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

被引:1
|
作者
Sadik, Gokhan [1 ]
Yildiz, Mehtap [1 ]
Taskin, Bilgin [1 ]
Kocak, Metin [1 ]
Cavagnaro, Pablo Federico [2 ,3 ,4 ]
Baloch, Faheem Shehzad [5 ]
机构
[1] Van Yuzuncu Yil Univ, Fac Agr, Dept Agr Biotechnol, TR-65080 Van, Turkiye
[2] Consejo Nacl Invest Cient & Tecn CONICET, RA-M5534 Lujan de Cuyo, Argentina
[3] Inst Nacl Tecnol Agr INTA Estn Expt Agr Mendoza, RA-M5534 Lujan de Cuyo, Argentina
[4] Agr Univ Krakow, Fac Biotechnol & Hort, Dept Plant Biol & Biotechnol, Krakow, Poland
[5] Mersin Univ, Fac Sci, Dept Biol, TR-33110 Mersin, Turkiye
基金
美国农业部;
关键词
Germplasm; Sugar beet; iPBS; Genetic diversity; GENOTYPES; ACCESSIONS; VARIETIES; SOFTWARE; TRAITS; WILD; RAPD;
D O I
10.1007/s10722-024-02148-3
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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.
引用
收藏
页码:3039 / 3049
页数:11
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