five

Data from: Phormia regina allele report

收藏
DataCite Commons2026-05-07 更新2026-05-10 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.d51c5b05b
下载链接
链接失效反馈
官方服务:
资源简介:
Genetic structure of blow fly (Diptera: Calliphoridae) populations has remained elusive regardless of high relatedness within wild-caught samples. The aims of this research were to determine if the implementation of a high-resolution spatiotemporal sampling design would reveal latent genetic structure among blow fly populations and to elucidate environmental impacts on structure. Adult female black blow flies, Phormia regina (Meigen), were collected from nine urban parks in Indiana, USA over three years. Fly gut DNA was genotyped at six microsatellite loci, with subsequent amplification and sequencing of vertebrate mitochondrial DNA from the same source. Flies were also screened for vertebrate fecal metabolites. Latent clustering revealed four genetic groups which were interpreted as 11 distinct temporal populations. An analysis of molecular variance of temporal populations revealed stronger genetic differentiation (FST = 0.048, F’ST = 0.664) relative to geographic populations (FST = 0.009, F’ST = 0.241). Mean kinship within temporal populations was higher than expected in a panmictic population (R = 0.032 ± 0.088). Weather conditions (i.e., wind speed, precipitation, humidity, temperature) and vertebrate resource availability in the local environment significantly impacted the observed genetics of P. regina. Twenty-five vertebrate species were detected from flies, and 16% of flies collected in 2016 – 2017 tested positive for vertebrate feces, suggesting many varied resources are important for maintaining high gene flow among geographic populations. A complex interplay between biotic and abiotic factors, as well as the flies’ own extensive dispersal abilities, seems to drive the strong temporal structure of this species in the Midwestern US.
提供机构:
Dryad
创建时间:
2023-09-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作