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Record W4414931723 · doi:10.1186/s12870-025-07265-4

A LjBAK1-associated E3 ubiquitin ligase, LjPUB7, negatively regulates early symbiosis by targeting NFRs

2025· article· en· W4414931723 on OpenAlexfundno aff
Yong Feng, Z. Zou, Chao Liu, Dandan Zhang, Yanan Wang, Yi Ma, Yangrong Cao, Ping Wu

Bibliographic record

VenueBMC Plant Biology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsnot available
FundersInstitute of GeneticsState Key Laboratory of Agricultural MicrobiologyInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences
KeywordsUbiquitin ligaseUbiquitinRegulatorCullinUbiquitin-Protein LigasesNodSignal transductionMutantLotus japonicus

Abstract

fetched live from OpenAlex

Nod factor receptors (NFRs) are essential for initiating symbiotic signaling in legumes, mediating rhizobial infection and nodule development. Tight regulation of NFR levels is crucial to prevent inappropriate immune responses and maintain cellular homeostasis. Co-expression of LjNFR1 and LjNFR5 triggers cell death in Nicotiana benthamiana, which is specifically inhibited by LjBAK1-mediated ubiquitination and subsequent degradation, suggesting the existence of a LjBAK1-E3 ligase complex for NFR protein turnover. Further analysis identified LjPUB7, a plant U-box E3 ubiquitin ligase in Lotus japonicus, as a regulator of early symbiotic interactions. LjPUB7 interacts with both LjBAK1 and NFRs, and directly ubiquitinates NFRs. Loss-of-function Ljpub7 mutants display increased infection thread formation, enhanced nodule development, and elevated expression of early nodulation genes. These findings reveal that LjPUB7 negatively regulates early rhizobial infection by targeting NFR1 and NFR5 for ubiquitination and degradation, thereby providing insights into the fine-tuned control of symbiotic signaling in legumes.

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)0.001
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 score0.154
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.212
Teacher spread0.201 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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