Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.

Detalhes bibliográficos
Autor(a) principal: STOLF-MOREIRA, R.
Data de Publicação: 2011
Outros Autores: LEMOS, E. G. de M., ABDELNOOR, R. V., BENEVENTI, M. A., ROLLA, A. A. P., PEREIRA, S. dos S., OLIVEIRA, M. C. N. de, NEPOMUCENO, A. L., MARCELINO-GUIMARÃES, F. C.
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/882641
Resumo: The objective of this work was to validate, by quantitative PCR in real time (RT-qPCR), genes to be used as reference in studies of gene expression in soybean in drought-stressed trials. Four genes commonly used in soybean were evaluated: GmB-actin, GmGAPDH, GmLectin and GmRNAr18S. Total RNA was extracted from six samples: three from roots in a hydroponic system with different drought intensities (0, 25, 50, 75 and 100 minutes of water stress), and three from leaves of plants grown in sand with different soil moistures (15, 5 and 2.5% gravimetric humidity). The raw cycle threshold (Ct) data were analyzed, and the efficiency of each primer was calculated for an overall analysis of the Ct range among the different samples. The GeNorm application was used to evaluate the best reference gene, according to its stability. The GmGAPDH was the least stable gene, with the highest mean values of expression stability (M), and the most stable genes, with the lowest M values, were the GmB-actin and GmRNAr18S, when both root and leaves samples were tested. These genes can be used in RT-qPCR as reference gene for expression analysis.
id EMBR_13f91803f6d9ec464b773ec52330f434
oai_identifier_str oai:www.alice.cnptia.embrapa.br:doc/882641
network_acronym_str EMBR
network_name_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository_id_str 2154
spelling Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.Estabilidade de expressãoExpressão gênicaRT-qPCRSojaBiotecnologiaDeficiência hídricaSoybeansGene expressionPlant-water relationsAgricultural biotechnologyThe objective of this work was to validate, by quantitative PCR in real time (RT-qPCR), genes to be used as reference in studies of gene expression in soybean in drought-stressed trials. Four genes commonly used in soybean were evaluated: GmB-actin, GmGAPDH, GmLectin and GmRNAr18S. Total RNA was extracted from six samples: three from roots in a hydroponic system with different drought intensities (0, 25, 50, 75 and 100 minutes of water stress), and three from leaves of plants grown in sand with different soil moistures (15, 5 and 2.5% gravimetric humidity). The raw cycle threshold (Ct) data were analyzed, and the efficiency of each primer was calculated for an overall analysis of the Ct range among the different samples. The GeNorm application was used to evaluate the best reference gene, according to its stability. The GmGAPDH was the least stable gene, with the highest mean values of expression stability (M), and the most stable genes, with the lowest M values, were the GmB-actin and GmRNAr18S, when both root and leaves samples were tested. These genes can be used in RT-qPCR as reference gene for expression analysis.RENATA STOLF-MOREIRA, UNESP Jaboticabal; ELIANA GERTRUDES DE MACEDO LEMOS, UNESP Jaboticabal; RICARDO VILELA ABDELNOOR, CNPSO; MAGDA APARECIDA BENEVENTI, UFRGS; AMANDA ALVES PAIVA ROLLA, UEL; SELMA DOS SANTOS PEREIRA, UEL; MARIA CRISTINA NEVES DE OLIVEIRA, CNPSO; ALEXANDRE LIMA NEPOMUCENO, CNPSO; FRANCISMAR CORREA MARCELINO, CNPSO.STOLF-MOREIRA, R.LEMOS, E. G. de M.ABDELNOOR, R. V.BENEVENTI, M. A.ROLLA, A. A. P.PEREIRA, S. dos S.OLIVEIRA, M. C. N. deNEPOMUCENO, A. L.MARCELINO-GUIMARÃES, F. C.2011-04-10T11:11:11Z2011-04-10T11:11:11Z2011-03-2420112011-10-14T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 1, p. 58-65, jan. 2011.http://www.alice.cnptia.embrapa.br/alice/handle/doc/882641enginfo: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:EMBRAPA2017-08-15T21:35:56Zoai:www.alice.cnptia.embrapa.br:doc/882641Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-15T21:35:56falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-15T21:35:56Repositório 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 Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
title Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
spellingShingle Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
STOLF-MOREIRA, R.
Estabilidade de expressão
Expressão gênica
RT-qPCR
Soja
Biotecnologia
Deficiência hídrica
Soybeans
Gene expression
Plant-water relations
Agricultural biotechnology
title_short Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
title_full Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
title_fullStr Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
title_full_unstemmed Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
title_sort Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean.
author STOLF-MOREIRA, R.
author_facet STOLF-MOREIRA, R.
LEMOS, E. G. de M.
ABDELNOOR, R. V.
BENEVENTI, M. A.
ROLLA, A. A. P.
PEREIRA, S. dos S.
OLIVEIRA, M. C. N. de
NEPOMUCENO, A. L.
MARCELINO-GUIMARÃES, F. C.
author_role author
author2 LEMOS, E. G. de M.
ABDELNOOR, R. V.
BENEVENTI, M. A.
ROLLA, A. A. P.
PEREIRA, S. dos S.
OLIVEIRA, M. C. N. de
NEPOMUCENO, A. L.
MARCELINO-GUIMARÃES, F. C.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv RENATA STOLF-MOREIRA, UNESP Jaboticabal; ELIANA GERTRUDES DE MACEDO LEMOS, UNESP Jaboticabal; RICARDO VILELA ABDELNOOR, CNPSO; MAGDA APARECIDA BENEVENTI, UFRGS; AMANDA ALVES PAIVA ROLLA, UEL; SELMA DOS SANTOS PEREIRA, UEL; MARIA CRISTINA NEVES DE OLIVEIRA, CNPSO; ALEXANDRE LIMA NEPOMUCENO, CNPSO; FRANCISMAR CORREA MARCELINO, CNPSO.
dc.contributor.author.fl_str_mv STOLF-MOREIRA, R.
LEMOS, E. G. de M.
ABDELNOOR, R. V.
BENEVENTI, M. A.
ROLLA, A. A. P.
PEREIRA, S. dos S.
OLIVEIRA, M. C. N. de
NEPOMUCENO, A. L.
MARCELINO-GUIMARÃES, F. C.
dc.subject.por.fl_str_mv Estabilidade de expressão
Expressão gênica
RT-qPCR
Soja
Biotecnologia
Deficiência hídrica
Soybeans
Gene expression
Plant-water relations
Agricultural biotechnology
topic Estabilidade de expressão
Expressão gênica
RT-qPCR
Soja
Biotecnologia
Deficiência hídrica
Soybeans
Gene expression
Plant-water relations
Agricultural biotechnology
description The objective of this work was to validate, by quantitative PCR in real time (RT-qPCR), genes to be used as reference in studies of gene expression in soybean in drought-stressed trials. Four genes commonly used in soybean were evaluated: GmB-actin, GmGAPDH, GmLectin and GmRNAr18S. Total RNA was extracted from six samples: three from roots in a hydroponic system with different drought intensities (0, 25, 50, 75 and 100 minutes of water stress), and three from leaves of plants grown in sand with different soil moistures (15, 5 and 2.5% gravimetric humidity). The raw cycle threshold (Ct) data were analyzed, and the efficiency of each primer was calculated for an overall analysis of the Ct range among the different samples. The GeNorm application was used to evaluate the best reference gene, according to its stability. The GmGAPDH was the least stable gene, with the highest mean values of expression stability (M), and the most stable genes, with the lowest M values, were the GmB-actin and GmRNAr18S, when both root and leaves samples were tested. These genes can be used in RT-qPCR as reference gene for expression analysis.
publishDate 2011
dc.date.none.fl_str_mv 2011-04-10T11:11:11Z
2011-04-10T11:11:11Z
2011-03-24
2011
2011-10-14T11:11:11Z
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 Pesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 1, p. 58-65, jan. 2011.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/882641
identifier_str_mv Pesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 1, p. 58-65, jan. 2011.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/882641
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
_version_ 1794503328569229312