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Early selective strategies for higher yielding bio-economic Indian ginseng based on genotypic study through metabolic and molecular markers
Applying biotechnological tools to the selection of higher-yielding bioeconomic crops is a promising and remarkable means of reducing the burden on production on a global scale. In the present study, 25 germplasms of Indian ginseng (Withania somnifera (L.) Dunal) were examined for their genetic dive...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073062/ https://www.ncbi.nlm.nih.gov/pubmed/35531148 http://dx.doi.org/10.1016/j.sjbs.2022.01.030 |
Sumario: | Applying biotechnological tools to the selection of higher-yielding bioeconomic crops is a promising and remarkable means of reducing the burden on production on a global scale. In the present study, 25 germplasms of Indian ginseng (Withania somnifera (L.) Dunal) were examined for their genetic diversity by using morphological, biochemical, and molecular markers for twenty plant growth traits. The properties of plant growth differed significantly in the maximum genotypes of Indian ginseng, the markers of randomly amplified polymorphic DNA (RAPD), and inter simple sequence repeat (ISSR) showed considerable diversity between the genotypes. The combined unweighted pair group technique with arithmetic mean (UPGMA) dendrogram of morphological, biochemical, and molecular markers grouped all 25 genotypes into two main clusters at 0.61 coefficient value. In addition to this, secondary metabolite profiling by high-performance liquid chromatography (HPLC), there were high variations for withanolide B (WL-B), withanoside-V (WS-V), wedelolactone (WDL), withanoside-IV (WS-IV), and withaferin A (WF-A) content between different genotypes. For the total alkaloid and withanolide concentration in the roots and leaves, high heritability with an increased genetic gain was observed, indicating that selection based on these traits could be an effective method in breeding programs. Furthermore, the path coefficient analysis showed a direct positive impact of the total root fiber, WL-B (leaves), WF-A (leaves), WS-IV (roots), WDL (roots), and the total alkaloid content on the dry root yield. High content of WDL, a high-quality bioactive withanolide, was also described for the first time in the genotype UWS23. These properties can further be exploited to improve the dry root yield in W. somnifera genotypes. The outcomes of the present study also provide an essential foundation for the selection of high-yielding bioeconomic varieties that could be utilized to improve Ashwagandha breeding programs. |
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