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Population Genetics of Three Important Head Blight Pathogens <i>Fusarium graminearum, F. pseudograminearum</i> and <i>F. culmorum</i>

2008· article· en· W2014187029 on OpenAlexaboutno aff
Thomas Miedaner, Christian Joseph R. Cumagun, S. Chakraborty

Bibliographic record

VenueJournal of Phytopathology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyGibberella zeaeOutcrossingGene flowPopulationHomothallismFusarium culmorumHeterothallicFusariumGenetic diversityGeneticsPopulation geneticsPhytophthora infestansEvolutionary biologyMating typeGenetic variationBotanyGene

Abstract

fetched live from OpenAlex

Abstract Homothallic Fusarium graminearum (teleomorph Gibberella zeae) and anamorphic F. culmorum are destructive pathogens causing Fusarium head blight (FHB) of small‐grain cereals worldwide, while heterothallic F. pseudograminearum (G. coronicola) seems to be restricted to Australia as a FHB pathogen. In a comprehensive treatise of pathogen population genetics, this review summarizes global knowledge of genetic diversity among isolates sampled at various spatial and temporal scales, examines the mechanisms that generate this diversity and explores the implications of pathogen diversity and plasticity to resistance breeding. Despite their different modes of reproduction, there is large variation among isolates of all three species originating from different countries and continents. With a few exceptions, haplotype diversity ranges from 60 to 100% even within populations from individual fields. In F. graminearum, over 90% of the variation is found within populations, even when samples are collected from areas as small as 0.25 m2. Variation among populations is low (4–8%) with negligible population subdivision. This indicates a high level of gene flow (Nm = 8–71) with linkage equilibrium for the majority of selectively neutral molecular marker loci analysed. These findings for F. graminearum point to large random mating populations driven by occasional outcrossing, high gene flow across large geographical distances and a relatively low host‐mediated directional selection. Similar conclusions can be drawn for the Canadian population of F. pseudograminearum, but not for populations from Australia, where different pathogen ecology may have reduced the frequency of sexual recombination. Phylogenetic analyses indicate delineation of lineages in F. graminearum, often along geographically separated lines, while the related F. pseudograminearum is a single recombining species with limited or no lineage development. The anamorphic F. culmorum shows no obvious clonal structure in its population as might have been expected. High levels of diversity within fields may have been caused by balancing selection from frequent alternation between saprophytic and parasitical life cycle and/or a hidden or recently extinct teleomorph. Other mechanisms including parasexual cycles or active transposable elements may also be involved but these have not been investigated as yet. Crosses between and among F. graminearum lineages have shown a rather simple, additive inheritance of pathogenicity and aggressiveness with frequent transgressive segregation in crosses among isolates with moderate aggressiveness. This raises the spectre of highly aggressive and/or toxigenic isolates evolving if a limited range of quantitative trait locus for FHB resistance is deployed on a large scale. Combining more than one genetically distinct sources of resistance, possibly with different modes of action against the pathogen, will be necessary to avoid severe FHB outbreaks in the future.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.219
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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

Citations140
Published2008
Admission routes1
Has abstractyes

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