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Record W2807019399 · doi:10.1080/07060661.2018.1483968

The EF-Tu epitope elf26 of <i>Ralstonia solanacearum</i> can promote resistance to bacterial wilt disease in <i>Nicotiana</i> species

2018· article· en· W2807019399 on OpenAlexvenueno aff
Xiaojing Fan, Zhiwen Zhao, Yanjiao Li, Tao Zhuo, Xun Hu, Huasong Zou

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsRalstonia solanacearumNicotiana benthamianaBacterial wiltBiologyCalloseNicotiana tabacumMicrobiologyPlant disease resistanceNicotianaInnate immune systemArabidopsis thalianaBacterial diseaseBotanyPathogenGeneGeneticsSolanaceaeImmune system

Abstract

fetched live from OpenAlex

Elongation factor Tu (EF-Tu) from bacterial plant pathogens acts as a pathogen-associated molecular pattern (PAMP), which elicits the first line of defence of innate immunity. Ralstonia solanacearum is the causal agent of bacterial wilt in many Solanaceous plants, including Nicotiana tabacum and N. benthamiana. Here, we report that R. solanacearum EF-Tu can promote the resistance of Nicotiana plants to wilt disease. A synthetic elf26 epitope of R. solanacearum EF-Tu induced a clear accumulation of callose and hydrogen peroxide in Arabidopsis thaliana. It was very striking that elf26 induced the expression of PTI marker genes as well as a low dose of callose and hydrogen peroxide accumulation in N. tabacum as EF-Tu triggering innate immunity was previously considered to be Brassicaceae specific. Although innate immunity was not found in N. benthamiana, the defence-related PR1a gene was induced. Thus, elf26 treatments enhanced the resistance of N. tabacum and N. benthamiana plants to R. solanacearum. Together, our findings demonstrated that the R. solanacearum elf26 epitope functions as a PAMP and can promote resistance to bacterial wilt disease in Nicotiana spp.

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)0.001
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 score0.926
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.012
GPT teacher head0.187
Teacher spread0.174 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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