

FOLLOWUS
1.Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
2.Department of Life Sciences and Systems Biology, University of Turin, Turin 10124, Italy
3.Subterranean Research and Groundwater Ecology (SuRGE) Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
4.Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen 1353, Denmark
mattia.sacco@curtin.edu.au
Received:30 March 2022,
Accepted:13 August 2022,
Published:01 July 2023
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CAMPBELL Matthew A.,LAINI Alex,WHITE Nicole E.,et al.Short communication When nets meet environmental DNA metabarcoding: integrative approach to unveil invertebrate community patterns of hypersaline lakes[J].Journal of Oceanology and Limnology,2023,41(04):1331-1340.
Saline and hypersaline wetlands account for almost half of the volume of inland water globally. They provide pivotal habitat for a vast range of species
including crucial ecosystem services for humans such as carbon sink storage and extractive resource reservoirs. Despite their importance
effective ecological assessment is in its infancy compared to current conventional surveys carried out in freshwater ecosystems. The integration of environmental DNA (eDNA) analysis and traditional techniques has the potential to transform biomonitoring processes
particularly in remote and understudied saline environments. In this context
this preliminary study aims to explore the potential of eDNA coupled with conventional approaches by targeting five hypersaline lakes at Rottnest Island (Wadjemup) in Western Australia. We focused on the invertebrate community
a widely accepted key ecological indicator to assess the conservational status in rivers and lakes. The combination of metabarcoding with morphology-based taxonomic analysis described 16 taxa belonging to the orders Anostraca
Diptera
Isopoda
and Coleoptera. DNA-based diversity assessment revealed more taxa at higher taxonomic resolution than the morphology-based taxonomic analysis. However
certain taxa (i.e.
Ephydridae
Stratyiomidae
Ceratopogonidae) were only identified via net surveying. Overall
our results indicate that great potential resides in combining conventional net-based surveys with novel eDNA approaches in saline and hypersaline lakes. Indeed
urgent and effective conservational frameworks are required to contrast the enormous pressure that these ecosystems are increasingly facing. Further investigations at larger spatial-temporal scales will allow consolidation of robust
reliable
and affordable biomonitoring frameworks in the underexplored world of saline wetlands.
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