Submitted to: Genbank
Publication Type: Germplasm Release
Publication Acceptance Date: 7/25/2007
Publication Date: 7/25/2007
Citation: Guo, B., Dang, P.M., Chen, X., Scully, B.T., Holbrook, Jr., C.C., Culbreath, A. 2007. Batch submission and release of 12,876 EST (expressed sequence tag) nucleotide sequences from peanut leaf tissues. GenBank, National Center for Biotechnology Information Accession No. ES751523-ES768453. Interpretive Summary:
Technical Abstract: In the southeastern US, tomato spotted wilt virus disease has become a major limiting factor for many peanut producers, while the control methods are limited. Both early (Cercospora arachidicola) and late (Cercosporidium personatum) leaf spot diseases are among the worst foliar diseases of the cultivated peanut. Leaf spot disease control in the US has depended mainly on routine applications of the fungicides, either on a calendar or advisory schedule. In the Georgia peanut production region alone, the estimated annual cost for fungicide control of leaf spot diseases and the loss from diseases exceeds $35 million. Improved host-plant resistance will be cost-effective and benefit peanut farmers. Peanut has a relatively large genome size (2800 Mb/1C). A database of ESTs (expressed sequence tags), the expressed portion of the peanut genome, will facilitate gene discovery, marker development, and gene functional characterization. We have randomly sequenced 17,376 expressed sequence tags (EST) from two cDNA libraries derived from peanut leaf tissues of two cultivated peanut genotypes, ‘Tifrunner’ (resistant to TSWV) and ‘GT-C20 (susceptible to TSWV). After removing vector sequences and discarding low quality sequences, a total of 14,432 high-quality EST sequences were generated. According to the MIPS, about 82.9% (5,717) of total unique sequences have no putative functions and the matched sequences can be sorted into fifteen categories, including 1.2% defense-related genes. This batch submission and release of 12,876 peanut leaf EST sequences to GenBank for public use could contribute considerable information to peanut functional genomics in novel gene discovery and marker development.