Evidence map›Paper›PMID 35698034›Full record

ArticleBMC bioinformatics2022

GenErode: a bioinformatics pipeline to investigate genome erosion in endangered and extinct species.

Verena E Kutschera, Marcin Kierczak, Tom van der Valk, Johanna von Seth, Nicolas Dussex, Edana Lord, Marianne Dehasque, David W G Stanton, Payam Emami Khoonsari, Björn Nystedt and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Ancient environmental genome reveals a migratory brown bear individual in Early Holocene Scandinavia.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  14. Genome analyses suggest recent speciation and postglacial isolation in the Norwegian lemming.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Using sedimentary ancient DNA in coastal and marine contexts to explore past human-environmental interactions in Australia.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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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

12 authors at 3 institutions in 1 country.

Verena E KutscheraDepartment of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden. verena.kutschera@scilifelab.se.ORCID https://orcid.org/0000-0002-8930-534X
Marcin KierczakDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-2629-5655
Tom van der ValkDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Johanna von SethCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.
Nicolas DussexCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.
Edana LordCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.
Marianne DehasqueCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.
David W G StantonCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.
Payam Emami KhoonsariDepartment of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden.
Björn NystedtDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Love DalénCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.
David Díez-Del-MolinoCentre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden. diez.molino@gmail.com.ORCID http://orcid.org/0000-0002-9701-5940
Stockholm University · SEUppsala University · SESwedish Museum of Natural History · SE

Funding

Carl Tryggers Stiftelse för Vetenskaplig Forskning 17:109Carl Tryggers Stiftelse för Vetenskaplig Forskning 19:257H2020 Marie Skłodowska-Curie Actions 796877Knut och Alice Wallenbergs Stiftelse National Bioinformatics Infrastructure Sweden at SciLifeLabSvenska Forskningsrådet Formas 2015-676Swiss National Science Foundation P2SKP3_165031Swiss National Science Foundation P300PA_177845Vetenskapsrådet 2017-04647Vetenskapsrådet 2018-05973
6 · The paper itself

Abstract

backgroundMany wild species have suffered drastic population size declines over the past centuries, which have led to 'genomic erosion' processes characterized by reduced genetic diversity, increased inbreeding, and accumulation of harmful mutations. Yet, genomic erosion estimates of modern-day populations often lack concordance with dwindling population sizes and conservation status of threatened species. One way to directly quantify the genomic consequences of population declines is to compare genome-wide data from pre-decline museum samples and modern samples. However, doing so requires computational data processing and analysis tools specifically adapted to comparative analyses of degraded, ancient or historical, DNA data with modern DNA data as well as personnel trained to perform such analyses.

resultsHere, we present a highly flexible, scalable, and modular pipeline to compare patterns of genomic erosion using samples from disparate time periods. The GenErode pipeline uses state-of-the-art bioinformatics tools to simultaneously process whole-genome re-sequencing data from ancient/historical and modern samples, and to produce comparable estimates of several genomic erosion indices. No programming knowledge is required to run the pipeline and all bioinformatic steps are well-documented, making the pipeline accessible to users with different backgrounds. GenErode is written in Snakemake and Python3 and uses Conda and Singularity containers to achieve reproducibility on high-performance compute clusters. The source code is freely available on GitHub ( https://github.com/NBISweden/GenErode ).

conclusionsGenErode is a user-friendly and reproducible pipeline that enables the standardization of genomic erosion indices from temporally sampled whole genome re-sequencing data.

Indexed as

Computational BiologyGenomeAnimalsEndangered SpeciesGenomicsReproducibility of ResultsSoftwareAncient DNABioinformaticsConservation genomicsEndangered speciesReproducibilitySnakemakeTemporal genomic erosionWhole genome re-sequencing data

Identifiers

PMID35698034
PMCPMC9195343
OpenAlexW4282599923

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.