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Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis
Simple Sequence Repeats (SSRs) developed from Expressed Sequence Tags (ESTs), known as EST-SSRs are most widely used and potentially valuable source of gene based markers for their high levels of crosstaxon portability, rapid and less expensive development. The EST sequence information in the public...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321235/ https://www.ncbi.nlm.nih.gov/pubmed/22493533 http://dx.doi.org/10.6026/97320630008260 |
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author | Sahu, Jagajjit Sarmah, Ranjan Dehury, Budheswar Sarma, Kishore Sahoo, Smita Sahu, Mousumi Barooah, Madhumita Modi, Mahendra Kumar Sen, Priyabrata |
author_facet | Sahu, Jagajjit Sarmah, Ranjan Dehury, Budheswar Sarma, Kishore Sahoo, Smita Sahu, Mousumi Barooah, Madhumita Modi, Mahendra Kumar Sen, Priyabrata |
author_sort | Sahu, Jagajjit |
collection | PubMed |
description | Simple Sequence Repeats (SSRs) developed from Expressed Sequence Tags (ESTs), known as EST-SSRs are most widely used and potentially valuable source of gene based markers for their high levels of crosstaxon portability, rapid and less expensive development. The EST sequence information in the publicly available databases is increasing in a faster rate. The emerging computational approach provides a better alternative process of development of SSR markers from the ESTs than the conventional methods. In the present study, 12,851 EST sequences of Camellia sinensis, downloaded from National Center for Biotechnology Information (NCBI) were mined for the development of Microsatellites. 6148 (4779 singletons and 1369 contigs) non redundant EST sequences were found after preprocessing and assembly of these sequences using various computational tools. Out of total 3822.68 kb sequence examined, 1636 (26.61%) EST sequences containing 2371 SSRs were detected with a density of 1 SSR/1.61 kb leading to development of 245 primer pairs. These mined EST-SSR markers will help further in the study of variability, mapping, evolutionary relationship in Camellia sinensis. In addition, these developed SSRs can also be applied for various studies across species. |
format | Online Article Text |
id | pubmed-3321235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-33212352012-04-10 Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis Sahu, Jagajjit Sarmah, Ranjan Dehury, Budheswar Sarma, Kishore Sahoo, Smita Sahu, Mousumi Barooah, Madhumita Modi, Mahendra Kumar Sen, Priyabrata Bioinformation Hypothesis Simple Sequence Repeats (SSRs) developed from Expressed Sequence Tags (ESTs), known as EST-SSRs are most widely used and potentially valuable source of gene based markers for their high levels of crosstaxon portability, rapid and less expensive development. The EST sequence information in the publicly available databases is increasing in a faster rate. The emerging computational approach provides a better alternative process of development of SSR markers from the ESTs than the conventional methods. In the present study, 12,851 EST sequences of Camellia sinensis, downloaded from National Center for Biotechnology Information (NCBI) were mined for the development of Microsatellites. 6148 (4779 singletons and 1369 contigs) non redundant EST sequences were found after preprocessing and assembly of these sequences using various computational tools. Out of total 3822.68 kb sequence examined, 1636 (26.61%) EST sequences containing 2371 SSRs were detected with a density of 1 SSR/1.61 kb leading to development of 245 primer pairs. These mined EST-SSR markers will help further in the study of variability, mapping, evolutionary relationship in Camellia sinensis. In addition, these developed SSRs can also be applied for various studies across species. Biomedical Informatics 2012-03-31 /pmc/articles/PMC3321235/ /pubmed/22493533 http://dx.doi.org/10.6026/97320630008260 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Sahu, Jagajjit Sarmah, Ranjan Dehury, Budheswar Sarma, Kishore Sahoo, Smita Sahu, Mousumi Barooah, Madhumita Modi, Mahendra Kumar Sen, Priyabrata Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis |
title | Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis |
title_full | Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis |
title_fullStr | Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis |
title_full_unstemmed | Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis |
title_short | Mining for SSRs and FDMs from expressed sequence tags of Camellia sinensis |
title_sort | mining for ssrs and fdms from expressed sequence tags of camellia sinensis |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321235/ https://www.ncbi.nlm.nih.gov/pubmed/22493533 http://dx.doi.org/10.6026/97320630008260 |
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