Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.

Detalhes bibliográficos
Autor(a) principal: CARDOSO, D. C.
Data de Publicação: 2014
Outros Autores: MARTINATI, J. C., GIACHETTO, P. F., VIDAL, R. O., CARAZZOLLE, M. F., PADILHA, L., GUERREIRO-FILHO, O., MALUF, M. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1007801
Resumo: A successful development of herbivorous insects into plant tissues depends on coordination of metabolic processes. Plants have evolved complex mechanisms to recognize such attacks, and to trigger a defense response. To understand the transcriptional basis of this response, we compare gene expression profiles of two coffee genotypes, susceptible and resistant to leaf miner (Leucoptera coffella). A total of 22000 EST sequences from the Coffee Genome Database were selected for a microarray analysis. Fluorescence probes were synthesized using mRNA from the infested and non-infested coffee plants. Array hybridization, scanning and data normalization were performed using Nimble Scan® e ArrayStar® platforms. Genes with foldchange values +/-2 were considered differentially expressed. A validation of 18 differentially expressed genes was performed in infected plants using qRT-PCR approach.
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spelling Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.MicroarranjoPlant defenseCaféCoffea ArábicaLeafminersGenesMicroarray technologyA successful development of herbivorous insects into plant tissues depends on coordination of metabolic processes. Plants have evolved complex mechanisms to recognize such attacks, and to trigger a defense response. To understand the transcriptional basis of this response, we compare gene expression profiles of two coffee genotypes, susceptible and resistant to leaf miner (Leucoptera coffella). A total of 22000 EST sequences from the Coffee Genome Database were selected for a microarray analysis. Fluorescence probes were synthesized using mRNA from the infested and non-infested coffee plants. Array hybridization, scanning and data normalization were performed using Nimble Scan® e ArrayStar® platforms. Genes with foldchange values +/-2 were considered differentially expressed. A validation of 18 differentially expressed genes was performed in infected plants using qRT-PCR approach.DANIELLE C. CARDOSO, IAC; JULIANA C MARTINATI, IAC; POLIANA FERNANDA GIACHETTO, CNPTIA; RAMON O. VIDAL; MARCELO F. CARAZZOLLE; LILIAN PADILHA, SAPC; OLIVEIRO GUERREIRO-FILHO, IAC; MIRIAN PEREZ MALUF, SAPC.CARDOSO, D. C.MARTINATI, J. C.GIACHETTO, P. F.VIDAL, R. O.CARAZZOLLE, M. F.PADILHA, L.GUERREIRO-FILHO, O.MALUF, M. P.2015-02-05T11:11:11Z2015-02-05T11:11:11Z2015-02-0520142015-02-06T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBMC Genomics, London, v. 15, p. 1-20, 2014.http://www.alice.cnptia.embrapa.br/alice/handle/doc/100780110.1186/1471-2164-15-66enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T01:47:17Zoai:www.alice.cnptia.embrapa.br:doc/1007801Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T01:47:17falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T01:47:17Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
title Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
spellingShingle Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
CARDOSO, D. C.
Microarranjo
Plant defense
Café
Coffea Arábica
Leafminers
Genes
Microarray technology
title_short Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
title_full Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
title_fullStr Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
title_full_unstemmed Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
title_sort Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
author CARDOSO, D. C.
author_facet CARDOSO, D. C.
MARTINATI, J. C.
GIACHETTO, P. F.
VIDAL, R. O.
CARAZZOLLE, M. F.
PADILHA, L.
GUERREIRO-FILHO, O.
MALUF, M. P.
author_role author
author2 MARTINATI, J. C.
GIACHETTO, P. F.
VIDAL, R. O.
CARAZZOLLE, M. F.
PADILHA, L.
GUERREIRO-FILHO, O.
MALUF, M. P.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DANIELLE C. CARDOSO, IAC; JULIANA C MARTINATI, IAC; POLIANA FERNANDA GIACHETTO, CNPTIA; RAMON O. VIDAL; MARCELO F. CARAZZOLLE; LILIAN PADILHA, SAPC; OLIVEIRO GUERREIRO-FILHO, IAC; MIRIAN PEREZ MALUF, SAPC.
dc.contributor.author.fl_str_mv CARDOSO, D. C.
MARTINATI, J. C.
GIACHETTO, P. F.
VIDAL, R. O.
CARAZZOLLE, M. F.
PADILHA, L.
GUERREIRO-FILHO, O.
MALUF, M. P.
dc.subject.por.fl_str_mv Microarranjo
Plant defense
Café
Coffea Arábica
Leafminers
Genes
Microarray technology
topic Microarranjo
Plant defense
Café
Coffea Arábica
Leafminers
Genes
Microarray technology
description A successful development of herbivorous insects into plant tissues depends on coordination of metabolic processes. Plants have evolved complex mechanisms to recognize such attacks, and to trigger a defense response. To understand the transcriptional basis of this response, we compare gene expression profiles of two coffee genotypes, susceptible and resistant to leaf miner (Leucoptera coffella). A total of 22000 EST sequences from the Coffee Genome Database were selected for a microarray analysis. Fluorescence probes were synthesized using mRNA from the infested and non-infested coffee plants. Array hybridization, scanning and data normalization were performed using Nimble Scan® e ArrayStar® platforms. Genes with foldchange values +/-2 were considered differentially expressed. A validation of 18 differentially expressed genes was performed in infected plants using qRT-PCR approach.
publishDate 2014
dc.date.none.fl_str_mv 2014
2015-02-05T11:11:11Z
2015-02-05T11:11:11Z
2015-02-05
2015-02-06T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv BMC Genomics, London, v. 15, p. 1-20, 2014.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1007801
10.1186/1471-2164-15-66
identifier_str_mv BMC Genomics, London, v. 15, p. 1-20, 2014.
10.1186/1471-2164-15-66
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1007801
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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