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.contributor.author Sadik, Gokhan
dc.contributor.author Yildiz, Mehtap
dc.contributor.author Taskin, Bilgin
dc.contributor.author Kocak, Metin
dc.contributor.author Cavagnaro, Pablo Federico
dc.contributor.author Baloch, Faheem Shehzad
dc.date.accessioned 2025-05-10T17:25:19Z
dc.date.available 2025-05-10T17:25:19Z
dc.date.issued 2025
dc.description Baloch, Faheem Shehzad/0000-0002-7470-0080; Yildiz, Mehtap/0000-0001-6534-5286; Kocak, Metin/0000-0002-8109-5245; Taskin, Bilgin/0000-0002-9772-7438 en_US
dc.description.abstract 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. en_US
dc.description.sponsorship United States Department of Agriculture (USDA) en_US
dc.description.sponsorship The accessions used in the present research were provided by United States Department of Agriculture (USDA). en_US
dc.identifier.doi 10.1007/s10722-024-02148-3
dc.identifier.issn 0925-9864
dc.identifier.issn 1573-5109
dc.identifier.scopus 2-s2.0-105001081214
dc.identifier.uri https://doi.org/10.1007/s10722-024-02148-3
dc.identifier.uri https://hdl.handle.net/20.500.14720/11317
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Germplasm en_US
dc.subject Sugar Beet en_US
dc.subject Ipbs en_US
dc.subject Genetic Diversity en_US
dc.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 en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Baloch, Faheem Shehzad/0000-0002-7470-0080
gdc.author.id Yildiz, Mehtap/0000-0001-6534-5286
gdc.author.id Kocak, Metin/0000-0002-8109-5245
gdc.author.id Taskin, Bilgin/0000-0002-9772-7438
gdc.author.scopusid 57452259400
gdc.author.scopusid 13105518600
gdc.author.scopusid 55410377200
gdc.author.scopusid 56835237200
gdc.author.scopusid 8619153100
gdc.author.scopusid 25824197600
gdc.author.wosid Taskin, Bilgin/Adj-1496-2022
gdc.author.wosid Cavagnaro, Pablo/E-6091-2019
gdc.author.wosid Yildiz, Mehtap/Abu-1488-2022
gdc.author.wosid Baloch, Faheem Shehzad/Abg-8788-2020
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
gdc.description.departmenttemp [Sadik, Gokhan; Yildiz, Mehtap; Taskin, Bilgin; Kocak, Metin] Van Yuzuncu Yil Univ, Fac Agr, Dept Agr Biotechnol, TR-65080 Van, Turkiye; [Cavagnaro, Pablo Federico] Consejo Nacl Invest Cient & Tecn CONICET, RA-M5534 Lujan de Cuyo, Argentina; [Cavagnaro, Pablo Federico] Inst Nacl Tecnol Agr INTA Estn Expt Agr Mendoza, RA-M5534 Lujan de Cuyo, Argentina; [Cavagnaro, Pablo Federico] Agr Univ Krakow, Fac Biotechnol & Hort, Dept Plant Biol & Biotechnol, Krakow, Poland; [Baloch, Faheem Shehzad] Mersin Univ, Fac Sci, Dept Biol, TR-33110 Mersin, Turkiye en_US
gdc.description.endpage 3049 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 3039 en_US
gdc.description.volume 72 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.wos WOS:001303263400002
gdc.index.type WoS
gdc.index.type Scopus

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