{"title":"微卫星和线粒体COI为研究中国白圆蚧种群遗传结构提供了新的视角。","authors":"Minmin Niu, Dengen Fu, Haoyang Wang, Yun Liu, Xuanxing Du, Qing Zhao, Jiufeng Wei","doi":"10.1002/ece3.70865","DOIUrl":null,"url":null,"abstract":"<p>The white prunicola scale <i>Pseudaulacaspis prunicola</i> (Maskell) is an important pest of fruit and ornamental plants, characterised by its wide distribution, broad host range and distinct biological traits. In this study, a comprehensive population genetic analysis of <i>P. prunicola</i> in China was conducted, focusing on genetic diversity, genetic structure, relationships among geographical populations, and population dynamics. Microsatellite molecular and mitochondrial COI markers were used to examine the genetic diversity and structure of 19 <i>P. prunicola</i> populations across 10 provinces in China. The results revealed low genetic diversity and limited gene flow among populations. A clear geographic genetic structure was identified, with the 19 populations being, divided into four distinct groups, showing a pronounced north–south distribution pattern. Significant genetic differentiation was observed between these groups, with minimal gene exchange. COI-based diversity analyses produced results similar to those obtained from the microsatellite markers. These findings provide valuable insights into the distribution and spread of <i>P. prunicola</i> in China and may help inform the development of effective and targeted pest control strategies.</p>","PeriodicalId":11467,"journal":{"name":"Ecology and Evolution","volume":"15 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745613/pdf/","citationCount":"0","resultStr":"{\"title\":\"Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China\",\"authors\":\"Minmin Niu, Dengen Fu, Haoyang Wang, Yun Liu, Xuanxing Du, Qing Zhao, Jiufeng Wei\",\"doi\":\"10.1002/ece3.70865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The white prunicola scale <i>Pseudaulacaspis prunicola</i> (Maskell) is an important pest of fruit and ornamental plants, characterised by its wide distribution, broad host range and distinct biological traits. In this study, a comprehensive population genetic analysis of <i>P. prunicola</i> in China was conducted, focusing on genetic diversity, genetic structure, relationships among geographical populations, and population dynamics. Microsatellite molecular and mitochondrial COI markers were used to examine the genetic diversity and structure of 19 <i>P. prunicola</i> populations across 10 provinces in China. The results revealed low genetic diversity and limited gene flow among populations. A clear geographic genetic structure was identified, with the 19 populations being, divided into four distinct groups, showing a pronounced north–south distribution pattern. Significant genetic differentiation was observed between these groups, with minimal gene exchange. COI-based diversity analyses produced results similar to those obtained from the microsatellite markers. These findings provide valuable insights into the distribution and spread of <i>P. prunicola</i> in China and may help inform the development of effective and targeted pest control strategies.</p>\",\"PeriodicalId\":11467,\"journal\":{\"name\":\"Ecology and Evolution\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745613/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecology and Evolution\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ece3.70865\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology and Evolution","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ece3.70865","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China
The white prunicola scale Pseudaulacaspis prunicola (Maskell) is an important pest of fruit and ornamental plants, characterised by its wide distribution, broad host range and distinct biological traits. In this study, a comprehensive population genetic analysis of P. prunicola in China was conducted, focusing on genetic diversity, genetic structure, relationships among geographical populations, and population dynamics. Microsatellite molecular and mitochondrial COI markers were used to examine the genetic diversity and structure of 19 P. prunicola populations across 10 provinces in China. The results revealed low genetic diversity and limited gene flow among populations. A clear geographic genetic structure was identified, with the 19 populations being, divided into four distinct groups, showing a pronounced north–south distribution pattern. Significant genetic differentiation was observed between these groups, with minimal gene exchange. COI-based diversity analyses produced results similar to those obtained from the microsatellite markers. These findings provide valuable insights into the distribution and spread of P. prunicola in China and may help inform the development of effective and targeted pest control strategies.
期刊介绍:
Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment.
Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.