|HYMA, KATIE - Cornell University - New York|
|BARBA, PAOLA - Cornell University - New York|
|REISCH, BRUCE - Cornell University - New York|
|SUN, QI - Cornell University - New York|
|ACHARYA, CHARLOTTE - Cornell University - New York|
|MITCHELL, SHARON - Cornell University - New York|
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 3/17/2014
Publication Date: 3/17/2014
Citation: Hyma, K., Londo, J.P., Barba, P., Reisch, B., Cadle Davidson, L.E., Sun, Q., Acharya, C., Mitchell, S. 2014. Agricultural biodiversity in the post-genomics era. 2nd Annual World Congress of Biodiversity, Ecology and the Environment, Nanjing, China.
Technical Abstract: The toolkit available for assessing and utilizing biological diversity within agricultural systems is rapidly expanding. In particular, genome and transcriptome re-sequencing as well as genome complexity reduction techniques are gaining popularity as the cost of generating short read sequence data decreases. Genome complexity reduction can reduce problems associated with ascertainment bias typically encountered with other genotyping platforms, and has the advantage of being highly repeatable and scalable. Through the use of customized bioinformatics approaches, biodiversity can be assessed quickly and accurately in many systems. By utilizing these genomic scale data to combine population genomics analyses with molecular breeding approaches, breeding and conservation efforts can be accelerated and improved. Here we present an overview of some of the technologies and applications.