Salem Abeer M, Adham Fatma K, Picard Christine J
Department of Biotechnology, Faculty of Science, Cairo University, P.O. Box 12613, Giza, Egypt.
Department of Entomology, Faculty of Science, Cairo University, P.O. Box 12613, Giza, Egypt.
Sci Rep. 2025 Sep 12;15(1):32491. doi: 10.1038/s41598-025-93428-0.
Population genetic patterns and changes in allele frequency within blow flies can provide valuable insight into population structure, diversification, dispersal, gene flow, and population assignments. The population genetic structure of the oriental latrine blow fly, Chrysomya megacephala (Fabricius), was investigated using amplified fragment length polymorphisms (AFLP). The goal was to validate the use of this technique to create genetic profile data and determine it is feasibility for inferring postmortem relocation of corpses. The AFLP technique generated 590 polymorphic loci for C. megacephala. Analysis of molecular variation (AMOVA) found significantly high genetic variation within individuals of all fly populations, with little variation among populations from different geographic locations. STRUCTURE and principal coordinate analyses (PCoA) revealed no population structure based on geography, with weak correlation between genetic and geographic distances, and moderate temporal differentiation was noted among C. megacephala samples. Across the entire data set, the mean relative relatedness coefficients were positive, suggesting that flies arriving at the same bait (carcass) share nonrandom proportions of alleles and comprise of closely related individuals. Genetic assignment of C. megacephala flies to a putative source population resulted in a 90.81% success rate, indicating the possibility of using these flies to connect sites between which a corpse had been moved even in the absence of overall geographic population structure.
丽蝇种群的遗传模式和等位基因频率变化可为种群结构、多样化、扩散、基因流动和种群归属提供有价值的见解。利用扩增片段长度多态性（AFLP）技术研究了大头金蝇（Chrysomya megacephala，Fabricius）的种群遗传结构。目的是验证该技术用于创建遗传图谱数据的有效性，并确定其推断尸体死后迁移的可行性。AFLP技术为大头金蝇产生了590个多态性位点。分子变异分析（AMOVA）发现，所有蝇类种群个体内的遗传变异显著高，而不同地理位置种群间的变异很小。STRUCTURE分析和主坐标分析（PCoA）表明，基于地理因素不存在种群结构，遗传距离与地理距离之间的相关性较弱，且在大头金蝇样本中观察到适度的时间分化。在整个数据集中，平均相对亲缘系数为正，这表明到达同一诱饵（尸体）的苍蝇共享非随机比例的等位基因，并且由亲缘关系密切的个体组成。将大头金蝇个体遗传归属到假定的源种群的成功率为90.81%，这表明即使在没有整体地理种群结构的情况下，利用这些苍蝇来关联尸体被转移的地点也是有可能的。
