Evidence map›Paper›PMID 32381023›Full record

ArticleBMC genomics2020

Comparative genomics of whole-cell pertussis vaccine strains from India.

Shweta Alai, Vikas C Ghattargi, Manish Gautam, Krunal Patel, Shrikant P Pawar, Dhiraj P Dhotre, Umesh Shaligram, Sunil Gairola

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Genomic characterization ofMicrobial genomics · 2023
    Article
  2. Characterization ofPathogens (Basel, Switzerland) · 2022
    Article
  3. Evolution of Bordetella pertussis in the acellular vaccine era in Norway, 1996 to 2019.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
  4. Review
  5. Genetic Diversity of ClinicalJournal of genomics · 2021
    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

8 authors at 3 institutions in 1 country.

Shweta AlaiDepartment of Health and Biological Sciences, Symbiosis International University, Pune, Maharashtra, 412115, India.
Vikas C GhattargiNational Centre for Microbial Resource, National Centre for Cell Science, Pune, Maharashtra, 411021, India.
Manish GautamSerum Institute of India Pvt. Ltd, Pune, Maharashtra, 411028, India.
Krunal PatelSerum Institute of India Pvt. Ltd, Pune, Maharashtra, 411028, India.
Shrikant P PawarNational Centre for Microbial Resource, National Centre for Cell Science, Pune, Maharashtra, 411021, India.
Dhiraj P DhotreNational Centre for Microbial Resource, National Centre for Cell Science, Pune, Maharashtra, 411021, India.
Umesh ShaligramSerum Institute of India Pvt. Ltd, Pune, Maharashtra, 411028, India.
Sunil GairolaSerum Institute of India Pvt. Ltd, Pune, Maharashtra, 411028, India. sunil.gairola@seruminstitute.com.
Serum Institute of India (India) · INNational Centre for Cell Science · INSymbiosis International University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite high vaccination coverage using acellular (ACV) and whole-cell pertussis (WCV) vaccines, the resurgence of pertussis is observed globally. Genetic divergence in circulating strains of Bordetella pertussis has been reported as one of the contributing factors for the resurgence of the disease. Our current knowledge of B. pertussis genetic evolution in circulating strains is mostly based on studies conducted in countries using ACVs targeting only a few antigens used in the production of ACVs. To better understand the adaptation to vaccine-induced selection pressure, it will be essential to study B. pertussis populations in developing countries which are using WCVs. India is a significant user and global supplier of WCVs. We report here comparative genome analyses of vaccine and clinical isolates reported from India. Whole-genome sequences obtained from vaccine strains: WCV (J445, J446, J447 and J448), ACV (BP165) were compared with Tohama-I reference strain and recently reported clinical isolates from India (BPD1, BPD2). Core genome-based phylogenetic analysis was also performed using 166 isolates reported from countries using ACV.

resultsWhole-genome analysis of vaccine and clinical isolates reported from India revealed high genetic similarity and conserved genome among strains. Phylogenetic analysis showed that clinical and vaccine strains share genetic closeness with reference strain Tohama-I. The allelic profile of vaccine strains (J445:ptxP1/ptxA2/prn1/fim2-1/fim3-1; J446: ptxP2/ptxA4/prn7/fim2-2/fim3-1; J447 and J448: ptxP1/ptxA1/ prn1/fim2-1/fim3-1), which matched entirely with clinical isolates (BPD1:ptxP1/ptxA1/prn1/fim2-1 and BPD2: ptxP1/ptxA1/prn1/fim2-1) reported from India. Multi-locus sequence typing (MLST) demonstrated the presence of dominant sequence types ST2 and primitive ST1 in vaccine strains which will allow better coverage against circulating strains of B. pertussis.

conclusionsThe study provides a detailed characterization of vaccine and clinical strains reported from India, which will further facilitate epidemiological studies on genetic shifts in countries which are using WCVs in their immunization programs.

Indexed as

Bordetella pertussisGenes, BacterialGenetic VariationGenome, BacterialGenomicsGenotypeHumansPertussis VaccinePhylogenyWhooping CoughPertussis VaccineAntigenic variationBordetella pertussisGenome organizationResurgenceVaccine-mediated selectionVirulence genesWhooping cough

Identifiers

PMID32381023
PMCPMC7204287
OpenAlexW3023848533

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.