Evidence map›Paper›PMID 40237504›Full record

ArticleMicrobiology spectrum2025

Development of a culture-independent whole-genome sequencing of Nipah virus using the MinION Oxford Nanopore platform.

Md Mahfuzur Rahman, Mojnu Miah, Mohammad Enayet Hossain, Samiur Rahim, Sharmin Sultana, Syed Moinuddin Satter, Ariful Islam, Shannon L M Whitmer, Jonathan H Epstein, Christina F Spiropoulou and 6 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Md Mahfuzur Rahman *Infectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh.
Mojnu Miah *Infectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh.
Mohammad Enayet HossainInfectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh.ORCID 0000-0001-5511-1857
Samiur RahimInfectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh.ORCID 0000-0003-1468-395X
Sharmin SultanaInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh.
Syed Moinuddin SatterInfectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh.
Ariful IslamEcoHealth Alliance, New York, New York, USA.
Shannon L M WhitmerViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-0819-6736
Jonathan H EpsteinEcoHealth Alliance, New York, New York, USA.
Christina F SpiropoulouViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
John D KlenaViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Tahmina ShirinInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh.
Joel M MontgomeryViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Maria E KaczmarekEcoHealth Alliance, New York, New York, USA.
Mohammed Ziaur RahmanInfectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh.ORCID 0000-0002-4103-4835
Iqbal Kabir JahidDepartment of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh.

Funding

Study of Nipah virus dynamics and genetics in its bat reservoir and of human exposure to NiV across Bangladesh to understand patterns of human outbreaksU01AI153420 · NIAID · ECOHEALTH ALLIANCE, INC. · PI EPSTEIN, JONATHAN H · 2020 to 2023
$2.3M
NIAID NIH HHS U01 AI153420
6 · The paper itself

Abstract

Nipah virus (NiV) is a deadly zoonotic pathogen in Southeast Asia causing severe respiratory and encephalitis symptoms with a high fatality rate. Whole-genome sequencing (WGS) is crucial for tracking transmission, conducting epidemiological analyses, and understanding NiV's adaptive evolution. WGS is essential for analyzing genomes, particularly in understanding pathogen nature, and pathogenesis and aiding in the development of therapeutics. However, sequencing this highly contagious virus directly from samples is challenging in low- and middle-income countries lacking BSL-4 facilities. This study developed and optimized a culture-independent, high-throughput multiplex PCR-based third-generation sequencing protocol for NiV using the Oxford Nanopore Technology platform and a proposed bioinformatics pipeline to generate consensus genome sequences directly from environmental and clinical specimens. We amplified 12 NiV RT-PCR-positive specimens (11 clinical, one environmental) to produce 60 amplicons, each approximately 400 bp, covering the entire ~18.2 kb genome. Using a two-step reverse transcriptase PCR approach, libraries were prepared with a ligation sequencing kit. Raw sequence data were then analyzed using bioinformatics tools. A minimum of 10,000 total reads per sample provided a nearly complete coverage (>95%) of the NiV genome, even with low virus concentrations (Ct ≤ 32), with an average quality score of 10.2. The WGS of 12 NiV-positive samples achieved coverage between 95.71% (Ct 29.54) and 99.3% (Ct 22.34). The entire process, from RNA extraction to finished sequences, took only 24 h. We developed a portable, culture-independent, high-throughput sequencing workflow suitable for resource-limited settings, aiding in real-time monitoring, outbreak investigation, and detection of new NiV strains and genetic evolution. IMPORTANCE: The development of a culture-independent, high-throughput whole-genome sequencing (WGS) protocol for Nipah virus (NiV) using the Oxford Nanopore MinION technology marks a significant advancement in outbreak response, surveillance, and genomic analysis of NiV. NiV is an RG4 category C pathogen; working with the NiV virus is a deep concern of biosafety and biosecurity. It demands the development of biologically safe procedures to get genetic information. This protocol utilizes biologically safe samples that were collected into recommended lysis solution, multiplex PCR, and third-generation sequencing, effectively addressing challenges in sequencing NiV. This optimized workflow achieved over 95% genome coverage without the need for virus culture. It is a cost-effective, rapid, and efficient approach to the WGS of NiV, making it suitable for resource-limited settings like Bangladesh. The method enhances the capacity for outbreak investigations, epidemiological analyses, and monitoring virus, aiding in detecting emerging strains. This work contributes significantly to global pandemic preparedness and response efforts.

Indexed as

Genome, ViralHenipavirus InfectionsNipah VirusWhole Genome SequencingAnimalsComputational BiologyHigh-Throughput Nucleotide SequencingHumansMultiplex Polymerase Chain ReactionNanoporesNanopore Sequencingclinical and environmental specimenculture independentNipah virusOxford Nanopore MinIONwhole-genome sequencing

Identifiers

PMID40237504
PMCPMC12131749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.