151
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Khan MMK, Komatsu S. Rice proteomics: recent developments and analysis of nuclear proteins. PHYTOCHEMISTRY 2004; 65:1671-1681. [PMID: 15276429 DOI: 10.1016/j.phytochem.2004.04.012] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2003] [Revised: 04/06/2004] [Indexed: 05/24/2023]
Abstract
Rice is the most important cereal crop in Asia, and is considered as a model cereal plant for genetic and molecular studies. An immense progress has been made in rice genome sequence analysis during the last decade. This prompted the researcher to identify the functions, modifications, and regulations of every encoded protein. Proteome analysis provides information to predict the translation and relative concentration of gene products, including the extent of modification, none of which can be accurately predicted from the nucleic acid sequence alone. During the last couple of years, considerable researches were conducted to analyze rice proteome, and only recently a remarkable progress has been made to systematically analyze and characterize the functional role of various tissues and organelles in rice. In this review, the rice proteomic research has been compiled and also presented a comprehensive analysis of rice nuclear proteins. In rice nucleus, 549 proteins were resolved using 2D-PAGE. Among them, 257 proteins were systematically analyzed by Edman sequencing and mass spectrometry and identified 190 proteins following database searching (http://gene64.dna.affrc.go.jp/RPD/main.html). The identified proteins were sorted into different functional categories. In these data, the proteins involved in signaling and gene regulations dominated others, reflecting the role of nucleus in gene expression and regulation.
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Affiliation(s)
- Md Monowar Karim Khan
- Department of Molecular Genetics, National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba 305-8602, Japan
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152
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Noir S, Patheyron S, Combes MC, Lashermes P, Chalhoub B. Construction and characterisation of a BAC library for genome analysis of the allotetraploid coffee species (Coffea arabica L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2004; 109:225-30. [PMID: 14997299 DOI: 10.1007/s00122-004-1604-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2003] [Accepted: 01/19/2004] [Indexed: 05/07/2023]
Abstract
In order to promote genome research on coffee trees, one of the most important tropical crops, a bacterial artificial chromosome (BAC) library of the coffee allotetraploid species, Coffea arabica, was constructed. The variety IAPAR 59, which is widely distributed in Latin America and exhibits a fair level of resistance to several pathogens, was chosen. High-efficiency BAC cloning of the high molecular weight genomic DNA partially digested by HindIII was achieved. In total, the library contains 88,813 clones with an average insert size of 130 kb, and represents approximately eight C. arabica dihaploid genome equivalents. One original feature of this library is that it can be divided into four sublibraries with mean insert sizes of 96, 130, 183 and 210 kb. Characterisation of the library showed that less than 4.5% of the clones contained organelle DNA. Furthermore, this library is representative and shows good genome coverage, as established by hybridisation screening of high-density filters using a number of nuclear probes distributed across the allotetraploid genome. This Arabica BAC library, the first large-insert DNA library so far constructed for the genus Coffea, is well-suited for many applications in genome research, including physical mapping, map-based cloning, functional and comparative genomics as well as polyploid genome analyses.
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Affiliation(s)
- S Noir
- IRD, GeneTrop, BP 64501, 34394 Montpellier Cedex 5, France
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153
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Salse J, Piégu B, Cooke R, Delseny M. New in silico insight into the synteny between rice (Oryza sativa L.) and maize (Zea mays L.) highlights reshuffling and identifies new duplications in the rice genome. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2004; 38:396-409. [PMID: 15086801 DOI: 10.1111/j.1365-313x.2004.02058.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
A unigene set of 1411 contigs was constructed from 2629 redundant maize expressed sequence tags (ESTs) mapped on the maizeDB genetic map. Rice orthologous sequences were identified by blast alignment against the rice genomic sequence. A total of 1046 (74%) maize contigs were associated with their corresponding homologues in the rice genome and 656 (47%) defined as potential orthologous relationships. One hundred and seventeen (8%) maize EST contigs mapped to two distinct loci on the maize genetic map, reflecting the tetraploid nature of the maize genome. Among 492 mono-locus contigs, 344 (484 redundant ESTs) identify collinear blocks between maize chromosomes 2 and 4 and a single rice chromosome, defining six new collinear regions. Fine-scale analysis of collinearity between rice chromosomes 1 and 5 with maize chromosomes 3, 6 and 8 shows the presence of internal rearrangements within collinear regions. Mapping of maize contigs to two distinct loci on the rice sequence identifies five new duplication events in rice. Detailed analysis of a duplication between rice chromosomes 1 and 5 shows that 11% of the annotated genes from the chromosome 1 locus are found duplicated on the chromosome 5 paralogous counterpart, indicating a high degree of re-organisations. The implications of these findings for map-based cloning in collinear regions are discussed.
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Affiliation(s)
- Jérôme Salse
- Laboratoire Génome et Développement des Plantes (LGDP), Université de Perpignan (Centre National de la Recherche Scientifique, UMR 5096), 66860 Perpignan Cedex, France
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154
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Soranzo N, Sari Gorla M, Mizzi L, De Toma G, Frova C. Organisation and structural evolution of the rice glutathione S-transferase gene family. Mol Genet Genomics 2004. [PMID: 15069639 DOI: 10.1007/s00438‐004‐1006‐8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Glutathione S-transferases (GSTs) comprise a large family of key defence enzymes against xenobiotic toxicity. Here we describe the comprehensive characterisation of this important multigene family in the model monocot species rice [ Oryza sativa(L.)]. Furthermore, we investigate the molecular evolution of the family based on the analysis of (1) the patterns of within-genome duplication, and (2) the phylogenetic relationships and evolutionary divergence among rice, Arabidopsis, maize and soybean GSTs. By in-silico screening of the EST and genome divisions of the Genbank/EMBL/DDBJ database we have isolated 59 putative genes and two pseudogenes, making this the largest plant GST family characterised to date. Of these, 38 (62%) are represented by genomic and EST sequences and 23 (38%) are known only from their genomic sequences. A preliminary survey of EST collections shows a large degree of variability in gene expression between different tissues and environmental conditions, with a small number of genes (13) accounting for 80% of all ESTs. Rice GSTs are organised in four main phylogenetic classes, with 91% of all rice genes belonging to the two plant-specific classes Tau (40 genes) and Phi (16 genes). Pairwise identity scores range between 17 and 98% for proteins of the same class, and 7 and 21% for interclass comparisons. Rapid evolution by gene duplication is suggested by the discovery of two large clusters of 7 and 23 closely related genes on chromosomes 1 and 10, respectively. A comparison of the complete GST families in two monocot and two dicot species suggests a monophyletic origin for all Theta and Zeta GSTs, and no more than three common ancestors for all Phi and Tau genes.
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Affiliation(s)
- N Soranzo
- Department of Biomolecular Sciences and Biotechnology, University of Milan, Via Celoria 26, 20133, Milano, Italy
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155
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Tanaka N, Fujita M, Handa H, Murayama S, Uemura M, Kawamura Y, Mitsui T, Mikami S, Tozawa Y, Yoshinaga T, Komatsu S. Proteomics of the rice cell: systematic identification of the protein populations in subcellular compartments. Mol Genet Genomics 2004; 271:566-76. [PMID: 15069638 DOI: 10.1007/s00438-004-1002-z] [Citation(s) in RCA: 82] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2003] [Accepted: 02/26/2004] [Indexed: 10/26/2022]
Abstract
Despite recent progress in sequencing the complete genome of rice ( Oryza sativa), the proteome of this species remains poorly understood. To extend our knowledge of the rice proteome, the subcellular compartments, which include plasma membranes (PM), vacuolar membranes (VM), Golgi membranes (GM), mitochondria (MT), and chloroplasts (CP), were purified from rice seedlings and cultured suspension cells. The proteins of each of these compartments were then systematically analyzed using two-dimensional (2D) electrophoresis, mass spectrometry, and Edman sequencing, followed by database searching. In all, 58 of the 464 spots detected by 2D electrophoresis in PM, 43 of the 141 spots in VM, 46 of the 361 spots in GM, 146 in the 672 spots in MT, and 89 of the 252 spots in CP could be identified by this procedure. The characterized proteins were found to be involved in various processes, such as respiration and the citric acid cycle in MT; photosynthesis and ATP synthesis in CP; and antifungal defense and signal systems in the membranes. Edman degradation revealed that 60-98% of N-terminal sequences were blocked, and the ratios of blocked to unblocked proteins in the proteomes of the various subcellular compartments differed. The data on the proteomes of subcellular compartments in rice will be valuable for resolving questions in functional genomics as well as for genome-wide exploration of plant function.
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Affiliation(s)
- N Tanaka
- Department of Molecular Genetics, National Institute of Agrobiological Sciences, 305-8602, Tsukuba, Japan
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156
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Wu J, Yamagata H, Hayashi-Tsugane M, Hijishita S, Fujisawa M, Shibata M, Ito Y, Nakamura M, Sakaguchi M, Yoshihara R, Kobayashi H, Ito K, Karasawa W, Yamamoto M, Saji S, Katagiri S, Kanamori H, Namiki N, Katayose Y, Matsumoto T, Sasaki T. Composition and structure of the centromeric region of rice chromosome 8. THE PLANT CELL 2004; 16:967-76. [PMID: 15037733 PMCID: PMC412870 DOI: 10.1105/tpc.019273] [Citation(s) in RCA: 88] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Understanding the organization of eukaryotic centromeres has both fundamental and applied importance because of their roles in chromosome segregation, karyotypic stability, and artificial chromosome-based cloning and expression vectors. Using clone-by-clone sequencing methodology, we obtained the complete genomic sequence of the centromeric region of rice (Oryza sativa) chromosome 8. Analysis of 1.97 Mb of contiguous nucleotide sequence revealed three large clusters of CentO satellite repeats (68.5 kb of 155-bp repeats) and >220 transposable element (TE)-related sequences; together, these account for approximately 60% of this centromeric region. The 155-bp repeats were tandemly arrayed head to tail within the clusters, which had different orientations and were interrupted by TE-related sequences. The individual 155-bp CentO satellite repeats showed frequent transitions and transversions at eight nucleotide positions. The 40 TE elements with highly conserved sequences were mostly gypsy-type retrotransposons. Furthermore, 48 genes, showing high BLAST homology to known proteins or to rice full-length cDNAs, were predicted within the region; some were close to the CentO clusters. We then performed a genome-wide survey of the sequences and organization of CentO and RIRE7 families. Our study provides the complete sequence of a centromeric region from either plants or animals and likely will provide insight into the evolutionary and functional analysis of plant centromeres.
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MESH Headings
- Base Composition
- Base Sequence
- Centromere/genetics
- Chromosomes, Artificial, Bacterial/genetics
- Chromosomes, Artificial, P1 Bacteriophage/genetics
- Chromosomes, Plant/genetics
- Conserved Sequence
- DNA Transposable Elements/genetics
- DNA, Plant/chemistry
- DNA, Plant/genetics
- DNA, Satellite/genetics
- Genome, Plant
- Molecular Sequence Data
- Oryza/genetics
- Physical Chromosome Mapping
- Repetitive Sequences, Nucleic Acid
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Affiliation(s)
- Jianzhong Wu
- Rice Genome Research Program, National Institute of Agrobiological Sciences/Institute of the Society for Techno-Inovation of Agriculture, Forestry, and Fisheries, Tsukuba, Ibaraki 305-8602, Japan
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157
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Tyagi AK, Khurana JP, Khurana P, Raghuvanshi S, Gaur A, Kapur A, Gupta V, Kumar D, Ravi V, Vij S, Khurana P, Sharma S. Structural and functional analysis of rice genome. J Genet 2004; 83:79-99. [PMID: 15240912 DOI: 10.1007/bf02715832] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
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 macro- and 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.
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Affiliation(s)
- Akhilesh K Tyagi
- Department of Plant Molecular Biology, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 021, India.
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158
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Gao L, McCarthy EM, Ganko EW, McDonald JF. Evolutionary history of Oryza sativa LTR retrotransposons: a preliminary survey of the rice genome sequences. BMC Genomics 2004; 5:18. [PMID: 15040813 PMCID: PMC373447 DOI: 10.1186/1471-2164-5-18] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2003] [Accepted: 03/02/2004] [Indexed: 12/03/2022] Open
Abstract
Background LTR Retrotransposons transpose through reverse transcription of an RNA intermediate and are ubiquitous components of all eukaryotic genomes thus far examined. Plant genomes, in particular, have been found to be comprised of a remarkably high number of LTR retrotransposons. There is a significant body of direct and indirect evidence that LTR retrotransposons have contributed to gene and genome evolution in plants. Results To explore the evolutionary history of long terminal repeat (LTR) retrotransposons and their impact on the genome of Oryza sativa, we have extended an earlier computer-based survey to include all identifiable full-length, fragmented and solo LTR elements in the rice genome database as of April 2002. A total of 1,219 retroelement sequences were identified, including 217 full-length elements, 822 fragmented elements, and 180 solo LTRs. In order to gain insight into the chromosomal distribution of LTR-retrotransposons in the rice genome, a detailed examination of LTR-retrotransposon sequences on Chromosome 10 was carried out. An average of 22.3 LTR-retrotransposons per Mb were detected in Chromosome 10. Conclusions Gypsy-like elements were found to be >4 × more abundant than copia-like elements. Eleven of the thirty-eight investigated LTR-retrotransposon families displayed significant subfamily structure. We estimate that at least 46.5% of LTR-retrotransposons in the rice genome are older than the age of the species (< 680,000 years). LTR-retrotransposons present in the rice genome range in age from those just recently inserted up to nearly 10 million years old. Approximately 20% of LTR retrotransposon sequences lie within putative genes. The distribution of elements across chromosome 10 is non-random with the highest density (48 elements per Mb) being present in the pericentric region.
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Affiliation(s)
- Lizhi Gao
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
| | - Eugene M McCarthy
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
| | - Eric W Ganko
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
| | - John F McDonald
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
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159
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Yokoyama R, Rose JKC, Nishitani K. A surprising diversity and abundance of xyloglucan endotransglucosylase/hydrolases in rice. Classification and expression analysis. PLANT PHYSIOLOGY 2004; 134:1088-99. [PMID: 14988479 PMCID: PMC389933 DOI: 10.1104/pp.103.035261] [Citation(s) in RCA: 146] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
A search of the recently completed genomic database of rice (Oryza sativa) identified a 29-member xyloglucan endotransglucosylase/hydrolase (OsXTH) gene family. This first report of a complete XTH family from a monocotyledonous species reveals that the OsXTH family is comparable in size with that of the dicotyledon Arabidopsis thaliana, which consists of 33 AtXTH genes. This is surprising because xyloglucan, the specific substrate of XTHs, is considerably less abundant in cell walls of monocotyledons than dicotyledons and is not typically ascribed an important structural role in monocotyledons. As a first step toward determining the roles of rice XTHs, the expression patterns of all 29 OsXTH genes were examined using a quantitative DNA microarray procedure with gene-specific oligonucleotide probes. The analysis showed that most members of the rice XTH family exhibited organ- and growth stage-specific expression. This was confirmed by quantitative real-time reverse transcriptase-polymerase chain reaction analysis of representative OsXTH members. This revealed in more detail the temporally and spatially controlled expression profiles of individual OsXTH genes at particular sites in rice. Previous reports indicated that grasses have relatively greater xyloglucan endotransglucosylase activities, one of the two enzyme activities catalyzed by XTHs, than in equivalent tissues in dicotyledons. This observation, together with the tissue-specific and growth stage-dependent expression of a large rice XTH gene family, suggests that xyloglucan metabolism plays a more central role in monocotyledon cell wall restructuring than has been reported previously.
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Affiliation(s)
- Ryusuke Yokoyama
- Department of Developmental Biology and Neurosciences, Graduate School of Life Sciences, Tohoku University, Sendai 980-8578, Japan
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160
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Jia L, Clegg MT, Jiang T. Evolutionary dynamics of the DNA-binding domains in putative R2R3-MYB genes identified from rice subspecies indica and japonica genomes. PLANT PHYSIOLOGY 2004; 134:575-85. [PMID: 14966247 PMCID: PMC344534 DOI: 10.1104/pp.103.027201] [Citation(s) in RCA: 104] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2003] [Revised: 08/01/2003] [Accepted: 11/08/2003] [Indexed: 05/18/2023]
Abstract
The molecular evolution of the R2R3-MYB gene family is of great interest because it is one of the most important transcription factor gene families in the plant kingdom. Comparative analyses of a gene family may reveal important adaptive changes at the protein level and thereby provide insights that relate structure to function. We have performed a range of comparative and bioinformatics analyses on R2R3-MYB genes identified from the rice (Oryza sativa subsp. japonica and indica) and Arabidopsis genome sequences. The study provides an initial framework to investigate how different evolutionary lineages in a gene family evolve new functions. Our results reveal a remarkable excess of non-synonymous substitutions, an indication of adaptive selection on protein structure that occurred during the evolution of both helix1 and helix2 of rice R2R3-MYB DNA-binding domains. These flexible alpha-helix regions associated with high frequencies of excess non-synonymous substitutions may play critical roles in the characteristic packing of R2R3-MYB DNA-binding domains and thereby modify the protein-DNA interaction process resulting in the recognition of novel DNA-binding sites. Furthermore, a co-evolutionary pattern is found between the second alpha-helix of the R2 domain and the second alpha-helix of the R3 domain by examining all the possible alpha-helix pairings in both the R2 and R3 domains. This points to the functional importance of pairing interactions between related secondary structures.
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Affiliation(s)
- Li Jia
- Department of Biological Sciences, Wichita State University, Wichita, Kansas 67260, USA.
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161
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Ouyang S, Buell CR. The TIGR Plant Repeat Databases: a collective resource for the identification of repetitive sequences in plants. Nucleic Acids Res 2004; 32:D360-3. [PMID: 14681434 PMCID: PMC308833 DOI: 10.1093/nar/gkh099] [Citation(s) in RCA: 229] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In a number of higher plants, a substantial portion of the genome is composed of repetitive sequences that can hinder genome annotation and sequencing efforts. To better understand the nature of repetitive sequences in plants and provide a resource for identifying such sequences, we constructed databases of repetitive sequences for 12 plant genera: Arabidopsis, Brassica, Glycine, Hordeum, Lotus, Lycopersicon, Medicago, Oryza, Solanum, Sorghum, Triticum and Zea (www.tigr.org/tdb/e2k1/plant. repeats/index.shtml). The repetitive sequences within each database have been coded into super-classes, classes and sub-classes based on sequence and structure similarity. These databases are available for sequence similarity searches as well as downloadable files either as entire databases or subsets of each database. To further the utility for comparative studies and to provide a resource for searching for repetitive sequences in other genera within these families, repetitive sequences have been combined into four databases to represent the Brassicaceae, Fabaceae, Gramineae and Solanaceae families. Collectively, these databases provide a resource for the identification, classification and analysis of repetitive sequences in plants.
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Affiliation(s)
- Shu Ouyang
- The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA
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162
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Wu J, Mizuno H, Hayashi-Tsugane M, Ito Y, Chiden Y, Fujisawa M, Katagiri S, Saji S, Yoshiki S, Karasawa W, Yoshihara R, Hayashi A, Kobayashi H, Ito K, Hamada M, Okamoto M, Ikeno M, Ichikawa Y, Katayose Y, Yano M, Matsumoto T, Sasaki T. Physical maps and recombination frequency of six rice chromosomes. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2003; 36:720-30. [PMID: 14617072 DOI: 10.1046/j.1365-313x.2003.01903.x] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
We constructed physical maps of rice chromosomes 1, 2, and 6-9 with P1-derived artificial chromosome (PAC) and bacterial artificial chromosome (BAC) clones. These maps, with only 20 gaps, cover more than 97% of the predicted length of the six chromosomes. We submitted a total of 193 Mbp of non-overlapping sequences to public databases. We analyzed the DNA sequences of 1316 genetic markers and six centromere-specific repeats to facilitate characterization of chromosomal recombination frequency and of the genomic composition and structure of the centromeric regions. We found marked changes in the relative recombination rate along the length of each chromosome. Chromosomal recombination at the centromere core and surrounding regions on the six chromosomes was completely suppressed. These regions have a total physical length of about 23 Mbp, corresponding to 11.4% of the entire size of the six chromosomes. Chromosome 6 has the longest quiescent region, with about 5.6 Mbp, followed by chromosome 8, with quiescent region about half this size. Repetitive sequences accounted for at least 40% of the total genomic sequence on the partly sequenced centromeric region of chromosome 1. Rice CentO satellite DNA is arrayed in clusters and is closely associated with the presence of Centromeric Retrotransposon of Rice (CRR)- and RIce RetroElement 7 (RIRE7)-like retroelement sequences. We also detected relatively small coldspot regions outside the centromeric region; their repetitive content and gene density were similar to those of regions with normal recombination rates. Sequence analysis of these regions suggests that either the amount or the organization patterns of repetitive sequences may play a role in the inactivation of recombination.
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Affiliation(s)
- Jianzhong Wu
- Rice Genome Research Program (RGP), National Institute of Agrobiological Sciences/Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, Tsukuba, Ibaraki 305-8602, Japan
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163
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Tanaka N, Konishi H, Khan MMK, Komatsu S. Proteome analysis of rice tissues by two-dimensional electrophoresis: an approach to the investigation of gibberellin regulated proteins. Mol Genet Genomics 2003; 270:485-96. [PMID: 14634867 DOI: 10.1007/s00438-003-0929-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2003] [Accepted: 09/09/2003] [Indexed: 11/27/2022]
Abstract
Protein databases constructed using high-resolution two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) were used to explore the proteome expressed in various rice tissues. Proteins from leaf sheath, root, and cultured suspension cells were systematically analyzed using 2D-PAGE, mass spectrometry and Edman sequencing, followed by database searching. In all, 79 of the 431 spots detected by 2D-PAGE in the leaf sheath, 73 of the 508 spots in the root and 140 of the 962 spots in the cultured suspension cells could be identified. Protein lists were constructed for each tissue and used to investigate the effects of gibberellin (GA) treatment. In the leaf sheath, root and cultured suspension cells, 8, 21, and 14 of the identified proteins, respectively, were regulated by GA. These proteins included polypeptides involved in general metabolism, energy production, transcriptional regulation and signal transduction in the leaf sheath; in metabolism and defense in the root; and in metabolism, energy production, cell growth, defense and signal transduction in the cultured suspension cells. These results indicate that the proteome databases assembled in these studies will be useful for the rapid assessment of changes in protein content in specific tissues, and that proteins regulated by GA may play a significant role in tissue growth.
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Affiliation(s)
- N Tanaka
- Department of Molecular Genetics, National Institute of Agrobiological Sciences, 305-8602 Tsukuba, Japan
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164
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Ventelon-Debout M, Nguyen TTH, Wissocq A, Berger C, Laudie M, Piégu B, Cooke R, Ghesquière A, Delseny M, Brugidou C. Analysis of the transcriptional response to Rice Yellow Mottle Virus infection in Oryza sativa indica and japonica cultivars. Mol Genet Genomics 2003; 270:253-62. [PMID: 14564505 DOI: 10.1007/s00438-003-0903-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2003] [Accepted: 07/11/2003] [Indexed: 10/26/2022]
Abstract
Several cDNA libraries were constructed using mRNA isolated from roots, panicles, cell suspensions and leaves of non-stressed Oryza sativa indica (IR64) and japonica (Azucena) plants, from wounded leaves, and from leaves of both cultivars inoculated with Rice Yellow Mottle Virus (RYMV). A total of 5549 cleaned expressed sequence tags (ESTs) were generated from these libraries. They were classified into functional categories on the basis of homology, and analyzed for redundancy within each library. The expression profiles represented by each library revealed great differences between indica and japonica backgrounds. EST frequencies during the early stages of RYMV infection indicated that changes in the expression of genes involved in energy metabolism and photosynthesis are differentially accentuated in susceptible and partially resistant cultivars. Mapping of these ESTs revealed that several co-localize with previously described resistance gene analogs and QTLs (quantitative trait loci).
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Affiliation(s)
- M Ventelon-Debout
- UMR 5096, Institut de Recherche pour le Développement, BP 64501, 34394 Montpellier, France.
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165
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Ilic K, SanMiguel PJ, Bennetzen JL. A complex history of rearrangement in an orthologous region of the maize, sorghum, and rice genomes. Proc Natl Acad Sci U S A 2003; 100:12265-70. [PMID: 14530400 PMCID: PMC218747 DOI: 10.1073/pnas.1434476100] [Citation(s) in RCA: 132] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2003] [Indexed: 11/18/2022] Open
Abstract
The sequences of large insert clones containing genomic DNA that is orthologous to the maize adh1 region were obtained for sorghum, rice, and the adh1-homoeologous region of maize, a remnant of the tetraploid history of the Zea lineage. By using all four genomes, it was possible to describe the nature, timing, and lineages of most of the genic rearrangements that have differentiated this chromosome segment over the last 60 million years. The rice genome has been the most stable, sharing 11 orthologous genes with sorghum and exhibiting only one tandem duplication of a gene in this region. The lineage that gave rise to sorghum and maize acquired a two-gene insertion (containing the adh locus), whereas sorghum received two additional gene insertions after its divergence from a common ancestor with maize. The two homoeologous regions of maize have been particularly unstable, with complete or partial deletion of three genes from one segment and four genes from the other segment. As a result, the region now contains only one duplicated locus compared with the eight original loci that were present in each diploid progenitor. Deletion of these maize genes did not remove both copies of any locus. This study suggests that grass genomes are generally unstable in local genome organization and gene content, but that some lineages are much more unstable than others. Maize, probably because of its polyploid origin, has exhibited extensive gene loss so that it is now approaching a diploid state.
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Affiliation(s)
- Katica Ilic
- Department of Biological Sciences, Purdue University, 201 South University, West Lafayette, IN 47907-2064, USA
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166
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Engler FW, Hatfield J, Nelson W, Soderlund CA. Locating sequence on FPC maps and selecting a minimal tiling path. Genome Res 2003; 13:2152-63. [PMID: 12915486 PMCID: PMC403717 DOI: 10.1101/gr.1068603] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
This study discusses three software tools, the first two aid in integrating sequence with an FPC physical map and the third automatically selects a minimal tiling path given genomic draft sequence and BAC end sequences. The first tool, FSD (FPC Simulated Digest), takes a sequenced clone and adds it back to the map based on a fingerprint generated by an in silico digest of the clone. This allows verification of sequenced clone positions and the integration of sequenced clones that were not originally part of the FPC map. The second tool, BSS (Blast Some Sequence), takes a query sequence and positions it on the map based on sequence associated with the clones in the map. BSS has multiple uses as follows: (1) When the query is a file of marker sequences, they can be added as electronic markers. (2) When the query is draft sequence, the results of BSS can be used to close gaps in a sequenced clone or the physical map. (3) When the query is a sequenced clone and the target is BAC end sequences, one may select the next clone for sequencing using both sequence comparison results and map location. (4) When the query is whole-genome draft sequence and the target is BAC end sequences, the results can be used to select many clones for a minimal tiling path at once. The third tool, pickMTP, automates the majority of this last usage of BSS. Results are presented using the rice FPC map, BAC end sequences, and whole-genome shotgun from Syngenta.
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Affiliation(s)
- Friedrich W Engler
- Arizona Genomics Computational Laboratory, University of Arizona, Tucson, Arizona 85721, USA
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167
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Yang TJ, Yu Y, Nah G, Atkins M, Lee S, Frisch DA, Wing RA. Construction and utility of 10-kb libraries for efficient clone-gap closure for rice genome sequencing. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2003; 107:652-660. [PMID: 12783166 DOI: 10.1007/s00122-003-1302-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2002] [Accepted: 01/27/2003] [Indexed: 05/24/2023]
Abstract
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.
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Affiliation(s)
- Tae-Jin Yang
- Arizona Genomics Institute, Department of Plant Sciences, 303 Forbes Building, University of Arizona, Tucson, AZ 85721, USA
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168
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Lijavetzky D, Carbonero P, Vicente-Carbajosa J. Genome-wide comparative phylogenetic analysis of the rice and Arabidopsis Dof gene families. BMC Evol Biol 2003; 3:17. [PMID: 12877745 PMCID: PMC184357 DOI: 10.1186/1471-2148-3-17] [Citation(s) in RCA: 186] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2003] [Accepted: 07/23/2003] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Dof proteins are a family of plant-specific transcription factors that contain a particular class of zinc-finger DNA-binding domain. Members of this family have been found to play diverse roles in gene regulation of processes restricted to the plants. The completed genome sequences of rice and Arabidopsis constitute a valuable resource for comparative genomic analyses, since they are representatives of the two major evolutionary lineages within the angiosperms. In this framework, the identification of phylogenetic relationships among Dof proteins in these species is a fundamental step to unravel functionality of new and yet uncharacterised genes belonging to this group. RESULTS We identified 30 different Dof genes in the rice Oryza sativa genome and performed a phylogenetic analysis of a complete collection of the 36-reported Arabidopsis thaliana and the rice Dof transcription factors identified herein. This analysis led to a classification into four major clusters of orthologous genes and showed gene loss and duplication events in Arabidopsis and rice, that occurred before and after the last common ancestor of the two species. CONCLUSIONS According to our analysis, the Dof gene family in angiosperms is organized in four major clusters of orthologous genes or subfamilies. The proposed clusters of orthology and their further analysis suggest the existence of monocot specific genes and invite to explore their functionality in relation to the distinct physiological characteristics of these evolutionary groups.
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Affiliation(s)
- Diego Lijavetzky
- Laboratorio de Bioquímica y Biología Molecular, Departamento de Biotecnología-UPM, E.T.S. Ingenieros Agrónomos, Ciudad Universitaria s/n, Madrid 28040 SPAIN
| | - Pilar Carbonero
- Laboratorio de Bioquímica y Biología Molecular, Departamento de Biotecnología-UPM, E.T.S. Ingenieros Agrónomos, Ciudad Universitaria s/n, Madrid 28040 SPAIN
| | - Jesús Vicente-Carbajosa
- Laboratorio de Bioquímica y Biología Molecular, Departamento de Biotecnología-UPM, E.T.S. Ingenieros Agrónomos, Ciudad Universitaria s/n, Madrid 28040 SPAIN
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169
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Ventelon-Debout M, Delalande F, Brizard JP, Diemer H, Van Dorsselaer A, Brugidou C. Proteome analysis of cultivar-specific deregulations ofOryza sativa indicaandO. sativa japonicacellular suspensions undergoingRice yellow mottle virusinfection. Proteomics 2003; 4:216-25. [PMID: 14730683 DOI: 10.1002/pmic.200300502] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We have used two-dimensional gel electrophoresis with mass spectrometry analysis to study the temporal patterns of protein expression during RYMV (Rice yellow mottle virus) infection in rice cells of two cultivars: IR64, Oryza sativa indica, susceptible, and Azucena, O. sativa japonica, partially resistant to RYMV. Proteomic analysis of nonstressed and RYMV inoculated cells showed statistically significant changes in the relative levels of 40 IR64 proteins and 24 Azucena proteins. Protein identification using mass spectrometry was attempted for all the differentially regulated proteins. This global analysis detected 32 hypothetical "new" proteins. Nineteen differentially regulated proteins were identified for IR64 cultivar, while 13 were identified for Azucena cultivar, including proteins in three functional categories: metabolism, stress-related proteins, and translation. These data revealed that a number of proteins regulated by abiotic stress response pathway were activated by RYMV in both cultivars (such as salt-induced protein, heat shock proteins (HSPs), superoxide dismutase (SOD), and others have functions consistent with the susceptibility or partially resistance trait (such as dehydrin, proteins involved in glycolysis pathway).
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170
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Affiliation(s)
- Yongbiao Xue
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100080, China.
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171
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Sallaud C, Meynard D, van Boxtel J, Gay C, Bès M, Brizard JP, Larmande P, Ortega D, Raynal M, Portefaix M, Ouwerkerk PBF, Rueb S, Delseny M, Guiderdoni E. Highly efficient production and characterization of T-DNA plants for rice ( Oryza sativa L.) functional genomics. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2003; 106:1396-408. [PMID: 12677401 DOI: 10.1007/s00122-002-1184-x] [Citation(s) in RCA: 148] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2002] [Accepted: 09/25/2002] [Indexed: 05/20/2023]
Abstract
We investigated the potential of an improved Agrobacterium tumefaciens-mediated transformation procedure of japonica rice ( Oryza sativa L.) for generating large numbers of T-DNA plants that are required for functional analysis of this model genome. Using a T-DNA construct bearing the hygromycin resistance ( hpt), green fluorescent protein ( gfp) and beta-glucuronidase ( gusA) genes, each individually driven by a CaMV 35S promoter, we established a highly efficient seed-embryo callus transformation procedure that results both in a high frequency (75-95%) of co-cultured calli yielding resistant cell lines and the generation of multiple (10 to more than 20) resistant cell lines per co-cultured callus. Efficiencies ranged from four to ten independent transformants per co-cultivated callus in various japonica cultivars. We further analysed the T-DNA integration patterns within a population of more than 200 transgenic plants. In the three cultivars studied, 30-40% of the T(0) plants were found to have integrated a single T-DNA copy. Analyses of segregation for hygromycin resistance in T(1) progenies showed that 30-50% of the lines harbouring multiple T-DNA insertions exhibited hpt gene silencing, whereas only 10% of lines harbouring a single T-DNA insertion was prone to silencing. Most of the lines silenced for hpt also exhibited apparent silencing of the gus and gfp genes borne by the T-DNA. The genomic regions flanking the left border of T-DNA insertion points were recovered in 477 plants and sequenced. Adapter-ligation Polymerase chain reaction analysis proved to be an efficient and reliable method to identify these sequences. By homology search, 77 T-DNA insertion sites were localized on BAC/PAC rice Nipponbare sequences. The influence of the organization of T-DNA integration on subsequent identification of T-DNA insertion sites and gene expression detection systems is discussed.
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Affiliation(s)
- C Sallaud
- Biotrop Programme, Cirad-Amis, Avenue Agropolis, 34398 Montpellier Cedex 5, France
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172
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Han B, Xue Y. Genome-wide intraspecific DNA-sequence variations in rice. CURRENT OPINION IN PLANT BIOLOGY 2003; 6:134-138. [PMID: 12667869 DOI: 10.1016/s1369-5266(03)00004-9] [Citation(s) in RCA: 61] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Genome-wide comparative analysis of the DNA sequences of two major cultivated rice subspecies, Oryza sativa L. ssp indica and Oryza sativa L. ssp japonica, have revealed their extensive microcolinearity in gene order and content. However, deviations from colinearity are frequent owing to insertions or deletions. Intraspecific sequence polymorphisms commonly occur in both coding and non-coding regions. These variations often affect gene structures and may contribute to intraspecific phenotypic adaptations.
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Affiliation(s)
- Bin Han
- National Centre for Gene Research, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 500 Caobao Road, Shanghai 200233, China.
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173
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Parkin IAP, Sharpe AG, Lydiate DJ. Patterns of genome duplication within the Brassica napus genome. Genome 2003; 46:291-303. [PMID: 12723045 DOI: 10.1139/g03-006] [Citation(s) in RCA: 120] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The progenitor diploid genomes (A and C) of the amphidiploid Brassica napus are extensively duplicated with 73% of genomic clones detecting two or more duplicate sequences within each of the diploid genomes. This comprehensive duplication of loci is to be expected in a species that has evolved through a polyploid ancestor. The majority of the duplicate loci within each of the diploid genomes were found in distinct linkage groups as collinear blocks of linked loci, some of which had undergone a variety of rearrangements subsequent to duplication, including inversions and translocations. A number of identical rearrangements were observed in the two diploid genomes, suggesting they had occurred before the divergence of the two species. A number of linkage groups displayed an organization consistent with centric fusion and (or) fission, suggesting this mechanism may have played a role in the evolution of Brassica genomes. For almost every genetically mapped locus detected in the A genome a homologous locus was found in the C genome; the collinear arrangement of these homologous markers allowed the primary regions of homoeology between the two genomes to be identified. At least 16 gross chromosomal rearrangements differentiated the two diploid genomes during their divergence from a common ancestor.
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Affiliation(s)
- I A P Parkin
- John Innes Centre, Norwich Research Park, Colney, Norwich, NR4 7UH.
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174
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Bennetzen JL, Ma J. The genetic colinearity of rice and other cereals on the basis of genomic sequence analysis. CURRENT OPINION IN PLANT BIOLOGY 2003; 6:128-33. [PMID: 12667868 DOI: 10.1016/s1369-5266(03)00015-3] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
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.
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Affiliation(s)
- Jeffrey L Bennetzen
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana 47907-1392, USA.
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175
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Rabinowicz PD, McCombie WR, Martienssen RA. Gene enrichment in plant genomic shotgun libraries. CURRENT OPINION IN PLANT BIOLOGY 2003; 6:150-156. [PMID: 12667872 DOI: 10.1016/s1369-5266(03)00008-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The Arabidopsis genome (about 130 Mbp) has been completely sequenced; whereas a draft sequence of the rice genome (about 430 Mbp) is now available and the sequencing of this genome will be completed in the near future. The much larger genomes of several important crop species, such as wheat (about 16,000 Mbp) or maize (about 2500 Mbp), may not be fully sequenced with current technology. Instead, sequencing-analysis strategies are being developed to obtain sequencing and mapping information selectively for the genic fraction (gene space) of complex plant genomes.
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Affiliation(s)
- Pablo D Rabinowicz
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
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176
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Delseny M. Science, médiatisation et politique : le séquençage du génome du riz. Med Sci (Paris) 2003. [DOI: 10.1051/medsci/2003194505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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177
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Abstract
Several more- or less-elaborated rice genome sequences have been produced recently using different strategies. It has become possible to compare them and to unravel the major features of the rice genome in terms of nucleotide composition, repeats, gene content and variability. It has also become possible to compare the rice and Arabidopsis genomes and to evaluate rice as a model genome.
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Affiliation(s)
- Michel Delseny
- Laboratoire Génome et Développement des Plantes, UMR 5096 CNRS-IRD-UP, University of Perpignan, 52 avenue de Villeneuve, 66860 Perpignan CEDEX, France.
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178
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Yuan Q, Ouyang S, Liu J, Suh B, Cheung F, Sultana R, Lee D, Quackenbush J, Buell CR. The TIGR rice genome annotation resource: annotating the rice genome and creating resources for plant biologists. Nucleic Acids Res 2003; 31:229-33. [PMID: 12519988 PMCID: PMC165506 DOI: 10.1093/nar/gkg059] [Citation(s) in RCA: 115] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Rice is not only a major food staple for the world's population but it also is a model species for a major group of flowering plants, the monocotyledonous plants. Draft genomic sequence of two subspecies of rice, Oryza sativa spp. japonica and indica ssp. are publicly available. To provide the community with a resource to data-mine the rice genome, we have constructed an annotation resource for rice (http://www.tigr.org/tdb/e2k1/osa1/). In this resource, we have annotated the rice genome for gene content, identified motifs/domains within the predicted genes, constructed a rice repeat database, identified related sequences in other plant species, and identified syntenic sequences between rice and maize. All of the data is available through web-based interfaces, FTP downloads, and a Distributed Annotation System.
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Affiliation(s)
- Qiaoping Yuan
- The Institute for Genomic Research, 9712 Medical Center Dr., Rockville, MD 20850, USA
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179
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Buell CR. Current status of the sequence of the rice genome and prospects for finishing the first monocot genome. PLANT PHYSIOLOGY 2002; 130:1585-6. [PMID: 12481040 PMCID: PMC1540262 DOI: 10.1104/pp.014878] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Affiliation(s)
- C Robin Buell
- The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, Maryland 20850, USA.
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180
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Buell CR. Obtaining the sequence of the rice genome and lessons learned along the way. TRENDS IN PLANT SCIENCE 2002; 7:538-542. [PMID: 12475494 DOI: 10.1016/s1360-1385(02)02369-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Rice holds the record for the largest number of separate genome projects and for having the genome of two subspecies sequenced. This might be a short-lived record in the genomics era, but it highlights the significance of rice as a food staple and as a model plant for cereal species. Clearly, obtaining the genome sequence four times seems redundant, yet the rationale and motivation for each of these projects is valid; whether it is serving corporate shareholders or the general scientific community. Although the multiple projects resulted in some duplicated efforts, the value of data sharing was obvious and the winner in the end will be the global public.
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Affiliation(s)
- C Robin Buell
- The Institute for Genomic Research, Rockville, MD 20850, USA.
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181
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Ware DH, Jaiswal P, Ni J, Yap IV, Pan X, Clark KY, Teytelman L, Schmidt SC, Zhao W, Chang K, Cartinhour S, Stein LD, McCouch SR. Gramene, a tool for grass genomics. PLANT PHYSIOLOGY 2002; 130:1606-13. [PMID: 12481044 PMCID: PMC1540266 DOI: 10.1104/pp.015248] [Citation(s) in RCA: 112] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Gramene (http://www.gramene.org) is a comparative genome mapping database for grasses and a community resource for rice (Oryza sativa). It combines a semi-automatically generated database of cereal genomic and expressed sequence tag sequences, genetic maps, map relations, and publications, with a curated database of rice mutants (genes and alleles), molecular markers, and proteins. Gramene curators read and extract detailed information from published sources, summarize that information in a structured format, and establish links to related objects both inside and outside the database, providing seamless connections between independent sources of information. Genetic, physical, and sequence-based maps of rice serve as the fundamental organizing units and provide a common denominator for moving across species and genera within the grass family. Comparative maps of rice, maize (Zea mays), sorghum (Sorghum bicolor), barley (Hordeum vulgare), wheat (Triticum aestivum), and oat (Avena sativa) are anchored by a set of curated correspondences. In addition to sequence-based mappings found in comparative maps and rice genome displays, Gramene makes extensive use of controlled vocabularies to describe specific biological attributes in ways that permit users to query those domains and make comparisons across taxonomic groups. Proteins are annotated for functional significance using gene ontology terms that have been adopted by numerous model species databases. Genetic variants including phenotypes are annotated using plant ontology terms common to all plants and trait ontology terms that are specific to rice. In this paper, we present a brief overview of the search tools available to the plant research community in Gramene.
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182
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Vandepoele K, Simillion C, Van de Peer Y. Detecting the undetectable: uncovering duplicated segments in Arabidopsis by comparison with rice. Trends Genet 2002; 18:606-8. [PMID: 12446138 DOI: 10.1016/s0168-9525(02)02796-8] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Genome analysis shows that large-scale gene duplications have occurred in fungi, animals and plants, creating genomic regions that show similarity in gene content and order. However, the high frequency of gene loss reduces colinearity resulting in duplicated regions that, in the extreme, no longer share homologous genes. Here, we show that by comparison with an appropriate second genome, such paralogous regions can still be identified.
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Affiliation(s)
- Klaas Vandepoele
- Dept of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), Ghent University, K.L. Ledeganckstraat 35, B-9000, Ghent, Belgium
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183
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Sasaki T, Matsumoto T, Yamamoto K, Sakata K, Baba T, Katayose Y, Wu J, Niimura Y, Cheng Z, Nagamura Y, Antonio BA, Kanamori H, Hosokawa S, Masukawa M, Arikawa K, Chiden Y, Hayashi M, Okamoto M, Ando T, Aoki H, Arita K, Hamada M, Harada C, Hijishita S, Honda M, Ichikawa Y, Idonuma A, Iijima M, Ikeda M, Ikeno M, Ito S, Ito T, Ito Y, Ito Y, Iwabuchi A, Kamiya K, Karasawa W, Katagiri S, Kikuta A, Kobayashi N, Kono I, Machita K, Maehara T, Mizuno H, Mizubayashi T, Mukai Y, Nagasaki H, Nakashima M, Nakama Y, Nakamichi Y, Nakamura M, Namiki N, Negishi M, Ohta I, Ono N, Saji S, Sakai K, Shibata M, Shimokawa T, Shomura A, Song J, Takazaki Y, Terasawa K, Tsuji K, Waki K, Yamagata H, Yamane H, Yoshiki S, Yoshihara R, Yukawa K, Zhong H, Iwama H, Endo T, Ito H, Hahn JH, Kim HI, Eun MY, Yano M, Jiang J, Gojobori T. The genome sequence and structure of rice chromosome 1. Nature 2002; 420:312-6. [PMID: 12447438 DOI: 10.1038/nature01184] [Citation(s) in RCA: 439] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2002] [Accepted: 09/19/2002] [Indexed: 11/08/2022]
Abstract
The rice species Oryza sativa is considered to be a model plant because of its small genome size, extensive genetic map, relative ease of transformation and synteny with other cereal crops. Here we report the essentially complete sequence of chromosome 1, the longest chromosome in the rice genome. We summarize characteristics of the chromosome structure and the biological insight gained from the sequence. The analysis of 43.3 megabases (Mb) of non-overlapping sequence reveals 6,756 protein coding genes, of which 3,161 show homology to proteins of Arabidopsis thaliana, another model plant. About 30% (2,073) of the genes have been functionally categorized. Rice chromosome 1 is (G + C)-rich, especially in its coding regions, and is characterized by several gene families that are dispersed or arranged in tandem repeats. Comparison with a draft sequence indicates the importance of a high-quality finished sequence.
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Affiliation(s)
- Takuji Sasaki
- Rice Genome Research Program, National Institute of Agrobiological Sciences, 1-2, Kannondai 2-chome, Tsukuba, Ibaraki 305-8602, Japan.
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184
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Feng Q, Zhang Y, Hao P, Wang S, Fu G, Huang Y, Li Y, Zhu J, Liu Y, Hu X, Jia P, Zhang Y, Zhao Q, Ying K, Yu S, Tang Y, Weng Q, Zhang L, Lu Y, Mu J, Lu Y, Zhang LS, Yu Z, Fan D, Liu X, Lu T, Li C, Wu Y, Sun T, Lei H, Li T, Hu H, Guan J, Wu M, Zhang R, Zhou B, Chen Z, Chen L, Jin Z, Wang R, Yin H, Cai Z, Ren S, Lv G, Gu W, Zhu G, Tu Y, Jia J, Zhang Y, Chen J, Kang H, Chen X, Shao C, Sun Y, Hu Q, Zhang X, Zhang W, Wang L, Ding C, Sheng H, Gu J, Chen S, Ni L, Zhu F, Chen W, Lan L, Lai Y, Cheng Z, Gu M, Jiang J, Li J, Hong G, Xue Y, Han B. Sequence and analysis of rice chromosome 4. Nature 2002; 420:316-20. [PMID: 12447439 DOI: 10.1038/nature01183] [Citation(s) in RCA: 295] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2002] [Accepted: 09/16/2002] [Indexed: 11/08/2022]
Abstract
Rice is the principal food for over half of the population of the world. With its genome size of 430 megabase pairs (Mb), the cultivated rice species Oryza sativa is a model plant for genome research. Here we report the sequence analysis of chromosome 4 of O. sativa, one of the first two rice chromosomes to be sequenced completely. The finished sequence spans 34.6 Mb and represents 97.3% of the chromosome. In addition, we report the longest known sequence for a plant centromere, a completely sequenced contig of 1.16 Mb corresponding to the centromeric region of chromosome 4. We predict 4,658 protein coding genes and 70 transfer RNA genes. A total of 1,681 predicted genes match available unique rice expressed sequence tags. Transposable elements have a pronounced bias towards the euchromatic regions, indicating a close correlation of their distributions to genes along the chromosome. Comparative genome analysis between cultivated rice subspecies shows that there is an overall syntenic relationship between the chromosomes and divergence at the level of single-nucleotide polymorphisms and insertions and deletions. By contrast, there is little conservation in gene order between rice and Arabidopsis.
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Affiliation(s)
- Qi Feng
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 500 Caobao Road, Shanghai 200233, China
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185
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Vandepoele K, Saeys Y, Simillion C, Raes J, Van De Peer Y. The automatic detection of homologous regions (ADHoRe) and its application to microcolinearity between Arabidopsis and rice. Genome Res 2002; 12:1792-801. [PMID: 12421767 PMCID: PMC187543 DOI: 10.1101/gr.400202] [Citation(s) in RCA: 109] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2002] [Accepted: 08/30/2002] [Indexed: 11/24/2022]
Abstract
It is expected that one of the merits of comparative genomics lies in the transfer of structural and functional information from one genome to another. This is based on the observation that, although the number of chromosomal rearrangements that occur in genomes is extensive, different species still exhibit a certain degree of conservation regarding gene content and gene order. It is in this respect that we have developed a new software tool for the Automatic Detection of Homologous Regions (ADHoRe). ADHoRe was primarily developed to find large regions of microcolinearity, taking into account different types of microrearrangements such as tandem duplications, gene loss and translocations, and inversions. Such rearrangements often complicate the detection of colinearity, in particular when comparing more anciently diverged species. Application of ADHoRe to the complete genome of Arabidopsis and a large collection of concatenated rice BACs yields more than 20 regions showing statistically significant microcolinearity between both plant species. These regions comprise from 4 up to 11 conserved homologous gene pairs. We predict the number of homologous regions and the extent of microcolinearity to increase significantly once better annotations of the rice genome become available.
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Affiliation(s)
- Klaas Vandepoele
- Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology, Ghent University, B-9000 Gent, Belgium
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186
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Terada R, Urawa H, Inagaki Y, Tsugane K, Iida S. Efficient gene targeting by homologous recombination in rice. Nat Biotechnol 2002; 20:1030-4. [PMID: 12219079 DOI: 10.1038/nbt737] [Citation(s) in RCA: 169] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2002] [Accepted: 06/24/2002] [Indexed: 11/09/2022]
Abstract
Modification of genes through homologous recombination, termed gene targeting, is the most direct method to characterize gene function. In higher plants, however, the method is far from a common practice. Here we describe an efficient and reproducible procedure with a strong positive/negative selection for gene targeting in rice, which feeds more than half of the world's population and is an important model plant. About 1% of selected calli and their regenerated fertile plants were heterozygous at the targeted locus, and only one copy of the selective marker used was found at the targeted site in their genomes. The procedure's applicability to other genes will make it feasible to obtain various gene-targeted lines of rice.
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Affiliation(s)
- Rie Terada
- National Institute for Basic Biology, Okazaki, 444-8585, Japan
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187
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Stein LD, Mungall C, Shu S, Caudy M, Mangone M, Day A, Nickerson E, Stajich JE, Harris TW, Arva A, Lewis S. The generic genome browser: a building block for a model organism system database. Genome Res 2002; 12:1599-610. [PMID: 12368253 PMCID: PMC187535 DOI: 10.1101/gr.403602] [Citation(s) in RCA: 953] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2002] [Accepted: 08/09/2002] [Indexed: 11/24/2022]
Abstract
The Generic Model Organism System Database Project (GMOD) seeks to develop reusable software components for model organism system databases. In this paper we describe the Generic Genome Browser (GBrowse), a Web-based application for displaying genomic annotations and other features. For the end user, features of the browser include the ability to scroll and zoom through arbitrary regions of a genome, to enter a region of the genome by searching for a landmark or performing a full text search of all features, and the ability to enable and disable tracks and change their relative order and appearance. The user can upload private annotations to view them in the context of the public ones, and publish those annotations to the community. For the data provider, features of the browser software include reliance on readily available open source components, simple installation, flexible configuration, and easy integration with other components of a model organism system Web site. GBrowse is freely available under an open source license. The software, its documentation, and support are available at http://www.gmod.org.
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Affiliation(s)
- Lincoln D Stein
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11790, USA.
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188
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Rabinowicz PD, Sachidanandam R, Scahidanandam R. Genomics: more than the sum of the parts. Genome Res 2002; 12:1015-6. [PMID: 12097336 DOI: 10.1101/gr.432502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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189
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Salse J, Piégu B, Cooke R, Delseny M. Synteny between Arabidopsis thaliana and rice at the genome level: a tool to identify conservation in the ongoing rice genome sequencing project. Nucleic Acids Res 2002; 30:2316-28. [PMID: 12034818 PMCID: PMC117207 DOI: 10.1093/nar/30.11.2316] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2002] [Revised: 04/15/2002] [Accepted: 04/15/2002] [Indexed: 11/12/2022] Open
Abstract
BLASTX alignment between 189.5 Mb of rice genomic sequence and translated Arabidopsis thaliana annotated coding sequences (CDS) identified 60 syntenic regions involving 4-22 rice orthologs covering < or =3.2 cM (centiMorgan). Most regions are <3 cM in length. A detailed and updated version of a table representing these regions is available on our web site. Thirty-five rice loci match two distinct A.thaliana loci, as expected from the duplicated nature of the A.thaliana genome. One A.thaliana locus matches two distinct rice regions, suggesting that rice chromosomal sequence duplications exist. A high level of rearrangement characterizing the 60 syntenic regions illustrates the ancient nature of the speciation between A.thaliana and rice. The apparent reduced level of microcollinearity implies the dispersion to new genomic locations, via transposon activity, of single or small clusters of genes in the rice genome, which represents a significant additional effector of plant genome evolution.
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Affiliation(s)
- Jérôme Salse
- Laboratoire Génome et Développement des Plantes, Université de Perpignan (Centre National de la Recherche Scientifique, UMR 5096), 52 Avenue de Villeneuve, F-66860 Perpignan Cedex, France
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190
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Prashanth SR, Parani M, Mohanty BP, Talame V, Tuberosa R, Parida A. Genetic diversity in cultivars and landraces of Oryza sativa subsp. indica as revealed by AFLP markers. Genome 2002; 45:451-9. [PMID: 12033612 DOI: 10.1139/g02-003] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Genetic diversity among 49 Indian accessions of rice (Oryza sativa subsp. indica), including 29 landraces from Jeypore, 12 modern cultivars, and 8 traditional cultivars from Tamil Nadu, was investigated using AFLP markers. In total, nine primer combinations revealed 664 AFLPs, 408 of which were found to be polymorphic. The percentage of polymorphic AFLPs was approximately the same within the cultivars and landraces. Similar results were obtained when genetic diversity values were estimated using the Shannon-Weiner index of diversity. Genetic diversity was slightly higher in the modern cultivars than in the traditional cultivars from Tamil Nadu. Among the landraces from Jeypore, the lowland landraces showed the highest diversity. The present study showed that the process of breeding modern cultivars did not appear to cause significant genetic erosion in rice. Cluster analysis and the first component of principle component analysis (PCA) both showed a clear demarcation between the cultivars and landraces as separate groups, although the genetic distance between them was narrow. The modern cultivars were positioned between the landraces from Jeypore and the traditional cultivars from Tamil Nadu. The second component of PCA further separated medium and upland landraces from lowland landraces, with the lowland landraces found closest to the traditional and modern cultivars.
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Affiliation(s)
- S R Prashanth
- M.S. Swaminathan Research Foundation, Taramani, Chennai, India
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191
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Zhao Q, Zhang Y, Cheng Z, Chen M, Wang S, Feng Q, Huang Y, Li Y, Tang Y, Zhou B, Chen Z, Yu S, Zhu J, Hu X, Mu J, Ying K, Hao P, Zhang L, Lu Y, Zhang LS, Liu Y, Yu Z, Fan D, Weng Q, Chen L, Lu T, Liu X, Jia P, Sun T, Wu Y, Zhang Y, Lu Y, Li C, Wang R, Lei H, Li T, Hu H, Wu M, Zhang R, Guan J, Zhu J, Fu G, Gu M, Hong G, Xue Y, Wing R, Jiang J, Han B. A fine physical map of the rice chromosome 4. Genome Res 2002; 12:817-23. [PMID: 11997348 PMCID: PMC186569 DOI: 10.1101/gr.48902] [Citation(s) in RCA: 59] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
As part of an international effort to completely sequence the rice genome, we have produced a fine bacterial artificial chromosome (BAC)-based physical map of the Oryza sativa japonica Nipponbare chromosome 4 through an integration of 114 sequenced BAC clones from a taxonomically related subspecies O. sativa indica Guangluai 4 and 182 RFLP and 407 expressed sequence tag (EST) markers with the fingerprinted data of the Nipponbare genome. The map consists of 11 contigs with a total length of 34.5 Mb covering 94% of the estimated chromosome size (36.8 Mb). BAC clones corresponding to telomeres, as well as to the centromere position, were determined by BAC-pachytene chromosome fluorescence in situ hybridization (FISH). This gave rise to an estimated length ratio of 5.13 for the long arm and 2.9 for the short arm (on the basis of the physical map), which indicates that the short arm is a highly condensed one. The FISH analysis and physical mapping also showed that the short arm and the pericentromeric region of the long arm are rich in heterochromatin, which occupied 45% of the chromosome, indicating that this chromosome is likely very difficult to sequence. To our knowledge, this map provides the first example of a rapid and reliable physical mapping on the basis of the integration of the data from two taxonomically related subspecies.
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Affiliation(s)
- Qiang Zhao
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yu Zhang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Zhukuan Cheng
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Mingsheng Chen
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Shengyue Wang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Qi Feng
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yucheng Huang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Ying Li
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yesheng Tang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Bo Zhou
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Zhehua Chen
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Shuliang Yu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Jingjie Zhu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Xin Hu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Jie Mu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Kai Ying
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Pei Hao
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Lei Zhang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yiqi Lu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Lei S. Zhang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yilei Liu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Zhen Yu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Danlin Fan
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Qijun Weng
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Ling Chen
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Tingting Lu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Xiaohui Liu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Peixin Jia
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Tongguo Sun
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yongrui Wu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yujun Zhang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Ying Lu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Can Li
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Rong Wang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Haiyan Lei
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Tao Li
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Hao Hu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Mei Wu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Runquan Zhang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Jianping Guan
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Jia Zhu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Gang Fu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Minghong Gu
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Guofan Hong
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Yongbiao Xue
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Rod Wing
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Jiming Jiang
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
| | - Bin Han
- National Center for Gene Research, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China; Department of Horticulture, University of Wisconsin, Madison, Wisconsin 53706, USA; Clemson University Genomics Institute, Clemson, South Carolina 29634, USA; Chinese Human Genome Center at Shanghai, Shanghai 201203, China; Yangzhou University, Yangzhou, Jiangsu 225009, China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Zhongguancun, Beijing 100080, China
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192
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Yu J, Hu S, Wang J, Wong GKS, Li S, Liu B, Deng Y, Dai L, Zhou Y, Zhang X, Cao M, Liu J, Sun J, Tang J, Chen Y, Huang X, Lin W, Ye C, Tong W, Cong L, Geng J, Han Y, Li L, Li W, Hu G, Huang X, Li W, Li J, Liu Z, Li L, Liu J, Qi Q, Liu J, Li L, Li T, Wang X, Lu H, Wu T, Zhu M, Ni P, Han H, Dong W, Ren X, Feng X, Cui P, Li X, Wang H, Xu X, Zhai W, Xu Z, Zhang J, He S, Zhang J, Xu J, Zhang K, Zheng X, Dong J, Zeng W, Tao L, Ye J, Tan J, Ren X, Chen X, He J, Liu D, Tian W, Tian C, Xia H, Bao Q, Li G, Gao H, Cao T, Wang J, Zhao W, Li P, Chen W, Wang X, Zhang Y, Hu J, Wang J, Liu S, Yang J, Zhang G, Xiong Y, Li Z, Mao L, Zhou C, Zhu Z, Chen R, Hao B, Zheng W, Chen S, Guo W, Li G, Liu S, Tao M, Wang J, Zhu L, Yuan L, Yang H. A draft sequence of the rice genome (Oryza sativa L. ssp. indica). Science 2002; 296:79-92. [PMID: 11935017 DOI: 10.1126/science.1068037] [Citation(s) in RCA: 1765] [Impact Index Per Article: 80.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
We have produced a draft sequence of the rice genome for the most widely cultivated subspecies in China, Oryza sativa L. ssp. indica, by whole-genome shotgun sequencing. The genome was 466 megabases in size, with an estimated 46,022 to 55,615 genes. Functional coverage in the assembled sequences was 92.0%. About 42.2% of the genome was in exact 20-nucleotide oligomer repeats, and most of the transposons were in the intergenic regions between genes. Although 80.6% of predicted Arabidopsis thaliana genes had a homolog in rice, only 49.4% of predicted rice genes had a homolog in A. thaliana. The large proportion of rice genes with no recognizable homologs is due to a gradient in the GC content of rice coding sequences.
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MESH Headings
- Arabidopsis/genetics
- Base Composition
- Computational Biology
- Contig Mapping
- DNA Transposable Elements
- DNA, Intergenic
- DNA, Plant/chemistry
- DNA, Plant/genetics
- Databases, Nucleic Acid
- Exons
- Gene Duplication
- Genes, Plant
- Genome, Plant
- Genomics
- Introns
- Molecular Sequence Data
- Oryza/genetics
- Plant Proteins/chemistry
- Plant Proteins/genetics
- Polymorphism, Genetic
- Repetitive Sequences, Nucleic Acid
- Sequence Analysis, DNA
- Sequence Homology, Nucleic Acid
- Software
- Species Specificity
- Synteny
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Affiliation(s)
- Jun Yu
- Beijing Genomics Institute/Center of Genomics and Bioinformatics, Chinese Academy of Sciences, Beijing 101300, China
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193
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Goff SA, Ricke D, Lan TH, Presting G, Wang R, Dunn M, Glazebrook J, Sessions A, Oeller P, Varma H, Hadley D, Hutchison D, Martin C, Katagiri F, Lange BM, Moughamer T, Xia Y, Budworth P, Zhong J, Miguel T, Paszkowski U, Zhang S, Colbert M, Sun WL, Chen L, Cooper B, Park S, Wood TC, Mao L, Quail P, Wing R, Dean R, Yu Y, Zharkikh A, Shen R, Sahasrabudhe S, Thomas A, Cannings R, Gutin A, Pruss D, Reid J, Tavtigian S, Mitchell J, Eldredge G, Scholl T, Miller RM, Bhatnagar S, Adey N, Rubano T, Tusneem N, Robinson R, Feldhaus J, Macalma T, Oliphant A, Briggs S. A draft sequence of the rice genome (Oryza sativa L. ssp. japonica). Science 2002; 296:92-100. [PMID: 11935018 DOI: 10.1126/science.1068275] [Citation(s) in RCA: 1840] [Impact Index Per Article: 83.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The genome of the japonica subspecies of rice, an important cereal and model monocot, was sequenced and assembled by whole-genome shotgun sequencing. The assembled sequence covers 93% of the 420-megabase genome. Gene predictions on the assembled sequence suggest that the genome contains 32,000 to 50,000 genes. Homologs of 98% of the known maize, wheat, and barley proteins are found in rice. Synteny and gene homology between rice and the other cereal genomes are extensive, whereas synteny with Arabidopsis is limited. Assignment of candidate rice orthologs to Arabidopsis genes is possible in many cases. The rice genome sequence provides a foundation for the improvement of cereals, our most important crops.
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Affiliation(s)
- Stephen A Goff
- Torrey Mesa Research Institute, Syngenta, 3115 Merryfield Row, San Diego, CA 92121, USA.
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194
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Osterlund MT, Paterson AH. Applied plant genomics: the secret is integration. CURRENT OPINION IN PLANT BIOLOGY 2002; 5:141-145. [PMID: 11856610 DOI: 10.1016/s1369-5266(02)00246-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Although concerted efforts to understand selected botanical models have been made, the resulting basic knowledge varies in its applicability to other diverse species including the major crops. Recent advances in high-throughput genomics are offering new avenues through which to exploit model systems for the study of botanical diversity, providing prospects for crop improvement. In particular, whole-genome sequencing has provided opportunities for the broader application of reverse genetics, expression profiling, and molecular mapping in diverse species.
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Affiliation(s)
- Mark T Osterlund
- Center for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602, USA
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195
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Sakata K, Nagamura Y, Numa H, Antonio BA, Nagasaki H, Idonuma A, Watanabe W, Shimizu Y, Horiuchi I, Matsumoto T, Sasaki T, Higo K. RiceGAAS: an automated annotation system and database for rice genome sequence. Nucleic Acids Res 2002; 30:98-102. [PMID: 11752265 PMCID: PMC99141 DOI: 10.1093/nar/30.1.98] [Citation(s) in RCA: 118] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
An extensive effort of the International Rice Genome Sequencing Project (IRGSP) has resulted in rapid accumulation of genome sequence, and >137 Mb has already been made available to the public domain as of August 2001. This requires a high-throughput annotation scheme to extract biologically useful and timely information from the sequence data on a regular basis. A new automated annotation system and database called Rice Genome Automated Annotation System (RiceGAAS) has been developed to execute a reliable and up-to-date analysis of the genome sequence as well as to store and retrieve the results of annotation. The system has the following functional features: (i) collection of rice genome sequences from GenBank; (ii) execution of gene prediction and homology search programs; (iii) integration of results from various analyses and automatic interpretation of coding regions; (iv) re-execution of analysis, integration and automatic interpretation with the latest entries in reference databases; (v) integrated visualization of the stored data using web-based graphical view. RiceGAAS also has a data submission mechanism that allows public users to perform fully automated annotation of their own sequences. The system can be accessed at http://RiceGAAS.dna.affrc.go.jp/.
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Affiliation(s)
- Katsumi Sakata
- National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan.
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196
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Abstract
Draft genome sequences have been reported for two subspecies of rice. The drafts include the sequences of an estimated 99% of all rice genes and provide major advances in our understanding of the content and complexity of cereal genomes in general and the rice genome in particular.
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Affiliation(s)
- Ian Bancroft
- John Innes Centre, Norwich Research Park, Colney, Norwich NR4 7UH, UK.
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197
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Abstract
As plant cells are highly compartmentalized, the entrance and exit points of metabolic pathways frequently involve membrane passages of solutes. Transport proteins are often located in strategic positions to control whole pathways and have to be considered in the development of metabolic engineering strategies. Here, we discuss examples of pathways (in carbohydrate metabolism, amino acid and secondary compound synthesis, and mineral metabolism) in which membrane transport steps are considered to exert major control and in which transport proteins have been employed to manipulate metabolic fluxes.
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Affiliation(s)
- Reinhard Kunze
- Botanical Institute, University of Cologne, Gyrhofstrasse 15, 50931 Cologne, Germany.
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198
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Cheng Z, Buell CR, Wing RA, Gu M, Jiang J. Toward a cytological characterization of the rice genome. Genome Res 2001; 11:2133-41. [PMID: 11731505 PMCID: PMC311230 DOI: 10.1101/gr.194601] [Citation(s) in RCA: 132] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Rice (Oryza sativa L.) will be the first major crop, as well as the first monocot plant species, to be completely sequenced. Integration of DNA sequence-based maps with cytological maps will be essential to fully characterize the rice genome. We have isolated a set of 24 chromosomal arm-specific bacterial artificial chromosomes to facilitate rice chromosome identification. A standardized rice karyotype was constructed using meiotic pachytene chromosomes of O. sativa spp. japonica rice var. Nipponbare. This karyotype is anchored by centromere-specific and chromosomal arm-specific cytological landmarks and is fully integrated with the most saturated rice genetic linkage maps in which Nipponbare was used as one of the mapping parents. An ideogram depicting the distribution of heterochromatin in the rice genome was developed based on the patterns of 4',6-diamidino-2-phenylindole staining of the Nipponbare pachytene chromosomes. The majority of the heterochromatin is distributed in the pericentric regions with some rice chromosomes containing a significantly higher proportion of heterochromatin than other chromosomes. We showed that pachytene chromosome-based fluorescence in situ hybridization analysis is the most effective approach to integrate DNA sequences with euchromatic and heterochromatic features.
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Affiliation(s)
- Z Cheng
- Department of Horticulture, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
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199
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Yu J, Hu S, Wang J, Li S, Wong KSG, Liu B, Deng Y, Dai L, Zhou Y, Zhang X, Cao M, Liu J, Sun J, Tang J, Chen Y, Huang X, Lin W, Ye C, Tong W, Cong L, Geng J, Han Y, Li L, Li W, Hu G, Huang X, Li W, Li J, Liu Z, Li L, Liu J, Qi Q, Liu J, Li L, Wang X, Lu H, Wu T, Zhu M, Ni P, Han H, Dong W, Ren X, Feng X, Cui P, Li X, Wang H, Xu X, Zhai W, Xu Z, Zhang J, He S, Zhang J, Xu J, Zhang K, Zheng X, Dong J, Zeng W, Tao L, Chen X, He J, Liu D, Tian W, Tian C, Xia H, Li G, Gao H, Li P, Chen W, Wang X, Zhang Y, Hu J, Wang J, Liu S, Yang J, Zhang G, Xiong Y, Li Z, Mao L, Zhou C, Zhu Z, Chen R, Hao B, Zheng W, Chen S, Guo W, Li G, Liu S, Huang G, Tao M, Wang J, Zhu L, Yuan L, Yang H. A draft sequence of the rice (Oryza sativa ssp.indica) genome. ACTA ACUST UNITED AC 2001. [DOI: 10.1007/bf02901901] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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200
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Kim S, Ahn IP, Lee YH. Analysis of genes expressed during rice-Magnaporthe grisea interactions. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2001; 14:1340-6. [PMID: 11763134 DOI: 10.1094/mpmi.2001.14.11.1340] [Citation(s) in RCA: 59] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Expressed sequence tag (EST) analysis was applied to identify rice genes involved in defense responses against infection by the blast fungus Magnaporthe grisea and fungal genes involved in growth within the host during a compatible interaction. A total of 511 clones was sequenced from a cDNA library constructed from rice leaves (Oryza sativa cv. Nipponbare) infected with M. grisea strain 70-15 to generate 296 nonredundant ESTs. The sequences of 293 clones (57.3%) significantly matched National Center for Biotechnology Information database entries; 221 showed homologies with previously identified plant genes and 72 with fungal genes. Among the genes with assigned functions, 32.8% were associated with metabolism, 29.4% with cell/organism defense or pathogenicity, and 18.4% with gene/protein expression. cDNAs encoding a type I metallothionein (MTs-1) of rice and a homolog of glucose-repressible gene 1 (GRG1) of Neurospora crassa were the most abundant representatives of plant and fungal genes, comprising 2.9 and 1.6% of the total clones, respectively. The expression patterns of 10 ESTs, five each from rice and M. grisea, were analyzed. Five defense-related genes in rice, including four pathogenesis-related genes and MTs-1, were highly expressed during M. grisea infection. Expression of five stress-inducible or pathogenicity-related genes of the fungus, including two hydrophobin genes, was also induced during growth within the host. Further characterization of the genes represented in this study would be an aid in unraveling the mechanisms of pathogenicity of M. grisea and the defense responses of rice.
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Affiliation(s)
- S Kim
- School of Agricultural Biotechnology and Research Center for New Bio-Materials in Agriculture, Seoul National University, Suwon, Korea
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