4.6 Article

Facing the infinity: tackling large samples of challenging Chironomidae (Diptera) with an integrative approach

Journal

PEERJ
Volume 11, Issue -, Pages -

Publisher

PEERJ INC
DOI: 10.7717/peerj.15336

Keywords

Integrative taxonomy; Chironomidae; Biodiversity; DNA barcoding; Megadiverse; Bulk sample processing; Non biting midges; Molecular species identification; Morphological species Freshwater

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In this study, integrative taxonomy was applied to the diverse fly taxon Chironomidae (Diptera) using a three-level subsampling method and morphological and molecular identification methods. The results showed that identifying less than 10% of a sample's contents can reliably detect over 90% of its species diversity. However, mistakes were made due to the large amount of material, and molecular methods could not provide species information in some cases. Therefore, an integrative approach is crucial when studying non-biting midges in ecological frameworks.
Background: Integrative taxonomy is becoming ever more significant in biodiversity research as scientists are tackling increasingly taxonomically challenging groups. Implementing a combined approach not only guarantees more accurate species identification, but also helps overcome limitations that each method presents when applied on its own. In this study, we present one application of integrative taxonomy for the highly abundant and particularly diverse fly taxon Chironomidae (Diptera). Although non-biting midges are key organisms in merolimnic systems, they are often cast aside in ecological surveys because they are very challenging to identify and extremely abundant.Methods: Here, we demonstrate one way of applying integrative methods to tackle this highly diverse taxon. We present a three-level subsampling method to drastically reduce the workload of bulk sample processing, then apply morphological and molecular identification methods in parallel to evaluate species diversity and to examine inconsistencies across methods.Results: Our results suggest that using our subsampling approach, identifying less than 10% of a sample's contents can reliably detect >90% of its diversity. However, despite reducing the processing workload drastically, the performance of our taxonomist was affected by mistakes, caused by large amounts of material. We conducted misidentifications for 9% of vouchers, which may not have been recovered had we not applied a second identification method. On the other hand, we were able to provide species information in cases where molecular methods could not, which was the case for 14% of vouchers. Therefore, we conclude that when wanting to implement non-biting midges into ecological frameworks, it is imperative to use an integrative approach.

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