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Record W4239928801 · doi:10.21203/rs.3.rs-34136/v2

Mediation of the salicylic acid pathway by ROS1 in response to abiotic stresses

2020· preprint· en· W4239928801 on OpenAlexfundno aff
Liping Yang, Taicheng Jin, Yanju Wu, Chenjing Lang, Dawei Meng, Yue Wang, Xiaofu Zhou

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
FundersChinese Academy of SciencesDirectorate for Biological SciencesInstitute of GeneticsNational Natural Science Foundation of ChinaDepartment of Finance of Jilin ProvincePeople's Government of Jilin Province
KeywordsMediationSalicylic acidAbiotic componentAbiotic stressChemistryBiologySociologyBiochemistryGeneEcologySocial science

Abstract

fetched live from OpenAlex

Abstract Background: DNA methylation plays an important role in the growth and development of plants in response to various abiotic stresses. Salicylic acid (SA) is an important signaling molecule that is synthesized by plants and induces the expression of defense genes. Results: In this paper, we investigated the molecular mechanisms by which an upstream regulator ( ACD6 ) in the SA pathway, an ABA pathway-related gene ( ACO3) , and a stress resistance gene ( GSTF14 ) were induced by various abiotic stresses. The results demonstrated that abiotic stresses, including drought, cold, and salt stresses, induced the demethylation of the repeats in the promoters of ACD6 , ACO3 , and GSTF14 and transcriptionally activated their expression. Furthermore, our results revealed that ROS1-mediated DNA demethylation plays an important role in the process of transcriptional activation of ACD6 and GSTF14 when Arabidopsis plants were under cold stress. Conclusion: Our results confirmed that ROS1 plays an important role in the process of defense genes in the SA pathway and stress resistance gene GSTF14 in response to abiotic stresses.

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)0.019
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.033
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.007
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0050.010
Research integrity0.0010.006
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 head0.132
GPT teacher head0.392
Teacher spread0.260 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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