Evidence map›Paper›PMID 28751882›Full record

ArticleFrontiers in microbiology2017

Spatial and Temporal Microbial Patterns in a Tropical Macrotidal Estuary Subject to Urbanization.

Mirjam Kaestli, Anna Skillington, Karen Kennedy, Matthew Majid, David Williams, Keith McGuinness, Niels Munksgaard, Karen Gibb

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  6. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 3 institutions in 1 country.

Mirjam KaestliResearch Institute for the Environment and Livelihoods, Charles Darwin UniversityDarwin, NT, Australia.
Anna SkillingtonResearch Institute for the Environment and Livelihoods, Charles Darwin UniversityDarwin, NT, Australia.
Karen KennedyPower and Water CorporationDarwin, NT, Australia.
Matthew MajidAquatic Health Unit, Department of Environment and Natural Resources, Northern Territory GovernmentDarwin, NT, Australia.
David WilliamsAustralian Institute of Marine ScienceDarwin, NT, Australia.
Keith McGuinnessResearch Institute for the Environment and Livelihoods, Charles Darwin UniversityDarwin, NT, Australia.
Niels MunksgaardResearch Institute for the Environment and Livelihoods, Charles Darwin UniversityDarwin, NT, Australia.
Karen GibbResearch Institute for the Environment and Livelihoods, Charles Darwin UniversityDarwin, NT, Australia.
Charles Darwin University · AUAustralian Institute of Marine Science · AUGovernment of the Northern Territory · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Darwin Harbour in northern Australia is an estuary in the wet-dry tropics subject to increasing urbanization with localized water quality degradation due to increased nutrient loads from urban runoff and treated sewage effluent. Tropical estuaries are poorly studied compared to temperate systems and little is known about the microbial community-level response to nutrients. We aimed to examine the spatial and temporal patterns of the bacterial community and its association with abiotic factors. Since Darwin Harbour is macrotidal with strong seasonal patterns and mixing, we sought to determine if a human impact signal was discernible in the microbiota despite the strong hydrodynamic forces. Adopting a single impact-double reference design, we investigated the bacterial community using next-generation sequencing of the 16S rRNA gene from water and sediment from reference creeks and creeks affected by effluent and urban runoff. Samples were collected over two years during neap and spring tides, in the dry and wet seasons. Temporal drivers, namely seasons and tides had the strongest relationship to the water microbiota, reflecting the macrotidal nature of the estuary and its location in the wet-dry tropics. The neap-tide water microbiota provided the clearest spatial resolution while the sediment microbiota reflected current and past water conditions. Differences in patterns of the microbiota between different parts of the harbor reflected the harbor's complex hydrodynamics and bathymetry. Despite these variations, a microbial signature was discernible relating to specific effluent sources and urban runoff, and the composite of nutrient levels accounted for the major part of the explained variation in the microbiota followed by salinity. Our results confirm an overall good water quality but they also reflect the extent of some hypereutrophic areas. Our results show that the microbiota is a sensitive indicator to assess ecosystem health even in this dynamic and complex ecosystem.

Indexed as

macrotidal tropical estuarymicrobiotatemporal and spatial patternstreated sewage effluenturban runoff

Identifiers

PMID28751882
PMCPMC5507994
OpenAlexW2734902813

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.