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| 4. |  | ROSA, S. D. V. F. da; COELHO, S. V. B; FIGUEIREDO, M. A. Avanços da pesquisa em armazenamento de sementes de café em temperaturas subzero. In: CONGRESSO BRASILEIRO DE PESQUISAS CAFEEIRAS, 42., 2016, Serra Negra, SP. Produzir mais café, com economia, só com boa tecnologia: trabalhos apresentados. Varginha: Fundação Procafé, 2016. 466 p.| Biblioteca(s): Embrapa Café. |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
18/11/2020 |
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Data da última atualização: |
18/11/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SANTOS, F. C.; ROSA, S. D. V. F. da; GROTEWOLD, E.; PADILHA, L.; MUKUNDI, E. |
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Afiliação: |
The Ohio State University; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; The Ohio State University; LILIAN PADILHA, CNPCa; The Ohio State University. |
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Título: |
Global analysis of differential expression in Coffea arabica seeds during the processing and drying. |
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Ano de publicação: |
2014 |
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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. |
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Idioma: |
Português |
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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 ́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). MenosCoffee 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 ́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 ... Mostrar Tudo |
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Thesagro: |
Coffea Arábica; Processamento; Secagem; Semente. |
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Categoria do assunto: |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217966/1/PB239.pdf
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Marc: |
LEADER 02309nam a2200205 a 4500
001 2126788
005 2020-11-18
008 2014 bl uuuu u00u1 u #d
100 1 $aSANTOS, F. C.
245 $aGlobal analysis of differential expression in Coffea arabica seeds during the processing and drying.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 25., 2014, Armenia. Leveraging knowledge for coffee sustainability: proceedings. Armenia: Association for Science and Information on Coffee, 2014. p. 272-273.$c2014
520 $aCoffee 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 ́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).
650 $aCoffea Arábica
650 $aProcessamento
650 $aSecagem
650 $aSemente
700 1 $aROSA, S. D. V. F. da
700 1 $aGROTEWOLD, E.
700 1 $aPADILHA, L.
700 1 $aMUKUNDI, E.
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Registro original: |
Embrapa Café (CNPCa) |
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