P371
P2EP: Plant Pathways Elucidation Project - Orthologous Clustering of Brassica oleracea RNASeq to Define Putative Genes in KEGG Pathways

Date: Monday, January 13, 2014
Room: Grand Exhibit Hall
Rob Reid , University of North Carolina Charlotte, Kannapolis, NC
Cory Brouwer , University of North Carolina at Charlotte, Kannapolis, NC
Jaime Sheridan , University of North Carolina at Charlotte, Charlotte, NC
Jessica Schlueter , University of North Carolina at Charlotte, Charlotte, NC
Samantha Case , North Carolina State University - Plant Pathways Elucidation Project, Kannapolis, NC
Kiristin Clement , Rowan-Cabarrus Community College, Kannapolis, NC
Shawn Chaffin , University of North Carolina at Charlotte, Concord, NC
Kevon Stanford , Johnson C. Smith University, Charlotte, NC
Allan Brown , NC State University, Kannapolis, NC
Lara Murphy , University at North Carolina at Charlotte, Charlotte, NC
Teams comprised of researchers from industry and academia joined forces with the UNC System and private partners to craft an expansive new transdisciplinary project initiative – the Plant Pathways Elucidation Project, or P2EP - launched on the new North Carolina Research Campus - NCRC (http://www.ncresearchcampus.net/). The primary goal of P2EP is to integrate student learning with cutting edge research in plant genomics as it relates to nutrition. This effort includes genome mapping , assembly and gene annotation in order to identify key components in nutritionally related pathways. Student scholars are involved in each step of the research and are relied on for manual gene annotation.

Here, we describe our initial clustering strategy for identifying putative genes involved in key plant pathways in Brassica Oleracea. Using RNASeq transcripts de novo assembled via Oases (Hiseq), KEGG gene sequences and annotated CDS sequences from a closely related Brassica Oleracea genome, we perform an all versus all comparison in protein space, followed by clustering based on similarity. Sequence clusters that contain KEGG sequences from a desired pathway are identified for further alignment and manual annotation. This process is 1 step in providing evidence for the manual annotation step in P2EP. This is combined automated approaches such as Maker (Cantarel, 2008) and ENSEMBL  which also identify putative genes. As students extract relevant genes of interest within the model pathways, they will rebuild the pathways, learning how to evaluate evidence to support annotations. More information is available at http://p2ep.org/.

Handouts
  • P2EP-orthoClustering-PAG2014-v1.pdf (4.8 MB)