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Title: Association mapping of yield candidate gene homologs in a diverse collection of pea (Pisum sativum L.) lines

item MURRAY, SARAH - Plant And Food Research
item FALLOON, LINDA - Plant And Food Research
item FREW, TONYA - Plant And Food Research
item Coyne, Clarice - Clare
item BUTLER, RUTH - Plant And Food Research
item TIMMERMA-VAUGHN, GAIL - Plant And Food Research

Submitted to: Meeting Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 7/29/2009
Publication Date: 8/30/2009
Citation: Murray, S., Falloon, L., Frew, T., Coyne, C.J., Butler, R., Timmerma-Vaughn, G. 2009. Association mapping of yield candidate gene homologs in a diverse collection of pea (Pisum sativum L.) lines. Meeting Proceedings. 19th Annual queenstown Molecular Biology Meetings 30 Aug-1st Sept., 2009.

Interpretive Summary: n/a

Technical Abstract: Association mapping, based on linkage disequilibrium (LD), is used increasingly to describe associations between allelic variation and phenotype. Yield is a key economic trait for most field crops, including pea (Pisum sativum L.). Recent reports in plant systems have identified candidate genes for yield and yield-related traits. These include genes for ADP glucose pyrophosphorylase, APETALA2 (AP2), cytokinin receptor family proteins, cytokinin oxidase family proteins and GA 3-oxidase (GA3ox) which encodes Mendel’s dwarfing gene Le. Using association mapping, we have explored the possible role of pea homologs of these genes in determining yield and yield-related traits. The plant material used was a collection of diverse pea accessions from the USDA “Pea Core”. Yield and yield-related traits were measured in 3-5 environments in replicated trials. Population substructure (Q) and relative kinship (K) were estimated based on genotypes at loci distributed throughout the pea genome. Allelic variation in the five candidate genes was determined by PCR sequencing. Associations between candidate gene polymorphisms and traits were estimated using Q and Q+K models implemented in TASSEL software. As a result, associations were identified involving three of the candidate gene homologs: PsAP2, PsGA3ox (Le) and a cytokinin receptor family gene.