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Record W1996014015 · doi:10.1038/ncomms2354

Transgenerational gene silencing causes gain of virulence in a plant pathogen

2013· article· en· W1996014015 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNature Communications · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsAgriculture and Agri-Food Canada
FundersBC Cancer AgencyAgriculture and Agri-Food Canada
KeywordsBiologyGene silencingEffectorVirulenceGeneGeneticsPhytophthora sojaeRNA silencingRNA interferenceRNACell biology

Abstract

fetched live from OpenAlex

Avirulence (Avr) genes of plant pathogens encode effector proteins that trigger immunity in plants carrying appropriate resistance (R) genes. The Phytophthora sojae Avr3a gene displays allelic variation in messenger RNA transcript levels. P. sojae strains with detectable Avr3a gene transcripts are avirulent on plants carrying the R-gene Rps3a, whereas strains lacking Avr3a mRNA escape detection by Rps3a and are virulent. Here we show non-Mendelian interactions between naturally occurring Avr3a alleles that result in transgenerational gene silencing, and we identify small RNA molecules of 25 nucleotides that are abundant in gene-silenced strains but not in strains with Avr3a mRNA. This example of transgenerational gene silencing is exceptional because it is naturally occurring and results in gain of virulence in a pathogenic organism. Plant pathogens encode effector proteins that trigger immunity in plants carrying appropriate resistance genes. Here Qutob et al. show non-Mendelian interactions between naturally occurring Phytophthora sojaealleles that result in transgenerational gene silencing and gain of virulence in soybean plants.

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.

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 score0.802
Threshold uncertainty score0.615

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 science0.0010.000
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 head0.031
GPT teacher head0.254
Teacher spread0.223 · 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