Genetic connectivity constrained by natural barriers in a key agricultural pest: insights from mitochondrial DNA analysis
文献类型： 外文期刊
作者： Li, Jinyu 1 ; Mao, Yi 1 ; Li, Kai 1 ; Chen, Wei 2 ; Sun, Linyang 2 ; Zhang, Bang 2 ;
作者机构： 1.Fujian Acad Agr Sci, Tea Res Inst, Fuzhou, Peoples R China
2.Fujian Agr & Forestry Univ, Inst Appl Ecol, State Key Lab Ecol Pest Control Fujian & Taiwan Cr, Fuzhou, Peoples R China
关键词： landscape genetics; multivariate model; biogeographic barriers; population connectivity; leafhopper
期刊名称：FRONTIERS IN ECOLOGY AND EVOLUTION （ 影响因子：3.0； 五年影响因子：3.8 ）
ISSN： 2296-701X
年卷期： 2023 年 11 卷
页码：
收录情况： SCI
摘要： In the context of anthropogenic global change, the study of landscape effects on species movement has garnered increasing attention. Landscape genetics offer indirect yet attractive means to capture species dispersal events across generations and their interaction with landscapes. However, landscape genetic patterns tend to exhibit significant variations across taxa and rely on the molecular makers adopted. Here, we investigated how landscapes influence population connectivity of an important tea pest, Empoasca onukii, using mitochondrial DNA sequences of 1,518 individuals from 57 locations in mainland China and offshore islands. We analyzed the inter-population genetic divergence and integrated multiple models to explicitly quantify their association with geographic distance, environmental heterogeneity, and landscape barriers. Analyses revealed a reduction in gene flow on islands, along the Yangtze River, and across mountainous regions of Western China. Models explicitly detected the predominant contributions of topographic complexity to population divergence and evidenced that mountains may serve as effective dispersal barriers for E. onukii. These results suggest that the limited gene exchange resulting from low population connectivity among mountains might generate the observed patterns of mitochondrial genetic variations, which contrasts the climate-related pattern previously observed on microsatellites. The findings enhance our comprehension of the evolutionary and epidemic dynamics of E. onukii, and highlight the demand of considering species-specific traits when studying population landscape genetic patterns. Moreover, the study emphasizes the necessity of employing multiple molecular markers to comprehensively elucidate landscape effects on population connectivity across diverse species for valuable insights into biodiversity conservation, pest control, and other management decisions.
- 相关文献
作者其他论文 更多>>
-
Comparative analysis of habitat suitability for a crop and its primary insect herbivore: providing insights for crop planting and pest management strategies
作者：Li, Jinyu;Mao, Yi;Jiang, Jia;Li, Kai;Li, Jinyu;Zhang, Bang;Mao, Yi;Jiang, Jia;Li, Kai;You, Shijun;Li, Jinyu;Zhang, Bang;Mao, Yi;Jiang, Jia;Li, Kai;You, Shijun;Li, Jinyu;Zhang, Bang;Mao, Yi;Jiang, Jia;Li, Kai;You, Shijun
关键词：land resource planning; species distribution model; land suitability assessment; tea cultivation; tea green leafhopper
-
Machine learning provides insights for spatially explicit pest management strategies by integrating information on population connectivity and habitat use in a key agricultural pest
作者：Li, Jinyu;Jiang, Jia;Mao, Yi;Li, Kai;Liu, Fengjing;Li, Jinyu;Zhang, Bang;Jiang, Jia;Mao, Yi;Li, Kai
关键词：pest management; gene flow; habitat use; random forest; spatial modeling
-
Environmental heterogeneity drives population genetic divergence of a key agricultural pest, Empoasca onukii
作者：Li, Jinyu;Shi, Longqing;Chen, Wei;Mao, Yi;Vasseur, Liette;Gurr, Geoff;You, Minsheng;You, Shijun;Li, Jinyu;Mao, Yi;Li, Jinyu;Shi, Longqing;Chen, Wei;Mao, Yi;Vasseur, Liette;Gurr, Geoff;You, Minsheng;You, Shijun;Li, Jinyu;Shi, Longqing;Chen, Wei;Mao, Yi;You, Minsheng;You, Shijun;Shi, Longqing;Vasseur, Liette;Gurr, Geoff
关键词：climate change; adaptation; landscape genetics; evolution; population divergence
-
Genetic analyses reveal regional structure and demographic expansion of the predominant tea pest Empoasca onukii (Hemiptera: Cicadellidae) in China
作者：Li, Jinyu;Shi, Longqing;Vasseur, Liette;Zhao, Qian;Chen, Jie;You, Minsheng;You, Shijun;Li, Jinyu;Shi, Longqing;Vasseur, Liette;Zhao, Qian;Chen, Jie;You, Minsheng;You, Shijun;Zhao, Qian;Chen, Jie;You, Minsheng;You, Shijun;Vasseur, Liette;Zhao, Qian;Chen, Jie;You, Minsheng;You, Shijun;Zhao, Qian;Chen, Jie;You, Minsheng;You, Shijun
关键词：tea green leafhopper; gene flow; demographic expansion; genetic structure; management
-
The reference genome and full-length transcriptome of pakchoi provide insights into cuticle formation and heat adaption
作者：Xu, Huimin;Wang, Chunhua;Wu, Shasha;Liu, Peng;Jiang, Peng;Wang, Shubin;Tauqeer, Arfa;Chang, Jiang;Zhong, Fenglin;Wu, Shuang;Xu, Huimin;Wang, Chunhua;Wu, Shasha;Liu, Peng;Jiang, Peng;Wang, Shubin;Tauqeer, Arfa;Chang, Jiang;Zhong, Fenglin;Wu, Shuang;Shao, Guirong;Cao, Ping;Lin, Xiao;Lin, Yizhang;Zhu, Hong;Chen, Wei;Huang, Weiqun;Wen, Qingfang
关键词：
-
Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution
作者：Zhao, Qian;Shi, Longqing;He, Weiyi;Li, Jinyu;You, Shijun;Zhang, Liwen;Yang, Guang;Vasseur, Liette;You, Minsheng;Shi, Longqing;Li, Jinyu;Chen, Shuai;Lin, Jing;Wang, Yibin;Vasseur, Liette
关键词：Tea green leafhopper; Genomic variation; Population genetics; Local adaptation; Evolutionary history
-
An ensemble learning approach to map the genetic connectivity of the parasitoid Stethynium empoasca (Hymenoptera: Mymaridae) and identify the key influencing environmental and landscape factors
作者：Sun, Linyang;Li, Jinyu;Chen, Jie;Chen, Wei;You, Minsheng;You, Shijun;Sun, Linyang;Chen, Jie;Chen, Wei;You, Minsheng;You, Shijun;Sun, Linyang;Chen, Jie;Chen, Wei;You, Minsheng;You, Shijun;Li, Jinyu;Chen, Jie;Chen, Wei;You, Minsheng;You, Shijun;Yue, Zhen;Shi, Jingya;You, Shijun;Huang, Huoshui
关键词：landscape genetics; machine learning; parasitoid; climate change; biology conservation
