AutoMAT (completed)

About the project

The recent development of high-throughput sequencing technology has accelerated  genomic research tremendously, e.g. enabling large scale cataloging of sequence variations and understanding their biological consequences.

In this project we intend to use RAD-tag sequencing in combination with the most recent statistical outlier approaches to

  1. Characterize the genetic heterogeneity (i.e. the genome wide patterns of variation)
  2. Identify outliers (SNPs) which represent genomic regions that are key candidates for recent selection and adaptation - across the geographical distribution of the West African yellowfin tuna. 
  3. Define a subset of the most profound outliers (i.e. diagnostic SNPs) 
  4. Design a yellow fin tuna SNP-chip using the Sequenom Mass ARAY platform, which will be tested (as a proof of principle) on a selected number of populations/individuals.

Financing

The project is financed by the Johann Heinrich von Th√ľnen-Institute

Cooperation

CEES is a subcontractor for theTh√ľnen-Institute.

Period

01.11.2013 - 31.12.2014

Published July 8, 2014 9:05 AM - Last modified June 20, 2017 1:01 PM