Title: Generation and analysis of expressed sequence tags(ESTs) for marker development in yam (Dioscores alata L.) Authors
|Buyyarapu, Ramesh -|
|Kottapalli, Rao -|
|Sartie, Alieu -|
|Moahmed, Ali -|
|Asiedu, Robert -|
|Mignouna, Hodeba -|
|Sayre, Brian -|
Submitted to: Biomed Central (BMC) Genomics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: February 2, 2011
Publication Date: February 9, 2011
Citation: Narina, S.S., Buyyarapu, R., Kottapalli, R., Sartie, A.M., Moahmed, A., Asiedu, R., Mignouna, H., Sayre, B., Scheffler, B.E. 2011. Generation and analysis of expressed sequence tags(ESTs) for marker development in yam (Dioscores alata L.). Biomed Central (BMC) Genomics. 1471-2164. Interpretive Summary: Yam is the second most important root/tuber crop in Africa after cassava, and is extremely important to food security in regions of southeast Asia and the Pacific, as well as the tropical Americas. Anthracnose (Colletotrichum gloeosporioides) is a major limiting factor in the production of yam worldwide. Availability of high quality sequence information is necessary for designing molecular markers associated with resistance. However, very limited sequence information pertaining to yam is available at public genome databases. Therefore, this collaborative project was developed for genetic improvement and germplasm characterization of yams using molecular markers. The current investigation is focused on studying gene expression, by large scale generation of ex[ressed sequence tags (ESTs), from one susceptible (TDa 95-310) and two tolerant yam genotypes (TDa 87/01091, TDa 95/00328) challenged with the fungus Anthracnose.
Technical Abstract: A total of 44,757 EST sequences , 1705 EST-SSR and 104 SNP markers were generated from the cDNA libraries of the resistant and susceptible genotypes. We have developed a comprehensive annotated transcriptome data set in yam to enrich the EST information in public databases. These EST resources provide the basis for future microarray development, marker validation, genetic linkage mapping and QTL analysis in Dioscorea species.