Charting the insect biodiversity of Crete: insights from a pilot metabarcoding survey
Georgios KoutsovoulosiD, Martin SorgiD, Thomas HörreniD, Dominik BuchneriD, Sarah J. BourlatiD, Kathrin LangeniD, Αpostolos TrichasiD, Florian LeeseiD, Alexandros StamatakisiD
Abstract
Among eukaryotes, insects are by far the most diverse organisms on Earth, yet their global decline threatens ecosystem stability. Understanding local and regional biodiversity patterns is critical for conservation planning, ecosystem management, and predicting responses to environmental change, but traditional surveys for assessing insect diversity (e.g., manual collection, morphological identification, and counting) are highly labor-intensive, time-consuming, and often require rare or simply unavailable dedicated taxonomic expertise. DNA metabarcoding offers an efficient, high-resolution alternative to assess insect communities. Here, we report on the first insect metabarcoding survey on Crete that spans two years of sample collection between 2021 and 2023 from a small area in Southern Central Crete in the context of a citizen science project. A total of 29 samples yielded 10,865 Exact Sequence Variants (ESVs), 10,516 of which were assigned to insects, covering 988 species, 900 genera, and 227 families across 14 orders. A comparison with the existing observation records reveals 406 potential newly-observed species and an estimated 690 unclassified species, indicating substantial cryptic diversity. Our results demonstrate that even small-scale sampling can unravel substantial insect diversity and highlight critical gaps in barcode reference databases. Our study demonstrates how DNA metabarcoding can accelerate biodiversity discovery and monitoring in understudied regions.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Detecting flying insects using mega-nets and meta-barcoding
C. S. Svenningsen, T. G. Froslev, … A. P. Tottrup·bioRxiv·Nov 19, 2020
- Upscaling biodiversity monitoring: Metabarcoding estimates 31,846 insect species from Malaise traps across Germany
D. Buchner, J. Sinclair, … F. Leese·bioRxiv·May 4, 2023
- High-throughput biodiversity surveying sheds new light on the brightest of insect taxa
Ela Iwaszkiewicz-Eggebrecht, Robert M. Goodsell, … Fredrik Ronquist·Proceedings of the Royal Society B Biological SciencesPeer-reviewed·May 1, 2025
- Airborne environmental DNA metabarcoding for the monitoring of terrestrial insects - a proof of concept
F. Roger, H. Ghanavi, … Y. Clough·bioRxiv·Jul 26, 2021
- Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
Vanessa A. Mata, Sónia Ferreira, … Pedro Rui Beja·Environmental DNAPeer-reviewed·Aug 30, 2020
- Accuracy of occurrence and abundance estimates from insect metabarcoding
Ela Iwaszkiewicz-Eggebrecht, Emma Granqvist, … Fredrik Ronquist·Methods in Ecology and EvolutionPeer-reviewed·Jun 26, 2026