Biomedical subjects

Lee H Pratt

Publications and source records attributed to Lee H Pratt.

6 recordsLinked to original sources

PubMed2006

MAGIC-SPP: a database-driven DNA sequence processing package with associated management tools.

BACKGROUND: Processing raw DNA sequence data is an especially challenging task for relatively small laboratories and core facilities that produce as many as 5000 or more DNA sequences per week from multiple projects in widely differing species. To meet this challenge, we have developed the flexible, scalable, and automated sequence processing package described here. RESULTS: MAGIC-SPP is a DNA sequence processing package consisting of an Oracle 9i relational database, a Perl pipeline, and user interfaces implemented either as JavaServer Pages (JSP) or as a Java graphical user interface (GUI). The database not only serves as a data repository, but also controls processing of trace files. MAGIC-SPP includes an administrative interface, a laboratory information management system, and interfaces for exploring sequences, monitoring quality control, and troubleshooting problems related to sequencing activities. In the sequence trimming algorithm it employs new features designed to improve performance with respect to concerns such as concatenated linkers, identification of the expected start position of a vector insert, and extending the useful length of trimmed sequences by bridging short regions of low quality when the following high quality segment is sufficiently long to justify doing so. CONCLUSION: MAGIC-SPP has been designed to minimize human error, while simultaneously being robust, versatile, flexible and automated. It offers a unique combination of features that permit administration by a biologist with little or no informatics background. It is well suited to both individual research programs and core facilities.

Algorithms↗

PubMed2006

Water stress-responsive genes in loblolly pine (Pinus taeda) roots identified by analyses of expressed sequence tag libraries.

Drought stress is the principal cause of seedling mortality in pine forests of the southeastern United States and in many other forested regions around the globe. As part of a larger effort to discover loblolly pine genes, this study subjected rooted cuttings of three unrelated pine genotypes to three watering regimens. Expressed sequence tags (ESTs) were obtained from both the 3' and 5' ends of 12,918 randomly selected cDNAs generated from root tissues. These ESTs were clustered to identify 6,765 unique transcripts (UniScripts) derived from 6,202 putative unique genes (UniGenes-S). Tentative annotations were assigned on the basis of BLASTX comparisons to the Protein Information Resource Nonredundant Reference (PIR-NREF) database. Expression levels of 42 UniScripts varied with high statistical significance with respect to treatment. Many of them resembled gene products shown to be important for drought tolerance in other species, including dehydrins, endochitinases, cytochrome P450 enzymes, pathogenesis-related proteins and various late-embryogenesis abundant (LEA) gene products. Similarly, expression levels of 110 UniScripts varied with high statistical significance among genotypes, indicating that gene expression patterns in this species are much more dependent on genotype than on treatment. Most of the water stress-induced pine UniScripts that appeared to encode products resembling drought tolerance factors in other species were most highly induced in a single genotype, suggesting that particularly useful adaptive alleles for drought tolerance might exist within the collection of cDNAs characterized from this genotype. Mining and visualizing the complete data set, as well as downloading of both EST and UniScript contig sequences, are possible using MAGIC Gene Discovery at http://fungen.org/genediscovery/.

Acclimatization↗

PubMed2005

Analysis and mapping of randomly chosen bacterial artificial chromosome clones from hexaploid bread wheat.

The current view of wheat genome composition is that genes are compartmentalized into gene-rich and gene-poor regions. This model can be tested by analyzing randomly selected bacterial artificial chromosome (BAC) clones for gene content, followed by placement of these BACs onto physical and genetic maps. Map localization could be difficult for BACs that consist entirely of repeated elements. We therefore developed a technique where repeat junctions are used to generate unique markers. Four BAC clones from hexaploid wheat variety Chinese Spring were randomly selected and sequenced at 4- to 6-fold redundancy. About 50% of the BAC sequences corresponded to previously identified repeats, mainly LTR-retrotransposons, whereas most of the remaining DNA consisted of sequences with unknown origin or function. The average gene content was <1%, although each BAC contained one or two identified genes. Repeat boundaries were amplified and used to map each clone to a chromosome arm. Extrapolation from wheat-rice comparative knowledge suggests that three of the four BAC clones originate from "gene-rich" regions of the wheat genome. Nevertheless, because these BACs carry only a single gene (two BACs) or two genes (one BAC), the predicted gene density is approximately 1 gene per 75 kb, which is considerably lower than previously estimated gene densities (one gene per 5-20 kb) for gene-rich regions in wheat. This analysis of randomly selected wheat BAC clones suggests that genes are more evenly distributed in wheat than previously believed and substantiates the need for large-scale random BAC sequencing to determine wheat genome organization.

Bread↗

PubMed2005

Sorghum expressed sequence tags identify signature genes for drought, pathogenesis, and skotomorphogenesis from a milestone set of 16,801 unique transcripts.

Improved knowledge of the sorghum transcriptome will enhance basic understanding of how plants respond to stresses and serve as a source of genes of value to agriculture. Toward this goal, Sorghum bicolor L. Moench cDNA libraries were prepared from light- and dark-grown seedlings, drought-stressed plants, Colletotrichum-infected seedlings and plants, ovaries, embryos, and immature panicles. Other libraries were prepared with meristems from Sorghum propinquum (Kunth) Hitchc. that had been photoperiodically induced to flower, and with rhizomes from S. propinquum and johnsongrass (Sorghum halepense L. Pers.). A total of 117,682 expressed sequence tags (ESTs) were obtained representing both 3' and 5' sequences from about half that number of cDNA clones. A total of 16,801 unique transcripts, representing tentative UniScripts (TUs), were identified from 55,783 3' ESTs. Of these TUs, 9,032 are represented by two or more ESTs. Collectively, these libraries were predicted to contain a total of approximately 31,000 TUs. Individual libraries, however, were predicted to contain no more than about 6,000 to 9,000, with the exception of light-grown seedlings, which yielded an estimate of close to 13,000. In addition, each library exhibits about the same level of complexity with respect to both the number of TUs preferentially expressed in that library and the frequency with which two or more ESTs is found in only that library. These results indicate that the sorghum genome is expressed in highly selective fashion in the individual organs and in response to the environmental conditions surveyed here. Close to 2,000 differentially expressed TUs were identified among the cDNA libraries examined, of which 775 were differentially expressed at a confidence level of 98%. From these 775 TUs, signature genes were identified defining drought, Colletotrichum infection, skotomorphogenesis (etiolation), ovary, immature panicle, and embryo.

DNA, Complementary↗

PubMed2005

Transcriptional profiling of sorghum induced by methyl jasmonate, salicylic acid, and aminocyclopropane carboxylic acid reveals cooperative regulation and novel gene responses.

We have conducted a large-scale study of gene expression in the C4 monocot sorghum (Sorghum bicolor) L. Moench cv BTx623 in response to the signaling compounds salicylic acid (SA), methyl jasmonate (MeJA), and the ethylene precursor aminocyclopropane carboxylic acid. Expression profiles were generated from seedling root and shoot tissue at 3 and 27 h, using a microarray containing 12,982 nonredundant elements. Data from 102 slides and quantitative reverse transcription-PCR data on mRNA abundance from 171 genes were collected and analyzed and are here made publicly available. Numerous gene clusters were identified in which expression was correlated with particular signaling compound and tissue combinations. Many genes previously implicated in defense responded to the treatments, including numerous pathogenesis-related genes and most members of the phenylpropanoid pathway, and several other genes that may represent novel activities or pathways. Genes of the octadecanoic acid pathway of jasmonic acid (JA) synthesis were induced by SA as well as by MeJA. The resulting hypothesis that increased SA could lead to increased endogenous JA production was confirmed by measurement of JA content. Comparison of responses to SA, MeJA, and combined SA+MeJA revealed patterns of one-way and mutual antagonisms, as well as synergistic effects on regulation of some genes. These experiments thus help further define the transcriptional results of cross talk between the SA and JA pathways and suggest that a subset of genes coregulated by SA and JA may comprise a uniquely evolved sector of plant signaling responsive cascades.

Acetates↗

PubMed2005

Sorghum bicolor's transcriptome response to dehydration, high salinity and ABA.

Genome wide changes in gene expression were monitored in the drought tolerant C4 cereal Sorghum bicolor, following exposure of seedlings to high salinity (150 mM NaCl), osmotic stress (20% polyethylene glycol) or abscisic acid (125 microM ABA). A sorghum cDNA microarray providing data on 12,982 unique gene clusters was used to examine gene expression in roots and shoots at 3- and 27-h post-treatment. Expression of approximately 2200 genes, including 174 genes with currently unknown functions, of which a subset appear unique to monocots and/or sorghum, was altered in response to dehydration, high salinity or ABA. The modulated sorghum genes had homology to proteins involved in regulation, growth, transport, membrane/protein turnover/repair, metabolism, dehydration protection, reactive oxygen scavenging, and plant defense. Real-time PCR was used to quantify changes in relative mRNA abundance for 333 genes that responded to ABA, NaCl or osmotic stress. Osmotic stress inducible sorghum genes identified for the first time included a beta-expansin expressed in shoots, actin depolymerization factor, inositol-3-phosphate synthase, a non-C4 NADP-malic enzyme, oleosin, and three genes homologous to 9-cis-epoxycarotenoid dioxygenase that may be involved in ABA biosynthesis. Analysis of response profiles demonstrated the existence of a complex gene regulatory network that differentially modulates gene expression in a tissue- and kinetic-specific manner in response to ABA, high salinity and water deficit. Modulation of genes involved in signal transduction, chromatin structure, transcription, translation and RNA metabolism contributes to sorghum's overlapping but nonetheless distinct responses to ABA, high salinity, and osmotic stress. Overall, this study provides a foundation of information on sorghum's osmotic stress responsive gene complement that will accelerate follow up biochemical, QTL and comparative studies.

Abscisic Acid↗