Coghlan Megan L, White Nicole E, Murray Dáithí C, Houston Jayne, Rutherford William, Bellgard Matthew I, Haile James, Bunce Michael
Australian Wildlife Forensic Services and Ancient DNA Laboratory, School of Veterinary and Life Sciences, Murdoch University, Murdoch, Western Australia 6150, Australia.
Investig Genet. 2013 Dec 11;4(1):27. doi: 10.1186/2041-2223-4-27.
Wildlife collisions with aircraft cost the airline industry billions of dollars per annum and represent a public safety risk. Clearly, adapting aerodrome habitats to become less attractive to hazardous wildlife will reduce the incidence of collisions. Formulating effective habitat management strategies relies on accurate species identification of high-risk species. This can be successfully achieved for all strikes either through morphology and/or DNA-based identifications. Beyond species identification, dietary analysis of birdstrike gut contents can provide valuable intelligence for airport hazard management practices in regards to what food is attracting which species to aerodromes. Here, we present birdstrike identification and dietary data from Perth Airport, Western Australia, an aerodrome that saw approximately 140,000 aircraft movements in 2012. Next-generation high throughput DNA sequencing was employed to investigate 77 carcasses from 16 bird species collected over a 12-month period. Five DNA markers, which broadly characterize vertebrates, invertebrates and plants, were used to target three animal mitochondrial genes (12S rRNA, 16S rRNA, and COI) and a plastid gene (trnL) from DNA extracted from birdstrike carcass gastrointestinal tracts.
Over 151,000 DNA sequences were generated, filtered and analyzed by a fusion-tag amplicon sequencing approach. Across the 77 carcasses, the most commonly identified vertebrate was Mus musculus (house mouse). Acrididae (grasshoppers) was the most common invertebrate family identified, and Poaceae (grasses) the most commonly identified plant family. The DNA-based dietary data has the potential to provide some key insights into feeding ecologies within and around the aerodrome.
The data generated here, together with the methodological approach, will greatly assist in the development of hazard management plans and, in combination with existing observational studies, provide an improved way to monitor the effectiveness of mitigation strategies (for example, netting of water, grass type, insecticides and so on) at aerodromes. It is hoped that with the insights provided by dietary data, airports will be able to allocate financial resources to the areas that will achieve the best outcomes for birdstrike reduction.
野生动物与飞机相撞每年给航空业造成数十亿美元的损失,并构成公共安全风险。显然,使机场栖息地对危险野生动物的吸引力降低,将减少碰撞事件的发生。制定有效的栖息地管理策略依赖于对高风险物种进行准确的物种识别。通过形态学和/或基于DNA的识别,对于所有碰撞事件都能成功实现这一点。除了物种识别之外,对鸟击肠道内容物的饮食分析可以为机场危险管理实践提供有价值的信息,了解哪些食物吸引了哪些物种来到机场。在此,我们展示了来自澳大利亚西部珀斯机场的鸟击识别和饮食数据,该机场在2012年有大约14万架次飞机起降。采用新一代高通量DNA测序技术,对在12个月期间收集的16种鸟类的77具尸体进行了调查。使用五个广泛表征脊椎动物、无脊椎动物和植物的DNA标记,靶向从鸟击尸体胃肠道提取的DNA中的三个动物线粒体基因(12S rRNA、16S rRNA和COI)和一个质体基因(trnL)。
通过融合标签扩增子测序方法生成、过滤并分析了超过15.1万个DNA序列。在77具尸体中,最常识别出的脊椎动物是小家鼠。蝗科(蝗虫)是最常识别出的无脊椎动物科,禾本科(草)是最常识别出的植物科。基于DNA的饮食数据有可能为机场及其周边的觅食生态提供一些关键见解。
此处生成的数据以及方法将极大地有助于制定危险管理计划,并与现有的观察性研究相结合,提供一种改进的方法来监测机场缓解策略(例如,水域围网、草的类型、杀虫剂等)的有效性。希望通过饮食数据提供的见解,机场能够将财政资源分配到能在减少鸟击方面取得最佳效果的领域。