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Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean

Increase in food production viz-a-viz quality of food is important to feed the growing human population to attain food as well as nutritional security. The availability of diverse germplasm of any crop is an important genetic resource to mine the genes that may assist in attaining food as well as nu...

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Autores principales: Zargar, Sajad Majeed, Farhat, Sufia, Mahajan, Reetika, Bhakhri, Ayushi, Sharma, Arjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705283/
https://www.ncbi.nlm.nih.gov/pubmed/26858551
http://dx.doi.org/10.1016/j.sjbs.2014.11.011
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author Zargar, Sajad Majeed
Farhat, Sufia
Mahajan, Reetika
Bhakhri, Ayushi
Sharma, Arjun
author_facet Zargar, Sajad Majeed
Farhat, Sufia
Mahajan, Reetika
Bhakhri, Ayushi
Sharma, Arjun
author_sort Zargar, Sajad Majeed
collection PubMed
description Increase in food production viz-a-viz quality of food is important to feed the growing human population to attain food as well as nutritional security. The availability of diverse germplasm of any crop is an important genetic resource to mine the genes that may assist in attaining food as well as nutritional security. Here we used 15 RAPD and 23 SSR markers to elucidate diversity among 51 common bean genotypes mostly landraces collected from the Himalayan region of Jammu and Kashmir, India. We observed that both the markers are highly polymorphic. The discriminatory power of these markers was determined using various parameters like; percent polymorphism, PIC, resolving power and marker index. 15 RAPDs produced 171 polymorphic bands, while 23 SSRs produced 268 polymorphic bands. SSRs showed a higher PIC value (0.300) compared to RAPDs (0.243). Further the resolving power of SSRs was 5.241 compared to 3.86 for RAPDs. However, RAPDs showed a higher marker index (2.69) compared to SSRs (1.279) that may be attributed to their higher multiplex ratio. The dendrograms generated with hierarchical UPGMA cluster analysis grouped genotypes into two main clusters with various degrees of sub clustering within the cluster. Here we observed that both the marker systems showed comparable accuracy in grouping genotypes of common bean according to their area of cultivation. The model based STRUCTURE analysis using 15 RAPD and 23 SSR markers identified a population with 3 sub-populations which corresponds to distance based groupings. High level of genetic diversity was observed within the population. These findings have further implications in common bean breeding as well as conservation programs.
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spelling pubmed-47052832016-02-08 Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean Zargar, Sajad Majeed Farhat, Sufia Mahajan, Reetika Bhakhri, Ayushi Sharma, Arjun Saudi J Biol Sci Original Article Increase in food production viz-a-viz quality of food is important to feed the growing human population to attain food as well as nutritional security. The availability of diverse germplasm of any crop is an important genetic resource to mine the genes that may assist in attaining food as well as nutritional security. Here we used 15 RAPD and 23 SSR markers to elucidate diversity among 51 common bean genotypes mostly landraces collected from the Himalayan region of Jammu and Kashmir, India. We observed that both the markers are highly polymorphic. The discriminatory power of these markers was determined using various parameters like; percent polymorphism, PIC, resolving power and marker index. 15 RAPDs produced 171 polymorphic bands, while 23 SSRs produced 268 polymorphic bands. SSRs showed a higher PIC value (0.300) compared to RAPDs (0.243). Further the resolving power of SSRs was 5.241 compared to 3.86 for RAPDs. However, RAPDs showed a higher marker index (2.69) compared to SSRs (1.279) that may be attributed to their higher multiplex ratio. The dendrograms generated with hierarchical UPGMA cluster analysis grouped genotypes into two main clusters with various degrees of sub clustering within the cluster. Here we observed that both the marker systems showed comparable accuracy in grouping genotypes of common bean according to their area of cultivation. The model based STRUCTURE analysis using 15 RAPD and 23 SSR markers identified a population with 3 sub-populations which corresponds to distance based groupings. High level of genetic diversity was observed within the population. These findings have further implications in common bean breeding as well as conservation programs. Elsevier 2016-01 2014-11-18 /pmc/articles/PMC4705283/ /pubmed/26858551 http://dx.doi.org/10.1016/j.sjbs.2014.11.011 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Original Article
Zargar, Sajad Majeed
Farhat, Sufia
Mahajan, Reetika
Bhakhri, Ayushi
Sharma, Arjun
Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean
title Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean
title_full Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean
title_fullStr Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean
title_full_unstemmed Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean
title_short Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean
title_sort unraveling the efficiency of rapd and ssr markers in diversity analysis and population structure estimation in common bean
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705283/
https://www.ncbi.nlm.nih.gov/pubmed/26858551
http://dx.doi.org/10.1016/j.sjbs.2014.11.011
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