Advancements in Insect Diversity Research
New methods reveal hidden diversity among Swedish Lepidoptera species.
Ela Iwaszkiewicz-Eggebrecht, R. M. Goodsell, B.-A. Bengsson, M. Mutanen, M. Klinth, L. J. A. van Dijk, P. Łukasik, A. Miraldo, A. F. Andresson, A. J. M. Tack, T. Roslin, F. Ronquist
― 6 min read
Table of Contents
Nature lovers spend countless hours gathering information about different species. This work helps create lists of species found in specific places, track changes over time, and guide efforts to protect endangered species. However, the way data is collected can be biased. For instance, some areas may get more attention than others, or certain types of organisms may be studied more than others. This bias can make it hard to get an accurate picture of all the species present in an area.
Larger, more visible, or more popular animals often get more focus than smaller, less noticeable ones, like many insects. Recently, researchers have started using standardized methods and DNA techniques to uncover these overlooked species. This approach has shown promise in revealing the hidden diversity of smaller and often ignored groups of organisms.
The Need for Better Data
There are various methods to study local wildlife, but all of them have limitations. Expecting one method to capture every type of species equally is unrealistic. When trying to get a complete picture, researchers need to keep in mind two key points about groups with many species. First, because there are so many different species, researchers need to collect a large number of samples to identify them all. Second, many species are rare, so it is important to spend enough time and cover a wide area when collecting data.
To address these challenges, researchers have increasingly turned to Malaise Traps-devices that passively catch insects in a collection jar through which they fly. This approach can provide a comprehensive way to collect insect specimens.
Identifying Insects
Once samples are collected, identifying the species is the next big step. Traditional methods of identifying species rely on experts examining physical traits. However, when there are millions of specimens, this can be impractical. For example, some samples from tropical forests take a long time to identify.
A more efficient alternative is DNA Metabarcoding, which allows scientists to quickly identify species from large insect samples. By analyzing a short piece of DNA from each insect, researchers can compare it to existing databases to identify the species present in a particular area.
Advancements in Techniques
Using modern technology can significantly improve our ability to monitor and protect insect diversity. The combination of mass insect sampling and DNA analysis is becoming popular worldwide for conducting Biodiversity inventories. However, while metabarcoding's strength lies in its ability to assess poorly known communities, it also has limitations. Since these methods often sample areas or species that are not well studied, scientists may not know what to expect in terms of species distribution.
Butterflies and moths, known as Lepidoptera, provide a good opportunity to test the effectiveness of these sampling and analysis methods. This group of insects is well studied, making it a solid benchmark for evaluating how these new methods perform in collecting species data.
The Swedish Context
Sweden is an ideal place for this research due to its rich history of naturalist study, especially with Lepidoptera. Over the years, many species have been recorded, but the inventory is still not complete. New species continue to be discovered, and some known species are split into multiple distinct groups.
In 2019, researchers set out to fill in gaps and refine the understanding of Swedish Lepidoptera by deploying Malaise traps across the country for a year. They used DNA metabarcoding to enhance their findings and aimed to see what this project could reveal about the local butterfly and moth populations.
Study Methods
The researchers first compiled a list of all known Lepidoptera species in Sweden. This list draws on decades of records collected by naturalists. They also collected data from many sources to quantify the knowledge that had been built up until the IBA survey.
To collect new records, they set up Malaise traps at various locations in Sweden. These traps were operated by citizen scientists throughout the year, collecting samples that were later analyzed using DNA techniques.
The analysis involved extracting DNA from the insect samples and comparing it to existing databases to identify species. This process allowed researchers to generate a large dataset for analysis.
Coverage of Known Species
The main goals of the study were to determine what proportion of known Swedish Lepidoptera was recovered through the IBA survey, compare this data to traditional methods used by naturalists, and identify new species or range extensions.
The IBA survey managed to identify 51% of all Lepidoptera species known from Sweden, which is a significant finding, especially considering it was accomplished in just one year with systematic sampling. This includes more than half of the species that are residents in the country.
Comparison with Naturalist Data
Naturalists reported nearly half a million records of insects in Sweden in 2019, with Lepidoptera making up a significant portion. When comparing the data collected via the IBA survey with that from naturalists, the IBA data represented 16% of the total records for Lepidoptera.
Interestingly, naturalists tend to focus on butterflies and larger moths, leaving smaller, less noticeable species underrepresented in their records. The high-throughput survey performed better in collecting data from sparsely populated areas and capturing a wider variety of species.
New Discoveries
During the survey, researchers also discovered new species and extended the known ranges of some Lepidoptera. The analysis included clusters of data that did not match any previously known species.
Through validation, they confirmed several new species for Sweden and also identified records of species that had previously been thought to occur in different ranges. This discovery aspect underlines the potential for high-throughput techniques to reveal important biodiversity that has been overlooked.
Findings and Importance
Overall, the results indicate that using Malaise traps and DNA metabarcoding can effectively sample and identify Lepidoptera. The study demonstrates that within a single year of systematic sampling, a significant portion of the lepidopteran diversity can be captured.
This finding has implications for future biodiversity studies, as it supports the idea that these modern methods should become integral to biodiversity monitoring and conservation efforts. Moreover, it highlights the need for continuous exploration and validation of existing data to fill knowledge gaps in understanding local and regional biodiversity.
Conclusion
The research underscores the importance of combining traditional species observation methods with modern techniques like DNA metabarcoding to gain a more comprehensive understanding of biodiversity. With the findings from the IBA survey, it is clear that significant insights regarding species presence and distribution can be achieved.
This type of systematic approach to biodiversity inventory can provide a reliable foundation for future conservation efforts, ensuring more species are accurately recorded and understood. As researchers continue to improve and refine these methods, they will play a crucial role in protecting the rich and diverse insect populations found across the globe.
Title: High-throughput biodiversity surveying sheds new light on the brightest of insect taxa
Abstract: Sampling of species-rich taxa followed by DNA metabarcoding is quickly becoming a popular high-throughput method for biodiversity inventories. Unfortunately, we know little about its accuracy and efficiency, as the results mostly pertain to poorly-known organism groups in underexplored environments or regions of the world. Here we ask what an extensive sampling effort based on Malaise trapping and metabarcoding can tell us about the lepidopteran fauna of Sweden - one of the best-understood insect taxa in one of the most-surveyed countries of the world. Specifically, we deployed 197 Malaise traps for a single year across Sweden in a systematic sampling design, then metabarcoded the resulting 4,749 bulk samples, and compared the results to existing data sources. We detected more than half (1,535) of the 2,990 lepidopteran species ever recorded as occurring in Sweden, and 323 species not reported during the sampling period by other data providers. Full-length barcoding of individual specimens confirmed three new species for the country and extensive range extensions for two species. It also corroborated eight genetically distinct COI variants that may represent new species to science, one of which has since been described. Most of the new records are for small and inconspicuous species and poorly surveyed regions, suggesting that they represent previously overlooked components of the fauna. Our findings, corroborated by independent metagenomic analyses, show that DNA metabarcoding can be a highly efficient and accurate method of biodiversity sampling, to the extent that it can generate significant new discoveries even for the most well-known of insect faunas.
Authors: Ela Iwaszkiewicz-Eggebrecht, R. M. Goodsell, B.-A. Bengsson, M. Mutanen, M. Klinth, L. J. A. van Dijk, P. Łukasik, A. Miraldo, A. F. Andresson, A. J. M. Tack, T. Roslin, F. Ronquist
Last Update: 2024-10-25 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.10.25.620209
Source PDF: https://www.biorxiv.org/content/10.1101/2024.10.25.620209.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to biorxiv for use of its open access interoperability.
Reference Links
- https://gbif.org
- https://insectbiomeatlas.org
- https://namnochslaktskap.artfakta.se
- https://artdatabanken.se
- https://artportalen.se
- https://doi.org/10.17044/scilifelab.20514192.v4
- https://doi.org/10.17044/scilifelab.27202368.v1
- https://www.suomen-perhoset.fi
- https://britishlepidoptera.weebly.com
- https://www.ukmoths.org.uk