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.     

Identification of 142 single nucleotide polymorphisms in 41 candidate genes for rheumatoid arthritis in the Japanese population

Single-nucleotide polymorphisms (SNPs) can make an important contribution to our understanding of genetic backgrounds that may influence medical conditions and ethnic diversity. We undertook a systematic survey of genomic DNA for SNPs located not only in coding sequences but also in non-coding regions (e.g., introns and 5' flanking regions) of selected genes. Using DNA samples from 48 Japanese patients with rheumatoid arthritis (RA) as templates, we surveyed 41 genes that represent candidates for RA, screening a total of 104 kb of DNA (30 kb of coding sequences and 74 kb of non-coding DNA). Within this 104 kb of genomic sequences we identified 163 polymorphisms (1 per 638 bases on average), of which 142 were single-nucleotide substitutions and the remainder, insertions or deletions. Of the coding SNPs, 52% were non-synonymous substitutions, and non-conservative amino acid changes were observed in a quarter of those. Sixty-nine polymorphisms showed high frequencies for minor alleles (more than 15%) and 20 revealed low frequencies (<5%). Our results indicated a greater average distance between SNPs than others have reported, but this disparity may reflect the type of genes surveyed and/or the relative ethnic homogeneity of our test population.     

Association mapping in forest trees and fruit crops

Association mapping (AM), also known as linkage disequilibrium (LD) mapping, is a viable approach to overcome limitations of pedigree-based quantitative trait loci (QTL) mapping. In AM, genotypic and phenotypic correlations are investigated in unrelated individuals. Unlike QTL mapping, AM takes advantage of both LD and historical recombination present within the gene pool of an organism, thus utilizing a broader reference population. In plants, AM has been used in model species with available genomic resources. Pursuing AM in tree species requires both genotyping and phenotyping of large populations with unique architectures. Recently, genome sequences and genomic resources for forest and fruit crops have become available. Due to abundance of single nucleotide polymorphisms (SNPs) within a genome, along with availability of high-throughput resequencing methods, SNPs can be effectively used for genotyping trees. In addition to DNA polymorphisms, copy number variations (CNVs) in the form of deletions, duplications, and insertions also play major roles in control of expression of phenotypic traits. Thus, CNVs could provide yet another valuable resource, beyond those of microsatellite and SNP variations, for pursuing genomic studies. As genome-wide SNP data are generated from high-throughput sequencing efforts, these could be readily reanalysed to identify CNVs, and subsequently used for AM studies. However, forest and fruit crops possess unique architectural and biological features that ought to be taken into consideration when collecting genotyping and phenotyping data, as these will also dictate which AM strategies should be pursued. These unique features as well as their impact on undertaking AM studies are outlined and discussed.     

SNP-specific extraction of haplotype-resolved targeted genomic regions

The availability of genotyping platforms for comprehensive genetic analysis of complex traits has resulted in a plethora of studies reporting the association of specific single-nucleotide polymorphisms (SNPs) with common diseases or drug responses. However, detailed genetic analysis of these associated regions that would correlate particular polymorphisms to phenotypes has lagged. This is primarily due to the lack of technologies that provide additional sequence information about genomic regions surrounding specific SNPs, preferably in haploid form. Enrichment methods for resequencing should have the specificity to provide DNA linked to SNPs of interest with sufficient quality to be used in a cost-effective and high-throughput manner. We describe a simple, automated method of targeting specific sequences of genomic DNA that can directly be used in downstream applications. The method isolates haploid chromosomal regions flanking targeted SNPs by hybridizing and enzymatically elongating oligonucleotides with biotinylated nucleotides based on their selective binding to unique sequence elements that differentiate one allele from any other differing sequence. The targeted genomic region is captured by streptavidin-coated magnetic particles and analyzed by standard genotyping, sequencing or microarray analysis. We applied this technology to determine contiguous molecular haplotypes across a ~150 kb genomic region of the major histocompatibility complex.     

Expressed sequence tags for the chicken genome from a normalized 10-day-old white leghorn whole-embryo cDNA library. 3. DNA sequence analysis of genetic variation in commercial chicken populations.

Single nucleotide polymorphisms (SNPs) have emerged as a major class of DNA markers with the advantage of permitting the development of high-density genetic maps adequate for quantitative trait loci (QTL) identification by linkage-disequilibrium analysis. Here we describe results of a relatively high-depth survey of chicken broiler and layer populations for SNPs in targeted genomic regions of chicken expressed sequence tag (EST) sites. The sequences scanned, representing the composite sequence of 12 amplified fragments for a total of 6489 bp, were randomly distributed, occurring on six different chromosomes or linkage groups in the chicken genome. Although one of the genomic DNA sequences did not match the reference cDNA sequence, another contained an intron that separated two putative exons. The number of SNPs observed within each of the 12 EST-targeted genomic regions ranged from 0 to 10 for a total of 44 and a frequency of 0.7%. About 70% of the polymorphisms were shared between layer and broiler populations. The average heterozygosity within the populations ranged from 0.15 to 0.48, with the layer populations showing the higher heterozygosity. SNPs and oligonucleotides described will provide a resource for genetic analysis in commercial chicken populations. The data appear to indicate that the relative frequency of SNPs in the targeted regions scanned is higher than the frequency reported for any of the other regions scanned to date in other eukaryotic genomes. Additionally, the results suggest that the use of DNA pools may offer an efficient approach to SNP detection in chickens, as has been shown in other vertebrates.     

Fluorescence detection of single nucleotide polymorphisms using nucleic acid probe containing tricyclic base-linked acyclonucleoside

A reliable and simple method for detecting nucleobase mutations is very important clinically because sequence variations in human DNA cause genetic diseases and genetically influenced traits. A majority of sequence variations are attributed to single nucleotide polymorphisms (SNPs). Here, we developed a method for SNP detection using DNA probes that contained a fluorescent tricyclic base-linked acyclonucleoside N. The type of nucleobases involved in the SNP sites in an RNA target could be determined using four DNA probes containing N. Further, we found that the SNP in the RNA target could be detected by a visible color. Thus, this system would provide a novel and simple method for detecting SNPs in an RNA target.     

Cot-based sampling of genomes for polymorphic low-copy DNA

DNA polymorphisms are powerful tools for many evolutionary and genomic studies in plants including molecular breeding. Single nucleotide polymorphisms (SNPs) are the most elemental DNA marker for genomic studies, but even with advances in DNA sequencing technology, SNP discovery remains costly and computationally demanding, especially in large genomes that are rich in repetitive DNA such as those of many plants. Here we report a method using DNA renaturation kinetics (Cot techniques), sequencing, and BLAST-based screening to identify low-copy, non-coding DNA sequences that were subsequently found to be relatively rich in polymorphisms. A total of of 63 such fragments isolated from a diploid D genome cotton species (Gossypium raimondii) revealed a higher frequency of polymorphisms than that observed for cotton expressed sequence tags or hypomethylated (PstI-susceptible) genomic DNA. While microsatellite-derived loci show still higher polymorphism rates, they often fall in repetitive elements and their sequence analysis is often complicated by alignment difficulties. The potential applications of Cot-filtered noncoding (CFNC) DNA in development of DNA markers are discussed.     

SNP discovery using Paired‐End RAD‐tag sequencing on pooled genomic DNA of Sisymbrium austriacum (Brassicaceae)

Single nucleotide polymorphisms SNPs are rapidly replacing anonymous markers in population genomic studies, but their use in non model organisms is hampered by the scarcity of cost‐effective approaches to uncover genome‐wide variation in a comprehensive subset of individuals. The screening of one or only a few individuals induces ascertainment bias. To discover SNPs for a population genomic study of the Pyrenean rocket (Sisymbrium austriacum subsp. chrysanthum), we undertook a pooled RAD‐PE (Restriction site Associated DNA Paired‐End sequencing) approach. RAD tags were generated from the PstI‐digested pooled genomic DNA of 12 individuals sampled across the species distribution range and paired‐end sequenced using Illumina technology to produce ~24.5 Mb of sequences, covering ~7% of the specie's genome. Sequences were assembled into ~76 000 contigs with a mean length of 323 bp (N₅₀ = 357 bp, sequencing depth = 24x). In all, >15 000 SNPs were called, of which 47% were annotated in putative genic regions based on homology with the Arabidopsis thaliana genome. Gene ontology (GO) slim categorization demonstrated that the identified SNPs covered extant genic variation well. The validation of 300 SNPs on a larger set of individuals using a KASPar assay underpinned the utility of pooled RAD‐PE as an inexpensive genome‐wide SNP discovery technique (success rate: 87%). In addition to SNPs, we discovered >600 putative SSR markers.     

Natural Selection and Functional Potentials of Human Noncoding Elements Revealed by Analysis of Next Generation Sequencing Data

Noncoding DNA sequences (NCS) have attracted much attention recently due to their functional potentials. Here we attempted to reveal the functional roles of noncoding sequences from the point of view of natural selection that typically indicates the functional potentials of certain genomic elements. We analyzed nearly 37 million single nucleotide polymorphisms (SNPs) of Phase I data of the 1000 Genomes Project. We estimated a series of key parameters of population genetics and molecular evolution to characterize sequence variations of the noncoding genome within and between populations, and identified the natural selection footprints in NCS in worldwide human populations. Our results showed that purifying selection is prevalent and there is substantial constraint of variations in NCS, while positive selectionis more likely to be specific to some particular genomic regions and regional populations. Intriguingly, we observed larger fraction of non-conserved NCS variants with lower derived allele frequency in the genome, indicating possible functional gain of non-conserved NCS. Notably, NCS elements are enriched for potentially functional markers such as eQTLs, TF motif, and DNase I footprints in the genome. More interestingly, some NCS variants associated with diseases such as Alzheimer''s disease, Type 1 diabetes, and immune-related bowel disorder (IBD) showed signatures of positive selection, although the majority of NCS variants, reported as risk alleles by genome-wide association studies, showed signatures of negative selection. Our analyses provided compelling evidence of natural selection forces on noncoding sequences in the human genome and advanced our understanding of their functional potentials that play important roles in disease etiology and human evolution.     

Approximation properties of haplotype tagging

Background  

Single nucleotide polymorphisms (SNPs) are locations at which the genomic sequences of population members differ. Since these differences are known to follow patterns, disease association studies are facilitated by identifying SNPs that allow the unique identification of such patterns. This process, known as haplotype tagging, is formulated as a combinatorial optimization problem and analyzed in terms of complexity and approximation properties.     

Single nucleotide polymorphisms in cytochrome P450 genes from barley

Plant cytochrome P450s are known to be essential in a number of economically important pathways of plant metabolism but there are also many P450s of unknown function accumulating in expressed sequence tag (EST) and genomic databases. To detect trait associations that could assist in the assignment of gene function and provide markers for breeders selecting for commercially important traits, detection of polymorphisms in identified P450 genes is desirable. Polymorphisms in EST sequences provide so-called perfect markers for the associated genes. The International Triticeae EST Cooperative data base of 24,344 ESTs was searched for sequences exhibiting homology to P450 genes representing the nine known clans of plant P450s. Seventy five P450 ESTs were identified of which 24 had best matches in Genbank to P450 genes of known function and 51 to P450s of unknown function. Sequence information from PCR products amplified from the genomic template DNA of 11 barley varieties was obtained using primers designed from six barley P450 ESTs and one durum wheat P450 EST. Single nucleotide polymorphisms (SNPs) between barley varieties were identified using five of the seven PCR products. A maximum of five SNPs and three haplotypes among the 11 barley lines were detected in products from any one primer pair. SNPs in three PCR products led to changes between barley varieties in at least one restriction site enabling genotyping and mapping without the expense of a specialist SNP detection system. The overall frequency of SNPs across the 11 barley varieties was 1 every 131 bases.     

First-generation SNP/InDel markers tagging loci for pathogen resistance in the potato genome

A panel of 17 tetraploid and 11 diploid potato genotypes was screened by comparative sequence analysis of polymerase chain reaction (PCR) products for single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (InDels), in regions of the potato genome where genes for qualitative and/or quantitative resistance to different pathogens have been localized. Most SNP and InDel markers were derived from bacterial artificial chromosome (BAC) insertions that contain sequences similar to the family of plant genes for pathogen resistance having nucleotide-binding-site and leucine-rich-repeat domains (NBS-LRR-type genes). Forty-four such NBS-LRR-type genes containing BAC-insertions were mapped to 14 loci, which tag most known resistance quantitative trait loci (QTL) in potato. Resistance QTL not linked to known resistance-gene-like (RGL) sequences were tagged with other markers. In total, 78 genomic DNA fragments with an overall length of 31 kb were comparatively sequenced in the panel of 28 genotypes. 1498 SNPs and 127 InDels were identified, which corresponded, on average, to one SNP every 21 base pairs and one InDel every 243 base pairs. The nucleotide diversity of the tetraploid genotypes (pi = 0.72 x 10(-3)) was lower when compared with diploid genotypes (pi = 2.31 x 10(-3)). RGL sequences showed higher nucleotide diversity when compared with other sequences, suggesting evolution by divergent selection. Information on sequences, sequence similarities, SNPs and InDels is provided in a database that can be queried via the Internet.     

An interactive bovine <Emphasis Type="Italic">in silico</Emphasis> SNP database (IBISS)

An interactive bovine in silico SNP (IBISS) database has been created through the clustering and aligning of bovine EST and mRNA sequences. Approximately 324,000 EST and mRNA sequences were clustered to produce 29,965 clusters (producing 48,679 consensus sequences) and 48,565 singletons. A SNP screening regime was placed on variations detected in the multiple sequence alignment files to determine which SNPs are more likely to be real rather than sequencing errors. A small subset of predicted SNPs was validated on a diverse set of bovine DNA samples using PCR amplification and sequencing. Fifty percent of the predicted SNPs in the putative >1 category were polymorphic in the population sampled. The IBISS database represents more than just a SNP database; it is also a genomic database containing uniformly annotated predicted gene mRNA and protein sequences, gene structure, and genomic organization information.     

Nucleic acid probe containing fluorescent tricyclic base-linked acyclonucleoside for detection of single nucleotide polymorphisms

The development of a reliable and simple method for detecting single nucleotide polymorphisms (SNPs), common genetic variations in the human genome, is currently an important research area because SNPs are important for identifying disease-causing genes and for pharmacogenetic studies. Here, we developed a novel method for SNP detection. We designed and synthesized DNA probes containing a fluorescent tricyclic base-linked acyclonucleoside P. The type of nucleobases involved in the SNP sites in the DNA and RNA targets could be determined using four DNA probes containing P. Thus, this system would provide a novel and simple method for detecting SNPs in DNA and RNA targets.