Evidence map›Paper›PMID 34166413›Full record

ArticlePloS one2021

Evaluating coverage bias in next-generation sequencing of Escherichia coli.

Samantha Gunasekera, Sam Abraham, Marc Stegger, Stanley Pang, Penghao Wang, Shafi Sahibzada, Mark O'Dea

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Samantha GunasekeraAntimicrobial Resistance and Infectious Disease Laboratory, Murdoch University, Western Australia, Australia.ORCID 0000-0002-4262-4992
Sam AbrahamAntimicrobial Resistance and Infectious Disease Laboratory, Murdoch University, Western Australia, Australia.
Marc SteggerStatens Serum Institut, Copenhagen, Denmark.
Stanley PangAntimicrobial Resistance and Infectious Disease Laboratory, Murdoch University, Western Australia, Australia.
Penghao WangAntimicrobial Resistance and Infectious Disease Laboratory, Murdoch University, Western Australia, Australia.
Shafi SahibzadaAntimicrobial Resistance and Infectious Disease Laboratory, Murdoch University, Western Australia, Australia.
Mark O'DeaAntimicrobial Resistance and Infectious Disease Laboratory, Murdoch University, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing is essential to many facets of infectious disease research. However, technical limitations such as bias in coverage and tagmentation, and difficulties characterising genomic regions with extreme GC content have created significant obstacles in its use. Illumina has claimed that the recently released DNA Prep library preparation kit, formerly known as Nextera Flex, overcomes some of these limitations. This study aimed to assess bias in coverage, tagmentation, GC content, average fragment size distribution, and de novo assembly quality using both the Nextera XT and DNA Prep kits from Illumina. When performing whole-genome sequencing on Escherichia coli and where coverage bias is the main concern, the DNA Prep kit may provide higher quality results; though de novo assembly quality, tagmentation bias and GC content related bias are unlikely to improve. Based on these results, laboratories with existing workflows based on Nextera XT would see minor benefits in transitioning to the DNA Prep kit if they were primarily studying organisms with neutral GC content.

Indexed as

Base CompositionHigh-Throughput Nucleotide SequencingAnimalsColumbidaeDNA, BacterialEscherichia coliSpheniscidaeWhole Genome SequencingDNA, Bacterial

Identifiers

PMID34166413
PMCPMC8224930

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.