Evidence map›Paper›PMID 40028766›Full record

ReviewThe Plant journal : for cell and molecular biology2025

Arabidopsis research in 2030: Translating the computable plant.

Siobhan Brady, Gabriela Auge, Mentewab Ayalew, Sureshkumar Balasubramanian, Thorsten Hamann, Dirk Inze, Kazuki Saito, Galina Brychkova, Tanya Z Berardini, Joanna Friesner and 12 more

Erratum issuedAbstract readReview
In one paragraph

Review in The Plant journal : for cell and molecular biology, 2025. 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Editorial: ICAR2024 highlights.Frontiers in plant science · 2026
    Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Siobhan BradyHoward Hughes Medical Institute, University of California Davis, Davis, California, USA.ORCID 0000-0001-9424-8055
Gabriela AugeInstitute for Agrobiotechnology and Molecular Biology, Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina.ORCID 0000-0002-6797-5668
Mentewab AyalewSpelman College, Atlanta, Georgia, USA.
Sureshkumar BalasubramanianSchool of Biological Sciences, Monash University, Melbourne, Victoria, Australia.
Thorsten HamannDepartment of Biology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Dirk InzeUniversity of Gent Center for Plant Systems Biology, Ghent, Belgium.
Kazuki SaitoRIKEN Center for Sustainable Resource Science, Yokohama, Japan.
Galina BrychkovaSchool of Biological & Chemical Sciences, Ryan Institute, University of Galway, Galway, Ireland.
Tanya Z BerardiniThe Arabidopsis Information Resource/Phoenix Bioinformatics, Newark, California, USA.
Joanna FriesnerNorth American Arabidopsis Steering Committee, Corvallis, Oregon, USA.
Cheng-Hsun HoAgricultural Biotechnology Research Centre, Academia Sinica, Taipei, Taiwan.
Marie-Theres HauserBOKU University, Vienna, Austria.ORCID 0000-0001-8938-2460
Masatomo KobayashiRIKEN BioResource Research Centre, Yokohama, Japan.
Loic LepiniecAgroParisTech, Institut Jean-Pierre Bourgin for Plant Sciences (IJPB), Universite Paris-Saclay, INRAE, Versailles, 78000, France.
Ari Pekka MähönenFaculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Marek MutwilNanyang Technological University, Singapore, Singapore.
Sean MayUniversity of Nottingham, Nottingham, UK.
Geraint ParryAssociation of Applied Biologists, Wellesbourne, UK.
Stamatis RigasAgricultural University of Athens, Athens, Greece.
Anna N StepanovaDepartment of Plant and Microbial Biology, Genetics and Genomics Academy, North Carolina State University, Raleigh, 27695, North Carolina, USA.ORCID 0000-0003-1018-4758
Mary WilliamsAmerican Society of Plant Biology, Rockville, Maryland, USA.
Nicholas J ProvartDepartment of Cell & Systems Biology/Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5551-7232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are essential for human survival. Over the past three decades, work with the reference plant Arabidopsis thaliana has significantly advanced plant biology research. One key event was the sequencing of its genome 25 years ago, which fostered many subsequent research technologies and datasets. Arabidopsis has been instrumental in elucidating plant-specific aspects of biology, developing research tools, and translating findings to crop improvement. It not only serves as a model for understanding plant biology and but also biology in other fields, with discoveries in Arabidopsis also having led to applications in human health, including insights into immunity, protein degradation, and circadian rhythms. Arabidopsis research has also fostered the development of tools useful for the wider biological research community, such as optogenetic systems and auxin-based degrons. This 4th Multinational Arabidopsis Steering Committee Roadmap outlines future directions, with emphasis on computational approaches, research support, translation to crops, conference accessibility, coordinated research efforts, climate change mitigation, sustainable production, and fundamental research. Arabidopsis will remain a nexus for discovery, innovation, and application, driving advances in both plant and human biology to the year 2030, and beyond.

Indexed as

ArabidopsisCrops, AgriculturalGenome, PlantHumansResearchAIArabidopsis thalianagene regulatory networksgenomicsmodel systemtranslational research

Identifiers

PMID40028766
PMCPMC11874203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.