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From feces to data: A metabarcoding method for analyzing consumed and available prey in a bird‐insect food web

机译:从粪便到数据:一种用于分析鸟类昆虫食物网中已消耗和可用猎物的元条形码方法

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摘要

Diets play a key role in understanding trophic interactions. Knowing the actual structure of food webs contributes greatly to our understanding of biodiversity and ecosystem functioning. The research of prey preferences of different predators requires knowledge not only of the prey consumed, but also of what is available. In this study, we applied DNA metabarcoding to analyze the diet of 4 bird species (willow tits Poecile montanus, Siberian tits Poecile cinctus, great tits Parus major and blue tits Cyanistes caeruleus) by using the feces of nestlings. The availability of their assumed prey (Lepidoptera) was determined from feces of larvae (frass) collected from the main foraging habitat, birch (Betula spp.) canopy. We identified 53 prey species from the nestling feces, of which 11 (21%) were also detected from the frass samples (eight lepidopterans). Approximately 80% of identified prey species in the nestling feces represented lepidopterans, which is in line with the earlier studies on the parids' diet. A subsequent laboratory experiment showed a threshold for fecal sample size and the barcoding success, suggesting that the smallest frass samples do not contain enough larval DNA to be detected by high‐throughput sequencing. To summarize, we apply metabarcoding for the first time in a combined approach to identify available prey (through frass) and consumed prey (via nestling feces), expanding the scope and precision for future dietary studies on insectivorous birds.
机译:饮食在理解营养相互作用中起关键作用。了解食物网的实际结构有助于我们对生物多样性和生态系统功能的理解。对不同捕食者的猎物偏好的研究不仅需要了解消耗的猎物,而且还需要了解可用的猎物。在这项研究中,我们应用DNA元条形码分析了4种鸟类(雏鸟的山雀Poecile montanus,西伯利亚山雀Poecile cinctus,大山雀Parus major和蓝山雀Cyanistes caeruleus)的饮食。他们的假定猎物(鳞翅目)的可用性取决于从主要觅食栖息地桦木(Betula spp。)冠层中收集的幼虫(fe)的粪便。我们从雏鸟的粪便中鉴定出53种捕食物种,其中有11种(21%)还从无性系样本(八个鳞翅目)中检出。刚孵出的粪便中大约80%的被捕食物种为鳞翅目,这与早期有关仔鱼饮食的研究一致。随后的实验室实验显示了粪便样本量和条形码成功的阈值,这表明最小的粪便样本没有足够的幼虫DNA来进行高通量测序检测。总而言之,我们首次在组合方法中应用了元条形码,以识别可用的猎物(通过苦味)和消耗的猎物(通过雏鸟的粪便),从而扩大了今后对食虫性鸟类进行饮食研究的范围和精度。

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