Data/hora: 15/06/2024 17:10:21

Biblioteca(s): 	Embrapa Café.	
Data corrente: 	18/11/2020	
Data da última atualização: 	18/11/2020	
Autoria: 	SANTOS, F. C.; ROSA, S. D. V. F. da; GROTEWOLD, E.; PADILHA, L.; MUKUNDI, E.	
Afiliação: 	The Ohio State University; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; The Ohio State University; LILIAN PADILHA, CNPCa; The Ohio State University.	
Título: 	Global analysis of differential expression in Coffea arabica seeds during the processing and drying.	
Ano de publicação: 	2014	
Fonte/Imprenta: 	In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 25., 2014, Armenia. Leveraging knowledge for coffee sustainability: proceedings. Armenia: Association for Science and Information on Coffee, 2014. p. 272-273.	
Idioma: 	Português	
Conteúdo: 	Coffee is one of the most important agricultural commodities and ensures the livelihood of more than 80 million people worldwide. The mode of coffee processing, whether wet or dry, determines the flavor characteristic and also the seed quality. Novel, high-throughput, deep- sequencing technologies are making an impact on genomic research by providing new strategies to analyze the functional complexity of transcriptomes. The RNA-Seq approach produces millions of short cDNA reads that are mapped to a reference genome to obtain a genome-scale transcriptional map, which consists of the transcriptional structure and the expression level for each gene. In this study we applied Illumina sequencing technology and the Venn diagram analysis for differential expression. Coffee seeds were processed by three different methods, dry, semi-dry or wet, and were dried under shade or dryer conditions. The samples were used to prepare a cDNA library for sequence analysis via Illumina (HiSeq 2000). After removal of low-quality reads, a total of 125,829,579 high-quality 50 bp reads were identified. The reads were assembled using Trinity program using default parameters. It was compared our data against ESTs Brazilian Coffee Genome data and Coffee Colombian data. As can be seen in the Venn diagram representation, we &#769;ve got more blast in ESTs Brazilian Coffee Genome data than in Coffee Colombian data, indicating an alignment of 20,509 common sequences between ESTs Brazilian Coffee Genome and ?Assembly de Novo? sequence (our data).	
Thesagro: 	Coffea Arábica; Processamento; Secagem; Semente.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/217966/1/PB239.pdf	
Registro original: 	Embrapa Café (CNPCa)	
Exemplares: 	CNPCa - (1473-1) - UPC - RA - DD -  -  -  - DIS