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.     

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.     

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。     

Genetic mapping of hypervariable minisatellite sequences in rice (Oryza sativa L.)

Minisatellites, or DNA fingerprinting sequences, have been utilized in animal linkage studies for several years but have not been used as markers for plant genome mapping. In animal genome mapping they have resulted in limited success because they are evenly dispersed in some species but are often clustered near telomeric regions, as observed on human chromosomes. The purpose of the present study was to generate DNA fingerprints utilizing several rice-derived minisatellites containing different core sequences and numbers of repeat units, followed by assessing their potential for use as genetic markers when mapped to a rice recombinant inbred line (RIL) population. Sites of segregating minisatellite loci were mapped onto 11 of the 12 rice RIL linkage maps. The implications for the use of rice minisatellite core sequences as genetic markers on linkage maps in rice are discussed. Received: 1 March 1999 / Accepted: 22 June 1999     

Rice genome organization: the centromere and genome interactions

Over the last decade, many varied resources have become available for genome studies in rice. These resources include over 4000 DNA markers, several bacterial artificial chromosome (BAC) libraries, P-1 derived artificial chromosome (PAC) libraries and yeast artificial chromosome (YAC) libraries (genomic DNA clones, filters and end-sequences), retrotransposon tagged lines, and many chemical and irradiated mutant lines. Based on these, high-density genetic maps, cereal comparative maps, YAC and BAC physical maps, and quantitative trait loci (QTL) maps have been constructed, and 93 % of the genome has also been sequenced. These data have revealed key features of the genetic and physical structure of the rice genome and of the evolution of cereal chromosomes. This Botanical Briefing examines aspects of how the rice genome is organized structurally, functionally and evolutionarily. Emphasis is placed on the rice centromere, which is composed of long arrays of centromere-specific repetitive sequences. Differences and similarities amongst various cereal centromeres are detailed. These indicate essential features of centromere function. Another view of various kinds of interactive relationships within and between genomes, which could play crucial roles in genome organization and evolution, is also introduced. Constructed genetic and physical maps indicate duplication of chromosomal segments and spatial association between specific chromosome regions. A genome-wide survey of interactive genetic loci has identified various reproductive barriers that may drive speciation of the rice genome. The significance of these findings in genome organization and evolution is discussed.     

How can we deliver the large plant genomes? Strategies and perspectives

The first sequenced plant genome, from the small mustard plant Arabidopsis thaliana, was published at the end of 2000. The sequencing of the rice genome is well under way. The sizes of plant genomes vary by a factor of up to 1000, and many important crop plants have genomes that are several times larger than the human genome. To gain insight into the gene toolbox of plant species, numerous large-scale EST sequencing projects have been launched successfully, and analysis procedures are constantly being refined to add maximum value to the sequence data. In addition, an alternative approach to exclude repetitive noncoding DNA and to enrich sequence libraries for gene-containing genomic regions has been developed. This strategy has the potential to deliver information about both genes and regulatory regions outside the transcribed regions.     

Tri-nucleotide repeats and their association with genes in rice genome

Tri-nucleotide repeats (TNRs) are extremely abundant in rice genome, of which CCG/CGG repeats have an advantage over other repeats, with approximate half of all the TNRs in the genome. Our results show that rice genome has relatively abundant TNRs with high GC content, and containing only purines or pyrimidines under the same GC content. The AAT/ATT repeats that occur predominantly in intergenic and intronic regions have a considerably higher average length than that of other repeats. The highest frequency of TNRs occurs in 5'-UTR regions, followed by in coding and 5'-flanking regions. Purines-rich TNRs prefer to the coding regions, but pyrimidines-rich TNRs exhibit a stronger bias to upstream regions, suggesting that they might be considered as the regulatory elements in gene expression. As if TNRs located predominantly near the start of coding regions do not significantly influence on the protein function.     

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.     

Tri-nucleotide repeats and their association with genes in rice genome

Tri-nucleotide repeats (TNRs) are extremely abundant in rice genome, of which CCG/CGG repeats have an advantage over other repeats, with approximate half of all the TNRs in the genome. Our results show that rice genome has relatively abundant TNRs with high GC content, and containing only purines or pyrimidines under the same GC content. The AAT/ATT repeats that occur predominantly in intergenic and intronic regions have a considerably higher average length than that of other repeats. The highest frequency of TNRs occurs in 5′-UTR regions, followed by in coding and 5′-flanking regions. Purines-rich TNRs prefer to the coding regions, but pyrimidines-rich TNRs exhibit a stronger bias to upstream regions, suggesting that they might be considered as the regulatory elements in gene expression. As if TNRs located predominantly near the start of coding regions do not significantly influence on the protein function.     

The extent of linkage disequilibrium in rice (Oryza sativa L.)

Despite its status as one of the world's major crops, linkage disequilibrium (LD) patterns have not been systematically characterized across the genome of Asian rice (Oryza sativa). Such information is critical to fully exploit the genome sequence for mapping complex traits using association techniques. Here we characterize LD in five 500-kb regions of the rice genome in three major cultivated rice varieties (indica, tropical japonica, and temperate japonica) and in the wild ancestor of Asian rice, Oryza rufipogon. Using unlinked SNPs to determine the amount of background linkage disequilibrium in each population, we find that the extent of LD is greatest in temperate japonica (probably >500 kb), followed by tropical japonica (approximately 150 kb) and indica (approximately 75 kb). LD extends over a shorter distance in O. rufipogon (<40 kb) than in any of the O. sativa groups assayed here. The differences in the extent of LD among these groups are consistent with differences in outcrossing and recombination rate estimates. As well as heterogeneity between groups, our results suggest variation in LD patterns among genomic regions. We demonstrate the feasibility of genomewide association mapping in cultivated Asian rice using a modest number of SNPs.     

Advances in Transgenic Rice Biotechnology

Rice is the most amenable crop plant for genetic manipulation amongst monocots due to its small genome size, enriched genetic map, availability of entire genome sequence, and relative ease of transformation. Improvement in agronomic traits of rice is bound to affect a sizeable population since it is a primary source of sustenance. Recent advances like use of ‘clean gene’ technology or matrix attachment regions would help improve rice transformation. Function of several novel genes and their promoters has been analyzed in transgenic rice. Significant progress has been made in introducing traits like herbicide, biotic stress and abiotic stress tolerance. Attempts also have been made to enhance nutritional characteristics of the grain and yield. Identification of genes controlling growth and development can be used to modify plant architecture and heading period. Transgenic rice can serve as a biofactory for the production of molecules of pharmaceutical and industrial utility. The drive to apply transgenic rice for public good as well as commercial gains has fueled research to an all time high. Successful field trials and biosafety of transgenic rice have been reported. This would act as a catalyst for greater acceptance of genetically modified food crops. The lessons learnt from rice can be extended to other cereals thereby opening new opportunities and possibilities.     

Analysis of collinear regions of Oryza AA and CC genomes

Comparative analyses of genome structure and sequence of closely related species have yielded insights into the evolution and function of plant genomes. A total of 103,844 BAC end sequences delegated -73.8 Mb of O. officinalis that belongs to the CC genome type of the rice genus Oryza were obtained and compared with the genome sequences office cultivar, O. sativa ssp.japonica cv. Nipponbare. We found that more than 45% of O. officinalis genome consists of repeat sequences, which is higher than that of Nipponbare cultivar. To further investigate the evolutionary divergence of AA and CC genomes, two BAC-contigs of O. officinalis were compared with the collinear genomic regions of Nipponbare. Of 57 genes predicted in the AA genome orthologous regions, 39 had orthologs in the regions of the CC genome. Alignment of the orthologous regions indicated that the CC genome has undergone expansion in both genic and intergenic regions through primarily retroelement insertion. Particularly, the density of RNA transposable elements was 17.95% and 1.78% in O. officinalis and O. sativa, respectively. This explains why the orthologous region is about 100 kb longer in the CC genome in comparison to the AA genome.     

Detailed Comparative Mapping of Cereal Chromosome Regions Corresponding to the Ph1 Locus in Wheat

Detailed physical mapping of markers from rice chromosome 9, and from syntenous (at the genetic level) regions of other cereal genomes, has resulted in rice yeast artificial chromosome (YAC) contigs spanning parts of rice 9. This physical mapping, together with comparative genetic mapping, has demonstrated that synteny has been largely maintained between the genomes of several cereals at the level of contiged YACs. Markers located in one region of rice chromosome 9 encompassed by the YAC contigs have exhibited restriction fragment length polymorphism (RFLP) using deletion lines for the Ph1 locus. This has allowed demarcation of the region of rice chromosome 9 syntenous with the ph1b and ph1c deletions in wheat chromosome 5B. A group of probes located in wheat homoeologous group 5 and barley chromosome 5H, however, have synteny with rice chromosomes other than 9. This suggests that the usefulness of comparative trait analysis and of the rice genome as a tool to facilitate gene isolation will differ from one region to the next, and implies that the rice genome is more ancestral in structure than those of the Triticeae.     

Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.)

Microsatellite markers containing simple sequence repeats (SSR) are a valuable tool for genetic analysis. Our objective is to augment the existing RFLP map of rice with simple sequence length polymorphisms (SSLP). In this study, we describe 20 new microsatellite markers that have been assigned to positions along the rice chromosomes, characterized for their allelic diversity in cultivated and wild rice, and tested for amplification in distantly related species. Our results indicate that the genomic distribution of microsatellites in rice appears to be random, with no obvious bias for, or clustering in particular regions, that mapping results are identical in intersubspecific and interspecific populations, and that amplification in wild relatives ofOryza sativa is reliable in species most closely related to cultivated rice but becomes less successful as the genetic distance increases. Sequence analysis of SSLP alleles in three relatedindica varieties demonstrated the clustering of complex arrays of SSR motifs in a single 300-bp region with independent variation in each. Two microsatellite markers amplified multiple loci that were mapped onto independent rice chromosomes, suggesting the presence of duplicated regions within the rice genome. The availability of increasing numbers of mapped SSLP markers can be expected to increase the power and resolution of genome analysis in rice.     

Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.)

Microsatellite markers containing simple sequence repeats (SSR) are a valuable tool for genetic analysis. Our objective is to augment the existing RFLP map of rice with simple sequence length polymorphisms (SSLP). In this study, we describe 20 new microsatellite markers that have been assigned to positions along the rice chromosomes, characterized for their allelic diversity in cultivated and wild rice, and tested for amplification in distantly related species. Our results indicate that the genomic distribution of microsatellites in rice appears to be random, with no obvious bias for, or clustering in particular regions, that mapping results are identical in intersubspecific and interspecific populations, and that amplification in wild relatives ofOryza sativa is reliable in species most closely related to cultivated rice but becomes less successful as the genetic distance increases. Sequence analysis of SSLP alleles in three relatedindica varieties demonstrated the clustering of complex arrays of SSR motifs in a single 300-bp region with independent variation in each. Two microsatellite markers amplified multiple loci that were mapped onto independent rice chromosomes, suggesting the presence of duplicated regions within the rice genome. The availability of increasing numbers of mapped SSLP markers can be expected to increase the power and resolution of genome analysis in rice.     

Simple sequence repeats in organellar genomes of rice: frequency and distribution in genic and intergenic regions

MOTIVATION: Simple sequence repeats (SSRs) are abundant across genomes. However, the significance of SSRs in organellar genomes of rice has not been completely understood. The availability of organellar genome sequences allows us to understand the organization of SSRs in their genic and intergenic regions. RESULTS: We have analyzed SSRs in mitochondrial and chloroplast genomes of rice. We identified 2528 SSRs in the mitochondrial genome and average 870 SSRs in the chloroplast genomes. About 8.7% of the mitochondrial and 27.5% of the chloroplast SSRs were observed in the genic region. Dinucleotides were the most abundant repeats in genic and intergenic regions of the mitochondrial genome while mononucleotides were predominant in the chloroplast genomes. The rps and nad gene clusters of mitochondria had the maximum repeats, while the rpo and ndh gene clusters of chloroplast had the maximum repeats. We identified SSRs in both organellar genomes and validated in different cultivars and species.     

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.