Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of t...

Autores: Sadık, Gökhan; Yildiz, Mehtap; Taşkın, Bilgin; Koçak, Metin; Cavagnaro, Pablo; Baloch, Faheem Shehzad
Año de publicación: 2025
Idioma: inglés
Tipo de recurso: artículo
Estado: versión publicada
Descripción: Sugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the United States of America, 16 from Iran, 12 from England and Beta vulgaris L. subsp. maritima L. Arcang. as wild species were characterized using 15 inter-primer binding site (iPBS) markers that produced intense and polymorphic bands in the germplasm library. Using these 15 iPBS markers, 102 polymorphic bands were produced and the average number of polymorphic bands was determined as 6.8. Polymorphism information content (PIC) values ranged between 0.58 and 0.83, and the average PIC value was found to be 0.70. It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. Also, the analysis of molecular variance (AMOVA) showed that there was 8% variance among populations and 92% variance within populations. This is the first study to investigate the genetic diversity and population structure of sugar beet germplasm using the iPBS-retrotransposon marker system. The results of this research emphasized that iPBS markers are very successful and effective in examining the genetic diversity of sugar beet germplasm. The results obtained in this study provide a theoretical basis for future selection and breeding of superior sugar beet germplasm sources.
EEA Mendoza
Fil: Sadık, Gökhan. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía
Fil: Yıldız, Mehtap. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía
Fil: Taşkın, Bilgin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía
Fil: Koçak, Metin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía
Fil: Cavagnaro, Pablo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: Cavagnaro, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cavagnaro, Pablo Federico. University of Agriculture in Krakow. Faculty of Biotechnology and Horticulture. Department of Plant Biology, and Biotechnology; Polonia
Fil: Baloch, Faheem Shehzad. Mersin University. Faculty of Sciences; Turquía
Fuente: Genetic Resources and Crop Evolution 72 (3) : 3039-3049. (2025)
Materia: Remolacha Azucarera
Germoplasma
Marcadores Genéticos
Diversidad genética (recurso)
Sugar Beet
Beta vulgaris
Germplasm
Genetic Markers
Genetic Diversity (resource)
Marcadores Moleculares
Nivel de accesibilidad: acceso restringido
Condiciones de uso: http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Institución: Instituto Nacional de Tecnología Agropecuaria
OAI Identificador: oai:localhost:20.500.12123/23799

Acceder

id	INTADig_5dce9857937ff084d5d667878027a8c4
oai_identifier_str	oai:localhost:20.500.12123/23799
network_acronym_str	INTADig
repository_id_str	l
network_name_str	INTA Digital (INTA)
spelling	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the worldSadık, GökhanYildiz, MehtapTaşkın, BilginKoçak, MetinCavagnaro, PabloBaloch, Faheem ShehzadRemolacha AzucareraGermoplasmaMarcadores GenéticosDiversidad genética (recurso)Sugar BeetBeta vulgarisGermplasmGenetic MarkersGenetic Diversity (resource)Marcadores MolecularesSugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the United States of America, 16 from Iran, 12 from England and Beta vulgaris L. subsp. maritima L. Arcang. as wild species were characterized using 15 inter-primer binding site (iPBS) markers that produced intense and polymorphic bands in the germplasm library. Using these 15 iPBS markers, 102 polymorphic bands were produced and the average number of polymorphic bands was determined as 6.8. Polymorphism information content (PIC) values ranged between 0.58 and 0.83, and the average PIC value was found to be 0.70. It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. Also, the analysis of molecular variance (AMOVA) showed that there was 8% variance among populations and 92% variance within populations. This is the first study to investigate the genetic diversity and population structure of sugar beet germplasm using the iPBS-retrotransposon marker system. The results of this research emphasized that iPBS markers are very successful and effective in examining the genetic diversity of sugar beet germplasm. The results obtained in this study provide a theoretical basis for future selection and breeding of superior sugar beet germplasm sources.EEA MendozaFil: Sadık, Gökhan. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; TurquíaFil: Yıldız, Mehtap. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; TurquíaFil: Taşkın, Bilgin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; TurquíaFil: Koçak, Metin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; TurquíaFil: Cavagnaro, Pablo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; ArgentinaFil: Cavagnaro, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cavagnaro, Pablo Federico. University of Agriculture in Krakow. Faculty of Biotechnology and Horticulture. Department of Plant Biology, and Biotechnology; PoloniaFil: Baloch, Faheem Shehzad. Mersin University. Faculty of Sciences; TurquíaSpringer2025-09-12T14:37:24Z2025-09-12T14:37:24Z2025-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/23799https://link.springer.com/article/10.1007/s10722-024-02148-30925-98641573-5109https://doi.org/10.1007/s10722-024-02148-3Genetic Resources and Crop Evolution 72 (3) : 3039-3049. (2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:47:31Zoai:localhost:20.500.12123/23799instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:47:32.212INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
title	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
spellingShingle	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world Sadık, Gökhan Remolacha Azucarera Germoplasma Marcadores Genéticos Diversidad genética (recurso) Sugar Beet Beta vulgaris Germplasm Genetic Markers Genetic Diversity (resource) Marcadores Moleculares
title_short	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
title_full	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
title_fullStr	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
title_full_unstemmed	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
title_sort	Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the world
dc.creator.none.fl_str_mv	Sadık, Gökhan Yildiz, Mehtap Taşkın, Bilgin Koçak, Metin Cavagnaro, Pablo Baloch, Faheem Shehzad
author	Sadık, Gökhan
author_facet	Sadık, Gökhan Yildiz, Mehtap Taşkın, Bilgin Koçak, Metin Cavagnaro, Pablo Baloch, Faheem Shehzad
author_role	author
author2	Yildiz, Mehtap Taşkın, Bilgin Koçak, Metin Cavagnaro, Pablo Baloch, Faheem Shehzad
author2_role	author author author author author
dc.subject.none.fl_str_mv	Remolacha Azucarera Germoplasma Marcadores Genéticos Diversidad genética (recurso) Sugar Beet Beta vulgaris Germplasm Genetic Markers Genetic Diversity (resource) Marcadores Moleculares
topic	Remolacha Azucarera Germoplasma Marcadores Genéticos Diversidad genética (recurso) Sugar Beet Beta vulgaris Germplasm Genetic Markers Genetic Diversity (resource) Marcadores Moleculares
dc.description.none.fl_txt_mv	Sugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the United States of America, 16 from Iran, 12 from England and Beta vulgaris L. subsp. maritima L. Arcang. as wild species were characterized using 15 inter-primer binding site (iPBS) markers that produced intense and polymorphic bands in the germplasm library. Using these 15 iPBS markers, 102 polymorphic bands were produced and the average number of polymorphic bands was determined as 6.8. Polymorphism information content (PIC) values ranged between 0.58 and 0.83, and the average PIC value was found to be 0.70. It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. Also, the analysis of molecular variance (AMOVA) showed that there was 8% variance among populations and 92% variance within populations. This is the first study to investigate the genetic diversity and population structure of sugar beet germplasm using the iPBS-retrotransposon marker system. The results of this research emphasized that iPBS markers are very successful and effective in examining the genetic diversity of sugar beet germplasm. The results obtained in this study provide a theoretical basis for future selection and breeding of superior sugar beet germplasm sources. EEA Mendoza Fil: Sadık, Gökhan. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía Fil: Yıldız, Mehtap. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía Fil: Taşkın, Bilgin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía Fil: Koçak, Metin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquía Fil: Cavagnaro, Pablo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina Fil: Cavagnaro, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Cavagnaro, Pablo Federico. University of Agriculture in Krakow. Faculty of Biotechnology and Horticulture. Department of Plant Biology, and Biotechnology; Polonia Fil: Baloch, Faheem Shehzad. Mersin University. Faculty of Sciences; Turquía
description	Sugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the United States of America, 16 from Iran, 12 from England and Beta vulgaris L. subsp. maritima L. Arcang. as wild species were characterized using 15 inter-primer binding site (iPBS) markers that produced intense and polymorphic bands in the germplasm library. Using these 15 iPBS markers, 102 polymorphic bands were produced and the average number of polymorphic bands was determined as 6.8. Polymorphism information content (PIC) values ranged between 0.58 and 0.83, and the average PIC value was found to be 0.70. It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. Also, the analysis of molecular variance (AMOVA) showed that there was 8% variance among populations and 92% variance within populations. This is the first study to investigate the genetic diversity and population structure of sugar beet germplasm using the iPBS-retrotransposon marker system. The results of this research emphasized that iPBS markers are very successful and effective in examining the genetic diversity of sugar beet germplasm. The results obtained in this study provide a theoretical basis for future selection and breeding of superior sugar beet germplasm sources.
publishDate	2025
dc.date.none.fl_str_mv	2025-09-12T14:37:24Z 2025-09-12T14:37:24Z 2025-03
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/20.500.12123/23799 https://link.springer.com/article/10.1007/s10722-024-02148-3 0925-9864 1573-5109 https://doi.org/10.1007/s10722-024-02148-3
url	http://hdl.handle.net/20.500.12123/23799 https://link.springer.com/article/10.1007/s10722-024-02148-3 https://doi.org/10.1007/s10722-024-02148-3
identifier_str_mv	0925-9864 1573-5109
dc.language.none.fl_str_mv	eng
language	eng
dc.rights.none.fl_str_mv	info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv	restrictedAccess
rights_invalid_str_mv	http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv	application/pdf
dc.publisher.none.fl_str_mv	Springer
publisher.none.fl_str_mv	Springer
dc.source.none.fl_str_mv	Genetic Resources and Crop Evolution 72 (3) : 3039-3049. (2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str	INTA Digital (INTA)
collection	INTA Digital (INTA)
instname_str	Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv	INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv	tripaldi.nicolas@inta.gob.ar
_version_	1844619209416376320
score	12.559606

Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of t...

Publicaciones similares