Discovery and characterization of medaka miRNA genes by next generation sequencing platform
BACKGROUND: MicroRNAs (miRNAs) are endogenous non-protein-coding RNA genes which exist in a wide variety of organisms, including animals, plants, virus and even unicellular organisms. Medaka (Oryzias latipes) is a useful model organism among vertebrate animals. However, no medaka miRNAs have been in...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005926/ https://www.ncbi.nlm.nih.gov/pubmed/21143817 http://dx.doi.org/10.1186/1471-2164-11-S4-S8 |
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author | Li, Sung-Chou Chan, Wen-Ching Ho, Meng-Ru Tsai, Kuo-Wang Hu, Ling-Yueh Lai, Chun-Hung Hsu, Chun-Nan Hwang, Pung-Pung Lin, Wen-chang |
author_facet | Li, Sung-Chou Chan, Wen-Ching Ho, Meng-Ru Tsai, Kuo-Wang Hu, Ling-Yueh Lai, Chun-Hung Hsu, Chun-Nan Hwang, Pung-Pung Lin, Wen-chang |
author_sort | Li, Sung-Chou |
collection | PubMed |
description | BACKGROUND: MicroRNAs (miRNAs) are endogenous non-protein-coding RNA genes which exist in a wide variety of organisms, including animals, plants, virus and even unicellular organisms. Medaka (Oryzias latipes) is a useful model organism among vertebrate animals. However, no medaka miRNAs have been investigated systematically. It is beneficial to conduct a genome-wide miRNA discovery study using the next generation sequencing (NGS) technology, which has emerged as a powerful sequencing tool for high-throughput analysis. RESULTS: In this study, we adopted ABI SOLiD platform to generate small RNA sequence reads from medaka tissues, followed by mapping these sequence reads back to medaka genome. The mapped genomic loci were considered as candidate miRNAs and further processed by a support vector machine (SVM) classifier. As result, we identified 599 novel medaka pre-miRNAs, many of which were found to encode more than one isomiRs. Besides, additional minor miRNAs (also called miRNA star) can be also detected with the improvement of sequencing depth. These quantifiable isomiRs and minor miRNAs enable us to further characterize medaka miRNA genes in many aspects. First of all, many medaka candidate pre-miRNAs position close to each other, forming many miRNA clusters, some of which are also conserved across other vertebrate animals. Secondly, during miRNA maturation, there is an arm selection preference of mature miRNAs within precursors. We observed the differences on arm selection preference between our candidate pre-miRNAs and their orthologous ones. We classified these differences into three categories based on the distribution of NGS reads. Finally, we also investigated the relationship between conservation status and expression level of miRNA genes. We concluded that the evolutionally conserved miRNAs were usually the most abundant ones. CONCLUSIONS: Medaka is a widely used model animal and usually involved in many biomedical studies, including the ones on development biology. Identifying and characterizing medaka miRNA genes would benefit the studies using medaka as a model organism. |
format | Text |
id | pubmed-3005926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30059262010-12-22 Discovery and characterization of medaka miRNA genes by next generation sequencing platform Li, Sung-Chou Chan, Wen-Ching Ho, Meng-Ru Tsai, Kuo-Wang Hu, Ling-Yueh Lai, Chun-Hung Hsu, Chun-Nan Hwang, Pung-Pung Lin, Wen-chang BMC Genomics Proceedings BACKGROUND: MicroRNAs (miRNAs) are endogenous non-protein-coding RNA genes which exist in a wide variety of organisms, including animals, plants, virus and even unicellular organisms. Medaka (Oryzias latipes) is a useful model organism among vertebrate animals. However, no medaka miRNAs have been investigated systematically. It is beneficial to conduct a genome-wide miRNA discovery study using the next generation sequencing (NGS) technology, which has emerged as a powerful sequencing tool for high-throughput analysis. RESULTS: In this study, we adopted ABI SOLiD platform to generate small RNA sequence reads from medaka tissues, followed by mapping these sequence reads back to medaka genome. The mapped genomic loci were considered as candidate miRNAs and further processed by a support vector machine (SVM) classifier. As result, we identified 599 novel medaka pre-miRNAs, many of which were found to encode more than one isomiRs. Besides, additional minor miRNAs (also called miRNA star) can be also detected with the improvement of sequencing depth. These quantifiable isomiRs and minor miRNAs enable us to further characterize medaka miRNA genes in many aspects. First of all, many medaka candidate pre-miRNAs position close to each other, forming many miRNA clusters, some of which are also conserved across other vertebrate animals. Secondly, during miRNA maturation, there is an arm selection preference of mature miRNAs within precursors. We observed the differences on arm selection preference between our candidate pre-miRNAs and their orthologous ones. We classified these differences into three categories based on the distribution of NGS reads. Finally, we also investigated the relationship between conservation status and expression level of miRNA genes. We concluded that the evolutionally conserved miRNAs were usually the most abundant ones. CONCLUSIONS: Medaka is a widely used model animal and usually involved in many biomedical studies, including the ones on development biology. Identifying and characterizing medaka miRNA genes would benefit the studies using medaka as a model organism. BioMed Central 2010-12-02 /pmc/articles/PMC3005926/ /pubmed/21143817 http://dx.doi.org/10.1186/1471-2164-11-S4-S8 Text en Copyright © 2010 Li et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Li, Sung-Chou Chan, Wen-Ching Ho, Meng-Ru Tsai, Kuo-Wang Hu, Ling-Yueh Lai, Chun-Hung Hsu, Chun-Nan Hwang, Pung-Pung Lin, Wen-chang Discovery and characterization of medaka miRNA genes by next generation sequencing platform |
title | Discovery and characterization of medaka miRNA genes by next generation sequencing platform |
title_full | Discovery and characterization of medaka miRNA genes by next generation sequencing platform |
title_fullStr | Discovery and characterization of medaka miRNA genes by next generation sequencing platform |
title_full_unstemmed | Discovery and characterization of medaka miRNA genes by next generation sequencing platform |
title_short | Discovery and characterization of medaka miRNA genes by next generation sequencing platform |
title_sort | discovery and characterization of medaka mirna genes by next generation sequencing platform |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005926/ https://www.ncbi.nlm.nih.gov/pubmed/21143817 http://dx.doi.org/10.1186/1471-2164-11-S4-S8 |
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