基因组拷贝数变异研究进展

基因组结构变异分为两个层次:显微水平(microscopic)和亚显微水平(submicroscopic)。显微水平的基因组结构变异主要是指显微镜下可见的染色体畸变,包括整倍体或非整倍体、缺失、插入、倒位、易位、脆性位点等结构变异。亚显微水平的基因组结构变异是指DNA片段长度在1Kb-3Mb的基因组结构变异,包括缺失、插入、重复、重排、倒位、DNA拷贝数目变化(copy numbervariation,CNV),这些统称为CNV或者CNP(copy number polymorphisms,CNP)。对CNV的研究能够帮助研究者建立遗传检测假说,进而发现疾病易感基因,同时加深对表型变异的理解,为今后研究人类生物功能、进化、疾病奠定基础。本文主要从CNV的研究历史、分子机制、研究方法、研究意义等四个方面进行综述.。     

拷贝数变异的全基因组关联分析

基因组拷贝数变异(copy number variations,CNVs)是指与基因组参考序列相比,基因组中≥1 kb的DNA片段插入、缺失和/或扩增,及其互相组合衍生出的复杂变异．由于其具有分布范围广、可遗传、相对稳定和高度异质性等特点,目前认为,CNVs是一种新的可以作为疾病易感标志的基因组DNA多态性,其变异引起的基因剂量改变可以导致表型改变．最近,一种基于CNVs的新的疾病易感基因鉴定策略——CNV全基因组关联分析开始出现,这一策略和传统的基于单核苷酸多态性的关联分析具有互补性,通过认识基因组结构变异可以认识复杂疾病的分子机制和遗传基础．     

高通量测序数据的基因组拷贝数变异检测方法综述

拷贝数变异是指基因组中发生大片段的DNA序列的拷贝数增加或者减少。根据现有的研究可知,拷贝数变异是多种人类疾病的成因,与其发生与发展机制密切相关。高通量测序技术的出现为拷贝数变异检测提供了技术支持,在人类疾病研究、临床诊疗等领域,高通量测序技术已经成为主流的拷贝数变异检测技术。虽然不断有新的基于高通量测序技术的算法和软件被人们开发出来,但是准确率仍然不理想。本文全面地综述基于高通量测序数据的拷贝数变异检测方法,包括基于reads深度的方法、基于双末端映射的方法、基于拆分read的方法、基于从头拼接的方法以及基于上述4种方法的组合方法,深入探讨了每类不同方法的原理,代表性的软件工具以及每类方法适用的数据以及优缺点等,并展望未来的发展方向。     

基因组拷贝数变异及其突变机理与人类疾病

拷贝数变异(Copy number variation,CNV)是由基因组发生重排而导致的,一般指长度为1 kb以上的基因组大片段的拷贝数增加或者减少,主要表现为亚显微水平的缺失和重复。CNV是基因组结构变异(Structural variation,SV)的重要组成部分。CNV位点的突变率远高于SNP(Single nucleotide polymorphism),是人类疾病的重要致病因素之一。目前,用来进行全基因组范围的CNV研究的方法有:基于芯片的比较基因组杂交技术(array-based comparative genomic hybridization,aCGH)、SNP分型芯片技术和新一代测序技术。CNV的形成机制有多种,并可分为DNA重组和DNA错误复制两大类。CNV可以导致呈孟德尔遗传的单基因病与罕见疾病,同时与复杂疾病也相关。其致病的可能机制有基因剂量效应、基因断裂、基因融合和位置效应等。对CNV的深入研究,可以使我们对人类基因组的构成、个体间的遗传差异、以及遗传致病因素有新的认识。     

拷贝数变异与疾病的关系及其在动物抗病育种中的应用前景

摘要: 拷贝数变异(Copy number variations, CNVs)主要指大于1 kb以上的DNA片段的缺失、插入、重复等。CNVs广泛存在于人类和其他哺乳动物的基因组中。文章主要介绍了CNVs对人类疾病的影响及其检测技术, 并对CNVs在动物抗病育种中的应用前景进行了展望。由于拷贝数变异对抗病性和易感性的影响至关重要, 因此采用生物技术手段有望将其运用于家畜标记辅助选择、QTL精细定位以及动物优良抗病品种培育当中。     

儿童孤独症与拷贝数变异的研究

儿童孤独症是一种复杂的神经发育性障碍,患儿常表现有认知、情感和行为等多方面的异常,主要临床表现为社会交往障碍,言语交流障碍,重复刻板行为。孤独症多起病于三岁之前,男女发病比例约为4:1,患儿常伴有明显的精神发育迟滞。近年来,其发病率呈现逐年上升的趋势,最新的流行病学调查显示孤独症在美国的患病率约为9.1‰。据公认的假说"常见疾病-常见变异"推测,孤独症的风险等位基因和其他复杂疾病一样,在普通人群中将会变得很常见。由于该病起病早,难以进行早期识别,而且尚无特效药或方法可以彻底治愈这种病症,因而给社会及患儿家庭带来了沉重的负担。目前其发病原因和机制尚不明确,但关于儿童孤独症的双生子研究和家系研究都显示它是一个高度遗传性疾病,而且很多证据都表明孤独症是受多因素影响的遗传性疾病,近年来关于孤独症和拷贝数变异(CNVS)研究的报道越来越多,本文将主要就儿童孤独症的拷贝数变异研究现状和最新进展进行论述。     

遗传变异的又一来源：拷贝数变异

人们很早就发现DNA拷贝数变异与特定染色体重组和基因组异常相关这一现象,但最近才知道它与疾病的相关联系。我们对拷贝数变异的原理、最新研究方法,及其与复杂疾病的相关性研究等进展进行了综述;总结了拷贝数变异研究所存在的问题;对拷贝数变异未来的研究重点和需要解决的问题进行了展望。     

基因组分型技术的发展和应用

伴随着人类基因组计划、人类单倍型图谱和人类拷贝数变异图谱的完成, 基因分型技术获得了长足的发展, 同时促进了对复杂性状疾病的研究. 本文结合国家人类基因组南方研究中心的发展和研究项目, 介绍了目前国际上广泛应用的几种基因分型技术, 及国内外复杂性状疾病遗传研究的突破和进展.     

APOBEC3基因拷贝数变异与乳腺癌易感性的关联

为了探讨APOBEC3基因缺失拷贝数变异的多态性与汉族女性乳腺癌易感性的关联性,本研究应用聚合酶链式反应-限制性多态性内切酶技术检测281例乳腺癌和292例正常对照组。我们发现APOBEC3基因拷贝数变异位点的等位基因、基因型频率分布在乳腺癌和对照组之间比较有显著性差异(p<0.05),校正混杂因素后基因型Del/Del,Del/Ins,显性模型和加性模型下对乳腺癌的风险预测值分别为2.753 (95%Cl:1.363～3.560; p=0.005)、1.462(95%Cl:1.021～2.094; p=0.038)、2.282(95%Cl:1.155～3.508; p=0.018)和1.596(95%Cl:1.129～2.256; p=0.008)。研究表明APOBEC3基因的缺失变异位点多态性与乳腺癌的发病风险存在关联,等位基因del是乳腺癌发病的危险因素。本研究的结果可以为本地区群体的乳腺癌易感基因的筛选以及评估易感基因对患病的风险程度提供参考数据,为乳腺癌的防治、诊断和个体化治疗研究提供了帮助。     

新一代测序的拷贝数变异检测算法研究与设计

基于不同的测序技术,基因拷贝数变异的检测方法有多种,但时间复杂度较高,而新一代测序技术的发展为基因拷贝数变异检测的研究开辟了新领域。通过仿真实验、置换检验设计出一种新的基于新一代测序的拷贝数变异检测算法。不同于其它算法,本算法无需参考样本,通过直接研究比对后的序列以及reads与拷贝数的关系,来研究检测拷贝数变异,实验结果表明在时间复杂度上能提高50%以上的运算速度,这对今后拷贝数与疾病的研究具有重要意义。     

拷贝数目变异:基因组遗传变异的新诠释

拷贝数目变异(copy-number variant, CNV)也称拷贝数目多态(copy-number polymorphism, CNP), 是一种大小介于1 kb至3 Mb的DNA片段的变异, 在人类基因组中广泛分布, 其覆盖的核苷酸总数大大超过单核苷酸多态性(single nucleotide polymorphisms, SNPs)的总数, 极大地丰富了基因组遗传变异的多样性。CNV对于物种特异的基因组构成、物种的演化和系统发育以及基因组某些特定区域基因的表达和调控可能具有非常重要的生物学意义。本文从CNV的多态性、CNV的检测方法、CNV的多态性与表型的关联分析以及CNV的进化四个方面综述了CNV的研究成果, 并就CNV在动物基因组中的研究进行了展望。     

DHPC: a new tool to express genome structural features

The DHPC (DNA Hilbert-Peano curve) is a new tool for visualizing large-scale genome sequences by mapping sequences into a two-dimensional square. It utilizes the space-filling function of Hilbert-Peano mapping. By applying a Gauss smoothing technique and a user-defined color function, a large-scale genome sequence can be mapped into a two-dimensional color image. In the calculated DHPCs, many genome characteristics are revealed. In this article we introduce the method and show how DHPCs may be used to identify regions of different base composition. The power of the method is demonstrated by presenting multiple examples such as repeating sequences, degree of base bias, regions of homogeneity and their boundaries, and mark of annotated segments. We also present several genome curves generated by DHPC to demonstrate how DHPC can be used to find previously unidentified sequence features in these genomes.     

Towards a comprehensive structural variation map of an individual human genome

Background

Several genomes have now been sequenced, with millions of genetic variants annotated. While significant progress has been made in mapping single nucleotide polymorphisms (SNPs) and small (<10 bp) insertion/deletions (indels), the annotation of larger structural variants has been less comprehensive. It is still unclear to what extent a typical genome differs from the reference assembly, and the analysis of the genomes sequenced to date have shown varying results for copy number variation (CNV) and inversions.

Results

We have combined computational re-analysis of existing whole genome sequence data with novel microarray-based analysis, and detect 12,178 structural variants covering 40.6 Mb that were not reported in the initial sequencing of the first published personal genome. We estimate a total non-SNP variation content of 48.8 Mb in a single genome. Our results indicate that this genome differs from the consensus reference sequence by approximately 1.2% when considering indels/CNVs, 0.1% by SNPs and approximately 0.3% by inversions. The structural variants impact 4,867 genes, and >24% of structural variants would not be imputed by SNP-association.

Conclusions

Our results indicate that a large number of structural variants have been unreported in the individual genomes published to date. This significant extent and complexity of structural variants, as well as the growing recognition of their medical relevance, necessitate they be actively studied in health-related analyses of personal genomes. The new catalogue of structural variants generated for this genome provides a crucial resource for future comparison studies.     

基于高通量测序技术的基因组结构变异检测算法

基因组结构变异的检测是生物信息学的重要方向之一.本文分别对基于高通量测序技术的双末端映射方法、映射分布方法、分裂片段方法和序列拼接方法等检测技术的四种算法进行详细的解读和说明,阐述了以上四种方法两两结合的检测算法,并分析了各种检测方法的性能和适用的条件,说明混合结合的方法将会成为未来发展的方向.     

Complex pattern of genome size variation in a polymorphic member of the Asteraceae

Aim  Although divergences in nuclear DNA content among different species within a genus are widely acknowledged, intraspecific variation is still a somewhat controversial issue. The aim of this study was to assess genome size variation in the polymorphic species Picris hieracioides L. (Asteraceae) and to search for potential interpretations of the size heterogeneity.
Location  Europe.
Methods  The genome sizes of 179 plants of P. hieracioides collected from 54 populations distributed across 10 European countries were determined by propidium iodide flow cytometry. Differences in nuclear DNA content were confirmed in simultaneous analyses.
Results  2C-values (population means) at the diploid level varied from 2.26 to 3.11 pg, spanning a 1.37-fold range. The variation persisted even after splitting the whole data set into two recently distinguished morphotypes (i.e. the 'Lower altitude' type and the 'Higher altitude' type) that possess significantly different nuclear DNA contents. Cluster analysis revealed the presence of three major groups according to genome size, which exhibited a particular geographical pattern. Generally, the genome size of both morphotypes increased significantly from south-west to north-east. A new cytotype, DNA triploid, was found for the first time.
Main conclusions  High intraspecific variation in the amount of nuclear DNA in P. hieracioides correlates with the extensive morphological variation found within the taxon. Despite the complex pattern that was presented, genome size variants were non-randomly distributed and reflected palaeovegetation history. We suggest that the complex evolutionary history of P. hieracioides (e.g. the existence of several cryptic lineages with different levels of cross-interactions) is the most plausible explanation for the observed heterogeneity in genome size.     

Altitudinal variation in sexual dimorphism: a new pattern and alternative hypotheses

The colder climate and disjunct distribution of nesting andforaging habitats at high elevations increases the necessityof biparental care for successful breeding in birds. If differencesin parental investment between the sexes correlate with intensityof sexual selection, the intensity of sexual selection shouldcovary with ecological factors associated with elevation. Iused sexual dimorphism as an indirect measure of intensity ofsexual selection and examined variation in sexual dimorphismin 126 extant species of cardueline finches. I controlled forphylogeny and potential confounding factors and tested the predictionthat the extent of sexual dimorphism negatively covaries withelevation of breeding. As predicted, interspecific variationin sexual dimorphism was more strongly associated with changesin elevation than with habitat, nest dispersion and placement,and migratory status. Species occupying lower elevations weremore sexually dimorphic in plumage than species at higher elevations.This variation was largely due to increased brightness of maleplumage at lower elevations. I address possible explanationsof this trend, which may include increased opportunities forextrapair fertilizations at lower elevations, an increase inthe cost of secondary sexual trait production (i.e., molt) andmaintenance at high elevations, and elevational variation inpredation pressure     

Karyotype diversity and genome size variation in Neotropical Maxillariinae orchids

• Orchidaceae is a widely distributed plant family with very diverse vegetative and floral morphology, and such variability is also reflected in their karyotypes. However, since only a low proportion of Orchidaceae has been analysed for chromosome data, greater diversity may await to be unveiled. Here we analyse both genome size (GS) and karyotype in two subtribes recently included in the broadened Maxillariinea to detect how much chromosome and GS variation there is in these groups and to evaluate which genome rearrangements are involved in the species evolution.
• To do so, the GS (14 species), the karyotype – based on chromosome number, heterochromatic banding and 5S and 45S rDNA localisation (18 species) – was characterised and analysed along with published data using phylogenetic approaches.
• The GS presented a high phylogenetic correlation and it was related to morphological groups in Bifrenaria (larger plants – higher GS). The two largest GS found among genera were caused by different mechanisms: polyploidy in Bifrenaria tyrianthina and accumulation of repetitive DNA in Scuticaria hadwenii. The chromosome number variability was caused mainly through descending dysploidy, and x=20 was estimated as the base chromosome number.
• Combining GS and karyotype data with molecular phylogeny, our data provide a more complete scenario of the karyotype evolution in Maxillariinae orchids, allowing us to suggest, besides dysploidy, that inversions and transposable elements as two mechanisms involved in the karyotype evolution. Such karyotype modifications could be associated with niche changes that occurred during species evolution.