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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...

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Autores principales: Sahu, Jagajjit, Sarmah, Ranjan, Dehury, Budheswar, Sarma, Kishore, Sahoo, Smita, Sahu, Mousumi, Barooah, Madhumita, Modi, Mahendra Kumar, Sen, Priyabrata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
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.
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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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