Seasonal genetic variation and genetic structure of Spodoptera exigua in Liaoning Province, Northeast China: insights from 11 years of microsatellite data

The beet armyworm (BAW), , is a destructive migratory pest worldwide that has caused severe economic losses in China's major crop-producing regions. To control this pest effectively, it is crucial to investigate its seasonal genetic variation and population genetic structure in northern China....

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Vydané v:PeerJ (San Francisco, CA) Ročník 13; s. e19243
Hlavní autori: Yu, Ming-Li, Xiu, Xian-Zhi, Wang, Jin-Yang, Cao, Xin-Yi, Qin, Fa-Liang, Wang, Xing-Ya, Zhou, Li-Hong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States PeerJ. Ltd 02.04.2025
PeerJ, Inc
PeerJ Inc
Predmet:
Agricultural Science
Animals
Army-worms
Bioinformatics
China
Control
Economic impact
Entomology
Environmental aspects
Genetic aspects
Genetic diversity
Genetic structure
Genetic Variation
Genetics, Population
Genomics
Microsatellite Repeats - genetics
Microsatellites
Migration
Missing data
Pests
Pheromones
Polymorphism
Population genetics
Populations
Private property
Seasonal variation
Seasonal variations
Seasons
Software
Spodoptera - genetics
Spodoptera exigua
Structural analysis
Welsh onion
China
Liaoning China
Beijing China
United States > US
Shanghai China
Microsatellites
Genetic structure
Seasonal variation
Migration
Welsh onion
Spodoptera exigua
ISSN:2167-8359, 2167-8359, 2376-5992
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Shrnutí:The beet armyworm (BAW), , is a destructive migratory pest worldwide that has caused severe economic losses in China's major crop-producing regions. To control this pest effectively, it is crucial to investigate its seasonal genetic variation and population genetic structure in northern China. In this study, we used eight nuclear microsatellite loci to investigate the seasonal genetic variation and genetic structure of BAW in Shenyang, Liaoning Province, Northeast China, from 2012-2022, collected from a single location on Welsh onion. Microsatellite data revealed moderate levels of genetic variation among 50 seasonal populations of BAW sampled from 2012-2022, along with significant genetic differentiation among these populations. Neighbor-joining dendrograms, STRUCTURE analysis, and principal coordinate analysis (PCoA) revealed two genetically distinct groups: the SY2012-2018 group and the SY2019-2022 group. Our results revealed seasonal variation in the genetic subconstruction at this location, which may be related to the presence of different migratory individuals throughout the year. Accordingly, our unique insights into the population genetics of BAW will contribute to the development of effective management strategies for this migratory pest.
Bibliografia:ObjectType-Article-1
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ISSN:2167-8359
2167-8359
2376-5992
DOI:10.7717/peerj.19243