Evidence map›Paper›PMID 32469925›Full record

ArticlePloS one2020

Modeling Aceria tosichella biotype distribution over geographic space and time.

Luaay Khalaf, Alicia Timm, Wen-Po Chuang, Laramy Enders, T J Hefley, C Michael Smith

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Pest categorisation of High Plains wheat mosaic virus.EFSA journal. European Food Safety Authority · 2022
    Article
  3. 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

6 authors at 5 institutions in 3 countries.

Luaay KhalafDepartment of Entomology, Kansas State University, Manhattan, Kansas, United States of America.
Alicia TimmDepartment of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado, United States of America.
Wen-Po ChuangDepartment of Agronomy, National Taiwan University, Taipei, Taiwan.
Laramy EndersDepartment of Entomology, Purdue University, West Lafayette, Indiana, United States of America.
T J HefleyDepartment of Statistics, Kansas State University, Manhattan, Kansas, United States of America.
C Michael SmithDepartment of Entomology, Kansas State University, Manhattan, Kansas, United States of America.ORCID 0000-0002-9809-2163
Kansas State University · USColorado State University · USNational Taiwan University · TWPurdue University West Lafayette · USUniversity of Baghdad · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wheat curl mite, Aceria tosichella Keifer, one of the most destructive arthropod pests of bread wheat worldwide, inflicts significant annual reductions in grain yields. Moreover, A. tosichella is the only vector for several economically important wheat viruses in the Americas, Australia and Europe. To date, mite-resistant wheat genotypes have proven to be one of the most effective methods of controlling the A. tosichella-virus complex. Thus, it is important to elucidate A. tosichella population genetic structure, in order to better predict improved mite and virus management. Two genetically distinct A. tosichella lineages occur as pests of wheat in Australia, Europe, North America, South America and the Middle East. These lineages are known as type 1 and type 2 in Australia and North America and in Europe and South America as MT-8 and MT-1, respectively. Type 1 and type 2 mites in Australia and North America are delineated by internal transcribed spacer 1 region (ITS1) and cytochrome oxidase I region (COI) sequence differences. In North America, two A. tosichella genotypes known as biotypes are recognized by their response to the Cmc3 mite resistance gene in wheat. Aceria tosichella biotype 1 is susceptible to Cmc3 and biotype 2 is virulent to Cmc3. In this study, ITS1 and COI sequence differences in 25 different populations of A. tosichella of known biotype 1 or biotype 2 composition were characterized for ITS1 and COI sequence differences and used to model spatio-temporal dynamics based on biotype prevalence. Results showed that the proportion of biotype 1 and 2 varies both spatially and temporally. Greater ranges of cropland and grassland within 5000m of the sample site, as well as higher mean monthly precipitation during the month prior to sampling appear to reduce the probability of occurrence of biotype 1 and increase the probability of occurrence of biotype 2. The results suggest that spatio-temporal modeling can effectively improve A. tosichella management. Continual integration of additional current and future precipitation and ground cover data into the existing model will further improve the accuracy of predicting the occurrence of A. tosichella in annual wheat crops, allowing producers to make informed decisions about the selection of varieties with different A. tosichella resistance genes.

Indexed as

AnimalsArachnid VectorsDisease ResistanceEdible GrainGenes, PlantGenetics, PopulationGenotypeMidwestern United StatesMitesModels, BiologicalPhylogenyPhylogeographyPlant DiseasesSpatio-Temporal AnalysisTexasTriticum

Identifiers

PMID32469925
PMCPMC7259573
OpenAlexW3031655315

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.