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种群遗传学揭示了(鳞翅目:夜蛾科)在中国的多次独立入侵。

Population genetics reveal multiple independent invasions of (Lepidoptera: Noctuidae) in China.

机构信息

Department of Entomology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.

出版信息

Bull Entomol Res. 2022 Dec;112(6):796-806. doi: 10.1017/S0007485322000190. Epub 2022 Apr 28.

DOI:10.1017/S0007485322000190
PMID:35477502
Abstract

The fall armyworm (), a destructive pest that originated in South and North America, spread to China in early 2019. Controlling this invasive pest requires an understanding of its population structure and migration patterns, yet the invasion genetics of Chinese is not clear. Here, using the mitochondrial cytochrome oxidase subunit I () gene, triose phosphate isomerase () gene and eight microsatellite loci, we investigated genetic structure and genetic diversity of 16 populations in China. The locus identified most populations as the corn-strains, and a few were heterozygous strains. The microsatellite loci revealed that the genetic diversity of this pest in China was lower than that in South America. Furthermore, we found moderate differentiation among the populations, distinct genetic structures between adjacent populations and abundant genetic resources in the populations from China sampled across 2 years. The survival rate of was significantly higher when it was fed on corn leaves than on rice leaves, and the larval stage mortality rate was the highest under both treatments. Our results showed that probably invaded China via multiple independent introductions and careful pesticide control, continuous monitoring and further studies will be needed to minimize its potential future outbreak.

摘要

草地贪夜蛾(),一种起源于南北美洲的破坏性害虫,于 2019 年初传播到中国。控制这种入侵害虫需要了解其种群结构和迁移模式,但中国草地贪夜蛾的入侵遗传学尚不清楚。在这里,我们使用线粒体细胞色素氧化酶亚基 I()基因、磷酸丙糖异构酶()基因和 8 个微卫星位点,研究了中国 16 个种群的遗传结构和遗传多样性。 位点将大多数 种群鉴定为玉米品系,少数为杂合品系。微卫星位点显示,中国草地贪夜蛾的遗传多样性低于南美洲。此外,我们发现种群之间存在中度分化,相邻种群之间存在明显的遗传结构,并且在中国两年间采样的种群中存在丰富的遗传资源。与在水稻叶片上相比, 取食玉米叶片时的存活率显著更高,两种处理下幼虫死亡率均最高。我们的研究结果表明, 可能是通过多次独立的传入而入侵中国的,需要仔细的农药控制、持续监测和进一步的研究,以最小化其未来潜在的爆发风险。

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