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Metabarcoding validation framework 2026/2027

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Value

41,666 GBP

Close date

2026-08-17

Description

DNA-based methods have the potential to significantly change how we monitor and assess ecosystems. Natural England has been exploring the use of these methods for environmental monitoring for several years, delivering a series of reports which focus on the development of DNA-based methods with potential in a particular area. These methods are now being used more widely within Natural England, particularly the detection of ecological communities using environmental DNA (eDNA). This is often conducted by employing metabarcoding assays which target specific species assemblages (e.g. fish, mammals) or broader taxonomic groups (e.g. vertebrates, invertebrates, bacteria). The DNA Team aims to operationalise DNA-based methods and produces guidance for using them in monitoring projects. In order to provide sound recommendations, it is important that we understand the limitations of, and uncertainties with, DNA-based methods. Natural England staff need to be able to understand how DNA-derived data can be used, and the confidence they can have in data derived using different DNA-based methods which have been validated to different stages. Natural England previously commissioned the development of a framework to enable end users to assess confidence in metabarcoding assays and results (Pagaling and others, under review; a copy of the framework can be provided by Natural England upon request by emailing monitoring.innovation@naturalengland.org.uk). By using the checklist and levelled scale, end users can appropriately interpret results. It also provides validation and reporting standards for the development of new metabarcoding assays. The framework will enable end-users to determine the recommended scenarios for application of a given assay and improve assay performance with further validation. This project will advance the metabarcoding assay validation framework by expanding upon previous work to conduct a further literature review and meta-analysis, covering more assays being used for different purposes and in different contexts. In addition beta testing of the framework and user guide will be required, as well as the creation and delivery of training materials and course .

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