Submitted to: American Peanut Research and Education Society Abstracts
Publication Type: Abstract only
Publication Acceptance Date: 4/28/2006
Publication Date: 6/20/2006
Citation: Chen, H.P., Dang, P.M., Holbrook, Jr., C.C., Kvien, C., Guo, B. 2006. Peanut seed transcriptome: Construction of six peanut CDNA libraries from two peanut cultivars [abstract]. In: Proceedings of the American Peanut Research and Education Society Meeting, July 11-14, 2006, Savannah, GA. Interpretive Summary:
Technical Abstract: Genomic research can provide new tools and resources to revolutionarily enhance crop genetic improvement and production. However, genome research in peanut is far behind those in other crops, such as maize, soybean, wheat, and sorghum due to the shortage of essential genome infrastructure, tools, and resources. The peanut genome (2,800 Mb/1C) is large in comparison to the plant models, Arabidopsis (128 Mb), rice (420 Mb), Medicago (500 Mb), corn (2,500 Mb) and even soybean (1,100 Mb). Cultivated peanut is an allotetraploid (2n=4x=40). Because of the large genome and polyploidy, one of many challenges peanut crop faces is the improvement using genetic and genomic approaches. The objectives are to develop tools and resources and provide putative genes and sequence-based markers for peanut researchers. Six cDNA libraries from 3 seed stages (R5, R6 and R7) of two cultivars, Tifrunner (resistant to leaf spots and tomato spotted wilt virus) and GT-C20 (resistant to Aspergillus infection, bacterial wilt, and leaf rust) were constructed. We sequenced the 5’ ends of 22,944 clones, 12,864 from Tifrunner and 10,080 from the GT-C20, including 5,812 non-redundant sequences (contigs + singletons) (4,186 and 2,701, respectively). There are EST-derived simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) motifs identified and will be tested for polymorphism in cultivated peanuts. Sequence data analysis is still in progress, which will facilitate gene discovery, marker development and gene functional characterization. Our goal is to use these EST sequence data to identify genes encoding allergen proteins in these two genotypes and functional candidate genes for direct association with important traits such as resistant genes, and to develop DNA markers for genetic linkage map and marker-assisted breeding.