利用最大似然法进行水稻产量性状基因的分子作图

本研究根据对估计标记－数量性状基因座位（ＱＴＬ）之间重组率的两种分析方法（矩量法和最大似然法）、两种方差模型（ＱＴＬ基因型之间的方差同质和异质模型）的分析,揭示了ＬＯＤ值在标记－ＱＴＬ连锁检测上所得结果的相关性高于重组率估计值的相关性。采用最大似然法和异质方差模型,估计了水稻产量构成有关的ＱＴＬ与分布于１１对染色体上的５１个限制性片段长度多态性（ＲＦＬＰ）标记之间的重组率,并对似然比（以ＬＯＤ值表示）进行Ｘ￣２检验,发现７个存在显著连锁关系的标记－性状组合,其平均重组率为１０．０％。这些标记分布于第１、５、６、８和１１等５对染色体上,涉及７个ＲＦＬＰ标记和３个产量构成性状,即每穗颖花数（ＲＧ５７３、ＲＺ６１７、ＲＧ１０３）、单株穗数（ＲＧ６４Ｂ）和每穗实粒数（ＲＧ１０１、ＲＧ２４４、ＲＧ６５３）。     

水稻分蘖角度的ＱＴＬs分析

分蘖角是水稻株型构成的重要性状之一,在育种上人有极其重要的意义,利用分蘖角度差异显著的１对籼粳亲本,将其杂交Ｆ１代花培加倍,构建了１个ＤＨ群体,考察了１１５个ＤＨ株系的分蘖角度,并使用该群体构建的分子图谱进行数量性状座痊（ＱＴＬs)分析。分别在第９和１２个染色体上检测３个ＱＴＬs(qTA-9a、qTA－９b和qTA－１２）,贡献率分别为２２．７％、１１．９％和２０．９％,其加性效应均为负,表明由分蘖角度较大的窄占青８号的基因控制,并讨论了这种由主产和微效基因控制的分蘖性状在育种学上的应用。     

水稻剑叶部分形态生理特性QTL分析以及它们与产量、产量性状的关系

光合产物是水稻产量的主要来源,因此对水稻后期功能叶片尤其是剑叶形态生理性状的遗传分析对水稻高产育种很重要。利用来源于籼／粳交后代的重组自交系群体为材料对水稻剑叶形态（叶片长、宽、面积）和生理性状（叶绿度、持绿性）进行了QTL定位,并对这些性状与产量、产量性状的相关性进行了分析。两年分别定位了17、6和14个与剑叶形态性状、叶绿度和持绿性有关的QTL,其中10个QTL在两年中共同检测到。相关分析表明,较大的剑叶可以增加穗粒数并显著增加产量,然而叶绿度和持绿性与产量、产量性状无关或呈显著负相关。叶绿度与剑叶大小呈显著负相关以及籼／粳交群体后代半不育是叶绿度和持绿性与产量、产量性状无关或呈显著负相关的可能原因。染色体4上的RM255-RM349区域同时控制3个剑叶形态性状并且解释的变异也较大,该区域可用于遗传改良以提高水稻产量。染色体3上的RM422-RM565区域重叠了3个与持绿性有关的QTL,它们对产量的贡献有待于通过构建近等基因系进行深入研究。     

大白×梅山杂交组合肉质性状的数量性状位点定位分析

为寻找影响猪肉质数量性状基因位点的染色体区域 ,以 3头英系大白公猪和 7头梅山母猪建立F2 资源家系。随机选留 14 7头F2 代个体 (1998年 81头 ,2 0 0 0年 66头 ) ,经检测均获得肉质性状表型数据。对资源家系内的所有个体位于染色体 1、2、3、4、6和 7上的 48个微卫星位点进行扩增。利用线性模型最小二乘法分别对各年度及两年综合后的肉质性状进行数量性状位点 (QTL)区间定位 ,利用置换法确定显著性阈值。研究结果表明 :在 2 0 0 0年群体中 ,猪 4号染色体 (SSC4)上定位了肌内脂肪QTL ,达到染色体极显著水平 (P <0 0 1)和基因组显著水平 (P <0 0 5) ,解释表型变异为 5 2 4% ,梅山猪具有增加肌内脂肪QTL ;两年度群体综合后 ,在上述 4号染色体同一区间 ,肌内脂肪QTL接近染色体显著水平 ;股二头肌pH值和半棘肌pH值QTL分别定位在SSC1和 3上 ;在 1998年和 2 0 0 0年群体中分别发现 1个和 3个达染色体显著水平 (P <0 0 5)的系水力QTL ;在 1998年群体中 ,肌肉含水量QTL位于SSC6;两年综合群体中 ,SSC2、6和 7上定位了肌肉含水量QTL ,达到染色体显著水平 ,含水量QTL均有印迹效应 ,梅山和大白猪各有增效基因     

不同发育阶段水稻苗高的QTL分析

分析了不同发育阶段控制水稻苗高的QTL,用5个阶段和4个净增长量的数据共检测到9个QTL,分别位于染色体1,4,6,7,8,11,和12号上。SH－4是主基因,它在各个阶段都表达,对苗高的贡献率在20％以上。结果表明,数量性状的发育或形态建成是由数量性状位点基因选择性表达的结果。     

玉米优异早熟种质单330开花相关性状的QTL分析

玉米开花相关性状与玉米的成熟期和产量有密切的联系。通过对玉米CN165×单330(早熟种质)群体的130个F2:3家系开花相关性状在3个环境下进行分子鉴定和数量性状位点(QTL)分析,结果表明,在3个环境中检测到控制抽雄天数的10个QTL,分别位于第2、3、4、5、7、8染色体上,在第8染色体上同一区域在3种环境下都检测到了QTL;检测到控制散粉天数的10个QTL,分别位于第1、2、3、5、7、8染色体上,在第8染色体上同一区域在2种环境下都检测到了QTL;检测到控制吐丝天数的4个QTL,分别位于第4、5、8染色体上,在第8染色体不同环境下都检测到了2个QTL;仅仅在一个环境中检测到控制ASI的2个QTL,分别位于第6、9染色体上。这些QTL的基因效应以部分显性和超显性为主。研究表明,第8染色体上ph i060-um c2401区域(8.03~8.04)是一个研究开花相关性状的重要基因组区段,涉及到的标记可以作为分子标记辅助选择的重要候选标记。     

在猪12号染色体上定位数量性状位点

为了找出猪１２号染色体上的数量性状位点,在２个家系中测定了１０个遗传标记,并记录了５１个重要经济性状。该２家系,一个由欧洲野猪与皮特兰杂交而成,另一个由梅山与皮特兰杂交建成。应用最小二乘法进行了数量性状位点定位,同时进行了生长激素基因型与性状间的相关分析。应用最小二乘法并未发现数量性状位点,而应用相关分析发现生长激素基因型与某些膘情性状高度相关。带有基因型Ｃ１Ａ２／Ｃ４Ａ２的猪比带有基因型Ｃ２Ａ２     

1E~e染色体对小麦农艺和品质性状的影响研究

二倍体长穗偃麦草含有抗条锈病、抗赤霉病和耐盐碱等优异基因,是小麦遗传改良的重要基因源之一。为明确1E~e染色体片段对小麦农艺和品质性状的影响,利用1E~e(1A)代换系和中国春为试验材料,多年多点鉴定,农艺性状分析结果表明,1E~e取代1A染色体,不仅降低了旗叶长度和旗叶宽度等农艺性状,而且降低了粒长、粒宽、穗粒数、小穗数和千粒重等产量相关性状,但显著增加了穗长。品质相关性状分析结果表明,1E~e染色体可以显著增加面团最大峰值高度和8分钟带宽,但对蛋白质含量、SDS沉降值、湿面筋含量、面筋指数和峰值高度时间等5个指标上没有显著影响。另外,本研究开发了17个1E~e染色体特异分子标记。总之,1E~e染色体可提高小麦品质,但对产量相关性状有不利影响,本研究开发的分子标记对于进一步打破连锁累赘,创制小麦-长穗偃麦草Glu-Ee1短片段易位系具有重要意义。     

大豆重要农艺性状的QTL分析

应用栽培大豆科丰1号（♀）和南农1138-2（♂）杂交得到的F9代重组自交系（RILs）群体（201个家系）,构建了含302遗传标记、覆盖2363.8cM、由22个连锁群组成的遗传连锁图谱。采用区间作图法,对该群体的主要农艺性状的调查数据进行QTL分析,表明与开花期、成熟期、株高、主茎节数、每节荚数、倒状性、种子重、产量、蛋白质和含油量等10个重要农艺性状连锁的QTL位点34个,每个数量性状的遗传变异是由多个QTL位点决定的。与产量有关的农艺性状的一些QTL集中在几个连锁群上。     

人X染色体35cMYAC重叠群的构建及物理图谱分析

人Ｘ染色体Ｘｐ１１．２－ｐ２１．３区域具有重要的基础遗传学和医学遗传学意义。为了对该区段编码的基因,尤其是疾病基因进行克隆与变异研究,对该区段染色体ＤＮＡ进行了ＹＡＣ克隆并将其依染色体排序,采用了一系列ＤＮＡ位标,尤其是多肽性微卫星序列位标筛选了３个ＹＡＣ方库,得到了１５１个ＹＡＣ克隆,对这些ＹＡＣ克隆进行了物理图谱分析,构建了这一区域的一系列ＹＡＣ重叠群,这些ＹＡＣ重叠群的总跨度约３５摩,基本覆     

Quantitative trait loci for fertility traits in Finnish Ayrshire cattle

A whole genome scan was carried out to detect quantitative trait loci (QTL) for fertility traits in Finnish Ayrshire cattle. The mapping population consisted of 12 bulls and 493 sons. Estimated breeding values for days open, fertility treatments, maternal calf mortality and paternal non-return rate were used as phenotypic data. In a granddaughter design, 171 markers were typed on all 29 bovine autosomes. Associations between markers and traits were analysed by multiple marker regression. Multi-trait analyses were carried out with a variance component based approach for the chromosomes and trait combinations, which were observed significant in the regression method. Twenty-two chromosome-wise significant QTL were detected. Several of the detected QTL areas were overlapping with milk production QTL previously identified in the same population. Multi-trait QTL analyses were carried out to test if these effects were due to a pleiotropic QTL affecting fertility and milk yield traits or to linked QTL causing the effects. This distinction could only be made with confidence on BTA1 where a QTL affecting milk yield is linked to a pleiotropic QTL affecting days open and fertility treatments.     

METHODS OF ASSESSING THE SPORICIDAL EFFICIENCY OF AN ULTRA-HIGH-TEMPERATURE MILK STERILIZING PLANT. III. LABORATORY DETERMINATIONS OF THE HEAT RESISTANCE OF SPORES OF BACILLUS SUBTILIS IN WATER AND IN MILK

SUMMARY: Thermal death curves for spores of Bacillus subtilis 786 have been determined in water and in milk. Generally a non-logarithmic order of death was observed. Numbers of survivors were lower in milk than in water, suggesting that there may be inhibitory factors in UHT sterilized milk which affect the germination and/or subsequent growth of heated spores.
The thermal death curves for spores suspended in milk yielded Q₁₀ values of about 30 in the range 110–120°. This is higher than the figures previously reported in the literature for R. subtilis spores. Spores of a number of strains of B. subtilis were compared with strain 786 and all gave high Q₁₀ values.
The results obtained in this work have been used to predict the destruction of spores at higher temperatures in a UHT plant (Burton et al. 1958). The calculated values agree well with the results obtained in the plant by Franklin et al. (1958).     

Application of the covariance function approach with an iterative two-stage algorithm to the estimation of parameters of a random regression test day model for dairy production traits

The covariance function approach with an iterative two-stage algorithm of LIU et al. (2000) was applied to estimate parameters for the Polish Black-and-White dairy population based on a sample of 338 808 test day records for milk, fat, and protein yields. A multiple trait sire model was used to estimate covariances of lactation stages. A third-order Legendre polynomial was subsequently fitted to the estimated (co)variances to derive (co)variances of random regression coefficients for both additive genetic and permanent environment effects. Daily and 305-day heritability estimates obtained are consistent with several studies which used both fixed and random regression test day models. Genetic correlations between any two days in milk (DIM) of the same lactation as well as genetic correlations between the same DIM of two lactations were within a biologically acceptable range. It was shown that the applied estimation procedure can utilise very large data sets and give plausible estimates of (co)variance components.     

The appropriate use of regression equations for the estimation of segmental inertia parameters

Linear regression equations are commonly used in conjunction with experimental data to provide linear relationships between quantities which are dimensionally distinct. In many cases theoretical relationships between such quantities are known and can be used as a basis for non-linear regression equations. This study compares linear and non-linear approaches for estimating the segmental moments of inertia from anthropometric measurements using the data of Chandler et al. [Chandler et al. (1975) Investigation of inertial properties of the human body. AMRL Technical Report 74-137, Wright Patterson Air Force Base. OH.] Right limb data were used to derive the equations while left limb data were used as a cross-validation sample to evaluate the inertia estimates calculated from the equations. For the limb segments the standard error estimates had average values of 21% for the linear equations and 13% for the non-linear equations. Data on a 10 yr-old boy was used to compare the two approaches outside the sample range. The mean percentage residuals were 286% for the linear equations and 20% for the non-linear equations. A set of non-linear equations is provided.     

Mapping quantitative trait loci (QTL) in sheep. II. Meta-assembly and identification of novel QTL for milk production traits in sheep

An (Awassi × Merino) × Merino backcross family of 172 ewes was used to map quantitative trait loci (QTL) for different milk production traits on a framework map of 200 loci across all autosomes. From five previously proposed mathematical models describing lactation curves, the Wood model was considered the most appropriate due to its simplicity and its ability to determine ovine lactation curve characteristics. Derived milk traits for milk, fat, protein and lactose yield, as well as percentage composition and somatic cell score were used for single and two-QTL approaches using maximum likelihood estimation and regression analysis. A total of 15 significant (P < 0.01) and additional 25 suggestive (P < 0.05) QTL were detected across both single QTL methods and all traits. In preparation of a meta-analysis, all QTL results were compared with a meta-assembly of QTL for milk production traits in dairy ewes from various public domain sources and can be found on the ReproGen ovine gbrowser http://crcidp.vetsci.usyd.edu.au/cgi-bin/gbrowse/oaries_genome/. Many of the QTL for milk production traits have been reported on chromosomes 1, 3, 6, 16 and 20. Those on chromosomes 3 and 20 are in strong agreement with the results reported here. In addition, novel QTL were found on chromosomes 7, 8, 9, 14, 22 and 24. In a cross-species comparison, we extended the meta-assembly by comparing QTL regions of sheep and cattle, which provided strong evidence for synteny conservation of QTL regions for milk, fat, protein and somatic cell score data between cattle and sheep.     

Genetic activity of the G- and R-band DNA of human mitotic chromosomes

The concept of genetic inactivity of G-band DNA had been reinvestigated using the modified approach of Korenberg et al (1978). Coefficients of correlation and partial correlation between the relative gene density (g'), the relative G-band material richness (kH/C) and the relative chromosome size (s') were calculated. The kH/C was calculated as the ratio of brightness of fluorescence of chromosomes stained by Hoechst 33258 (Hi) and by chromomycin A3(Ci). The kH/C is the characteristics of G-band chromosome richness, because G-bands become bright after Hoechst 33258 staining and R-bands are bright after chromomycin A3 staining, while no significant C-bands in chromosomes which may be stained by these fluorochromes are discovered. For the kH/C determination the flow cytometry data of Langlois et al (1982) were used. The relative size of chromosomes was determined, based on the flow cytometry data of Young et al (1979). According to Korenberg, the "gene density" (g') in a chromosome was calculated as a ratio of the number of genes located in the chromosome before 1984 (Human Gene Mapping 7) to the relative size of this chromosome. Correlation between the "gene density" and the G-band richness was rs = -0.65. Out of 107 genes located in either G- or R-bands (Human Gene Mapping 7), 90 were mapped in the R-band and only 17 were ascribed to the G-band in metaphase chromosomes. The data on gene replication time show that all genes of the general cell activity and a portion of tissue-specific genes replicate during the early S-phase, together with R-band materials. These three independent lines of evidence are consistent with the notion that the R-band DNA is more genetically active than G-band DNA. The nature of "junk" DNA of G-bands is discussed.     

Amendments to <Superscript>63</Superscript>Ni production calculation for Hiroshima by Takamiya et al. and DS02 fluence data by Egbert et al.

In a previous paper, Takamiya et al. calculated ⁶³Ni production in copper samples exposed to the Hiroshima atomic bomb. More specifically, they used their experimental cross-section values of the ⁶³Cu(n,p)⁶³Ni reaction and compared the result with that of the corresponding calculation in the radiation dosimetry system DS02, which used another set of cross-section values. These results were different, and the following two reasons were found: typographical errors in several energy boundary values in the DS02 report that was also used in the calculation by Takamiya et al. and an inappropriate assumption on the cross-section values of the low neutron energy region in the calculation by Takamiya et al. These two issues are described and amended in the present report.     

Effects of marked chromosome sections on milk performance in cattle

Summary The investigations of paternal half sibs start with the assumption that the transfer of an allele from a father to an offspring also indicates the inheritance of a distinct section of two homologous chromosomes from the father concerned. With the help of 20 gene systems, the transfers of single chromosome sections were marked and tested with regard to influences on milk performance traits. 1,457 German Friesian cattle, registered as daughters of three sires, were used. Some of the chromosome sections showed significant effects on the traits considered. Since especially those chromosomes which bear genes for milk proteins were involved, it was assumed that groups of linked loci influence the genetic variance of milk production. Possibilities for applying the results to the practical breeding situation and their significance are discussed.     

Quantitative trait loci underlying milk production traits in sheep

Improvement of milk production traits in dairy sheep is required to increase the competitiveness of the industry and to maintain the production of high quality cheese in regions of Mediterranean countries with less favourable conditions. Additional improvement over classical selection could be reached if genes with significant effects on the relevant traits were specifically targeted by selection. However, so far, few studies have been undertaken to detect quantitative trait loci (QTL) in dairy sheep. In this study, we present a complete genome scan performed in a commercial population of Spanish Churra sheep to identify chromosomal regions associated with phenotypic variation observed in milk production traits. Eleven half-sib families, including a total of 1213 ewes, were analysed following a daughter design. Genome-wise multi-marker regression analysis revealed a genome-wise significant QTL for milk protein percentage on chromosome 3. Eight other regions, localized on chromosomes 1, 2, 20, 23 and 25, showed suggestive significant linkage associations with some of the analysed traits. To our knowledge, this study represents the first complete genome scan for milk production traits reported in dairy sheep. The experiment described here shows that analysis of commercial dairy sheep populations has the potential to increase our understanding of the genetic determinants of complex production-related traits.     

Statistical methods for multipoint radiation hybrid mapping.

On the basis of the earlier work of Goss and Harris, Cox et al. introduced radiation hybrid (RH) mapping, a somatic cell genetic technique for constructing fine-structure maps of human chromosomes. Radiation hybrid mapping uses X-ray breakage of chromosomes to order a set of genetic loci and to estimate distances between them. To analyze RH mapping data Cox et al. derived statistical methods that employ information on sets of two and four loci, to build an overall locus order. Here we describe alternative nonparametric and maximum-likelihood methods for the analysis of RHs that use information on many loci simultaneously, including information on partially typed hybrids. Combination of these multipoint methods provides a statistically more efficient solution to the locus-ordering problem. We illustrate our approach by applying it to RH mapping data on 14 markers in 99 radiation hybrids for the proximal long arm of human chromosome 21.