Evidence map›Paper›PMID 36558871›Full record

ArticlePathogens (Basel, Switzerland)2022

Surveillance, Diversity and Vegetative Compatibility Groups of Fusarium oxysporum f. sp. vasinfectum Collected in Cotton Fields in Australia (2017 to 2022)

Duy P Le, Chi P T Nguyen, Dinesh Kafle, Linda Scheikowski, Janelle Montgomery, Emma Lambeth, Amanda Thomas, Kieran O'Keeffe, Beth Shakeshaft, Alison Young and 5 more

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Genetic and Pathogenic Differentiation ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. Assessing the Pathogenicity ofJournal of fungi (Basel, Switzerland) · 2024
    Article
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

15 authors at 2 institutions in 1 country.

Duy P LeNew South Wales Department of Primary Industries, Narrabri, NSW 2390, Australia.
Chi P T NguyenNew South Wales Department of Primary Industries, Narrabri, NSW 2390, Australia.
Dinesh KafleQueensland Department of Agriculture and Fisheries, Dutton Park, QLD 4102, Australia.ORCID 0000-0002-1009-3867
Linda ScheikowskiQueensland Department of Agriculture and Fisheries, Toowoomba, QLD 4350, Australia.
Janelle MontgomeryCottonInfo, Moree, NSW 2400, Australia.
Emma LambethCottonInfo, Wee Waa, NSW 2388, Australia.
Amanda ThomasCottonInfo, Warren, NSW 2824, Australia.
Kieran O'KeeffeCottonInfo, Griffith, NSW 2680, Australia.
Beth ShakeshaftNew South Wales Department of Primary Industries, Yanco, NSW 2703, Australia.
Alison YoungNew South Wales Department of Primary Industries, Yanco, NSW 2703, Australia.
Andrew MckayCottonInfo, St. George, QLD 4487, Australia.
Annabel TwineCottonInfo, Dalby, QLD 4405, Australia.
Elsie HudsonCotton Research and Development Corporation, Goondiwindi, QLD 4390, Australia.
Rodney JacksonNew South Wales Department of Primary Industries, Narrabri, NSW 2390, Australia.
Linda J SmithQueensland Department of Agriculture and Fisheries, Dutton Park, QLD 4102, Australia.ORCID 0000-0001-8629-9610
Cotton Research and Development Corporation · AUNew South Wales Department of Primary Industries · AU

Funding

Cotton Research and Development Corporation RRDP1724, DAQ2002, DAN1703 and DAN2101
6 · The paper itself

Abstract

Cotton (Gossypium hirsutum) is a billion-dollar crop in regional New South Wales (NSW) and Queensland, Australia. Fusarium wilt (FW) caused by Fusarium oxysporum f. sp. vasinfectum (Fov) is an economically important disease. Initial disease losses of up to 90% when the disease was first detected resulted in fields being taken out of cotton production. The disease is now well-managed due to the adoption of highly resistant varieties. However, annual disease surveys recently revealed that the disease dynamic has changed in the past few seasons. With relatively mild and wet weather conditions during the 2021/22 growing season, FW was detected in eight surveyed valleys in NSW and Queensland, with the disease incidence as high as 44.5% and 98.5% in individual fields in early and late seasons, respectively. Fov is genetically distinct and evolved from local Fusarium oxysporum strains. Additionally, the pathogen was reported to evolve rapidly under continuous cotton cropping pressure. However, our knowledge of the genetic composition of the prevailing population is limited. Sequences of the translation elongation factor alpha 1 (TEF1) revealed that 94% of Fusarium isolates recovered from FW-infected cotton were clustered together with known Australian Fov and relatively distant related to overseas Fov races. All these isolates, except for nine, were further confirmed positive with a specific marker based on the Secreted in Xylem 6 (SIX6) effector gene. Vegetative compatibility group (VCG) analyses of 166 arbitrarily selected isolates revealed a predominance of VCG01111. There was only one detection of VCG01112 in the Border Rivers valley where it was first described. In this study, the exotic Californian Fov race 4 strain was not detected using a specific marker based on the unique Tfo1 insertion in the phosphate (PHO) gene. This study indicated that the prevalence and abundance of Fov across NSW and Queensland in the past five seasons was probably independent of its genetic diversity.

Indexed as

cotton diseasesexotic pathogenFusarium racesvascular discolourationvascular wilt

Identifiers

PMID36558871
PMCPMC9783871
OpenAlexW4311492964

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.