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Darren J Morrow

Publications and source records attributed to Darren J Morrow.

3 recordsLinked to original sources

Comparative profiling of the sense and antisense transcriptome of maize lines.

BACKGROUND: There are thousands of maize lines with distinctive normal as well as mutant phenotypes. To determine the validity of comparisons among mutants in different lines, we first address the question of how similar the transcriptomes are in three standard lines at four developmental stages. RESULTS: Four tissues (leaves, 1 mm anthers, 1.5 mm anthers, pollen) from one hybrid and one inbred maize line were hybridized with the W23 inbred on Agilent oligonucleotide microarrays with 21,000 elements. Tissue-specific gene expression patterns were documented, with leaves having the most tissue-specific transcripts. Haploid pollen expresses about half as many genes as the other samples. High overlap of gene expression was found between leaves and anthers. Anther and pollen transcript expression showed high conservation among the three lines while leaves had more divergence. Antisense transcripts represented about 6 to 14 percent of total transcriptome by tissue type but were similar across lines. Gene Ontology (GO) annotations were assigned and tabulated. Enrichment in GO terms related to cell-cycle functions was found for the identified antisense transcripts. Microarray results were validated via quantitative real-time PCR and by hybridization to a second oligonucleotide microarray platform. CONCLUSION: Despite high polymorphisms and structural differences among maize inbred lines, the transcriptomes of the three lines displayed remarkable similarities, especially in both reproductive samples (anther and pollen). We also identified potential stage markers for maize anther development. A large number of antisense transcripts were detected and implicated in important biological functions given the enrichment of particular GO classes.

Expressed Sequence Tags↗

Genome-wide mutagenesis of Zea mays L. using RescueMu transposons.

Derived from the maize Mu1 transposon, RescueMu provides strategies for maize gene discovery and mutant phenotypic analysis. 9.92 Mb of gene-enriched sequences next to RescueMu insertion sites were co-assembled with expressed sequence tags and analyzed. Multiple plasmid recoveries identified probable germinal insertions and screening of RescueMu plasmid libraries identified plants containing probable germinal insertions. Although frequently recovered parental insertions and insertion hotspots reduce the efficiency of gene discovery per plasmid, RescueMu targets a large variety of genes and produces knockout mutants.

DNA Mutational Analysis↗

Progress in maize gene discovery: a project update.

The Maize Gene Discovery Project (MGDP) is a 5-year NSF-funded plant genome initiative that began in 1998. The MGDP collaboration involves researchers at six universities from diverse disciplines with the common goal of discovering new maize genes and developing tools for the phenotypic characterization of maize mutants. The project utilizes several approaches: EST sequencing, cDNA microarray production, and the discovery of gene function and genomic sequence through the use of a recombinant Mu1 transposon ( RescueMu). Current achievements of the MGDP (NSF 98-72657) include the sequencing of over 120,000 maize ESTs from diverse cDNA libraries, and over 70,000 RescueMu flanking sequences, as well as the cataloguing of mutant seed and cob phenotypes of 23,000 maize ears, 6,200 families of maize seedlings, and 4,000 families of adult maize plants carrying MuDR/Mu and RescueMu insertion alleles. A consolidation of over 24,000 unique sequences from 19 libraries has been made into the first two of the planned set of four "Unigene" microarray slides. In addition, slides for four EST libraries have been produced. These microarray slides, EST clones, library plates of immortalized RescueMu bacterial cultures, and seed are all available online (http://www.zmdb.iastate.edu). The ZmDB website posts periodic assemblies of all maize EST and genomic sequences available from GenBank. ZmDB is also a portal for sequence analysis software designed to aid in gene discovery: MuSeqBox, GeneSeqer, and SplicePredictor. In addition, ZmDB contains links to other plant and genetics websites.

Alleles↗