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首页> 外文期刊>Investigative Genetics >Metabarcoding avian diets at airports: implications for birdstrike hazard management planning
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Metabarcoding avian diets at airports: implications for birdstrike hazard management planning

机译：机场的条码化鸟类饮食：对鸟类卒中危害管理规划的影响

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Background 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.
机译：背景技术与飞机的野生生物碰撞每年使航空业损失数十亿美元，并构成了公共安全风险。显然，适应机场的栖息地以减少对危险野生生物的吸引力，将减少碰撞的发生。制定有效的栖息地管理策略依赖于对高危物种的准确物种识别。通过形态和/或基于DNA的识别，可以成功实现所有打击。除了物种识别之外，对鸟中风肠内容物的饮食分析还可以为机场危害管理实践提供有价值的情报，涉及哪些食物正在吸引哪些物种进入机场。在这里，我们提供了来自西澳大利亚州珀斯机场的鸟击识别信息和饮食数据，该机场在2012年飞行了约14万架飞机。采用下一代高通量DNA测序技术，调查了在12个月内收集的16种鸟类的77具尸体期。五个广泛地表征脊椎动物，无脊椎动物和植物特征的DNA标记物被用于靶向三个动物线粒体基因（12S rRNA，16S rRNA和COI）和一个质体基因（trnL），该基因来自于鸟击ke体胃肠道提取的DNA。

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