IEDA
Project Information
Environmental Genomics in an Antarctic polychaete
Description/Abstract
Genome-enabled biology provides a foundation for understanding the genetic basis of organism-environment interactions. . The research project links gene expression, genome methylation, and metabolic rates to assess the mechanisms of environmental adaptation (temperature) across multiple generations in a polar, and closely related temperate, polychaete. By comparing these two species, the research will assess how a polar environment shapes responses to environmental stress. This work will produce: 1) a database of full transcriptome (gene specific) profiling data for the polar polychaete cultured at two temperatures; 2) the contribution of genome methylation to the suppression of gene transcription activities; 3) the linkage between shifts in mRNA pools and total cellular activities (as ATP consumption via respiration); 4) an assessment of the inheritance of patterns of gene expression and metabolic activities across three generations; and 5) a simple demographic model of the polar polychaete population dynamics under normal and 'global-warming' temperature scenarios. Broader impacts include two outreach activities. The first is a mentoring program, where African-American undergraduate students spend 1.5 years working on a research project with a UD faculty member (2 summers plus their senior academic year). The second is a children's display activity at UD?s School of Marine Science "Coast Day".
Personnel
Person Role
Marsh, Adam G. Investigator
Funding
Antarctic Organisms and Ecosystems Award # 0944557
AMD - DIF Record(s)
Data Management Plan
None in the Database
Datasets
Repository Title (link) Status
GenBank Environmental Genomics of an Antarctic Polychaete #SRP040946 exist
Publications
  1. Crowgey, E. L., Marsh, A. G., Robinson, K. G., Yeager, S. K., & Akins, R. E. (2018). Epigenetic machine learning: utilizing DNA methylation patterns to predict spastic cerebral palsy. BMC Bioinformatics, 19(1). (doi:10.1186/s12859-018-2224-0)
  2. Marsh, A. G., Cottrell, M. T., & Goldman, M. F. (2016). Epigenetic DNA Methylation Profiling with MSRE: A Quantitative NGS Approach Using a Parkinson’s Disease Test Case. Frontiers in Genetics, 7. (doi:10.3389/fgene.2016.00191)