Transcriptional profiling of the leaves of near-isogenic rice lines with contrasting drought tolerance at the reproductive stage in response to water deficit

Different genes involved in ABA and calcium signaling in leaf tissue of rice NILs and the parent IR64 under different water-deficit treatments. 1: up-regulated; -1: down-regulated; blank: no change in expression; 10: IR77298-14-1-2-B tolerant NIL, i.e., IR77298-14-1-2-B-10; 13: IR77298-14-1-2-B susceptible NIL, i.e., IR77298-14-1-2-B-13; 18: IR77298-5-6-B tolerant NIL, i.e., IR77298-5-6-B-18; 11: IR77298-5-6-B susceptible NIL, i.e., IR77298-5-6-B-11; 0.2 and 0.5 FTSW are severe and mild water-deficit treatments (XLSX 46 kb

Accurate Reconstruction of Molecular Phylogenies for Proteins Using Codon and Amino Acid Unified Sequence Alignments (CAUSA)

Based on molecular clock hypothesis, and neutral theory of molecular evolution, molecular phylogenies have been widely used for inferring evolutionary history of organisms and individual genes. Traditionally, alignments and phylogeny trees of proteins and their coding DNA sequences are constructed separately, thus often different conclusions were drawn. Here we present a new strategy for sequence alignment and phylogenetic tree reconstruction, codon and amino acid unified sequence alignment (CAUSA), which aligns DNA and protein sequences and draw phylogenetic trees in a unified manner. We demonstrated that CAUSA improves both the accuracy of multiple sequence alignments and phylogenetic trees by solving a variety of molecular evolutionary problems in virus, bacteria and mammals. Our results support the hypothesis that the molecular clock for proteins has two pointers existing separately in DNA and protein sequences. It is more accurate to read the molecular clock by combination (additive) of these two pointers, since the ticking rates of them are sometimes consistent, sometimes different. CAUSA software were released as Open Source under GNU/GPL license, and are downloadable free of charge from the website www.dnapluspro.com

Frequency, type, and distribution of EST-SSRs from three genotypes of Lolium perenne, and their conservation across orthologous sequences of Festuca arundinacea, Brachypodium distachyon, and Oryza sativa

<p>Abstract</p> <p>Background</p> <p>Simple sequence repeat (SSR) markers are highly informative and widely used for genetic and breeding studies in several plant species. They are used for cultivar identification, variety protection, as anchor markers in genetic mapping, and in marker-assisted breeding. Currently, a limited number of SSR markers are publicly available for perennial ryegrass (<it>Lolium perenne</it>). We report on the exploitation of a comprehensive EST collection in <it>L. perenne </it>for SSR identification. The objectives of this study were 1) to analyse the frequency, type, and distribution of SSR motifs in ESTs derived from three genotypes of <it>L. perenne</it>, 2) to perform a comparative analysis of SSR motif polymorphisms between allelic sequences, 3) to conduct a comparative analysis of SSR motif polymorphisms between orthologous sequences of <it>L. perenne</it>, <it>Festuca arundinacea, Brachypodium distachyon</it>, and <it>O. sativa</it>, 4) to identify functionally associated EST-SSR markers for application in comparative genomics and breeding.</p> <p>Results</p> <p>From 25,744 ESTs, representing 8.53 megabases of nucleotide information from three genotypes of <it>L. perenne</it>, 1,458 ESTs (5.7%) contained one or more SSRs. Of these SSRs, 955 (3.7%) were non-redundant. Tri-nucleotide repeats were the most abundant type of repeats followed by di- and tetra-nucleotide repeats. The EST-SSRs from the three genotypes were analysed for allelic- and/or genotypic SSR motif polymorphisms. Most of the SSR motifs (97.7%) showed no polymorphisms, whereas 22 EST-SSRs showed allelic- and/or genotypic polymorphisms. All polymorphisms identified were changes in the number of repeat units. Comparative analysis of the <it>L. perenne </it>EST-SSRs with sequences of <it>Festuca arundinacea</it>, <it>Brachypodium distachyon</it>, and <it>Oryza sativa </it>identified 19 clusters of orthologous sequences between these four species. Analysis of the clusters showed that the SSR motif generally is conserved in the closely related species <it>F. arundinacea</it>, but often differs in length of the SSR motif. In contrast, SSR motifs are often lost in the more distant related species <it>B. distachyon </it>and <it>O. sativa</it>.</p> <p>Conclusion</p> <p>The results indicate that the <it>L. perenne </it>EST-SSR markers are a valuable resource for genetic mapping, as well as evaluation of co-location between QTLs and functionally associated markers.</p

Genes, Environment, and Health Disparities: Risks and Benefits of Gene-Environment Interactions Research

Genes, Environment, and Health Disparities: Risks and Benefits of Gene-Environment Interactions Researc

Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data

<p>Abstract</p> <p>Background</p> <p>Phytohormones organize plant development and environmental adaptation through cell-to-cell signal transduction, and their action involves transcriptional activation. Recent international efforts to establish and maintain public databases of <it>Arabidopsis </it>microarray data have enabled the utilization of this data in the analysis of various phytohormone responses, providing genome-wide identification of promoters targeted by phytohormones.</p> <p>Results</p> <p>We utilized such microarray data for prediction of <it>cis</it>-regulatory elements with an octamer-based approach. Our test prediction of a drought-responsive RD29A promoter with the aid of microarray data for response to drought, ABA and overexpression of DREB1A, a key regulator of cold and drought response, provided reasonable results that fit with the experimentally identified regulatory elements. With this succession, we expanded the prediction to various phytohormone responses, including those for abscisic acid, auxin, cytokinin, ethylene, brassinosteroid, jasmonic acid, and salicylic acid, as well as for hydrogen peroxide, drought and DREB1A overexpression. Totally 622 promoters that are activated by phytohormones were subjected to the prediction. In addition, we have assigned putative functions to 53 octamers of the Regulatory Element Group (REG) that have been extracted as position-dependent <it>cis</it>-regulatory elements with the aid of their feature of preferential appearance in the promoter region.</p> <p>Conclusions</p> <p>Our prediction of <it>Arabidopsis cis</it>-regulatory elements for phytohormone responses provides guidance for experimental analysis of promoters to reveal the basis of the transcriptional network of phytohormone responses.</p

Development of a novel data mining tool to find cis-elements in rice gene promoter regions

<p>Abstract</p> <p>Background</p> <p>Information on more than 35 000 full-length <it>Oryza sativa </it>cDNAs, together with associated microarray gene expression data collected under various treatment conditions, has made it feasible to identify motifs that are conserved in gene promoters and may act as <it>cis</it>-regulatory elements with key roles under the various conditions.</p> <p>Results</p> <p>We have developed a novel tool that searches for <it>cis</it>-element candidates in the upstream, downstream, or coding regions of differentially regulated genes. The tool first lists <it>cis-</it>element candidates by motif searching based on the supposition that if there are <it>cis-</it>elements playing important roles in the regulation of a given set of genes, they will be statistically overrepresented and will be conserved. Then it evaluates the likelihood scores of the listed candidate motifs by association rule analysis. This strategy depends on the idea that motifs overrepresented in the promoter region could play specific roles in the regulation of expression of these genes. The tool is designed so that any biological researchers can use it easily at the publicly accessible Internet site <url>http://hpc.irri.cgiar.org/tool/nias/ces</url>. We evaluated the accuracy and utility of the tool by using a dataset of auxin-inducible genes that have well-studied <it>cis-</it>elements. The test showed the effectiveness of the tool in identifying significant relationships between <it>cis-</it>element candidates and related sets of genes.</p> <p>Conclusion</p> <p>The tool lists possible <it>cis-</it>element motifs corresponding to genes of interest, and it will contribute to the deeper understanding of gene regulatory mechanisms in plants.</p