Genome Sequencing and Identification of Gene Function in Rice

Rice is known to be one of the most important crops for human consumption. As the model cereal crop, large-scale sequencing of rice genome must play quite important roles both in theoretical research and practical application in rice breeding, which announces the opening of another new way to resolve the world food crisis. At present, the emphasis of rice genome research has been transferred from structure genomics to functional analysis. The discovery of new genes and annotation of gene function was believed to be an important issue in functional genomics research. In this article, the sequencing and functional research of the rice genome were reviewed. These results may provide some useful clues for rice genetic engineering and breeding practices.     

水稻基因组测序及基因功能的鉴定

水稻是重要的粮食作物。作为单子叶模式植物,水稻基因组的大规模测序具有巨大的理论价值和现实意义。目前已获得了籼稻“93—11”和粳稻“日本晴”高质量的基因组数据,这为在基因组水平上深入研究其生长、发育、抗病和高产等的遗传机理提供了便利,从而为进一步解决世界粮食危机提供了新的突破口和契机。随着水稻基因组计划的顺利结束,其研究重心也已由建立高分辨率的遗传、物理和转录图谱为主的结构基因组学转向基因功能的研究。结构基因组学研究获得的大量序列数据为揭示和开发功能基因开辟了广阔的前景。目前,利用图位克隆和电子克隆等方法已成功分离了多个水稻抗病、抗虫、抗逆境、抗倒伏、高产、优质等重要农艺性状相关的基因,对培育水稻新品种,促进农业的可持续发展意义重大。据估计,水稻至少拥有3．7万个非转座因子相关的蛋白编码基因。因此,完成全基因组序列测定后,重要基因功能的鉴定已成为当前基因组学研究的主要目标。反向遗传学、大规模基因功能表达谱分析和蛋白质组研究等策略已在研究水稻重要基因的功能方面发挥了重要作用。文章综述了水稻基因组测序及基因功能研究的现状,并就新基因发掘和基因功能注释的方法作了评述,期待为水稻遗传工程和育种实践提供参考。     

The genome of model malaria parasites, and comparative genomics

The field of comparative genomics of malaria parasites has recently come of age with the completion of the whole genome sequences of the human malaria parasite Plasmodium falciparum and a rodent malaria model, Plasmodium yoelii yoelii. With several other genome sequencing projects of different model and human malaria parasite species underway, comparing genomes from multiple species has necessitated the development of improved informatics tools and analyses. Results from initial comparative analyses reveal striking conservation of gene synteny between malaria species within conserved chromosome cores, in contrast to reduced homology within subtelomeric regions, in line with previous findings on a smaller scale. Genes that elicit a host immune response are frequently found to be species-specific, although a large variant multigene family is common to many rodent malaria species and Plasmodium vivax. Sequence alignment of syntenic regions from multiple species has revealed the similarity between species in coding regions to be high relative to non-coding regions, and phylogenetic footprinting studies promise to reveal conserved motifs in the latter. Comparison of non-synonymous substitution rates between orthologous genes is proving a powerful technique for identifying genes under selection pressure, and may be useful for vaccine design. This is a stimulating time for comparative genomics of model and human malaria parasites, which promises to produce useful results for the development of antimalarial drugs and vaccines.     

Large-scale Genotyping and Genetic Mapping in Plasmodium Parasites

The completion of many malaria parasite genomes provides great opportunities for genomewide characterization of gene expression and high-throughput genotyping. Substantial progress in malaria genomics and genotyping has been made recently, particularly the development of various microarray platforms for large-scale characterization of the Plasmodium falciparum genome. Microarray has been used for gene expression analysis, detection of single nucleotide polymorphism (SNP) and copy number variation (CNV), characterization of chromatin modifications, and other applications. Here we discuss some recent advances in genetic mapping and genomic studies of malaria parasites, focusing on the use of high-throughput arrays for the detection of SNP and CNV in the P. falciparum genome. Strategies for genetic mapping of malaria traits are also discussed.     

PlasmoDB: the Plasmodium genome resource. A database integrating experimental and computational data

PlasmoDB (http://PlasmoDB.org) is the official database of the Plasmodium falciparum genome sequencing consortium. This resource incorporates the recently completed P. falciparum genome sequence and annotation, as well as draft sequence and annotation emerging from other Plasmodium sequencing projects. PlasmoDB currently houses information from five parasite species and provides tools for intra- and inter-species comparisons. Sequence information is integrated with other genomic-scale data emerging from the Plasmodium research community, including gene expression analysis from EST, SAGE and microarray projects and proteomics studies. The relational schema used to build PlasmoDB, GUS (Genomics Unified Schema) employs a highly structured format to accommodate the diverse data types generated by sequence and expression projects. A variety of tools allow researchers to formulate complex, biologically-based, queries of the database. A stand-alone version of the database is also available on CD-ROM (P. falciparum GenePlot), facilitating access to the data in situations where internet access is difficult (e.g. by malaria researchers working in the field). The goal of PlasmoDB is to facilitate utilization of the vast quantities of genomic-scale data produced by the global malaria research community. The software used to develop PlasmoDB has been used to create a second Apicomplexan parasite genome database, ToxoDB (http://ToxoDB.org).     

Comparative evolutionary genomics of human malaria parasites

The parasites Plasmodium falciparum and Plasmodium vivax are responsible for the majority of human malaria cases worldwide. Despite many similarities in their biology, they frequently are studied in isolation. With the completion of the P. vivax genome and the generation of an initial P. falciparum genetic diversity map, attempts are being made to infer inter- and intra-species genome evolution. Here, we briefly review our current knowledge of comparative evolutionary genomics of the two species in the light of several presentations at the Molecular Approaches to Malaria 2008 meeting in Lorne, Australia and ask the question: can evolutionary genomics of one species inform the other?     

Highly conserved gene arrangement of the mitochondrial genomes of 23 Plasmodium species

Mitochondrial (mt) genomes from diverse phylogenetic groups vary considerably in size, structure and organization. The genus Plasmodium, the causative agent of malaria, has the smallest mt genome in the form of a tandemly repeated, linear element of 6 kb. The Plasmodium mt genome encodes only three protein genes (cox1, cox3 and cob) and large- and small-subunit ribosomal RNA (rRNA) genes, which are highly fragmented with 19 identified rRNA pieces. The complete mt genome sequences of 21 Plasmodium species have been published but a thorough investigation of the arrangement of rRNA gene fragments has been undertaken for only Plasmodium falciparum, the human malaria parasite. In this study, we determined the arrangement of mt rRNA gene fragments in 23 Plasmodium species, including two newly determined mt genome sequences from P. gallinaceum and P. vinckei vinckei, as well as Leucocytozoon caulleryi, an outgroup of Plasmodium. Comparative analysis reveals complete conservation of the arrangement of rRNA gene fragments in the mt genomes of all the 23 Plasmodium species and L. caulleryi. Surveys for a new rRNA gene fragment using hidden Markov models enriched with recent mt genome sequences led us to suggest the mtR-26 sequence as a novel candidate LSU rRNA fragment in the mt genomes of the 24 species. Additionally, we found 22-25 bp-inverted repeat sequences, which may be involved in the generation of lineage-specific mt genome arrangements after divergence from a common ancestor of the genera Eimeria and Plasmodium/Leucocytozoon.     

Interpolated Markov models for eukaryotic gene finding.

Computational gene finding research has emphasized the development of gene finders for bacterial and human DNA. This has left genome projects for some small eukaryotes without a system that addresses their needs. This paper reports on a new system, GlimmerM, that was developed to find genes in the malaria parasite Plasmodium falciparum. Because the gene density in P. falciparum is relatively high, the system design was based on a successful bacterial gene finder, Glimmer. The system was augmented with specially trained modules to find splice sites and was trained on all available data from the P. falciparum genome. Although a precise evaluation of its accuracy is impossible at this time, laboratory tests (using RT-PCR) on a small selection of predicted genes confirmed all of those predictions. With the rapid progress in sequencing the genome of P. falciparum, the availability of this new gene finder will greatly facilitate the annotation process.     

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.     

Comparative analysis of BAC and whole genome shotgun sequences from an Anopheles gambiae region related to Plasmodium encapsulation

The only natural mechanism of malaria transmission in sub-Saharan Africa is the mosquito, generally Anopheles gambiae. Blocking malaria parasite transmission by stopping the development of Plasmodium in the insect vector would provide a useful alternative to the current methods of malaria control. Toward this end, it is important to understand the molecular basis of the malaria parasite refractory phenotype in An. gambiae mosquito strains. We have selected and sequenced six bacterial artificial chromosome (BAC) clones from the Pen-1 region that is the major quantitative trait locus involved in Plasmodium encapsulation. The sequence and the annotation of five overlapping BAC clones plus one adjacent, but not contiguous clone, totaling 585kb of genomic sequence from the centromeric end of the Pen-1 region of the PEST strain were compared to that of the genome sequence of the same strain produced by the whole genome shotgun technique. This project identified 23 putative mosquito genes plus putative copies of the retrotransposable elements BEL12 and TRANSIBN1_AG in the six BAC clones. Nineteen of the predicted genes are most similar to their Drosophila melanogaster homologs while one is more closely related to vertebrate genes. Comparison of these new BAC sequences plus previously published BAC sequences to the cognate region of the assembled genome sequence identified three retrotransposons present in one sequence version but not the other. One of these elements, Indy, has not been previously described. These observations provide evidence for the recent active transposition of these elements and demonstrate the plasticity of the Anopheles genome. The BAC sequences strongly support the public whole genome shotgun assembly and automatic annotation while also demonstrating the benefit of complementary genome sequences and of human curation. Importantly, the data demonstrate the differences in the genome sequence of an individual mosquito compared to that of a hypothetical, average genome sequence generated by whole genome shotgun assembly.     

Advances in understanding the genetic basis of antimalarial drug resistance

The acquisition of drug resistance by Plasmodium falciparum has severely curtailed global efforts to control malaria. Our ability to define resistance has been greatly enhanced by recent advances in Plasmodium genetics and genomics. Sequencing and microarray studies have identified thousands of polymorphisms in the P. falciparum genome, and linkage disequilibrium analyses have exploited these to rapidly identify known and novel loci that influence parasite susceptibility to antimalarials such as chloroquine, quinine, and sulfadoxine-pyrimethamine. Genetic approaches have also been designed to predict determinants of in vivo resistance to more recent first-line antimalarials such as the artemisinins. Transfection methodologies have defined the role of determinants including pfcrt, pfmdr1, and dhfr. This knowledge can be leveraged to develop more efficient methods of surveillance and treatment.     

Cysteine proteases of malaria parasites

A number of cysteine proteases of malaria parasites have been described, and many more putative cysteine proteases are suggested by analysis of the Plasmodium falciparum genome sequence. Studies with protease inhibitors have suggested roles for cysteine proteases in hemoglobin hydrolysis, erythrocyte rupture, and erythrocyte invasion by erythrocytic malaria parasites. The best characterised Plasmodium cysteine proteases are the falcipains, a family of papain-family (clan CA) enzymes. Falcipain-2 and falcipain-3 are hemoglobinases that appear to hydrolyse host erythrocyte hemoglobin in the parasite food vacuole. This function was recently confirmed for falcipain-2, with the demonstration that disruption of the falcipain-2 gene led to a transient block in hemoglobin hydrolysis. A role for falcipain-1 in erythrocyte invasion was recently suggested, but disruption of the falcipain-1 gene did not alter parasite development. Other papain-family proteases predicted by the genome sequence include dipeptidyl peptidases, a calpain homolog, and serine-repeat antigens. The serine-repeat antigens have cysteine protease motifs, but in some the active site Cys is replaced by a Ser. One of these proteins, SERA-5, was recently shown to have serine protease activity. As SERA-5 and some other serine-repeat antigens localise to the parasitophorous vacuole in mature parasites, they may play a role in erythrocyte rupture. The P. falciparum genome sequence also predicts more distantly related (clan CD and CE) cysteine proteases, but biochemical characterisation of these proteins has not been done. New drugs for malaria are greatly needed, and cysteine proteases may provide useful new drug targets. Cysteine protease inhibitors have demonstrated potent antimalarial effects, and the optimisation and testing of falcipain inhibitor antimalarials is underway.     

Transfection of the human malaria parasite Plasmodium falciparum.

In the past few years, methods have been developed which allow the introduction of exogenous DNA into the human malaria parasite Plasmodium falciparum. This important technical advance known as parasite transfection, provides powerful new tools to study the function of Plasmodium proteins and their roles in biology and disease. Already it has allowed the analysis of promoter function and has been successfully applied to establish the role of particular molecules and/or mutations in the biology of this parasite. This review summarises the current state of the technology and how it has been applied to dissect the function of the P. falciparum genome.     

Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes

A key challenge in genetics is identifying the functional roles of genes in pathways. Numerous functional genomics techniques (e.g. machine learning) that predict protein function have been developed to address this question. These methods generally build from existing annotations of genes to pathways and thus are often unable to identify additional genes participating in processes that are not already well studied. Many of these processes are well studied in some organism, but not necessarily in an investigator''s organism of interest. Sequence-based search methods (e.g. BLAST) have been used to transfer such annotation information between organisms. We demonstrate that functional genomics can complement traditional sequence similarity to improve the transfer of gene annotations between organisms. Our method transfers annotations only when functionally appropriate as determined by genomic data and can be used with any prediction algorithm to combine transferred gene function knowledge with organism-specific high-throughput data to enable accurate function prediction.We show that diverse state-of-art machine learning algorithms leveraging functional knowledge transfer (FKT) dramatically improve their accuracy in predicting gene-pathway membership, particularly for processes with little experimental knowledge in an organism. We also show that our method compares favorably to annotation transfer by sequence similarity. Next, we deploy FKT with state-of-the-art SVM classifier to predict novel genes to 11,000 biological processes across six diverse organisms and expand the coverage of accurate function predictions to processes that are often ignored because of a dearth of annotated genes in an organism. Finally, we perform in vivo experimental investigation in Danio rerio and confirm the regulatory role of our top predicted novel gene, wnt5b, in leftward cell migration during heart development. FKT is immediately applicable to many bioinformatics techniques and will help biologists systematically integrate prior knowledge from diverse systems to direct targeted experiments in their organism of study.     

Functional genomics of Plasmodium falciparum through transposon-mediated mutagenesis

Plasmodium falciparum is the causative agent for the most lethal form of human malaria, killing millions annually. Genetic analyses of P. falciparum have been relatively limited due to the lack of robust techniques to manipulate this parasite. Development of transfection technologies and whole genome analyses have helped in understanding the complex biology of this parasite. Even with this wealth of information functional genomics approaches are still very limited in P. falciparum due to the cumbersome and inefficient methods of genetic manipulation. This review focuses on a recently developed, highly efficient method for transposon-based mutagenesis and transgene expression in P. falciparum that will allow functional genomics studies to be performed proficiently on this deadly malaria parasite. By using a piggyBac-based transposition system, multiple random integrations have been obtained into the genome of the parasite. This technique could hence be employed to set up several biological screens in this lethal protozoan parasite that may lead to identification of novel drug targets and vaccine candidates.