Evidence map›Paper›PMID 26788117›Full record

ArticlePlant methods2016

Automated video tracking of thrips behavior to assess host-plant resistance in multiple parallel two-choice setups.

Manus P M Thoen, Karen J Kloth, Gerrie L Wiegers, Olga E Krips, Lucas P J J Noldus, Marcel Dicke, Maarten A Jongsma

Abstract read
In one paragraph

Article in Plant methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Manus P M ThoenLaboratory of Entomology, Wageningen University, P.O. Box 16, 6700 AA Wageningen, The Netherlands ; Laboratory of Plant Physiology, Wageningen University, P.O. Box 658, 6700 AR Wageningen, The Netherlands ; PRI-Bioscience, Wageningen University and Research Center, P.O. Box 16, 6700 AA Wageningen, The Netherlands.
Karen J KlothLaboratory of Entomology, Wageningen University, P.O. Box 16, 6700 AA Wageningen, The Netherlands ; Laboratory of Plant Physiology, Wageningen University, P.O. Box 658, 6700 AR Wageningen, The Netherlands ; PRI-Bioscience, Wageningen University and Research Center, P.O. Box 16, 6700 AA Wageningen, The Netherlands.
Gerrie L WiegersLaboratory of Entomology, Wageningen University, P.O. Box 16, 6700 AA Wageningen, The Netherlands ; PRI-Bioscience, Wageningen University and Research Center, P.O. Box 16, 6700 AA Wageningen, The Netherlands.
Olga E KripsNoldus Information Technology B.V., P.O. Box 268, 6700 AG Wageningen, The Netherlands.
Lucas P J J NoldusNoldus Information Technology B.V., P.O. Box 268, 6700 AG Wageningen, The Netherlands.
Marcel DickeLaboratory of Entomology, Wageningen University, P.O. Box 16, 6700 AA Wageningen, The Netherlands.
Maarten A JongsmaPRI-Bioscience, Wageningen University and Research Center, P.O. Box 16, 6700 AA Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPiercing-sucking insects cause severe damage in crops. Breeding for host-plant resistance can significantly reduce the yield losses caused by these insects, but host-plant resistance is a complex trait that is difficult to phenotype quickly and reliably. Current phenotyping methods mainly focus on labor-intensive and time-consuming end-point measurements of plant fitness. Characterizing insect behavior as a proxy for host-plant resistance could be a promising time-saving alternative to end-point measurements.

resultsWe present a phenotyping platform that allows screening for host-plant resistance against Western flower thrips (WFT, Frankliniella occidentalis (Pergande)) in a parallel two-choice setup using automated video tracking of thrips behavior. The platform was used to establish host-plant preference of WFT with a large plant population of 345 wild Arabidopsis accessions and the method was optimized with two extreme accessions from this population that differed in resistance towards WFT. To this end, the behavior of 88 WFT individuals was simultaneously tracked in 88 parallel two-choice arenas during 8 h. Host-plant preference of WFT was established both by the time thrips spent on either accession and various behavioral parameters related to movement (searching) and non-movement (feeding) events.

conclusionIn comparison to 6-day end-point choice assays with whole plants or detached leaves, the automated video-tracking choice assay developed here delivered similar results, but with higher time- and resource efficiency. This method can therefore be a reliable and effective high throughput phenotyping tool to assess host-plant resistance to thrips in large plant populations.

Indexed as

ArabidopsisAutomated video trackingHigh-throughput phenotypingHost-plant resistanceWestern flower thrips

Identifiers

PMID26788117
PMCPMC4717623

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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.