Transcriptome discovery in non-model wild fish species for the development of quantitative transcript abundance assays

Cassidy M. Hahn, Luke R. Iwanowicz, Robert S. Cornman, Patricia M. Mazik, Vicki S. Blazer

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Environmental studies increasingly identify the presence of both contaminants of emerging concern (CECs) and legacy contaminants in aquatic environments; however, the biological effects of these compounds on resident fishes remain largely unknown. High throughput methodologies were employed to establish partial transcriptomes for three wild-caught, non-model fish species; smallmouth bass (Micropterus dolomieu), white sucker (Catostomus commersonii) and brown bullhead (Ameiurus nebulosus). Sequences from these transcriptome databases were utilized in the development of a custom nCounter CodeSet that allowed for direct multiplexed measurement of 50 transcript abundance endpoints in liver tissue. Sequence information was also utilized in the development of quantitative real-time PCR (qPCR) primers. Cross-species hybridization allowed the smallmouth bass nCounter CodeSet to be used for quantitative transcript abundance analysis of an additional non-model species, largemouth bass (Micropterus salmoides). We validated the nCounter analysis data system with qPCR for a subset of genes and confirmed concordant results. Changes in transcript abundance biomarkers between sexes and seasons were evaluated to provide baseline data on transcript modulation for each species of interest.

Original languageEnglish (US)
Pages (from-to)27-40
Number of pages14
JournalComparative Biochemistry and Physiology - Part D: Genomics and Proteomics
StatePublished - Dec 1 2016

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Physiology
  • Molecular Biology
  • Genetics


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