{"title":"Exploration of Genetic Variation and Population Structure in Bergenia ciliata for its Conservation Implications.","authors":"Harish Chandra Singh, Vandana Tiwari, Baleshwar Meena, Avinash Tiwari, Tikam Singh Rana","doi":"10.1007/s10528-024-10908-0","DOIUrl":null,"url":null,"abstract":"<p><p>Bergenia ciliata (Haw.) Sternb. is a perennial medicinal herb distributed in Indian Himalayan Region (IHR). A total of eight populations of B. ciliata were collected from diverse locales of IHR, and 17 EST-SSR markers were used in this study. The present study revealed moderate genetic diversity at the locus level with the mean number of alleles (Na = 7.823), mean number effective of alleles (Ne = 3.375), mean expected heterozygosity (He = 0.570), and mean Shannon's diversity index (I = 1.264). The MSR (He = 0.543, I = 1.067) and DRJ populations (He = 0.309, I = 0.519) revealed the highest and lowest genetic diversity at the population level, respectively. AMOVA analysis showed that 81.76% of genetic variation was within populations, 10.55% was among populations, and 7.69% was among the regions. In addition, a moderate to high level of differentiation was found among the populations (F<sub>ST</sub> = 0.182), which could be indicative of low to moderate gene flow (Nm = 0.669) in the B. ciliata populations. UPGMA and PCoA analysis revealed that eight populations could be differentiated into two groups, while the structure analysis of the 96 individuals differentiated into three groups. The Mantel test showed a positive relationship between genetic and geographical distance. The findings of this study will provide the development of conservation and germplasm management strategies for this valuable medicinal species.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-024-10908-0","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Bergenia ciliata (Haw.) Sternb. is a perennial medicinal herb distributed in Indian Himalayan Region (IHR). A total of eight populations of B. ciliata were collected from diverse locales of IHR, and 17 EST-SSR markers were used in this study. The present study revealed moderate genetic diversity at the locus level with the mean number of alleles (Na = 7.823), mean number effective of alleles (Ne = 3.375), mean expected heterozygosity (He = 0.570), and mean Shannon's diversity index (I = 1.264). The MSR (He = 0.543, I = 1.067) and DRJ populations (He = 0.309, I = 0.519) revealed the highest and lowest genetic diversity at the population level, respectively. AMOVA analysis showed that 81.76% of genetic variation was within populations, 10.55% was among populations, and 7.69% was among the regions. In addition, a moderate to high level of differentiation was found among the populations (FST = 0.182), which could be indicative of low to moderate gene flow (Nm = 0.669) in the B. ciliata populations. UPGMA and PCoA analysis revealed that eight populations could be differentiated into two groups, while the structure analysis of the 96 individuals differentiated into three groups. The Mantel test showed a positive relationship between genetic and geographical distance. The findings of this study will provide the development of conservation and germplasm management strategies for this valuable medicinal species.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.