Functional genomics: identifying drug targets for parasitic diseases

The genomic sequences of parasitic diseases are rapidly becoming available and, recently, the full sequence of Plasmodium falciparum has been published. Much has been promised from this genomic revolution including the identification of new drug targets and novel chemotherapeutic treatments for the control of parasitic diseases. The challenge to use this information efficiently will require functional genomics tools such as bioinformatics, microarrays, proteomics and chemical genomics to identify potential drug targets, and to allow the development of optimized lead compounds. The information generated from these tools will provide a crucial link from genomic analysis to drug discovery.     

How Can We Use Genomics to Improve Cereals with Rice as a Reference Genome?

Rice serves as a model crop for cereal genomics. The availability of complete genome sequences, together with various genomic resources available for both rice and Arabidopsis, have revolutionized our understanding of the genetic make-up of crop plants. Both macrocolinearity revealed by comparative mapping and microcolinearity revealed by sequence comparisons among the grasses indicate that sequencing and functional analysis of the rice genome will have a significant impact on other cereals in terms of both genomic studies and crop improvement. The availability of mutants, introgression libraries, and advanced transformation techniques make functional genomics in rice and other cereals more manageable than ever before. A wide array of genetic markers, including anchor markers for comparative mapping, SSRs and SNPs are widely used in genetic mapping, germplasm evaluation and marker assisted selection. An integrated database that combines genome information for rice and other cereals is key to the effective utilization of all genomics resources for cereal improvement. To maximize the potential of genomics for plant breeding, experiments must be further miniaturized and costs must be reduced. Many techniques, including targeted gene disruption or allele substitution, insertional mutagenesis, RNA interference and homologous recombination, need to be refined before they can be widely used in functional genomic analysis and plant breeding.     

Gene structure prediction in syntenic DNA segments

The accurate prediction of higher eukaryotic gene structures and regulatory elements directly from genomic sequences is an important early step in the understanding of newly assembled contigs and finished genomes. As more new genomes are sequenced, comparative approaches are becoming increasingly practical and valuable for predicting genes and regulatory elements. We demonstrate the effectiveness of a comparative method called pattern filtering; it utilizes synteny between two or more genomic segments for the annotation of genomic sequences. Pattern filtering optimally detects the signatures of conserved functional elements despite the stochastic noise inherent in evolutionary processes, allowing more accurate annotation of gene models. We anticipate that pattern filtering will facilitate sequence annotation and the discovery of new functional elements by the genetics and genomics communities.     

GOing from functional genomics to biological significance

The chicken genome is sequenced and this, together with microarray and other functional genomics technologies, makes post-genomic research possible in the chicken. At this time, however, such research is hindered by a lack of genomic structural and functional annotations. Bio-ontologies have been developed for different annotation requirements, as well as to facilitate data sharing and computational analysis, but these are not yet optimally utilized in the chicken. Here we discuss genomic annotation and bio-ontologies. We focus specifically on the Gene Ontology (GO), chicken GO annotations and how these can facilitate functional genomics in the chicken. The GO is the most developed and widely used bio-ontology. It is the de facto standard for functional annotation. Despite its critical importance in analyzing microarray and other functional genomics data, relatively few chicken gene products have any GO annotation. When these are available, the average quality of chicken gene products annotations (defined using evidence code weight and annotation depth) is much less than in mouse. Moreover, tools allowing chicken researchers to easily and rapidly use the GO are either lacking or hard to use. To address all of these problems we developed ChickGO and AgBase. Chicken GO annotations are provided by complementary work at MSU-AgBase and EBI-GOA. The GO tools pipeline at AgBase uses GO to derive functional and biological significance from microarray and other functional genomics data. Not only will improved genomic annotation and tools to use these annotations benefit the chicken research community but they will also facilitate research in other avian species and comparative genomics.     

Isolation and annotation of 10828 putative full length cDNAs from indica rice

Rice has become a model plant for genomic studies of monocot species, because of its relative small ge-nome size (430 Mb), high synteny with other impor-tant crop species such as maize, barley and wheat, the release of draft sequences of both indica[1] and japon-ica[2] genomes, and the near completion of the map-based sequencing of rice genome by the Interna-tional Rice Genome Sequencing Project. Currently, more than 340 Mb of non-overlapping genomic se-quences including completely sequenced…     

From Arabidopsis to rice genomics: a survey of French programmes.

During the last ten years, Arabidopsis thaliana has become the most favoured plant system for the study of many aspects of development and adaptation to adverse conditions and diseases. The sequencing of the Arabidopsis thaliana genome is nearly completed with more than 90% of the sequence being released in public databases. This is the first plant genome to be analysed and it has revealed a tremendous amount of information about the nature of the genes it contains and its largely duplicated organisation. French groups have been involved in Arabidopsis genomics at several steps: EST (expressed sequence tags) sequencing, construction and ordering (physical mapping of chromosomes) of a YAC (yeast artificial chromosomes) library, genomic sequencing. In parallel an extensive programme of functional genomics is being undertaken through the systematic analysis of insertional mutants. This information provides a support for analysing other more economically important plant genomes such as the rice genome and constitutes the beginning of a systematic investigation on plant gene functions and will promote new strategies for plant improvement.     

Towards a taxonomy of Bacteria and Archaea based on interactive and cumulative data repositories

Taxonomy in the second decade of the 21st century is benefiting from technological advances in molecular microbiology, especially those related to genomics. Gene and genome databases are significantly increasing due to intense research activities in the field of molecular ecology and genomics. Taxa, and especially species, are tailored by means of the recognition of a phylogenetic, genomic and phenotypic coherence that reveal their uniqueness in the classification schema. Phylogenetic coherence is mainly revealed by means of 16S rRNA gene analyses for which curated databases such as EzTaxon and LTP provide a valuable tool for tree reconstruction to taxonomy users. On the other hand, in silico full or partial genomic sequence comparisons are called on to substitute cumbersome techniques such as DNA-DNA hybridization (DDH) to genomically circumscribe species. DDH similarity values around 70% would be equivalent to ANI values of 96%. Finally, finding an exclusive phenotypic property for the taxa to be classified is of paramount relevance to producing an operative and predictive classification system. The current methods used for taxonomic classification require significant laboratory experimentation, and generally will not produce interactive databases. The new high-throughput metabolomic technologies, such as ICR-FT and MALDI-TOF mass spectrometry methods, open the door to the construction of metabolic databases for taxonomic purposes. It is to be foreseen that, in the future, taxonomists will benefit significantly from public databases speeding up the classification process. However, serious effort will be needed to harmonize them and to prevent inaccurate material.     

Carnivore-specific SINEs (Can-SINEs): distribution, evolution, and genomic impact

Short interspersed nuclear elements (SINEs) are a type of class 1 transposable element (retrotransposon) with features that allow investigators to resolve evolutionary relationships between populations and species while providing insight into genome composition and function. Characterization of a Carnivora-specific SINE family, Can-SINEs, has, has aided comparative genomic studies by providing rare genomic changes, and neutral sequence variants often needed to resolve difficult evolutionary questions. In addition, Can-SINEs constitute a significant source of functional diversity with Carnivora. Publication of the whole-genome sequence of domestic dog, domestic cat, and giant panda serves as a valuable resource in comparative genomic inferences gleaned from Can-SINEs. In anticipation of forthcoming studies bolstered by new genomic data, this review describes the discovery and characterization of Can-SINE motifs as well as describes composition, distribution, and effect on genome function. As the contribution of noncoding sequences to genomic diversity becomes more apparent, SINEs and other transposable elements will play an increasingly large role in mammalian comparative genomics.     

Genomic resources in fruit plants: an assessment of current status

The availability of many genomic resources such as genome sequences, functional genomics resources including microarrays and RNA-seq, sufficient numbers of molecular markers, express sequence tags (ESTs) and high-density genetic maps is causing a rapid acceleration of genetics and genomic research of many fruit plants. This is leading to an increase in our knowledge of the genes that are linked to many horticultural and agronomically important traits. Recently, some progress has also been made on the identification and functional analysis of miRNAs in some fruit plants. This is one of the most active research fields in plant sciences. The last decade has witnessed development of genomic resources in many fruit plants such as apple, banana, citrus, grapes, papaya, pears, strawberry etc.; however, many of them are still not being exploited. Furthermore, owing to lack of resources, infrastructure and research facilities in many lesser-developed countries, development of genomic resources in many underutilized or less-studied fruit crops, which grow in these countries, is limited. Thus, research emphasis should be given to those fruit crops for which genomic resources are relatively scarce. The development of genomic databases of these less-studied fruit crops will enable biotechnologists to identify target genes that underlie key horticultural and agronomical traits. This review presents an overview of the current status of the development of genomic resources in fruit plants with the main emphasis being on genome sequencing, EST resources, functional genomics resources including microarray and RNA-seq, identification of quantitative trait loci and construction of genetic maps as well as efforts made on the identification and functional analysis of miRNAs in fruit plants.     

Will genomics revolutionise pharmaceutical R&D?

The successful identification of drug targets requires an understanding of the high-level functional interactions between the key components of cells, organs and systems, and how these interactions change in disease states. This information does not reside in the genome, or in the individual proteins that genes code for, it is to be found at a higher level. Genomics will succeed in revolutionising pharmaceutical research and development only if these interactions are also understood by determining the logic of healthy and diseased states. The rapid growth in biological databases, models of cells, tissues and organs, and in computing power has made it possible to explore functionality all the way from the level of genes to whole organs and systems. Combined with genomic and proteomic data, in silico simulation technology is set to transform all stages of drug discovery and development. The major obstacle to achieving this will be obtaining the relevant experimental data at levels higher than genomics and proteomics.     

Advances in genomics for microbial food fermentations and safety

The exponentially growing collection of genomic sequence information, the high-throughput analysis of expression products, and the ability to order this information using advanced bioinformatics are expected to affect biotechnology and life sciences in a profound and unprecedented way. These developments offer many possibilities to improve the functionality of fermentations by food-grade microorganisms and to increase the microbial safety of foods. It will be necessary to combine functional studies with comparative genomics approaches to provide effective strategies for improving the functionality and safety of foods.     

Statistical methods of comparative genomic analysis based on diffusion processes

Comparative genomics is a powerful tool of genome functional specificity predictions and investigation of evolution specificity. Background of a large field of bioinformatics investigations is a computation of different scores of sequences and comparing them with a threshold. Comparative genomic analysis involves scores comparing for orthological groups of genetic objects. In this paper we represent a statistical approach to comparative genomic analysis, that based on investigation of diffusion in sequence space determined by neutral evolution of sequences. Using this approach we represent several statistics for selection pressure estimation and analyze statistics for several biological problems. We formulate technology of statistics applying to obtain new biological information. This approach is represented as Java-class library.     

Reports from the cutting edge of parasitic genome analysis.

This new feature in Parasitology Today will host reports from the laboratories involved in genomics of parasites, be that sequencing, mapping or 'functional genomics' - the mining and analysis of the sequence datasets, and the development of postgenomics tools to examine gene expression, response to drugs and population variability. It will publicize new technology to wider audiences, let communities of researchers know about novel resources (particularly those available through the World Wide Web) and highlight significant advances in the understanding of parasitic genomes through functional genomics.     

The genus Lactobacillus--a genomic basis for understanding its diversity

The genus Lactobacillus is a diverse group that includes many species used in food production and preservation. Some lactobacilli are considered probiotic, conferring health benefits upon the host. The heterogeneity of this genus poses challenges and opportunities when characterizing or exploiting individual strains. To date, 10 Lactobacillus genome sequences have been published, and at least 11 more sequencing projects are ongoing. These studies will dramatically improve one's understanding of metabolic processes, bioprocessing capabilities and potential roles in health and well-being of the Lactobacilli. This review describes the current status of Lactobacillus genome sequence projects, highlights the major findings and summarizes functional genomics or comparative genomics studies. The genomic basis for the unusual diversity of this genus is discussed, and the potential for comparative genomics to rigorously extend phylogenetic analysis of the Lactobacilli is described.     

细胞筛选平台在人类功能基因组研究中的应用

人类基因组全序列的精细图已完成,当前生命科学面临的重要任务就是如何将基因组序列信息转化为基因的功能信息,了解生命活动的分子机理,改善人类健康,为生物技术发展提供动力 . 在一系列功能基因组研究新技术中,高通量 (high-throughput) 和高内涵 (high-content) 的细胞筛选技术平台已经显示出巨大潜力,发挥着越来越重要的作用 . 通过在体外培养的哺乳动物细胞中基因过表达或抑制基因表达,分析所产生信号传导通路和 / 或细胞表型改变,可以直接发现基因功能 . 近年来一些技术上的进展,使细胞筛选平台具有微量、自动、高效、高通量,以及可以系统研究的特点,已经成为功能基因组研究的核心方法之一 . 近 2~3 年来已经出现一批成功应用细胞筛选平台进行大规模功能基因组研究的报道 . 我国在这一领域的研究也开始起步,将对我国生物技术的源头创新研究产生深远的影响 .     

功能基因组学的研究内容与方法

基因组学的研究已从结构基因组学转向功能基因组学.综述了功能基因组学研究的内容和方法,主要包括应用微点阵、基因表达系列分析(SAGE)、蛋白质组、生物信息学等方法来研究基因组表达概况、基因组多样性、模式生物体等.