Evidence map›Paper›PMID 37002913›Full record

ArticleG3 (Bethesda, Md.)2023

Widespread genetic heterogeneity and genotypic grouping associated with fungicide resistance among barley spot form net blotch isolates in Australia.

Kealan Hassett, Mariano Jordi Muria-Gonzalez, Aleesha Turner, Mark S McLean, Hugh Wallwork, Anke Martin, Simon R Ellwood

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kealan HassettCentre for Crop and Disease Management, Curtin University, Bentley, WA 6102, Australia.
Mariano Jordi Muria-GonzalezCentre for Crop and Disease Management, Curtin University, Bentley, WA 6102, Australia.
Aleesha TurnerCentre for Crop and Disease Management, Curtin University, Bentley, WA 6102, Australia.
Mark S McLeanField Crops Pathology, Agriculture Victoria, Horsham, Victoria 3401, Australia.
Hugh WallworkCereal Pathology Laboratory, South Australian Research and Development Institute, Hartley Grove, Urrbrae, SA 5064, Australia.
Anke MartinCentre for Crop Health, University of Southern Queensland, Toowoomba, Queensland 4350, Australia.
Simon R EllwoodCentre for Crop and Disease Management, Curtin University, Bentley, WA 6102, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spot form net blotch, caused by Pyrenophora teres f. maculata, is a major foliar disease of barley worldwide. Knowledge of the pathogen's genetic diversity and population structure is critical for a better understanding of inherent evolutionary capacity and for the development of sustainable disease management strategies. Genome-wide, single nucleotide polymorphism data of 254 Australian isolates revealed genotypic diversity and an absence of population structure, either between states, or between fields and cultivars in different agro-ecological zones. This indicates there is little geographical isolation or cultivar directional selection and that the pathogen is highly mobile across the continent. However, two cryptic genotypic groups were found only in Western Australia, predominantly associated with genes involved in fungicide resistance. The findings in this study are discussed in the context of current cultivar resistance and the pathogen's adaptive potential.

Indexed as

Fungicides, IndustrialHordeumAustraliaGenetic HeterogeneityPlant DiseasesFungicides, Industrialdiversity arrays technologyfungal plant pathogenHordeum vulgarenecrotroph

Identifiers

PMID37002913
PMCPMC10151411

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.