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Network and machine learning analyses of estuarine microbial communities along a freshwater-marine mixed gradient

Citation

Rocha Pavan Da Silva, R and White, CA and Bowman, JP and Bodrossy, L and Bissett, A and Eriksen, R and Ross, DJ, Network and machine learning analyses of estuarine microbial communities along a freshwater-marine mixed gradient, Estuarine, Coastal and Shelf Science, (277) Article 108026. ISSN 0272-7714 (2022) [Refereed Article]


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DOI: doi:10.1016/j.ecss.2022.108026

Abstract

Microbial communities are important elements in the marine environment, contributing to nutrient cycling and biogeochemical processes. Estuaries comprise environments exhibiting characteristics from freshwater to marine, leading to distinct microbial communities across this environmental gradient. Here, we examine the spatial dynamics of microbial communities in Macquarie Harbour, an estuarine system on the West coast of Tasmania, Australia. Water was sampled along the estuary to explore the structure and composition of the microbial communities using 16S/18S rRNA gene amplicon sequencing. Multivariate analyses showed environmental variables and community compositions varying along a longitudinal (river to adjacent ocean) gradient at the surface. In the Harbour, differences in the microbial community were observed between surface (01 m) and intermediate depths (4.511 m depth). The results of differential abundance, network and Partial Least Square analyses suggest that Macquarie Harbour is a mixing zone, where the distributions of archaeal, bacterial and eukaryotic communities are influenced by oceanic and riverine inputs. These results provide critical insights into the Macquarie Harbour environment and the importance of understanding the role of microbial communities for similar systems elsewhere.

Item Details

Item Type:Refereed Article
Keywords:Atlantic salmon, Macquarie Harbour, nutrient cycling, estuarine,
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Microbial ecology
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - aquaculture
Objective Field:Aquaculture fin fish (excl. tuna)
UTAS Author:Rocha Pavan Da Silva, R (Mr Ricardo Rocha Pavan Da Silva)
UTAS Author:White, CA (Dr Camille White)
UTAS Author:Bowman, JP (Associate Professor John Bowman)
UTAS Author:Bodrossy, L (Dr Levente Bodrossy)
UTAS Author:Bissett, A (Mr Andrew Bissett)
UTAS Author:Eriksen, R (Dr Ruth Eriksen)
UTAS Author:Ross, DJ (Associate Professor Jeff Ross)
ID Code:155477
Year Published:2022
Deposited By:TIA - Research Institute
Deposited On:2023-02-21
Last Modified:2023-02-21
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