Evidence map›Paper›PMID 34930397›Full record

ArticleGenome biology2021

An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes.

Blanca M Perez-Sepulveda, Darren Heavens, Caisey V Pulford, Alexander V Predeus, Ross Low, Hermione Webster, Gregory F Dykes, Christian Schudoma, Will Rowe, James Lipscombe and 9 more

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  18. Article
  19. Molecular characterization ofMicrobial genomics · 2024
    Article
  20. Analysis of globalMicrobial genomics · 2024
    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

19 authors.

Blanca M Perez-SepulvedaInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK. blanca.m.perez@gmail.com.
Darren Heavens *Earlham Institute, Norwich Research Park, Norwich, UK.
Caisey V Pulford *Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Alexander V PredeusInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Ross LowEarlham Institute, Norwich Research Park, Norwich, UK.
Hermione WebsterInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Gregory F DykesInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Christian SchudomaEarlham Institute, Norwich Research Park, Norwich, UK.
Will RoweInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
James LipscombeEarlham Institute, Norwich Research Park, Norwich, UK.
Chris WatkinsEarlham Institute, Norwich Research Park, Norwich, UK.
Benjamin KumwendaKamuzu University of Health Sciences, Blantyre, Malawi.
Neil ShearerEarlham Institute, Norwich Research Park, Norwich, UK.
Karl CostiganInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Kate S BakerInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Nicholas A FeaseyLiverpool School of Tropical Medicine, Pembroke Place, Liverpool, UK.
Jay C D HintonInstitute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK. jay.hinton@liverpool.ac.uk.
Neil HallEarlham Institute, Norwich Research Park, Norwich, UK. neil.hall@earlham.ac.uk.ORCID 0000-0003-2808-0009
10KSG consortium

Funding

Biotechnology and Biological Sciences Research Council BB/CCG1720/1Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817Biotechnology and Biological Sciences Research Council BBS/OS/GC/000009DWellcome TrustWellcome Trust 106914/Z/15/Z
6 · The paper itself

Abstract

We have developed an efficient and inexpensive pipeline for streamlining large-scale collection and genome sequencing of bacterial isolates. Evaluation of this method involved a worldwide research collaboration focused on the model organism Salmonella enterica, the 10KSG consortium. Following the optimization of a logistics pipeline that involved shipping isolates as thermolysates in ambient conditions, the project assembled a diverse collection of 10,419 isolates from low- and middle-income countries. The genomes were sequenced using the LITE pipeline for library construction, with a total reagent cost of less than USD$10 per genome. Our method can be applied to other large bacterial collections to underpin global collaborations.

Indexed as

Genome, BacterialDNA, BacterialGenomeHumansSalmonella entericaWhole Genome SequencingDNA, BacterialiNTSSalmonellaThermolysatesWhole-genome sequencing

Identifiers

PMID34930397
PMCPMC8690886

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.