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Population genetic structure and migration patterns of Liriomyza sativae in China: moderate subdivision and no Bridgehead effect revealed by microsatellites

Published online by Cambridge University Press:  30 November 2015

X.-T. Tang
Affiliation:
School of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou 225009, China
Y. Ji
Affiliation:
School of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou 225009, China Agricultural Technology Extension Service Center of Dantu District, Zhenjiang 212000, China
Y.-W. Chang
Affiliation:
School of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou 225009, China
Y. Shen
Affiliation:
Agriculture and Forestry Bureau of Binhu District, Wuxi 214071, China
Z.-H. Tian
Affiliation:
Plant Protection Station of Jiangsu Province, Nanjing 21003, China
W.-R. Gong
Affiliation:
Plant Protection Station of Jiangsu Province, Nanjing 21003, China
Y.-Z. Du*
Affiliation:
School of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou 225009, China
*
*Author for correspondence Phone: 0086-514-87971854 Fax: 0086-514-87347537 E-mail: yzdu@yzu.edu.cn

Abstract

While Liriomyza sativae (Diptera: Agromyzidae), an important invasive pest of ornamentals and vegetables has been found in China for the past two decades, few studies have focused on its genetics or route of invasive. In this study, we collected 288 L. sativae individuals across 12 provinces to explore its population genetic structure and migration patterns in China using seven microsatellites. We found relatively low levels of genetic diversity but moderate population genetic structure (0.05 < FST < 0.15) in L. sativae from China. All populations deviated significantly from the Hardy–Weinberg equilibrium due to heterozygote deficiency. Molecular variance analysis revealed that more than 89% of variation was among samples within populations. A UPGMA dendrogram revealed that SH and GXNN populations formed one cluster separate from the other populations, which is in accordance with STRUCTURE and GENELAND analyses. A Mantel test indicated that genetic distance was not correlated to geographic distance (r = −0.0814, P = 0.7610), coupled with high levels of gene flow (M = 40.1–817.7), suggesting a possible anthropogenic influence on the spread of L. sativae in China and on the effect of hosts. The trend of asymmetrical gene flow was from southern to northern populations in general and did not exhibit a Bridgehead effect during the course of invasion, as can be seen by the low genetic diversity of southern populations.

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2015 

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