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A Protocol for mtGenome Analysis on Large Sample Numbers
The mitochondrial genome is widely studied in a variety of fields, such as population, forensic, and human and medical genetics. Most studies have been limited to a small portion of the sequence that, although highly diverse, does not describe the total variability. The arrival of modern high-throug...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4069038/ https://www.ncbi.nlm.nih.gov/pubmed/25002812 http://dx.doi.org/10.4137/BBI.S14623 |
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author | Hamoy, Igor G Ribeiro-dos-Santos, André M Alvarez, Luiz Barbosa, Silvanira Silva, Artur Santos, Sidney Gusmão, Leonor Ribeiro-dos-Santos, Ândrea |
author_facet | Hamoy, Igor G Ribeiro-dos-Santos, André M Alvarez, Luiz Barbosa, Silvanira Silva, Artur Santos, Sidney Gusmão, Leonor Ribeiro-dos-Santos, Ândrea |
author_sort | Hamoy, Igor G |
collection | PubMed |
description | The mitochondrial genome is widely studied in a variety of fields, such as population, forensic, and human and medical genetics. Most studies have been limited to a small portion of the sequence that, although highly diverse, does not describe the total variability. The arrival of modern high-throughput sequencing technologies has made it possible to investigate larger sequences in a shorter amount of time as well as in a more affordable fashion. This work aims to describe a protocol for sequencing and analyzing the complete mitochondrial genome with the Ion PGM™ platform. To evaluate the protocol, the mitochondrial genome was sequenced to approximately 210 Mbp, with high-quality sequences distributed between 12 samples that had an average coverage of 1023× per sample. Several variant callers were compared to improve the protocol outcome. The results suggest that it is possible to run up to 120 samples per run without any loss of any significant quality. Therefore, this protocol is an efficient and accurate tool for full mitochondrial genome analysis. |
format | Online Article Text |
id | pubmed-4069038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-40690382014-07-07 A Protocol for mtGenome Analysis on Large Sample Numbers Hamoy, Igor G Ribeiro-dos-Santos, André M Alvarez, Luiz Barbosa, Silvanira Silva, Artur Santos, Sidney Gusmão, Leonor Ribeiro-dos-Santos, Ândrea Bioinform Biol Insights Original Research The mitochondrial genome is widely studied in a variety of fields, such as population, forensic, and human and medical genetics. Most studies have been limited to a small portion of the sequence that, although highly diverse, does not describe the total variability. The arrival of modern high-throughput sequencing technologies has made it possible to investigate larger sequences in a shorter amount of time as well as in a more affordable fashion. This work aims to describe a protocol for sequencing and analyzing the complete mitochondrial genome with the Ion PGM™ platform. To evaluate the protocol, the mitochondrial genome was sequenced to approximately 210 Mbp, with high-quality sequences distributed between 12 samples that had an average coverage of 1023× per sample. Several variant callers were compared to improve the protocol outcome. The results suggest that it is possible to run up to 120 samples per run without any loss of any significant quality. Therefore, this protocol is an efficient and accurate tool for full mitochondrial genome analysis. Libertas Academica 2014-06-11 /pmc/articles/PMC4069038/ /pubmed/25002812 http://dx.doi.org/10.4137/BBI.S14623 Text en © 2014 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article published under the Creative Commons CC-BY-NC 3.0 License. |
spellingShingle | Original Research Hamoy, Igor G Ribeiro-dos-Santos, André M Alvarez, Luiz Barbosa, Silvanira Silva, Artur Santos, Sidney Gusmão, Leonor Ribeiro-dos-Santos, Ândrea A Protocol for mtGenome Analysis on Large Sample Numbers |
title | A Protocol for mtGenome Analysis on Large Sample Numbers |
title_full | A Protocol for mtGenome Analysis on Large Sample Numbers |
title_fullStr | A Protocol for mtGenome Analysis on Large Sample Numbers |
title_full_unstemmed | A Protocol for mtGenome Analysis on Large Sample Numbers |
title_short | A Protocol for mtGenome Analysis on Large Sample Numbers |
title_sort | protocol for mtgenome analysis on large sample numbers |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4069038/ https://www.ncbi.nlm.nih.gov/pubmed/25002812 http://dx.doi.org/10.4137/BBI.S14623 |
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