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Record W4410597066 · doi:10.1016/j.cell.2025.04.036

Inheritance of acquired adaptive cold tolerance in rice through DNA methylation

2025· article· en· W4410597066 on OpenAlexfundno aff
Xianwei Song, Shanjie Tang, Hui Liu, Ying Meng, Baoshan Wang, Xiuli Hou, Bin Yan, Chao Yang, Zhenhua Guo, Lizhi Wang, Jiang Shu, Xian Deng, Xiaofeng Cao

Bibliographic record

VenueCell · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
FundersYouth Innovation Promotion AssociationChinese Academy of SciencesInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesInstitute of Botany, Chinese Academy of SciencesNational Key Research and Development Program of ChinaYouth Innovation Promotion Association of the Chinese Academy of SciencesInstitute of GeneticsNorthwestern Polytechnical UniversityMinistry of Science and Technology of the People's Republic of ChinaChina Postdoctoral Science FoundationNational Natural Science Foundation of ChinaNorthwestern University
KeywordsBiologyInheritance (genetic algorithm)DNA methylationGeneticsDNAEvolutionary biologyComputational biologyGeneGene expression

Abstract

fetched live from OpenAlex

Epigenetic pathways could provide a mechanistic explanation for the inheritance of acquired characteristics, as proposed by Lamarck in 1802, but epigenetic alterations that endow adaptive hereditary traits have rarely been observed. Here, in cultivated Asian rice (Oryzasativa L.), we identified an epiallele conferring acquired and heritable cold tolerance, an adaptive trait enabling northward spread from its tropical origins. We subjected cold-sensitive rice to multigenerational cold stress and identified a line with acquired stable inheritance of cold tolerance. DNA-hypomethylation variation in the acquiredcoldtolerance 1 (ACT1) promoter region rendered its expression insensitive to cold. This change is, in large part, responsible for the acquired cold tolerance, as confirmed by DNA-methylation editing. Natural variation in ACT1 DNA hypomethylation is associated with cold tolerance and rice geographic distribution. Hypomethylation at ACT1 triggers adaptive cold tolerance, presenting a route to epigenetic-variation-driven inheritance of acquired characteristics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.100

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.260
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations67
Published2025
Admission routes1
Has abstractyes

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