Vilela, Ernie; Seal, Isaac; Ogden, Heath T. (Utah Valley University)
Faculty Advisor: Ogden, Thomas (College of Science, Biology Deapartment)
We are interested in using transcriptome data, generated with next generation sequencing technology, to investigate the evolutionary trends of specific genes and their associated expression in mayflies. We generated an additional transcriptome for mayflies. RNA was extracted from a freshly frozen specimen preserved in RNAlater® (Ambion) using TRIzol® Reagent (Ambion) and cDNA libraries were prepared from mRNA. RNA-seq data was generated using a paired-end protocol (PE100) on Illumina HiSeq2000 with an expected 60 million reads. In order to effectively investigate the large amount of sequences, we created a bioinformatics workflow to analyze the newly generated transcriptome data along with previous data for mayflies. The workflow consists of these main steps: Trinity (Assemblying the transcripts), Transdecoder (Identifying candidate coding regions), HMMER (Searching biological sequence databases for homologous sequences). We tested the workflow looking at opsin genes.