C

Cheryl L. Granger

Iowa State University

Publishes on Plant Molecular Biology Research, Microtubule and mitosis dynamics, Plant Reproductive Biology. 14 papers and 1.6k citations.

14Publications
1.6kTotal Citations

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Top publicationsby citations

A <i>GFP–MAP4</i> Reporter Gene for Visualizing Cortical Microtubule Rearrangements in Living Epidermal Cells
Jan Marc, Cheryl L. Granger, Jennifer Brincat et al.|The Plant Cell|1998
Cited by 390Open Access

Microtubules influence morphogenesis by forming distinct geometrical arrays in the cell cortex, which in turn affect the deposition of cellulose microfibrils. Although many chemical and physical factors affect microtubule orientation, it is unclear how cortical microtubules in elongating cells maintain their ordered transverse arrays and how they reorganize into new geometries. To visualize these reorientations in living cells, we constructed a microtubule reporter gene by fusing the microtubule binding domain of the mammalian microtubule-associated protein 4 (MAP4) gene with the green fluorescent protein (GFP) gene, and transient expression of the recombinant protein in epidermal cells of fava bean was induced. The reporter protein decorates microtubules in vivo and binds to microtubules in vitro. Confocal microscopy and time-course analysis of labeled cortical arrays along the outer epidermal wall revealed the lengthening, shortening, and movement of microtubules; localized microtubule reorientations; and global microtubule reorganizations. The global microtubule orientation in some cells fluctuates about the transverse axis and may be a result of a cyclic self-correcting mechanism to maintain a net transverse orientation during cellular elongation.

Mining EST databases to resolve evolutionary events in major crop species
Cited by 345

Using plant EST collections, we obtained 1392 potential gene duplicates across 8 plant species: Zea mays, Oryza sativa, Sorghum bicolor, Hordeum vulgare, Solanum tuberosum, Lycopersicon esculentum, Medicago truncatula, and Glycine max. We estimated the synonymous and nonsynonymous distances between each gene pair and identified two to three mixtures of normal distributions corresponding to one to three rounds of genome duplication in each species. Within the Poaceae, we found a conserved duplication event among all four species that occurred approximately 50-60 million years ago (Mya); an event that probably occurred before the major radiation of the grasses. In the Solanaceae, we found evidence for a conserved duplication event approximately 50-52 Mya. A duplication in soybean occurred approximately 44 Mya and a duplication in Medicago about 58 Mya. Comparing synonymous and nonsynonymous distances allowed us to determine that most duplicate gene pairs are under purifying, negative selection. We calculated Pearson's correlation coefficients to provide us with a measure of how gene expression patterns have changed between duplicate pairs, and compared this across evolutionary distances. This analysis showed that some duplicates seemed to retain expression patterns between pairs, whereas others showed uncorrelated expression.

A compilation of soybean ESTs: generation and analysis
Cited by 139

Whole-genome sequencing is fundamental to understanding the genetic composition of an organism. Given the size and complexity of the soybean genome, an alternative approach is targeted random-gene sequencing, which provides an immediate and productive method of gene discovery. In this study, more than 120000 soybean expressed sequence tags (ESTs) generated from more than 50 cDNA libraries were evaluated. These ESTs coalesced into 16928 contigs and 17336 singletons. On average, each contig was composed of 6 ESTs and spanned 788 bases. The average sequence length submitted to dbEST was 414 bases. Using only those libraries generating more than 800 ESTs each and only those contigs with 10 or more ESTs each, correlated patterns of gene expression among libraries and genes were discerned. Two-dimensional qualitative representations of contig and library similarities were generated based on expression profiles. Genes with similar expression patterns and, potentially, similar functions were identified. These studies provide a rich source of publicly available gene sequences as well as valuable insight into the structure, function, and evolution of a model crop legume genome.