Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex
- Autores
- San Eufrasio, Bonoso; Bigatton, Ezequiel Darío; Guerrero Sánchez, Victor M.; Chaturvedi, Palak; Jorrín Novo, Jesús V.; Rey, María Dolores; Castillejo Sánchez, María Ángeles
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Drought is one of the main causes of mortality in holm oak (Quercus ilex) seedlings used in reforestation programs. Although this species shows high adaptability to the extreme climate conditions prevailing in Southern Spain, its intrinsic genetic variability may play a role in the differential response of some populations and individuals. The aim of this work was to identify proteins and derived proteotypic peptides potentially useful as putative markers for drought tolerance in holm oak by using a targeted post-acquisition proteomics approach. For this purpose, we used a set of proteins identified by shotgun (LC-MSMS) analysis in a drought experiment on Q. ilex seedlings from four different provenances (viz. the Andalusian provinces Granada, Huelva, Cadiz and Seville). A double strategy involving the quantification of proteins and target peptides by shotgun analysis and post-acquisition data analysis based on proteotypic peptides was used. To this end, an initial list of proteotypic peptides from proteins highly represented under drought conditions was compiled that was used in combination with the raw files from the shotgun experiment to quantify the relative abundance of the fragment’s ion peaks with the software Skyline. The most abundant peptides under drought conditions in at least two populations were selected as putative markers of drought tolerance. A total of 30 proteins and 46 derived peptides belonging to the redox, stress-related, synthesis,-folding and degradation, and primary and secondary metabolism functional groups were thus identified. Two proteins (viz., subtilisin and chaperone GrpE protein) were found at increased levels in three populations, which make them especially interesting for validation drought tolerance markers in subsequent experiments.
Fil: San Eufrasio, Bonoso. Universidad de Córdoba; España
Fil: Bigatton, Ezequiel Darío. Universidad de Córdoba; España. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Recursos Naturales. Cátedra de Microbiología Agrícola; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Guerrero Sánchez, Victor M.. Universidad de Córdoba; España
Fil: Chaturvedi, Palak. Vienna University of Technology; Austria
Fil: Jorrín Novo, Jesús V.. Universidad de Córdoba; España
Fil: Rey, María Dolores. Universidad de Córdoba; España
Fil: Castillejo Sánchez, María Ángeles. Universidad de Córdoba; España - Materia
-
DROUGHT TOLERANCE
PEPTIDE MARKERS
QUERCUS ILEX
TARGETED POST-ACQUISITION PROTEOMICS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/151896
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/151896 |
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Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilexSan Eufrasio, BonosoBigatton, Ezequiel DaríoGuerrero Sánchez, Victor M.Chaturvedi, PalakJorrín Novo, Jesús V.Rey, María DoloresCastillejo Sánchez, María ÁngelesDROUGHT TOLERANCEPEPTIDE MARKERSQUERCUS ILEXTARGETED POST-ACQUISITION PROTEOMICShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Drought is one of the main causes of mortality in holm oak (Quercus ilex) seedlings used in reforestation programs. Although this species shows high adaptability to the extreme climate conditions prevailing in Southern Spain, its intrinsic genetic variability may play a role in the differential response of some populations and individuals. The aim of this work was to identify proteins and derived proteotypic peptides potentially useful as putative markers for drought tolerance in holm oak by using a targeted post-acquisition proteomics approach. For this purpose, we used a set of proteins identified by shotgun (LC-MSMS) analysis in a drought experiment on Q. ilex seedlings from four different provenances (viz. the Andalusian provinces Granada, Huelva, Cadiz and Seville). A double strategy involving the quantification of proteins and target peptides by shotgun analysis and post-acquisition data analysis based on proteotypic peptides was used. To this end, an initial list of proteotypic peptides from proteins highly represented under drought conditions was compiled that was used in combination with the raw files from the shotgun experiment to quantify the relative abundance of the fragment’s ion peaks with the software Skyline. The most abundant peptides under drought conditions in at least two populations were selected as putative markers of drought tolerance. A total of 30 proteins and 46 derived peptides belonging to the redox, stress-related, synthesis,-folding and degradation, and primary and secondary metabolism functional groups were thus identified. Two proteins (viz., subtilisin and chaperone GrpE protein) were found at increased levels in three populations, which make them especially interesting for validation drought tolerance markers in subsequent experiments.Fil: San Eufrasio, Bonoso. Universidad de Córdoba; EspañaFil: Bigatton, Ezequiel Darío. Universidad de Córdoba; España. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Recursos Naturales. Cátedra de Microbiología Agrícola; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Guerrero Sánchez, Victor M.. Universidad de Córdoba; EspañaFil: Chaturvedi, Palak. Vienna University of Technology; AustriaFil: Jorrín Novo, Jesús V.. Universidad de Córdoba; EspañaFil: Rey, María Dolores. Universidad de Córdoba; EspañaFil: Castillejo Sánchez, María Ángeles. Universidad de Córdoba; EspañaMDPI2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/151896San Eufrasio, Bonoso; Bigatton, Ezequiel Darío; Guerrero Sánchez, Victor M.; Chaturvedi, Palak; Jorrín Novo, Jesús V.; et al.; Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex; MDPI; International Journal of Molecular Sciences; 22; 6; 3-2021; 1-171661-65961422-0067CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1422-0067/22/6/3191info:eu-repo/semantics/altIdentifier/doi/10.3390/ijms22063191info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:44:42Zoai:ri.conicet.gov.ar:11336/151896instacron: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:34982025-09-29 10:44:42.967CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
title |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
spellingShingle |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex San Eufrasio, Bonoso DROUGHT TOLERANCE PEPTIDE MARKERS QUERCUS ILEX TARGETED POST-ACQUISITION PROTEOMICS |
title_short |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
title_full |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
title_fullStr |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
title_full_unstemmed |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
title_sort |
Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex |
dc.creator.none.fl_str_mv |
San Eufrasio, Bonoso Bigatton, Ezequiel Darío Guerrero Sánchez, Victor M. Chaturvedi, Palak Jorrín Novo, Jesús V. Rey, María Dolores Castillejo Sánchez, María Ángeles |
author |
San Eufrasio, Bonoso |
author_facet |
San Eufrasio, Bonoso Bigatton, Ezequiel Darío Guerrero Sánchez, Victor M. Chaturvedi, Palak Jorrín Novo, Jesús V. Rey, María Dolores Castillejo Sánchez, María Ángeles |
author_role |
author |
author2 |
Bigatton, Ezequiel Darío Guerrero Sánchez, Victor M. Chaturvedi, Palak Jorrín Novo, Jesús V. Rey, María Dolores Castillejo Sánchez, María Ángeles |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
DROUGHT TOLERANCE PEPTIDE MARKERS QUERCUS ILEX TARGETED POST-ACQUISITION PROTEOMICS |
topic |
DROUGHT TOLERANCE PEPTIDE MARKERS QUERCUS ILEX TARGETED POST-ACQUISITION PROTEOMICS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Drought is one of the main causes of mortality in holm oak (Quercus ilex) seedlings used in reforestation programs. Although this species shows high adaptability to the extreme climate conditions prevailing in Southern Spain, its intrinsic genetic variability may play a role in the differential response of some populations and individuals. The aim of this work was to identify proteins and derived proteotypic peptides potentially useful as putative markers for drought tolerance in holm oak by using a targeted post-acquisition proteomics approach. For this purpose, we used a set of proteins identified by shotgun (LC-MSMS) analysis in a drought experiment on Q. ilex seedlings from four different provenances (viz. the Andalusian provinces Granada, Huelva, Cadiz and Seville). A double strategy involving the quantification of proteins and target peptides by shotgun analysis and post-acquisition data analysis based on proteotypic peptides was used. To this end, an initial list of proteotypic peptides from proteins highly represented under drought conditions was compiled that was used in combination with the raw files from the shotgun experiment to quantify the relative abundance of the fragment’s ion peaks with the software Skyline. The most abundant peptides under drought conditions in at least two populations were selected as putative markers of drought tolerance. A total of 30 proteins and 46 derived peptides belonging to the redox, stress-related, synthesis,-folding and degradation, and primary and secondary metabolism functional groups were thus identified. Two proteins (viz., subtilisin and chaperone GrpE protein) were found at increased levels in three populations, which make them especially interesting for validation drought tolerance markers in subsequent experiments. Fil: San Eufrasio, Bonoso. Universidad de Córdoba; España Fil: Bigatton, Ezequiel Darío. Universidad de Córdoba; España. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Recursos Naturales. Cátedra de Microbiología Agrícola; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: Guerrero Sánchez, Victor M.. Universidad de Córdoba; España Fil: Chaturvedi, Palak. Vienna University of Technology; Austria Fil: Jorrín Novo, Jesús V.. Universidad de Córdoba; España Fil: Rey, María Dolores. Universidad de Córdoba; España Fil: Castillejo Sánchez, María Ángeles. Universidad de Córdoba; España |
description |
Drought is one of the main causes of mortality in holm oak (Quercus ilex) seedlings used in reforestation programs. Although this species shows high adaptability to the extreme climate conditions prevailing in Southern Spain, its intrinsic genetic variability may play a role in the differential response of some populations and individuals. The aim of this work was to identify proteins and derived proteotypic peptides potentially useful as putative markers for drought tolerance in holm oak by using a targeted post-acquisition proteomics approach. For this purpose, we used a set of proteins identified by shotgun (LC-MSMS) analysis in a drought experiment on Q. ilex seedlings from four different provenances (viz. the Andalusian provinces Granada, Huelva, Cadiz and Seville). A double strategy involving the quantification of proteins and target peptides by shotgun analysis and post-acquisition data analysis based on proteotypic peptides was used. To this end, an initial list of proteotypic peptides from proteins highly represented under drought conditions was compiled that was used in combination with the raw files from the shotgun experiment to quantify the relative abundance of the fragment’s ion peaks with the software Skyline. The most abundant peptides under drought conditions in at least two populations were selected as putative markers of drought tolerance. A total of 30 proteins and 46 derived peptides belonging to the redox, stress-related, synthesis,-folding and degradation, and primary and secondary metabolism functional groups were thus identified. Two proteins (viz., subtilisin and chaperone GrpE protein) were found at increased levels in three populations, which make them especially interesting for validation drought tolerance markers in subsequent experiments. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03 |
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/11336/151896 San Eufrasio, Bonoso; Bigatton, Ezequiel Darío; Guerrero Sánchez, Victor M.; Chaturvedi, Palak; Jorrín Novo, Jesús V.; et al.; Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex; MDPI; International Journal of Molecular Sciences; 22; 6; 3-2021; 1-17 1661-6596 1422-0067 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/151896 |
identifier_str_mv |
San Eufrasio, Bonoso; Bigatton, Ezequiel Darío; Guerrero Sánchez, Victor M.; Chaturvedi, Palak; Jorrín Novo, Jesús V.; et al.; Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex; MDPI; International Journal of Molecular Sciences; 22; 6; 3-2021; 1-17 1661-6596 1422-0067 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1422-0067/22/6/3191 info:eu-repo/semantics/altIdentifier/doi/10.3390/ijms22063191 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |