Sediment Core DNA-Metabarcoding and Chitinous Remain Identification: Integrating Complementary Methods to Characterise Chironomidae Biodiversity in Lake Sediment Archives.
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| Titel: | Sediment Core DNA-Metabarcoding and Chitinous Remain Identification: Integrating Complementary Methods to Characterise Chironomidae Biodiversity in Lake Sediment Archives. |
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| Autoren: | Blattner LA; Department of Environmental Sciences, Geoecology, University of Basel, Basel, Switzerland.; Natural History Museum Basel, Basel, Switzerland., Lapellegerie P; Department of Environmental Sciences, Geoecology, University of Basel, Basel, Switzerland., Courtney-Mustaphi C; Department of Environmental Sciences, Geoecology, University of Basel, Basel, Switzerland., Heiri O; Department of Environmental Sciences, Geoecology, University of Basel, Basel, Switzerland. |
| Quelle: | Molecular ecology resources [Mol Ecol Resour] 2025 Jan; Vol. 25 (1), pp. e14035. Date of Electronic Publication: 2024 Oct 21. |
| Publikationsart: | Journal Article; Evaluation Study |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Blackwell Country of Publication: England NLM ID: 101465604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1755-0998 (Electronic) Linking ISSN: 1755098X NLM ISO Abbreviation: Mol Ecol Resour Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Oxford, England : Blackwell |
| MeSH-Schlagworte: | Chironomidae*/genetics , Chironomidae*/classification , Lakes* , DNA Barcoding, Taxonomic*/methods , Geologic Sediments*/chemistry , Biodiversity*, Animals ; Switzerland ; Larva/genetics ; Larva/classification ; DNA/genetics ; DNA/chemistry ; Chitin ; Metagenomics/methods |
| Abstract: | Chironomidae, so-called non-biting midges, are considered key bioindicators of aquatic ecosystem variability. Data derived from morphologically identifying their chitinous remains in sediments document chironomid larvae assemblages, which are studied to reconstruct ecosystem changes over time. Recent developments in sedimentary DNA (sedDNA) research have demonstrated that molecular techniques are suitable for determining past and present occurrences of organisms. Nevertheless, sedDNA records documenting alterations in chironomid assemblages remain largely unexplored. To close this gap, we examined the applicability of sedDNA metabarcoding to identify Chironomidae assemblages in lake sediments by sampling and processing three 21-35 cm long sediment cores from Lake Sempach in Switzerland. With a focus on developing analytical approaches, we compared an invertebrate-universal (FWH) and a newly designed Chironomidae-specific metabarcoding primer set (CH) to assess their performance in detecting Chironomidae DNA. We isolated and identified chitinous larval remains and compared the morphotype assemblages with the data derived from sedDNA metabarcoding. Results showed a good overall agreement of the morphotype assemblage-specific clustering among the chitinous remains and the metabarcoding datasets. Both methods indicated higher chironomid assemblage similarity between the two littoral cores in contrast to the deep lake core. Moreover, we observed a pronounced primer bias effect resulting in more Chironomidae detections with the CH primer combination compared to the FWH combination. Overall, we conclude that sedDNA metabarcoding can supplement traditional remain identifications and potentially provide independent reconstructions of past chironomid assemblage changes. Furthermore, it has the potential of more efficient workflows, better sample standardisation and species-level resolution datasets. (© 2024 The Author(s). Molecular Ecology Resources published by John Wiley & Sons Ltd.) |
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| Contributed Indexing: | Keywords: Chironomidae; Paleolimnology; SedDNA; lake sediments; morphogroups |
| Substance Nomenclature: | 9007-49-2 (DNA) 1398-61-4 (Chitin) |
| Entry Date(s): | Date Created: 20241022 Date Completed: 20241215 Latest Revision: 20250104 |
| Update Code: | 20250114 |
| PubMed Central ID: | PMC11646301 |
| DOI: | 10.1111/1755-0998.14035 |
| PMID: | 39434565 |
| Datenbank: | MEDLINE |
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