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Host plant quantitative trait loci affect specific behavioral sequences in oviposition by a stem-mining insect
Andrea C Varella1, David K Weaver2, Robert K D Peterson2
1Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
Summary
Wheat stem sawfly (WSS) females discriminate host plant cues linked to genetic variations. Allelic differences in wheat quantitative trait loci (QTLs) influence WSS oviposition behavior and maternal choice for progeny survival.
Area of Science:
- Genetics
- Entomology
- Plant Breeding
Background:
- Host plant selection is crucial for phytophagous insect progeny survival.
- Insect oviposition behavior is influenced by plant-derived cues.
- Quantitative trait loci (QTLs) affecting plant traits can impact insect-herbivore interactions.
Purpose of the Study:
- To investigate if allelic variations in wheat QTLs influence wheat stem sawfly (WSS) oviposition behavior.
- To determine if WSS females can discriminate plant cues associated with specific QTLs.
- To understand the role of host plant QTLs in maternal choice and progeny performance.
Main Methods:
- Utilized wheat near-isogenic lines (NILs) for three identified QTLs associated with WSS resistance.
- Assessed WSS foraging behavior and oviposition choices on NILs with different QTL alleles.
- Evaluated host plant attractiveness and oviposition preference based on QTL variations.
Main Results:
- A QTL on chromosome 3B (Qss-msub-3BL) significantly affected WSS oviposition behavior, host preference, and field infestation.
- A QTL allele on chromosome 2D (Qwss.msub-2D) was associated with decreased WSS oviposition preference.
- A QTL on chromosome 4A (Qwss.msub-4A.1) influenced host plant attractiveness but not post-landing oviposition preference.
Conclusions:
- WSS females discriminate plant signals linked to allelic variation at host plant QTLs during oviposition.
- Maternal choices are influenced by host plant QTL alleles affecting immature progeny survival.
- This research provides insights into plant genes with ecological consequences and potential for integrated pest management of WSS.

