Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree
Autor: | Vidya S. Gupta, Archana Saini, Harsha V. Hegde, Attayoor P. Sugunan, Subarna Roy, Rasika M. Bhagwat, Satisha Hegde, Poonam Kanwar Rathore, Sandeep R. Pai, Sanjiva D. Kholkute, Sunil Jalalpure |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Western ghats
Population genetics Population Conservation Biology lcsh:Computer applications to medicine. Medical informatics Genetic diversity 03 medical and health sciences 0302 clinical medicine Chemical profiling Biochemistry Genetics and Molecular Biology Statistical analysis education lcsh:Science (General) 030304 developmental biology 0303 health sciences education.field_of_study Multidisciplinary Traditional medicine Saraca asoca biology.organism_classification Population variability Tree (data structure) Phytochemical lcsh:R858-859.7 030217 neurology & neurosurgery lcsh:Q1-390 |
Zdroj: | Data in Brief, Vol 25, Iss, Pp-(2019) Data in Brief |
ISSN: | 2352-3409 |
Popis: | The data presented in this article is in support of the research paper “Genetic and phytochemical investigations for understanding population variability of the medicinally important tree Saraca asoca to help develop conservation strategies” Hegde et al., 2018. This article provides PCR based Inter-Simple Sequence Repeat (ISSR) and HPLC datasets of 106 individual samples of Saraca asoca collected from various geographical ranges of the Western Ghats of India. The ISSR data includes information on genetic diversity and images of population structures generated through amplified DNA products from samples of Saraca asoca leaf. Phytochemical data obtained from HPLC includes concentration (mg/g) of gallic acid (GA), catechin (CAT), and epicatechin (EPI). The data also presents information obtained from various statistical analysis viz. standard error of the mean values, distribution variables, prediction accuracy, and multiple logistic regression analysis. Keywords: Chemical profiling, Conservation, Genetic diversity, Population genetics, Statistical analysis, Western ghats |
Databáze: | OpenAIRE |
Externí odkaz: |