Schmidt Thomas L, Endersby-Harshman Nancy, Mills Toby, Rane Rahul, Pandey Gunjan, Hardy Chris, Court Leon, Webb Cameron, Trewin Brendan, Neilan Brett, Hoffmann Ary A
Bio21 Institute, School of BioSciences University of Melbourne Parkville Victoria Australia.
School of Environmental and Life Sciences University of Newcastle Newcastle New South Wales Australia.
Evol Appl. 2025 Jun 23;18(6):e70119. doi: 10.1111/eva.70119. eCollection 2025 Jun.
Pest management programmes can operate more effectively when movement patterns of target species are known. As individual insects are difficult to track, genomic data can instead be used to infer movement patterns based on pest population structure and connectivity. These data can also provide critical information about cryptic taxa relevant to management. Here we present the first genomic investigation of , the Australian saltmarsh mosquito, a major arbovirus vector across Australasia. We used a ddRAD pool-seq approach and a draft genome assembly to investigate genetic variation in 60 pools from across Australia but with a focus on urban Newcastle and Sydney, NSW. There was strong genetic structure between samples from the west and east coasts of Australia, and additional structure that differentiated east coast populations. Within Newcastle and Sydney, contrasting patterns of genetic structure were evident. In Newcastle, there was no differentiation among subregions up to 60 km apart. In Sydney, samples from one urban subregion were differentiated from others < 3 km apart, and this structure was stable across sampling years. Heterozygosity and Tajima's D indicated no bottlenecks in Newcastle or Sydney populations, suggesting this structure represents a gene flow barrier. Nuclear differentiation patterns contrast with previous mtDNA data indicating two COI clades in the east coast, one of which was also present in Western Australia. The panmixia over 60 km across the Newcastle region corroborates previous field observations of high dispersal capacity in this mosquito. These findings indicate specific challenges that may hinder local suppression strategies for this species.
当了解目标物种的移动模式时,害虫管理计划可以更有效地运作。由于单个昆虫难以追踪,基因组数据可用于根据害虫种群结构和连通性推断移动模式。这些数据还可以提供有关与管理相关的隐秘分类群的关键信息。在这里,我们展示了对澳大利亚盐沼蚊(一种在澳大拉西亚地区主要的虫媒病毒载体)的首次基因组研究。我们使用了简化基因组池测序方法和基因组草图组装来研究来自澳大利亚各地的6个池中60个样本的遗传变异,但重点关注新南威尔士州的城市纽卡斯尔和悉尼。澳大利亚东西海岸的样本之间存在强烈的遗传结构,以及区分东海岸种群的额外结构。在纽卡斯尔和悉尼内部,遗传结构的对比模式很明显。在纽卡斯尔,相距60公里的次区域之间没有分化。在悉尼,来自一个城市次区域的样本与相距不到3公里的其他样本有所不同,并且这种结构在不同采样年份中是稳定的。杂合度和 Tajima's D 表明纽卡斯尔或悉尼种群没有瓶颈,这表明这种结构代表了基因流动障碍。核分化模式与之前的线粒体DNA数据形成对比,之前的数据表明东海岸有两个COI分支,其中一个在西澳大利亚也存在。纽卡斯尔地区60公里范围内随机交配的情况证实了之前对这种蚊子高扩散能力的实地观察。这些发现表明了可能阻碍该物种局部抑制策略的具体挑战。