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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
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.
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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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