Evidence map›Paper›PMID 34081236›Full record

ReviewJournal of chemical ecology2021

Chemical Ecology of the Asian Longhorn Beetle, Anoplophora glabripennis.

Tian Xu, Stephen A Teale

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of chemical ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  4. Transcriptomic and metabolomic data ofFrontiers in plant science · 2026
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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

2 authors at 1 institution in 2 countries.

Tian XuCollege of Environmental Science and Forestry, State University of New York, Syracuse, NY, 13210, USA. xutian@ioz.ac.cn.ORCID http://orcid.org/0000-0001-7678-3388
Stephen A TealeCollege of Environmental Science and Forestry, State University of New York, Syracuse, NY, 13210, USA.
State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Asian longhorn beetle (ALB), Anoplophora glabripennis (Motschulsky), is a destructive forest pest in its native range, East Asia, or a high-risk invasive species in many other parts of the world. Extensive research has been directed toward the development of ALB management strategies. However, semiochemical-based trap lures, which are one of the effective tools for detecting, monitoring, and potentially assisting in eradicating cerambycids, have not reached operational efficacy for ALB to date, which is probably due to a grossly incomplete understanding of its chemical ecology. Here, we summarize the current progress in ALB chemical ecology including host selection and location, pheromone identification, trapping techniques, olfactory system, and related biology and behavior. We also briefly review the known semiochemicals in the subfamily Lamiinae, particularly the ALB congener, A. chinensis. Based on this knowledge, we highlight a potentially important role of some host-original chemicals, such as sesquiterpenes, in ALB host and mate location, and emphasize the basic studies on the biology and behavior of adult ALB. Last, we formulate suggestions for further research directions that may contribute to a better understanding of ALB chemical ecology and improved lure efficacy.

Indexed as

ColeopteraEcological and Environmental PhenomenaAnimalsForestsPheromonesPheromonesAnoplophoraChemical ecologyOlfactionPheromonesPlant volatilesSemiochemicalThe Asian longhorn beetleTrap lure

Identifiers

PMID34081236
OpenAlexW3165376015

What OpenQuestion holds

Textmetadata
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.