基因间的同源关系

同源是指从共同祖先的特性遗传下来的通常带有分歧的两个特征之间的关系。同源概念组成了进化基因组学的基础并对功能基因组学有巨大作用,但基于对同源概念的不准确理解,当前对其有诸多模糊表述,因此了解其确切含义具有重要意义。本文就同源、直系同源和旁系同源的概念和性质进行综述。     

基于直向同源序列的比较基因组学研究

直向同源序列在不同的物种中具有相近甚至相同的功能、相似的调控途径, 扮演相似甚至相同的角色, 而且, 绝大多数核心生物功能就是由相当数量的直向同源基因所承担, 它是基因组序列的功能注释与分析中最可靠的选择, 其特殊的生物学特性决定: 利用直向同源序列开展比较基因组学研究, 必将为探测不同生物在进化过程中重要功能基因的出现、表达和丢失提供线索。文章从直向同源基因的基本特性、直向同源序列与比较基因组学的关系、应用直向同源序列开展比较基因组学相关研究方法、现状等展开综述。关键词: 直向同源; 比较基因组学; 生物学特性; 数据库     

判定直系同源关系的进化分析方法

如何正确判定基因之间的直系同源 (ortholog)和旁系同源 (paralog)关系 ,仍是基因组功能诠释和比较基因组学中有待更好解决的关键问题。在以前的工作中 ,曾用进化分析方法解决多基因家族的直系 /旁系同源关系的判定问题 ,现进而完整地展开判定直系同源关系的进化分析方法。从 44个同源蛋白质家族的案例观察表明 ,与流行的COG方法 (直系同源蛋白质的聚类 )比较 ,本方法能一般的判定直系同源关系以及能准确的诠释基因组的分子功能     

基于同源基因的病原菌鉴定和分型靶位点的功能基因组学研究

利用病原菌序列差异,对病原菌特定基因和位点进行检测,可以快速发现和鉴别病原菌的分类和特征,对传染病快速诊断和溯源具有基础性意义和重要价值.本文旨在覆盖中国重要传染病的103种病原菌,寻找各分类阶元中特有的同源基因,并从中挑选出适合用于病原菌鉴定、分型的候选基因.利用生物信息学和基因组学方法,对已有全基因组序列的275株病原菌的836415个基因进行比对分析,进一步明确菌株的门、纲、目、科、属各分类阶元中特有的同源基因集合;通过COG功能分类方法,对同源基因集合进行功能注释,并分析在不同分类阶元内的保守基因功能的变化规律.本研究寻找到适合鉴定和分型的不同分类阶元（门、纲、目、科、属）的同源基因集合共19563个（门2891个、纲1016个、目3601个、科10130个、属1925个）.对同源基因功能的分析表明,适合对病原菌进行鉴定的基因在不同分类阶元中,表现的功能存在较大差异.革兰氏阳性和阴性病原菌在不同分类阶元中,同源基因表现出的功能也存在差异.该结果将为对在中国广泛存在的病原菌进行检测所涉及的探针、芯片设计提供理论依据,加快目标探针的筛选工作.同时,研究也是首次将世界范围内的全基因组数据和中国重大传染病涉及的病原菌紧密联系结合,为利用功能基因组学开展区域性、有针对性的病原检测和监测,提供候选基因和位点筛选的新方法.相关结果在细菌的元基因组学研究中也具有一定的应用价值.     

同源器官探析

同源器官探析张培玉（山东省曲阜师范大学生物系，２７３１６５）朱晓林（山东省泰安二中，２７１０００）同源器官是随着比较解剖学的确立而提出的最重要概念之一。为了正确理解和使用这一基本概念，作者从多个角度对同源器官进行了较为全面地分析和探讨，同时提出把同源...     

形态和分子进化研究中的同源概念

在比较生物学中,同源是一个中心概念,是系统学的心脏,同源最基本的意义就是共同祖先。然而,这只是对同源的解释而非告诉我们怎样去发现它。同源又可被看成是特别类群间的联系。形态进化研究中同源比较的对象是生物的结构,而分子进化研究中的同源比较对象是DNA中的核着酸序列,现对这两种层次的同源概念及其相互间的关系进行讨论。       

同源异形基因浅说

同源异形基因是决定果蝇体节形成的发育基因,其同源异形盒子编码同源异形结构域蛋白,在进化上极为保守,从低等到高等动物的基因组中都有存在。其表达具严格的时、空特异性,可控制细胞的分化状态及表型,推测可能是通过对其他基因的调节而发挥作用。最近表明线虫及哺乳类细胞中的转录因子也具有同源异形蛋白,初步证明它们也是转录因子,这对解释同源异形蛋白的功能、探索基因表达的调节机制有重要意义。     

三种同源基因的辨析

同源基因分为直向同源基因、横向同源基因和异源同源基因。该文对这三种同源基因进行辨析,并对直向同源基因和横向同源基因的进一步分类进行了简单介绍。     

Red/ET 同源重组介导细菌人工染色体的快速修饰

随着基因组测序工程的实施与完成,如何对包含完整基因信息的特定细菌人工染色体 (BAC) 进行有目的修饰,已成为功能基因组学研究的一个重要环节 . 应用新近优化的 Red/ET 同源重组技术对目标 BAC 进行修饰,以 pSC101-BAD-gbaA 为依托质粒,采用 rpsL-neo 为正 / 反向筛选系统,可以快速、高效地对 BAC 进行剪切、插入、替换等操作,其中能够进行抗性筛选的一步 BAC 修饰只需一周时间,以插入非抗性标记基因 Cre 为代表的两步 BAC 修饰在两周内即可完成 . 通过阿拉伯多糖诱导调控和简单地变化培养温度,能使 pSC101-BAD-gbaA 依托质粒在发挥完 Red/ET 同源重组作用后自然消失,最终获得完整而纯净的修饰后 BAC ,为加快功能基因组学研究提供了一个可靠的实验平台 .     

人类X染色体与Y染色体是否为同源染色体

对同源染色体的概念及人类X染色体与Y染色体的来源、形态结构、功能以及减数分裂中的行为等进行了讨论.X染色体与Y染色体虽然在形态、大小以及所含的基因等方面有差别,但从综合分析看,二者属于同源染色体,或者属于特殊的同源染色体.     

Enrichment of homologs in insignificant BLAST hits by co-complex network alignment

Background  

Homology is a crucial concept in comparative genomics. The algorithm probably most widely used for homology detection in comparative genomics, is BLAST. Usually a stringent score cutoff is applied to distinguish putative homologs from possible false positive hits. As a consequence, some BLAST hits are discarded that are in fact homologous.     

The multiple facets of homology and their use in comparative genomics to study the evolution of genes, genomes, and species

The incredible development of comparative genomics during the last decade has required a correct use of the concept of homology that was previously utilized only by evolutionary biologists. Unhappily, this concept has been often misunderstood and thus misused when exploited outside its evolutionary context. This review brings back to the correct definition of homology and explains how this definition has been progressively refined in order to adapt it to the various new kinds of analysis of gene properties and of their products that appear with the progress of comparative genomics. Then, we illustrate the power and the proficiency of such a concept when using the available genomics data in order to study the evolution of individual genes, of entire genomes and of species, respectively. After explaining how we detect homologues by an exhaustive comparison of a hundred of complete proteomes, we describe three main lines of research we have developed in the recent years. The first one exploits synteny and gene context data to better understand the mechanisms of genome evolution in prokaryotes. The second one is based on phylogenomics approaches to reconstruct the tree of life. The last one is devoted to reminding that protein homology is often limited to structural segments (SOH=segment of homology or module). Detecting and numbering modules allows tracing back protein history by identifying the events of gene duplication and gene fusion. We insist that one of the main present difficulties in such studies is a lack of a reliable method to identify genuine orthologues. Finally, we show how these homology studies are helpful to annotate genes and genomes and to study the complexity of the relationships between sequence and function of a gene.     

Identification of homologs in insignificant blast hits by exploiting extrinsic gene properties

Background  

Homology is a key concept in both evolutionary biology and genomics. Detection of homology is crucial in fields like the functional annotation of protein sequences and the identification of taxon specific genes. Basic homology searches are still frequently performed by pairwise search methods such as BLAST. Vast improvements have been made in the identification of homologous proteins by using more advanced methods that use sequence profiles. However additional improvement could be made by exploiting sources of genomic information other than the primary sequence or tertiary structure.     

Residual dipolar couplings: Synergy between NMR and structural genomics

Structural genomics is on a quest for the structure and function of a significant fraction of gene products. Current efforts are focusing on structure determination of single-domain proteins, which can readily be targeted by X-ray crystallography, NMR spectroscopy and computational homology modeling. However, comprehensive association of gene products with functions also requires systematic determination of more complex protein structures and other biomolecules participating in cellular processes such as nucleic acids, and characterization of biomolecular interactions and dynamics relevant to function. Such NMR investigations are becoming more feasible, not only due to recent advances in NMR methodology, but also because structural genomics is providing valuable structural information and new experimental and computational tools. The measurement of residual dipolar couplings in partially oriented systems and other new NMR methods will play an important role in this synergistic relationship between NMR and structural genomics. Both an expansion in the domain of NMR application, and important contributions to future structural genomics efforts can be anticipated.     

Combining structural genomics and enzymology: completing the picture in metabolic pathways and enzyme active sites

An important goal of structural genomics is to complete the structural analysis of all the enzymes in metabolic pathways and to understand the structural similarities and differences. A preliminary glimpse of this type of analysis was achieved before structural genomics efforts with the glycolytic pathway and efforts are underway for many other pathways, including that of catecholamine metabolism. Structural enzymology necessitates a complete structural characterization, even for highly homologous proteins (greater than 80% sequence homology), as every active site has distinct structural features and it is these active site differences that distinguish one enzyme from another. Short cuts with homology modeling cannot be taken with our current knowledge base. Each enzyme structure in a pathway needs to be determined, including structures containing bound substrates, cofactors, products and transition state analogs, in order to obtain a complete structural and functional understanding of pathway-related enzymes.     

Structural genomics plucks high-hanging membrane proteins

Recent years have seen the establishment of structural genomics centers that explicitly target integral membrane proteins. Here, we review the advances in targeting these extremely high-hanging fruits of structural biology in high-throughput mode. We observe that the experimental determination of high-resolution structures of integral membrane proteins is increasingly successful both in terms of getting structures and of covering important protein families, for example, from Pfam. Structural genomics has begun to contribute significantly toward this progress. An important component of this contribution is the set up of robotic pipelines that generate a wealth of experimental data for membrane proteins. We argue that prediction methods for the identification of membrane regions and for the comparison of membrane proteins largely suffice to meet the challenges of target selection for structural genomics of membrane proteins. In contrast, we need better methods to prioritize the most promising members in a family of closely related proteins and to annotate protein function from sequence and structure in absence of homology.     

Structural genomics: computational methods for structure analysis

The success of structural genomics initiatives requires the development and application of tools for structure analysis, prediction, and annotation. In this paper we review recent developments in these areas; specifically structure alignment, the detection of remote homologs and analogs, homology modeling and the use of structures to predict function. We also discuss various rationales for structural genomics initiatives. These include the structure-based clustering of sequence space and genome-wide function assignment. It is also argued that structural genomics can be integrated into more traditional biological research if specific biological questions are included in target selection strategies.     

The Formation of the Theory of Homology in Biological Sciences

Homology is among the most important comparative concepts in biology. Today, the evolutionary reinterpretation of homology is usually conceived of as the most important event in the development of the concept. This paradigmatic turning point, however important for the historical explanation of life, is not of crucial importance for the development of the concept of homology itself. In the broadest sense, homology can be understood as sameness in reference to the universal guarantor so that in this sense the different concepts of homology show a certain kind of "metahomology". This holds in the old morphological conception, as well as in the evolutionary usage of homology. Depending on what is (or was) taken as a guarantor, different types of homology may be distinguished (as idealistic, historical, developmental etc.). This study represents a historical overview of the development of the homology concept followed by some clues on how to navigate the pluralistic terminology of modern approaches to homology.     

芸薹属植物基因组学研究进展

芸薹属是十字花科植物300多个属中最为重要的一个属,是我国栽培面积最大的蔬菜作物。拟南芥和芸薹属在十字花科中两者的亲缘关系最近,通过它们之间的比较作图,两者之间的共线性被大量发现。模式植物拟南芥全基因组测序已经完成,这为芸薹属作物的基因组研究提供了便利条件。芸薹属作物的功能基因组学能够进一步明确不同发育时期基因的功能,为解释芸薹属的进化提供基因证据。就芸薹属植物在比较基因组学、功能基因组学最新进展,特别是芸薹属与模式植物拟南芥在基因组之间的相互关系进行了综述。