Metabarcoding under Brine: Microbial Ecology of Five Hypersaline Lakes at Rottnest Island (WA, Australia)

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Dokumenter

  • Mattia Saccò
  • Nicole E. White
  • Matthew Campbell
  • Sebastian Allard
  • William F. Humphreys
  • Paul Pringle
  • Farid Sepanta
  • Alex Laini
  • Allentoft, Morten Erik

Hypersaline ecosystems—aquatic environments where concentration of salt exceeds 35 g L−1—host microbial communities that are highly specialised to cope with these extreme conditions. However, our knowledge on the taxonomic diversity and functional metabolisms characterising microbial communities in the water columns of hypersaline ecosystems is still limited, and this may compromise the future preservation of these unique environments. DNA metabarcoding provides a reliable and affordable tool to investigate environmental dynamics of aquatic ecosystems, and its use in brine can be highly informative. Here, we make use of bacterial 16S metabarcoding techniques combined with hydrochemical analyses to investigate the microbial patterns (diversity and functions) from five hypersaline lakes located at Rottnest Island (WA). Our results indicate lake-driven microbial aquatic assemblages that are characterised by taxonomically and functionally moderately to extremely halophilic groups, with TDS (total dissolved solids) and alkalinity amongst the most influential parameters driving the community patterns. Overall, our findings suggest that DNA metabarcoding allows rapid but reliable ecological assessment of the hypersaline aquatic microbial communities at Rottnest Island. Further studies involving different hypersaline lakes across multiple seasons will help elucidate the full extent of the potential of this tool in brine.

OriginalsprogEngelsk
Artikelnummer1899
TidsskriftWater
Vol/bind13
Udgave nummer14
Antal sider18
ISSN2073-4441
DOI
StatusUdgivet - 2021

Bibliografisk note

Funding Information:
Acknowledgments: We acknowledge the Western Australia Department of Biodiversity, Conservation and Attractions for sampling permits and the Rottnest Island Authority for logistical support. M. Saccò, N. White and M. Allentoft are supported by the BHP Social Investment Fund, eDNA for Global Biodiversity (eDGES) programme. This work was supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. The authors thank Elizabeth Ooi and Rae Young for their marvellous support and crucial assistance with fieldwork logistics.

Publisher Copyright:
© 2021 by the authors.

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