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Scott V Tingey

Publications and source records attributed to Scott V Tingey.

3 recordsLinked to original sources

Genome-wide gene expression profiling in Arabidopsis thaliana reveals new targets of abscisic acid and largely impaired gene regulation in the abi1-1 mutant.

The phytohormone abscisic acid (ABA) plays important regulatory roles in many plant developmental processes including seed dormancy, germination, growth, and stomatal movements. These physiological responses to ABA are in large part brought about by changes in gene expression. To study genome-wide ABA-responsive gene expression we applied massively parallel signature sequencing (MPSS) to samples from Arabidopsis thaliana wildtype (WT) and abi1-1 mutant seedlings. We identified 1354 genes that are either up- or downregulated following ABA treatment of WT seedlings. Among these ABA-responsive genes, many encode signal transduction components. In addition, we identified novel ABA-responsive gene families including those encoding ribosomal proteins and proteins involved in regulated proteolysis. In the ABA-insensitive mutant abi1-1, ABA regulation of about 84.5% and 6.9% of the identified genes was impaired or strongly diminished, respectively; however, 8.6% of the genes remained appropriately regulated. Compared to other methods of gene expression analysis, the high sensitivity and specificity of MPSS allowed us to identify a large number of ABA-responsive genes in WT Arabidopsis thaliana. The database given in our supplementary material (http://jcs.biologists.org/supplemental) provides researchers with the opportunity to rapidly assess whether genes of interest may be regulated by ABA. Regulation of the majority of the genes by ABA was impaired in the ABA-insensitive mutant abi1-1. However, a subset of genes continued to be appropriately regulated by ABA, which suggests the presence of at least two ABA signaling pathways, only one of which is blocked in abi1-1.

Abscisic Acid↗

DNA array profiling of gene expression changes during maize embryo development.

We are using DNA microarray-based gene expression profiling to classify temporal patterns of gene expression during the development of maize embryos, to understand mRNA-level control of embryogenesis and to dissect metabolic pathways and their interactions in the maize embryo. Genes involved in carbohydrate, fatty acid, and amino acid metabolism, the tricarboxylic acid (TCA) cycle, glycolysis, the pentose phosphate pathway, embryogenesis, membrane transport, signal transduction, cofactor biosynthesis, photosynthesis, oxidative phosphorylation and electron transfer, as well as 600 random complementary DNA (cDNA) clones from maize embryos, were arrayed on glass slides. DNA arrays were hybridized with fluorescent dye-labeled cDNA probes synthesized from kernel and embryo poly(A)(+)RNA from different stages of maize seed development. Several characteristic developmental patterns of expression were identified and correlated with gene function. Patterns of coordinated gene expression in the TCA cycle and glycolysis were analyzed in detail. The steady state level of poly(A)(+) RNA for many genes varies dramatically during maize embryo development. Expression patterns of genes coding for enzymes of fatty acid biosynthesis and glycolysis are coordinately regulated during development. Genes of unknown function may by assigned a hypothetical role based on their patterns of expression resembling well characterized genes. Electronic supplementary material to this paper can be obtained by using the Springer LINK server located at http://dx.doi.org/10.1007/s10142-002-0046-6.

Blotting, Northern↗

Insertion-deletion polymorphisms in 3' regions of maize genes occur frequently and can be used as highly informative genetic markers.

Single-nucleotide polymorphisms (SNPs) are the most frequent variations in the genome of any organism. SNP discovery approaches such as resequencing or data mining enable the identification of insertion deletion (indel) polymorphisms. These indels can be treated as biallelic markers and can be utilized for genetic mapping and diagnostics. In this study 655 indels have been identified by resequencing 502 maize (Zea mays) loci across 8 maize inbreds (selected for their high allelic variation). Of these 502 loci, 433 were polymorphic, with indels identified in 215 loci. Of the 655 indels identified, single-nucleotide indels accounted for more than half (54.8%) followed by two- and three-nucleotide indels. A high frequency of 6-base (3.4%) and 8-base (2.3%) indels were also observed. When analysis is restricted to the B73 and Mol7 genotypes, 53% of the loci analyzed contained indels, with 42% having an amplicon size difference. Three novel miniature inverted-repeat transposable element (MITE)-like sequences were identified as insertions near genes. The utility of indels as genetic markers was demonstrated by using indel polymorphisms to map 22 loci in a B73 x Mo17 recombinant inbred population. This paper clearly demonstrates that the resequencing of 3' EST sequence and the discovery and mapping of indel markers will position corresponding expressed genes on the genetic map.

Chromosome Mapping↗