Identity crisis? The need for systematic gene IDs

Recent years have seen an explosion in the availability of protozoan pathogen genome sequences. Although data regarding the underlying genome sequence remain relatively stable after the initial draft, understanding of specific gene function is increasing rapidly. This dichotomy is reflected in the relative stability of systematic gene identifiers (SysIDs(*)) in genome sequence databases, as compared to evolving and/or conflicting gene and gene product names. GenBank/EMBL/DDBJ accession numbers are important, but most protozoan parasite researchers use organism-based databases such as EuPathDB or GeneDB as their immediate resource for gene-based information because they not only provide sequence information but also functional information and links to references. Reference to SysIDs therefore provides a valuable bridge to this repository of information.     

CyanoBase, the genome database for Synechocystis sp. strain PCC6803: status for the year 2000

CyanoBase provides an online resource for access to data on genomic information about the cyanobacterium Synechocystis sp. strain PCC6803. The database contains annotations for each protein-coding gene deduced from the entire nucleotide sequence of the genome, gene classification lists, and keyword and similarity search engines. Core portions of CyanoBase consist of annotations for each of the 3168 protein genes deduced from the entire nucleotide sequence of this genome. The contents of each gene were improved by updating with the results of similarity searches and by introducing references for analysis in bioinformatics. The database now contains repository facilities that store and provide experimental information, in addition to providing proposals for the function of each gene. This information should help to avoid unnecessary, overlapping experiments and should assist communication between scientists who wish to elucidate the function of putative genes on the cyanobacteria genome. The current URL of CyanoBase is http://www.kazusa.or.jp:8080/cyano/     

Functional analysis of the yeast genome

The release of the complete genome sequence of the yeast Saccharomyces cerevisiae has ushered in a new phase of genome research in which sequence function will be assigned. The goal is to determine the biological function of each of the >6,000 open reading frames in the yeast genome. Innovative approaches have been developed that exploit the sequence data and yield information about gene expression levels, protein levels, subcellular localization and gene function for the entire genome.     

拟南芥植物硫肽激素-α前体基因AtPSK2的克隆及序列分析

根据拟南芥基因组数据库提供的信息,首次通过聚合酶链反应技术克隆到一个拟南芥硫肽激素-α前体基因——AtPSK2,并对其进行了序列分析。结果表明,所获得的AtPSK2基因是一个长412bp,含有一个内含子和两个没有3’或5’-非转译区的外显子的全编码序列,与数据库提供的序列比较,具有100％的同源性。这一工作将为转基因植物及其细胞培养和育种打下基础．     

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。     

Genome shuffling: Progress and applications for phenotype improvement

Although rational method and global technique have been successfully applied in strain improvement respectively, the demand for engineering complex phenotypes required combinatorial approach. The technology of genome shuffling has been presented as a novel whole genome engineering approach for the rapid improvement of cellular phenotypes. This approach using recursive protoplast fusion with multi-parental strains offers the advantage of recombination throughout the entire genome without the necessity for genome sequence data or network information. Genome shuffling has been demonstrated as an effective method, which is not only for producing improved strain but also for providing information on complex phenotype. In this review we attempt to present the advantage of genome shuffling, introduce the procedure of this technology, summarize the applications of this approach for phenotype improvement and then give perspective on the development of this method in the future.     

SNAPping up functionally related genes based on context information: a colinearity-free approach

We describe a computational approach for finding genes that are functionally related but do not possess any noticeable sequence similarity. Our method, which we call SNAP (similarity-neighborhood approach), reveals the conservation of gene order on bacterial chromosomes based on both cross-genome comparison and context information. The novel feature of this method is that it does not rely on detection of conserved colinear gene strings. Instead, we introduce the notion of a similarity-neighborhood graph (SN-graph), which is constructed from the chains of similarity and neighborhood relationships between orthologous genes in different genomes and adjacent genes in the same genome, respectively. An SN-cycle is defined as a closed path on the SN-graph and is postulated to preferentially join functionally related gene products that participate in the same biochemical or regulatory process. We demonstrate the substantial non-randomness and functional significance of SN-cycles derived from real genome data and estimate the prediction accuracy of SNAP in assigning broad function to uncharacterized proteins. Examples of practical application of SNAP for improving the quality of genome annotation are described.     

TILLING,high-resolution melting (HRM), and next-generation sequencing (NGS) techniques in plant mutation breeding

Induced mutations have been used effectively for plant improvement. Physical and chemical mutagens induce a high frequency of genome variation. Recently, developed screening methods have allowed the detection of single nucleotide polymorphisms (SNPs) and the identification of traits that are difficult to identify at the molecular level by conventional breeding. With the assistance of reverse genetic techniques, sequence variation information can be linked to traits to investigate gene function. Targeting induced local lesions in genomes (TILLING) is a high-throughput technique to identify single nucleotide mutations in a specific region of a gene of interest with a powerful detection method resulted from chemical-induced mutagenesis. The main advantage of TILLING as a reverse genetics strategy is that it can be applied to any species, regardless of genome size and ploidy level. However, TILLING requires laborious and time-consuming steps, and a lack of complete genome sequence information for many crop species has slowed the development of suitable TILLING targets. Another method, high-resolution melting (HRM), which has assisted TILLING in mutation detection, is faster, simpler and less expensive with non-enzymatic screening system. Currently, the sequencing of crop genomes has completely changed our vision and interpretation of genome organization and evolution. Impressive progress in next-generation sequencing (NGS) technologies has paved the way for the detection and exploitation of genetic variation in a given DNA or RNA molecule. This review discusses the applications of TILLING in combination with HRM and NGS technologies for screening of induced mutations and discovering SNPs in mutation breeding programs.     

Phenotypic characterization of transposon-inserted mutants of Clostridium proteoclasticum B316T using extracellular metabolomics

The development of high-throughput DNA sequencing techniques has enabled the sequencing of several hundred bacterial genomes. However, the major step towards understanding the molecular basis of an organism will be the determination of all gene functions in its genome. Current gene assignments by sequence homology generate numerous hints to putative or unknown functions. Even hits with good homology are often not specific enough to describe the in vivo biochemical functions and the underlying biological roles. In this work we applied metabolic footprinting analysis to characterize Tn916-inserted mutants of a hemicellulose-degrading rumen bacterium grown on complex culture medium. Interestingly, the most distinctive phenotypic difference was observed in a mutant with a transposon insertion in a non-coding region of the genome, while disruption of a gene with high homology to a known alpha-glucosidase/xylosidase showed no distinctive phenotypic effect. Our results demonstrate that extracellular metabolomics data coupled to genome information is a powerful and low-cost approach to rapidly screen and characterize microbial mutants with single gene deletions. However, metabolomics as a stand-alone technique is unlikely to give a complete answer to define gene functions, and, therefore, is an approach to be used to generate hypotheses and direct new experiments to confirm gene function.     

植物功能基因组学的研究策略

植物基因组学是一门研究植物基因组内基因与遗传信息是如何有机结合并如何决定其功能的一门科学。随着植物基因组计划的顺利进行 ,植物基因组学的研究已从结构基因组学转向功能基因组学。近年来 ,多采用高通量 (highthroughput,HTP)序列分析技术、大规模实验技术及计算机统计分析技术研究植物基因组功能。概述了植物功能基因组学的最新进展。     

Gene replacement by homologous recombination in plants

After the elucidation of the sequence of the yeast genome a major effort was started to elucidate the biological function of all open reading frames of this organisms by targeted gene replacement via homologous recombination. The establishment of the complete sequence of the genome of Arabidopsis thaliana would principally allow a similar approach. However, over the past dozen years all attempts to establish an efficient gene targeting technique in flowering plants were in the end not successful. In contrast, in Physcomitrella patens an efficient gene targeting procedure has been set up, making the moss a valuable model system for plant molecular biologists. But also for flowering plants recently several new approaches – some of them based on the availability of the genomic sequence of Arabidopsis – were initiated that might finally result on the set up of a general applicable technique. Beside the production of hyper-recombinogenic plants either via expression or suppression of specific gene functions or via undirected mutagenesis, the application of chimeric oligonucleotides might result in major progress.     

Open access to sequence: Browsing the Pichia pastoris genome

The first genome sequences of the important yeast protein production host Pichia pastoris have been released into the public domain this spring. In order to provide the scientific community easy and versatile access to the sequence, two web-sites have been installed as a resource for genomic sequence, gene and protein information for P. pastoris: A GBrowse based genome browser was set up at and a genome portal with gene annotation and browsing functionality at . Both websites are offering information on gene annotation and function, regulation and structure.     

DNA Chip technologies

The genome sequencing project has generated and will continue to generate enormous amounts of sequence data. Since the first complete genome sequence of bacteriumHacmophilus influenzac was published in 1995, the complete genome sequences of 2 eukaryotic and about 22 prokaryotic organisms have been determined. Given this ever-increasing amounts of sequence information, new strategies are necessary to efficiently pursue the next phase of the genome project—the elucidation of gene expression patterns and gene product function on a whole genome scale. In order to assign functional information to the genome sequence, DNA chip technology was developed to efficiently identify the differential expression pattern of independent biological samples. DNA chip provides a new tool for genome expression analysis that may revolutionize many aspects of human life including new drug discovery and human disease diagnostics.     

基因组编辑技术中供体DNA类型及选择

基因组编辑技术能够实现基因组的精确修饰和改造,是后基因组时代研究基因功能和遗传信息的主要手段。传统的基因打靶技术通过低效率的细胞自发同源重组实现目的基因的定点修饰。真核细胞中DNA双链断裂介导的同源重组效率远高于自发同源重组,利用人工核酸内切酶特异性地在基因组靶序列处引入双链断裂,通过提供适当形式的、含有一定长度同源臂的供体DNA,能够实现相对高效的基因组靶向编辑。本文系统总结了环状质粒、线性化质粒、聚合酶链式反应产物及单链寡聚脱氧核苷酸4种类型的供体DNA在基因组精确编辑研究中的应用及候选原则,以期为以后相关研究中供体DNA的选择、设计提供参考和借鉴。     

An antisense-based functional genomics approach for identification of genes critical for growth of Candida albicans

Converting the complete genome sequence of Candida albicans into meaningful biological information will require comprehensive screens for identifying functional classes of genes. Most systems described so far are not applicable to C. albicans because of its difficulty with mating, its diploid nature, and the lack of functional random insertional mutagenesis methods. We examined artificial gene suppression as a means to identify gene products critical for growth of this pathogen; these represent new antifungal drug targets. To achieve gene suppression we combined antisense RNA inhibition and promoter interference. After cloning antisense complementary DNA (cDNA) fragments under control of an inducible GAL1 promoter, we transferred the resulting libraries to C. albicans. Over 2,000 transformant colonies were screened for a promoter-induced diminished-growth phenotype. After recovery of the plasmids, sequence determination of their inserts revealed the messenger RNA (mRNA) they inhibited or the gene they disrupted. Eighty-six genes critical for growth were identified, 45 with unknown function. When used in high-throughput screening for antifungals, the crippled C. albicans strains generated in this study showed enhanced sensitivity to specific drugs.     

Clustering of main orthologs for multiple genomes

The identification of orthologous genes shared by multiple genomes is critical for both functional and evolutionary studies in comparative genomics. While it is usually done by sequence similarity search and reconciled tree construction in practice, recently a new combinatorial approach and high-throughput system MSOAR for ortholog identification between closely related genomes based on genome rearrangement and gene duplication has been proposed in Fu et al. MSOAR assumes that orthologous genes correspond to each other in the most parsimonious evolutionary scenario, minimizing the number of genome rearrangement and (postspeciation) gene duplication events. However, the parsimony approach used by MSOAR limits it to pairwise genome comparisons. In this paper, we extend MSOAR to multiple (closely related) genomes and propose an ortholog clustering method, called MultiMSOAR, to infer main orthologs in multiple genomes. As a preliminary experiment, we apply MultiMSOAR to rat, mouse, and human genomes, and validate our results using gene annotations and gene function classifications in the public databases. We further compare our results to the ortholog clusters predicted by MultiParanoid, which is an extension of the well-known program InParanoid for pairwise genome comparisons. The comparison reveals that MultiMSOAR gives more detailed and accurate orthology information, since it can effectively distinguish main orthologs from inparalogs.     

Fruits and flies: a genomics perspective of an invertebrate model organism.

The increasing number of species for which a full genome sequence is available offers rich pickings for geneticists, but comparative analysis and assembly of information gathered across species does not always lead to answers about the function of a particular gene. This paper aims to place the invertebrate model system--the fly Drosophila melanogaster--into this playing field and to discuss how the organism arrived at its position in functional genetic analysis. Indeed, despite the wealth of knowledge on how a fly lives, breathes and flies, this organism is likely to remain a player in the analysis of biological, disease and pharmaceutical processes. The fast genetics Drosophila offers, combined with a well-annotated genome and a wealth of techniques facilitating gene function discovery, will ensure its place in functional genomics for some time to come. Although the fly cannot speak, it certainly can tell a tale.     

Stability and evolution of overlapping genes

Abstract.— When the same sequence of nucleotides codes for regions of more than one functional polypeptide, this sequence contains overlapping genes. Overlap is most common in rapidly evolving genomes with high mutation rates such as viruses, bacteria, and mitochondria. Overlap is thought to be important as: (1) a means of compressing a maximum amount of information into short sequences of structural genes; and (2) as a mechanism for regulating gene expression through translational coupling of functionally related polypeptides. The stability of overlapping codes is examined in relation to the information cost of overlap and the mutation rate of the genome. The degree of overlap in a given population will tend to become monomorphic. Evolution toward partial overlap of genes is shown to depend on a convex cost function of overlap. Overlap does not evolve when expression of overlapping genes is mutually exclusive and produced by rare mutations to the wild-type genome. Assuming overlap increases coupling between functionally related genes, the conditions favoring overlap are explored in relation to the kinetics of gene activation and decay. Coupling is most effective for genes in which the gene overlapping at its 5'end (leading gene) decays rapidly, while the gene overlapping at the 3'end (induced gene) decays slowly. If gene expression can feedback on itself (autocatalysis), then high rates of activation favor overlap.