Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize

Autores
Costa, Joana; Marani, Mariela Mirta; Grazina, Liliana; Villa, Caterina; Meira, Liliana; Oliveira, M. Beatriz P.P.; Leite, José R.S.A.; Mafra, Isabel
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The introduction of genes isolated from different Bacillus thuringiensis strains to express Cry-type toxins in transgenic crops is a common strategy to confer insect resistance traits. This work intended to extensively in silico analyse Cry1A(b)16 protein for the identification of peptide markers for the biorecognition of transgenic crops. By combining two different strategies based on several bioinformatic tools for linear epitope prediction, a set of seven peptides was successfully selected as potential Cry1A(b)16 immunogens. For the prediction of conformational epitopes, Cry1A(b)16 models were built on the basis of three independent templates of homologue proteins of Cry1A(a) and Cry1A(c) using an integrated approach. PcH_736-746 and PcH_876-886 peptides were selected as the best candidates, being synthesised and used for the production of polyclonal antibodies. To the best of our knowledge, this is the first attempt of selecting and defining linear peptides as immunogenic markers of Cry1A(b)-type toxins in transgenic maize.
Fil: Costa, Joana. Universidad de Porto; Portugal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina
Fil: Marani, Mariela Mirta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Universidad de Porto; Portugal
Fil: Grazina, Liliana. Universidad de Porto; Portugal
Fil: Villa, Caterina. Universidad de Porto; Portugal
Fil: Meira, Liliana. Universidad de Porto; Portugal
Fil: Oliveira, M. Beatriz P.P.. Universidad de Porto; Portugal
Fil: Leite, José R.S.A.. Universidade do Brasília; Brasil. Universidade Federal Do Piaui;
Fil: Mafra, Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Universidad de Porto; Portugal
Materia
ANTIBODY PRODUCTION
B- AND T-CELL EPITOPE PREDICTION
BIOINFORMATICS
CRY1A(B)16 TOXIN
GMO
LINEAR AND DISCONTINUOUS EPITOPES
PROCESSED FOOD
Nivel de accesibilidad
acceso embargado
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/55790
Acceder
id CONICETDig_dadf82a01f83a9a236606fc4d0dcc078
oai_identifier_str oai:ri.conicet.gov.ar:11336/55790
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maizeCosta, JoanaMarani, Mariela MirtaGrazina, LilianaVilla, CaterinaMeira, LilianaOliveira, M. Beatriz P.P.Leite, José R.S.A.Mafra, IsabelANTIBODY PRODUCTIONB- AND T-CELL EPITOPE PREDICTIONBIOINFORMATICSCRY1A(B)16 TOXINGMOLINEAR AND DISCONTINUOUS EPITOPESPROCESSED FOODhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The introduction of genes isolated from different Bacillus thuringiensis strains to express Cry-type toxins in transgenic crops is a common strategy to confer insect resistance traits. This work intended to extensively in silico analyse Cry1A(b)16 protein for the identification of peptide markers for the biorecognition of transgenic crops. By combining two different strategies based on several bioinformatic tools for linear epitope prediction, a set of seven peptides was successfully selected as potential Cry1A(b)16 immunogens. For the prediction of conformational epitopes, Cry1A(b)16 models were built on the basis of three independent templates of homologue proteins of Cry1A(a) and Cry1A(c) using an integrated approach. PcH_736-746 and PcH_876-886 peptides were selected as the best candidates, being synthesised and used for the production of polyclonal antibodies. To the best of our knowledge, this is the first attempt of selecting and defining linear peptides as immunogenic markers of Cry1A(b)-type toxins in transgenic maize.Fil: Costa, Joana. Universidad de Porto; Portugal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaFil: Marani, Mariela Mirta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Universidad de Porto; PortugalFil: Grazina, Liliana. Universidad de Porto; PortugalFil: Villa, Caterina. Universidad de Porto; PortugalFil: Meira, Liliana. Universidad de Porto; PortugalFil: Oliveira, M. Beatriz P.P.. Universidad de Porto; PortugalFil: Leite, José R.S.A.. Universidade do Brasília; Brasil. Universidade Federal Do Piaui;Fil: Mafra, Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Universidad de Porto; PortugalElsevier2017-03info:eu-repo/date/embargoEnd/2018-09-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55790Costa, Joana; Marani, Mariela Mirta; Grazina, Liliana; Villa, Caterina; Meira, Liliana; et al.; Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize; Elsevier; Food Chemistry; 231; 3-2017; 340-3470308-8146CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2017.03.154info:eu-repo/semantics/embargoedAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:03:48Zoai:ri.conicet.gov.ar:11336/55790instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:03:49.123CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
title Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
spellingShingle Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
Costa, Joana
ANTIBODY PRODUCTION
B- AND T-CELL EPITOPE PREDICTION
BIOINFORMATICS
CRY1A(B)16 TOXIN
GMO
LINEAR AND DISCONTINUOUS EPITOPES
PROCESSED FOOD
title_short Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
title_full Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
title_fullStr Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
title_full_unstemmed Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
title_sort Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
dc.creator.none.fl_str_mv Costa, Joana
Marani, Mariela Mirta
Grazina, Liliana
Villa, Caterina
Meira, Liliana
Oliveira, M. Beatriz P.P.
Leite, José R.S.A.
Mafra, Isabel
author Costa, Joana
author_facet Costa, Joana
Marani, Mariela Mirta
Grazina, Liliana
Villa, Caterina
Meira, Liliana
Oliveira, M. Beatriz P.P.
Leite, José R.S.A.
Mafra, Isabel
author_role author
author2 Marani, Mariela Mirta
Grazina, Liliana
Villa, Caterina
Meira, Liliana
Oliveira, M. Beatriz P.P.
Leite, José R.S.A.
Mafra, Isabel
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ANTIBODY PRODUCTION
B- AND T-CELL EPITOPE PREDICTION
BIOINFORMATICS
CRY1A(B)16 TOXIN
GMO
LINEAR AND DISCONTINUOUS EPITOPES
PROCESSED FOOD
topic ANTIBODY PRODUCTION
B- AND T-CELL EPITOPE PREDICTION
BIOINFORMATICS
CRY1A(B)16 TOXIN
GMO
LINEAR AND DISCONTINUOUS EPITOPES
PROCESSED FOOD
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The introduction of genes isolated from different Bacillus thuringiensis strains to express Cry-type toxins in transgenic crops is a common strategy to confer insect resistance traits. This work intended to extensively in silico analyse Cry1A(b)16 protein for the identification of peptide markers for the biorecognition of transgenic crops. By combining two different strategies based on several bioinformatic tools for linear epitope prediction, a set of seven peptides was successfully selected as potential Cry1A(b)16 immunogens. For the prediction of conformational epitopes, Cry1A(b)16 models were built on the basis of three independent templates of homologue proteins of Cry1A(a) and Cry1A(c) using an integrated approach. PcH_736-746 and PcH_876-886 peptides were selected as the best candidates, being synthesised and used for the production of polyclonal antibodies. To the best of our knowledge, this is the first attempt of selecting and defining linear peptides as immunogenic markers of Cry1A(b)-type toxins in transgenic maize.
Fil: Costa, Joana. Universidad de Porto; Portugal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina
Fil: Marani, Mariela Mirta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Universidad de Porto; Portugal
Fil: Grazina, Liliana. Universidad de Porto; Portugal
Fil: Villa, Caterina. Universidad de Porto; Portugal
Fil: Meira, Liliana. Universidad de Porto; Portugal
Fil: Oliveira, M. Beatriz P.P.. Universidad de Porto; Portugal
Fil: Leite, José R.S.A.. Universidade do Brasília; Brasil. Universidade Federal Do Piaui;
Fil: Mafra, Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Universidad de Porto; Portugal
description The introduction of genes isolated from different Bacillus thuringiensis strains to express Cry-type toxins in transgenic crops is a common strategy to confer insect resistance traits. This work intended to extensively in silico analyse Cry1A(b)16 protein for the identification of peptide markers for the biorecognition of transgenic crops. By combining two different strategies based on several bioinformatic tools for linear epitope prediction, a set of seven peptides was successfully selected as potential Cry1A(b)16 immunogens. For the prediction of conformational epitopes, Cry1A(b)16 models were built on the basis of three independent templates of homologue proteins of Cry1A(a) and Cry1A(c) using an integrated approach. PcH_736-746 and PcH_876-886 peptides were selected as the best candidates, being synthesised and used for the production of polyclonal antibodies. To the best of our knowledge, this is the first attempt of selecting and defining linear peptides as immunogenic markers of Cry1A(b)-type toxins in transgenic maize.
publishDate 2017
dc.date.none.fl_str_mv 2017-03
info:eu-repo/date/embargoEnd/2018-09-17
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/55790
Costa, Joana; Marani, Mariela Mirta; Grazina, Liliana; Villa, Caterina; Meira, Liliana; et al.; Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize; Elsevier; Food Chemistry; 231; 3-2017; 340-347
0308-8146
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55790
identifier_str_mv Costa, Joana; Marani, Mariela Mirta; Grazina, Liliana; Villa, Caterina; Meira, Liliana; et al.; Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize; Elsevier; Food Chemistry; 231; 3-2017; 340-347
0308-8146
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2017.03.154
dc.rights.none.fl_str_mv info:eu-repo/semantics/embargoedAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv embargoedAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842980109500284928
score 13.004268

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