大白菜(Brassica pekinensis)与甘蓝(B.oleracea)的种间试管受精

通过大白菜胚珠与甘蓝花粉的试管授粉和受精得到了杂种种子。杂交一代的植株形态和花粉发育情况及根尖细胞染色体数均表明为种间杂种。杂种植株具有父母本的特征,某些性状介于双亲之间;花粉粒发育不正常;根尖细胞染色体数为2n=19。本研究为其他十字花科植物的远缘杂交中克服不亲和性提供了依据。     

大白菜自交不亲和系选育及杂种优势利用

利用一代杂种,可以提高大白菜栽培性状的一致性,是增强抗病性,改进品质,获得高产的有效途径。为了尽快地选育出优良的一代杂种及有效地解决制种技术,我们于1963年起开展了大白菜自交不亲和系的选育及一代杂种优势利用的研究。在毛主席革命路线指引下,选育出一批较稳定的自交不亲和系及优良的一代杂种组合。其中一代杂种“青杂早丰”、“青杂中丰”已在当地生产中推广应用。     

结球甘蓝植株相关主要农艺性状 的遗传及相关性分析

利用主要农艺性状上具有显著差异的结球甘蓝高代纯合自交系01-88和02-12杂交获得F1,通过游离小孢子培养获得含有189个基因型的DH群体为试验材料,采用主基因+多基因混合遗传模型对结球甘蓝外叶数、开展度、株高、外叶颜色、外叶长和外叶宽6个与植株相关的主要农艺性状进行遗传和相关性分析。结果表明,在DH分离群体中6个主要农艺性状呈连续的、单峰、偏态分布,说明这些性状为多基因控制的数量性状。除外叶宽和外叶颜色性状受多基因控制外,其余4个农艺性状均受2对主基因+多基因控制。主基因遗传率大小顺序为株高(59.16%)>外叶长(56.56%)>外叶数(55.67%)>开展度(19.56%)。株高、外叶长和外叶数性状具有较高的主基因遗传率,早代选择效果较好。这6个农艺性状间存在一定的相关性,其中外叶数与开展度、外叶长与外叶宽等成对性状呈极显著正相关;外叶数与外叶宽成对性状呈极显著负相关,在育种实践中可利用其相关性实行间接选择。     

籼梗杂种一代的生理学性状和米质性状的杂种优势

本文研究了9个组合籼梗杂种一代的生理学性状和7个组合的米质性状的杂种优势。 试验结果表明：在所研究的6项生理学性状中,籼梗杂种一代的剑叶面积和根活力两性状的正向优势达到显著水准;在研究的7项米质性状中,籼梗杂种一代的直链淀粉含量的正向优势达到显著水准,胶稠度呈显著的负向优势,米粒长、米粒宽、腹白大小、脂肪含量、蛋白质含量等性状均表现为双亲的中间类型。     

散鳞镜鲤与兴国红鲤、龙州镜鲤的杂种优势以及鳞被、体色的遗传

本研究希望通过鲤鱼品种间杂交出现的杂种优势来提高鲤鱼的产量以及在杂种的后代中选择具有优良的经济性状的类型培育出新的鲤鱼品种。两组杂交的杂种一代具有明显的杂种优势,可以直接应用于渔业生产上并可望获得增产效果。根据对鳞被和体色的遗传特性的研究结果断定散鳞镜鲤与兴国红鲤的杂种二代中出现的红色镜鲤的鳞被和体色是由纯合型隐性基因控制的,可以预期它的后代不再出现分离而可能成为一个稳定的新品种。研究了不同品种及其杂种的血清蛋白聚丙烯酰胺盘状电泳图谱,希望借此作为一种选种的工具。     

大瓶螺分子群体遗传结构和杂种优势预测

用垂直板聚丙烯酰胺凝胶电泳,对大瓶螺7个近交系的苹果酸脱氢酶、酯酶和α淀粉酶的酶谱进行观测,以估算群体固定指数和任两近交系间的遗传分化指数;用这7个近交系作半双列杂交,以估算杂种一代一些重要经济性状的优势率。结果表明,杂种一代某些性状的优势率与其双亲间的遗传分化指数存在极显著的直线回归关系。因此,杂种一代优势率的大小一般可用其双亲间的遗传分化指数的大小加以预测。最后讨论了这种预测的理论依据和影响预测的因素。 Abstract:Isozyme electrophoregrams of MDH,EST and α-AMY were investigated with 7 inbred lines of Ampullaria gigas.The fixation indices of the population and genetic differential indices between the lines were estimated at molecular level.A half diallel hybridization was made with the line in order to estimate F1 heterosis for some important economic traits.The results showed that there was a linear regression between F1 heterosis and the genetic differential index of its parents.Therefor,F1 heterosis of a cross combination could be predicted by the index of its parents.Finally,the thcoretical basis and influential factors the prediction were discussed.     

草鱼×赤眼鳟F1与其亲本遗传性状的比较研究

采用生物统计方法,对草鱼、赤眼鳟及其杂种一代（草♀×赤♂、草♂×赤♀）的１０ 个数量性状进行统计分析,结果显示草♂×赤♀杂种的性状表现了明显的趋父性遗传,而草♀×赤♂杂种则表现了明显的趋母性遗传．用杂种指数衡量,在所测量的７ 个性状中,有５ 个偏向草鱼,只有体长／体高和脊椎骨数２ 个性状偏向赤眼鳟．这表明草鱼与赤眼鳟的杂交后代（Ｆ１）数量性状遗传受草鱼遗传因子的影响较大．     

桔粉蚧及无花果粉蚧和它们的杂种第一代的形态比较(摘要)(英文)

将在同一地区发生的桔粉蚧Planococcus citri(Risso)与无花果粉蚧Planococcus ficus(Signoret)进行相互杂交,得出的杂种第一代在形态上与两种亲代进行比较,并在它们之间进行比较。作形态比较时,利用的特征是腹部各种结构的有无与分布,如与背部三角蜡孔相一致的管状导管、胸部及两个腹节上的多室孔等。两个亲本种类在头及胸部管状导管及多室孔的有无及数目上表现出显著的差异。桔粉蚧在腹部管状导管的数目上与其杂种第一代有明显的差异(特别是与那些以无花果粉蚧为母本的杂种第一代的差异更显著)。无花果粉蚧,如果是桔粉蚧母本产生的杂交后代,则与杂交第一代的差异大,而如果是无花果粉蚧母本产生的杂交后代,则不表现什么差异。杂种第一代的雌蚧相互之间差异显著,特别是头部及前中胸部管状导管的数目。研究报告强调了雌蚧在传递所选特征上的重要作用。当区别这两种粉蚧遇到困难时,应当考虑到在这两个种的混合种群中于自然状况下有可能产生杂种。     

甘蓝型油菜和芥菜型油菜种间杂交研究

甘蓝型油菜与芥菜型油菜杂交研究结果表明,杂交结实力与杂交组合方式以及参与杂交的亲本材料有关,以芥菜型油菜作母本的杂交结实力高于以甘蓝型作母本的组合：芥×甘杂交组合的平均结实数／花为 ２．６４ 粒,而甘×芥杂交组合的平均结实数／花为 ０．１０ 粒。芥甘杂种一代形态特征和生育期介于双亲之间,甘芥杂种一代不表现整齐的中间类型,株间差异明显;总体来看,芥甘杂种一代与双亲回交的结实力（０．４０,０．２１）低于甘芥杂种一代与双亲回交的结实力（３．３０,１．７４）,无论是芥甘杂种一代还是甘芥杂种一代,用甘蓝型油菜作父本回交的结实力高于用芥菜型油菜作父本回交的结实力,但也有个别回交组合出现例外,不表现上述规律。 Ｂ Ｃ１ 代种子当年播种出苗率低（１８．５％ ）,群体株间性状差异明显,生育期极不一致。芥甘杂种一代与甘蓝型油菜亲本第二次回交,其平均结实数／花较回交一代提高 １．０８ 粒, Ｂ Ｃ２ 代种子当年播种出苗率仍较低,但较对应的 Ｂ Ｃ１ 代稍有提高,群体中出现趋回交父本性状但雄性育性彻底退化的植株。芥甘杂种一代自由授粉所得 Ｆ２ 群体是一个变异极为丰富的遗传群体。     

玉米自交系间遗传距离与产量杂种优势,杂种产量的关系

以13个玉米自交系及其按双列杂交配制的78个单交种为材料,研究性状选择、亲本选择对遗传距离与产量杂种优势、杂种产量关系的影响,结果表明:(1)当性状数较少时,遗传距离与产量杂种优势、杂种产量的关系因性状的不同而异;当性状数较多时,遗传距离与产量杂种优势、杂种产量的关系为抛物线,受性状影响较小;(2)当所选亲本材料的遗传差异较大时,遗传距离与产量杂种优势的关系为抛物线;当所选亲本材料的遗传差异较小时,遗传距离与产量杂种优势的关系为直线或不相关。     

The Statistical Properties of Genetic Absolute Distance

The statistical properties of one estimator of absolute genetic distance (1/2) ^K∑_i=1 |pxi-yr|, tween two populations X and Y, are presented. It is shown that using this distance in small samples can be misleading particularly when populations are close to each other.     

桃不同类群的遗传多样性及其遗传结构的RAPD分析

采用RAPD技术,利用从200个随机引物筛选的22个十碱基引物对桃10个类群180个样品的DNA进行扩增,得到180个位点。通过对所得的数据统计分析,在类群的遗传多样度上表现为:黄肉桃类>蜜桃类>蟠桃类>红叶桃类>硬肉桃类>碧桃类>水蜜桃类>油桃类>寿星桃类>垂枝桃类。在180个位点中检验出多样度范围在0.4以上的位点分布在桃总群体中的有37个,而在桃类群间的则有13个。聚类分析的结果是:桃食用栽培品种的类群聚为一组;其它非食用桃类群各为一组。对桃类群的遗传多样性及其结构分析,为桃的品种资源保存和利用提供分子生物学依据。     

Prediction of genetic gain from quadratic optimisation with constrained rates of inbreeding

There are selection methods available that allow the optimisation of genetic contributions of selection candidates for maximising the rate of genetic gain while restricting the rate of inbreeding. These methods imply selection on quadratic indices as the selection merit of a particular individual is a quadratic function of its estimated breeding value. This study provides deterministic predictions of genetic gain from selection on quadratic indices for a given set of resources (the number of candidates), heritability, and target rate of inbreeding. The rate of gain was obtained as a function of the accuracy of the Mendelian sampling term at the time of convergence of long-term contributions of selected candidates and the theoretical ideal rate of gain for a given rate of inbreeding after an exact allocation of long-term contributions to Mendelian sampling terms. The expected benefits from quadratic indices over traditional linear indices (i.e. truncation selection), both using BLUP breeding values, were quantified. The results clearly indicate higher gains from quadratic optimisation than from truncation selection. With constant rate of inbreeding and number of candidates, the benefits were generally largest for intermediate heritabilities but evident over the entire range. The advantage of quadratic indices was not highly sensitive to the rate of inbreeding for the constraints considered.     

作物品种间杂种优势遗传分析的新方法

本文提出了分析双列杂交试验资料的两个遗传模型。第一个模型包括加性、显性和母体效应;第二个模型只包括简单的加性和显性效应。还介绍了分析杂种优势、估算遗传方差分量以及预测遗传效应值的相应统计分析方法。用所介绍的遗传模型和分析方法以及常用的Griffing配合力分析方法,分析了棉花6个品种双列杂交的产量性状,并进一步比较了不同方法的分析结果。采用本文所介绍的遗传模型和分析方法,可以克服用Griffing的配合力模型及其方法分析杂种优势和配合力遗传表现所存在的局限性。     

Evolutionary potential of Chamaecrista fasciculata in relation to climate change. II. Genetic architecture of three populations reciprocally planted along an environmental gradient in the great plains

Climate change will test the evolutionary potential of populations. Information regarding the genetic architecture within and among populations is essential for prediction of evolutionary outcomes. However, little is known about the distribution of genetic variation for relevant traits in natural populations or alteration of genetic architecture in a changing environment. In this study, pedigreed families from three populations of the annual prairie legume Chamaecrista fasciculata were reciprocally transplanted in three environments across a broad latitudinal range in the Great Plains. The underlying premise of this work is that northern populations will in the future experience climates similar to current-day climates further south. Estimates of narrow-sense heritability ranged from 0.053 to 0.481, suggesting the potential for evolutionary change is possible for most traits. In general, the northern population harbored less genetic variation and had lower heritability for traits than the southern population. This population also experienced large reductions in fitness, as measured by estimated lifetime fecundity, when raised in either the intermediate or the southern climate, whereas the difference between the intermediate and southern population was less extreme. For fecundity, the pattern of cross-environment additive genetic correlations was antagonistic to evolutionary change in four of six cases when native and nonnative sites were compared. Six additional antagonistic positive correlations were found for the rate of phenological development and leaf thickness. Overall, the data suggest that if climate changes as predicted, the northern population will face a severe evolutionary challenge in the future because of low heritabilities, cross-environment genetic correlations antagonistic to selection, and demographic instability due to lower seed production in a hotter and drier climate.     

Origins of gene, genetic code, protein and life: comprehensive view of life systems from a GNC-SNS primitive genetic code hypothesis

We have investigated the origin of genes, the genetic code, proteins and life using six indices (hydropathy, α-helix, β-sheet and β-turn formabilities, acidic amino acid content and basic amino acid content) necessary for appropriate three-dimensional structure formation of globular proteins. From the analysis of microbial genes, we have concluded that newly-born genes are products of nonstop frames (NSF) on antisense strands of microbial GC-rich genes [GC-NSF(a)] and from SNS repeating sequences [(SNS)_n] similar to the GC-NSF(a) (S and N mean G or C and either of four bases, respectively). We have also proposed that the universal genetic code used by most organisms on the earth presently could be derived from a GNC-SNS primitive genetic code. We have further presented the [GADV]-protein world hypothesis of the origin of life as well as a hypothesis of protein production, suggesting that proteins were originally produced by random peptide formation of amino acids restricted in specific amino acid compositions termed as GNC-, SNS and GC-NSF(a)-0th order structures of proteins. The [GADV]-protein world hypothesis is primarily derived from the GNC-primitive genetic code hypothesis. It is also expected that basic properties of extant genes and proteins could be revealed by considerations based on the scenario with four stages This review is a modified English version of the paper, which was written in Japanese and published inViva Origino 2001 29 66–85.     

昆虫种群的遗传调控

昆虫种群的遗传调控是利用昆虫自身生长发育的关键基因,采用性别控制开关,通过遗传转化使雄虫成为携带导致后代雌虫发育异常或雌性不育的遗传控制复合体（性别开关元件和靶标基因的复合体）．昆虫种群遗传调控是一种基于不育技术的昆虫种群控制系统,具有种类特异、环境友好和便捷高效等特点．目前为止,已经由早期的通过辐射不育方法发展到释放携带显性致死基因昆虫的方法,并在多种昆虫中获得成功．本文综述了昆虫种群遗传调控的发展历程,介绍了昆虫种群遗传调控相关的理论与方法,包括特异的调控元件、致死或缺陷基因和遗传转化体系的应用,并列举了几种昆虫种群遗传调控的实例,最后对于昆虫种群遗传调控系统中存在的问题以及可能的发展方向进行了展望．     

Effects of forced migrations on spatial and temporal changes in genetic structure of two local populations in Bosnia

Ten qualitative traits were observed in two isolated human populations in Bosnia for prewar and postwar periods. Due to recent war in Bosnia and Herzegovina two million citizens was forced to migrate. Dramatic migration effects occurred in the investigated populations. Population characteristics found were geographic isolation, high levels of marital distance “zero”, patrilocality and propagation isolation. Relative recessive allele frequencies of ten qualitative traits were calculated. Average heterozigosity, genetic differentiation, total heterozigosity, within populations heterozigosity, genetic distance and relative measures based on results of genetic distance analysis were observed. The total number of observed individuals was 1875. We have observed 1209 individuals in prewar period (Bijela population 731 and Memici population 478) and 666 individuals in the postwar period (Bijela population 248 and Memici population 478). Results ofFst andGst analysis showed changed degree of genetic differentiation across observed loci. Significant changes in differentiation were recorded for crooked little finger and PTC tasting. Modest changes of gene differentiation were recorded for ear lobe type and thumb proximal extensibility. Genetic distance analisis between Bijela and Memici has lower value after then before the war, but genetic distance between Bijela-prewar and Bijela-postwar has higher value, as well as Memici-prewar and Memici-postwar genetic distance. Genetic distance between Bijela-prewar and Memiciprewar, as well as Bijela-postwar and Memici-postwar showed similarity. Constructed dendrogram based on results of genetic distance analyses indicated two clusters groups (1. Bijela-prewar, Memici-prewar; 2. Bijela-postwar, Memici-postwar). Changed genetic differentiation and results of genetic distance analyses indicated possibility of significant impact of forced migration in genetic structure of observed populations.     

The probability of genetic parallelism and convergence in natural populations

Genomic and genetic methods allow investigation of how frequently the same genes are used by different populations during adaptive evolution, yielding insights into the predictability of evolution at the genetic level. We estimated the probability of gene reuse in parallel and convergent phenotypic evolution in nature using data from published studies. The estimates are surprisingly high, with mean probabilities of 0.32 for genetic mapping studies and 0.55 for candidate gene studies. The probability declines with increasing age of the common ancestor of compared taxa, from about 0.8 for young nodes to 0.1–0.4 for the oldest nodes in our study. Probability of gene reuse is higher when populations begin from the same ancestor (genetic parallelism) than when they begin from divergent ancestors (genetic convergence). Our estimates are broadly consistent with genomic estimates of gene reuse during repeated adaptation to similar environments, but most genomic studies lack data on phenotypic traits affected. Frequent reuse of the same genes during repeated phenotypic evolution suggests that strong biases and constraints affect adaptive evolution, resulting in changes at a relatively small subset of available genes. Declines in the probability of gene reuse with increasing age suggest that these biases diverge with time.     

Forward from the crossroads of ecology and evolution

Community genetics is a synthesis of community ecology and evolutionary biology. It examines how genetic variation within a species affects interactions among species to change ecological community structure and diversity. The use of community genetics approaches has greatly expanded in recent years and the evidence for ecological effects of genetic diversity is growing. The goal of current community genetics research is to determine the circumstances in which, and the mechanisms by which community genetic effects occur and is the focus of the papers in this special issue. We bring a new group of researchers into the community genetics fold. Using a mixture of empirical research, literature reviews and theoretical development, we introduce novel concepts and methods that we hope will enable us to develop community genetics into the future.