| Title | Expressed sequence tags (ESTs) and simple sequence repeat (SSR) markers from octoploid strawberry (Fragaria x ananassa) |
| Publication Type | Journal Article |
| Year of Publication | 2005 |
| Authors | Folta, K. M., M. Staton, P. J. Stewart, S. Jung, D. H. Bies, C. Jesdurai, and D. Main |
| Journal | BMC Plant Biol |
| Volume | 5 |
| Pagination | 12 |
| ISBN Number | 1471-2229 (Electronic)14 |
| Accession Number | 15985176 |
| Keywords | Chromosome Mapping Computational Biology *Expressed Sequence Tags Fragaria/*genetics Gene Library Genes, Plant/physiology Genetic Markers *Microsatellite Repeats Plants, Genetically Modified/*genetics *Polyploidy RNA, Plant/genetics Rosaceae/genetics Sequence Analysis, DNA Sequence Homology, Nucleic Acid |
| Abstract | BACKGROUND: Cultivated strawberry (Fragaria x ananassa) represents one of the most valued fruit crops in the United States. Despite its economic importance, the octoploid genome presents a formidable barrier to efficient study of genome structure and molecular mechanisms that underlie agriculturally-relevant traits. Many potentially fruitful research avenues, especially large-scale gene expression surveys and development of molecular genetic markers have been limited by a lack of sequence information in public databases. As a first step to remedy this discrepancy a cDNA library has been developed from salicylate-treated, whole-plant tissues and over 1800 expressed sequence tags (EST's) have been sequenced and analyzed. RESULTS: A putative unigene set of 1304 sequences--133 contigs and 1171 singlets--has been developed, and the transcripts have been functionally annotated. Homology searches indicate that 89.5% of sequences share significant similarity to known/putative proteins or Rosaceae ESTs. The ESTs have been functionally characterized and genes relevant to specific physiological processes of economic importance have been identified. A set of tools useful for SSR development and mapping is presented. CONCLUSION: Sequences derived from this effort may be used to speed gene discovery efforts in Fragaria and the Rosaceae in general and also open avenues of comparative mapping. This report represents a first step in expanding molecular-genetic analyses in strawberry and demonstrates how computational tools can be used to optimally mine a large body of useful information from a relatively small data set. |
| URL | http://www.ncbi.nlm.nih.gov/pubmed/15985176 |