Evidence map›Paper›PMID 35208793›Full record

ArticleMicroorganisms2022

Diatom Biogeography, Temporal Dynamics, and Links to Bacterioplankton across Seven Oceanographic Time-Series Sites Spanning the Australian Continent.

Nine Le Reun, Anna Bramucci, James O'Brien, Martin Ostrowski, Mark V Brown, Jodie Van de Kamp, Levente Bodrossy, Jean-Baptiste Raina, Penelope Ajani, Justin Seymour

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Nine Le ReunClimate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia.ORCID 0000-0002-8883-8240
Anna BramucciClimate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia.
James O'BrienClimate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Martin OstrowskiClimate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia.ORCID 0000-0002-4357-3023
Mark V BrownSchool of Environmental and Life Sciences, The University of Newcastle, Callaghan, NSW 2308, Australia.
Jodie Van de KampOceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Battery Point, TAS 7004, Australia.ORCID 0000-0003-2167-0938
Levente BodrossyOceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Battery Point, TAS 7004, Australia.
Jean-Baptiste RainaClimate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia.ORCID 0000-0002-7508-0004
Penelope AjaniSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia.ORCID 0000-0001-5364-9936
Justin SeymourClimate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia.
University of Technology Sydney · AUCSIRO Oceans and Atmosphere · AUUniversity of Newcastle Australia · AU

Funding

Australian Research Council DP180100838
6 · The paper itself

Abstract

Diatom communities significantly influence ocean primary productivity and carbon cycling, but their spatial and temporal dynamics are highly heterogeneous and are governed by a complex diverse suite of abiotic and biotic factors. We examined the seasonal and biogeographical dynamics of diatom communities in Australian coastal waters using amplicon sequencing data (18S-16S rRNA gene) derived from a network of oceanographic time-series spanning the Australian continent. We demonstrate that diatom community composition in this region displays significant biogeography, with each site harbouring distinct community structures. Temperature and nutrients were identified as the key environmental contributors to differences in diatom communities at all sites, collectively explaining 21% of the variability observed in diatoms assemblages. However, specific groups of bacteria previously implicated in mutualistic ecological interactions with diatoms (Rhodobacteraceae, Flavobacteriaceae and Alteromonadaceae) also explained a further 4% of the spatial dynamics observed in diatom community structure. We also demonstrate that the two most temperate sites (Port Hacking and Maria Island) exhibited strong seasonality in diatom community and that at these sites, winter diatom communities co-occurred with higher proportion of Alteromonadaceae. In addition, we identified significant co-occurrence between specific diatom and bacterial amplicon sequence variants (ASVs), with members of the

Indexed as

Australiaco-occurrencediatoms biogeographymarine bacteriaseasonalitytime-series

Identifiers

PMID35208793
PMCPMC8880096
OpenAlexW4210408654

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.