RAPD分子标记及其在作物遗传育种中的应用

ＲＡＰＤ分子标记是一种新型的分了遗传标记,其原理是采用１０个碱基的随机引物,以基因组ＤＮＡ为模板进行ＰＣＲ随机扩增。其优越性在于其方法简单;分析中的花费少,用时短;分析所需的ＤＮＡ用量也不多等。本文着重介绍以电泳技术和ＰＣＲ扩增技术为核心的分子标记以及在农作物遗传育种中的应用。     

SSR分子标记在作物遗传育种中的应用

SSR(simple sequence repeat)是建立在PCR技术上的一种广泛应用的分子标记,具有含量丰富、多态性高、共显性等优点。本文简要介绍了SSR分子标记技术的原理和特点,重点介绍了SSR分子标记技术在作物遗传育种中的应用,主要在作物遗传多样性、基因定位、分子辅助标记、遗传图谱构建、品种鉴定和纯度鉴定等方面进行阐述。     

分子标记及其在植物遗传育种中的应用

遗传标记可以说是生物群体中可识别的遗传多态性的一种表现形式。随着遗传研究特别是遗传作图的不断深入,遗传标记已从传统的以等位基因的表型识别为基础的形态标记、以染色体的结构和数目为特征的细胞学标记,及具有组织、发育及物种特异性的同工酶标记,拓展到目前已广泛应用的以ＤＮＡ多态性为基础的分子标记技术。现代分子标记技术的出现和发展为植物遗传育种研究的许多领域注入了新的活力。本文着重就目前植物遗传育种中所应用的一些主要分子标记技术及其应用作一概述。１　常用的分子标记技术自８０年代初有人提出用ＲＦＬＰ作为遗传…     

分子标记在黄瓜遗传育种研究中的应用

综述了分子标记在黄瓜遗传育种中应用的几个方面：１、分子标记遗传图谱的建立及基因定位;２、亲缘关系和遗传多样性的研究;３、分子标记辅助选择;４、品种纯度鉴定     

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。     

分子标记在茶树遗传育种上的应用

综述了近年来分子标记在茶树种质资源和品种鉴别、遗传多样性、遗传演化、遗传稳定性及分子遗传图谱构建等方面的应用 ,并展望了其应用前景。     

SRAP分子标记在园林植物遗传育种中的应用

相关序列扩增多态性(sequence-related amplified polymorphism,SRAP)分子标记作为一种新型的分子标记技术,以其多态性高、稳定性高、重复性好、操作简便、效率高及成本低等优点,已经在园林植物中广泛应用.简单介绍SRAP标记的原理和特点,综述其目前在遗传多样性评析、亲缘关系分析、遗传图谱构建、种质资源鉴定及基因克隆与基因定位等方面的研究进展,并对该标记在园林植物的遗传育种的应用前景进行了展望.     

SRAP标记及其在植物遗传育种中的应用

SRAP标记是基于选择性扩增开放性阅读框的新型分子标记,具有简便、高效、重复性好、高共显性等优点,在植物育种中已经得到广泛应用.本文介绍了SRAP标记基本原理和特点,对SRAP标记在遗传多样性研究、遗传连锁图谱构建、比较基因组以及分子标记辅助选择育种等方面的应用进行了综述.     

RAPD分子标记及其在油茶遗传育种研究中的应用（综述）

分子标记是一种新型的遗传标记,为林木遗传育种研究提供了新的手段,并在缩短育种周期、提高育种效益等方面展现出广阔的应用前景.本文介绍了RAPD分子标记原理、特点及其在油茶遗传育种研究中的应用现状与前景.     

Cassava genetic resources and their utilization for breeding of the crop

Wild cassava relatives are perennials and vary in growth pattern from nearly acaulescent subshrubs to small trees. They have been used as a source of useful characters such as high protein content, apomixis, resistance to mealybug and mosaic disease, and tolerance to drought. Indigenous clones are a potential source of beta-carotene and lycopene. Apomixis genes have been transferred to the crop successfully through interspeci fi c hybridization, and apomictic clones arising from these hybrids are now being grown at the Universidade de Brasília. Interspeci fi c hybrids produced earlier were polyploidized and had their fertility restored. Different useful types of chimera were also produced.     

中国野生稻遗传资源的保护及其在育种中的利用

我国有三种野生稻,即普通野生稻(Oryza rufipogon)、药用野生稻(O.officinalis)和瘤粒野生稻(O.meyeriana)。这三种野生稻均被列为国家二级保护植物(渐危种)。调查结果表明,野生稻由于其自然群落大量丧失而濒危,濒危程度为普通野生稻>药用野生稻>瘤粒野生稻。造成濒危的主要原因是人为的破坏活动。人类的经济活动导致了野生稻生境丧失、生境质量不断恶化、栖息地越来越少;人类的活动也导致了外来种的入侵。目前,对野生稻的保护措施主要有就地保护(原地保护或原位保护)和迁地保护(易地保护或异位保护)。易地保护包括以种子保存的种质厍、以种茎保存的种质圃和以器官培养物作为材料的超低温保存。野生稻具有许多优良特性,如特强的耐寒性、高的抗病虫性、优质蛋白质含量高、功能叶片耐衰老的特异性、特强的再生性、良好的繁茂性及生长优势等等,这些优良特性已被广泛用于水稻常规育种和杂交育种中,并取得了巨大的社会效益和经济效益。有关野生稻生物技术方面的研究,如花药培养、原生质培养、体细胞杂交和基因工程等方面已取得了较大的进展。野生稻将在水稻育种中发挥越来越重要的作用。     

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 review on SNP and other types of molecular markers and their use in animal genetics

During the last ten years, the use of molecular markers, revealing polymorphism at the DNA level, has been playing an increasing part in animal genetics studies. Amongst others, the microsatellite DNA marker has been the most widely used, due to its easy use by simple PCR, followed by a denaturing gel electrophoresis for allele size determination, and to the high degree of information provided by its large number of alleles per locus. Despite this, a new marker type, named SNP, for Single Nucleotide Polymorphism, is now on the scene and has gained high popularity, even though it is only a bi-allelic type of marker. In this review, we will discuss the reasons for this apparent step backwards, and the pertinence of the use of SNPs in animal genetics, in comparison with other marker types.     

Development of EST-based SNP and InDel markers and their utilization in tetraploid cotton genetic mapping

Background

Availability of molecular markers has proven to be an efficient tool in facilitating progress in plant breeding, which is particularly important in the case of less researched crops such as cotton. Considering the obvious advantages of single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (InDels), expressed sequence tags (ESTs) were analyzed in silico to identify SNPs and InDels in this study, aiming to develop more molecular markers in cotton.

Results

A total of 1,349 EST-based SNP and InDel markers were developed by comparing ESTs between Gossypium hirsutum and G. barbadense, mining G. hirsutum unigenes, and analyzing 3′ untranslated region (3′UTR) sequences. The marker polymorphisms were investigated using the two parents of the mapping population based on the single-strand conformation polymorphism (SSCP) analysis. Of all the markers, 137 (10.16%) were polymorphic, and revealed 142 loci. Linkage analysis using a BC₁ population mapped 133 loci on the 26 chromosomes. Statistical analysis of base variations in SNPs showed that base transitions accounted for 55.78% of the total base variations and gene ontology indicated that cotton genes varied greatly in harboring SNPs ranging from 1.00 to 24.00 SNPs per gene. Sanger sequencing of three randomly selected SNP markers revealed discrepancy between the in silico predicted sequences and the actual sequencing results.

Conclusions

In silico analysis is a double-edged blade to develop EST-SNP/InDel markers. On the one hand, the designed markers can be well used in tetraploid cotton genetic mapping. And it plays a certain role in revealing transition preference and SNP frequency of cotton genes. On the other hand, the developmental efficiency of markers and polymorphism of designed primers are comparatively low.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-1046) contains supplementary material, which is available to authorized users.     

The estimation of genetic relationships using molecular markers and their efficiency in estimating heritability in natural populations

Molecular marker data collected from natural populations allows information on genetic relationships to be established without referencing an exact pedigree. Numerous methods have been developed to exploit the marker data. These fall into two main categories: method of moment estimators and likelihood estimators. Method of moment estimators are essentially unbiased, but utilise weighting schemes that are only optimal if the analysed pair is unrelated. Thus, they differ in their efficiency at estimating parameters for different relationship categories. Likelihood estimators show smaller mean squared errors but are much more biased. Both types of estimator have been used in variance component analysis to estimate heritability. All marker-based heritability estimators require that adequate levels of the true relationship be present in the population of interest and that adequate amounts of informative marker data are available. I review the different approaches to relationship estimation, with particular attention to optimizing the use of this relationship information in subsequent variance component estimation.