MOLECULAR MARKER STUDIES OF SOME MEDICINAL PLANTS FOR ASSESSMENT OF GENETIC DIVERSITY AND RELATIONSHIPS

Genetic relationships between eighteen medicinal were assayed with Random Amplified Polymorphic DNA (RAPD) markers, which distinguish individuals, as well as reflecting the inherent variation and interrelationships among the medicinal plants. 13 decamer RAPD primers were used in the present study. O...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Global journal of research on medicinal plants and indigenous medicine 2012-12, Vol.1 (12), p.694-694
Hauptverfasser: Radhika, K, Sumer, Singh, Gopinath, S M, Pawan, Kumar
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 694
container_issue 12
container_start_page 694
container_title Global journal of research on medicinal plants and indigenous medicine
container_volume 1
creator Radhika, K
Sumer, Singh
Gopinath, S M
Pawan, Kumar
description Genetic relationships between eighteen medicinal were assayed with Random Amplified Polymorphic DNA (RAPD) markers, which distinguish individuals, as well as reflecting the inherent variation and interrelationships among the medicinal plants. 13 decamer RAPD primers were used in the present study. Over 77.23 reproducible bands were generated by RAPD primers, out of which, 77.23 polymorphic bands were identified, conferring 97.6% polymorphism. All the primers produced typical banding in each of the medicinal plants, suggesting the applicability of this test in medicinal plant identification. Most of the individuals of the test exhibited to have unique molecular genotype. Population genetics structure analysis of these species further revealed high genetic differentiation coefficients (Gst), the heterozygosity among populations (Ht) showed with the low gene flow (Nm) when 1stcluster was paired with other medicinal plants On the basis of these parameters and the results of cluster analysis. A dendrogram was constructed using Euclidean distance methods. Based on the number of bands the of the medicinal plants were grouped to form1-4 clusters. [PUBLICATION ABSTRACT]
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1492626155</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2922316101</sourcerecordid><originalsourceid>FETCH-LOGICAL-p615-68f2b2e04236704b7a4222f48c51383b2b410c6dc062894ae4c352f3ee77f9493</originalsourceid><addsrcrecordid>eNpdj01rgzAcxsNgsNL1OwR22UWI_8QYj0FjGxa1mHSwk6iLY8XVrq7ff47ttOfyXH48LzdoBRDHAQOR3KHNPB_JoiQBwsQKvRWVUenByBoXsn5SNbbukGllcZVjWxUKFyrTqS6lwXsjS2dxXtVYWqusLVTpfritKpXTKc70s6qtdi9YlhmulZFOV6Xd6b29R7dDO85-8-dr5HLl0l1gqq1OpQnOPIwCLgbowBMGlMeEdXHLAGBgoo9CKmgHHQtJz197wpc3rPWspxEM1Ps4HhKW0DV6_I09X6bPq5-_mo_3uffj2J78dJ2bkCXAYamKFvThH3qcrpfTMq4JaSiI4EwI-g1_aFXB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1318086488</pqid></control><display><type>article</type><title>MOLECULAR MARKER STUDIES OF SOME MEDICINAL PLANTS FOR ASSESSMENT OF GENETIC DIVERSITY AND RELATIONSHIPS</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Radhika, K ; Sumer, Singh ; Gopinath, S M ; Pawan, Kumar</creator><creatorcontrib>Radhika, K ; Sumer, Singh ; Gopinath, S M ; Pawan, Kumar</creatorcontrib><description>Genetic relationships between eighteen medicinal were assayed with Random Amplified Polymorphic DNA (RAPD) markers, which distinguish individuals, as well as reflecting the inherent variation and interrelationships among the medicinal plants. 13 decamer RAPD primers were used in the present study. Over 77.23 reproducible bands were generated by RAPD primers, out of which, 77.23 polymorphic bands were identified, conferring 97.6% polymorphism. All the primers produced typical banding in each of the medicinal plants, suggesting the applicability of this test in medicinal plant identification. Most of the individuals of the test exhibited to have unique molecular genotype. Population genetics structure analysis of these species further revealed high genetic differentiation coefficients (Gst), the heterozygosity among populations (Ht) showed with the low gene flow (Nm) when 1stcluster was paired with other medicinal plants On the basis of these parameters and the results of cluster analysis. A dendrogram was constructed using Euclidean distance methods. Based on the number of bands the of the medicinal plants were grouped to form1-4 clusters. [PUBLICATION ABSTRACT]</description><identifier>EISSN: 2277-4289</identifier><language>eng</language><publisher>Koppa: Global Journal of Research on Medicinal Plants &amp; Indigenous Medicine (GJRMI)</publisher><subject>Banding ; Cluster analysis ; Metabolites ; Studies</subject><ispartof>Global journal of research on medicinal plants and indigenous medicine, 2012-12, Vol.1 (12), p.694-694</ispartof><rights>Copyright Global Journal of Research on Medicinal Plants &amp; Indigenous Medicine (GJRMI) Dec 2012</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Radhika, K</creatorcontrib><creatorcontrib>Sumer, Singh</creatorcontrib><creatorcontrib>Gopinath, S M</creatorcontrib><creatorcontrib>Pawan, Kumar</creatorcontrib><title>MOLECULAR MARKER STUDIES OF SOME MEDICINAL PLANTS FOR ASSESSMENT OF GENETIC DIVERSITY AND RELATIONSHIPS</title><title>Global journal of research on medicinal plants and indigenous medicine</title><description>Genetic relationships between eighteen medicinal were assayed with Random Amplified Polymorphic DNA (RAPD) markers, which distinguish individuals, as well as reflecting the inherent variation and interrelationships among the medicinal plants. 13 decamer RAPD primers were used in the present study. Over 77.23 reproducible bands were generated by RAPD primers, out of which, 77.23 polymorphic bands were identified, conferring 97.6% polymorphism. All the primers produced typical banding in each of the medicinal plants, suggesting the applicability of this test in medicinal plant identification. Most of the individuals of the test exhibited to have unique molecular genotype. Population genetics structure analysis of these species further revealed high genetic differentiation coefficients (Gst), the heterozygosity among populations (Ht) showed with the low gene flow (Nm) when 1stcluster was paired with other medicinal plants On the basis of these parameters and the results of cluster analysis. A dendrogram was constructed using Euclidean distance methods. Based on the number of bands the of the medicinal plants were grouped to form1-4 clusters. [PUBLICATION ABSTRACT]</description><subject>Banding</subject><subject>Cluster analysis</subject><subject>Metabolites</subject><subject>Studies</subject><issn>2277-4289</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdj01rgzAcxsNgsNL1OwR22UWI_8QYj0FjGxa1mHSwk6iLY8XVrq7ff47ttOfyXH48LzdoBRDHAQOR3KHNPB_JoiQBwsQKvRWVUenByBoXsn5SNbbukGllcZVjWxUKFyrTqS6lwXsjS2dxXtVYWqusLVTpfritKpXTKc70s6qtdi9YlhmulZFOV6Xd6b29R7dDO85-8-dr5HLl0l1gqq1OpQnOPIwCLgbowBMGlMeEdXHLAGBgoo9CKmgHHQtJz197wpc3rPWspxEM1Ps4HhKW0DV6_I09X6bPq5-_mo_3uffj2J78dJ2bkCXAYamKFvThH3qcrpfTMq4JaSiI4EwI-g1_aFXB</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>Radhika, K</creator><creator>Sumer, Singh</creator><creator>Gopinath, S M</creator><creator>Pawan, Kumar</creator><general>Global Journal of Research on Medicinal Plants &amp; Indigenous Medicine (GJRMI)</general><scope>3V.</scope><scope>7RV</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PADUT</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20121201</creationdate><title>MOLECULAR MARKER STUDIES OF SOME MEDICINAL PLANTS FOR ASSESSMENT OF GENETIC DIVERSITY AND RELATIONSHIPS</title><author>Radhika, K ; Sumer, Singh ; Gopinath, S M ; Pawan, Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p615-68f2b2e04236704b7a4222f48c51383b2b410c6dc062894ae4c352f3ee77f9493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Banding</topic><topic>Cluster analysis</topic><topic>Metabolites</topic><topic>Studies</topic><toplevel>online_resources</toplevel><creatorcontrib>Radhika, K</creatorcontrib><creatorcontrib>Sumer, Singh</creatorcontrib><creatorcontrib>Gopinath, S M</creatorcontrib><creatorcontrib>Pawan, Kumar</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Toxicology Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Research Library China</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Global journal of research on medicinal plants and indigenous medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Radhika, K</au><au>Sumer, Singh</au><au>Gopinath, S M</au><au>Pawan, Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MOLECULAR MARKER STUDIES OF SOME MEDICINAL PLANTS FOR ASSESSMENT OF GENETIC DIVERSITY AND RELATIONSHIPS</atitle><jtitle>Global journal of research on medicinal plants and indigenous medicine</jtitle><date>2012-12-01</date><risdate>2012</risdate><volume>1</volume><issue>12</issue><spage>694</spage><epage>694</epage><pages>694-694</pages><eissn>2277-4289</eissn><abstract>Genetic relationships between eighteen medicinal were assayed with Random Amplified Polymorphic DNA (RAPD) markers, which distinguish individuals, as well as reflecting the inherent variation and interrelationships among the medicinal plants. 13 decamer RAPD primers were used in the present study. Over 77.23 reproducible bands were generated by RAPD primers, out of which, 77.23 polymorphic bands were identified, conferring 97.6% polymorphism. All the primers produced typical banding in each of the medicinal plants, suggesting the applicability of this test in medicinal plant identification. Most of the individuals of the test exhibited to have unique molecular genotype. Population genetics structure analysis of these species further revealed high genetic differentiation coefficients (Gst), the heterozygosity among populations (Ht) showed with the low gene flow (Nm) when 1stcluster was paired with other medicinal plants On the basis of these parameters and the results of cluster analysis. A dendrogram was constructed using Euclidean distance methods. Based on the number of bands the of the medicinal plants were grouped to form1-4 clusters. [PUBLICATION ABSTRACT]</abstract><cop>Koppa</cop><pub>Global Journal of Research on Medicinal Plants &amp; Indigenous Medicine (GJRMI)</pub><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2277-4289
ispartof Global journal of research on medicinal plants and indigenous medicine, 2012-12, Vol.1 (12), p.694-694
issn 2277-4289
language eng
recordid cdi_proquest_miscellaneous_1492626155
source EZB-FREE-00999 freely available EZB journals
subjects Banding
Cluster analysis
Metabolites
Studies
title MOLECULAR MARKER STUDIES OF SOME MEDICINAL PLANTS FOR ASSESSMENT OF GENETIC DIVERSITY AND RELATIONSHIPS
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T16%3A33%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MOLECULAR%20MARKER%20STUDIES%20OF%20SOME%20MEDICINAL%20PLANTS%20FOR%20ASSESSMENT%20OF%20GENETIC%20DIVERSITY%20AND%20RELATIONSHIPS&rft.jtitle=Global%20journal%20of%20research%20on%20medicinal%20plants%20and%20indigenous%20medicine&rft.au=Radhika,%20K&rft.date=2012-12-01&rft.volume=1&rft.issue=12&rft.spage=694&rft.epage=694&rft.pages=694-694&rft.eissn=2277-4289&rft_id=info:doi/&rft_dat=%3Cproquest%3E2922316101%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1318086488&rft_id=info:pmid/&rfr_iscdi=true