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Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants

Microsatellites, or simple sequence repeats (SSRs), are one of the most informative and multi-purpose genetic markers exploited in plant functional genomics. However, the discovery of SSRs and development using traditional methods are laborious, time-consuming, and costly. Recently, the availability...

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Autores principales: Taheri, Sima, Lee Abdullah, Thohirah, Yusop, Mohd Rafii, Hanafi, Mohamed Musa, Sahebi, Mahbod, Azizi, Parisa, Shamshiri, Redmond Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017569/
https://www.ncbi.nlm.nih.gov/pubmed/29438290
http://dx.doi.org/10.3390/molecules23020399
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author Taheri, Sima
Lee Abdullah, Thohirah
Yusop, Mohd Rafii
Hanafi, Mohamed Musa
Sahebi, Mahbod
Azizi, Parisa
Shamshiri, Redmond Ramin
author_facet Taheri, Sima
Lee Abdullah, Thohirah
Yusop, Mohd Rafii
Hanafi, Mohamed Musa
Sahebi, Mahbod
Azizi, Parisa
Shamshiri, Redmond Ramin
author_sort Taheri, Sima
collection PubMed
description Microsatellites, or simple sequence repeats (SSRs), are one of the most informative and multi-purpose genetic markers exploited in plant functional genomics. However, the discovery of SSRs and development using traditional methods are laborious, time-consuming, and costly. Recently, the availability of high-throughput sequencing technologies has enabled researchers to identify a substantial number of microsatellites at less cost and effort than traditional approaches. Illumina is a noteworthy transcriptome sequencing technology that is currently used in SSR marker development. Although 454 pyrosequencing datasets can be used for SSR development, this type of sequencing is no longer supported. This review aims to present an overview of the next generation sequencing, with a focus on the efficient use of de novo transcriptome sequencing (RNA-Seq) and related tools for mining and development of microsatellites in plants.
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spelling pubmed-60175692018-11-13 Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants Taheri, Sima Lee Abdullah, Thohirah Yusop, Mohd Rafii Hanafi, Mohamed Musa Sahebi, Mahbod Azizi, Parisa Shamshiri, Redmond Ramin Molecules Review Microsatellites, or simple sequence repeats (SSRs), are one of the most informative and multi-purpose genetic markers exploited in plant functional genomics. However, the discovery of SSRs and development using traditional methods are laborious, time-consuming, and costly. Recently, the availability of high-throughput sequencing technologies has enabled researchers to identify a substantial number of microsatellites at less cost and effort than traditional approaches. Illumina is a noteworthy transcriptome sequencing technology that is currently used in SSR marker development. Although 454 pyrosequencing datasets can be used for SSR development, this type of sequencing is no longer supported. This review aims to present an overview of the next generation sequencing, with a focus on the efficient use of de novo transcriptome sequencing (RNA-Seq) and related tools for mining and development of microsatellites in plants. MDPI 2018-02-13 /pmc/articles/PMC6017569/ /pubmed/29438290 http://dx.doi.org/10.3390/molecules23020399 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Taheri, Sima
Lee Abdullah, Thohirah
Yusop, Mohd Rafii
Hanafi, Mohamed Musa
Sahebi, Mahbod
Azizi, Parisa
Shamshiri, Redmond Ramin
Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants
title Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants
title_full Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants
title_fullStr Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants
title_full_unstemmed Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants
title_short Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants
title_sort mining and development of novel ssr markers using next generation sequencing (ngs) data in plants
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017569/
https://www.ncbi.nlm.nih.gov/pubmed/29438290
http://dx.doi.org/10.3390/molecules23020399
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