RAJENDER KUMAR, D C DIMRI, KANCHAN KARKI, K M RAI, N K SINGH, JITENDRA SINGH SHIVRAN, SWAPNIL BHARTI
{"title":"SSR marker based profiling and population structure analysis in peach (Prunus persica) germplasm","authors":"RAJENDER KUMAR, D C DIMRI, KANCHAN KARKI, K M RAI, N K SINGH, JITENDRA SINGH SHIVRAN, SWAPNIL BHARTI","doi":"10.56093/ijas.v93i10.132658","DOIUrl":null,"url":null,"abstract":"For breeding programmes to be successful and for germplasm conservation, it is essential to characterize and analyze the genetic diversity of available germplasm. The present experiment was conducted at Molecular Biology and Genetic Engineering Laboratory of Uttarakhand Council for Biotechnology, Haldi, Uttarakhand during 2022 to study the molecular profile of 41 peach [Prunus persica (L.) Stokes] accessions using 23 polymorphic SSR markers. The number of alleles detected ranged from 3 to 8 with an average of 4.65 alleles per locus (Na) and a total of 107 alleles were amplified. The average effective number of alleles (Ne) were 2.89 per marker. The SSR marker MA015a produced maximum number of 8 alleles followed by BPPCT 015 and CPPCT14 which produced 7 alleles each. The polymorphic information content (PIC) varied between 0.317–0.836 with a mean value of 0.563. The observed heterozygosity examined was lower (Ho = 0.02) and the expected heterozygosity (He = 0.61) ranged between 0.34 to 0.85. The presence of a higher Shannon’s information index (I) of 1.17 indicates higher diversity in the given set of peach genotypes. Jaccard’s similarity coefficient ranging from 0.533 to 1, indicated a pair-wise relationship among the peach accessions. The cluster dendrogram partitioned the accessions into two main clusters. However, the total accessions were stratified into 3 groups (K=3) based on population structure analysis which was further confirmed by Principal Coordinate Analysis (PCoA). The information generated in the study may have great implications in molecular characterization, fingerprinting and documentation of accessions in the peach improvement programme.","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Agricultural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56093/ijas.v93i10.132658","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
For breeding programmes to be successful and for germplasm conservation, it is essential to characterize and analyze the genetic diversity of available germplasm. The present experiment was conducted at Molecular Biology and Genetic Engineering Laboratory of Uttarakhand Council for Biotechnology, Haldi, Uttarakhand during 2022 to study the molecular profile of 41 peach [Prunus persica (L.) Stokes] accessions using 23 polymorphic SSR markers. The number of alleles detected ranged from 3 to 8 with an average of 4.65 alleles per locus (Na) and a total of 107 alleles were amplified. The average effective number of alleles (Ne) were 2.89 per marker. The SSR marker MA015a produced maximum number of 8 alleles followed by BPPCT 015 and CPPCT14 which produced 7 alleles each. The polymorphic information content (PIC) varied between 0.317–0.836 with a mean value of 0.563. The observed heterozygosity examined was lower (Ho = 0.02) and the expected heterozygosity (He = 0.61) ranged between 0.34 to 0.85. The presence of a higher Shannon’s information index (I) of 1.17 indicates higher diversity in the given set of peach genotypes. Jaccard’s similarity coefficient ranging from 0.533 to 1, indicated a pair-wise relationship among the peach accessions. The cluster dendrogram partitioned the accessions into two main clusters. However, the total accessions were stratified into 3 groups (K=3) based on population structure analysis which was further confirmed by Principal Coordinate Analysis (PCoA). The information generated in the study may have great implications in molecular characterization, fingerprinting and documentation of accessions in the peach improvement programme.
期刊介绍:
The Indian Journal of Agricultural Sciences publishes papers concerned with the advancement of agriculture throughout the world. It publishes original scientific work related to strategic and applied studies in all aspects of agricultural science and exploited species, as well as reviews of scientific topics of current agricultural relevance.
Specific topics of interest include (but are not confined to): genetic resources, all aspects of crop improvement,crop production,crop protection, physiology, modeling of crop systems, the scientific underpinning of agronomy, engineering solutions, decision support systems, land use, environmental impacts of agriculture and forestry, impacts of climate change, rural biodiversity, experimental design and statistical analysis, the application of new analytical and study methods (including molecular studies) and agricultural economics. The journal also publishes book reviews.
Articles are accepted on the following broad disciplines:
Agric. Engineering & Technology, Agric. Social & Economic Sci., Agronomy, Biometry, Biosciences, Cytology, Ecology, Environmental Sciences, Fertilization, Forestry , Genetics, Horticultural Sciences, Microbiology, Pest, Weed Control etc., Molecular Biology, Plant Pathology, Plant Breeding, Physiology and Biochemistry, Soil Sciences, Special Cultivation Technology, Stress Breeding, Agric. extension, and Cell Biology.