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Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree
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-...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728264/ https://www.ncbi.nlm.nih.gov/pubmed/31516922 http://dx.doi.org/10.1016/j.dib.2019.104173 |
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author | Hegde, Satisha Pai, Sandeep Ramchandra Bhagwat, Rasika M. Saini, Archana Rathore, Poonam Kanwar Jalalpure, Sunil Satyappa Hegde, Harsha Vasudev Sugunan, Attayoor Purushottaman Gupta, Vidya S. Kholkute, Sanjiva D. Roy, Subarna |
author_facet | Hegde, Satisha Pai, Sandeep Ramchandra Bhagwat, Rasika M. Saini, Archana Rathore, Poonam Kanwar Jalalpure, Sunil Satyappa Hegde, Harsha Vasudev Sugunan, Attayoor Purushottaman Gupta, Vidya S. Kholkute, Sanjiva D. Roy, Subarna |
author_sort | Hegde, Satisha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6728264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67282642019-09-12 Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree Hegde, Satisha Pai, Sandeep Ramchandra Bhagwat, Rasika M. Saini, Archana Rathore, Poonam Kanwar Jalalpure, Sunil Satyappa Hegde, Harsha Vasudev Sugunan, Attayoor Purushottaman Gupta, Vidya S. Kholkute, Sanjiva D. Roy, Subarna Data Brief Biochemistry, Genetics and Molecular Biology 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. Elsevier 2019-06-25 /pmc/articles/PMC6728264/ /pubmed/31516922 http://dx.doi.org/10.1016/j.dib.2019.104173 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Hegde, Satisha Pai, Sandeep Ramchandra Bhagwat, Rasika M. Saini, Archana Rathore, Poonam Kanwar Jalalpure, Sunil Satyappa Hegde, Harsha Vasudev Sugunan, Attayoor Purushottaman Gupta, Vidya S. Kholkute, Sanjiva D. Roy, Subarna Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree |
title | Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree |
title_full | Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree |
title_fullStr | Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree |
title_full_unstemmed | Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree |
title_short | Population genetic and phytochemical dataset of Saraca asoca: A traditionally important medicinal tree |
title_sort | population genetic and phytochemical dataset of saraca asoca: a traditionally important medicinal tree |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728264/ https://www.ncbi.nlm.nih.gov/pubmed/31516922 http://dx.doi.org/10.1016/j.dib.2019.104173 |
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