| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Café. |
|
Data corrente: |
06/05/2019 |
|
Data da última atualização: |
06/05/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SANTOS, T. B. dos; SOARES, J. D. M.; LIMA, J. E.; SILVA, J. C.; IVAMOTO, S. T.; BABA, V. Y.; SOUZA, S. G. H.; LORENZETTI, A. P. R.; PASCHOAL, A. R.; MEDA, A. R.; NISHIYAMA JÚNIOR, M. Y.; OLIVEIRA, U. C. de; MOKOCHINSKI, J. B.; GUYOT, R.; JUNQUEIRA-DE-AZEVEDO, I. L. M.; FIGUEIR, A. V. O.; MAZZAFERA, P.; R. JÚNIO, O.; VIEIRA, L. G. E.; PEREIRA, L. F. P.; DOMINGUES, D. S. |
|
Afiliação: |
Tiago Benedito dos Santos, Universidade do Oeste Paulista; João D. M. Soares, Laboratório de Biotecnologia Vegetal, Instituto Agronômico do Paraná - IAPAR; Joni E. Lima, Departamento de Botânica/Instituto de Ciências Biológicas/Universidade Federal de Minas Gerais - UFMG; Juliana C. Silva, Programa de pós-graduação em Bioinformática/Universidade Tecnológica Federal do Paraná; Suzana T. Ivamoto, Departamento de Botânica/Instituto de Biociências de Rio Claro/Universidade Estadual Paulista; Viviane Y. Baba, Laboratório de Biotecnologia Vegetal, Instituto Agronômico do Paraná - IAPAR; Silvia G. H. Souza, Laboratório de Biologia Molecular/Universidade Paranaense; Alan P. R. Lorenzetti, Programa de Pós-graduação em Genética e Biologia Molecular/Universidade Estadual de Londrina - UEL; Alexandre R. Paschoal, Programa de pós-graduação em Bioinformática/Universidade Tecnológica Federal do Paraná; Anderson R. Meda, Laboratório de Biotecnologia Vegetal, Instituto Agronômico do Paraná - IAPAR; Milton Y. Nishiyama Júnior, Laboratório Especial de Toxinologia Aplicada/Instituto Butantan; Úrsula C. de Oliveira, Laboratório Especial de Toxinologia Aplicada/Instituto Butantan; João B. Mokochinski, Departamento de Biologia Vegetal, Instituto de Biologia/Universidade Estadual de Campinas; Romain Guyot, IRD, UMR IPME, COFFEEADAPT; Inácio L. M. Junqueira-de-Azevedo, Laboratório Especial de Toxinologia Aplicada/Instituto Butantan; Antônio V. O. Figueira, Centro de Energia Nuclear na Agricultura/Universidade de São Paulo - USP; Paulo Mazzafera, Programa de Pós-graduação em Genética e Biologia Molecular/Universidade Estadual de Londrina - UEL; Osvaldo R. Júnior, Life Sciences Core Facility - LaCTAD/Universidade Estadual de Campinas; Luiz G. E. Vieira, Universidade do Oeste Paulista; LUIZ FILIPE PROTASIO PEREIRA, CNPCa; Douglas S. Domingues, Departamento de Botânica/Instituto de Biociências de Rio Claro/Universidade Estadual Paulista. |
|
Título: |
An integrated analysis of mRNA and sRNA transcriptional profiles in Coffea arabica L. roots: insights on nitrogen starvation responses. |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
Functional & Integrative Genomics, v. 19, n. 1, p. 151-169, January, 2019 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Coffea arabica L. is an important agricultural commodity, accounting for 60% of traded coffee worldwide. Nitrogen (N) is a macronutrient that is usually limiting to plant yield; however, molecular mechanisms of plant acclimation to N limitation remain largely unknown in tropical woody crops. In this study, we investigated the transcriptome of coffee roots under N starvation, analyzing poly-A+ libraries and small RNAs. We also evaluated the concentration of selected amino acids and N-source preferences in roots. Ammonium was preferentially taken up over nitrate, and asparagine and glutamate were the most abundant amino acids observed in coffee roots.We obtained 34,654 assembled contigs by mRNA sequencing, and validated the transcriptional profile of 12 genes by RT-qPCR. Illumina small RNA sequencing yielded 8,524,332 non-redundant reads, resulting in the identification of 86 microRNA families targeting 253 genes. The transcriptional pattern of eight miRNA families was also validated. To our knowledge, this is the first catalog of differentially regulated amino acids, N sources, mRNAs, and sRNAs in Arabica coffee roots. |
|
Palavras-Chave: |
Differential gene expression; Nitrogen transport; RNA-seq. |
|
Thesaurus Nal: |
MicroRNA. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/196962/1/An-integrated-analysis-of-mRNA-transcriptional.pdf
|
|
Marc: |
LEADER 02379naa a2200409 a 4500
001 2108713
005 2019-05-06
008 2019 bl uuuu u00u1 u #d
100 1 $aSANTOS, T. B. dos
245 $aAn integrated analysis of mRNA and sRNA transcriptional profiles in Coffea arabica L. roots$binsights on nitrogen starvation responses.$h[electronic resource]
260 $c2019
520 $aCoffea arabica L. is an important agricultural commodity, accounting for 60% of traded coffee worldwide. Nitrogen (N) is a macronutrient that is usually limiting to plant yield; however, molecular mechanisms of plant acclimation to N limitation remain largely unknown in tropical woody crops. In this study, we investigated the transcriptome of coffee roots under N starvation, analyzing poly-A+ libraries and small RNAs. We also evaluated the concentration of selected amino acids and N-source preferences in roots. Ammonium was preferentially taken up over nitrate, and asparagine and glutamate were the most abundant amino acids observed in coffee roots.We obtained 34,654 assembled contigs by mRNA sequencing, and validated the transcriptional profile of 12 genes by RT-qPCR. Illumina small RNA sequencing yielded 8,524,332 non-redundant reads, resulting in the identification of 86 microRNA families targeting 253 genes. The transcriptional pattern of eight miRNA families was also validated. To our knowledge, this is the first catalog of differentially regulated amino acids, N sources, mRNAs, and sRNAs in Arabica coffee roots.
650 $aMicroRNA
653 $aDifferential gene expression
653 $aNitrogen transport
653 $aRNA-seq
700 1 $aSOARES, J. D. M.
700 1 $aLIMA, J. E.
700 1 $aSILVA, J. C.
700 1 $aIVAMOTO, S. T.
700 1 $aBABA, V. Y.
700 1 $aSOUZA, S. G. H.
700 1 $aLORENZETTI, A. P. R.
700 1 $aPASCHOAL, A. R.
700 1 $aMEDA, A. R.
700 1 $aNISHIYAMA JÚNIOR, M. Y.
700 1 $aOLIVEIRA, U. C. de
700 1 $aMOKOCHINSKI, J. B.
700 1 $aGUYOT, R.
700 1 $aJUNQUEIRA-DE-AZEVEDO, I. L. M.
700 1 $aFIGUEIR, A. V. O.
700 1 $aMAZZAFERA, P.
700 1 $aR. JÚNIO, O.
700 1 $aVIEIRA, L. G. E.
700 1 $aPEREIRA, L. F. P.
700 1 $aDOMINGUES, D. S.
773 $tFunctional & Integrative Genomics$gv. 19, n. 1, p. 151-169, January, 2019
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Instrumentação. |
|
Data corrente: |
05/04/2005 |
|
Data da última atualização: |
05/04/2005 |
|
Autoria: |
CRUVINEL, P. E.; NAIME, J. M. N.; BORGES, M.; MACEDO, A.; ZHANG, A. |
|
Título: |
Detection of beetle damage in forests by x-ray CT image processing. |
|
Ano de publicação: |
2003 |
|
Fonte/Imprenta: |
Revista árvore, Viçosa, v. 27, n. 5, p. 747-752, 2003. |
|
Idioma: |
Inglês |
|
Conteúdo: |
ABSTRACT -Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripenis, a species of beetle known in the United States as the "Asian Longhorrned beetle", which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time. |
|
Palavras-Chave: |
Árvores; Detecção de Injúrias; Florestas; Tomografia Computadorizada. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 01237naa a2200217 a 4500
001 1026290
005 2005-04-05
008 2003 bl --- 0-- u #d
100 1 $aCRUVINEL, P. E.
245 $aDetection of beetle damage in forests by x-ray CT image processing.
260 $c2003
520 $aABSTRACT -Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripenis, a species of beetle known in the United States as the "Asian Longhorrned beetle", which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time.
653 $aÁrvores
653 $aDetecção de Injúrias
653 $aFlorestas
653 $aTomografia Computadorizada
700 1 $aNAIME, J. M. N.
700 1 $aBORGES, M.
700 1 $aMACEDO, A.
700 1 $aZHANG, A.
773 $tRevista árvore, Viçosa$gv. 27, n. 5, p. 747-752, 2003.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Instrumentação (CNPDIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
