Selection of reference genes for expression profiling in biostimulation research of soybean

Autores
Sozoniuk, Magdalena; Świeca, Michał; Bohatá, Andrea; Bartoš, Petr; Bedrníček, Jan; Lorenc, František; Jarošová, Markéta; Perná, Kristýna; Stupková, Adéla; Lencová, Jana; Olšan, Pavel; Bárta, Jan; Szparaga, Agnieszka; Pérez Pizá, María Cecilia; Kocira, Slawomir
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Plant biostimulants constitute a promising environmentally friendly alternative for increasing crop yield and tolerance to unfavorable conditions. Among various types of such formulations, botanical extracts are gaining more recognition as products supporting plant performance. Moreover, novel tools such as cold-plasma or low-pressure microwave plasma discharge are being proposed as techniques that might improve their efficacy. Elucidation of the biostimulant’s mode of action requires complex research at a molecular level. Transcriptional changes occurring after biostimulant spraying might be investigated using RT-qPCR. However, this technique requires data normalization against stable endogenous controls.Results: Here, we tested the expression stability of ten candidate genes in soybean plants exposed to various biostimulants treatment. Selection of the best-performing reference genes was conducted using four algorithm (geNorm, NormFinder, BestKeeper, and ΔCt method). According to the obtained results, Bic-C2 (RNA-binding protein Bicaudal-C) and CYP (cyclophilin type peptidyl-prolyl cis–trans isomerase) showed highest expression stability, while expression of EF1B (elongation factor 1-beta) fluctuated the most among a tested set of candidate genes.Conclusions: Overall, we recommend using Bic-C2 together with CYP for the RT-qPCR data normalization in soybean biostimulation experiments. To our best knowledge, this is the first comprehensive study of reference genes stability in plants subjected to biostimulant treatment. The results of this study will aid in further biostimulant research in crop plants, facilitating analyses performed on the transcriptional level.
Fil: Sozoniuk, Magdalena. University Of Life Sciences In Lublin; Polonia
Fil: Świeca, Michał. University Of Life Sciences In Lublin; Polonia
Fil: Bohatá, Andrea. University Of South Bohemia In Ceské Budejovice; República Checa
Fil: Bartoš, Petr. University Of South Bohemia In Ceské Budejovice; República Checa
Fil: Bedrníček, Jan. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Lorenc, František. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Jarošová, Markéta. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Perná, Kristýna. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Stupková, Adéla. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Lencová, Jana. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Olšan, Pavel. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Bárta, Jan. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Szparaga, Agnieszka. Koszalin University Of Technology; Polonia. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Pérez Pizá, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones En Biodiversidad y Biotecnología. Grupo de Investigación en Química Analítica y Modelado Molecular; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Fitopatología; Argentina
Fil: Kocira, Slawomir. University Of Life Sciences In Lublin; Polonia. University Of South Bohemia In České BudĚjovice; República Checa
Materia
Reference genes
Biostimulant
Gene expression
Soybean
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/266391
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/266391
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Selection of reference genes for expression profiling in biostimulation research of soybeanSozoniuk, MagdalenaŚwieca, MichałBohatá, AndreaBartoš, PetrBedrníček, JanLorenc, FrantišekJarošová, MarkétaPerná, KristýnaStupková, AdélaLencová, JanaOlšan, PavelBárta, JanSzparaga, AgnieszkaPérez Pizá, María CeciliaKocira, SlawomirReference genesBiostimulantGene expressionSoybeanhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Background: Plant biostimulants constitute a promising environmentally friendly alternative for increasing crop yield and tolerance to unfavorable conditions. Among various types of such formulations, botanical extracts are gaining more recognition as products supporting plant performance. Moreover, novel tools such as cold-plasma or low-pressure microwave plasma discharge are being proposed as techniques that might improve their efficacy. Elucidation of the biostimulant’s mode of action requires complex research at a molecular level. Transcriptional changes occurring after biostimulant spraying might be investigated using RT-qPCR. However, this technique requires data normalization against stable endogenous controls.Results: Here, we tested the expression stability of ten candidate genes in soybean plants exposed to various biostimulants treatment. Selection of the best-performing reference genes was conducted using four algorithm (geNorm, NormFinder, BestKeeper, and ΔCt method). According to the obtained results, Bic-C2 (RNA-binding protein Bicaudal-C) and CYP (cyclophilin type peptidyl-prolyl cis–trans isomerase) showed highest expression stability, while expression of EF1B (elongation factor 1-beta) fluctuated the most among a tested set of candidate genes.Conclusions: Overall, we recommend using Bic-C2 together with CYP for the RT-qPCR data normalization in soybean biostimulation experiments. To our best knowledge, this is the first comprehensive study of reference genes stability in plants subjected to biostimulant treatment. The results of this study will aid in further biostimulant research in crop plants, facilitating analyses performed on the transcriptional level.Fil: Sozoniuk, Magdalena. University Of Life Sciences In Lublin; PoloniaFil: Świeca, Michał. University Of Life Sciences In Lublin; PoloniaFil: Bohatá, Andrea. University Of South Bohemia In Ceské Budejovice; República ChecaFil: Bartoš, Petr. University Of South Bohemia In Ceské Budejovice; República ChecaFil: Bedrníček, Jan. University Of South Bohemia In České BudĚjovice; República ChecaFil: Lorenc, František. University Of South Bohemia In České BudĚjovice; República ChecaFil: Jarošová, Markéta. University Of South Bohemia In České BudĚjovice; República ChecaFil: Perná, Kristýna. University Of South Bohemia In České BudĚjovice; República ChecaFil: Stupková, Adéla. University Of South Bohemia In České BudĚjovice; República ChecaFil: Lencová, Jana. University Of South Bohemia In České BudĚjovice; República ChecaFil: Olšan, Pavel. University Of South Bohemia In České BudĚjovice; República ChecaFil: Bárta, Jan. University Of South Bohemia In České BudĚjovice; República ChecaFil: Szparaga, Agnieszka. Koszalin University Of Technology; Polonia. University Of South Bohemia In České BudĚjovice; República ChecaFil: Pérez Pizá, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones En Biodiversidad y Biotecnología. Grupo de Investigación en Química Analítica y Modelado Molecular; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Fitopatología; ArgentinaFil: Kocira, Slawomir. University Of Life Sciences In Lublin; Polonia. University Of South Bohemia In České BudĚjovice; República ChecaSpringer2024-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/266391Sozoniuk, Magdalena; Świeca, Michał; Bohatá, Andrea; Bartoš, Petr; Bedrníček, Jan; et al.; Selection of reference genes for expression profiling in biostimulation research of soybean; Springer; Chemical and Biological Technologies in Agriculture; 11; 1; 9-2024; 1-132196-5641CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://chembioagro.springeropen.com/articles/10.1186/s40538-024-00660-3info:eu-repo/semantics/altIdentifier/doi/10.1186/s40538-024-00660-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:57Zoai:ri.conicet.gov.ar:11336/266391instacron: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 09:40:58.226CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Selection of reference genes for expression profiling in biostimulation research of soybean
title Selection of reference genes for expression profiling in biostimulation research of soybean
spellingShingle Selection of reference genes for expression profiling in biostimulation research of soybean
Sozoniuk, Magdalena
Reference genes
Biostimulant
Gene expression
Soybean
title_short Selection of reference genes for expression profiling in biostimulation research of soybean
title_full Selection of reference genes for expression profiling in biostimulation research of soybean
title_fullStr Selection of reference genes for expression profiling in biostimulation research of soybean
title_full_unstemmed Selection of reference genes for expression profiling in biostimulation research of soybean
title_sort Selection of reference genes for expression profiling in biostimulation research of soybean
dc.creator.none.fl_str_mv Sozoniuk, Magdalena
Świeca, Michał
Bohatá, Andrea
Bartoš, Petr
Bedrníček, Jan
Lorenc, František
Jarošová, Markéta
Perná, Kristýna
Stupková, Adéla
Lencová, Jana
Olšan, Pavel
Bárta, Jan
Szparaga, Agnieszka
Pérez Pizá, María Cecilia
Kocira, Slawomir
author Sozoniuk, Magdalena
author_facet Sozoniuk, Magdalena
Świeca, Michał
Bohatá, Andrea
Bartoš, Petr
Bedrníček, Jan
Lorenc, František
Jarošová, Markéta
Perná, Kristýna
Stupková, Adéla
Lencová, Jana
Olšan, Pavel
Bárta, Jan
Szparaga, Agnieszka
Pérez Pizá, María Cecilia
Kocira, Slawomir
author_role author
author2 Świeca, Michał
Bohatá, Andrea
Bartoš, Petr
Bedrníček, Jan
Lorenc, František
Jarošová, Markéta
Perná, Kristýna
Stupková, Adéla
Lencová, Jana
Olšan, Pavel
Bárta, Jan
Szparaga, Agnieszka
Pérez Pizá, María Cecilia
Kocira, Slawomir
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Reference genes
Biostimulant
Gene expression
Soybean
topic Reference genes
Biostimulant
Gene expression
Soybean
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Background: Plant biostimulants constitute a promising environmentally friendly alternative for increasing crop yield and tolerance to unfavorable conditions. Among various types of such formulations, botanical extracts are gaining more recognition as products supporting plant performance. Moreover, novel tools such as cold-plasma or low-pressure microwave plasma discharge are being proposed as techniques that might improve their efficacy. Elucidation of the biostimulant’s mode of action requires complex research at a molecular level. Transcriptional changes occurring after biostimulant spraying might be investigated using RT-qPCR. However, this technique requires data normalization against stable endogenous controls.Results: Here, we tested the expression stability of ten candidate genes in soybean plants exposed to various biostimulants treatment. Selection of the best-performing reference genes was conducted using four algorithm (geNorm, NormFinder, BestKeeper, and ΔCt method). According to the obtained results, Bic-C2 (RNA-binding protein Bicaudal-C) and CYP (cyclophilin type peptidyl-prolyl cis–trans isomerase) showed highest expression stability, while expression of EF1B (elongation factor 1-beta) fluctuated the most among a tested set of candidate genes.Conclusions: Overall, we recommend using Bic-C2 together with CYP for the RT-qPCR data normalization in soybean biostimulation experiments. To our best knowledge, this is the first comprehensive study of reference genes stability in plants subjected to biostimulant treatment. The results of this study will aid in further biostimulant research in crop plants, facilitating analyses performed on the transcriptional level.
Fil: Sozoniuk, Magdalena. University Of Life Sciences In Lublin; Polonia
Fil: Świeca, Michał. University Of Life Sciences In Lublin; Polonia
Fil: Bohatá, Andrea. University Of South Bohemia In Ceské Budejovice; República Checa
Fil: Bartoš, Petr. University Of South Bohemia In Ceské Budejovice; República Checa
Fil: Bedrníček, Jan. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Lorenc, František. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Jarošová, Markéta. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Perná, Kristýna. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Stupková, Adéla. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Lencová, Jana. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Olšan, Pavel. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Bárta, Jan. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Szparaga, Agnieszka. Koszalin University Of Technology; Polonia. University Of South Bohemia In České BudĚjovice; República Checa
Fil: Pérez Pizá, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones En Biodiversidad y Biotecnología. Grupo de Investigación en Química Analítica y Modelado Molecular; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Fitopatología; Argentina
Fil: Kocira, Slawomir. University Of Life Sciences In Lublin; Polonia. University Of South Bohemia In České BudĚjovice; República Checa
description Background: Plant biostimulants constitute a promising environmentally friendly alternative for increasing crop yield and tolerance to unfavorable conditions. Among various types of such formulations, botanical extracts are gaining more recognition as products supporting plant performance. Moreover, novel tools such as cold-plasma or low-pressure microwave plasma discharge are being proposed as techniques that might improve their efficacy. Elucidation of the biostimulant’s mode of action requires complex research at a molecular level. Transcriptional changes occurring after biostimulant spraying might be investigated using RT-qPCR. However, this technique requires data normalization against stable endogenous controls.Results: Here, we tested the expression stability of ten candidate genes in soybean plants exposed to various biostimulants treatment. Selection of the best-performing reference genes was conducted using four algorithm (geNorm, NormFinder, BestKeeper, and ΔCt method). According to the obtained results, Bic-C2 (RNA-binding protein Bicaudal-C) and CYP (cyclophilin type peptidyl-prolyl cis–trans isomerase) showed highest expression stability, while expression of EF1B (elongation factor 1-beta) fluctuated the most among a tested set of candidate genes.Conclusions: Overall, we recommend using Bic-C2 together with CYP for the RT-qPCR data normalization in soybean biostimulation experiments. To our best knowledge, this is the first comprehensive study of reference genes stability in plants subjected to biostimulant treatment. The results of this study will aid in further biostimulant research in crop plants, facilitating analyses performed on the transcriptional level.
publishDate 2024
dc.date.none.fl_str_mv 2024-09
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/11336/266391
Sozoniuk, Magdalena; Świeca, Michał; Bohatá, Andrea; Bartoš, Petr; Bedrníček, Jan; et al.; Selection of reference genes for expression profiling in biostimulation research of soybean; Springer; Chemical and Biological Technologies in Agriculture; 11; 1; 9-2024; 1-13
2196-5641
CONICET Digital
CONICET
url http://hdl.handle.net/11336/266391
identifier_str_mv Sozoniuk, Magdalena; Świeca, Michał; Bohatá, Andrea; Bartoš, Petr; Bedrníček, Jan; et al.; Selection of reference genes for expression profiling in biostimulation research of soybean; Springer; Chemical and Biological Technologies in Agriculture; 11; 1; 9-2024; 1-13
2196-5641
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://chembioagro.springeropen.com/articles/10.1186/s40538-024-00660-3
info:eu-repo/semantics/altIdentifier/doi/10.1186/s40538-024-00660-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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
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score 13.070432

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