Cargando…
Large-scale contamination of microbial isolate genomes by Illumina PhiX control
With the rapid growth and development of sequencing technologies, genomes have become the new go-to for exploring solutions to some of the world’s biggest challenges such as searching for alternative energy sources and exploration of genomic dark matter. However, progress in sequencing has been acco...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4511556/ https://www.ncbi.nlm.nih.gov/pubmed/26203331 http://dx.doi.org/10.1186/1944-3277-10-18 |
_version_ | 1782382352610099200 |
---|---|
author | Mukherjee, Supratim Huntemann, Marcel Ivanova, Natalia Kyrpides, Nikos C Pati, Amrita |
author_facet | Mukherjee, Supratim Huntemann, Marcel Ivanova, Natalia Kyrpides, Nikos C Pati, Amrita |
author_sort | Mukherjee, Supratim |
collection | PubMed |
description | With the rapid growth and development of sequencing technologies, genomes have become the new go-to for exploring solutions to some of the world’s biggest challenges such as searching for alternative energy sources and exploration of genomic dark matter. However, progress in sequencing has been accompanied by its share of errors that can occur during template or library preparation, sequencing, imaging or data analysis. In this study we screened over 18,000 publicly available microbial isolate genome sequences in the Integrated Microbial Genomes database and identified more than 1000 genomes that are contaminated with PhiX, a control frequently used during Illumina sequencing runs. Approximately 10% of these genomes have been published in literature and 129 contaminated genomes were sequenced under the Human Microbiome Project. Raw sequence reads are prone to contamination from various sources and are usually eliminated during downstream quality control steps. Detection of PhiX contaminated genomes indicates a lapse in either the application or effectiveness of proper quality control measures. The presence of PhiX contamination in several publicly available isolate genomes can result in additional errors when such data are used in comparative genomics analyses. Such contamination of public databases have far-reaching consequences in the form of erroneous data interpretation and analyses, and necessitates better measures to proofread raw sequences before releasing them to the broader scientific community. |
format | Online Article Text |
id | pubmed-4511556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45115562015-07-23 Large-scale contamination of microbial isolate genomes by Illumina PhiX control Mukherjee, Supratim Huntemann, Marcel Ivanova, Natalia Kyrpides, Nikos C Pati, Amrita Stand Genomic Sci Commentary With the rapid growth and development of sequencing technologies, genomes have become the new go-to for exploring solutions to some of the world’s biggest challenges such as searching for alternative energy sources and exploration of genomic dark matter. However, progress in sequencing has been accompanied by its share of errors that can occur during template or library preparation, sequencing, imaging or data analysis. In this study we screened over 18,000 publicly available microbial isolate genome sequences in the Integrated Microbial Genomes database and identified more than 1000 genomes that are contaminated with PhiX, a control frequently used during Illumina sequencing runs. Approximately 10% of these genomes have been published in literature and 129 contaminated genomes were sequenced under the Human Microbiome Project. Raw sequence reads are prone to contamination from various sources and are usually eliminated during downstream quality control steps. Detection of PhiX contaminated genomes indicates a lapse in either the application or effectiveness of proper quality control measures. The presence of PhiX contamination in several publicly available isolate genomes can result in additional errors when such data are used in comparative genomics analyses. Such contamination of public databases have far-reaching consequences in the form of erroneous data interpretation and analyses, and necessitates better measures to proofread raw sequences before releasing them to the broader scientific community. BioMed Central 2015-03-30 /pmc/articles/PMC4511556/ /pubmed/26203331 http://dx.doi.org/10.1186/1944-3277-10-18 Text en Copyright © 2015 Mukherjee et al.; licensee BioMed Central. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Commentary Mukherjee, Supratim Huntemann, Marcel Ivanova, Natalia Kyrpides, Nikos C Pati, Amrita Large-scale contamination of microbial isolate genomes by Illumina PhiX control |
title | Large-scale contamination of microbial isolate genomes by Illumina PhiX control |
title_full | Large-scale contamination of microbial isolate genomes by Illumina PhiX control |
title_fullStr | Large-scale contamination of microbial isolate genomes by Illumina PhiX control |
title_full_unstemmed | Large-scale contamination of microbial isolate genomes by Illumina PhiX control |
title_short | Large-scale contamination of microbial isolate genomes by Illumina PhiX control |
title_sort | large-scale contamination of microbial isolate genomes by illumina phix control |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4511556/ https://www.ncbi.nlm.nih.gov/pubmed/26203331 http://dx.doi.org/10.1186/1944-3277-10-18 |
work_keys_str_mv | AT mukherjeesupratim largescalecontaminationofmicrobialisolategenomesbyilluminaphixcontrol AT huntemannmarcel largescalecontaminationofmicrobialisolategenomesbyilluminaphixcontrol AT ivanovanatalia largescalecontaminationofmicrobialisolategenomesbyilluminaphixcontrol AT kyrpidesnikosc largescalecontaminationofmicrobialisolategenomesbyilluminaphixcontrol AT patiamrita largescalecontaminationofmicrobialisolategenomesbyilluminaphixcontrol |