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水稻重要农艺性状一般由少数主效QTL和大量微效QTL共同控制。水稻主效QTL克隆已取得显著进展,而微效QTL由于遗传作用弱,表型鉴定易受测量误差影响,克隆进展缓慢,但微效QTL在水稻重要农艺性状调控中的作用不容忽视。本文介绍了一种水稻微效QTL精细定位和克隆的新途径。该途径包含2个阶段：1）应用剩余杂合体构建近等基因系群体进行目标QTL的精细定位;2）应用基因编辑技术创制候选基因突变体验证基因功能。应用该策略笔者所在团队在水稻第1染色体长臂精细定位了6个微效粒重和粒型QTL,并成功克隆首个微效粒重QTL。该技术可在方法上为水稻QTL克隆及新种质创制提供更多选择。 相似文献
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水稻主茎总叶数及其相关性状的QTL分析 总被引：9，自引：1，他引：9
用一张具有182个RFLP标记的分子连锁图谱和一套重组自交系(RIL)群体，对水稻植株主茎总叶片数、叶片生长速率、抽穗期和株高等数量性状进行QTL区间作图研究，定位了影响水稻出叶速率的8个QTL，主茎总叶片数的2个QTL、抽穗期的3个QTL和株高的4个QTL。对这些QTL的遗传效应分析并结合先前用同组合材料研究结果，为进一步明确一些QTL的基因功能提供了有用的信息。如控制水稻主茎总叶片数的一个主效QTL，即QLn3，它同时影响分蘖期出叶速率、抽穗期及株高等数量性状。该位点来自特青的等位基因，其加性效应可使水稻在温室冬季短日条件下主茎总叶片数增加1.5叶左右，抽穗期延迟9 d，同时具有使分蘖期出叶速率降低0.2叶/10 d的效应。由于该QTL位点的基因不受光照长度的影响，说明它们有可能是由一个影响水稻基本营养生长期的基因控制或者这些基因紧密连锁；而另一个QTL（QHd8）位点的基因对主茎总叶数、抽穗期和株高的效应似乎受光照长度的影响较大。 相似文献
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多环境下粳稻产量及其相关性状的条件和非条件QTL定位 总被引：1，自引：0，他引：1
为了剖析粳稻产量及其相关性状的遗传基础,利用粳稻品种秀水79×Ｃ堡衍生的重组自交系群体,在3个环境下对全生育期、株高、单株穗数、每穗粒数、百粒重、籽粒产量和生物产量进行了非条件和条件QTL定位。共检测到43个主效QTL和29对上位性QTL。利用非条件QTL定位方法检测到37个主效QTL和26对上位性QTL。其中,籽粒产量定位到3个主效QTL qGY1.2、qGY7.1和qGY9,未检测到上位性QTL。利用条件QTL方法分别将全生育期、株高、穗数、每穗粒数、百粒重和生物产量各自调整到同一水平后,籽粒产量共检测到9个主效条件QTL和3对上位性QTL,其中3个主效QTL与非条件下定位到的相同。位于第9染色体长臂区间RM6570-RM5652的qGY9在非条件及全生育期、株高、穗数、粒数和百粒重调整到同一水平后均可检测到,但加性效应、贡献率并不相同,显示该区间来自C堡的片段能够增加株高、穗数和百粒重从而增加产量。通过条件方法在第3染色体长臂区间RM7097-RM448及第6染色体长臂区间RM162-RM5753上定位到的产量QTL增加籽粒产量的等位基因可以降低株高,缩短生育期。 相似文献
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水稻抽穗期基因的精细定位、克隆和生物学功能分析 总被引：10，自引：1，他引：9
介绍了水稻抽穗期QTL研究的进展,在相同亲本日本晴/Kasalath衍生的不同类型的多个群体中,共检测到15个QTL;应用高世代回交后代,精细定位了其中8个QTL;将在初步定位时同一区间检测到的1个控制种子休眠期QTL(Sdr1)和1个抽穗期QTL (Hd8),分解为两个紧密连锁的基因;将经过精细定位表明可能具有双重功能的单个孟德尔因子Hd3,分解为两个功能不同的紧密连锁的基因Hd3a和Hd3b;根据QTL近等基因系的光周期反应以及这些座位间上位性互作的研究,明确了其中6个QTL的生物学功能;应用图位法克隆了其中3个QTL,研究了它们的表达和调控,并与拟南芥的同源基因进行比较。为水稻其他数量性状以及其他作物数量性状的遗传学研究,提供了一个范例。 相似文献
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《中国水稻科学》2016,(1)
以中嘉早17/D50F_2和F_(2∶3)群体为材料,考查各群体株系产量相关农艺性状,同时构建其遗传连锁图谱,最后定位到与产量性状相关的66个QTL,其贡献率变幅为0.08%~20.45%,分布于除第9染色体外的其他各染色体上。两个群体在第3、7、10染色体某区段同时定位到多个与产量性状相关的QTL,这些QTL的加性效应来自中嘉早17。在定位到的66个QTL中,F_2和F_(2∶3)群体均检测到,且贡献率较大的QTL qPH-10(株高)、qFLW-4(剑叶宽)、qTGW-2(千粒重)加性效应均来自中嘉早17。初步检测到超级稻品种中嘉早17携带多个高产QTL,为今后将中嘉早17的优良基因导入其他水稻品种进而培育产量更高、综合性状更优良的超级稻新品种提供理论和技术支持。 相似文献
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籼稻C84和粳稻春江16B重组自交系遗传图谱构建及籽粒性状QTL定位与验证 总被引：3，自引：0，他引：3
【目的】本研究旨在挖掘水稻粒型新基因、探索其分子机理,解析籽粒发育调控遗传网络奠定基础,并为通过分子标记聚合有利基因开展超级稻分子设计育种提供理论依据。【方法】以植株和籽粒形态差异较大的晚粳稻品种春江16B(CJ16B）和广亲和中籼稻背景恢复系C84为亲本构建含有188个家系的重组自交系为作图群体,利用158对在双亲中存在多态性差异的分子标记,构建了遗传连锁图谱,总遗传距离为1428.40cM,平均标记间距为9.04cM。在构建遗传图谱的基础上,完成RIL188个株系籽粒的粒长、粒宽、粒厚、长宽比和千粒重等5个性状考查并进行QTL定位。【结果】在海南陵水和浙江杭州两地共检测到籽粒相关主效QTL30个,包括籽粒QTL新座位18个,解释遗传变异3.51%~17.25%。其中粒长、粒宽、粒厚和长宽比QTL位点分别为9个、5个、5个和6个,千粒重QTL位点5个。经基因座位比对,发现有5个QTL区间与已克隆的调控籽粒形态相关基因座位相近,我们通过对双亲目标基因的测序并根据差异位点设计dCAPs分子标记进行验证。【结论】该RIL群体及其遗传图谱可用于水稻重要农艺性状主效QTL基因的定位和克隆,新定位的18个粒型QTL可以为水稻籽粒发育调控网络提供补充和资料积累。 相似文献
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芥蓝的丰产性状是育种的重要目标性状,由于控制芥蓝的产量性状均为数量性状,常规育种进展缓慢,基因定位及分子标记辅助育种可提高选择效率。本研究利用2个产量差异大的芥蓝自交不亲和系冬强♀（产量高）与Lb07M（产量低）为亲本,构建F2分离群体,F2自交获得F2 ∶ 3家系,对产量性状进行了QTL定位分析。对F2 ∶ 3家系中单株重、单薹重、株高、薹高、叶长、叶宽、薹粗进行了调查,利用已构建首张芥蓝变种内的SSR和SRAP遗传图谱,结合田间性状调查数据,用QTLNetwork2.0软件通过混合线性复合区间作图法（MCIM）对7个产量性状进行了QTL分析。在10个连锁群中共定位了8个QTL位点,其中控制单薹重、单株重、株高、叶宽的QTL各1个,分别解释表型变异的18.4％,17.8％,19.1％,15.1％;控制主薹高和叶长的QTL各为2个,共解释表型变异的23.8％、22.1％。芥蓝产量性状的QTL定位结果可为分子标记辅助选择高产品种提供参考。 相似文献
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水稻第6染色体短臂株高及产量性状QTL的分解 总被引：1，自引：1，他引：0
针对第6染色体短臂上一个对产量性状遗传具有重要作用的区间RM587-RM19715,从珍汕97B/密阳46重组自交系群体中筛选到1个剩余杂合体,自交衍生获得一个由195个个体组成的F2群体,检测控制株高和产量性状的QTL。经分析,在目标区间的上部和下部分别检测到1个QTL簇,分别对除单株穗数以外的产量性状因子具显著作用,单个QTL对群体性状表型变异的贡献率为5.0%~55.5%。将第6染色体上的产量性状QTL分解到更小的区间中,为产量性状QTL的精细定位和克隆打下了基础。 相似文献
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【Objective】Dongxiang wild rice (Oryza rufipogon Griff.) has strong low nitrogen tolerance and is an important germplasm for low nitrogen tolerance improvement. Identification of genes responsible for low nitrogen tolerance in Dongxiang wild rice is of great importance to understand molecular mechanisms of low nitrogen tolerance and develop rice varieties with low nitrogen tolerance. 【Method】Quantitative trait loci (QTLs) for plant height and yield traits under low and normal nitrogen conditions was identified using backcrossing recombinant inbred lines (BC1F12) derived from an interspecific cross Xieqingzao B // Dongxiang wild rice/Xieqingzao B and its genetic linkage. 【Result】A total of 57 QTLs were detected in 33 regions on all chromosome, except chromosome 4 and 8. They explained individually 3.17%~63.40% phenotypic variation, and 32 QTLs of them had favorable alleles derived from Dongxiang wild rice. Nineteen QTLs were simultaneously detected under both nitrogen treatments, and 38 QTLs were only identified under single nitrogen treatment, suggesting various genetic mechanisms in rice growth and yield formation under low and normal nitrogen conditions. 【Conclusion】Fourteen QTL clusters, 43 QTLs included, scattered on seven chromosomes, indicating the common genetic-physiological mechanisms behind different traits, and the QTL pyramiding for low nitrogen tolerance can be achieved by molecular marker-assisted selection. 相似文献
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Percent milling yield is an economically important trait of commercial rice because it largely determines the price that farmers receive for their crop. Analyzing 22 trait variables including milling yield, grain dimensions, chemistry and appearance, we identified 43 quantitative trait loci (QTLs) in a long grain japonica by long grain japonica cross. We report one QTL explaining 20% of the variation in brown rice recovery; two QTLs explaining 14% and 13% of the variation in milled rice recovery; and one QTL explaining 14% of the variation in head rice (HR) recovery. QTLs for the proportion of pre-broken brown rice kernels, seed density, amylose content, and kernel whiteness and chalkiness were found in the same region as the HR QTL. QTLs explaining up to 54% of the variation in grain shape measurements were identified and mapped to areas independent from those identified for milling yield. Analyses of grain appearance traits identified two QTLs for chalk in brown rice and one in head rice, and a QTL explaining up to 33% of the variance in green kernel area. Our results confirm previous findings on the multigenically complex nature of milling yield. 相似文献
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用培矮64S/日本晴F2群体对水稻6个农艺性状的QTL定位 总被引：1，自引：0，他引：1
用水稻测序品种培矮64S和日本晴配组建立了由180个单株组成的F2群体，构建了含137个SSR标记的连锁遗传图谱，对水稻的分蘖数、有效分蘖数、分蘖率、株高、剑叶长和穗长等6个相关农艺性状进行了QTL定位分析。共检测到14个QTL，分布在第1、2、4、5、6、7染色体的11个区间。检测到1个控制株高的主效QTL(qPH1 2),位于第1染色体，其表型贡献率为24.0%；1个控制剑叶长的主效QTL(qFL4）,位于第4染色体，其表型贡献率为30.5%。对所定位QTL的价值、QTL在染色体上的区域分布等进行了探讨。 相似文献
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Further improvement of rice productivity remains a challenge. Breeding is perceived as an important option to increase rice yield. However, the genetic progress of grain yield in most rice breeding programs was slow in the last decades. Although great progress in rice genomics and molecular biology has been achieved, the effect of such technological innovations on rice breeding is far small. Marker-assisted selection （MAS） for a few target quantitative trait loci （QTLs） has significant effects in improving qualitative traits, such as disease resistance. The success of MAS has therefore motivated breeders to identify and use major QTLs for yield and yield component traits. In this review, we summarized the recent methods in QTL identification, including novel statistical methods for linkage and association mapping, special population types, and whole-genome sequencing. We reviewed the successful application of marker-assisted gene introgression and gene pyramiding to improve grain yield and discussed the design of efficient MAS schemes to further increase the success rate of breeding programs. The use of well-characterized major QTLs through introgression and gene pyramiding is proven effective in improving grain yield, particularly yield under abiotic stress. Major QTLs that are stable across genetic background and growing environments are often found in less adapted germplasms, such as landraces and wild relatives. Advanced backcross QTL analysis and introgression lines, which integrate QTL discovery and utilization, are important methods for exploiting major QTLs contained in such germplasms. Next-generation sequencing substantially increases mapping resolution and accelerates the identification of casual genes underlying major QTLs. Practical guidelines derived from theoretical and empirical studies are given to guide the design of efficient marker-assisted gene introgression and pyramiding schemes. 相似文献
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《Plant Production Science》2013,16(3):309-318
AbstractAppropriate plant height, tiller number and heading date are important traits for maximizing rice production. In order to understand the genetic basis of the relationships among these three plant traits, we mapped quantitative trait loci (QTLs) using a recombinant inbred population and detected two-locus interactions for plant height and tiller number at two growth stages and for heading date in two years. There were significant negative correlations between tiller number and plant height, and between tiller number at maturity and heading date. A significant positive correlation was observed between heading date and plant height at maturity. A total of 29 QTLs for the three traits were identified over the two years. Results show that QTLs and majority of two-locus interactions for plant height and tiller numbers at 35 days after transplanting were different from those at maturity, indicating that different genes and interactions control the traits at different developmental stages. A large proportion of QTLs and interactions could only be detected in one year, suggesting that QTLs and two-locus interactions for the traits were dependent on the environment. Results suggest that pleiotropy and/or close linkage of genomic regions and pleiotropy of common two-locus combinations may be the genetic basis for the close correlations among the three traits. A QTL with a large effect for heading date, which was located in RG424-RZ667 on chromosome 6, also showed large effects on tiller number and plant height at maturity. 相似文献
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为阐明粳稻株高动态发育遗传基础,在南京和泗洪3个环境下种植粳稻品种秀水79和C堡及其杂交衍生的254个重组自交家系,利用混合线性模型和最佳线性无偏预测方法对3个环境下不同时期株高变异的各效应值进行估计,进而利用非条件和条件QTL定位的方法对控制株高性状的静态位点和动态位点进行了检测。结果表明,3个环境中RIL群体各期株高均呈正态分布并出现双向超亲分离。株高受环境的影响随发育进程而不断减小。成熟期检测到5个QTL,其中qPH8.3仅在该时期检测到。采用非条件定位的方法共检测到15个非条件加性QTL。不同时期检测到的同一加性位点,增效等位基因来自于同一亲本,加性效应的大小随着发育进程而增大。条件定位的方法共检测到16个条件加性QTL和16个互作位点对,6个加性QTL在不同的两个时间段检测到,其余位点（位点对）均在单个时期检测到。从播种至移栽后42 d、移栽后56 d至70 d以及移栽后98 d至112 d这3个时间段,株高性状以加性遗传效应为主;移栽后42 d至56 d以及移栽后70 d至84 d这两个时间段受加性效应和上位性效应共同控制;而移栽后84 d至98 d则以上位性遗传效应为主。G×E互作遗传效应在整个调查时期均很小。多环境条件下两种定位方法的结合有助于更全面地了解株高在不同发育时期的遗传基础。 相似文献
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Si Fengfeng Fan Fengfeng Wei Xiao He Shihao Li Xianlong Peng Xiaojue Li Shaoqing 《水稻科学》2022,29(6):569-576
Photosynthetic efficiency, a key trait that determines yield potential in rice, is quantitatively regulated by multiple genes. Utilization of valuable genetic resources hidden in wild rice is an effective way to improve rice photosynthesis and yield potential. In this study, 152 backcross inbred lines derived from wild rice Oryza longistaminata were explored for QTL mapping of photosynthetic rate (Pn) and biomass (BM) in natural fields. Five novel QTLs for Pn and seven QTLs for BM or daily biomass (DBM) derived from O. longistaminata were identified. One of these QTLs, qPn8.1, could significantly improve Pn and was located in a 68-kb region containing only 11 candidate genes. Meanwhile, qBM1.1 and qDBM1.1 for BM and DBM on chromosome 1 were overlapped with qPn1.1 for Pn from 9311, and could affect both Pn and BM in natural fields. These QTLs identified in O. longistaminata may provide a novel alternative to explore new genes and resources for yield potentiality, highlighting the important role of wild rice in rice breeding programs. 相似文献
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Jun-ichi Yonemaru Toshio Yamamoto Shuichi Fukuoka Yusaku Uga Kiyosumi Hori Masahiro Yano 《Rice》2010,3(2-3):194-203
Over the past two decades, genetic dissection of complex phenotypes of economic and biological interest has revealed the chromosomal locations of many quantitative trait loci (QTLs) in rice and their contributions to phenotypic variation. Mapping resolution has varied considerably among QTL studies owing to differences in population size and number of DNA markers used. Additionally, the same QTLs have often been reported with different locus designations. This situation has made it difficult to determine allelic relationships among QTLs and to compare their positions. To facilitate reliable comparisons of rice QTLs, we extracted QTL information from published research papers and constructed a database of 1,051 representative QTLs, which we classified into 21 trait categories. This database (QTL Annotation Rice Online database; Q-TARO, http://qtaro.abr.affrc.go.jp/) consists of two web interfaces. One interface is a table containing information on the mapping of each QTL and its genetic parameters. The other interface is a genome viewer for viewing genomic locations of the QTLs. Q-TARO clearly displays the co-localization of QTLs and distribution of QTL clusters on the rice genome. 相似文献