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Migration trajectories of the diamondback moth Plutella xylostella in China inferred from population genomic variation.
Chen, Ming-Zhu; Cao, Li-Jun; Li, Bing-Yan; Chen, Jin-Cui; Gong, Ya-Jun; Yang, Qiong; Schmidt, Thomas L; Yue, Lei; Zhu, Jia-Ying; Li, Hu; Chen, Xue-Xin; Hoffmann, Ary Anthony; Wei, Shu-Jun.
Afiliação
  • Chen MZ; Institute of Plant and Environmental Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Cao LJ; Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, China.
  • Li BY; Institute of Plant and Environmental Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Chen JC; Institute of Plant and Environmental Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Gong YJ; Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, China.
  • Yang Q; Institute of Plant and Environmental Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Schmidt TL; Institute of Plant and Environmental Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Yue L; School of BioSciences, Bio21 Institute, The University of Melbourne, Parkville, Victoria, Australia.
  • Zhu JY; School of BioSciences, Bio21 Institute, The University of Melbourne, Parkville, Victoria, Australia.
  • Li H; Institute of Plant and Environmental Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Chen XX; Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, College of Forestry, Southwest Forestry University, Kunming, China.
  • Hoffmann AA; Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, China.
  • Wei SJ; State Key Laboratory of Rice Biology and Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Pest Manag Sci ; 77(4): 1683-1693, 2021 Apr.
Article em En | MEDLINE | ID: mdl-33200882
ABSTRACT

BACKGROUND:

The diamondback moth (DBM), Plutella xylostella (Lepidoptera Plutellidae), is a notorious pest of cruciferous plants. In temperate areas, annual populations of DBM originate from adult migrants. However, the source populations and migration trajectories of immigrants remain unclear. Here, we investigated migration trajectories of DBM in China using genome-wide single nucleotide polymorphisms (SNPs) genotyped using double-digest RAD (ddRAD) sequencing. We first analyzed patterns of spatial and temporal genetic structure among southern source and northern recipient populations, then inferred migration trajectories into northern regions using discriminant analysis of principal components (DAPC), assignment tests, and spatial kinship patterns.

RESULTS:

Temporal genetic differentiation among populations was low, indicating that sources of recipient populations and migration trajectories are stable. Spatial genetic structure indicated three genetic clusters in the southern source populations. Assignment tests linked northern populations to the Sichuan cluster, and central-eastern populations to the southern and Yunnan clusters, indicating that Sichuan populations are sources of northern immigrants and southern and Yunnan populations are sources of central-eastern populations. First-order (full-sib) and second-order (half-sib) kin pairs were always found within populations, but ~ 35-40% of third-order (cousin) pairs were found in different populations. Closely related individuals in different populations were found at distances of 900-1500 km in ~ 35-40% of cases, while some were separated by > 2000 km.

CONCLUSION:

This study unravels seasonal migration patterns in the DBM. We demonstrate how careful sampling and population genomic analyses can be combined to help understand cryptic migration patterns in insects. © 2020 Society of Chemical Industry.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mariposas Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Pest Manag Sci Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mariposas Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Pest Manag Sci Ano de publicação: 2021 Tipo de documento: Article