小麦籽粒干物质积累的动态QTL定位

以波兰小麦品系‘XN555’与普通小麦品系‘中13’杂交产生的99个F10重组自交系(RILs)为材料,构建了包含241个SSR分子标记的A、B染色体组14个连锁群的遗传图谱,并采用Logistic方程拟合籽粒灌浆过程,对粒重增长的缓慢增长期、快速增长期和平稳期进行千粒重条件QTL和非条件QTL定位分析。结果显示:(1)在小麦A、B染色体组上共检测到5个非条件QTL和5个条件QTL。(2)在小麦粒重缓慢增长期和快速增长期各有2个非条件QTL,平稳期有1个非条件QTL,它们分别位于2B、3A、3B和7A染色体上,单个QTL可解释表型变异的9.66%～15.18%。(3)在小麦粒重快速增长期检测到1个条件QTL,平稳期检测到4个条件QTL,涉及1A、2B、5B和7B染色体,单个QTL可解释表型变异的13.01%～29.27%。(4)于2B染色体Xbarc361～Xwmc422标记区间距Xbarc361标记0.05cM处,在粒重快速增长期同时检测到一个条件QTL和非条件QTL,且在平稳期检测到一个非条件QTL。研究表明,小麦不同灌浆时期粒重增长相关QTL的数量和遗传效应各不同,同一QTL在不同灌浆时期的遗传效应也不同,即QTL的表达具有时序选择性。     

小麦早衰及其相关生理性状的QTL分析

利用RIL群体及其分子标记遗传图谱,对小麦早衰指标和与早衰相关的6个生理性状进行了QTL定位分析。小麦早衰指标中,检测到2个籽柆饱满度的加性QTL,分别位于3A和3B染色体,可解释表型变异的9.62%和18.30%。生理性状中,共检测到可溶性蛋白含量、SOD活性和POD活性3个性状的5个加性QTL,涉及2A、2B、2D、4A和6B等5条染色体,可解释表型变异的8.1%~49.56%。这些QTL间不存在连锁关系。     

不同发育时期小麦粒重性状QTL的动态分析

利用6044×01-35构建的重组自交系(RIL)群体为试验材料,对小麦粒重性状进行发育动态QTL分析。结果表明,在小麦花后子粒灌浆的7个不同时期,两个试验点共检测到16个与粒重性状相关的QTL。其中开花后20d检测到的单穗粒重QTL位于2A染色体上,解释率达12%,遗传效应超过10;两环境下控制千粒重QTL在7个时期均被检测到。花后的各个时期均能在Xgwm448-Xgpw7399标记区间定位到千粒重QTL。其中花后10d检测到1个千粒重QTL,位于2A染色体的Xgwm448-Xgpw7399标记区间,解释较大的表型变异,达到18%。Qtl8、Qtl13和Qtl14均定位在Xgwm448-Xgpw7399标记区间的同一位置,共同解释11%的表型变异。花后20d和花后25d均检测到1个QTL,位于2A染色体的Xgwm372-Xgwm95标记区间的不同位点,均能解释4%的表型变异。花后40d检测到1个QTL,位于1D染色体的Xwmc93-Xgpw2224标记区间,解释1%的表型变异。从连锁群的位置上看,控制千粒重的QTL主要集中在2A染色体的Xgwm448-Xgpw7399标记区间,这是一个控制千粒重QTL的富集区域,以期进行精细定位和图位克隆。     

小麦旗叶早衰性状的QTL定位

为小麦旗叶早衰性状的精细定位和基因克隆奠定基础,该试验以普通小麦(Triticum aestivum L.)‘宁春4号’和‘宁春27号’杂交得到的128个F10代RIL群体为研究材料,利用307对多态性SSR标记对小麦旗叶早衰性状进行了QTL定位,并通过构建整合图谱的方法进行了标记加密。结果表明,共检测到1个控制旗叶早衰性状的加性QTL,位于2A染色体长臂的gwm526和gwm382标记区间内,可解释49.88%的表型变异。经遗传图谱整合后发现,gwm526和gwm382标记之间存在124个SNP标记。     

小麦苗期水分利用效率及其相关性状的QTL分析

以小麦DH群体(旱选10号×鲁麦14)为研究材料,采用复合区间作图法,对小麦幼苗在水分胁迫及非胁迫条件下的水分利用效率(WUE)及其相关性状的QTL进行定位,并对比分析QTL的加性效应.两种水分条件下共检测到14个具显著加性效应的QTL,分布在2A、3A、4A、5A、6A、7A、1B、3B、3D染色体上,可解释表型变异的范围在6.36%～19.73%.其中,非胁迫(对照)条件下检测到10个QTL,包括2个单株WUE的QTL,5个地上部WUE的QTL,1个根系WUE的QTL及2个总耗水量的QTL;水分胁迫条件下上述性状各检测到1个QTL.对于同一性状没有检测到在两种水分条件下均位于同一标记区间的QTL,表明不同水分环境条件下同一性状的QTL表达模式是不同的.论文也讨论了可能用于标记辅助选择的QTL及其分子标记.     

小麦幼苗耐热性的QTL定位分析

以小麦DH群体(‘旱选10号’ב鲁麦14’)为材料,在高温(热胁迫)及常温(对照)两种条件下考察小麦幼苗的根干重、苗干重、幼苗生物量、叶片叶绿素含量、叶绿素荧光参数及其耐热指数,并应用基于混合线性模型的复合区间作图法分析幼苗性状及其耐热指数QTL的数量、染色体分布及表达情况,以及QTL与环境的互作效应。结果显示:(1)亲本‘旱选10号’的耐热性明显优于‘鲁麦14’,且杂交后代的耐热性出现超亲分离。(2)控制幼苗耐热相关性状的QTL位点在染色体2D、6B、3A、4A、5A和7A上分布较多,而控制幼苗性状耐热指数的QTL在染色体6A、6B、3A、2D、5A和7A上分布较多,QTL位点在染色体上的分布有区域化的趋势。(3)控制幼苗性状的单个加性QTL和上位性QTL解释的表型变异分别平均为2.48%和2.65%;而控制耐热指数的单个加性QTL和上位性QTL解释的表型变异分别平均为8.84%和1.98%。(4)在热胁迫和对照条件下共检测到与幼苗性状及其耐热指数有关的加性效应QTL 13个和上位性效应QTL 28对,分布在除4D和6D以外的19条染色体上。研究表明,控制幼苗性状的QTL以上位性效应为主,而其耐热指数的QTL以加性效应为主。     

小麦-冰草衍生后代 3558-2 穗部相关性状的遗传分析和QTL定位

从普通小麦Fukuho与冰草(Agropyron cristatum,2n=4x=28,PPPP)Z559的衍生系中发现3558-2具有小穗数、小穗粒数和穗粒数多的优异性状.为了揭示衍生系3558-2优异性状的遗传特征,本研究对其与小麦品种京4841间的282个F2单株的穗长、小穗数、小穗粒数、穗粒数等穗部相关性状进行了遗传分析和QTL定位.主基因+多基因混合遗传模型分析结果显示小麦穗部相关性状都符合数量性状特征.利用单标记分析将穗部相关性状的QTL主要定位于小麦1 A染色体上,同时发现在小麦的2A、5B和5D染色体上也有QTL分布.通过加密标记重点构建了1 A染色体短臂的遗传连锁图,利用复合区间作图法解析了小麦1AS染色体上的穗部相关性状的QTL效应,发现在1A染色体上存在与穗长、小穗数、小穗粒数和穗粒数相关的重要QTL各1个,解释变异度分别为14.41%、5.15%、14.84%和10.87%.本研究发现在3558-2的1 AS染色体上成簇分布着涉及穗长、小穗教、小穗粒数和穗粒数重要性状的QTL,这一结果对指导进一步研究与利用3558-2具有重要意义.     

利用置换系检测棉花第16染色体的产量、纤维品质QTLs

陆地棉(Gossypium hirsutum L.)和海岛棉(Gossypium barbadense L.)是两个栽培四倍体棉种.前者产量高、适应性广,后者纤维品质优良.置换了海岛棉一对染色体的陆地棉置换系是研究海陆杂种此对染色体上基因互作的优异材料.在对第16染色体的置换系(简称Sub 16)进行遗传评价的基础上,利用(TM-1×Sub 16)F2∶3家系对位于第16染色体上的重要农艺性状进行遗传分析,发现第16染色体上有铃重、衣分、衣指、纤维长度、第一果枝节位的QTLs 各2个,纤维伸长率、开花天数的QTL各 1个,没有检测到子指、纤维强度、麦克隆值的QTL.在构建第16染色体的RAPD、SSR分子标记连锁图基础上,利用分子标记对相应重要农艺性状进行区间作图,检测到铃重、开花天数、纤维长度、纤维伸长率的QTL各1个,在F2∶3株系群体中能解释的表型变异分别为15.2%、12.1%、19.7%和11.7%;检测到2个衣指QTLs,在F2∶3株系群体中能解释的表型变异分别为11.6%和41.9%;检测到3个衣分QTLs,在F2∶3株系群体中能解释的表型变异分别为8.7%、9.6%和29.2%.单标记检测到铃重、开花天数的QTL各1个,在F2∶3株系群体中能解释的表型变异分别为1.60%和4.63%.证明了第16染色体与铃重、衣分、衣指、纤维长度、纤维伸长率、开花天数等性状的关系.     

黄瓜RIL群体瓜长和把长的QTL定位分析

以黄瓜野生变种‘PI183967’(Cucumis sativus L.hardwickii)和新泰密刺选系‘931’为亲本,通过单粒传法获得包含160个株系的F9代重组自交系群体(RIL)。结合分子遗传图谱和不同年份(2012年春、秋季和2013年春、秋季)的表型调查数据,利用MapQTL4.0软件进行黄瓜瓜长和把长的QTL定位。结果显示:(1)共检测到8个与瓜长和把长相关的QTLs,分布在染色体3、4、5、6、7上,LOD值在2.78~10.24之间,可解释7.4%~32.7%的表型变异率,贡献率≥10.0%的QTL位点4个,占QTLs总数的1/2,在春秋两季重复检测出的QTL位点有4个。(2)检测到4个与瓜长相关的QTLs位点Fl3.1、Fl4.1、Fl5.1、Fl6.1,4个与把长相关的QTLs位点Fsl3.1、Fsl3.2、Fsl5.1、Fsl6.1。(3)Fl6.1和Fsl6.1在2012、2013年春秋季中均可检测到,位于第6号染色体的109.2cM处,标记SSR17591~C80之间;Fl6.1在4次中的贡献率在13.8%~32.7%之间,Fsl6.1在4次中贡献率为12.1%~24.1%;(4)Fl3.1和Fsl3.2位于第6号染色体标记SSR16152~SSR07706之间,其中Fl3.1在2012年秋季和2013年春秋两季中均可检测到,贡献率总共为25.1%,Fsl3.2仅在2012年秋季中检测到,解释8.8%的表型变异率。研究表明,第6号染色体上标记SSR17591~C80和第3号染色体上的SSR16152~SSR07706等2个区域聚集了控制瓜长和把长的主效QTL位点,这2个区域应作为今后研究的重点。     

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。     

滇南亚高山巨桉种源/家系变异及早期选择研究

为筛选滇南亚高山的巨桉(Eucalyptus grandis)优良品系,对53月生的巨桉11种源173家系的生长性状进行分析。结果表明,所有生长性状在种源和家系间均呈极显著差异;胸径、树高、单株材积、干形、分枝和冠幅的表型和遗传变异系数分别为26.90%~28.84%、23.84%~25.28%、62.34~67.55、13.04%~25.62%、13.04%~25.41%和35.07~39.93,各性状种源遗传力为0.94~0.96,家系遗传力为0.88~0.95。相关分析表明,胸径与树高、单株材积、干形和冠幅呈极显著正相关,树高与其他性状均呈极显著正相关关系,干形与分枝的相关系数为0.70,冠幅与干形和分枝均呈负相关关系(r2=-0.03)。单株材积的遗传增益始终最大,以5%为入选率时,遗传增益高达66.11%;入选率不同,胸径与树高、干形与分枝的遗传增益的变化趋势基本相同,但不同性状的遗传增益值的排序发生变化。以10%为入选率,经综合指数选择有17个家系入选,均来自1号(昆士兰Copperlode)、4号(昆士兰Koombooloomba)、6号(昆士兰Copperlode Falls Dam)、7号(昆士兰Bambaroo)、9号(福建天马东溪)和11号(四川乐山)种源,2号(昆士兰Ravenshoe)和8号(昆士兰Tully Gorge National Park)种源表现最差,排前6名的家系为289号、283号、2号、42号、121号和82号,也分别分布在入选种源中,说明入选家系不仅生长优良而且遗传多样性比较丰富。     

Detection and stability of quantitative trait loci (QTL) in Eucalyptus globulus

Eucalyptus globulus Labill. ssp. globulus is an important tree species for the pulp and paper industry, and several breeding programmes throughout the world are striving to improve key traits such as growth and wood density. This study aimed to detect quantitative trait loci (QTL) for growth, wood density, relative bark thickness and early flowering in a single full-sib E. globulus family grown across seven sites. Growth was measured a number of times over a 6-year period, enabling temporal stability of growth QTL to be studied. Ten putative QTL (LOD > 2.0) were detected in the single family, which was of moderate size. Based on permutations of the trait data, six of these QTL were significant at the experimentwise significance level of 0.1 for at least one of the four models implemented in analysis to remove site effects. For wood density, two putative QTL explained 20% of the variance for the trait, indicating that a small number of QTL might explain a reasonable proportion of the trait variance. One of these QTL was found to be independent of QTL for growth whereas the second QTL co-segregated with a QTL for relative incremental growth. The marker nearest to this QTL was associated with fast growth but low wood density. A putative growth QTL at year 6 was found to be relatively stable across ages. In addition, it was found that residuals from models based on measurements from across all families across all sites in the trial detected QTL with greater experimentwise significance.     

Mapping QTLs for root traits under different nitrate levels at the seedling stage in maize (Zea mays L.)

Nitrogen (N) loss is a worldwide problem in crop production. Apart from reasonable N fertilizer application, breeding N efficient cultivars provides an alternative way. Root architecture is an important factor determining N acquisition. However, little is known about the molecular genetic basis for root growth in relation to N supply. In the present study, an F₈ maize (Zea may L.) recombinant inbred (RI) population consisting of 94 lines was used to identify the QTLs for root traits under different nitrate levels. The lateral root length (LRL), axial root length (ARL), maximal axial root length (MARL), axial root number (ARN) and average axial root length (AARL) were evaluated under low N (LN) and high N (HN) conditions in a hydroponics system. A total of 17 QTLs were detected among which 14 loci are located on the same chromosome region as published QTLs for root traits. A major QTL on chromosome 1 (between bnlg1025 and umc2029) for the AARL under LN could explain 43.7% of the phenotypic variation. This QTL co-localizes with previously reported QTLs that associate with root traits, grain yield, and N uptake. Our results indicate that longer axial roots are important for efficient N acquisition and the major QTL for AARL may be used as a marker in breeding N efficient maize genotypes.     

Partial characterization of the trait for enhanced K+−Na+ discrimination in the D genome of wheat

The long arm of chromosome 4D of wheat (Triticum aestivum L.) contains a gene (or genes) which influences the ability of wheat plants to discriminate between Na⁺ and K⁺. This discrimination most obviously affects transport from the roots to the shoots, in which less Na⁺ and more K⁺ accumulate in those plants which contain the long arm of chromosome 4D. Concentrations of Na⁺ and K⁺ in the roots, and Cl⁻ concentrations in the roots and shoots, are not significantly affected by this trait, but Na⁺, K⁺ and Cl⁻ contents of the grain are reduced. The trait operates over a wide range of salinities and appears to be constitutive. At the moment it is not possible to determine accurately the effect of this trait on growth or grain yield because the aneuploid lines which are available are much less vigorous and less fertile than their euploid parents.     

质量性状和数量性状含义的辨析

植物或动物的性状一般分为质量性状和数量性状,而实际上,许多性状并不是绝对的质量性状或数量性状,而是同时受到一个或少数几个主基因和或数量性状多基因的控制.因此,在遗传学教学中,有必要对此类性状进行分析.为加深学生对此类性状的遗传及这两个概念的理解,通过性状次数分布图分析,结合最新的遗传学研究成果,对之进行了分析和讨论.     

Genome-scan analysis for quantitative trait loci in an F<Subscript>2</Subscript> tilapia hybrid

We searched for genetic linkage between DNA markers and quantitative trait loci (QTLs) for innate immunity, response to stress, biochemical parameters of blood, and fish size in an F₂ population derived from an interspecific tilapia hybrid ( Oreochromis mossambicus × O. aureus). A family of 114 fish was scanned for 40 polymorphic microsatellite DNA markers and two polymorphic genes, covering ~80% of the tilapia genome. These fish had previously been phenotyped for seven immune-response traits and six blood parameters. Critical values for significance were P <0.05 with the false discovery rate (FDR) controlled at 40%. The genome-scan analysis resulted in 35 significant marker-trait associations, involving 26 markers in 16 linkage groups. In a second experiment, nine markers were re-sampled in a second family of 79 fish of the same species hybrid. Seven markers ( GM180, GM553 , MHC-I , UNH848 , UNH868 , UNH898 and UNH925) in five linkage groups (LG 1, 3, 4, 22 and 23) were associated with stress response traits. An additional six markers ( GM47, GM552 , UNH208 , UNH881 , UNH952 , UNH998) in five linkage groups (LG 4, 16, 19, 20 and 23) were verified for their associations with immune response traits, by linkage to several different traits. The portion of variance explained by each QTL was 11% on average, with a maximum of 29%. The average additive effect of QTLs was 0.2 standard deviation units of stress response traits and fish size, with a maximum of 0.33. In three linkage groups (LG 1, 3 and 23) markers were associated with stress response, body weight and sex determination, confirming the location of QTLs reported by several other studies.Communicated by G. Reuter     

Genetic analysis of tolerance to low-phosphorus stress in maize using restriction fragment length polymorphisms

Summary An understanding of the genetic nature underlying tolerance to low-phosphorus (low-P) stress could aid in the efficient development of tolerant plant strains. The objective of this study was to identify the number of loci in a maize (Zea mays L.) population segregating for tolerance to low-P stress, their approximate location, and the magnitude of their effect.Seventy-seven restriction fragment length polymorphisms (RFLPs) were identified and scored in a maize F₂ population derived from a cross between line NY821 and line H99. The F₂ individuals were self-pollinated to produce F₃ families. Ninety F₃ families were grown in a sand-alumina system, which simulated diffusion-limited, low-P soil conditions. The F₃ families were evaluated for vegetative growth in a controlled-environment experiment. To identify quantitative trait loci (QTLs) underlying tolerance to low-P stress, the mean phenotypic performances of the F₃ families were contrasted based on genotypic classification at each of 77 RFLP marker loci.Six RFLP marker loci were significantly associated with performance under low-P stress (P<0.01). One marker locus accounted for 25% of the total phenotypic variation. Additive gene action was predominant for all of the QTLs identified. Significant marker loci were located on four separate chromosomes representing five unlinked genomic regions. Two marker loci were associated with an additive by additive epistatic interaction. A multiple regression model including three marker loci and the significant epistatic interaction accounted for 46% of the total phenotypic variation. Heterozygosity per se was not predictive of phenotypic performance.     

水稻蒸煮品质相关QTL定位及候选基因分析

挖掘与稻米蒸煮品质相关的数量性状基因座(quantitative trait locus, QTL)，分析候选基因，并通过遗传育种手段改良稻米蒸煮品质相关性状，可有效提升稻米的口感。以籼稻华占(Huazhan, HZ)、粳稻热研2号(Nekken2)及由其构建的120个重组自交系(recombinant inbred lines, RILs)群体为实验材料，测定成熟期稻米的糊化温度(gelatinization temperature, GT)、胶稠度(gel consistency, GC)和直链淀粉含量(amylose content, AC)。结合高密度分子遗传图谱进行QTL定位，共检测到26个与稻米蒸煮品质相关的QTLs (糊化温度相关位点1个、胶稠度相关位点13个、直链淀粉含量相关位点12个)，其中最高奇数的可能性(likelihood of odd, LOD)值达30.24。通过实时荧光定量PCR (quantitative real-time polymerase chain reaction, qRT-PCR)分析定位区间内候选基因的表达量，发现6个基因在双亲间的表达量差异显著，推测LOC_Os04g20270和LOC_Os11g40100的高表达可能会极大地提高稻米的胶稠度，而LOC_Os01g04920和LOC_Os02g17500的高表达以及LOC_Os03g02650和LOC_Os05g25840的低表达有助于降低直链淀粉含量。这些结果为培育优质水稻新品种奠定了分子基础，并为揭示稻米蒸煮品质的分子调控机制提供了重要的遗传资源。     

高寒草甸种间性状差异和物种均匀度对物种多样性与功能多样性关系的影响

物种多样性(SD)与功能多样性(FD)之间存在多种关系,但由于生态系统功能主要由物种的功能属性决定,因而功能多样性对生态系统功能的影响大于物种多样性的影响。但在种间性状差异和物种均匀度这两个构成功能多样性的基本成分中,何者对功能多样性影响更大,并进而决定SD-FD关系尚不明确。通过在高寒矮嵩草(Kobresia humilis)草甸为期6a的刈割(留茬1 cm、3 cm及不刈割)和施肥(尿素7.5 g m~(-2)a~(-1)+磷酸二胺1.8 g m~(-2)a~(-1)、不施肥)控制实验,研究了种间性状差异(33个物种13个性状)和物种均匀度(所有物种)对物种多样性(所有物种)与功能多样性(33个物种13个性状)之间关系的影响。研究结果显示:(1)物种多样性与功能多样性正相关,它们与多性状种间差异负相关,而与物种均匀度正相关。物种均匀度是导致功能多样性变化的主要因素,也是导致SD-FD正相关的原因,这是因为随着物种多样性增加,物种均匀度的增加程度大于多性状种间差异的减少程度,因而功能多样性增加,SD-FD正相关;(2)功能多样性指数(FD_(Rao)和FDis)随物种多样性指数(H')减速递增,表明群落存在一定的功能冗余,且功能冗余随物种多样性的增大而增大,但尚未达到产生SD-FD无相关性的极限H'值;(3)功能多样性对高寒草甸生态系统地上净初级生产力(ANPP)的影响大于物种多样性的影响,二元线性回归显示在同时考虑二者对ANPP的影响时,可排除物种多样性的作用。但由于物种多样性下降或物种丧失引起的物种功能性状丢失或性状空间维度减小将导致功能多样性降低,表明它们之间存在一定互补性,在研究生物多样性与生态系统功能关系时,同时考虑物种多样性和功能多样性的影响仍十分必要。