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Dothistromin biosynthesis genes allow inter‐ and intraspecific differentiation between Dothistroma pine needle blight fungi

2010· article· en· W1538159229 on OpenAlexaboutno aff
Rebecca L. McDougal, Arne Schwelm, Rosie E. Bradshaw

Bibliographic record

VenueForest Pathology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyBlightRestriction fragment length polymorphismGeneticsGeneBotanyIntraspecific competitionIntergenic regionPolymerase chain reactionEcologyGenome

Abstract

fetched live from OpenAlex

Summary Dothistroma septosporum and D. pini are the causal agents of Dothistroma needle blight (DNB) of Pinus spp. in natural forests and plantations. The main aim of this study was to develop molecular diagnostic procedures to distinguish between isolates within D. septosporum , for use in biosecurity and forest health surveillance programmes. This is of particular interest for New Zealand where the population is clonal and introduction of a new isolate of the opposite mating type could have serious consequences. Areas of diversity in the dothistromin toxin gene clusters were identified in D. septosporum (51 isolates) and D. pini (6 isolates) and used as the basis of two types of diagnostic tests. PCR‐restriction fragment length polymorphism (RFLP) of part of the dothistromin polyketide synthase gene ( pksA ) enabled distinction between two groups of D. septosporum isolates (A and B) as well as distinguishing D. septosporum and D. pini . The intergenic region between the epoA and avfA genes allowed further resolution between some of the A group isolates in RFLP assays. These regions were analysed further to develop a rapid real‐time PCR method for diagnosis by high‐resolution melting (HRM) curve analysis. The pksA gene enabled rapid discrimination between D. septosporum and D. pini , whilst the epoA–avfA region distinguished the New Zealand isolate from most other isolates in the collection, including some isolates from DNB epidemics in Canada and Europe. Although this study is focused on differences between the New Zealand isolate and other global isolates, this type of diagnostic system could be used more generally for high‐throughput screening of D. septosporum isolates.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.864

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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 designObservational
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

Citations9
Published2010
Admission routes1
Has abstractyes

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