Evidence map›Paper›PMID 41006350›Full record

ArticleScientific reports2025

Leveraging illumina iSeq100 for whole genome sequencing of Salmonella Typhi for a resource-limited setting.

Nishan Katuwal, Shiva Ram Naga, Aastha Shrestha, Sabin Bikram Shahi, Dipesh Tamrakar, Rajeev Shrestha

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nishan KatuwalMolecular and Genome Sequencing Research Lab, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal.
Shiva Ram NagaCenter for Infectious Disease Research and Surveillance, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal.
Aastha ShresthaMolecular and Genome Sequencing Research Lab, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal.
Sabin Bikram ShahiCenter for Infectious Disease Research and Surveillance, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal.
Dipesh TamrakarCenter for Infectious Disease Research and Surveillance, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal.
Rajeev ShresthaMolecular and Genome Sequencing Research Lab, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal. rajeev.shrestha@kusms.edu.np.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial whole-genome-sequencing improves our understanding of epidemiology and pathogenesis of infections. It also allows comprehensive investigation on virulence, evolution and resistance mechanisms. Nepal, recently, has seen some increase in sequencing capabilities but faces hurdles for optimum utilisation. However, these hurdles could be alleviated with strategic use of available platforms. Therefore, this study aimed at performing and evaluating the whole-genome-sequencing of S Typhi using Illumina iSeq100. Six banked isolates of S Typhi were selected, extracted, confirmed by qPCR and then sequenced in Illumina iSeq100 at 200pM. The consensus was generated by mapping onto S. Typhi CT18. These consensus genomes and their coverage parameters were compared to data from HiSeq and NextSeq. The raw reads were also evaluated using pathogenwatch to observe genotype, mutations and resistance genes. The coverage parameters (breadth and depth) of the genomes from this study were compared to the same genomes sequenced using HiSeq/NextSeq. The average coverage breadth (96.81%) and depth (63.75x) of genomes sequenced in iSeq100 were comparable to that of HiSeq/NextSeq (breadth: 98.72% and depth: 69.87x). The genotypes detected, the number of SNPs and genetic determinants of AMR genes were identical across platforms. The data from bacterial whole-genome-sequencing using the iSeq100 is equally informative when compared to some high-end sequencers. Thus, this study advocates for optimum utlisation of available platforms such as iSeq100.

Indexed as

Genome, BacterialResource-Limited SettingsSalmonella typhiWhole Genome SequencingiSeq100NepalSalmonellaWhole genome sequencing

Identifiers

PMID41006350
PMCPMC12475002

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.