Population Genetics Coupled Chemical Profiling for Conservation Implications of Decalepis salicifolia (Bedd. ex Hook.f.) Venter, an Endemic and Critically Endangered Species of Western Ghats, India
| Autor: | Ashutosh K. Shukla, Vereena Rodrigues, Velusamy Sundaresan, Amit Kumar, Ram S. Verma, Sivaraman Gokul |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
In situ conservation DNA Plant Genotype Population Endangered species India Population genetics Zoology Biology Plant Roots Biochemistry Analysis of molecular variance 03 medical and health sciences Critically endangered 0302 clinical medicine Genetic variation Oils Volatile Genetics Animals Cluster Analysis Plant Oils education Molecular Biology Ecology Evolution Behavior and Systematics Principal Component Analysis education.field_of_study Genetic diversity Polymorphism Genetic Plant Extracts Endangered Species Bayes Theorem General Medicine Apocynaceae Plant Leaves 030104 developmental biology Genetic Loci 030220 oncology & carcinogenesis Microsatellite Repeats |
| Zdroj: | Biochemical Genetics. 58:452-472 |
| ISSN: | 1573-4927 0006-2928 |
| DOI: | 10.1007/s10528-020-09958-x |
| Popis: | Information on the genetic diversity and population structure is essential for developing conservational management programs, especially for threatened species. Decalepis salicifolia (Bedd. ex Hook.f.) Venter is a steno-endemic and critically endangered species of the south Western Ghats of India. The present study used ISSR markers as well as essential oil profiling to reveal the extent and distribution of genetic as well as the chemical diversity of all the twelve known populations of D. salicifolia. A total of 84 amplicons generated using 17 ISSR primers represented an overall 72.34% polymorphism. The highest percentage of polymorphic loci was recorded in the population of Theemalai (40.48%) and lowest in Kokanmalai (4.76%) with an average of 20.04% across all the studied populations. At the species level, the Nei’s genetic diversity observed was 0.255 ± 0.186, while Shannon’s information index observed was 0.385 ± 0.260. The genetic similarity-based unweighted pair-group method with arithmetic average dendrogram grouped the populations according to their geographic locations, which was corroborated by principal component analysis and Bayesian clustering. Distribution of genetic variance through analysis of molecular variance indicated that 38% variance resides within the population, and 62% variance resides among the populations (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink