土壤水分对不同专用小麦后期光合特性及产量的影响

采用盆栽方法,研究了土壤水分对专用小麦生育后期光合特性及产量的影响.结果表明,强筋小麦豫麦34旗叶叶绿素计读数(SPAD值)、PSⅡ活性(Fv/Fo)和PSⅡ最大光能转换效率(Fv/Fm)在土壤相对含水量60%(FC)的条件下最高,光化学猝灭系数(qP)、非光化学猝灭系数(qN)、有效电子传递速率(ETR)和传递的量子产率(Φ2)在80%FC下最高;高产小麦豫麦49旗叶SPAD值、qP、qN、ETR均以80%FC下最高,Fv/Fo、Fv/Fm和φ2受土壤水分影响不大;弱筋小麦豫麦0,除qN在80%FC下最低外,其余光合特性参数均以80%FC的条件下最高.豫麦34产量和蛋白质含量均以60%FC最高,且产量达极显著差异;豫麦49和豫麦0籽粒蛋白质含量以40%FC最高,籽粒产量以80%FC最高,且豫麦49产质差异均达显著水平,而豫麦0的产量差异达极显著水平.     

Bayesian identification of admixture events using multilocus molecular markers

Bayesian statistical methods for the estimation of hidden genetic structure of populations have gained considerable popularity in the recent years. Utilizing molecular marker data, Bayesian mixture models attempt to identify a hidden population structure by clustering individuals into genetically divergent groups, whereas admixture models target at separating the ancestral sources of the alleles observed in different individuals. We discuss the difficulties involved in the simultaneous estimation of the number of ancestral populations and the levels of admixture in studied individuals' genomes. To resolve this issue, we introduce a computationally efficient method for the identification of admixture events in the population history. Our approach is illustrated by analyses of several challenging real and simulated data sets. The software (baps), implementing the methods introduced here, is freely available at http://www.rni.helsinki.fi/~jic/bapspage.html.     

Molecules are more than markers: new directions in molecular microbial ecology

Macromolecules such as DNA, RNA, and proteins are widely used to quantify diversity in natural communities, to monitor the dispersal of organisms and their genes, and to trace phylogenetic relationships among organisms. With such widespread use of molecules as markers, it is easy to forget that they perform functions that are integral to the survival of organisms. The structural and functional properties of macromolecules have been intensively studied in genetics, biochemistry, and physiology. These fields, however, have not generally focused on the ecological significance of molecular variation, but instead have used defective variants as tools for identifying structure and function. Understanding the significance of molecular variation for organismal success or failure is a central problem in ecology, one whose solution will require the integration of diverse approaches and perspectives from ecology, molecular biology, genetics, physiology, and evolutionary biology. I review several studies of bacterial populations evolving in simple environments that have begun to integrate these approaches and perspectives in order to examine the consequences of molecular variation for ecological performance.     

利用分子标记分析高粱的遗传多样性及其在种质创新中的应用

分子标记由于能够反映DNA水平上的遗传变异而成为研究遗传多样性的重要方法。本文综述了利用分子标记分析高粱遗传多样性的研究进展,并阐述了遗传多样性分析在种质创新中的应用方向,提出了利用分子标记分析高粱遗传多样性研究中尚需进一步加强的研究内容。     

分子标记技术在蚕学研究中的应用

介绍了近年来DNA分子标记技术在绢丝昆虫的进化及亲缘关系分析、家蚕品种真实性鉴定、家蚕分子连锁图的构建、基因标记和定位等方面应用的重要进展 ,并展望了家蚕分子标记辅助育种的前景     

Functional molecular markers for crop improvement

A tremendous decline in cultivable land and resources and a huge increase in food demand calls for immediate attention to crop improvement. Though molecular plant breeding serves as a viable solution and is considered as “foundation for twenty-first century crop improvement”, a major stumbling block for crop improvement is the availability of a limited functional gene pool for cereal crops. Advancement in the next generation sequencing (NGS) technologies integrated with tools like metabolomics, proteomics and association mapping studies have facilitated the identification of candidate genes, their allelic variants and opened new avenues to accelerate crop improvement through development and use of functional molecular markers (FMMs). The FMMs are developed from the sequence polymorphisms present within functional gene(s) which are associated with phenotypic trait variations. Since FMMs obviate the problems associated with random DNA markers, these are considered as “the holy grail” of plant breeders who employ targeted marker assisted selections (MAS) for crop improvement. This review article attempts to consider the current resources and novel methods such as metabolomics, proteomics and association studies for the identification of candidate genes and their validation through virus-induced gene silencing (VIGS) for the development of FMMs. A number of examples where the FMMs have been developed and used for the improvement of cereal crops for agronomic, food quality, disease resistance and abiotic stress tolerance traits have been considered.     

A new method to estimate relatedness from molecular markers

Four major problems can affect the efficiency of methods developed to estimate relatedness between individuals from information of molecular markers: (i) some of them are dependent on the knowledge of the true allelic frequencies in the base population; (ii) they assume that all loci are unlinked and in Hardy-Weinberg and linkage equilibrium; (iii) pairwise methods can lead to incongruous assignations because they take into account only two individuals at a time; (iv) most are usually constructed for particular structured populations (only consider a few relationship classes, e.g. full-sibs vs. unrelated). We have developed a new approach to estimate relatedness that is free from the above limitations. The method uses a 'blind search algorithm' (actually simulated annealing) to find the genealogy that yield a co-ancestry matrix with the highest correlation with the molecular co-ancestry matrix calculated using the markers. Thus (i and ii) it makes no direct assumptions about allelic frequencies or Hardy-Weinberg and linkage equilibrium; (iii) it always provide congruent relationships, as it considers all individuals at a time; (iv) degrees of relatedness can be as complex as desired just increasing the 'depth' (i.e. number of generations) of the proposed genealogies. Computer simulations have shown that the accuracy and robustness against genotyping errors of this new approach is comparable to that of other proposed methods in those particular situations they were developed for, but it is more flexible and can cope with more complex situations.     

Power of exclusion for parentage verification and probability of match for identity in American Kennel Club breeds using 17 canine microsatellite markers

DNA analysis of microsatellite markers has become a common tool for verifying parentage in breed registries and identifying individual animals that are linked to a database or owner. Panels of markers have been developed in canines, but their utility across and within a wide range of breeds has not been reported. The American Kennel Club (AKC) authorized a study to determine the power to exclude non-parents and identify individuals using DNA genotypes of 17 microsatellite markers in two panels. Cheek swab samples were voluntarily collected at Parent Breed Club National Specialty dog shows and 9561 samples representing 108 breeds were collected, averaging 88.5 dogs per breed. The primary panel of 10 markers exceeded 99% power of exclusion for canine parentage verification of 61% of the breeds. In combination with the secondary panel of seven markers, 100% of the tested breeds exceeded 99% power of exclusion. The minimum probability match rate of the first panel was 3.6 x 10(-5) averaged across breeds, and with the addition of the second panel, the probability match rate was 3.2 x 10(-8); thus the probability of another random, unrelated dog with the same genotype is very low. The results of this analysis indicated that, on average, the primary panel meets the AKC's needs for routine parentage testing, but that a combination of 10-15 genetic markers from the two panels could yield a universal canine panel with enhanced processing efficiency, reliability and informativeness.     

The effectiveness of using co-dominant polymorphic allelic series for (1) checking pedigrees and (2) distinguishing full-sib pair members

Formulae express the effectiveness of parentage exclusion tests and differences separating full-sib pairs by compounding genotypic information on discrete examples of co-dominant alleles segregating at gene loci on different autosomes. Such polymorphisms occur among structural genes and polymorphic DNA sequences. Two general formulae state the theoretical effectiveness of using co-dominant alleles for (1) testing parentage and (2) distinguishing sibs. The formula for parentage exclusion tates the probability (P_E) that a given series of co-dominant alleles of known frequency should detect a falsely recorded father (or mother). The other formula describes how genetic polymorphism can distinguished closely related individuals. It states the probability (P_S) that alleles distinguish the members of full-sib pairs, dizygotic twins and tissue chimeras. To derive the two general formulae, particular formulae were calculated for n = 2,3 and 4 co-dominant alleles. By increasing the numbers of alleles, the formulae were seen to contain recurrent patterns which were then expressed in the two general formulae for n alleles. Some examples demonstrate applications of the two formulae in problems concerning parentage and sibship.     

Genetic relationship of Porteresia coarctata Tateoka using molecular markers

ABSTRACT

Twenty-one species belonging to Oryza, including wild rices, were compared with a tetraploid (2n=48) halophytic wild rice relative, Porteresia coarctata Tateoka (=Oryza coarctata) for the genetic relatedness using AFLP and RAPD markers. Diploid and tetraploid groups were clearly separated except in the case of a few species where the clustering was unique and different. The molecular analysis has helped in positioning Porteresia in the vicinity of other wild rice species, and to better understand the pattern of species differentiation in Oryza. From our study, O. australiensis seems to be related to P. coarctata; thus, O. australiensis may be an effective “bridge” species in transferring genetic traits from P. coarctata to O. sativa. The usefulness of molecular marker systems for studying polymorphism and classification, and in clarifying genetic relationships between wild species has been confirmed.     

DNA分子标记在雌雄异株植物性别鉴定中的应用

雌雄异株植物中不同性别的植株所产生的经济效应和生态效应存在一定的差异,在生产实践中,选取适宜性别的植株进行栽培有助于提高效率,避免不必要的浪费。然而,性别鉴定的常用方法大多是根据表型、代谢产物含量及活性等方面的差异,在成株阶段进行的,鉴定结果的可靠性和准确性都有一定的局限。近几年,DNA分子标记技术应用于雌雄异株植物的性别鉴定研究中,获得了快速准确的鉴定结果。在比较常用性别鉴定方法的基础上,主要就常用DNA分子标记在雌雄异株植物性别鉴定中的研究进展做一概述并对该领域的研究提出展望。     

DNA分子标记在果树遗传育种研究中的应用

DNA分子标记是随着分子生物学技术的发展出现的一类重要的遗传标记,近年来发展非常迅速,已在果树遗传育种研究的各个方面得到广泛的应用。介绍了几种DNA分子标记技术的原理,综述了DNA分子标记在果树种质资源研究、分子遗传图谱构建、基因定位、分子辅助选择等方面的应用,并对其在果树上的应用前景和存在问题进行了评述。     

Using molecular markers to determine barleys most suitable for malt whisky distilling

Two barley quality characters of specific interest to whisky distillers are fermentability and production of the ethyl carbamate precursor, epi-heterodendrin. The former is a quantitative trait, while the latter may be determined by a single Mendelian genetic factor. Molecular markers have been used to map, to barley chromosome 5(1H), the locus responsible for epi-heterodendrin synthesis and the inheritance of this character and a closely linked microsatellite have been followed through the pedigrees of several contemporary cultivars. Six loci, which affected fermentability in random inbred lines from a barley cross, have been mapped to chromosomes 2(2H), 3(3H) and 7(5H). This would permit the use of molecular markers in a breeding programme, to select barleys best suited for distilling. In addition, one of the loci related to fermentability mapped to an area of the genome indicated, by a previous study, to affect the activity of β-amylase, a character likely to influence fermentability. Molecular markers may, therefore, be powerful tools in exploring the contribution and detecting the mode of action of the genetical components influencing malt whisky distilling. This revised version was published online in June 2006 with corrections to the Cover Date.     

Parentage testing in alpacas (Vicugna pacos) using semi-automated fluorescent multiplex PCRs with 10 microsatellite markers

The aim of this study was to assess and apply a microsatellite multiplex system for parentage determination in alpacas. An approach for parentage testing based on 10 microsatellites was evaluated in a population of 329 unrelated alpacas from different geographical zones in Perú. All microsatellite markers, which amplified in two multiplex reactions, were highly polymorphic with a mean of 14.5 alleles per locus (six to 28 alleles per locus) and an average expected heterozygosity ( H _E) of 0.8185 (range of 0.698–0.946). The total parentage exclusion probability was 0.999456 for excluding a candidate parent from parentage of an arbitrary offspring, given only the genotype of the offspring, and 0.999991 for excluding a candidate parent from parentage of an arbitrary offspring, given the genotype of the offspring and the other parent. In a case test of parentage assignment, the microsatellite panel assigned 38 (from 45 cases) offspring parentage to 10 sires with LOD scores ranging from 2.19 × 10⁺¹³ to 1.34 × 10⁺¹⁵ and Δ values ranging from 2.80 × 10⁺¹² to 1.34 × 10⁺¹⁵ with an estimated pedigree error rate of 15.5%. The performance of this multiplex panel of markers suggests that it will be useful in parentage testing of alpacas.     

基于DNA分子标记的花粉流动态分析

花粉介导的基因流是植物有性繁殖世代之间的桥梁, 花粉散布属性是植物繁殖生态学、保护生物学和进化生物学研究关注的焦点。随着DNA分子技术的发展, 花粉流分析所使用的分子标记(尤其是微卫星标记)逐步替代了早期物理标记, 基于最大似然法估计以及新兴的基于贝叶斯推断的父本指派算法的发展, 能有效地估计花粉流散布的方向、距离和强度等重要特征。花粉散布曲线由单一参数向多参数模型发展, 以更好地获得花粉散布特征的拟合效果, 双组分的复合模型利用相互独立的参数空间使得散布曲线在长距离和短距离形状上呈现更大的可塑性。这些革新的技术和方法被成功应用于植物性别表型、隔离种群和杂交物种间花粉流分析, 以探讨进化、生态和保护等多领域的基础理论问题。近年来, 高通量测序技术的发展将进一步加快以分子标记为基础的花粉流动态分析在更广泛的植物类群中运用。     

Implementation of a parentage control system in Portuguese beef-cattle with a panel of microsatellite markers

A study was conducted to assess the feasibility of applying a panel of 10 microsatellite markers in parentage control of beef cattle in Portugal. In the first stage, DNA samples were collected from 475 randomly selected animals of the Charolais, Limousin and Preta breeds. Across breeds and genetic markers, means for average number of alleles, effective number of alleles, expected heterozygosity and polymorphic information content, were 8.20, 4.43, 0.733 and 0.70, respectively. Enlightenment from the various markers differed among breeds, but the set of 10 markers resulted in a combined probability above 0.9995 in the ability to exclude a random putative parent. The marker-set thus developed was later used for parentage control in a group of 140 calves from several breeds, where there was the suspicion of possible faulty parentage recording. Overall, 76.4% of the calves in this group were compatible with the recorded parents, with most incompatibilities due to misidentification of the dam. Efforts must be made to improve the quality of pedigree information, with particular emphasis on information recorded at the calf's birth.     

Comparison of microsatellites and amplified fragment length polymorphism markers for parentage analysis

This study compares the properties of dominant markers, such as amplified fragment length polymorphisms (AFLPs), with those of codominant multiallelic markers, such as microsatellites, in reconstructing parentage. These two types of markers were used to search for both parents of an individual without prior knowledge of their relationships, by calculating likelihood ratios based on genotypic data, including mistyping. Experimental data on 89 oak trees genotyped for six microsatellite markers and 159 polymorphic AFLP loci were used as a starting point for simulations and tests. Both sets of markers produced high exclusion probabilities, and among dominant markers those with dominant allele frequencies in the range 0.1-0.4 were more informative. Such codominant and dominant markers can be used to construct powerful statistical tests to decide whether a genotyped individual (or two individuals) can be considered as the true parent (or parent pair). Gene flow from outside the study stand (GFO), inferred from parentage analysis with microsatellites, overestimated the true GFO, whereas with AFLPs it was underestimated. As expected, dominant markers are less efficient than codominant markers for achieving this, but can still be used with good confidence, especially when loci are deliberately selected according to their allele frequencies.     

Immunoquantification of flavodoxin and ferredoxin from Scenedesmus vacuolatus (Chlorophyta) as iron-stress molecular markers

Quantification of the iron nutritional status of phytoplankton is of great interest not only for the study of the oceans but also for fresh waters. Flavodoxin is a small flavoprotein proposed as a molecular marker for iron stress, since it is induced as a consequence of iron deprivation, replacing the iron-sulphur protein ferredoxin. Flavodoxin and ferredoxin from Scenedesmus vacuolatus have been immunoquantified in cells grown under different iron nutritional conditions. Flavodoxin and ferredoxin levels correlate with the iron availability, and the calculated flavodoxin index can be used as an iron-stress marker. Other physiological parameters such as copper deficiency, heterotrophic or mixotrophic growth, nitrogen source and salt stress were also tested as potential factors influencing flavodoxin expression. Salt stress and heterotrophic growth conditions alter flavodoxin and ferredoxin expression. Once flavodoxin expression is repressed by iron (and severe deficiency alleviated), S.vacuolatus still increases its ferredoxin from 0·5 to 1·6 mol of ferredoxin per mole of ferredoxin-NADP⁺ reductase, and this ratio can be used for the evaluation of mild deficiency.     

Analysis of arthropod bloodmeals using molecular genetic markers

Little is known about the transmission dynamics of human malaria and other vector-borne diseases, partly because of the limited availability and distribution of appropriate tools for quantifying human-mosquito contact rates. Recent developments in molecular biology have allowed a significant increase in the efficacy and reliability of bloodmeal identification, and DNA-based molecular markers are now being harnessed for typing arthropod bloodmeals. The extent to which these markers have been used for analysis of mosquito bloodmeals and the potential they might have for the future is discussed, and the contributions that the advent of PCR has made are examined here.