Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections
Individual sorting and identification of thousands of insects collected in mass trapping biosurveillance programmes is a labour-intensive and time-consuming process. Metabarcoding allows the simultaneous identification of multiple individuals in a single mixed sample and has the potential to expedit...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Pensoft Publishers
2024-11-01
|
| Series: | NeoBiota |
| Online Access: | https://neobiota.pensoft.net/article/130195/download/pdf/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850144259532914688 |
|---|---|
| author | Loïs Veillat Stéphane Boyer Marina Querejeta Emmanuelle Magnoux Alain Roques Carlos Lopez-Vaamonde Geraldine Roux |
| author_facet | Loïs Veillat Stéphane Boyer Marina Querejeta Emmanuelle Magnoux Alain Roques Carlos Lopez-Vaamonde Geraldine Roux |
| author_sort | Loïs Veillat |
| collection | DOAJ |
| description | Individual sorting and identification of thousands of insects collected in mass trapping biosurveillance programmes is a labour-intensive and time-consuming process. Metabarcoding allows the simultaneous identification of multiple individuals in a single mixed sample and has the potential to expedite this process. However, detecting all the species present in a bulk sample can be challenging, especially when under-represented non-native specimens are intercepted. In this study, we quantified the effectiveness of DNA metabarcoding at detecting exotic species within six different mock communities of native and non-native species of European xylophagous cerambycid beetles. The main objective is to compare three different sequencing technologies (MinION, Illumina and IonTorrent) to evaluate which one is the most suitable in this context. Additionally, dry and wet (monopropylene glycol and water) collection methods were compared. Although not observing significant differences in the total number of species detected amongst the three sequencing technologies, the MinION detected a greater number of species in field-like samples. All three sequencing technologies achieved success in detecting and identifying closely-related species and species in low abundance. The capture method of insects in the field greatly influenced sample preservation and detection. Individuals captured in traps containing monopropylene and water had lower DNA concentration, leading to lower species detection rates compared to individuals killed using just an insecticide without any collection medium. |
| format | Article |
| id | doaj-art-c6ca1ec2386f49ce890080d79db1d7da |
| institution | OA Journals |
| issn | 1314-2488 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Pensoft Publishers |
| record_format | Article |
| series | NeoBiota |
| spelling | doaj-art-c6ca1ec2386f49ce890080d79db1d7da2025-08-20T02:28:25ZengPensoft PublishersNeoBiota1314-24882024-11-019623725910.3897/neobiota.96.130195130195Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collectionsLoïs Veillat0Stéphane Boyer1Marina Querejeta2Emmanuelle Magnoux3Alain Roques4Carlos Lopez-Vaamonde5Geraldine Roux6INRAEUniversité de ToursUniversité de ToursINRAEINRAEUniversité de ToursINRAEIndividual sorting and identification of thousands of insects collected in mass trapping biosurveillance programmes is a labour-intensive and time-consuming process. Metabarcoding allows the simultaneous identification of multiple individuals in a single mixed sample and has the potential to expedite this process. However, detecting all the species present in a bulk sample can be challenging, especially when under-represented non-native specimens are intercepted. In this study, we quantified the effectiveness of DNA metabarcoding at detecting exotic species within six different mock communities of native and non-native species of European xylophagous cerambycid beetles. The main objective is to compare three different sequencing technologies (MinION, Illumina and IonTorrent) to evaluate which one is the most suitable in this context. Additionally, dry and wet (monopropylene glycol and water) collection methods were compared. Although not observing significant differences in the total number of species detected amongst the three sequencing technologies, the MinION detected a greater number of species in field-like samples. All three sequencing technologies achieved success in detecting and identifying closely-related species and species in low abundance. The capture method of insects in the field greatly influenced sample preservation and detection. Individuals captured in traps containing monopropylene and water had lower DNA concentration, leading to lower species detection rates compared to individuals killed using just an insecticide without any collection medium.https://neobiota.pensoft.net/article/130195/download/pdf/ |
| spellingShingle | Loïs Veillat Stéphane Boyer Marina Querejeta Emmanuelle Magnoux Alain Roques Carlos Lopez-Vaamonde Geraldine Roux Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections NeoBiota |
| title | Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections |
| title_full | Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections |
| title_fullStr | Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections |
| title_full_unstemmed | Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections |
| title_short | Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections |
| title_sort | benchmarking three dna metabarcoding technologies for efficient detection of non native cerambycid beetles in trapping collections |
| url | https://neobiota.pensoft.net/article/130195/download/pdf/ |
| work_keys_str_mv | AT loisveillat benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections AT stephaneboyer benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections AT marinaquerejeta benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections AT emmanuellemagnoux benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections AT alainroques benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections AT carloslopezvaamonde benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections AT geraldineroux benchmarkingthreednametabarcodingtechnologiesforefficientdetectionofnonnativecerambycidbeetlesintrappingcollections |