Evidence map›Paper›PMID 41967044›Full record

ArticleJournal of insect science (Online)2026

An interdisciplinary approach to investigating an invasive insect pest: tracking, phenology, and genetics of the Queensland longhorn beetle, Acalolepta aesthetica (Cerambycidae: Lamiinae).

Matthew S Siderhurst, Sheina B Sim, Jason D K Dzurisin, Franny K Brewer, Jade Miyashiro, Stacy G Chun, Nicole D Miller, Theodore J Yoder, Anika L Hurst, Renee L Corpuz and 2 more

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Matthew S SiderhurstUnited States Department of Agriculture, Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.ORCID 0000-0002-7067-0718
Sheina B SimUnited States Department of Agriculture, Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.ORCID 0000-0003-0914-6914
Jason D K DzurisinCenter for the Environmental Management of Military Lands, Colorado State University, Fort Collins, CO, USA.
Franny K BrewerBig Island Invasive Species Committee, Hilo, HI, USA.
Jade MiyashiroBig Island Invasive Species Committee, Hilo, HI, USA.
Stacy G ChunPlant Pest Control Branch, Division of Plant Industry, Hawaii Department of Agriculture, Hilo HI, USA.
Nicole D MillerEastern Mennonite University, Department of Biology, Harrisonburg, VA, USA.
Theodore J YoderEastern Mennonite University, Department of Biology, Harrisonburg, VA, USA.
Anika L HurstUnited States Department of Agriculture, Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.ORCID 0009-0003-3480-4744
Renee L CorpuzUnited States Department of Agriculture, Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.
Keena M CurbeloUnited States Department of Agriculture, Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.
Stephanie GayleUnited States Department of Agriculture, Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, HI, USA.

Funding

Development of New and Improved Surveillance, Detection, Control, and Management Technologies for Fruit Flies and Invasive Pests of Tropical and Subtropical Crops 2040-22430-027-000-DU.S. Department of Agriculture, Agricultural Research Service 2040-22430-028-000-D
6 · The paper itself

Abstract

The Queensland longhorn beetle (QLB), Acalolepta aesthetica (Olliff), was first detected in the Puna District of Hawai'i Island in 2009 and has since been observed to attack high value specialty crops such as cacao (Theobroma cacao), breadfruit (Artocarpus altilis), and citrus (Citrus spp.), as well as the culturally important kukui, Aleurites moluccanus. Endemic to the Australian states of Queensland and New South Wales, QLB had no pest status before introduction into Hawai'i. To address the lack of basic biological data on QLB, we conducted four pilot experiments to support pest management efforts. These included sequencing the CO1 region of the mitochondrial genome, observing beetle behavior in both a laboratory wind tunnel during scotophase and in the field using harmonic radar tracking, and obtaining QLB spatial distribution data through a citizen science web-based reporting application hosted by ArcGIS Online. Our results place QLB in a phylogenetic context, which will allow the development of diagnostic tools to differentiate QLB from other longhorn beetles. Behavioral observations suggest that QLB are largely sedentary, move mostly by walking with rare flights, and spend most of their time in trees. Citizen science reports suggest QLB populations are highest in May-July, beetle locations are largely restricted to elevations under 500 m, and population expansions are mostly occurring along the coast. These data combined can be applied to pest management efforts for this important and invasive agricultural pest. Further, we hope this interdisciplinary approach can serve as a framework for research response efforts to invasive insects generally.

Indexed as

Animal DistributionColeopteraIntroduced SpeciesAnimalsCitizen ScienceElectron Transport Complex IVFemaleGenome, MitochondrialHawaiiInsect ControlMalePhylogenyQueenslandElectron Transport Complex IVcitizen sciencehaplotype network analysisharmonic radarwind tunnel

Identifiers

PMID41967044
PMCPMC13071395

What OpenQuestion holds

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Registered trials

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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.