Evidence map›Paper›PMID 42121349›Full record

ArticlePest management science2026

Population genetic structure and dispersal patterns of the globally invasive codling moth (Cydia pomonella) in China.

Xueping Shi, Mingli Yu, Jiayin Zheng, Faliang Qin, Xingya Wang, Xueqing Yang

Abstract read
In one paragraph

Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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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

6 authors.

Xueping ShiCollege of Plant Protection, Shenyang Agricultural University, Shenyang, China.
Mingli YuCollege of Plant Protection, Shenyang Agricultural University, Shenyang, China.
Jiayin ZhengCollege of Plant Protection, Shenyang Agricultural University, Shenyang, China.
Faliang QinCollege of Plant Protection, Shenyang Agricultural University, Shenyang, China.
Xingya WangCollege of Plant Protection, Shenyang Agricultural University, Shenyang, China.ORCID https://orcid.org/0000-0001-6850-3809
Xueqing YangCollege of Plant Protection, Shenyang Agricultural University, Shenyang, China.ORCID https://orcid.org/0000-0002-3919-8013

Funding

the National Key R&D Program of China (2021YFD1400200) and the Technology Fundamental Resources Investigation Program (2023FY100500).
6 · The paper itself

Abstract

backgroundThe codling moth Cydia pomonella, is a notorious invasive pest that poses a serious threat to China's apple industry, especially in key growing regions such as the Loess Plateau and Bohai Bay. To effectively manage this pome fruit pest, it is necessary to investigate its genetic variation and genetic structure and infer its dispersal patterns in China. Using population genetics analysis combined with an ensemble species distribution model, we aimed to reconstruct dispersal pathways in China.

resultsWe analyzed 24 populations (22 from China and 2 from Pakistan) via 10 nuclear microsatellite loci, which demonstrated high genetic diversity and significant differentiation. We also used an ensemble model to predict future potential distributions and shifts in suitable habitats. Two spatially explicit genetic clusters were detected. One genetic group included Northeast China, Gansu, and northern Xinjiang populations. The other group comprised populations from Inner Mongolia, southern Xinjiang, and Pakistan. MIGRATE-N analysis revealed low bidirectional gene flow between most populations. The predictions for 2021-2040 suggest increases in the optimal areas of 8.53 × 10

conclusionHigh genetic diversity and two distinct genetic clusters were identified, revealing significant genetic differentiation between northern/northeastern and northwestern populations. Ensemble models project a northwards shift in suitable areas, with the human impact index identified as the primary driver. Our integrated approach provides a genetic and spatial framework for developing region-specific pest management strategies. © 2026 Society of Chemical Industry.

Indexed as

Animal DistributionGenetics, PopulationGenetic VariationMothsAnimalsChinaGene FlowIntroduced SpeciesMicrosatellite RepeatsCydia pomonelladispersion pathwayecological modelinggenetic structurepest managementpotential distribution

Identifiers

PMID42121349
PMCPMC13453182

What Socratic 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 Socratic graph.