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PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers
Analysis of repetitive DNA sequence content and divergence among the repetitive functional classes is a well-accepted approach for estimation of inter- and intra-generic differences in plant genomes. Among these elements, microsatellites, or Simple Sequence Repeats (SSRs), have been widely demonstra...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922199/ https://www.ncbi.nlm.nih.gov/pubmed/27446111 http://dx.doi.org/10.3389/fpls.2016.00878 |
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author | Sablok, Gaurav Pérez-Pulido, Antonio J. Do, Thac Seong, Tan Y. Casimiro-Soriguer, Carlos S. La Porta, Nicola Ralph, Peter J. Squartini, Andrea Muñoz-Merida, Antonio Harikrishna, Jennifer A. |
author_facet | Sablok, Gaurav Pérez-Pulido, Antonio J. Do, Thac Seong, Tan Y. Casimiro-Soriguer, Carlos S. La Porta, Nicola Ralph, Peter J. Squartini, Andrea Muñoz-Merida, Antonio Harikrishna, Jennifer A. |
author_sort | Sablok, Gaurav |
collection | PubMed |
description | Analysis of repetitive DNA sequence content and divergence among the repetitive functional classes is a well-accepted approach for estimation of inter- and intra-generic differences in plant genomes. Among these elements, microsatellites, or Simple Sequence Repeats (SSRs), have been widely demonstrated as powerful genetic markers for species and varieties discrimination. We present PlantFuncSSRs platform having more than 364 plant species with more than 2 million functional SSRs. They are provided with detailed annotations for easy functional browsing of SSRs and with information on primer pairs and associated functional domains. PlantFuncSSRs can be leveraged to identify functional-based genic variability among the species of interest, which might be of particular interest in developing functional markers in plants. This comprehensive on-line portal unifies mining of SSRs from first and next generation sequencing datasets, corresponding primer pairs and associated in-depth functional annotation such as gene ontology annotation, gene interactions and its identification from reference protein databases. PlantFuncSSRs is freely accessible at: http://www.bioinfocabd.upo.es/plantssr. |
format | Online Article Text |
id | pubmed-4922199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49221992016-07-21 PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers Sablok, Gaurav Pérez-Pulido, Antonio J. Do, Thac Seong, Tan Y. Casimiro-Soriguer, Carlos S. La Porta, Nicola Ralph, Peter J. Squartini, Andrea Muñoz-Merida, Antonio Harikrishna, Jennifer A. Front Plant Sci Plant Science Analysis of repetitive DNA sequence content and divergence among the repetitive functional classes is a well-accepted approach for estimation of inter- and intra-generic differences in plant genomes. Among these elements, microsatellites, or Simple Sequence Repeats (SSRs), have been widely demonstrated as powerful genetic markers for species and varieties discrimination. We present PlantFuncSSRs platform having more than 364 plant species with more than 2 million functional SSRs. They are provided with detailed annotations for easy functional browsing of SSRs and with information on primer pairs and associated functional domains. PlantFuncSSRs can be leveraged to identify functional-based genic variability among the species of interest, which might be of particular interest in developing functional markers in plants. This comprehensive on-line portal unifies mining of SSRs from first and next generation sequencing datasets, corresponding primer pairs and associated in-depth functional annotation such as gene ontology annotation, gene interactions and its identification from reference protein databases. PlantFuncSSRs is freely accessible at: http://www.bioinfocabd.upo.es/plantssr. Frontiers Media S.A. 2016-06-27 /pmc/articles/PMC4922199/ /pubmed/27446111 http://dx.doi.org/10.3389/fpls.2016.00878 Text en Copyright © 2016 Sablok, Pérez-Pulido, Do, Seong, Casimiro-Soriguer, La Porta, Ralph, Squartini, Muñoz-Merida and Harikrishna. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Sablok, Gaurav Pérez-Pulido, Antonio J. Do, Thac Seong, Tan Y. Casimiro-Soriguer, Carlos S. La Porta, Nicola Ralph, Peter J. Squartini, Andrea Muñoz-Merida, Antonio Harikrishna, Jennifer A. PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers |
title | PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers |
title_full | PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers |
title_fullStr | PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers |
title_full_unstemmed | PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers |
title_short | PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers |
title_sort | plantfuncssr: integrating first and next generation transcriptomics for mining of ssr-functional domains markers |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922199/ https://www.ncbi.nlm.nih.gov/pubmed/27446111 http://dx.doi.org/10.3389/fpls.2016.00878 |
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