油菜油分、蛋白质和硫苷含量相关性分析及QTL 定位

为定位与油分、蛋白质和硫苷含量等品质性状相关的数量性状位点(QTL), 以2个含油量较高的甘蓝型油菜(Brassica napus)品系8908B和R1为研究材料, 配置正反交组合。在正反交F₂代群体中, 含油量和蛋白质含量都存在极显著的负相关, 相关系数分别为-0.68和-0.81, 含油量和硫苷含量相关性不显著; 蛋白质含量和硫苷含量在正交群体中相关性不显著, 但在反交群体中存在显著负相关(相关系数r =-0.45)。利用正交F₂代群体中的118个单株, 构建了包含121个标记的遗传连锁图谱, 图谱长1 298.7 cM, 有21个连锁群(LGs)。采用复合区间作图法, 在连锁图上定位了2个与含油量有关的QTL, 分别位于LG8和LG10, 其贡献率分别为4.8%和13.7%, 增效基因都来源于R1; 定位了2个与蛋白质含量有关的QTL: pro1 和 pro2, 分别位于LG1和LG3, 其贡献率分别为15.2%和14.1%, 位点pro1由8908B提供增效基因, pro2则由R1提供增效基因; 定位了4个与硫苷含量有关的QTL, 其中LG20上有2个, LG4和LG8上各1个, 它们的贡献率在1.9%-25.4%之间, 除LG20上glu1的增效基因来自R1外, 其余3个QTL位点均由8908B提供增效基因。     

油菜硫苷组分含量及抑菌活性研究

对油菜不同器官硫苷的组分与含量进行分析,结果表明根系和茎中的硫苷总量显著高于叶片,根系中的硫苷以4甲-氧基-3吲-哚甲基硫苷和1-甲氧基-3吲-哚甲基硫苷为主,茎和叶中以2羟-基-3丁-烯基硫苷和苯乙基硫苷为主。油菜根系中的硫苷组分从冬前期到终花期基本保持稳定,硫苷各组分的含量在不同生育时期的变化基本一致,终花期含量最高,成熟期含量最低。19个油菜品种根系中硫苷组分与含量存在较大差异;以草莓灰霉菌为靶标物,研究油菜根系的挥发性水解产物和水溶性水解产物对土传病原真菌的抑制作用,发现不同油菜品种根系水解产物的抑菌活性与其硫苷组分与含量有关,草莓灰霉菌对丁烯基ITC非常敏感,吲哚类ITCs对草莓灰霉生长的抑制作用要低于芳香族ITCs。     

陕西省双低油菜硫苷含量的稳定性分析

采用HPLC法对陕西省冬油菜区5个试区种植的双低油菜籽粒中硫苷总量和组分含量进行了分析,结果表明: 1 陕西省不同地区的生态条件对双低油菜总硫苷含量有显著的影响,相差达13.14μmol/g,CV为13.30%,5个试区硫苷含量的排序为宝鸡>安康>咸阳>大荔>汉中,地区间达显著或极显著差异;品种间硫苷含量的稳定性有明显的差异,以P01-10品种稳定性最好; 2 在测定的8个硫苷组分中,变幅最大的5个组分依次为2-羟基-3-丁烯基硫苷、4-羟基-3吲哚甲基硫苷、4-戊烯基硫苷、3-丁烯基硫苷和2羟基-4-戊烯基硫苷,极差分别为:5.70、2.69、1.70、1.31和1.03μmol/g,变异系数分别为:17.59%、16.41%、58.84%、10.21%和50.32%,其中以3-丁烯基硫苷稳定性最好,4-戊烯基硫苷稳定性最差; 3 籽粒中硫苷与含油量、千粒重及容重均有显著的相关性,相关系数分别为-0.783、-0.948和0.656,通径和偏相关分析表明,仅硫苷与千粒重偏相关显著为-0.859,含油量和容重是通过千粒重来影响硫苷的.     

甘蓝型油菜种子硫代葡萄糖苷含量的QTL定位及候选基因鉴定

【目的】为了解析油菜种子硫代葡萄糖苷性状的重要遗传位点及候选基因,【方法】本研究利用KN DH群体在冬性环境2015-2018连续4年的种子硫苷含量表型和KN 高密度SNP遗传连锁图谱,通过Wincart 2.5软件的符合区间作图法对甘蓝型油菜种子硫代葡萄糖苷含量进行QTL定位和潜在候选基因鉴定。【结果】共鉴定到47个硫苷含量QTL,单个QTL解释表型变异最大是qGC.16YL19-4(19.44%),解释表型变异最小的是qGC.15YL12-5(1.82%)。利用元分析的方法将初步鉴定的47个QTL整合为38个consensus QTL,其中7个consensus QTL(cqGC.A9-5、cqGC.A9-7、cqGC.A9-9、cqGC.C2-9、cqGC.C2-10、cqGC.C9-5和cqGC.C9-6)为环境稳定表达QTL,包括3个硫苷含量主效QTL(cqGC.A9-5、cqGC.C2-10和cqGC.C9-5)。在主效QTLcqGC.A9-5和cqGC.C9-5鉴定到3个候选基因BnaA09g05480D,BnaC09g05620D和BnaC09g05810D,其功能主要涉及了油菜硫苷生物合成途径中吲哚-3-乙醛肟(IAOx)的合成和将2-烷基-苹果酸异构化形成3-烷基-苹果酸酯,以及硫苷的转运与分配。【结论】本研究获得了油菜种子硫苷含量3个主效QTL及3个候选基因,该结果为硫苷含量相关基因的功能机械和优质油菜品种培育提供理论依据。     

甘蓝型油菜种子发芽率QTL定位及相关生理性状

利用GH06×P174组合衍生的183个重组自交系进行种子发芽率遗传分析及种子发芽期间种子生理性状分析。用复合区间作图法对在室温下保存两年的种子(STY)、保存1年的种子(SOY)与新收获种子(FS)发芽率进行QTL定位。另外对保存两年的种子及新收获的种子萌发期间脂肪酶活性、电导率、还原糖含量、总糖含量及根系活力进行了测定, 并对结果进行分析。结果表明3批种子的发芽率QTL位点各不相同, 保存两年的种子在第9、14、17条连锁群上分别检测到1个位点, 保存1年的种子在第5、9条连锁群上各检测到1个位点, 新收获的种子在第4、18条连锁群上分别测检到1个位点。研究发现, 3批种子的发芽率相关性不显著, 发芽率差异达到极显著水平, 同时保存不同年份种子的发芽率QTL各不相同, 这表明甘蓝型油菜发芽率受很多不同因素所控制。保存两年及新收获种子的发芽率与电导率之间的相关性均达到极显著负相关, 表明可以通过电导率的测定估测发芽率, 电导率的研究对种子发芽率的研究具有重要意义。     

近红外光谱仪快速检测油菜硫苷、芥酸及油份含量数学模型的建立

近红外反射光谱技术是一种高效、快速的现代分析技术,应用过程中需要建立相应的数学模型.收集油菜籽样品600余份,采用国际(家)标准方法对芥酸、硫苷、含油率进行测试,根据各模型的要求,选择不同的具有代表性的样品,建立数学模型.内部交叉证实法对模型验证结果显示:高芥酸、低芥酸、硫苷、含油率模型复相关系数分别为0.9677、0.9318、0.9820、0.9626,内部验证均方差(RMSECV)分别为4.41、2.24、4.62、0.543.外部样品检测法分别用已建模型和国际(家)标准方法对油菜籽样品芥酸、硫苷、含油率进行检测,两者检测结果基本一致.综合内部和外部验证结果表明:建立的模型能够满足油菜籽硫甘、芥酸及油份含量快速检测的要求.另对油菜自身含水率对数学模型的影响做了初步探索.     

甘蓝型油菜千粒重性状的QTL定位分析

该研究利用油菜双单倍体株系(348份)群体和已构建的遗传连锁图谱,采用复合区间作图法,对2009~2013年连续5年的千粒重性状表型数据进行QTL初步定位和分析,结果共获得46个显著性千粒重QTL,主要分布在A7、C1和C6等11条染色体上;其中qTSW-09 DL11-1的表型变异最高(19.63%),qTSW-11 DL9的表型变异最小(2.73%)。通过元分析方法将所获得的46个QTL进行整合,结果显示:cqTSW-C1-2的表型变异最大(10.64%),并发现多个整合后的一致性QTL能够在连续多年试验中被检测到,其中cqTSW-C1-3连续5年被检测到,表明控制千粒重的QTL在种植环境中能够稳定表达;同时,新发现位于C1染色体上的千粒重主效QTL cqTSW-C1-2,解释表型变异达到10.64%。油菜千粒重性状的QTL分析和主效QTL的获得,为进一步实现油菜大籽粒的分子育种和高产新品种的培育提供了重要的理论指导。     

水稻叶绿素含量动态QTL分析

为剖析水稻不同生育时期叶绿素含量的变化动态及遗传机制,以‘Sasanishiki’（粳稻）、‘Habataki’（籼稻）及其杂交衍生的85个回交重组自交系（BILs）群体为材料,对控制水稻叶片叶绿素含量的数量性状基因位点（QTL）变化动态进行了分析。共检测到39个QTL,包括26个非条件QTL和13个条件QTL,分布在除第7和第11号染色体以外的10条染色体上,平均每个时期检测到3．25个非条件QTL。其中生育前期和生育中后期检测到的QTL位点较少,仅为1—3个;在生育中期（盛期）检测到的QTL位点相对较多,一般为4～5个。在生育期的中期和后期均能在第1和2号染色体上检测到控制叶绿素含量的QTL,并且这些QTL位点在1和2号染色体上呈现聚集现象。本研究同时发现了一些新的QTL位点,这些QTL将有助于我们更全面地了解叶绿素在不同发育时期的遗传基础。     

甘蓝型油菜千粒重性状的QTL初步定位研究

千粒重是油菜重要的产量相关性状之一,构建油菜遗传连锁图谱是研究其产量性状基因的前提。本研究利用小孢子培养技术,选育出了甘蓝型油菜大粒品系(G-42)和小粒品系(7-9)的纯合DH系DH-G-42和DH-7-9,其千粒重分别为6.24 g和2.42 g,二者比值达2.58。以DH-G-42为母本、DH-7-9为父本,构建了含190个单株的F2遗传作图群体,利用SSR和SRAP标记技术绘制遗传连锁图谱,该图谱共包含20个连锁群,涉及128个SSR标记和100个SRAP标记,图谱总长1546.6cM,标记间平均图距为6.78cM。本研究共检测到3个与千粒重性状相关的QTL,分别位于A9和C1连锁群,其中qSW-A9-1和qSW-A9-2贡献率分别达到10.98%和27.45%,均可视为控制粒重的主效QTL。本研究为后续进行油菜千粒重性状QTL的精细定位分析、分子标记辅助选择育种及新基因的克隆等奠定了基础。     

甘蓝型油菜遗传图谱的构建及单株产量构成因素的QTL分析

采用常规品系04-1139与高产多角果品系05-1054构建的F2代群体为作图群体, 运用SSR(Simple sequence repeat)和SRAP(Sequence-related amplified polymorphism)构建分子标记遗传图谱并对甘蓝型油菜单株产量构成因素进行QTL分析。遗传图谱包含200个分子标记, 分布于19个连锁群上, 总长度1 700.23 cM, 标记间的平均距离8.50 cM。采用复合区间作图法(Composite interval mapping, CIM)对单株产量构成因素(单株有效角果数、每果粒数和千粒重)进行QTL分析, 共检测到12个QTL: 其中单株有效角果数4个QTL, 分别解释表型变异为35.64%、12.96%、28.71%和34.02%; 每果粒数获得5个QTL, 分别解释表型变异为8.41%、7.87%、24.37%、8.57%和14.31%; 千粒重获得３个QTL, 分别解释表型变异为2.33%、1.81%和1.86%。结果表明: 同一性状的等位基因增效作用可以同时来自高值亲本和低值亲本; 文章中与主效QTL连锁的标记可用于油菜产量性状的分子标记辅助选择和聚合育种。     

Quantitative Trait Loci for Lipid Content in Drosophila melanogaster

Recombinant inbred lines derived from a natural population were used to investigate natural genetic variation for lipid abundance, protein abundance, and weight of Drosophila melanogaster. Females were heavier and contained more lipid and soluble protein than males. Lipid and protein abundance were genetically correlated with female weight, but male weight was not correlated with lipid or protein. Lipid and protein abundance were genetically correlated in males, but not in females. Quantitative trait loci (QTLs) for weight and protein abundance were predominantly on the X chromosome, whereas QTLs for lipid abundance were found on the second and third chromosomes. QTLs for lipid proportion (lipid abundance normalized by weight or protein abundance) were present on all chromosomes; a lipid proportion QTL on the third chromosome correlated with a QTL for starvation resistance observed in a previous study using the same set of recombinant inbred lines, suggesting that it might underlie both traits. Candidate genes are discussed in relationship to lipid abundance, lipid proportion, and starvation resistance.     

多个连锁数量性状位点的多性状最优化选择

一种扩展的方法能够在多个世代对具有多个数量性状位点的多性状选择进行最优化。这种方法的基础是在目标雨数中用综合遗传值替代单个性状遗传值,并在整个规划期内最大化所有世代选择反应的加权和。利用多阶段系统优化控制理论,整个最优化问题通过一个向前和向后的迭代循环解决。用一个实际育种猪群的育种参数来评价该方法的选择效果,并和标准QTL选择和常规BLUP选择进行比较。结果表明,优化选择要优于标准QTL选择和常规BLUP选择。经济权重对优化选择的影响较明显,随着达100kg日龄赋予的经济权重的增加,优化选择的优势越明显。优化选择通过两种方式增加总选择反应：1）选择早期减少一部分QTL选择反应;2）对达100kgH龄给予更大的权重。选择后期优化累积贴现选择比优化终端选择给予达100kgH龄更大的权重。     

微卫星标记与奶牛数量性状QTL定位

本文对奶牛产奶性能（产奶量、乳脂率、乳脂量、蛋白率、蛋白量）、乳房炎及体细胞数、繁殖性能、生产寿命等数量性状QTL定位研究进展进行了综述。 Abstract:Mapping of quantitative trait loci for some important traits (milk yield,fat percentage,fat yield,protein percentage,protein yield,clinical mastitis and somatic cell count,reproductive performance,productive life,etc.) in dairy cattle was introduced in this review.     

Genetic Identification of Quantitative Trait Loci for Contents of Mineral Nutrients in Rice Grain

In present study, Fe, Zn, Mn, Cu, Ca, Mg, P and K contents of 85 introgression lines （ILs） derived from a cross between an elite indica cultivar Teqing and the wild rice （Oryza rufipogon） were measured by inductively coupled argon plasma （ICAP） spectrometry. Substantial variation was observed for all traits and most of the mineral elements were significantly positive correlated or independent except for Fe with Cu. A total of 31 putative quantitative trait loci （QTLs） were detected for these eight mineral elements by single point analysis. Wild rice （O. rufipogon） contributed favorable alleles for most of the QTLs （26 QTLs）, and chromosomes 1,9 and 12 exhibited 14 QTLs （45%） for these traits. One major effect of QTL for zinc content accounted for the largest proportion of phenotypic variation （11%-19%） was detected near the simple sequence repeats marker RM152 on chromosome 8. The co-locations of QTLs for some mineral elements observed in this mapping population suggested the relationship was at a molecular level among these traits and could be helpful for simultaneous improvement of these traits in rice grain by marker assisted selection.     

Genetic Identification of Quantitative Trait Loci for Contents of Mineral Nutrients in Rice Grain

In present study, Fe, Zn, Mn, Cu, Ca, Mg, P and K contents of 85 Introgression linee (ILs) derived from a cross between an elite indica cultivar Teqing and the wild rice (Oryza rufipogon) were measured by inductively coupled argon plasma (ICAP) spectrometry. Substantial variation was observed for all traits and most of the mineral elements were significantly positive correlated or independent except for Fe with Cu. A total of 31 putative quantitative trait loci (QTLs) were detected for these eight mineral elements by single point analysis. Wild rice (O. rufipogon) contributed favorable alleles for most of the QTLs (26 QTLs), and chromosomes 1, 9 and 12 exhibited 14 QTLs (45%) for these traits. One major effect of QTL for zinc content accounted for the largest proportion of phenotypic variation (11%-19%) was detected near the simple sequence repeats marker RM152 on chromosome 8. The co-locations of QTLs for some mineral elements observed in this mapping population suggested the relationship was at a molecular level among these traits and could be helpful for simultaneous improvement of these traits in rice grain by marker assisted selection.     

Correlation and Quantitative Trait Loci Analyses of Total Chlorophyll Content and Photosynthetic Rate of Rice (Oryza sativa) under Water Stress and Well-watered Conditions

In order to explore the relevant molecular genetic mechanisms of photosynthetic rate (PR) and chlorophyll content (CC) in rice ( Oryza sativa L.), we conducted a series of related experiments using a population of recombinant inbred lines (Zhenshan97B × IRAT109). We found a significant correlation between CC and PR ( R = 0.19**) in well-watered conditions, but no significant correlation during water stress ( r = 0.08). We detected 13 main quantitative trait loci (QTLs) located on chromosomes 1, 2, 3, 4, 5, 6, and 10, which were associated with CC, including six QTLs located on chromosomes 1, 2, 3, 4, and 5 during water stress, and seven QTLs located on chromosomes 2, 3, 4, 6, and 10 in well-watered conditions. These QTLs explained 47.39% of phenotypic variation during water stress and 56.19% in well-watered conditions. We detected four main QTLs associated with PR; three of them ( qPR2 , qPR10 , qPR11 ) were located on chromosomes 2, 10, and 11 during water stress, and one ( qPR10 ) was located on chromosome 10 in well-watered conditions. These QTLs explained 34.37% and 18.41% of the phenotypic variation in water stress and well-watered conditions, respectively. In total, CC was largely controlled by main QTLs, and PR was mainly controlled by epistatic QTL pairs.     

Linkage Map Construction and Quantitative Trait Loci Analysis for Bolting Based on a Double Haploid Population of Brassica rapa

Early bolting of Chinese cabbage （Brassica rapa L.） during spring cultivation often has detrimental effects on the yield and quality of the harvested products. Breeding late bolting varieties is a major objective of Chinese cabbage breeding programs. In order to analyze the genetic basis of bolting traits, a genetic map of B. rapa was constructed based on amplified fragment-length poiymorphism （AFLP）, sequence-related amplified poiymorphism （SRAP）, simple sequence repeat （SSR）, random amplification of polymorphic DNA （RAPD）, and isozyme markers. Marker analysis was carried out on 81 double haploid （DH） lines obtained by microspore culture from F1 progeny of two homozygous parents： B. rapa L. ssp. pekinensis （BY） （an extra-early bolting Chinese cabbage line） and B. rapa L. ssp. rapifera （MM） （an extra-late bolting European turnip line）. A total of 326 markers including 130 AFLPs, 123 SRAPs, 16 SSRs, 43 RAPDs and 14 isozymes were used to construct a linkage map with 10 linkage groups covering 882 cM with an average distance of 2.71 cM between loci. The bolting trait of each DH line was evaluated by the bolting index under controlled conditions. Quantitative trait loci （QTL） analysis was conducted using multiple QTL model mapping with MapQTL5.0 software. Eight QTLs controlling bolting resistance were identified. These QTLs, accounting for 14.1% to 25.2% of the phenotypic variation with positive additive effects, were distributed into three linkage groups. These results provide useful information for molecular marker-assisted selection of late bolting traits in Chinese cabbage breeding programs.