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

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

Background: Piercing-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. Results: We 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. Conclusion: In 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.

Original languageEnglish
Pages (from-to)1-12
JournalPlant Methods
Volume12
Issue number1
DOIs
Publication statusPublished - 2016

Fingerprint

Thysanoptera
host plants
phenotype
Frankliniella occidentalis
Insects
insect behavior
crop damage
insects
assays
Endpoint Determination
Population
labor
Proxy
methodology
Arabidopsis
screening
breeding

Keywords

  • Arabidopsis
  • Automated video tracking
  • High-throughput phenotyping
  • Host-plant resistance
  • Western flower thrips
  • 016-3910

Cite this

@article{2f7b5e35a2eb4f28a20f26fac060ce94,
title = "Automated video tracking of thrips behavior to assess host-plant resistance in multiple parallel two-choice setups",
abstract = "Background: Piercing-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. Results: We 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. Conclusion: In 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.",
keywords = "Arabidopsis, Automated video tracking, High-throughput phenotyping, Host-plant resistance, Western flower thrips, 016-3910",
author = "Thoen, {Manus P.M.} and Kloth, {Karen J.} and Wiegers, {Gerrie L.} and Krips, {Olga E.} and Noldus, {Lucas P.J.J.} and Marcel Dicke and Jongsma, {Maarten A.}",
year = "2016",
doi = "10.1186/s13007-016-0102-1",
language = "English",
volume = "12",
pages = "1--12",
journal = "Plant Methods",
issn = "1746-4811",
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Automated video tracking of thrips behavior to assess host-plant resistance in multiple parallel two-choice setups. / Thoen, Manus P.M.; Kloth, Karen J.; Wiegers, Gerrie L.; Krips, Olga E.; Noldus, Lucas P.J.J.; Dicke, Marcel; Jongsma, Maarten A.

In: Plant Methods, Vol. 12, No. 1, 2016, p. 1-12.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Automated video tracking of thrips behavior to assess host-plant resistance in multiple parallel two-choice setups

AU - Thoen, Manus P.M.

AU - Kloth, Karen J.

AU - Wiegers, Gerrie L.

AU - Krips, Olga E.

AU - Noldus, Lucas P.J.J.

AU - Dicke, Marcel

AU - Jongsma, Maarten A.

PY - 2016

Y1 - 2016

N2 - Background: Piercing-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. Results: We 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. Conclusion: In 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.

AB - Background: Piercing-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. Results: We 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. Conclusion: In 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.

KW - Arabidopsis

KW - Automated video tracking

KW - High-throughput phenotyping

KW - Host-plant resistance

KW - Western flower thrips

KW - 016-3910

U2 - 10.1186/s13007-016-0102-1

DO - 10.1186/s13007-016-0102-1

M3 - Article

VL - 12

SP - 1

EP - 12

JO - Plant Methods

JF - Plant Methods

SN - 1746-4811

IS - 1

ER -