|Thakare, D - UNIVERSITY OF KENTUCKY|
|Kumudini, S - UNIVERSITY OF KENTUCKY|
Submitted to: Plant and Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: October 2, 2008
Publication Date: January 10, 2009
Citation: Dinkins, R.D., Thakare, D., Kumudini, S. 2009. Expression Analysis of Flowering Time Genes in Soybean E1 Near Isogenic Lines. Plant and Animal Genome Conference. P363 : Poster: Legumes, Soybeans, Common Beans. Technical Abstract: Control of soybean flowering time is important for geographic adaptation, and maximizing yield. A series of genes (E genes) that condition time to flowering have been identified, however, these E genes have not been sequenced, nor is their mechanism of control of flowering clearly understood. The E genes are available as near isogenic lines (NILs) making them an excellent model system for studying the flowering pathway genes in soybean. To begin characterization of the effects of these genes at the molecular level, two E1 NILs were analyzed for plants grown in a growth chamber under short day (SD) and long day (LD) conditions. Plants were harvested every three hours over a 72 hour period starting at day 6 post planting. Preliminary data has indicated that the pre-inductive photoperiod-sensitive phase of the E1 NILs responsible for inducing flowering is perceived in the time period encompassed in the experiment. Under LD e1 NIL typically flowers in 30 days, while the E1 LD NILs flower in 40 days. RNA was isolated from three individual plants and RNA samples were pooled for each line each time period for cDNA synthesis. RT-PCR analysis was performed using primers synthesized to a number of putative flowering time genes based on homology of soybean EST sequences to Arabidopsis genes. Gene expression results for most of the primers were similar to that observed in Arabidopsis suggesting that these EST sequences correspond to the soybean flowering-time homologues. Analysis was also done for putative genes close the E1 locus based on the soybean genetic map and genome sequencing.