tailieunhanh - báo cáo khoa học: " An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora | BMC Plant Biology An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora Mondego et al. BioMed Central Mondego et al. BMC Plant Biology 2011 11 30 http 1471-2229 11 30 8 February 2011 Mondego et al. BMC Plant Biology 2011 11 30 http 1471-2229 11 30 BMC Plant Biology RESEARCH ARTICLE Open Access An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora 1Ỷ 24 2 2 Jorge MC Mondego Ramon O Vidal Marcelo F Carazzolle Eric K Tokuda Lucas P Parizzi 2 5 6 1 7 2 Gustavo GL Costa Luiz FP Pereira Alan C Andrade Carlos A Colombo Luiz GE Vieira Gongalo AG Pereira for Brazilian Coffee Genome Project Consortium Abstract Background Coffee is one of the world s most important crops it is consumed worldwide and plays a significant role in the economy of producing countries. Coffea arabica and C. canephora are responsible for 70 and 30 of commercial production respectively. C. arabica is an allotetraploid from a recent hybridization of the diploid species C. canephora and C. eugenioides. C. arabica has lower genetic diversity and results in a higher quality beverage than C. canephora. Research initiatives have been launched to produce genomic and transcriptomic data about Coffea spp. as a strategy to improve breeding efficiency. Results Assembling the expressed sequence tags ESTs of C. arabica and C. canephora produced by the Brazilian Coffee Genome Project and the Nestlé-Cornell Consortium revealed 32 007 clusters of C. arabica and 16 665 clusters of C. canephora. We detected different GC3 profiles between these species that are related to their genome structure and mating system. BLAST analysis revealed similarities between coffee and grape Vitis vinifera genes. Using KA KS analysis we identified coffee genes under purifying and positive selection. Protein domain and gene ontology .