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The effect of variant interference on de novo assembly for viral deep sequencing

BACKGROUND: Viruses have high mutation rates and generally exist as a mixture of variants in biological samples. Next-generation sequencing (NGS) approaches have surpassed Sanger for generating long viral sequences, yet how variants affect NGS de novo assembly remains largely unexplored. RESULTS: Ou...

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Autores principales: Castro, Christina J., Marine, Rachel L., Ramos, Edward, Ng, Terry Fei Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306937/
https://www.ncbi.nlm.nih.gov/pubmed/32571214
http://dx.doi.org/10.1186/s12864-020-06801-w
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author Castro, Christina J.
Marine, Rachel L.
Ramos, Edward
Ng, Terry Fei Fan
author_facet Castro, Christina J.
Marine, Rachel L.
Ramos, Edward
Ng, Terry Fei Fan
author_sort Castro, Christina J.
collection PubMed
description BACKGROUND: Viruses have high mutation rates and generally exist as a mixture of variants in biological samples. Next-generation sequencing (NGS) approaches have surpassed Sanger for generating long viral sequences, yet how variants affect NGS de novo assembly remains largely unexplored. RESULTS: Our results from > 15,000 simulated experiments showed that presence of variants can turn an assembly of one genome into tens to thousands of contigs. This “variant interference” (VI) is highly consistent and reproducible by ten commonly-used de novo assemblers, and occurs over a range of genome length, read length, and GC content. The main driver of VI is pairwise identities between viral variants. These findings were further supported by in silico simulations, where selective removal of minor variant reads from clinical datasets allow the “rescue” of full viral genomes from fragmented contigs. CONCLUSIONS: These results call for careful interpretation of contigs and contig numbers from de novo assembly in viral deep sequencing.
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spelling pubmed-73069372020-06-22 The effect of variant interference on de novo assembly for viral deep sequencing Castro, Christina J. Marine, Rachel L. Ramos, Edward Ng, Terry Fei Fan BMC Genomics Research Article BACKGROUND: Viruses have high mutation rates and generally exist as a mixture of variants in biological samples. Next-generation sequencing (NGS) approaches have surpassed Sanger for generating long viral sequences, yet how variants affect NGS de novo assembly remains largely unexplored. RESULTS: Our results from > 15,000 simulated experiments showed that presence of variants can turn an assembly of one genome into tens to thousands of contigs. This “variant interference” (VI) is highly consistent and reproducible by ten commonly-used de novo assemblers, and occurs over a range of genome length, read length, and GC content. The main driver of VI is pairwise identities between viral variants. These findings were further supported by in silico simulations, where selective removal of minor variant reads from clinical datasets allow the “rescue” of full viral genomes from fragmented contigs. CONCLUSIONS: These results call for careful interpretation of contigs and contig numbers from de novo assembly in viral deep sequencing. BioMed Central 2020-06-22 /pmc/articles/PMC7306937/ /pubmed/32571214 http://dx.doi.org/10.1186/s12864-020-06801-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Castro, Christina J.
Marine, Rachel L.
Ramos, Edward
Ng, Terry Fei Fan
The effect of variant interference on de novo assembly for viral deep sequencing
title The effect of variant interference on de novo assembly for viral deep sequencing
title_full The effect of variant interference on de novo assembly for viral deep sequencing
title_fullStr The effect of variant interference on de novo assembly for viral deep sequencing
title_full_unstemmed The effect of variant interference on de novo assembly for viral deep sequencing
title_short The effect of variant interference on de novo assembly for viral deep sequencing
title_sort effect of variant interference on de novo assembly for viral deep sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306937/
https://www.ncbi.nlm.nih.gov/pubmed/32571214
http://dx.doi.org/10.1186/s12864-020-06801-w
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