Temporal sampling and network analysis reveal rapid population turnover and dynamic migration pattern in overwintering regions of a cosmopolitan pest
文献类型： 外文期刊
作者： Ke, Fushi 1 ; Li, Jianyu 1 ; Vasseur, Liette 1 ; You, Minsheng 1 ; You, Shijun 1 ;
作者机构： 1.Fujian Agr & Forestry Univ, Inst Appl Ecol, State Key Lab Ecol Pest Control Fujian Taiwan Crop, Fuzhou, Peoples R China
2.Minist Educ, Joint Int Res Lab Ecol Pest Control, Fuzhou, Peoples R China
3.Fujian Agr & Forestry Univ, Ministerial & Prov Joint Innovat Ctr Safety Prod C, Fuzhou, Peoples R China
4.Univ Hong Kong, Sch Biol Sci, Pok Fu Lam, Hong Kong, Peoples R China
5.Fujian Acad Agr Sci, Inst Plant Protect, Fuzhou, Peoples R China
6.Brock Univ, Dept Biol Sci, St Catharines, ON, Canada
7.BGI Sanya, Sanya, Peoples R China
关键词： temporal sampling; kinship analysis; population network; dynamic metapopulation; insect pest
期刊名称：FRONTIERS IN GENETICS （ 影响因子：4.772； 五年影响因子：4.933 ）
ISSN：
年卷期： 2022 年 13 卷
页码：
收录情况： SCI
摘要： Genetic makeup of insect pest is informative for source-sink dynamics, spreading of insecticide resistant genes, and effective management. However, collecting samples from field populations without considering temporal resolution and calculating parameters related to historical gene flow may not capture contemporary genetic pattern and metapopulation dynamics of highly dispersive pests. Plutella xylostella (L.), the most widely distributed Lepidopteran pest that developed resistance to almost all current insecticides, migrates heterogeneously across space and time. To investigate its real-time genetic pattern and dynamics, we executed four samplings over two consecutive years across Southern China and Southeast Asia, and constructed population network based on contemporary gene flow. Across 48 populations, genetic structure analysis identified two differentiated insect swarms, of which the one with higher genetic variation was replaced by the other over time. We further inferred gene flow by estimation of kinship relationship and constructed migration network in each sampling time. Interestingly, we found mean migration distance at around 1,000 km. Such distance might have contributed to the formation of step-stone migration and migration circuit over large geographical scale. Probing network clustering across sampling times, we found a dynamic P. xylostella metapopulation with more active migration in spring than in winter, and identified a consistent pattern that some regions are sources (e.g., Yunnan in China, Myanmar and Vietnam) while several others are sinks (e.g., Guangdong and Fujian in China) over 2 years. Rapid turnover of insect swarms and highly dynamic metapopulation highlight the importance of temporal sampling and network analysis in investigation of source-sink relationships and thus effective pest management of P. xylostella, and other highly dispersive insect pests.
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