Transcriptomic analysis using high-throughput sequencing and DNA microarrays

Graduation date: 2012Access restricted to the OSU Community at author's request from Oct. 5, 2011 - April 5, 2012.Transcriptomics and gene expression profiling enables the elucidation of the genetic response of an organism to various environmental cues. Transcriptomics enables the deciphering of differences between two closely related organisms to the same environment and in contrast, enables the elucidation of genetic responses of the same organism to different environmental cues. Two major methods are utilized for the study of transcriptomes, high-throughput sequencing and microarray analysis. High-throughput sequencing technologies such as the Illumina platform are relatively new and protocols must be developed for the analyses of transcriptomes (RNA-sequencing). A RNA-seq protocol was developed and refined for the Illumina sequencing platform. This protocol was then utilized for the de novo sequencing of the steelhead salmon transcriptome. Hatchery steelhead exhibit a reduced fitness compared to wild steelhead that has been shown to be genetically based. Consequently, the steelhead transcriptome was assembled, annotated, and used to identify gene expression differences between hatchery and wild fish. We uncovered many differentially expressed genes involved in metabolic processes and growth and development. This work has created a better understanding of the genetic differences between hatchery and wild steelhead salmon. \ud Brachypodium distachyon is a monocot grass important as a model for cereal crops and potential biofuels feedstocks. To better understand the genetic response of this plant to different environmental cues, a comprehensive assessment of the transcriptomic response was conducted under a variety of conditions including diurnal/circadian light/dark/temperature environments and different abiotic stress conditions. Using a whole-genome tiling DNA microarray, we identified that the majority of transcripts in Brachypodium exhibit a daily rhythm in their abundance that is conserved between rice and Brachypodium. We also identified numerous cis-regulatory elements dictating these rhythmic expression patterns. We also identified the genetic response to abiotic stresses such as salinity, drought, cold, heat, and high light. We uncovered a core set of genes which responds to all stresses, indicating a core stress response. A large number of transcription factors were uncovered as potential nodes for regulating the abiotic stress response in Brachypodium. Moreover, promoter elements that drive specific responses to discrete abiotic stresses were uncovered. Altogether, the transcriptome analyses in this work furthers our understandings of how particular organisms respond to environmental cues and better elucidates the relationship between genes and the environment