Benchmarking short and long read polishing tools for nanopore assemblies: achieving near-perfect genomes for outbreak isolates.

Salmonella Assembly polishing Bacterial genomics Benchmarking Food poisoning outbreaks Long read sequencing Nanopore sequencing Source tracking investigations

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
08 Jul 2024
Historique:
received: 29 02 2024
accepted: 01 07 2024
medline: 9 7 2024
pubmed: 9 7 2024
entrez: 8 7 2024
Statut: epublish

Résumé

Oxford Nanopore provides high throughput sequencing platforms able to reconstruct complete bacterial genomes with 99.95% accuracy. However, even small levels of error can obscure the phylogenetic relationships between closely related isolates. Polishing tools have been developed to correct these errors, but it is uncertain if they obtain the accuracy needed for the high-resolution source tracking of foodborne illness outbreaks. We tested 132 combinations of assembly and short- and long-read polishing tools to assess their accuracy for reconstructing the genome sequences of 15 highly similar Salmonella enterica serovar Newport isolates from a 2020 onion outbreak. While long-read polishing alone improved accuracy, near perfect accuracy (99.9999% accuracy or ~ 5 nucleotide errors across the 4.8 Mbp genome, excluding low confidence regions) was only obtained by pipelines that combined both long- and short-read polishing tools. Notably, medaka was a more accurate and efficient long-read polisher than Racon. Among short-read polishers, NextPolish showed the highest accuracy, but Pilon, Polypolish, and POLCA performed similarly. Among the 5 best performing pipelines, polishing with medaka followed by NextPolish was the most common combination. Importantly, the order of polishing tools mattered i.e., using less accurate tools after more accurate ones introduced errors. Indels in homopolymers and repetitive regions, where the short reads could not be uniquely mapped, remained the most challenging errors to correct. Short reads are still needed to correct errors in nanopore sequenced assemblies to obtain the accuracy required for source tracking investigations. Our granular assessment of the performance of the polishing pipelines allowed us to suggest best practices for tool users and areas for improvement for tool developers.

Sections du résumé

BACKGROUND BACKGROUND
Oxford Nanopore provides high throughput sequencing platforms able to reconstruct complete bacterial genomes with 99.95% accuracy. However, even small levels of error can obscure the phylogenetic relationships between closely related isolates. Polishing tools have been developed to correct these errors, but it is uncertain if they obtain the accuracy needed for the high-resolution source tracking of foodborne illness outbreaks.
RESULTS RESULTS
We tested 132 combinations of assembly and short- and long-read polishing tools to assess their accuracy for reconstructing the genome sequences of 15 highly similar Salmonella enterica serovar Newport isolates from a 2020 onion outbreak. While long-read polishing alone improved accuracy, near perfect accuracy (99.9999% accuracy or ~ 5 nucleotide errors across the 4.8 Mbp genome, excluding low confidence regions) was only obtained by pipelines that combined both long- and short-read polishing tools. Notably, medaka was a more accurate and efficient long-read polisher than Racon. Among short-read polishers, NextPolish showed the highest accuracy, but Pilon, Polypolish, and POLCA performed similarly. Among the 5 best performing pipelines, polishing with medaka followed by NextPolish was the most common combination. Importantly, the order of polishing tools mattered i.e., using less accurate tools after more accurate ones introduced errors. Indels in homopolymers and repetitive regions, where the short reads could not be uniquely mapped, remained the most challenging errors to correct.
CONCLUSIONS CONCLUSIONS
Short reads are still needed to correct errors in nanopore sequenced assemblies to obtain the accuracy required for source tracking investigations. Our granular assessment of the performance of the polishing pipelines allowed us to suggest best practices for tool users and areas for improvement for tool developers.

Identifiants

pubmed: 38978005
doi: 10.1186/s12864-024-10582-x
pii: 10.1186/s12864-024-10582-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

679

Informations de copyright

© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Auteurs

Tu Luan (T)

Department of Computer Science, University of Maryland, College Park, MD, 20742, USA.

Seth Commichaux (S)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, MD, 20708, USA. Seth.Commichaux@fda.hhs.gov.

Maria Hoffmann (M)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, 20740, USA.

Victor Jayeola (V)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, 20740, USA.

Jae Hee Jang (JH)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, 20740, USA.

Mihai Pop (M)

Department of Computer Science, University of Maryland, College Park, MD, 20742, USA.

Hugh Rand (H)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, 20740, USA.

Yan Luo (Y)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, 20740, USA.

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