基因组数据库简介

本文以北京大学生物信息中心安装的3个国际著名基因组数据库GDB、GenoList和Ensembl为基础,介绍目前常用的基因组数据库,包括这些数据数据库的内容、数据格式、使用方法,以及用于构建上述数据库的数据库管理系统。 Abstract:A brief introduction to the genome databases GDB,GenoList and Ensembl is given.These databases,mirrored and maintained at the Centre of Bioinformatics,Peking University,provide useful information for genome research.     

A brief review of short tandem repeat mutation

Short tandem repeats （STRs） are short tandemly repeated DNA sequences that involve a repetitive unit of 1-6 bp. Because of their polymorphisms and high mutation rates, STRs are widely used in biological research. Strand-slippage replication is the predominant mutation mechanism of STRs, and the stepwise mutation model is regarded as the main mutation model. STR mutation rates can be influenced by many factors. Moreover, some trinucleotide repeats are associated with human neurodegenerative diseases. In order to deepen our knowledge of these diseases and broaden STR application, it is essential to understand the STR mutation process in detail. In this review, we focus on the current known information about STR mutation.     

家禽主要组织相容性复合体的研究进展

随着家禽基因组计划的开展,对家禽的主要组织相容性复合体（MHC）的研究取得了较大的进展。关于家禽MHC的各部分基因研究正在逐步深入,并且完成了MHC部分测序和染色体定位工作。 本文介绍近些年来对家禽MHC的基因结构和作用、与抗体的作用以及相关的基因组研究所取得的进展。人、小鼠及其他动物的相关研究结果将对家禽MHC研究的发展产生重要的影响。 Abstract:As the development of poultry genome project,it has been acquired many advances in the study of poultry MHC.At present,we have achieved some MHC sequences 、 locations of MHC on chromosome and some MHC gene functions.This article give a detailed introduction about gene structure of poultry MHC and its role in immune reaction、relation with antibody and advances in poultry genome about MHC.With the development of related research,how to use the result of the study more efficiently become more and more important to the poultry MHC study.     

Human mitochondrial DNA diseases and Drosophila models

Mutations that disrupt the mitochondrial genome cause a number of human diseases whose phenotypic presentation varies widely among tissues and individuals. This variability owes in part to the unconventional genetics of mitochondrial DNA(mtDNA), which includes polyploidy, maternal inheritance and dependence on nuclear-encoded factors. The recent development of genetic tools for manipulating mitochondrial genome in Drosophila melanogaster renders this powerful model organism an attractive alternative to mammalian systems for understanding mtDNA-related diseases. In this review, we summarize mtDNA genetics and human mtDNA-related diseases. We highlight existing Drosophila models of mtDNA mutations and discuss their potential use in advancing our knowledge of mitochondrial biology and in modeling human mitochondrial disorders. We also discuss the potential and present challenges of gene therapy for the future treatment of mtDNA diseases.     

Evidence that Natural Selection is the Primary Cause of the Guanine-cytosine Content Variation in Rice Genes

Cereal genes are classified into two distinct classes according to the guanine-cytosine （GC） content at the third codon sites （GC3）. Natural selection and mutation bias have been proposed to affect the GC content. However, there has been controversy about the cause of GC variation. Here, we characterized the GC content of 1 092 paralogs and other single-copy genes in the duplicated chromosomal regions of the rice genome （ssp. indica） and classified the paralogs into GC3-rich and GC3-poor groups. By referring to out-group sequences from Arabidopsis and maize, we confirmed that the average synonymous substitution rate of the GC3-rich genes is significantly lower than that of the GC3-poor genes. Furthermore, we explored the other possible factors corresponding to the GC variation including the length of coding sequences, the number of exons in each gene, the number of genes in each family, the location of genes on chromosomes and the protein functions. Consequently, we propose that natural selection rather than mutation bias was the primary cause of the GC variation.     

关于“生物体突变抑制机制”的教学探索

本文将《遗传学》教材中有关遗传物质的复制、传递、突变、表达等内容用“生物体的突变抑制机制”贯穿起来,并将其分为细胞、DNA、密码子、修复、细胞质遗传、表达、个体、群体水平上的突变抑制机制进行教学。这种方式有利于学生的理解和思索,收到了很好的教学效果。 Abstract：This paper threads replication, transmission,mutatio n and expression of genetics with “the inhibitory mechanism from mutation for organism”.It is analyzed on the levels of cell,DNA sequence,codon,repair,expr ession, cytoplasmic heredity,individual and population.In this way,it is suitabl e and fruitful for students to understand and speculate the related subject mat ters in teaching genetics.     

The Path to Enlightenment： Making Sense of Genomic and Proteomic Information

Whereas genomics describes the study of genome, mainly represented by its gene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome, which is the protein complement encoded by the genome. In recent years, the number of proteomic experiments increased tremendously. While all fields of proteomics have made major technological advances, the biggest step was seen in bioinformatics. Biological information management relies on sequence and structure databases and powerful software tools to translate experimental results into meaningful biological hypotheses and answers. In this resource article, I provide a collection of databases and software available on the Internet that are useful to interpret genomic and proteomic data. The article is a toolbox for researchers who have genomic or proteomic datasets and need to put their findings into a biological context.     

DNA sequence comparative analysis of the 3pter-p26 region of human genome

Most proterminal regions of human chromosomes are GC-rich and gene-rich. Chromosome 3p is an exception. Its proterminal region is GC-poor, and likely to lose heterozy-gosity, thus causing a number of fatal diseases. Except one gap left in the telomeric position, the proterminal region of human chromosome 3p has been completely sequenced. The detailed sequence analysis showed: (i) the GC content of this region was 38.5%, being the lowest among all the human proterminal regions; (ii) this region contained 20 known genes and 22 predicted genes, with an average gene size of 97.5 kb. The previously mapped gene Cntn3 was not found in this region, but instead located in the 74 Mb position of human chromosome 3p; (iii) the interspersed repeats of this region were more active than the average level of the whole human genome, especially (TA)n, the content of which was twice the genome average; (iv) this region had a conserved synteny extending from 104.1 Mb to 112.4 Mb on the mouse chromosome 6, which was 8% larger in size, not in accordance with the whole genome comparison, probably because the 3pter-p26 region was more likely to lose neocleitides and its mouse synteny had more active interspersed repeats.     

Genome analyses substantiate male mutation bias in many species

In many species the mutation rate is higher in males than in females, a phenomenon denoted as male mutation bias. This is often observed in animals where males produce many more sperm than females produce eggs, and is thought to result from differences in the number of replication-associated mutations accumulated in each sex. Thus, studies of male mutation bias have the capacity to reveal information about the replication-dependent or replication-independent nature of different mutations. The availability of whole genome sequences for many species, as well as for multiple individuals within a species, has opened the door to studying factors, both sequence-specific and those acting on the genome globally, that affect differences in mutation rates between males and females. Here, we assess the advantages that genomic sequences provide for studies of male mutation bias and general mutation mechanisms, discuss major challenges left unresolved, and speculate about the direction of future studies.     

PERSPECTIVE: SPONTANEOUS DELETERIOUS MUTATION

Mildly deleterious mutation has been invoked as a leading explanation for a diverse array of observations in evolutionary genetics and molecular evolution and is thought to be a significant risk of extinction for small populations. However, much of the empirical evidence for the deleterious-mutation process derives from studies of Drosophila melanogaster, some of which have been called into question. We review a broad array of data that collectively support the hypothesis that deleterious mutations arise in flies at rate of about one per individual per generation, with the average mutation decreasing fitness by about only 2% in the heterozygous state. Empirical evidence from microbes, plants, and several other animal species provide further support for the idea that most mutations have only mildly deleterious effects on fitness, and several other species appear to have genomic mutation rates that are of the order of magnitude observed in Drosophila. However, there is mounting evidence that some organisms have genomic deleterious mutation rates that are substantially lower than one per individual per generation. These lower rates may be at least partially reconciled with the Drosophila data by taking into consideration the number of germline cell divisions per generation. To fully resolve the existing controversy over the properties of spontaneous mutations, a number of issues need to be clarified. These include the form of the distribution of mutational effects and the extent to which this is modified by the environmental and genetic background and the contribution of basic biological features such as generation length and genome size to interspecific differences in the genomic mutation rate. Once such information is available, it should be possible to make a refined statement about the long-term impact of mutation on the genetic integrity of human populations subject to relaxed selection resulting from modern medical procedures.     

A resolution of the mutation load paradox in humans

Current information on the rate of mutation and the fraction of sites in the genome that are subject to selection suggests that each human has received, on average, at least two new harmful mutations from its parents. These mutations were subsequently removed by natural selection through reduced survival or fertility. It has been argued that the mutation load, the proportional reduction in population mean fitness relative to the fitness of an idealized mutation-free individual, allows a theoretical prediction of the proportion of individuals in the population that fail to reproduce as a consequence of these harmful mutations. Application of this theory to humans implies that at least 88% of individuals should fail to reproduce and that each female would need to have more than 16 offspring to maintain population size. This prediction is clearly at odds with the low reproductive excess of human populations. Here, we derive expressions for the fraction of individuals that fail to reproduce as a consequence of recurrent deleterious mutation () for a model in which selection occurs via differences in relative fitness, such as would occur through competition between individuals. We show that is much smaller than the value predicted by comparing fitness to that of a mutation-free genotype. Under the relative fitness model, we show that depends jointly on U and the selective effects of new deleterious mutations and that a species could tolerate 10's or even 100's of new deleterious mutations per genome each generation.     

新型冠状病毒进化与变异

本文分析了新型冠状病毒(SARS-CoV-2,新冠病毒)的进化来源及刺突蛋白(spike protein,S)基因的突变情况.从GenBank数据库中下载相关病毒全基因组序列及S基因序列,运用DNAMAN9.0、MEGAX等生物信息学软件,进行多序列比对,构建系统进化树,并统计S基因位点突变情况.分析结果提示,新冠病毒...     

TESTING THE EFFECTS OF MATING SYSTEM VARIATION ON RATES OF MOLECULAR EVOLUTION IN PRIMATES

Post‐copulatory sexual selection has been proposed to drive the rapid evolution of reproductive proteins, and, more recently, to increase genome‐wide mutation rates. Comparisons of rates of molecular evolution between lineages with different levels of female multiple mating represent a promising, but under‐utilized, approach for testing the effects of sperm competition on sequence evolution. Here, I use comparisons between primate species with divergent mating systems to examine the effects of sperm competition on reproductive protein evolution, as well as on sex‐averaged mutation rates. Rates of nonsynonymous substitution are higher for testis‐specific genes along the chimpanzee lineage in comparison to the human lineage, consistent with expectations. However, the data reported here do not allow firm conclusions concerning the effects of mating system on genome‐wide mutation rates, with different results obtained from different species pairs. Ultimately, comparative studies encompassing a range of mating systems and other life history traits will be required to make broad generalizations concerning the genomic effects of sperm competition.     

MutPrimerDesign:用于人类基因编码区域突变位点的引物设计程序

位于基因编码区的DNA突变与基因的功能密切相关。在已知人类基因编码区的突变位点时,如何在基因组上设计引物验证该突变是一个重要的问题。本文利用Python语言开发了引物设计程序MutPrimerDesign。MutPrimerDesign通过解析人类基因组序列数据库以及基因注释信息,转换基因编码区坐标为基因组坐标,并调用Primer3的python程序包接口,可批量自动化完成基因突变位点的引物及探针序列设计。MutPrimerDesign使用简便,可识别多种数据库的基因名称,并能够修改引物常规参数,实现引物的快速调整。     

Nonrandomness of point mutation as reflected in nucleotide substitutions in pseudogenes and its evolutionary implications

Summary We have obtained a revised estimate of the pattern of point mutation by considering more pseudogene sequences. Compared with our previous estimate, it agrees better with expectations based on the double-strand structure of DNA. The revised pattern, like the previous one, indicates that mutation occurs nonrandomly among the four nucleotides. In particular, the proportion of transitional mutations (59%) is almost twice as high as the value (33%) expected under random mutation. The same high proportion of transitions is observed in synonymous substitutions in genes. The proportion of transitional changes observed among electrophoretic variants of human hemoglobin is about the same as that predicted by the revised pattern of mutation. We also show that nonrandom mutation increases, by about 15%, the proportion of synonymous mutations due to single-nucleotide changes in the codon table, and increases, from 10% to 50%, the rate of synonymous mutation in the seven genes studied. However, nonrandom mutation reduces (by about 10%) the proportion of polar changes among nonsynonymous mutations in a gene. As far as single-nucleotide changes (in the codon table) are concerned, nonrandom mutation only slightly favors relatively conservative amino acid interchanges, and has virtually no effect on the proportions of radical changes and nonsense mutations.     

High-Resolution Multipoint Linkage-Disequilibrium Mapping in the Context of a Human Genome Sequence

A new method is presented for fine-scale linkage disequilibrium (LD) mapping of a disease mutation; it uses multiple linked single-nucleotide polymorphisms, restriction-fragment-length polymorphisms, or microsatellite markers and incorporates information from an annotated human genome sequence (HGS) and from a human mutation database. The method takes account of population demographic effects, using Markov chain Monte Carlo methods to integrate over the unknown gene genealogy and gene coalescence times. Information about the relative frequency of disease mutations in exons, introns, and other regions, from mutational databases, as well as assumptions about the completeness of the gene annotation, are used with an annotated HGS, to generate a prior probability that a mutation lies at any particular position in a specified region of the genome. This information is updated with information about mutation location, from LD at a set of linked markers in the region, to generate the posterior probability density of the mutation location. The performance of the method is evaluated by simulation and by analysis of a data set for diastrophic dysplasia (DTD) in Finland. The DTD disease gene has been positionally cloned, so the actual location of the mutation is known and can be compared with the position predicted by our method. For the DTD data, the addition of information from an HGS results in disease-gene localization at a resolution that is much higher than that which would be possible by LD mapping alone. In this case, the gene would be found by sequencing a region < or =7 kb in size.