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Identification of Arabidopsis accession with resistance to Botrytis cinerea by natural variation analysis, and characterization of the resistance response

2013· article· en· W2053998674 on OpenAlexaff
Mari Narusaka, Nan Yao, Atsuko Iuchi, Satoshi Iuchi, Tomonori Shiraishi, Yoshihiro Narusaka

Bibliographic record

VenuePlant Biotechnology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsInstitute for Biological Sciences
FundersNational Institute on AgingRIKENJapan Society for the Promotion of Science
KeywordsBotrytis cinereaArabidopsisBiologyEcotypeSalicylic acidInoculationArabidopsis thalianaMutantPlant disease resistanceBotanyBotrytisGenePathogenMicrobiologyGeneticsHorticulture

Abstract

fetched live from OpenAlex

Botrytis cinerea is a ubiquitous necrotrophic fungal pathogen that infects over 200 different plant species. We have analyzed 17 Arabidopsis ecotypes for natural variations in their susceptibility to B. cinerea, and found compatible and incompatible Arabidopsis–Botrytis interactions. We determined that Arabidopsis ecotype Ler is resistant to 5 B. cinerea isolates used in this study. To further investigate the roles of the salicylic acid (SA)-dependent defense response pathways against B. cinerea, we inoculated various Arabidopsis mutants with the pathogen. Arabidopsis Ler plants expressing the nahG gene inoculated with B. cinerea showed as much resistance as the parental plants (Ler-wild type). The sgt1b-1 and rar1-10 mutants also showed resistance to the pathogen. In this study, we discuss the natural variations in the symptoms observed among various ecotypes upon inoculation with B. cinerea. In addition, SA plays only a minor role in preventing systemic infection with B. cinerea.

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 score0.528
Threshold uncertainty score0.113

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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