DNA Metabarcoding Analysis of Arthropod Diversity in Dust from the Natural History Museum, Vienna

Author:

Querner Pascal12ORCID,Szucsich Nikola3ORCID,Landsberger Bill4,Brimblecombe Peter56ORCID

Affiliation:

1. Natural History Museum Vienna, 1. Zoology, Burgring 7, 1010 Vienna, Austria

2. Institute of Zoology, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria

3. Natural History Museum Vienna, Central Research Laboratories, Burgring 7, 1010 Vienna, Austria

4. Rathgen Research Laboratory, Staatliche Museen zu Berlin, Stiftung Preußischer Kulturbesitz, Schloßstraße 1A, 14059 Berlin, Germany

5. Department of Marine Environment and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan

6. School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK

Abstract

This paper introduces a new method for identifying museum pests through the analysis of DNA present in settled dust. Traditionally, the identification of pests in cultural institutions such as museums and depositories has relied on insect trapping (monitoring). They give good results but need time (minimum spring until summer of one year for a complete survey) and face challenges related to the identification of small, rare, or damaged species. Our study presents a non-invasive approach that utilizes metabarcoding analysis of dust samples to identify pests and other arthropods at the species level. We collected dust samples with a handheld vacuum cleaner in summer 2023 from the six different floors of the Natural History Museum in Vienna and compared the results with the insect monitoring. We found over 359 different species of arthropods in the museum and could show how the diversity increases with the elevation of the building floor. This method could be used for rapid and cost-effective screening of pests before monitoring. But the interpretation of results is sometimes difficult (for Lepismatidae, for example), and it cannot replace a continuous monitoring of pests with traps. This investigation might present the highest indoor animal biodiversity ever found in a single building.

Funder

Austrian Academy of Science

“Friends of the Natural History Museum”, Vienna

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3