Abstract
DNA-based methodology has proven to be a vital tool for ecosystem assessment and monitoring. Increasingly, high-throughput approaches such as DNA metabarcoding are being used to address more complex questions, including ecological network analyses through machine learning. Despite the technological advances which allow for such questions to be posed, there remains inherent limitations in studies utilizing DNA metabarcoding, referring to environmental sample type targeted, geographical coverage and lack of standardised field and laboratory procedures. Additionally, DNA reference databases are lacking information from taxa, resulting in unidentified sequences and underrepresentation of some taxa. These issues need to be addressed to enable a more representative approach to ecosystem monitoring to allow for detection and monitoring of global ecosystem change.
Highlights
Specialty section: This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Ecology and Evolution
By streamlining and scaling-up biodiversity data generated, DNA metabarcoding provides the ability to increase the amounts of assessment of the status of biodiversity associated with ecosystem change that can occur across a wide range of global ecosystems (Ruppert et al, 2019)
DNA metabarcoding provides an important component to be used with the ecological network analyses and machine learning algorithms that are rapidly advancing to enhance the capacity to detect global ecosystem change through biodiversity assessment (Bohan et al, 2017; Cordier et al, 2019)
Summary
Specialty section: This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Ecology and Evolution. DNA metabarcoding provides an important component to be used with the ecological network analyses and machine learning algorithms that are rapidly advancing to enhance the capacity to detect global ecosystem change through biodiversity assessment (Bohan et al, 2017; Cordier et al, 2019).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
