Evidence map›Paper›PMID 35178872›Full record

ArticleMolecular ecology resources2022

epiGBS2: Improvements and evaluation of highly multiplexed, epiGBS-based reduced representation bisulfite sequencing.

Fleur Gawehns, Maarten Postuma, Morgane van Antro, Adam Nunn, Bernice Sepers, Samar Fatma, Thomas P van Gurp, Niels C A M Wagemaker, A Christa Mateman, Slavica Milanovic-Ivanovic and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Molecular ecology resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Fleur GawehnsBioinformatics Unit, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0002-9236-966X
Maarten PostumaDepartment of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Morgane van AntroDepartment of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0002-7788-4866
Adam NunnecSeq Bioinformatics GmbH, Leipzig, Germany.
Bernice SepersDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Samar FatmaInstitute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany.
Thomas P van GurpDepartment of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Niels C A M WagemakerPlant Ecology and Physiology, Radboud University, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0002-8968-4546
A Christa MatemanDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Slavica Milanovic-IvanovicDepartment of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Ivo GroβeInstitute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany.
Kees van OersDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0001-6984-906X
Philippine VergeerPlant Ecology and Nature Conservation Group, Wageningen University & Research (WUR), Wageningen, the Netherlands.
Koen J F VerhoevenDepartment of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0003-3002-4102

Funding

AspasiaEU Horizon 2020 programme under Marie Skłodowska-Curie 764965NWO Open Competition ALWOP.314
6 · The paper itself

Abstract

Several reduced-representation bisulfite sequencing methods have been developed in recent years to determine cytosine methylation de novo in nonmodel species. Here, we present epiGBS2, a laboratory protocol based on epiGBS with a revised and user-friendly bioinformatics pipeline for a wide range of species with or without a reference genome. epiGBS2 is cost- and time-efficient and the computational workflow is designed in a user-friendly and reproducible manner. The library protocol allows a flexible choice of restriction enzymes and a double digest. The bioinformatics pipeline was integrated in the Snakemake workflow management system, which makes the pipeline easy to execute and modular, and parameter settings for important computational steps flexible. We implemented bismark for alignment and methylation analysis and we preprocessed alignment files by double masking to enable single nucleotide polymorphism calling with Freebayes (epiFreebayes). The performance of several critical steps in epiGBS2 was evaluated against baseline data sets from Arabidopsis thaliana and great tit (Parus major), which confirmed its overall good performance. We provide a detailed description of the laboratory protocol and an extensive manual of the bioinformatics pipeline, which is publicly accessible on github (https://github.com/nioo-knaw/epiGBS2) and zenodo (https://doi.org/10.5281/zenodo.4764652).

Indexed as

SoftwareSulfitesDNA MethylationHigh-Throughput Nucleotide SequencingSequence Analysis, DNAhydrogen sulfiteSulfitesbisulfite sequencingde novo referenceDNA methylationdouble digestnonmodel speciesreduced representationSNP calling

Identifiers

PMID35178872
PMCPMC9311447

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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.