东亚人群毛干蛋白中单氨基酸多态性检测方法建立与个体识别应用

目的 毛干是案件现场常见的生物物证，目前缺少有效的个体识别方法而未能在案件调查和法庭诉讼中发挥作用。毛干蛋白质组中的单氨基酸多态性（SAP）蕴含着个体遗传差异信息，可应用于个体识别。方法 为研究毛干物证SAP个体差异，本文使用离子液体对12份2 cm长的毛干样本（6人，每人2根）经过前处理后，进行LC-MS/MS质谱检测，分析毛干中的蛋白质组成。然后利用自建的东亚人群SAP蛋白质序列数据库，对质谱数据进行搜库分析，依据自建的SAP与SNP对应注释表信息，推导出SAP对应的nsSNP分型，并且与外显子测序nsSNP结果比较，进而验证SAP检测的准确性。最后，利用验证准确的SAP分型进行随机匹配概率的计算。结果 12份样品共计获得321个SAP，每个样本平均为（131±17）个。6人的随机匹配概率数值范围为1.4×10^-4~1.0×10^-9。结论 本文建立了东亚人群毛干蛋白中SAP检测方法，并验证了个体识别应用的能力，为法庭科学中毛干个体识别提供了有力的工具和新的思路。     

SNP分型前的PAGE检测

目的：探讨单核苷酸多态性(single nucleotide polymmphism,SNP)分型前聚丙烯酰胺凝胶电泳(polyaerylamide gel electro—phoresis,PAGE)的作用。方法：对3个DNA片段(DAOA基因的片段E1和E2、RGS4基因的片段S4)的PCR产物先用PAGE分析,然后用变性高效液相色谱(denaturing high performance liquid chromatography,DHPLC)分型,并比对结果。结果：PAGE能将片段E1、E2和S4中同一位点的SNP杂合子样本和纯合子样本区分开来,还能进一步将片段S4中SNP位点的2种不同纯合子样本区分开来。结论：PAGE能提高SNP的检测效率,而且具有成本低,操作简便的特点。     

单管直扩38重祖先信息InDels体系的构建及其在微流控芯片系统的应用

本文基于插入-缺失多态性(insertion-deletion polymorphism,InDel)遗传标记,从相关文献和dbSNP库中筛选出38个在东亚、欧洲、非洲人群中具有等位基因频率差异的祖先来源InDel位点,同时整合Amelogenin位点和Y染色体STR(DYS439)位点,以辅助未知样本的性别鉴定,采用PCR-CE技术构建了可以区分三大洲际人群的单管直接扩增复合检测体系,该体系可与微流控芯片系统相结合,1.7 h内完成DNA样本自动化扩增和电泳分型,利用公共数据库1000Genomes中16个人群1 607名个体的分型数据对筛选的38个InDel位点进行初步评估;同时对构建的38-plex InDels体系的灵敏度、准确性、直接扩增能力进行验证评估;检测5种不同人群的779份样本和215份唾液卡、血卡的直接扩增样本,采用聚类分析和主成分分析方法,评价体系的推断准确性.结果表明该38-plex InDels复合检测体系分型准确,灵敏度达157 pg,能够对唾液卡和血卡直接扩增,可以区分三大洲际人群及其混合人群,能够准确推断待测样本的族群来源、估算祖先成分,且通过集成细胞裂解步骤将有望2h实现"样本进-结果出"式快速自动化InDel分型.     

单核苷酸多态性及其在水稻中的应用(综述)

单核苷酸多态性(single nucleotide polymorphism,SNP)主要是指基因组的DNA由于单个核苷酸的变异所引起的DNA序列多态性。本文介绍SNP的检测方法及其在水稻中的研究进展和应用。     

中国汉族女性TLR7基因主要编码区的全长扩增及多态性分析

目的:扩增TLR7主要编码区外显子3(exon 3)的全长基因片段并进行基因多态性分析,筛选健康人群中TLR7基因的主要SNP位点.方法:采用酚-氯仿抽提方法从28例健康女性血样中提取基因组DNA,采用长片段扩增方法分别扩增TLR7 exon 3区的3个片段,测序、拼接后进行多态性分析.结果:采用LA-Taq酶体系成功扩增TLR7 exon 3区基因片段;经与Genbank数据库中TLR7参考序列比较,我国女性TLR7基因序列高度保守,仅出现了4个点突变,并发现1个SNP位点RS3853839,表现为GG、CG和CC三种基因型.结论:建立了TLR7编码区基因扩增方法,筛选到1个TLR7SNP位点RS3853839,可为分析TLR7多态性与多种病毒感染性疾病的关系提供参考.     

30个祖先信息位点的筛选及应用

摘要：目的 筛选一组祖先信息SNPs位点（AIMs,Ancestry Informative Markers）,构建复合检测体系,用于东亚、欧洲和非洲人群遗传成分描述及个体种族来源推断。方法 以HapMap数据库9个人群的658份样本的分型数据为基础,从30个表型相关基因总共282个SNPs位点中筛选出30个AIMs位点,基于微测序-通用芯片技术构建复合检测体系,并建立人群等位基因频率数据库。使用这组位点分析HapMap数据库中658份人群样本,初步验证位点的区分效能;然后,使用研究构建的体系检验收集的5个人群194份无关个体的DNA样本。最后,通过Structure软件分析获取人群的成分构成以及个体的遗传成分,对个体样本进行种族来源推断。 结果 筛选的30个AIMs位点符合哈迪温伯格平衡（p>0.01）,位点之间没有连锁（r2<0.1）, 658份HapMap数据库样本和194份实验样本的祖先成分分析结果与已知结果完全一致。 结论 本文筛选并建立的30个AIMs位点复合检测体系,能够有效实现东亚、欧洲、非洲人群及混合人群的成分构成和个体遗传成分的分析,有效控制遗传连锁分析中由于人群分层现象带来的误差,也可以用于法医DNA检验中个体祖先来源推断。     

人群变异的分子基础:从单核苷酸多态性到单氨基酸多态性

单核苷酸多态性可以划分为位于基因编码区的SNP和非编码区的SNP两大种类;而在基因编码区的SNP还可以进一步划分为两个亚类:不改变氨基酸序列的同义SNP和改变氨基酸序列的非同义SNP.显然,非同义SNP将导致氨基酸序列的改变,即形成单氨基酸多态性.基于蛋白质组学方法,对亚洲人群血浆样本中的SAP进行了系统研究,发现某一特定SAP在纯合人群和杂合人群中可能与生理或病理性状有着不同的关联.更为重要的是,近期有研究发现,在生物体中广泛存在着RNA序列与DNA序列不一致的现象.导致这种差异的主要原因是在转录水平上存在着规模化的RNA编辑(被称为RNA编辑组,RNA editome).该发现表明,个体拥有的SAP中可能有一部分与基因组SNP无关,而是源于RNA编辑组.进一步推论,可能在翻译水平上存在着不依赖DNA和RNA序列的全新的SAP.     

海洋生物单核苷酸多态性基因分型技术的研究进展

单核苷酸多态性(single nucleotide polymorphism,SNP)是一类广泛分布于基因组中由单个碱基差异引起的DNA序列变异,SNP标记是第三代分子标记的代表。随着大规模测序技术的快速发展,大量的候选SNP位点被发现,候选SNP位点的发掘需要合适的分型技术。从等位基因分型机制、反应方式和检测等位基因方法等方面介绍当前海洋生物SNP分型技术的研究进展,以期为不同试验目的的研究选择合适的SNP分型技术提供参考。     

TLR4基因启动子区多态性及其对蛋白表达的影响

目的:检测中国人群Toll样受体4(Toll-like receptor 4,TLR4)基因5′调控区的单核苷酸多态性(single nucleotidepolymorphisms,SNPs),探讨其与TLR4蛋白表达的关系.方法:采用聚合酶链反应-限制性片段长度多态性法(PCR-RFLP)对正常汉族人群样本TLR4启动子区-2242、-1892和-1837这3个可能有意义的SNP位点进行基因分型,以确定中国人群中TLR4基因启动子区SNP基因型和发生频率.取其中89例全血标本用全血培养模型检测内毒素刺激前后TLR4蛋白的表达变化,进一步探讨TLR4启动子区单核苷酸多态性对其蛋白表达的影响.结果:TLR4启动子区-2242、-1892和-1837这3个可能有意义的SNP住点等位基因频率分别是43.27%、27.70%和42.75%.TLR4蛋白表达检测结果表明内毒素刺激后-2242位点TC与CC基因型TLR4蛋白的表达显著高于TT基因型(P<0.05),其它位点则没有影响.结论:中国汉族人群中TLR4基因启动子区-2242位点可能是脓毒症关联分析重要的遗传标记.     

MTNR1A基因对大白猪和长白猪产仔数的影响

根据MTNR1A基因在GenBank中的已知DNA序列设计了2对引物,采用PCR-SSCP技术在一个大白猪和长白猪群体中进行单核苷酸多态性（single nucleotide polymorphism, SNP）检测,发现了一个SNP位点,并对其不同基因型个体PCR回收产物进行测序。测序结果发现该SNP是由于在+159碱基处（GenBank中序列）发生了G→A的同义突变而引起的。并对该SNP与产仔数进行了关联分析,结果表明该SNP对产仔数有影响。     

SySAP: a system-level predictor of deleterious single amino acid polymorphisms

Single amino acid polymorphisms (SAPs), also known as non-synonymous single nucleotide polymorphisms (nsSNPs), are responsible for most of human genetic diseases. Discriminate the deleterious SAPs from neutral ones can help identify the disease genes and understand the mechanism of diseases. In this work, a method of deleterious SAP prediction at system level was established. Unlike most existing methods, our method not only considers the sequence and structure information, but also the network information. The integration of network information can improve the performance of deleterious SAP prediction. To make our method available to the public, we developed SySAP (a System-level predictor of deleterious Single Amino acid Polymorphisms), an easy-to-use and high accurate web server. SySAP is freely available at http://www.biosino.org/SySAP/and http://lifecenter.sgst.cn/SySAP/.     

Fine-scale north-to-south genetic admixture profile in Shaanxi Han Chinese revealed by genome-wide demographic history reconstruction

The Han Chinese are the world's largest ethnic group residing across China. Shaanxi province in northern China was a pastoral–agricultural interlacing region sensitive to climate change since Neolithic times, which makes it a vital place for studying population dynamics. However, genetic studies of Shaanxi Han are underrepresented due to the lack of high-density sampling and genome-wide data. Here, we genotyped 700 000 single nucleotide polymorphisms (SNPs) in 200 Han individuals from nine populations in Shaanxi and compared with available modern and ancient Eurasian individuals. We revealed a north–south genetic cline in Han Chinese with Shaanxi Han locating at the northern side of the cline. We detected the western Eurasian-related admixture in Shaanxi populations, especially in Guanzhong and Shanbei Han Chinese in proportions of 2%–4.6%. Shaanxi Han were suggested to derive a large part of ancestry (39%–69%) from a lineage that also contributed largely to ancient and present-day Tibetans (85%) as well as southern Han, supporting the common northern China origin of modern Sino-Tibetan-speaking populations and southwestward expansion of millet farmers from the middle-upper Yellow River Basin to the Tibetan Plateau and to southern China. The rest of the ancestry of Shaanxi Han was from a lineage closely related to ancient and present-day Austronesian and Tai-Kadai speaking populations in southern China and Southeast Asia. We also observed a genetic substructure in Shaanxi Han in terms of north–south-related ancestry corresponding well to the latitudes. Maternal mitochondrial DNA and paternal Y-chromosome lineages further demonstrated the aforementioned admixture pattern of Han Chinese in Shaanxi province.     

与疾病相关的非同义单核苷酸多态性预测的研究进展

单核苷酸多态性(single nucleotide polymorphism,SNPs),即在基因组水平上由单个核苷酸的变异而引起的DNA序列多态性变化,具体是指在DNA序列中的单个碱基的变异,其是人类基因组变异种最常见的一种。SNP研究最主要的目的就是对人类表型变异遗传学的理解,尤其是关于人类遗传疾病的研究。而非同义单核苷酸多态性(nsSNPs)是SNPs中的一种,主要是指处于编码区会引起翻译后对应氨基酸序列变化的单核苷酸突变。因为nsSNPs可能会对蛋白质的功能造成影响,被认为是造成人类遗传病的主要原因。因此将与疾病相关的nsSNPs从中性的nsSNPs中区分出来是很重要的。本文根据国内外与疾病相关nsSNPs预测的研究,分析了预测中所涉及到的特征属性,总结了对这些特征进行优化的特征选择方法,并概述了在预测过程中使用的各种分类器。     

Deleterious amino acid polymorphisms in Arabidopsis thaliana and rice

Plant genetic diversity has been mainly investigated with neutral markers, but large-scale DNA sequencing projects now enable the identification and analysis of different classes of genetic polymorphisms, such as non-synonymous single nucleotide polymorphisms (nsSNPs) in protein coding sequences. Using the SIFT and MAPP programs to predict whether nsSNPs are tolerated (i.e., effectively neutral) or deleterious for protein function, genome-wide nsSNP data from Arabidopsis thaliana and rice were analyzed. In both species, about 20% of polymorphic sites with nsSNPs were classified as deleterious; they segregate at lower allele frequencies than tolerated nsSNPs due to purifying selection. Furthermore, A. thaliana accessions from marginal populations show a higher relative proportion of deleterious nsSNPs, which likely reflects differential selection or demographic effects in subpopulations. To evaluate the sensitivity of predictions, genes from model and crop plants with known functional effects of nsSNPs were inferred with the algorithms. The programs predicted about 70% of nsSNPs correctly as tolerated or deleterious, i.e., as having a functional effect. Forward-in-time simulations of bottleneck and domestication models indicated a high power to detect demographic effects on nsSNP frequencies in sufficiently large datasets. The results indicate that nsSNPs are useful markers for analyzing genetic diversity in plant genetic resources and breeding populations to infer natural/artificial selection and genetic drift.     

Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information

Background  

As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational methods that can distinguish disease-causing SAPs from neutral SAPs are needed. Many methods have been developed to distinguish disease-causing SAPs based on both structural and sequence features of the mutation point. One limitation of these methods is that they are not applicable to the cases where protein structures are not available. In this study, we explore the feasibility of classifying SAPs into disease-causing and neutral mutations using only information derived from protein sequence.     

Candidate nsSNPs that can affect the functions and interactions of cell cycle proteins

Nonsynonymous single nucleotide polymorphisms (nsSNPs) alter the encoded amino acid sequence, and are thus likely to affect the function of the proteins, and represent potential disease-modifiers. There is an enormous number of nsSNPs in the human population, and the major challenge lies in distinguishing the functionally significant and potentially disease-related ones from the rest. In this study, we analyzed the genetic variations that can alter the functions and the interactions of a group of cell cycle proteins (n = 60) and the proteins interacting with them (n = 26) using computational tools. As a result, we extracted 249 nsSNPs from 77 cell cycle proteins and their interaction partners from public SNP databases. Only 31 (12.4%) of the nsSNPs were validated. The majority (64.5%) of the validated SNPs were rare (minor allele frequencies < 5%). Evolutionary conservation analysis using the SIFT tool suggested that 16.1% of the validated nsSNPs may disrupt the protein function. In addition, 58% of the validated nsSNPs were located in functional protein domains/motifs, which together with the evolutionary conservation analysis enabled us to infer possible biological consequences of the nsSNPs in our set. Our study strongly suggests the presence of naturally occurring genetic variations in the cell cycle proteins that may affect their interactions and functions with possible roles in complex human diseases, such as cancer.     

A self-developed AIM-InDel panel designed for degraded DNA analysis: Forensic application characterization and genetic landscape investigation in the Han Chinese population

To assist in forensic DNA investigation, we developed a new panel capable of simultaneously amplifying 56 ancestry-informative InDels, three Y-InDels and the Amelogenin locus in one PCR reaction. The fragment lengths of the InDel amplicons in this panel were restricted to <200 bp to benefit degraded DNA analysis. In this study, we explored the efficiency of this new panel for forensic applications in the Han Chinese population, and further shed light on the genetic structures of Han populations. We showed that the new panel could be served as an efficient tool for ancestry inference of intercontinental populations. Especially, the Han individuals in different regions could be 100% correctly predicted to be of East Asian origin with this new panel. The Han populations in different regions shared similar ancestry components in their genetic structures. Besides, we also revealed that the new panle could be useful for individual identification in different Han Chinese populations. In conclusion, we have provided the necessary evidence that the self-constructed new panel could play an important role in forensic DNA investigation.