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Record W4317911200 · doi:10.1186/s12870-023-04062-9

IPA1 improves drought tolerance by activating SNAC1 in rice

2023· article· en· W4317911200 on OpenAlexfundno aff
Feihe Chen, Haomin Zhang, Hong Li, Ling Lian, Yidong Wei, Yuelong Lin, Lanning Wang, Wei He, Qiuhua Cai, Hong‐Guang Xie, Hua Zhang, Jianfu Zhang

Bibliographic record

VenueBMC Plant Biology · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsnot available
FundersInstitute of GeneticsInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences
KeywordsBiologyOryza sativaAbscisic acidDrought toleranceReactive oxygen speciesAbiotic stressBotanyGeneGenetically modified riceAbiotic componentReporter geneCell biologyBiochemistryGene expressionGenetically modified cropsTransgene

Abstract

fetched live from OpenAlex

Abstract Drought is a major abiotic stress to rice ( Oryza sativa ) during growth. Ideal Plant Architecture ( IPA1 ), the first cloned gene controlling the ideal plant type in rice, has been reported to function in both ideal rice plant architecture and biotic resistance. Here, we report that the IPA1/OsSPL14 , encoding a transcriptional factor, positively regulates drought tolerance in rice. The IPA1 is constitutively expressed and regulated by H 2 O 2 , abscisic acid, NaCl and polyethylene glycol 6000 treatments in rice. Furthermore, the I PA1 -knockout plants showed much greater accumulation of H 2 O 2 as measured by 3,3′-diaminobenzidine staining in leaves compared with WT plants. Yeast one-hybrid, dual-luciferase and electrophoretic mobility shift assays indicated that the IPA1 directly activates the promoter of SNAC1 . Expression of SNAC1 is significantly down-regulated in IPA1 knockout plants. Further investigation indicated that the IPA1 plays a positive role in drought-stress tolerance by inducing reactive oxygen species scavenging in rice. Together, these findings indicated that the IPA1 played important roles in drought tolerance by regulating SNAC1 , thus activating the antioxidant system in rice.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.239

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 head0.025
GPT teacher head0.239
Teacher spread0.215 · 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

Citations41
Published2023
Admission routes1
Has abstractyes

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