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Simple and efficient way to detect small polymorphic bands in plants
There are many ways to detect polymorphism. In this study we use the microsatellite markers to detect the polymorphism for the salt tolerance. This method has been successfully conducted in Oryza sativa and Brassica juncea. The results are reproducible. In contrast to previous methods, our method is...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583843/ https://www.ncbi.nlm.nih.gov/pubmed/26484259 http://dx.doi.org/10.1016/j.gdata.2015.06.006 |
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author | Kumar, Manu Kim, Seong Ryong Sharma, Prabodh Chander Pareek, Ashwani |
author_facet | Kumar, Manu Kim, Seong Ryong Sharma, Prabodh Chander Pareek, Ashwani |
author_sort | Kumar, Manu |
collection | PubMed |
description | There are many ways to detect polymorphism. In this study we use the microsatellite markers to detect the polymorphism for the salt tolerance. This method has been successfully conducted in Oryza sativa and Brassica juncea. The results are reproducible. In contrast to previous methods, our method is simple and quite accurate for detecting the polymorphic bands. In this study instead of using agarose gel and ethidium bromide staining, we used non-denaturing polyacrylamide gel and a low-cost improved method for silver staining when we compare it to 11 other methods for their ability to detect simple sequence repeat polymorphisms as small as 50 bp in denaturing polyacrylamide gels. All methods detected the same alleles and banding pattern. However, important differences in sensitivity, contrast, time consumption and background were observed. |
format | Online Article Text |
id | pubmed-4583843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45838432015-10-19 Simple and efficient way to detect small polymorphic bands in plants Kumar, Manu Kim, Seong Ryong Sharma, Prabodh Chander Pareek, Ashwani Genom Data Regular Article There are many ways to detect polymorphism. In this study we use the microsatellite markers to detect the polymorphism for the salt tolerance. This method has been successfully conducted in Oryza sativa and Brassica juncea. The results are reproducible. In contrast to previous methods, our method is simple and quite accurate for detecting the polymorphic bands. In this study instead of using agarose gel and ethidium bromide staining, we used non-denaturing polyacrylamide gel and a low-cost improved method for silver staining when we compare it to 11 other methods for their ability to detect simple sequence repeat polymorphisms as small as 50 bp in denaturing polyacrylamide gels. All methods detected the same alleles and banding pattern. However, important differences in sensitivity, contrast, time consumption and background were observed. Elsevier 2015-06-11 /pmc/articles/PMC4583843/ /pubmed/26484259 http://dx.doi.org/10.1016/j.gdata.2015.06.006 Text en © 2015 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 | Regular Article Kumar, Manu Kim, Seong Ryong Sharma, Prabodh Chander Pareek, Ashwani Simple and efficient way to detect small polymorphic bands in plants |
title | Simple and efficient way to detect small polymorphic bands in plants |
title_full | Simple and efficient way to detect small polymorphic bands in plants |
title_fullStr | Simple and efficient way to detect small polymorphic bands in plants |
title_full_unstemmed | Simple and efficient way to detect small polymorphic bands in plants |
title_short | Simple and efficient way to detect small polymorphic bands in plants |
title_sort | simple and efficient way to detect small polymorphic bands in plants |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583843/ https://www.ncbi.nlm.nih.gov/pubmed/26484259 http://dx.doi.org/10.1016/j.gdata.2015.06.006 |
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