Evidence map›Paper›PMID 41933127›Full record

ArticleNature plants2026

Seed dormancy shapes gene drive dynamics in plants.

Isabel K Kim, Leqi Tian, Ryan Chaffee, Benjamin C Haller, Jackson Champer, Philipp W Messer, Jaehee Kim

Abstract read
In one paragraph

Article in Nature plants, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Isabel K Kim *Department of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0001-8877-5174
Leqi Tian *Department of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0009-0001-2791-5652
Ryan ChaffeeDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-1170-1000
Benjamin C HallerDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0003-1874-8327
Jackson ChamperCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-3814-3774
Philipp W MesserDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0001-8453-9377
Jaehee KimDepartment of Computational Biology, Cornell University, Ithaca, NY, USA. jaehee.kim@cornell.edu.ORCID http://orcid.org/0000-0002-5210-2004

Funding

Population genetics of rapid evolutionary processesR35GM152242 · NIGMS · CORNELL UNIVERSITY · PI Philipp W Messer · 2024 to 2026
$1.2M
Tree-based population genetics methods for genetic epidemiologyR35GM156957 · NIGMS · CORNELL UNIVERSITY · PI Jaehee Kim · 2025 to 2026
$712k
National Natural Science Foundation of China (National Science Foundation of China) 32270672National Natural Science Foundation of China (National Science Foundation of China) W2432018National Science Foundation (NSF) DGE2139899NIGMS NIH HHS R35 GM152242NIGMS NIH HHS R35 GM156957U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM152242U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM156957
6 · The paper itself

Abstract

Gene drives offer revolutionary potential for the management of problematic plant populations, such as invasive weeds and herbicide-resistant species, by rapidly spreading desired genetic alterations. Two recent studies have provided experimental demonstrations of engineered CRISPR gene drive systems in plants (CAIN and ClvR). However, the successful application of such systems in the field will critically depend on an accurate understanding of plant-specific life-history traits, especially seed dormancy, a ubiquitous yet frequently overlooked eco-evolutionary force. In this study, we develop a comprehensive modelling framework for gene drives in plant populations that incorporates a persistent soil seed bank. We show how the presence of a seed bank can substantially slow gene drive spread but also reduce the genetic load required to achieve population elimination. Furthermore, we show that seed banks substantially increase the required introduction frequency of threshold-dependent gene drives, which could prevent establishment in some cases, yet also provide an intrinsic biosafety mechanism for confining a highly efficient drive to a target population. Our study highlights the need to incorporate seed-bank dynamics into gene drive strategies to ensure realistic predictions and successful field applications.

Indexed as

Gene Drive TechnologyPlant DormancySeedsModels, GeneticSeed Bank

Identifiers

PMID41933127
PMCPMC13106041

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.