保加利亚小鼠耳蝙蝠和大鼠耳蝙蝠粪便样本的DNA代谢编码数据

A. Hubancheva, Vedran Bozicevic, J. Morinière, Holger R. Goerlitz
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引用次数: 0

摘要

全面了解陆地生态系统的营养相互作用对生态研究和保护至关重要。环境DNA (eDNA)元条形码等非侵入性方法的最新进展,使研究人员能够收集大量有关野生动物饮食的数据。然而,有效和透明地共享这些数据和元数据提出了新的挑战。为了解决这个问题,出现了一种新型的学术期刊出版物,旨在描述数据集而不是报告研究调查。本文基于113种大鼠耳蝠和小鼠耳蝠(Myotis Myotis和Myotis blythii)粪便样本的元条形码,建立了一个被捕食物种和寄生虫的数据集,并详细描述了数据采样、实验室分析和生物信息学管道。我们的数据集包括来自12个类别和43个订单的1018个唯一条形码索引号(bin)。此外,我们还提供了交互式Krona图表,直观地总结了被捕食物种和寄生虫的分类关系和相对阅读丰度。这些数据可用于元分析,探索新的捕食者-猎物和宿主-寄生虫相互作用,研究种间和种内生态相互作用,并为保护区管理提供信息等应用。通过分享这个数据集,我们希望鼓励其他研究人员使用它来回答更多的生态问题,并推进我们对陆地生态系统营养相互作用的理解。
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DNA metabarcoding data from faecal samples of the lesser (Myotis blythii) and the greater (Myotis myotis) mouse-eared bats from Bulgaria
A comprehensive understanding of trophic interactions in terrestrial ecosystems is crucial for ecological research and conservation. Recent advances in non-invasive methods, such as environmental DNA (eDNA) metabarcoding, have enabled researchers to collect vast amounts of data on wild animal diets. However, sharing this data and metadata effectively and transparently presents new challenges. To address this, a new type of scholarly journal publication has emerged that aims to describe datasets rather than report research investigations. In this paper, we present a dataset of consumed prey species and parasites based on the metabarcoding of 113 faecal samples from the greater and lesser mouse-eared bats (Myotis myotis and Myotis blythii), along with a detailed description of the data sampling, laboratory analysis, and bioinformatics pipeline. Our dataset comprises 1018 unique Barcode Index Numbers (BINs) from 12 Classes and 43 Orders. In addition, we provide interactive Krona charts to visually summarize the taxonomic relationships and relative read abundance of the consumed prey species and parasites. This data can be used for meta-analysis, exploring new predator-prey and host-parasite interactions, studying inter- and intraspecific ecological interactions, and informing protected area management, among other applications. By sharing this dataset, we hope to encourage other researchers to use it to answer additional ecological questions and advance our understanding of trophic interactions in terrestrial ecosystems.
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来源期刊
Metabarcoding and Metagenomics
Metabarcoding and Metagenomics Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
5.40
自引率
0.00%
发文量
25
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