The organization of cytoplasmic ribosomal protein genes in the Arabidopsis genome

Eukaryotic ribosomes are made of two components, four ribosomal RNAs, and approximately 80 ribosomal proteins (r-proteins). The exact number of r-proteins and r-protein genes in higher plants is not known. The strong conservation in eukaryotic r-protein primary sequence allowed us to use the well-characterized rat (Rattus norvegicus) r-protein set to identify orthologues on the five haploid chromosomes of Arabidopsis. By use of the numerous expressed sequence tag (EST) accessions and the complete genomic sequence of this species, we identified 249 genes (including some pseudogenes) corresponding to 80 (32 small subunit and 48 large subunit) cytoplasmic r-protein types. None of the r-protein genes are single copy and most are encoded by three or four expressed genes, indicative of the internal duplication of the Arabidopsis genome. The r-proteins are distributed throughout the genome. Inspection of genes in the vicinity of r-protein gene family members confirms extensive duplications of large chromosome fragments and sheds light on the evolutionary history of the Arabidopsis genome. Examination of large duplicated regions indicated that a significant fraction of the r-protein genes have been either lost from one of the duplicated fragments or inserted after the initial duplication event. Only 52 r-protein genes lack a matching EST accession, and 19 of these contain incomplete open reading frames, confirming that most genes are expressed. Assessment of cognate EST numbers suggests that r-protein gene family members are differentially expressed.     

Phylogenomics of prokaryotic ribosomal proteins

Archaeal and bacterial ribosomes contain more than 50 proteins, including 34 that are universally conserved in the three domains of cellular life (bacteria, archaea, and eukaryotes). Despite the high sequence conservation, annotation of ribosomal (r-) protein genes is often difficult because of their short lengths and biased sequence composition. We developed an automated computational pipeline for identification of r-protein genes and applied it to 995 completely sequenced bacterial and 87 archaeal genomes available in the RefSeq database. The pipeline employs curated seed alignments of r-proteins to run position-specific scoring matrix (PSSM)-based BLAST searches against six-frame genome translations, mitigating possible gene annotation errors. As a result of this analysis, we performed a census of prokaryotic r-protein complements, enumerated missing and paralogous r-proteins, and analyzed the distributions of ribosomal protein genes among chromosomal partitions. Phyletic patterns of bacterial and archaeal r-protein genes were mapped to phylogenetic trees reconstructed from concatenated alignments of r-proteins to reveal the history of likely multiple independent gains and losses. These alignments, available for download, can be used as search profiles to improve genome annotation of r-proteins and for further comparative genomics studies.     

Identification of the entire set of transferred chloroplast DNA sequences in the mitochondrial genome of rice

Summary The entire set of transferred chloroplast DNA sequences in the mitochondrial genome of rice (Oryza sativa cv. Nipponbare) was identified using clone banks that cover the chloroplast and mitochondrial genomes. The mitochondrial fragments that were homologous to chloroplast DNA were mapped and sequenced. The nucleotide sequences around the termini of integrated chloroplast sequences in the rice mtDNA revealed no common sequences or structures that might enhance the transfer of DNA. Sixteen chloroplast sequences, ranging from 32 bases to 6.8 kb in length, were found to be dispersed throughout the rice mitochondrial genome. The total length of these sequences is equal to approximately 6% (22 kb) of the rice mitochondrial genome and to 19% of the chloroplast genome. The transfer of segments of chloroplast DNA seems to have occurred at different times, both before and after the divergence of rice and maize. The mitochondrial genome appears to have been rearranged after the transfer of chloroplast sequences as a result of recombination at these sequences. The rice mitochondrial DNA contains nine intact tRNA genes and three tRNA pseudogenes derived from the chloroplast genome.     

Insights into cereal genomes from two draft genome sequences of rice

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.     

Gene identification using rice genome sequences

Identifying useful gene(s) is one of the most important objectives of plant geneticists. Various strategies can be used, which are based on the characteristics of plant reproduction and available technology. Rice is the first model crop whose whole genome sequence has been reported. In addition, information on the whole genome sequences of two important rice subspecies (japonica and indica rice) is also available. Rice is a self-pollinating crop and methods of artificial crossing are relatively easy to perform; such methods enable the production of numerous seeds for genetic analyses. Based on these features, a map-based cloning (i.e., positional cloning) strategy has been successfully applied over the last decade to identify rice genes. Recently, advanced next-generation sequencing (NGS) technology was used to ascertain the genome sequences of individual plants, opening up a new strategy for gene identification. This strategy has been used successfully to identify the genes responsible for certain qualitative traits in rice. However, to identify the gene(s) involved in a quantitative trait, a map-based cloning strategy is still required after quantitative trait loci analysis using NGS technology. In this review, we discuss both map-based cloning (which is still the primary strategy used to identify rice genes) and NGS-based strategies.     

Ribosomal proteins are encoded by single copy genes in Dictyostelium discoideum

Five recombinant plasmids which encode ribosomal proteins (r-proteins) from Dictyostelium discoideum have been isolated. Poly(A) + RNA was size-fractionated by preparative agarose gel electrophoresis and a fraction encoding proteins of less than 35 kDa was used to construct a cDNA library in the plasmid vector pBR322. Individual clones from the library were screened by hybrid-selected translation and those encoding r-proteins were identified by co-migration of the translation products in two-dimensional gel electrophoresis with marker proteins purified from Dictyostelium ribosomes. Initial characterization using the five cDNA plasmids indicates that these r-proteins are encoded by single copy genes and that they are not tightly clustered in the genome.     

Xenopus laevis ribosomal protein genes: isolation of recombinant cDNA clones and study of the genomic organization.

Poly-A+ mRNA from Xenopus laevis oocytes, partially enriched for r-protein coding capacity has been used as starting material for preparing a cDNA bank in plasmid pBR322. The clones containing sequences specific for r-proteins have been selected by translation of the complementary mRNAs. Clones for six different r-proteins have been identified and utilized as probes for studying their genomic organization. Two gene copies per haploid genome were found for r-proteins L1, L14, S19, and four-five for protein S1, S8 and L32. Moreover a population polymorphism has been observed for the genomic regions containing sequences for r-protein S1, S8 and L14.     

MITE-Hunter: a program for discovering miniature inverted-repeat transposable elements from genomic sequences

Miniature inverted-repeat transposable elements (MITEs) are a special type of Class 2 non-autonomous transposable element (TE) that are abundant in the non-coding regions of the genes of many plant and animal species. The accurate identification of MITEs has been a challenge for existing programs because they lack coding sequences and, as such, evolve very rapidly. Because of their importance to gene and genome evolution, we developed MITE-Hunter, a program pipeline that can identify MITEs as well as other small Class 2 non-autonomous TEs from genomic DNA data sets. The output of MITE-Hunter is composed of consensus TE sequences grouped into families that can be used as a library file for homology-based TE detection programs such as RepeatMasker. MITE-Hunter was evaluated by searching the rice genomic database and comparing the output with known rice TEs. It discovered most of the previously reported rice MITEs (97.6%), and found sixteen new elements. MITE-Hunter was also compared with two other MITE discovery programs, FINDMITE and MUST. Unlike MITE-Hunter, neither of these programs can search large genomic data sets including whole genome sequences. More importantly, MITE-Hunter is significantly more accurate than either FINDMITE or MUST as the vast majority of their outputs are false-positives.     

Targeted analysis of orthologous phytochrome A regions of the sorghum,maize, and rice genomes using comparative gene-island sequencing

A "gene-island" sequencing strategy has been developed that expedites the targeted acquisition of orthologous gene sequences from related species for comparative genome analysis. A 152-kb bacterial artificial chromosome (BAC) clone from sorghum (Sorghum bicolor) encoding phytochrome A (PHYA) was fully sequenced, revealing 16 open reading frames with a gene density similar to many regions of the rice (Oryza sativa) genome. The sequences of genes in the orthologous region of the maize (Zea mays) and rice genomes were obtained using the gene-island sequencing method. BAC clones containing the orthologous maize and rice PHYA genes were identified, sheared, subcloned, and probed with the sorghum PHYA-containing BAC DNA. Sequence analysis revealed that approximately 75% of the cross-hybridizing subclones contained sequences orthologous to those within the sorghum PHYA BAC and less than 25% contained repetitive and/or BAC vector DNA sequences. The complete sequence of four genes, including up to 1 kb of their promoter regions, was identified in the maize PHYA BAC. Nine orthologous gene sequences were identified in the rice PHYA BAC. Sequence comparison of the orthologous sorghum and maize genes aided in the identification of exons and conserved regulatory sequences flanking each open reading frame. Within genomic regions where micro-colinearity of genes is absolutely conserved, gene-island sequencing is a particularly useful tool for comparative analysis of genomes between related species.     

Dynamic protein composition of Arabidopsis thaliana cytosolic ribosomes in response to sucrose feeding as revealed by label free MSE proteomics

Cytosolic ribosomes are among the largest multisubunit cellular complexes. Arabidopsis thaliana ribosomes consist of 79 different ribosomal proteins (r-proteins) that each are encoded by two to six (paralogous) genes. It is unknown whether the paralogs are incorporated into the ribosome and whether the relative incorporation of r-protein paralogs varies in response to environmental cues. Immunopurified ribosomes were isolated from A. thaliana rosette leaves fed with sucrose. Trypsin digested samples were analyzed by qTOF-LC-MS using both MS(E) and classical MS/MS. Peptide features obtained by using these two methods were identified using MASCOT and Proteinlynx Global Server searching the theoretical sequences of A. thaliana proteins. The A. thaliana genome encodes 237 r-proteins and 69% of these were identified with proteotypic peptides for most of the identified proteins. These r-proteins were identified with average protein sequence coverage of 32% observed by MS(E) . Interestingly, the analysis shows that the abundance of r-protein paralogs in the ribosome changes in response to sucrose feeding. This is particularly evident for paralogous RPS3aA, RPS5A, RPL8B, and RACK1 proteins. These results show that protein synthesis in the A. thaliana cytosol involves a heterogeneous ribosomal population. The implications of these findings in the regulation of translation are discussed.     

水稻单核苷酸多态性及其应用现状

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

Identification and mapping of expressed genes, simple sequence repeats and transposable elements in centromeric regions of rice chromosomes.

The genomic sequences derived from rice centromeric regions were analyzed to facilitate the comprehensive understanding of the rice genome. A rice centromere-specific satellite sequence, RCS2/TrsD/CentO, was used to screen P1-derived artificial chromosome (PAC) and bacterial artificial chromosome (BAC) genomic libraries derived from Oryza sativa L. ssp. japonica cultivar Nipponbare. Physical maps of the centromeric regions were constructed by DNA fingerprinting methods and the aligned clones were analyzed by end sequencing. BLAST analysis revealed the composition of genes, centromeric satellites and other repetitive elements, such as RIRE7/CRR, RIRE8, Squiq, Anaconda, CACTA and miniature inverted-repeat transposable elements. Fiber-fluorescent in situ hybridization analysis also indicated the presence of distinct clusters of RCS2/TrsD/CentO satellite interspersed with other elements, instead of a long homogeneous region. Several expressed genes, sequences representative of ancestral organellar insertions, relatively long simple sequence repeats (SSRs), and sequences corresponding to 5S and 45S ribosomal RNA genes were also identified. Thirty-one gene sequences showed high-similarity to rice full-length cDNA sequences that had not been matched to the published rice genome sequence in silico. These results suggest the presence of expressed genes within and around the clusters of RCS2/TrsD/CentO satellites in unsequenced centromeric regions of the rice chromosomes.     

Full-genome analysis of resistance gene homologues in rice

The availability of the rice genome sequence enabled the global characterization of nucleotide-binding site (NBS)–leucine-rich repeat (LRR) genes, the largest class of plant disease resistance genes. The rice genome carries approximately 500 NBS–LRR genes that are very similar to the non-Toll/interleukin-1 receptor homology region (TIR) class (class 2) genes of Arabidopsis but none that are homologous to the TIR class genes. Over 100 of these genes were predicted to be pseudogenes in the rice cultivar Nipponbare, but some of these are functional in other rice lines. Over 80 other NBS-encoding genes were identified that belonged to four different classes, only two of which are present in dicotyledonous plant sequences present in databases. Map positions of the identified genes show that these genes occur in clusters, many of which included members from distantly related groups. Members of phylogenetic subgroups of the class 2 NBS–LRR genes mapped to as many as ten different chromosomes. The patterns of duplication of the NBS–LRR genes indicate that they were duplicated by many independent genetic events that have occurred continuously through the expansion of the NBS–LRR superfamily and the evolution of the modern rice genome. Genetic events, such as inversions, that inhibit the ability of recently duplicated genes to recombine promote the divergence of their sequences by inhibiting concerted evolution.Electronic Supplementary Material Supplementary material is available for this article at     

Sequence-based alignment of sorghum chromosome 3 and rice chromosome 1 reveals extensive conservation of gene order and one major chromosomal rearrangement

The completed rice genome sequence will accelerate progress on the identification and functional classification of biologically important genes and serve as an invaluable resource for the comparative analysis of grass genomes. In this study, methods were developed for sequence-based alignment of sorghum and rice chromosomes and for refining the sorghum genetic/physical map based on the rice genome sequence. A framework of 135 BAC contigs spanning approximately 33 Mbp was anchored to sorghum chromosome 3. A limited number of sequences were collected from 118 of the BACs and subjected to BLASTX analysis to identify putative genes and BLASTN analysis to identify sequence matches to the rice genome. Extensive conservation of gene content and order between sorghum chromosome 3 and the homeologous rice chromosome 1 was observed. One large-scale rearrangement was detected involving the inversion of an approximately 59 cM block of the short arm of sorghum chromosome 3. Several small-scale changes in gene collinearity were detected, indicating that single genes and/or small clusters of genes have moved since the divergence of sorghum and rice. Additionally, the alignment of the sorghum physical map to the rice genome sequence allowed sequence-assisted assembly of an approximately 1.6 Mbp sorghum BAC contig. This streamlined approach to high-resolution genome alignment and map building will yield important information about the relationships between rice and sorghum genes and genomic segments and ultimately enhance our understanding of cereal genome structure and evolution.