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The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice
Transposable elements (TEs) are dynamic components of genomes that often vary in copy number among members of the same species. With the advent of next-generation sequencing TE insertion-site polymorphism can be examined at an unprecedented level of detail when combined with easy-to-use bioinformati...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689806/ https://www.ncbi.nlm.nih.gov/pubmed/23576519 http://dx.doi.org/10.1534/g3.112.005348 |
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author | Robb, Sofia M. C. Lu, Lu Valencia, Elizabeth Burnette, James M. Okumoto, Yutaka Wessler, Susan R. Stajich, Jason E. |
author_facet | Robb, Sofia M. C. Lu, Lu Valencia, Elizabeth Burnette, James M. Okumoto, Yutaka Wessler, Susan R. Stajich, Jason E. |
author_sort | Robb, Sofia M. C. |
collection | PubMed |
description | Transposable elements (TEs) are dynamic components of genomes that often vary in copy number among members of the same species. With the advent of next-generation sequencing TE insertion-site polymorphism can be examined at an unprecedented level of detail when combined with easy-to-use bioinformatics software. Here we report a new tool, RelocaTE, that rapidly identifies specific TE insertions that are either polymorphic or shared between a reference and unassembled next-generation sequencing reads. Furthermore, a novel companion tool, CharacTErizer, exploits the depth of coverage to classify genotypes of nonreference insertions as homozygous, heterozygous or, when analyzing an active TE family, as rare somatic insertion or excision events. It does this by comparing the numbers of RelocaTE aligned reads to reads that map to the same genomic position without the TE. Although RelocaTE and CharacTErizer can be used for any TE, they were developed to analyze the very active mPing element which is undergoing massive amplification in specific strains of Oryza sativa (rice). Three individuals of one of these strains, A123, were resequenced and analyzed for mPing insertion site polymorphisms. The majority of mPing insertions found (~97%) are not present in the reference, and two siblings from a self-crossed of this strain were found to share only ~90% of their insertions. Private insertions are primarily heterozygous but include both homozygous and predicted somatic insertions. The reliability of the predicted genotypes was validated by polymerase chain reaction. |
format | Online Article Text |
id | pubmed-3689806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-36898062013-06-24 The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice Robb, Sofia M. C. Lu, Lu Valencia, Elizabeth Burnette, James M. Okumoto, Yutaka Wessler, Susan R. Stajich, Jason E. G3 (Bethesda) Investigations Transposable elements (TEs) are dynamic components of genomes that often vary in copy number among members of the same species. With the advent of next-generation sequencing TE insertion-site polymorphism can be examined at an unprecedented level of detail when combined with easy-to-use bioinformatics software. Here we report a new tool, RelocaTE, that rapidly identifies specific TE insertions that are either polymorphic or shared between a reference and unassembled next-generation sequencing reads. Furthermore, a novel companion tool, CharacTErizer, exploits the depth of coverage to classify genotypes of nonreference insertions as homozygous, heterozygous or, when analyzing an active TE family, as rare somatic insertion or excision events. It does this by comparing the numbers of RelocaTE aligned reads to reads that map to the same genomic position without the TE. Although RelocaTE and CharacTErizer can be used for any TE, they were developed to analyze the very active mPing element which is undergoing massive amplification in specific strains of Oryza sativa (rice). Three individuals of one of these strains, A123, were resequenced and analyzed for mPing insertion site polymorphisms. The majority of mPing insertions found (~97%) are not present in the reference, and two siblings from a self-crossed of this strain were found to share only ~90% of their insertions. Private insertions are primarily heterozygous but include both homozygous and predicted somatic insertions. The reliability of the predicted genotypes was validated by polymerase chain reaction. Genetics Society of America 2013-06-01 /pmc/articles/PMC3689806/ /pubmed/23576519 http://dx.doi.org/10.1534/g3.112.005348 Text en Copyright © 2013 Robb et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Robb, Sofia M. C. Lu, Lu Valencia, Elizabeth Burnette, James M. Okumoto, Yutaka Wessler, Susan R. Stajich, Jason E. The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice |
title | The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice |
title_full | The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice |
title_fullStr | The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice |
title_full_unstemmed | The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice |
title_short | The Use of RelocaTE and Unassembled Short Reads to Produce High-Resolution Snapshots of Transposable Element Generated Diversity in Rice |
title_sort | use of relocate and unassembled short reads to produce high-resolution snapshots of transposable element generated diversity in rice |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689806/ https://www.ncbi.nlm.nih.gov/pubmed/23576519 http://dx.doi.org/10.1534/g3.112.005348 |
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