Anchoring of rice BAC clones to the rice genetic map in silico

A wealth of molecular resources have been developed for rice genomics, including dense genetic maps, expressed sequence tags (ESTs), yeast artificial chromosome maps, bacterial artificial chromosome (BAC) libraries and BAC end sequence databases. Integration of genetic and physical maps involves labor-intensive empirical experiments. To accelerate the integration of the bacterial clone resources with the genetic map for the International Rice Genome Sequencing Project, we cleaned and filtered the available EST and BAC end sequences for repetitive sequences and then searched all available rice genetic markers with our filtered databases. We identified 418 genetic markers that aligned with at least one BAC end sequence with >95% sequence identity, providing a set of large insert clones with an average separation of 1 Mb that can serve as nucleation points for the sequencing phase of the International Rice Genome Sequencing Project.     

An integrated physical and genetic map of the rice genome

Rice was chosen as a model organism for genome sequencing because of its economic importance, small genome size, and syntenic relationship with other cereal species. We have constructed a bacterial artificial chromosome fingerprint–based physical map of the rice genome to facilitate the whole-genome sequencing of rice. Most of the rice genome (~90.6%) was anchored genetically by overgo hybridization, DNA gel blot hybridization, and in silico anchoring. Genome sequencing data also were integrated into the rice physical map. Comparison of the genetic and physical maps reveals that recombination is suppressed severely in centromeric regions as well as on the short arms of chromosomes 4 and 10. This integrated high-resolution physical map of the rice genome will greatly facilitate whole-genome sequencing by helping to identify a minimum tiling path of clones to sequence. Furthermore, the physical map will aid map-based cloning of agronomically important genes and will provide an important tool for the comparative analysis of grass genomes.     

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     

International Rice Genome Sequencing Project: the effort to completely sequence the rice genome

The International Rice Genome Sequencing Project (IRGSP) involves researchers from ten countries who are working to completely and accurately sequence the rice genome within a short period. Sequencing uses a map-based clone-by-clone shotgun strategy; shared bacterial artificial chromosome/P1-derived artificial chromosome libraries have been constructed from Oryza sativa ssp. japonica variety 'Nipponbare'. End-sequencing, fingerprinting and marker-aided PCR screening are being used to make sequence-ready contigs. Annotated sequences are immediately released for public use and are made available with supplemental information at each IRGSP member's website. The IRGSP works to promote the development of rice and cereal genomics in addition to producing genome sequence data.     

A plant-transformation-competent BIBAC/BAC-based map of rice for functional analysis and genetic engineering of its genomic sequence.

Sequencing of the rice genome has provided a platform for functional genomics research of rice and other cereal species. However, multiple approaches are needed to determine the functions of its genes and sequences and to use the genome sequencing results for genetic improvement of cereal crops. Here, we report a plant-transformation-competent, binary bacterial artificial chromosome (BIBAC) and bacterial artificial chromosome (BAC) based map of rice to facilitate these studies. The map was constructed from 20 835 BIBAC and BAC clones, and consisted of 579 overlapping BIBAC/BAC contigs. To facilitate functional analysis of chromosome 8 genomic sequence and cloning of the genes and QTLs mapped to the chromosome, we anchored the chromosomal contigs to the existing rice genetic maps. The chromosomal map consists of 11 contigs, 59 genetic markers, and 36 sequence tagged sites, spanning a total of ca. 38 Mb in physical length. Comparative analysis between the genetic and physical maps of chromosome 8 showed that there are 3 "hot" and 2 "cold" spots of genetic recombination along the chromosomal arms in addition to the "cold spot" in the centromeric region, suggesting that the sequence component contents of a chromosome may affect its local genetic recombination frequencies. Because of its plant transformability, the BIBAC/BAC map could provide a platform for functional analysis of the rice genome sequence and effective use of the sequencing results for gene and QTL cloning and molecular breeding.     

Rice functional genomics research in China

Rice functional genomics is a scientific approach that seeks to identify and define the function of rice genes, and uncover when and how genes work together to produce phenotypic traits. Rapid progress in rice genome sequencing has facilitated research in rice functional genomics in China. The Ministry of Science and Technology of China has funded two major rice functional genomics research programmes for building up the infrastructures of the functional genomics study such as developing rice functional genomics tools and resources. The programmes were also aimed at cloning and functional analyses of a number of genes controlling important agronomic traits from rice. National and international collaborations on rice functional genomics study are accelerating rice gene discovery and application.     

Construction and utility of 10-kb libraries for efficient clone-gap closure for rice genome sequencing

Rice is an important crop and a model system for monocot genomics, and is a target for whole genome sequencing by the International Rice Genome Sequencing Project (IRGSP). The IRGSP is using a clone by clone approach to sequence rice based on minimum tiles of BAC or PAC clones. For chromosomes 10 and 3 we are using an integrated physical map based on two fingerprinted and end-sequenced BAC libraries to identifying a minimum tiling path of clones. In this study we constructed and tested two rice genomic libraries with an average insert size of 10 kb (10-kb library) to support the gap closure and finishing phases of the rice genome sequencing project. The HaeIII library contains 166,752 clones covering approximately 4.6x rice genome equivalents with an average insert size of 10.5 kb. The Sau3AI library contains 138,960 clones covering 4.2x genome equivalents with an average insert size of 11.6 kb. Both libraries were gridded in duplicate onto 11 high-density filters in a 5 x 5 pattern to facilitate screening by hybridization. The libraries contain an unbiased coverage of the rice genome with less than 5% contamination by clones containing organelle DNA or no insert. An efficient method was developed, consisting of pooled overgo hybridization, the selection of 10-kb gap spanning clones using end sequences, transposon sequencing and utilization of in silico draft sequence, to close relatively small gaps between sequenced BAC clones. Using this method we were able to close a majority of the gaps (up to approximately 50 kb) identified during the finishing phase of chromosome-10 sequencing. This method represents a useful way to close clone gaps and thus to complete the entire rice genome.     

Chicken genomics charts a path to the genome sequence.

In this paper, the current status of chicken genomics is reviewed. This is timely given the current intense activity centred on sequencing the complete genome of this model species. The genome project is based on a decade of map building by genetic linkage and cytogenetic methods, which are now being replaced by high-resolution radiation hybrid and bacterial artificial chromosome (BAC) contig maps. Markers for map building have generally depended on labour-intensive screening procedures, but in recent years this has changed with the availability of almost 500,000 chicken expressed sequence tags (ESTs). These resources and tools will be critical in the coming months when the chicken genome sequence is being assembled (eg cross-checked with other maps) and annotated (eg gene structures based on ESTs). The future for chicken genome and biological research is an exciting one, through the integration of these resources. For example, through the proposed chicken Ensembl database, it will be possible to solve challenging scientific questions by exploiting the power of a chicken model. One area of interest is the study of developmental mechanisms and the discovery of regulatory networks throughout the genome. Another is the study of the molecular nature of quantitative genetic variation. No other animal species have been phenotyped and selected so intensively as agricultural animals and thus there is much to be learned in basic and medical biology from this research.     

中国科学家绘制籼稻高质量参考基因组序列图谱

2005年多国合作的国际水稻(Oryza sativa)基因组测序项目绘制了粳稻(O.sativa subsp.japonica)品种日本晴的参考基因组序列。最近,中国科学家发布了2个籼稻(O.sativa subsp.indica)品种(明恢63和珍汕97)的高质量参考基因组序列,为籼稻的功能基因组学研究和分子育种应用提供了便利。     

Tick genomics: the Ixodes genome project and beyond

Ticks and mites (subphylum Chelicerata; subclass Acari) include important pests of animals and plants worldwide. The Ixodes scapularis (black-legged tick) genome sequencing project marks the beginning of the genomics era for the field of acarology. This project is the first to sequence the genome of a blood-feeding tick vector of human disease and a member of the subphylum Chelicerata. Genome projects for other species of Acari are forthcoming and their genome sequences will likely feature significantly in the future of tick research. Parasitologists interested in advancing the field of tick genomics research will be faced with specific challenges. The development of genetic tools and resources, and the size and repetitive nature of tick genomes are important considerations. Innovative approaches may be required to sequence, assemble, annotate and analyse tick genomes. Overcoming these challenges will enable scientists to investigate the genes and genome organisation of this important group of arthropods and may ultimately lead to new solutions for control of ticks and tick-borne diseases.     

Yeast Artificial Chromosome Clones of Rice Chromosome 2 Ordered Using DNA Markers

Yeast artificial chromosome (YAC) clones were ordered for thephysical mapping of rice chromosome 2, the last of the 12 ricechromosomes to be assigned YACs by the Rice Genome ResearchProgram. A total of 128 restriction fragment length polymorphismmarkers and 4 sequence-tagged site (STS) markers located onour high-density genetic map were used for YAC clone landing.By colony/Southern hybridization and polymerase chain reactionscreening, a total of 239 individual YACs were selected fromour YAC library of 6934 clones covering six genome equivalents.The YACs located on the corresponding marker positions in thelinkage map formed 43 contigs and islands and were estimatedto encompass about 50% of the length of rice chromosome 2.     

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.     

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     

National Science Foundation-sponsored workshop report. Draft plan for soybean genomics

Recent efforts to coordinate and define a research strategy for soybean (Glycine max) genomics began with the establishment of a Soybean Genetics Executive Committee, which will serve as a communication focal point between the soybean research community and granting agencies. Secondly, a workshop was held to define a strategy to incorporate existing tools into a framework for advancing soybean genomics research. This workshop identified and ranked research priorities essential to making more informed decisions as to how to proceed with large scale sequencing and other genomics efforts. Most critical among these was the need to finalize a physical map and to obtain a better understanding of genome microstructure. Addressing these research needs will require pilot work on new technologies to demonstrate an ability to discriminate between recently duplicated regions in the soybean genome and pilot projects to analyze an adequate amount of random genome sequence to identify and catalog common repeats. The development of additional markers, reverse genetics tools, and bioinformatics is also necessary. Successful implementation of these goals will require close coordination among various working groups.     

Rice TOGO Browser: A platform to retrieve integrated information on rice functional and applied genomics

The Rice TOGO Browser is an online public resource designed to facilitate integration and visualization of mapping data of bacterial artificial chromosome (BAC)/P1-derived artificial chromosome (PAC) clones, genes, restriction fragment length polymorphism (RFLP)/simple sequence repeat (SSR) markers and phenotype data represented as quantitative trait loci (QTLs) onto the genome sequence, and to provide a platform for more efficient utilization of genome information from the point of view of applied genomics as well as functional genomics. Three search options, namely keyword search, region search and trait search, generate various types of data in a user-friendly interface with three distinct viewers, a chromosome viewer, an integrated map viewer and a sequence viewer, thereby providing the opportunity to view the position of genes and/or QTLs at the chromosomal level and to retrieve any sequence information in a user-defined genome region. Furthermore, the gene list, marker list and genome sequence in a specified region delineated by RFLP/SSR markers and any sequences designed as primers can be viewed and downloaded to support forward genetics approaches. An additional feature of this database is the graphical viewer for BLAST search to reveal information not only for regions with significant sequence similarity but also for regions adjacent to those with similarity but with no hits between sequences. An easy to use and intuitive user interface can help a wide range of users in retrieving integrated mapping information including agronomically important traits on the rice genome sequence. The database can be accessed at http://agri-trait.dna.affrc.go.jp/.     

Plant genomics: present state and a perspective on future developments.

The year 2001 may well be called the Year of the Human Genome. Less in the limelight, but equally exciting for plant scientists, is the rapid progress in plant genomics. With relatively modest resources, a lot has been achieved. The Arabidopsis genomic sequence (125 megabases [Mb]) is essentially finished, and rice sequencing is progressing rapidly. For many species, expressed sequence tag (EST) resources are plentiful, allowing broad inter-specific comparisons. At the same time, development of integrated physical-genetic maps for large-genome crop species is not progressing as rapidly as desired, while resources for the complete sequencing of these crops are not likely to become available. Some important plant genomes are so large that their complete sequencing may not be practical for many years. Significant plant genome research is concentrated in industry, and not freely available, creating some frustration in the academic community. Growing interest is anticipated in the development of metabolic profiling technologies, RNA profiling, proteomics and integrated systems approaches to plant biology.