Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China
ABSTRACT 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...
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.70865 |
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| author | Minmin Niu Dengen Fu Haoyang Wang Yun Liu Xuanxing Du Qing Zhao Jiufeng Wei |
| author_facet | Minmin Niu Dengen Fu Haoyang Wang Yun Liu Xuanxing Du Qing Zhao Jiufeng Wei |
| author_sort | Minmin Niu |
| collection | DOAJ |
| description | ABSTRACT 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. |
| format | Article |
| id | doaj-art-5789fc024d88403883d5a3bc46835e88 |
| institution | Kabale University |
| issn | 2045-7758 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
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| series | Ecology and Evolution |
| spelling | doaj-art-5789fc024d88403883d5a3bc46835e882025-01-29T05:08:42ZengWileyEcology and Evolution2045-77582025-01-01151n/an/a10.1002/ece3.70865Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in ChinaMinmin Niu0Dengen Fu1Haoyang Wang2Yun Liu3Xuanxing Du4Qing Zhao5Jiufeng Wei6College of Plant Protection Shanxi Agricultural University Jinzhong ChinaCollege of Plant Protection Shanxi Agricultural University Jinzhong ChinaCollege of Plant Protection Shanxi Agricultural University Jinzhong ChinaCollege of Plant Protection Shanxi Agricultural University Jinzhong ChinaPotato Industry Development Center Yulin Shaanxi Province ChinaCollege of Plant Protection Shanxi Agricultural University Jinzhong ChinaCollege of Plant Protection Shanxi Agricultural University Jinzhong ChinaABSTRACT 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.https://doi.org/10.1002/ece3.70865genetic structuremicrosatellitemitochondrial COIpopulationwhite prunicola scale |
| spellingShingle | Minmin Niu Dengen Fu Haoyang Wang Yun Liu Xuanxing Du Qing Zhao Jiufeng Wei Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China Ecology and Evolution genetic structure microsatellite mitochondrial COI population white prunicola scale |
| title | Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China |
| title_full | Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China |
| title_fullStr | Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China |
| title_full_unstemmed | Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China |
| title_short | Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China |
| title_sort | microsatellite and mitochondrial coi provide novel insights into the population genetic structure of white prunicola scale pseudaulacaspis prunicola in china |
| topic | genetic structure microsatellite mitochondrial COI population white prunicola scale |
| url | https://doi.org/10.1002/ece3.70865 |
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