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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6017569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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