David W Galbraith

David W Galbraith

Professor, Plant Science
Professor, Biomedical Engineering
Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 621-9153

Work Summary

I examine the molecular functions of the different cells found in the tissues and organs of plants and animals and how they combine these functions to optimize the health and vigor of the organism.

Research Interest

David Galbraith obtained undergraduate and graduate degrees in Biochemistry from the University of Cambridge, and postdoctoral training as a NATO Fellow at Stanford University. His first academic appointment was at the University of Nebraska Lincoln, and he became Professor of Plant Sciences at the University of Arizona in 1989. His research has focused on the development of instrumentation and methods for the analysis of biological cells, organs, and systems. He is internationally recognized as a pioneer in the development and use of flow cytometry and sorting in plants, developing widely-used methods for the analysis of genome size and cell cycle status, and for the production of somatic hybrids. He also was among the first to develop methods for the analysis of gene expression within specific cell types, using markers based on Fluorescent Protein expression for flow sorting these cells, and microarray platforms for analysis of their transcriptional activities and protein complements. Current interests include applications of highly parallel platforms for transcript and protein profiling of minimal sample sizes, and for analysis of genetic and epigenetic mechanisms that regulate gene expression during normal development and in diseased states, specifically pancreatic cancer. He is also funded to study factors involved in the regulation of bud dormancy in Vitis vinifera, and has interests in biodiversity and improvement of third-world agriculture. He has published more than 180 scholarly research articles, holds several patents, was elected a Fellow of the American Association for Advancement of Science in 2002, and serves on the editorial board of Cytometry Part A. He is widely sought as a speaker, having presented over 360 seminars in academic, industrial and conference settings. He was elected Secretary of the International Society for Advancement of Cytometry in 2016. Keywords: Plant and Animal Cellular Engineering; Biological Instrumentation; Flow Cytometry and Sorting

Publications

Krishnan, A., Sweeney, M., Vasic, J., Galbraith, D., & Vasic, B. (2011). Barcodes for DNA sequencing with guaranteed error correction capability. Electronics Letters, 47, 236-237.
Edwards, J. D., Janda, J., Sweeney, M. T., Gaikwad, A. B., Liu, B., Leung, H., & Galbraith, D. W. (2008). Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice. Plant Methods, 4(1).

PMID: 18510771;PMCID: PMC2435114;Abstract:

Background. We report the development of a microarray platform for rapid and cost-effective genetic mapping, and its evaluation using rice as a model. In contrast to methods employing whole-genome tiling microarrays for genotyping, our method is based on low-cost spotted microarray production, focusing only on known polymorphic features. Results. We have produced a genotyping microarray for rice, comprising 880 single feature polymorphism (SFP) elements derived from insertions/deletions identified by aligning genomic sequences of the japonica cultivar Nipponbare and the indica cultivar 93-11. The SFPs were experimentally verified by hybridization with labeled genomic DNA prepared from the two cultivars. Using the genotyping microarrays, we found high levels of polymorphism across diverse rice accessions, and were able to classify all five subpopulations of rice with high bootstrap support. The microarrays were used for mapping of a gene conferring resistance to Magnaporthe grisea, the causative organism of rice blast disease, by quantitative genotyping of samples from a recombinant inbred line population pooled by phenotype. Conclusion. We anticipate this microarray-based genotyping platform, based on its low cost-per-sample, to be particularly useful in applications requiring whole-genome molecular marker coverage across large numbers of individuals. © 2008 Edwards et al; licensee BioMed Central Ltd.

Galbraith, D., & Galbraith, D. W. (2006). DNA microarray analyses in higher plants. Omics : a journal of integrative biology, 10(4).

DNA microarrays were originally devised and described as a convenient technology for the global analysis of plant gene expression. Over the past decade, their use has expanded enormously to cover all kingdoms of living organisms. At the same time, the scope of applications of microarrays has increased beyond expression analyses, with plant genomics playing a leadership role in the on-going development of this technology. As the field has matured, the rate-limiting step has moved from that of the technical process of data generation to that of data analysis. We currently face major problems in dealing with the accumulating datasets, not simply with respect to how to archive, access, and process the huge amounts of data that have been and are being produced, but also in determining the relative quality of the different datasets. A major recognized concern is the appropriate use of statistical design in microarray experiments, without which the datasets are rendered useless. A vigorous area of current research involves the development of novel statistical tools specifically for microarray experiments. This article describes, in a necessarily selective manner, the types of platforms currently employed in microarray research and provides an overview of recent activities using these platforms in plant biology.

Galbraith, D. (2012). Flow Cytometry and Cell Sorting: the Next Generation: Introduction. Methods, 57, 249-250.
Wang, H., Miyazaki, S., Kawai, K., Deyholos, M., Galbraith, D. W., & Bohnert, H. J. (2003). Temporal progression of gene expression responses to salt shock in maize roots. Plant Molecular Biology, 52(4), 873-891.

PMID: 13677474;Abstract:

Using a cDNA microarray containing 7943 ESTs, the behavior of the maize root transcriptome has been monitored in a time course for 72 h after imposition of salinity stress (150 mM NaCl). Under these conditions, root sodium amounts increased faster than in leaves, and root potassium decreased significantly. Although the overall free amino acid concentration was not affected, amino acid composition was changed with proline and asparagine increasing. Microarray analysis identified 916 ESTs representing genes whose steady-state RNA levels were significantly altered at various time points, corresponding to 11% of the ESTs printed. The response of the transcriptome to sub-lethal salt stress was rapid and transient, leading to a burst of changes at the three-hour time point. The salt-regulated ESTs represented 472 tentatively unique genes (TUGs), which, based on functional category analysis, are involved in a broad range of cellular and biochemical activities, prominent amongst which were transport and signal transduction pathways. Clustering of regulated transcripts based on the timing and duration of changes suggests a structured succession of induction and repression for salt responsive genes in multiple signal and response cascades. Within this framework, 16 signaling molecules, including six protein kinases, two protein phosphatases and eight transcription factors, were regulated with distinct expression patterns by high salinity.