Evidence map›Paper›PMID 40452285›Full record

ReviewJournal of experimental zoology. Part B, Molecular and developmental evolution2025

ATAC-seq in Emerging Model Organisms: Challenges and Strategies.

Duğçar Ebrar Erdoğan, Shadi Karimifard, Mozhgan Khodadadi, Liucong Ling, Luisa Linke, Ana Catalán, Vincent Doublet, Amanda Glaser-Schmitt, Oliver Niehuis, Katja Nowick and 4 more

Abstract readReview
In one paragraph

Review in Journal of experimental zoology. Part B, Molecular and developmental evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Duğçar Ebrar ErdoğanDepartment of Developmental Biology, Göttingen Center for Molecular Biosciences (GZMB), University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0001-9674-4247
Shadi KarimifardMolecular Ecology, Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany.ORCID https://orcid.org/0009-0007-0578-5061
Mozhgan KhodadadiGeneral Zoology, Institute for Biology, Martin Luther University Halle-Wittenberg, Halle, Germany.ORCID https://orcid.org/0009-0008-9139-8195
Liucong LingEvolutionary Ecology, Faculty of Biology, Biocenter, Ludwig-Maximilians-University of Munich, Planegg-Martinsried, Germany.ORCID https://orcid.org/0000-0002-1754-6902
Luisa LinkeInstitute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany.
Ana CatalánDGIMI, Univ Montpellier, INRAE, Montpellier, France.ORCID https://orcid.org/0000-0002-4543-748X
Vincent DoubletInstitute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany.ORCID https://orcid.org/0000-0002-6313-1222
Amanda Glaser-SchmittEvolutionary Biology, Faculty of Biology, Biocenter, Ludwig-Maximilians-University of Munich, Planegg-Martinsried, Germany.ORCID https://orcid.org/0000-0002-1322-1000
Oliver NiehuisDepartment Evolutionary Biology and Ecology, Institute of Biology I (Zoology), University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-4253-1849
Katja NowickInstitute for Biology, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-3993-4479
Antonella SoroGeneral Zoology, Institute for Biology, Martin Luther University Halle-Wittenberg, Halle, Germany.ORCID https://orcid.org/0000-0002-5239-2080
Natascha TuretzekEvolutionary Ecology, Faculty of Biology, Biocenter, Ludwig-Maximilians-University of Munich, Planegg-Martinsried, Germany.ORCID https://orcid.org/0000-0002-5681-2177
Barbara FeldmeyerMolecular Ecology, Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0002-0413-7245
Nico PosnienDepartment of Developmental Biology, Göttingen Center for Molecular Biosciences (GZMB), University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0003-0700-5595

Funding

This study is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of the Priority Program SPP 2349 ("Genomic Basis of Evolutionary Innovations," GEvol; project number: 458908270) - project numbers: 503325252, 503307636, 503229828, and 502998251.
6 · The paper itself

Abstract

The Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) is a versatile and widely utilized method for identifying potential regulatory regions, such as promoters and enhancers, within a genome. ATAC-seq has been successfully applied to a wide range of established and emerging model organisms. However, implementing this method in emerging model systems, such as arthropods, can be challenging due to several factors that influence data quality. These factors include the availability of a sufficient amount and quality of tissue or cells, the need for species- and tissue-specific protocol optimization, the completeness and accuracy of the reference genome, and the quality of the genome annotation. In this article, we emphasize the key steps in the ATAC-seq protocol that, based on our experience, have the greatest impact on data quality when adapting this method for emerging model organisms. Specifically, we discuss the importance of nuclei isolation, the incubation conditions of the Tn5 transposase, and PCR amplification of the library. Furthermore, we outline essential quality checkpoints during the bioinformatic analysis of ATAC-seq data to assist in assessing data integrity and consistency. Given that many emerging model organisms may not be readily available in laboratory cultures, we also emphasize the importance of evaluating how different preservation methods affect ATAC-seq data quality. Based on examples in one spider and one ant species, we demonstrate that replication and thorough quality controls at all steps of the protocol and data analysis are essential to assess the usability of ATAC-seq data. Our data highlights the importance of isolating the right number of intact nuclei, as well as ensuring optimal amplification conditions during library preparation to obtain good-quality sequence data for downstream analyses. We recommend using fresh tissue samples if possible because we show that direct cryopreservation of the tissue may affect chromatin integrity. This effect could be avoided or reduced by preserving the homogenate in cell culture medium. Overall, we explain the ATAC-seq protocol and downstream analyses in detail and give step-by-step advice to researchers who are new to the field and want to implement this method. With careful planning and validation, ATAC-seq can reveal the regulatory landscape of a genome and aid in identifying elements that govern gene expression.

Indexed as

ArthropodsChromatin Immunoprecipitation SequencingAnimalsTransposasesTransposasesATAC‐seqbenchmarkingchromatin accessibilitygene regulationinsectsprotocol optimizationquality controlspiderstissue preservation

Identifiers

PMID40452285
PMCPMC12576391

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.