| Autor: |
Pascal Querner, Nikola Szucsich, Bill Landsberger, Peter Brimblecombe |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Diversity, Vol 16, Iss 8, p 476 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1424-2818 |
| DOI: |
10.3390/d16080476 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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