Evidence map›Paper›PMID 38195441›Full record

ArticleBMC genomics2024

An overlooked phenomenon: complex interactions of potential error sources on the quality of bacterial de novo genome assemblies.

Zoltán Rádai, Alex Váradi, Péter Takács, Nikoletta Andrea Nagy, Nicholas Schmitt, Eszter Prépost, Gábor Kardos, Levente Laczkó

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Zoltán RádaiInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary. zozi.web@gmail.com.
Alex VáradiInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Péter TakácsInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Nikoletta Andrea NagyInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Nicholas SchmittDepartment of Dermatology, University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
Eszter PrépostDepartment of Health Industry, University of Debrecen, Debrecen, Hungary.
Gábor KardosInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Levente LaczkóInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
University of Debrecen · HUDüsseldorf University Hospital · DE

Funding

European Regional Development Fund GINOP-2.3.4-15-2020-00008
6 · The paper itself

Abstract

backgroundParameters adversely affecting the contiguity and accuracy of the assemblies from Illumina next-generation sequencing (NGS) are well described. However, past studies generally focused on their additive effects, overlooking their potential interactions possibly exacerbating one another's effects in a multiplicative manner. To investigate whether or not they act interactively on de novo genome assembly quality, we simulated sequencing data for 13 bacterial reference genomes, with varying levels of error rate, sequencing depth, PCR and optical duplicate ratios.

resultsWe assessed the quality of assemblies from the simulated sequencing data with a number of contiguity and accuracy metrics, which we used to quantify both additive and multiplicative effects of the four parameters. We found that the tested parameters are engaged in complex interactions, exerting multiplicative, rather than additive, effects on assembly quality. Also, the ratio of non-repeated regions and GC% of the original genomes can shape how the four parameters affect assembly quality.

conclusionsWe provide a framework for consideration in future studies using de novo genome assembly of bacterial genomes, e.g. in choosing the optimal sequencing depth, balancing between its positive effect on contiguity and negative effect on accuracy due to its interaction with error rate. Furthermore, the properties of the genomes to be sequenced also should be taken into account, as they might influence the effects of error sources themselves.

Indexed as

Genome, BacterialResearch DesignHigh-Throughput Nucleotide SequencingBacterial genomesOptical duplicatesPCR duplicatesSequencing depthSequencing error

Identifiers

PMID38195441
PMCPMC10777565
OpenAlexW4390748006

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.