花生根部性状的遗传分析

利用花生RIL群体,分析了11个花生根部性状的遗传力,估算基因对数及性状间的相互关系,根据偏度系数(g1)和峰度系数(g2)估算控制性状的基因互作情况。结果表明:11个性状都是受多基因控制的数量性状,在RIL群体中基因型间的差异均表现为连续变异和明显的超亲分离。侧根干重的遗传力最高达0.60,其次是侧根鲜重,为0.58,而其他性状的遗传力均较低。控制主根长性状的多基因间存在互作,互作方式为重叠作用;控制主根粗(3cm)性状的基因间也存在一定的重叠作用,但是作用不明显;控制其他性状的基因都存在互作,表现为互补作用,但互补作用的强弱有差异。主根粗(1cm)、主根粗(3cm)、主根干重、主根鲜重、侧根干重和侧根鲜重之间都显著或极显著相关;根体积与主根粗(1cm)、主根粗(3cm)、侧根干重和侧根鲜重显著或极显著相关。     

甘蓝型油菜主要农艺性状的遗传模型和基因效应分析

本文以甘蓝型优质油菜(81008×Tower)正反交各12个世代的资料,按照4种不同的遗传模型,对包括单株产量在内的8个农艺性状的遗传方式进行了详尽地分析。结果表明:所有性状的遗传皆不符合简单的加性-显性模型,上位性效应普遍存在,且对世代平均数有较大影响;单株产量及几个产量性状的遗传均受重复型互作基因的控制,杂种优势需利用三基因或多基因间的互作效应。     

花生重组近交系(RIL)根部性状的遗传分析

利用花生R IL群体,分析了主根长、侧根数、根基粗(1 cm和3 cm处)、根体积、主根鲜重、干重、侧根鲜重和干重、主侧根瘤数等11个花生根部性状的遗传力,估算基因对数及性状间的相互关系,根据偏度系数(g1)和峰度系数(g2)的估算控制性状基因互作情况。结果表明:在11个研究性状中,有6个性状在2个亲本间差异显著或极显著。但不论性状在亲本间的差异显著与否,在R IL群体中基因型间的性状差异均表现为连续变异和明显的超亲分离。同时主根粗(1 cm)和主根长的变异系数较小,分别为11.27%和11.218%。11个花生根部性状都是受多基因控制的数量性状,如影响侧根根瘤数、侧根鲜重和侧根干重的基因均在10对左右;而其它性状的基因估计在5~7对左右,尤其是控制侧根数的基因最少为5对左右。而在R IL群体中,除侧根干重的遗传力最高,达0.569,其次是侧根根瘤和侧根数分别达0.545和0.542外,其它性状的遗传力均较低。同时控制主根长和主根粗(1 cm)的基因间存在重叠作用;而控制侧根根瘤、侧根鲜重和侧根干重基因间存在互作,表现为互补作用;控制其它性状的基因间互补或重叠作用不明显或者不存在。主根干重和侧根干重与根体积、主根粗(1 cm)和主根粗(3 cm)显著相关,根体积与主根粗(3 cm)极显著相关,主根鲜重和侧根鲜重与根体积的相关表现不一致。     

利用水稻重组自交系群体对一些重要农艺性状进行基因定位和互作分析

对水稻（OryzasativaL．）籼（indica）、粳（Japonica）交（窄叶青8号×京系17）通过一粒传获得了一个自交9代的重组自交系（RIL）群体,该群体含有107个稳定纯合的株系,通过构建分子连锁图谱,对水稻播抽期、株高、每穗颖花数、每穗实粒数、200粒重和结实率进行数量性状基因座位（QTL）分析,定位了影响播抽期的2个QTLs、株高的2个QTLs、每穗颖花数的2个QTLs和每穗实粒数的1个QTL。其中,控制播抽期的1个QTL即qHD－8为主效基因,控制株高的1个QTL即qPH－1为主效基因,其余为微效基因。同时分析了影响水稻生产力的数量性状基因座位间的互作。结果表明,影响播抽期、株高、每穗颖花数、每穗实粒数和结实率的互适型互作共有24个,对性状有6．2％～10．9％的贡献率。     

纯系间数量性状主基因差异的遗传分析

将Ｅｌｓｔｏｎ模型应用于存在主基因差异的系间杂交的分离世代分析,提出利用似然函数分析数量性状的尺度效应、主基因分离比例以及主基因效应和微基因效应的方法,并应用于水稻遗传实验,结果表明,半矮秆籼稻品种南京１１号带有的隐性矮秆主基因,效应大约为４０－５６ｃｍ,微基因效应以加性为主,且主、微型基因存在显著互作,但互作和微基因效应均远小于基因效应。     

水稻籼粳交DH群体花器性状的遗传分析

水稻花器性状是影响杂交稻制种异交结实率的重要因素之一。利用一个水稻籼粳交(窄叶青8号/京系17)来源的DH群体对水稻柱头外露率、花柱长、柱头长、柱头宽、花药长、花药宽、颖花长、颖花宽和颖花长宽比9个花器性状和穗抽出度进行遗传分析。不论性状在2个亲本间的差异显著与否,在DH群体中10个研究性状在基因型间的差异均达到极显著水平(P<0.01),并表现为连续变异和明显的超亲分离。除花药宽的遗传力较低(50%)、且估计的基因数多达13个之外,其余9个研究性状的遗传力均较高,为68%～93%,控制这些性状的基因数估计为7～10个。这些结果表明,10个研究性状均为受多基因控制的数量性状,其增效和减效基因在2个亲本中均有分布,通过基因重组可产生正向和负向两个方向的超亲基因型。除了柱头长、柱头宽和穗伸出度3个性状未发现有基因间的上位性互作外,其余7个性状均检测到显著的互补性互作。性状相关和通径分析的结果显示,与柱头外露率关系最密切的花器性状为柱头长、柱头宽和颖花长宽比,颖花长和颖花宽主要通过影响颖花长宽比来对柱头外露率产生影响。其次,与柱头外露率关系较密切的为花柱长。柱头外露率高的基因型通常表现为长柱头、长粒型和长花柱。花药长、花药宽与上述花器性状间的相关性较弱。在DH群体中,穗伸     

水稻株高构成因素的QTL剖析

利用水稻籼粳杂交 (圭 6 30× 0 2 42 8) F1 的花药离体培养建立的一个含 81个 DH家系的作图群体 ,对水稻株高构成因素 (穗长、第 1节间长、……、第 5节间长 )进行基因定位。DH群体中株高构成因素均呈正态分布。相邻的构成因素间呈极显著的正相关 ,而相距较远的构成因素间的相关较弱或不显著。采用 QTL(Quantitative trait lo-cus)分析 ,定位了影响株高构成因素的 6个 QTL:qtl7同时影响穗长和第 1、2、3节间长 ,qtl1 和 qtl2 同时影响第 4和第 5节间长 ,qtl1 0 a和 qtl1 0 b仅影响第 1节间长 ,qtl3 仅影响第 3节间长。采用 QTL 互作分析 ,检测到 19对显著的互作 ,每个构成因素受 2个或 2个以上的 QTL 互作对的影响。并且还发现 ,同一个 QTL 互作对可能影响不同的性状 ,以及一个 QTL 可以分别与不同的 QTL 产生互作而影响同一个性状或影响不同的性状 ,但总的看来 ,加性效应是主要的。这些结果揭示了株高构成因素间相关的遗传基础 ,在水稻育种中运用这些 QTL 将有助于对株高 ,以及对穗长和上部节间长度进行精细的遗传调控。     

应用RAPD标记检测与水稻株高和抽穗期有关的QTLs

以生产上广泛应用的杂交稻组合汕优１０号的保持系珍汕９７Ｂ和恢复系密阳４６构建Ｆ２群体。应用ＲＡＰＤ标记检测,分析了与株高和抽穗期有关的ＱＴＬｓ,并探讨了基因的互作方式。在Ｆ２群体中性状表型分离明显,基本符合正态分布。单因子方差分析检测到与抽穗期和株高相关的标记数９个,并计算了单个ＱＴＬ对相关性状的贡献率。双因子方差分析发现上述检测到的ＱＴＬｓ之间大多不存在互作,但发现了一些有显著互作的新的ＱＴＬｓ,其互作贡献率远大于单因子方差分析检测到的ＱＴＬｓ,说明该群体中株高和抽穗期主要由不同座位间的互作控制,进一步的分析表明互作方式以重叠基因为主。     

烤烟不同生育时期产量性状的遗传效应分析

以烤烟高产品种竖把老母鸡和台烟7号与低产品种TI245配制成2个杂交组合,分别获得6个世代植株(P1、P2、F1、F2、B1、B2),运用主基因+多基因混合遗传多世代联合法对2个组合不同生育时期的产量性状进行遗传分析。研究结果表明,2个组合的产量性状在性状建成中发挥调控作用的基因数目与基因效应存在发育阶段性差异。基因加性效应与显性效应存在于整个发育过程中,且效应程度在不同生育时期存在明显差异,同时加性×加性、显性×显性互作效应在产量性状的发育过程中呈间断性表达。基因遗传力在不同生育时期存在差异,现蕾期产量性状的表型变异受基因遗传效应的决定作用高于其他2个生育时期,受环境因素影响小,且不同组合间的基因效应也存在显著差异,组合Ⅱ的遗传效应明显高于组合Ⅰ。不同组合的烤烟产量性状在不同生育时期主基因+多基因遗传效应差异显著,受环境影响程度不同,因此在育种工作中既要考虑基因效应,又要注意环境影响。     

互作基因定位方法的研究和计算机软件的开发

质量性状中存在6种可能的基因互作类型, 即互补、重叠、累加、显性上位、隐性上位和抑制。在遗传研究中, 有时会遇到互作基因定位的问题, 但至今未见有关互作基因定位方法和计算机软件的系统的研究报道。文章给出了基于极大似然估计的互作基因定位方法及相应的计算机软件(IGMapping 1.0)。计算机模拟表明, 此方法可以无偏地估计一个共显性标记与一个互作基因之间的重组率或连锁距离。     

A new gene for resistance to green leafhopperNephotettix virescens (Distant) in rice

The mode of inheritance of resistance to green leafhopper in 12 cultivars of riceOryza saliva L. was studied. Seedlings of parent and hybrid populations were artificially infested with second- and third-instar virus-free green leafhopper nymphs. Seedling reaction was scored when TNI, the susceptible check, was completely killed. The results revealed that single dominant genes confer resistance in six varieties, two independent dominant genes in four varieties, and single recessive genes in two varieties. The single dominant genes in Sri Gaya, ARC 7320, and T23 and one of the two genes in Aswina and Bhura Rata 2 are allelic toGlh-1; while Bhawalia hasGlh-5 gene. The second gene of Bhura Rata 2 is allelic to IR28 gene. Resistance in Chamar is controlled by two independent genes one of which is allelic toGlh-5 and the other allelic to IR28 gene. Bazal hasGlh-2 andGlh-5. The single recessive gene in ARC 7012 is allelic toglh-4 but the single recessive gene in DV85 is nonallelic to and independent ofglh-4. This new recessive gene is designated asglh-8. The single dominant genes of Dumai, Gadur, and the second gene of Aswina are nonallelic to all the known genes for resistance.     

水稻花药培养力的遗传分析及基因定位

在栽培稻的籼粳亚种间,花药培养力存在显著差异,这一差异主要是由遗传因素引起的。以适合籼粳稻杂种花药培养的SK_3培养基,经花药培养获得了一个籼粳交F_1代的加倍单倍体(DH)群体,对该群体的110个株系用同一种培养基进行花药培养,利用该群体构建的分子图谱进行有关水稻花药培养力的数量性状基因座位(QTLs)的分析。结果表明,与水稻花药培养力有关的4个性状在DH群体中均表现为连续分布,愈伤组织诱导率与绿苗分化率之间不存在相关性,而绿苗产率与愈伤组织诱导率和绿苗分化率均显著相关。在第6、7、8、10和12 5条染色体上分别检测到与愈伤组织诱导率有关的5个QTLs,其加性效应均为正。在第1和第9染色体上检测到与绿苗分化率有关的2个QTLs,这两个性状间的QTs不存在连锁。在第9染色体上有一个主效基因与白苗分化率有关,对绿苗产率则没有检测到特有的QTL。     

Analysis of quantitative trait loci which contribute to anther culturability in rice (Oryza sativa L.)

Anther culturability of rice is significantly different between indica and japonica varieties. A doubled haploid (DH) population was established via anther culture of an indica/japonica hybrid on SK₃ medium, which had been shown particularly suitable for anther culture of indica/japonica hybrids. For analyzing the quantitative trait loci (QTLs) responsible for anther culturability, anthers of the DH lines were again cultured with SK₃ medium and parameters for four traits representing the anther culturability were surveyed and analyzed with the molecular map constructed from the same DH population. The parameters for four major traits were as follows: callus induction frequency (CI), green plantlet differentiation frequency (GPD), albino plantlet differentiation frequency (APD), and green plantlet yield frequency (GPY). All four traits displayed continuous distributions among the DH lines. The correlation coefficients between these traits were also tested and showed that there was no relationship between callus induction and green plantlet differentiation frequencies, but both showed strong positive correlation with the frequency of green plantlet yield. For callus induction frequency, five QTLs were identified on chromosomes 6, 7, 8, 10 and 12. Two QTLs for green plantlet differentiation frequency were located on chromosomes 1 and 9. There was a major QTL for albino plantlet differentiation frequency on chromosome 9. No independent QTL was found for green plantlet yield frequency. The results may be useful in the selection of parents with high response to anther culture for rice haploid breeding and in the establishment of permanent DH populations for molecular mapping.     

Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect

Epistasis, an additive-by-additive interaction between quantitative trait loci, has been defined as a deviation from the sum of independent effects of individual genes. Epistasis between QTLs assayed in populations segregating for an entire genome has been found at a frequency close to that expected by chance alone. Recently, epistatic effects have been considered by many researchers as important for complex traits. In order to understand the genetic control of complex traits, it is necessary to clarify additive-by-additive interactions among genes. Herein we compare estimates of a parameter connected with the additive gene action calculated on the basis of two models: a model excluding epistasis and a model with additive-by-additive interaction effects. In this paper two data sets were analysed: 1) 150 barley doubled haploid lines derived from the Steptoe × Morex cross, and 2) 145 DH lines of barley obtained from the Harrington × TR306 cross. The results showed that in cases when the effect of epistasis was different from zero, the coefficient of determination was larger for the model with epistasis than for the one excluding epistasis. These results indicate that epistatic interaction plays an important role in controlling the expression of complex traits.     

Genetic analyses of six quantitative traits of a doubled haploid population of Porphyra haitanensis Chang et Zheng (Bangiales, Rhodophyta)

The first doubled haploid (DH) population of Porphyra haitanensis was created by crossing a wild-type line with a red type, artificial pigmentation, mutant line, by means of single somatic cell clone cultivation. Six quantitative traits (frond length (FL), frond width (FW), frond thickness (FT), fresh weight (W), growth rate of frond length (LGR), and growth rate of fresh weight (WGR)) from the DH population were analyzed. The frequency of each quantitative trait is in accordance with a normal distribution. Variable coefficients were between 20.43% and 57.35%, and while the mean of each quantitative trait was between the parents, it was closer to the paternal for six traits. Correlation analysis among the six traits showed significant positive correlations between FL and W, FW, and W, LGR and W, and WGR and W. There appears to be no correlation between FT and W. Heritability, number of genes controlling each quantitative trait and gene interactions, were also analyzed. Heritability of the six traits was greater than 70%, and heritability was not correlated with the number of genes controlling the corresponding quantitative trait. Frond thickness was the most heritable trait (95.30%), but this had the fewest control genes (7.52). According to the estimated coefficients of skewness and kurtosis, gene interaction was absent for LGR, but complementary gene interaction was observed in FW and W. In FL, FT, and WGR it is possible that complementary or duplicate gene interaction is involved. Our results enrich our understanding of Porphyra genetics and will help determine selection and breeding procedures for P. haitanensis.     

Both additivity and epistasis control the genetic variation for fruit quality traits in tomato

The effect of a gene involved in the variation of a quantitative trait may change due to epistatic interactions with the overall genetic background or with other genes through digenic interactions. The classical populations used to map quantitative trait loci (QTL) are poorly efficient to detect epistasis. To assess the importance of epistasis in the genetic control of fruit quality traits, we compared 13 tomato lines having the same genetic background except for one to five chromosome fragments introgressed from a distant line. Six traits were assessed: fruit soluble solid content, sugar content and titratable acidity, fruit weight, locule number and fruit firmness. Except for firmness, a large part of the variation of the six traits was under additive control, but interactions between QTL leading to epistasis effects were common. In the lines cumulating several QTL regions, all the significant epistatic interactions had a sign opposite to the additive effects, suggesting less than additive epistasis. Finally the re-examination of the segregating population initially used to map the QTL confirmed the extent of epistasis, which frequently involved a region where main effect QTL have been detected in this progeny or in other studies.     

Genome-wide prediction of functional gene-gene interactions inferred from patterns of genetic differentiation in mice and men

The human genome encodes a limited number of genes yet contributes to individual differences in a vast array of heritable traits. A possible explanation for the capacity our genome to generate this virtually unlimited range of phenotypic variation in complex traits is to assume functional interactions between genes. Therefore we searched two mammalian genomes to identify potential epistatic interactions by looking for co-adapted genes marked by excess two-locus genetic differentiation between populations/lineages using publicly available SNP genotype data. The practical motivation for this effort is to reduce the number of pair-wise tests that need to be performed in genome-wide association studies aimed at detecting GxG interactions, by focusing on pairs predicted to be more likely to jointly affect variation in complex traits. Hence, this approach generates a list of candidate interactions that can be empirically tested. In both the mouse and human data we observed two-locus genetic differentiation in excess of what can be expected from chance alone based on simulations. In an attempt to validate our hypothesis that pairs of genes showing excess genetic divergence represent potential functional interactions, we selected a small set of gene combinations postulated to be interacting based on our analyses and looked for a combined effect of the selected genes on variation in complex traits in both mice and man. In both cases the individual effect of the genes were not significant, instead we observed marginally significant interaction effects. These results show that genome wide searches for gene-gene interactions based on population genetic data are feasible and can generate interesting candidate gene pairs to be further tested for their contribution to phenotypic variation in complex traits.     

Quantitative trait loci underlying domestication- and yield-related traits in an Oryza sativa x Oryza rufipogon advanced backcross population

To understand the genetic characteristics of the traits related to differentiation between cultivated rice and its wild progenitor, genetic factors controlling domestication- and yield-related traits were identified using a BC3F2 population derived from an accession of common wild rice (donor, Oryza rufipogon Griff.) collected from Yuanjiang, Yunnan province, China, and an indica cultivar, Teqing (recipient, Oryza sativa L.). A genetic linkage map consisting of 125 simple sequence repeat (SSR) markers was constructed. Based on the phenotypes of the 383 BC3F2 families evaluated in two environments, two domestication-related morphological traits, panicle shape and growth habit, were found to be controlled by single Mendelian factors. This implies that the recessive mutations of single genes controlling some morphological traits could have been easily selected during early domestication. By single-point analysis and interval mapping, 59 putative quantitative trait loci (QTLs) that influence 11 quantitative traits were detected at two sites, and 37.5% of the QTL alleles originating from O. rufipogon had a beneficial effect for yield-related traits in the Teqing background. Regions with significant QTLs for domestication- and yield-related traits were detected on chromosomes 1, 4, 5, 7, 8, and 12. Fine mapping and cloning of these domestication-related genes and QTLs will be useful in elucidating the origin and differentiation of Asian cultivated rice in the future.