用成组法t检验,对黄早四(受体)和Mo17(供体)构建的BC3F1回交群体进行单标记分析。结果表明,在BC3F1群体中qklen1和qklw1同样具有显著的遗传效应。本研究结果不仅为分子标记辅助选择籽粒性状提供了实用标记,而且为主效基因的进一步精细定位和候选基因挖掘奠定了基础。     

利用双向导入系解析水稻抽穗期和株高QTL及其与环境互作表达的遗传背景效应

利用粳稻Lemont和籼稻特青相互导入构建的遗传背景基本一致的双向回交导入系群体,分别在北京和海南环境定位影响抽穗期和株高的主效QTL及其环境互作,分析QTL及其与环境互作表达的遗传背景效应。在北京和海南分别检测到影响抽穗期和株高的主效QTL 16个和17个,其中有5个主效QTL (QHd2、QHd8a、QPh3、QPh5和QPh12)在两种背景下同时被检测到,表明多数主效QTL的表达具有遗传背景特异性。两种背景下检测到影响抽穗期的3个主效QTL (QHd8a、QHd9和QHd10b)存在环境互作,其中QHd8a与海南环境的互作在两种背景下提早抽穗2~3 d,与北京环境的互作则延迟抽穗2~3 d,是影响抽穗期的一个重要主效QTL。通过与以往相同亲本来源的7个不同定位群体在不同环境下定位结果的比较,鉴定出一些在不同遗传背景和环境下稳定表达的主效QTL,如QHd3、QHd8a、QPh3和QPh4,适宜用于水稻抽穗期和株高的分子标记改良。基于QTL定位结果,本文对如何通过分子标记辅助改良品种在不同环境下的抽穗期进行了深入探讨。     

控制普通野生稻种子休眠性QTL的定位

水稻种子休眠性是关系到稻米品质和稻种质量的一个重要农艺性状。研究水稻种子休眠性遗传及分子机制对培育具有适度休眠性的优良水稻品种具有重要意义。本研究以籼稻品种9311为受体、普通野生稻为供体的染色体片段置换系群体为材料,在后熟不同时间检测群体种子休眠性,对控制种子休眠性的QTL进行定位分析,共定位到14个QTL,分布在第3、第4、第5、第6、第7、第10、第11、第12染色体上。筛选休眠性显著强于背景亲本9311的家系,分析这些家系携带的QTL数目,表明携带的位点越多,休眠性越强。进一步利用家系Q14与9311的F2群体验证了第7染色体标记RM180和RM21323之间存在一个效应较大的QTL qSD-7-2,该位点LOD值为18.49,可解释的表型变异率为33.53%,表明该位点是一个控制普通野生稻种子休眠性的主效QTL,且能稳定遗传。本研究为野生稻种子休眠基因的精细定位及克隆奠定了基础,且为培育强休眠性籼稻品种提供了育种材料。     

干旱和灌溉两种处理条件下玉米株高、产量的QTL分析

为了对玉米的抗旱遗传学研究以及开展抗旱分子标记辅助育种提供有力支撑,利用SSR分子标记技术,构建了玉米基于RIL6群体的遗传连锁图谱,包含101个位点,覆盖玉米基因组1 395.2 cM,标记间平均距离为13.81 cM。在灌溉与干旱两种环境下,对该RIL家系的株高、产量进行QTL初级定位,在灌溉条件下,检测到3个控制株高和3个控制产量的QTL,在干旱条件下,检测到5个控制株高和3个控制产量的QTL,两种水分条件下检测出的QTL不同,并找到1个相对稳定的QTL。     

Validation of a major QTL for scab resistance with SSR markers and use of marker-assisted selection in wheat

The objectives of this study were to validate the major quantitative trait locus (QTL) for scab resistance on the short arm of chromosome 3B in bread wheat and to isolate near‐isogenic lines for this QTL using marker‐assisted selection (MAS). Two resistant by susceptible populations, both using ‘Ning7840’ as the source of resistance, were developed to examine the effect of the 3BS QTL in different genetic backgrounds. Data for scab resistance and simple sequence repeat (SSR) markers linked to the resistance QTL were analyzed in the F_2:3 lines of one population and in the F_3:4 lines of the other. Markers linked to the major QTL on chromosome 3BS in the original mapping population (‘Ning7840’/‘Clark’) were closely associated with scab resistance in both validation populations. Marker‐assisted selection for the QTL with the SSR markers combined with phenotypic selection was more effective than selection based solely on phenotypic evaluation in early generations. Marker‐assisted selection of the major QTL during the seedling stage plus phenotypic selection after flowering effectively identified scab resistant lines in this experiment. Near‐isogenic lines for this 3BS QTL were isolated from the F₆ generation of the cross ‘Ning7840’/‘IL89‐7978’ based on two flanking SSR markers, Xgwm389 and Xbarc147. Based on these results, MAS for the major scab resistance QTL can improve selection efficiency and may facilitate stacking of scab resistance genes from different sources.     

基于单片段代换系的玉米百粒重QTL分析

籽粒大小是影响玉米产量的关键因素。本研究基于59份玉米染色体单片段代换系(SSSL)纯合体,对玉米百粒重性状进行2年6个试验环境的表型鉴定,利用t测验和重叠群作图的方法对SSSL内代换片段上的百粒重效应进行了QTL分析。共检测出20个百粒重QTL,分布在玉米的8条染色体上,其中14个(70.0%)在2个以上试验环境中被重复检出,4个(20.0%)在4个以上试验环境中被重复检出,在全部6个试验环境中重复检出且基因加性效应值较大的玉米百粒重QTL是位于玉米第5染色体Bin5.05区SSR分子标记bnlg278和umc1680附近的q100kw-5-3。研究结果为玉米籽粒大小性状相关基因的进一步精细定位和克隆奠定了基础。     

Identification of QTLs for rice grain size and shape of Iranian cultivars using SSR markers

Grain size is a main component of rice appearance quality. In this study, we performed the SSR mapping of quantitative trait loci (QTLs) controlling grain size (grain length and breadth) and shape (length/breadth ratio) using an F₂ population of a cross between two Iranian cultivars, Domsephid and Gerdeh, comprising of 192 individuals. A linkage map with 88 markers was constructed, which covered 1367.9 cM of the rice genome with an average distance of 18 cM between markers. Interval mapping procedure was used to identify the QTLs controlling three grain traits, and QTLs detected were further confirmed using composite interval mapping. A total of 11 intervals carrying 18 QTLs for three traits were identifed, that included five QTLs for grain length, seven QTLs for grain breadth, and six QTLs for grain shape. A major QTL for grain length was detected on chromosome 3, that explained 19.3% of the phenotypic variation. Two major QTLs for grain breadth were mapped on chromosomes 3 and 8, which explained 34.1% and 20% of the phenotypic variation, respectively. Another two major QTLs were identified for grain shape on chromosomes 3 and 8, which accounted for 27.1% and 20.5% of the phenotypic variance, respectively. The two QTLs that were mapped for grain shape coincided with the major QTLs detected for grain length and grain breadth. Intrestingly, gs2 QTL specific to grain shape was detected on chromosome 2 that explained 15% of the phenotypic variation.     

Identification of QTLs controlling low‐temperature tolerance during the germination stage in cucumber (Cucumis sativus L.)

Poor seed germination of cucumber at suboptimal temperatures is a great concern for growers wishing to take advantage of the early market. The development of low‐temperature‐tolerant varieties would be aided by understanding the inheritance of the trait and mapping its locus. In this study, a set of 140 recombinant inbred lines (RILs) derived from a cross between 65G (low‐temperature‐tolerant) and 02245 (low‐temperature‐sensitive) was used to identify the QTLs linked with low‐temperature tolerance. A linkage map was developed using 135 simple sequence repeat (SSR) markers and five insertion–deletion (Indel) markers, and three QTLs were identified, qLTG1.1, qLTG2.1 and qLTG4.1. qLTG1.1, the major one for germination rate, germination energy and germination index, explained more than 50% of the observed phenotypic variability. The major QTL for radicle length, qLTG4.1, explained 13.8% of the phenotypic variability. The results showed that qLTG1.1 and qLTG4.1 play an important role in low‐temperature tolerance during seed germination of cucumber and provide a basis for further fine mapping to determine the molecular mechanism for this trait.     

Mapping and use of QTLs controlling pod dehiscence in soybean

While the cultivated soybean, Glycine max (L.) Merr., is more recalcitrant to pod dehiscence (shattering-resistant) than wild soybean, Glycine soja Sieb. & Zucc., there is also significant genetic variation in shattering resistance among cultivated soybean cultivars. To reveal the genetic basis and develop DNA markers for pod dehiscence, several research groups have conducted quantitative trait locus (QTL) analysis using segregated populations derived from crosses between G. max accessions or between a G. max and G. soja accession. In the populations of G. max, a major QTL was repeatedly identified near SSR marker Sat_366 on linkage group J (chromosome 16). Minor QTLs were also detected in several studies, although less commonality was found for the magnitudes of effect and location. In G. max × G. soja populations, only QTLs with a relatively small effect were detected. The major QTL found in G. max was further fine-mapped, leading to the development of specific markers for the shattering resistance allele at this locus. The markers were used in a breeding program, resulting in the production of near-isogenic lines with shattering resistance and genetic backgrounds of Japanese elite cultivars. The markers and lines developed will hopefully contribute to the rapid production of a variety of shattering-resistant soybean cultivars.     

水稻第1染色体长臂上微效千粒重QTL qTGW1.2的验证与分解

本文报道了水稻第1染色体长臂上微效千粒重QTL qTGW1.2的验证和分解。针对前期qTGW1.2定位结果, 应用SSR标记检测, 从籼籼交组合珍汕97³/密阳46衍生的1个BC₂F_{7分离群体中, 筛选到杂合区间分别为RM11621-RM297和RM212-RM265的2个单株, 构建了两套BC2F8:9近等基因系, 将qTGW1.2进一步界定在RM212-RM265及其两侧交换区间的区域内。}在此基础上, 筛选出5个在目标区间内分离片段缩小且呈阶梯状排列的单株, 衍生了5套BC₂F₁₀分离群体, 应用Windows QTL Cartographer 2.5进行QTL分析。结果表明, 每套群体均检测到千粒重QTL, 加性效应为0.13~0.38 g, 来自密阳46的等位基因提高千粒重; 经比较各个群体的分离区间, 将qTGW1.2分解为互引连锁的2个QTL, 其中, qTGW1.2a位于RM11730和RM11762之间934 kb的区域内, 呈加性作用, qTGW1.2b位于RM11800和RM11885之间2.1 Mb的区域内, 呈正向超显性。     

Genetic diversity of resistance genes controlling fusarium head blight with simple sequence repeat markers in thirty-six wheat accessions from east asian origin

Summary Fusarium head blight (FHB) is a serious disease of wheat worldwide that may cause substantial yield and quality losses. Breeding for FHB-resistant cultivars is the most cost-effective approach to control FHB. The objective of the present study was to determine the relationship of resistance between new resistant sources and Sumai 3 using five simple sequence repeat (SSR) markers closely linked to the major QTL for FHB resistance on chromosome arms 3BS and 6BS. All five SSR markers were highly polymorphic between Sumai 3 (and its derivatives) and susceptible Canadian wheat lines. Most of the Sumai 3-derived Chinese wheat accessions and three Canadian FHB-resistant lines had all the Sumai 3 SSR marker alleles on chromosome arms 3BS and 6BS. The Chinese landrace Wangshuibai and two Japanese accessions Nobeokabozu and Nyu Bai had the same banding patterns as Sumai 3 for all five SSR marker alleles, and another Chinese landrace Fangshanmai had three of the five SSR markers in common with Sumai 3, and therefore most likely carries the same QTL as Sumai 3 on 3BS and 6BS. The Brazilian cultivar Frontana had no alleles in common with Sumai 3 on either QTL, and the Chinese landrace Hongheshang had only one of the five SSR markers in common with Sumai 3, therefore likely carrying resistance genes different from Sumai 3. The Italian cultivar Funo is not the donor of either the 3BS QTL or 6BS QTL. All five SSR seem to be effective candidates for marker-assisted selection to increase the level of resistance to FHB in wheat breeding programs.     

基于高密度Bin图谱的水稻抽穗期QTL定位

以粳稻品种02428和籼稻品种玉针香进行杂交, 按单粒传法连续自交10代, 得到包含192个株系的重组自交系(RIL)作图群体。通过对两亲本重测序及RIL群体简化基因组测序, 构建了包含2711个Bin标记的高密度遗传图谱。该图谱各染色体标记数在162~311个之间, 标记间平均物理距离为137.68 kb。将亲本及192个株系分别于4个环境下采用随机区组种植, 并记录抽穗期。使用WinQTL Cartographer 2.5软件的CIM分析方法, 进行抽穗期相关QTL检测及定位。在4个环境下定位到影响抽穗期的QTL共14个, 分布于第1、第2、第3、第7、第8、第9和第10染色体。其中, qHD2.2和qHD10.2能在3个环境中被重复检测到, 表型贡献率分别为5.14%~11.15%和5.35%~16.97%, 分别能缩短抽穗期1.66 d和1.56 d, 具有聚合育种的应用价值。通过物理位置比对, 14个QTL中有11个与前人定位在相同或邻近区域, qHD1.1、qHD2.2和qHD9.1尚未见报道。经对qHD2.2详细分析, 在其染色体区间内找到3个与抽穗期相关的注释基因LOC_Os02g46450、LOC_Os02g46710和LOC_Os02g46940, 其中LOC_Os02g46450已被克隆。测序分析发现, 这3个基因在两亲本间都存在差异, 可作为候选基因。     

YM型小麦温敏雄性不育系不育基因的QTL定位

YM型小麦温敏雄性不育系的不育基因被定位在1Bs染色体片段上, 但已发现的相邻分子标记与该基因的遗传距离较大, 达10 cM以上。为寻找与该基因连锁更紧密的分子标记, 以YM型温敏雄性不育系ATM3314与恢复系中国春杂交的F₂代200株为作图群体, 从1Bs的22个SSR引物中筛选出5个在亲本和F₂代中分离的SSR引物, 构建了1个包含5个标记的1Bs局部遗传连锁图谱。结合F₂代个体的育性调查, 采用复合区间作图法在YM型温敏雄性不育系的1Bs染色体上检测到不育基因的1个主效QTLrfv1-1和1个微效QTLrfv1-2。rfv1-1位于SSR标记Xgwm18和Xwmc406之间, 与两标记的遗传距离分别为6.0 cM和4.6 cM, LOD值为8.80, 加性效应23.87, 显性效应10.44, 可解释表型变异的23.91%; rfv1-2位于Xwmc406和Xbarc8之间, 与两标记的遗传距离分别为4.0 cM和3.4 cM, LOD值为3.10, 加性效应17.59, 显性效应5.99, 可解释表型变异的7.78%。本研究初步定位了YM型小麦温敏雄性不育系1Bs染色体片段上不育基因的QTL, 为进一步准确定位该基因奠定了基础。     

Mapping QTLs for salt tolerance in an introgression line population between Japonica cultivars in rice

QTL analysis of physiological traits related to salt tolerance was carried out using 117 BC₃F₅ lines derived from a cross between “Ilpumbyeo” as a recurrent parent and “Moroberekan” as a donor parent. The 117 introgression lines with the parents were evaluated for five traits; dry weight, fresh weight, leaf area, seedling height, and survival rate under control and salinity conditions (55 mM) at the seedling stage. To identify QTLs related to salt tolerance, 125 SSR markers showing polymorphisms between the parents were genotyped for the 117 BC₃F₅ lines. A total of eight QTLs were detected on chromosomes 1, 6, and 7. These include two QTLs on chromosomes 6 and 7 for reduction rate of dry weight (R² = 10.2∼13.6%), three QTLs on chromosomes 1, 6, and 7 for reduction rate of fresh weight (R² = 10.9∼13.9 %), two QTLs on chromosomes 1 and 7 for reduction rate of leaf area (R² = 12.1%), and one QTL on chromosome 7 for reduction rate of seedling height (R² = 10.5%). The Moroberekan alleles contributed the positive effect at these eight QTL loci. Although the parents, Ilpumbyeo and Moroberekan, were not salt tolerant as the salt tolerant check variety, Pokkali, some lines displayed a similar level of tolerance as Pokkali. The effect of the QTL on chromosome 7 was further confirmed by evaluating four lines containing the target QTL for fresh and dry weight, turgid weight, and relative water content (RWC). Significant differences between each line and Ilpumbyeo were detected for dry and fresh weight, and RWC values, and these results seem to indicate the beneficial effect of the Moroberekam alleles for salt tolerance. A set of introgression lines are being developed containing only few chromosomal segments from Moroberekan in the Ilpumbyeo background. These would be useful in developing salt tolerant lines in the breeding program.