Random sheared fosmid library as a new genomic tool to accelerate complete finishing of rice (Oryza sativa spp. Nipponbare) genome sequence: sequencing of gap-specific fosmid clones uncovers new euchromatic portions of the genome

The International Rice Genome Sequencing Project has recently announced the high-quality finished sequence that covers nearly 95% of the japonica rice genome representing 370 Mbp. Nevertheless, the current physical map of japonica rice contains 62 physical gaps corresponding to approximately 5% of the genome, that have not been identified/represented in the comprehensive array of publicly available BAC, PAC and other genomic library resources. Without finishing these gaps, it is impossible to identify the complete complement of genes encoded by rice genome and will also leave us ignorant of some 5% of the genome and its unknown functions. In this article, we report the construction and characterization of a tenfold redundant, 40 kbp insert fosmid library generated by random mechanical shearing. We demonstrated its utility in refining the physical map of rice by identifying and in silico mapping 22 gap-specific fosmid clones with particular emphasis on chromosomes 1, 2, 6, 7, 8, 9 and 10. Further sequencing of 12 of the gap-specific fosmid clones uncovered unique rice genome sequence that was not previously reported in the finished IRGSP sequence and emphasizes the need to complete finishing of the rice genome. Fosmid library reported here is publicly available from our web site     

水稻单核苷酸多态性及其应用现状

单核苷酸多态性（single nucleotide polymorphisms, SNPs）在水稻中数量多,分布密度高,遗传稳定性高。水稻SNPs的发现方法主要有对样本DNA的PCR产物直接测序、从SSR区段检测SNPs和从基因组序列直接搜索等。目前已有多种基因分型技术运用到了水稻SNPs检测,SNPs检测的高度自动化使水稻SNPs基因分型非常方便。单核苷酸多态性在水稻遗传图谱的构建、基因克隆和功能基因组学研究、标记辅助选择育种、遗传资源分类及物种进化等方面的应用具有巨大潜力。     

INE: a rice genome database with an integrated map view

The Rice Genome Research Program (RGP) launched a large-scale rice genome sequencing in 1998 aimed at decoding all genetic information in rice. A new genome database called INE (INtegrated rice genome Explorer) has been developed in order to integrate all the genomic information that has been accumulated so far and to correlate these data with the genome sequence. A web interface based on Java applet provides a rapid viewing capability in the database. The first operational version of the database has been completed which includes a genetic map, a physical map using YAC (Yeast Artificial Chromosome) clones and PAC (P1-derived Artificial Chromosome) contigs. These maps are displayed graphically so that the positional relationships among the mapped markers on each chromosome can be easily resolved. INE incorporates the sequences and annotations of the PAC contig. A site on low quality information ensures that all submitted sequence data comply with the standard for accuracy. As a repository of rice genome sequence, INE will also serve as a common database of all sequence data obtained by collaborating members of the International Rice Genome Sequencing Project (IRGSP). The database can be accessed at http://www. dna.affrc.go.jp:82/giot/INE.html or its mirror site at http://www.staff.or.jp/giot/INE.html     

Comparative DNA sequence analysis of mapped wheat ESTs reveals the complexity of genome relationships between rice and wheat

The use of DNA sequence-based comparative genomics for evolutionary studies and for transferring information from model species to related large-genome species has revolutionized molecular genetics and breeding strategies for improving those crops. Comparative sequence analysis methods can be used to cross-reference genes between species maps, enhance the resolution of comparative maps, study patterns of gene evolution, identify conserved regions of the genomes, and facilitate interspecies gene cloning. In this study, 5,780 Triticeae ESTs that have been physically mapped using wheat (Triticum aestivum L.) deletion lines and segregating populations were compared using NCBI BLASTN to the first draft of the public rice (Oryza sativa L.) genome sequence data from 3,280 ordered BAC/PAC clones. A rice genome view of the homoeologous wheat genome locations based on sequence analysis shows general similarity to the previously published comparative maps based on Southern analysis of RFLP. For most rice chromosomes there is a preponderance of wheat genes from one or two wheat chromosomes. The physical locations of non-conserved regions were not consistent across rice chromosomes. Some wheat ESTs with multiple wheat genome locations are associated with the non-conserved regions of similarity between rice and wheat. The inverse view, showing the relationship between the wheat deletion map and rice genomic sequence, revealed the breakdown of gene content and order at the resolution conferred by the physical chromosome deletions in the wheat genome. An average of 35% of the putative single copy genes that were mapped to the most conserved bins matched rice chromosomes other than the one that was most similar. This suggests that there has been an abundance of rearrangements, insertions, deletions, and duplications eroding the wheat-rice genome relationship that may complicate the use of rice as a model for cross-species transfer of information in non-conserved regions.     

Screening of Rice Genes from the cDNA Catalog Using the Data Obtained by Protein Sequencing

The partial amino acid sequences of 121 rice proteins separated by two-dimensional gel electrophoresis (2D-PAGE), were determined for a protein sequence data file. In the Rice Genome Research Program (RGP), more than 20,000 cDNA clones randomly selected from rice cDNA libraries have been sequenced to construct a cDNA catalog. Complimentary DNAs encoding about 30% of proteins in the protein sequence data file could be identified in the catalog by computer search. It was deduced that 20,000–40,000 genes are present in the rice genome. Only half of about 20,000 cDNAs sequenced in the RGP, corresponding to 1/4–1/2 of genes present in the entire rice genome, should have unique sequences after considering gene redundancy. This is consistent with the fact that the cDNAs encoding about 30% of the sequenced proteins could be identified in the catalog. If the size of the cDNA catalog is enlarged further, cDNAs encoding all proteins separated by 2D-PAGE could be easily identified from the catalog by using the protein sequence data.     

Translocation of a 190-kb mitochondrial fragment into rice chromosome 12 followed by the integration of four retrotransposons

A 190-kb mitochondrial DNA sequence interrupted by seven foreign DNA segments was identified in rice chromosome 12. This fragment is the largest mitochondrial fragment translocated into the rice nuclear genome. The sequence is composed of a 190-kb segment of mitochondrial origin corresponding to 38.79% of the mitochondrial genome, 45 kb comprising four segments of retrotransposon origin, and 13 kb comprising three segments of unknown origin. The 190-kb sequence shows more than 99.68% similarity to the current mitochondrial sequence, suggesting that its integration into the nucleus was quite recent. Several sequences in the 190-kb segment have been rearranged relative to the current mitochondrial sequence, suggesting that the past and present arrangements of the mitochondrial genome differ. The four retrotransposons show no mutual sequence similarity and are integrated into different locations, suggesting that their integration events were independent, frequent, and quite recent. A fragment of the mitochondrial genome present in the nuclear genome, such as the 248-kb sequence characterized in this study, is a good relic with which to investigate the past mitochondrial genome structure and the behavior of independent retrotransposons during evolution.     

Structural and functional analysis of rice genome

Rice is an excellent system for plant genomics as it represents a modest size genome of 430 Mb. It feeds more than half the population of the world. Draft sequences of the rice genome, derived by whole-genome shotgun approach at relatively low coverage (4-6 X), were published and the International Rice Genome Sequencing Project (IRGSP) declared high quality (> 10 X), genetically anchored, phase 2 level sequence in 2002. In addition, phase 3 level finished sequence of chromosomes 1, 4 and 10 (out of 12 chromosomes of rice) has already been reported by scientists from IRGSP consortium. Various estimates of genes in rice place the number at >50,000. Already, over 28,000 full-length cDNAs have been sequenced, most of which map to genetically anchored genome sequence. Such information is very useful in revealing novel features of macroand micro-level synteny of rice genome with other cereals. Microarray analysis is unraveling the identity of rice genes expressing in temporal and spatial manner and should help target candidate genes useful for improving traits of agronomic importance. Simultaneously, functional analysis of rice genome has been initiated by marker-based characterization of useful genes and employing functional knock-outs created by mutation or gene tagging. Integration of this enormous information is expected to catalyze tremendous activity on basic and applied aspects of rice genomics.     

The genetic colinearity of rice and other cereals on the basis of genomic sequence analysis

Small segments of rice genome sequence have been compared with that of the model plant Arabidopsis thaliana and with several closer relatives, including the cereals maize, rice, sorghum, barley and wheat. The rice genome is relatively stable relative to those of other grasses. Nevertheless, comparisons with other cereals have demonstrated that the DNA between cereal genes is highly variable and evolves rapidly. Genic regions have undergone many more small rearrangements than have been revealed by recombinational mapping studies. Tandem gene duplication/deletion is particularly common, but other types of deletions, inversions and translocations also occur. The many thousands of small genic rearrangements within the rice genome complicate but do not negate its use as a model for larger cereal genomes.     

Arabidopsis to rice. Applying knowledge from a weed to enhance our understanding of a crop species

Although Arabidopsis is well established as the premiere model species in plant biology, rice (Oryza sativa) is moving up fast as the second-best model organism. In addition to the availability of large sets of genetic, molecular, and genomic resources, two features make rice attractive as a model species: it represents the taxonomically distinct monocots and is a crop species. Plant structural genomics was pioneered on a genome-scale in Arabidopsis and the lessons learned from these efforts were not lost on rice. Indeed, the sequence and annotation of the rice genome has been greatly accelerated by method improvements made in Arabidopsis. For example, the value of full-length cDNA clones and deep expressed sequence tag resources, obtained in Arabidopsis primarily after release of the complete genome, has been recognized by the rice genomics community. For rice >250,000 expressed sequence tags and 28,000 full-length cDNA sequences are available prior to the completion of the genome sequence. With respect to tools for Arabidopsis functional genomics, deep sequence-tagged lines, inexpensive spotted oligonucleotide arrays, and a near-complete whole genome Affymetrix array are publicly available. The development of similar functional genomics resources for rice is in progress that for the most part has been more streamlined based on lessons learned from Arabidopsis. Genomic resource development has been essential to set the stage for hypothesis-driven research, and Arabidopsis continues to provide paradigms for testing in rice to assess function across taxonomic divisions and in a crop species.     

水稻抗逆相关基因的分子进化分析

植物在进化过程中为了适应外界环境,已经具有一套完整的抵抗外界特殊环境的调控系统。但是,关于水稻抗逆相关基因的分子进化方面的研究还未见报道。文章通过Plant Tolerance Gene Database数据库,获得22个水稻抗逆相关基因。利用比较基因组学和生物信息学方法对水稻抗逆相关基因的进化动态进行研究,结果表明水稻抗逆相关基因在低等植物中比较保守;随着植物的不断进化和生存环境的改变,其基因数量也随之增加。具有相似抗性功能的基因往往具有相似的基因结构和基序(motif)结构。文章还发现4个保守motif 的存在：HRDXK、DXXSXG、LLPR和GXGXXG(X代表任意氨基酸)。在GSK1、RAN2抗逆基因中发现了3个特有的motif结构：GSK1特有的P-rich motif,RAN2特有的G-rich motif和E-rich motif。推测这些保守的motif结构与基因的抗逆功能密切相关。进化速率分析结果表明,尽管植物抗逆性相关基因在进化过程中受到较强的纯化选择作用,但是仍然有50%的抗逆性相关基因存在正选择位点。这些正选择位点的存在有可能为基因适应外界环境变化提供了重要的物质基础。     

Complexity of rice Hsp100 gene family: lessons from rice genome sequence data

Elucidation of genome sequence provides an excellent platform to understand detailed complexity of the various gene families. Hsp100 is an important family of chaperones in diverse living systems. There are eight putative gene loci encoding for Hsp100 proteins in Arabidopsis genome. In rice, two full-length Hsp100 cDNAs have been isolated and sequenced so far. Analysis of rice genomic sequence by in silico approach showed that two isolated rice Hsp100 cDNAs correspond to Os05g44340 and Os02g32520 genes in the rice genome database. There appears to be three additional proteins (encoded by Os03g31300, Os04g32560 and Os04g33210 gene loci) that are variably homologous to Os05g44340 and Os02g32520 throughout the entire amino acid sequence. The above five rice Hsp100 genes show significant similarities in the signature sequences known to be conserved among Hsp100 proteins. While Os05g44340 encodes cytoplasmic Hsp100 protein, those encoded by the other four genes are predicted to have chloroplast transit peptides.     

The institute for genomic research Osa1 rice genome annotation database

We have developed a rice (Oryza sativa) genome annotation database (Osa1) that provides structural and functional annotation for this emerging model species. Using the sequence of O. sativa subsp. japonica cv Nipponbare from the International Rice Genome Sequencing Project, pseudomolecules, or virtual contigs, of the 12 rice chromosomes were constructed. Our most recent release, version 3, represents our third build of the pseudomolecules and is composed of 98% finished sequence. Genes were identified using a series of computational methods developed for Arabidopsis (Arabidopsis thaliana) that were modified for use with the rice genome. In release 3 of our annotation, we identified 57,915 genes, of which 14,196 are related to transposable elements. Of these 43,719 non-transposable element-related genes, 18,545 (42.4%) were annotated with a putative function, 5,777 (13.2%) were annotated as encoding an expressed protein with no known function, and the remaining 19,397 (44.4%) were annotated as encoding a hypothetical protein. Multiple splice forms (5,873) were detected for 2,538 genes, resulting in a total of 61,250 gene models in the rice genome. We incorporated experimental evidence into 18,252 gene models to improve the quality of the structural annotation. A series of functional data types has been annotated for the rice genome that includes alignment with genetic markers, assignment of gene ontologies, identification of flanking sequence tags, alignment with homologs from related species, and syntenic mapping with other cereal species. All structural and functional annotation data are available through interactive search and display windows as well as through download of flat files. To integrate the data with other genome projects, the annotation data are available through a Distributed Annotation System and a Genome Browser. All data can be obtained through the project Web pages at http://rice.tigr.org.     

Rice as a model for cereal genomics.

Over the past two years, selected regions of the rice genome have been sequenced and shown to be colinear at the sequence level with limited regions of other cereal genomes. A large number of expressed gene sequences and molecular markers have accumulated in the public databases. Large insert clone libraries of the rice genome have been constructed, and rice has become an increasingly attractive candidate for whole genome sequencing.     

Genome-wide analysis of conservation and divergence of microsatellites in rice

Studies on microsatellite distribution and divergence in related genomes contribute towards understanding of genome evolution in eukaryotes. Despite the availability of whole genome sequences of four rice genomes, occurrence and significance of microsatellites in the rice genome has remained a relatively unexplored area of research. We have aligned genomes of two rice subspecies i.e. indica and japonica to understand the trends of microsatellite conservation and divergence in the rice genome. Nearly 62% of the indica microsatellites were also found in the japonica genome. Occurrence of microsatellites showed a negative association with that of retrotransposons. Microsatellites repeat unit length and sequence showed direct influence on the microsatellite locus length. Further, microsatellite allele length was also influenced by the sequence characteristics of the neighbouring regions. CCG repeats were most conserved microsatellite sequences across the different syntenic regions in the two rice genomes and often showed association with CpG islands. Our study suggested that microsatellite distribution is not only governed by a balance between replication slippage and point mutations as proposed earlier, but also by the microsatellite motif sequence and characteristics of microsatellite neighbouring regions in the genome. Thus, this study is likely to prove an important reference for understanding the process of microsatellite evolution and dynamics in the two rice subspecies.     

Tnr8, a foldback transposable element from rice

An insertion sequence 418 bp in length was found in one member of rice retroposon p-SINE1 in Oryza glaberrima. This sequence had long terminal inverted repeats (TIRs) and is flanked by direct repeats of a 9-bp sequence at the target site, indicative that the insertion sequence is a rice transposable element, which we named Tnr8. Interestingly, each TIR sequence consisted of a unique 9-bp terminal sequence and six tandem repeats of a sequence about 30 bp in length, like the foldback transposable element first identified in Drosophila. A homology search of databases and analysis by PCR revealed that a large number of Tnr8 members with sequence variations were present in the rice genome. Some of these members were not present at given loci in several rice species with the AA genome. These findings suggest that the Tnr8 family members transposed long ago, but some appear to have mobilized after rice strains with the AA genome diverged. The Tnr8 members are thought to be involved in rearrangements of the rice genome.