Evidence map›Paper›PMID 34442800›Full record

ArticleMicroorganisms2021

Microbial Diversity Profiling of Gut Microbiota of

Christian O'Dea, Roger Huerlimann, Nicole Masters, Anna Kuballa, Cameron Veal, Paul Fisher, Helen Stratton, Mohammad Katouli

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. 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
0.3field-weighted citation impact, top 44% 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, 6 citations in OpenAlex.

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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 4 institutions in 2 countries.

Christian O'DeaGenecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.
Roger HuerlimannMarine Climate Change Unit, Okinawa Institute of Science and Technology (OIST), 1919-1 Tancha, Onna-son, Okinawa 904-0495, Japan.ORCID 0000-0002-6020-334X
Nicole MastersGenecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.ORCID 0000-0001-8103-1260
Anna KuballaGenecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.
Cameron VealSeqwater, 117 Brisbane Street, Ipswich, QLD 4305, Australia.ORCID 0000-0002-4019-276X
Paul FisherSeqwater, 117 Brisbane Street, Ipswich, QLD 4305, Australia.
Helen StrattonSchool of Environment and Science, Griffith University, Nathan, QLD 4111, Australia.ORCID 0000-0002-5871-292X
Mohammad KatouliGenecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.ORCID 0000-0001-5486-0469
University of the Sunshine Coast · AUSeqwater · AUGriffith University · AUOkinawa Institute of Science and Technology Graduate University · JP

Funding

South East Queensland Water top-up scholarship 4530e17
6 · The paper itself

Abstract

Animal faecal contamination of surface waters poses a human health risk, as they may contain pathogenic bacteria or viruses. Of the numerous animal species residing along surface waterways in Australia, macropod species are a top contributor to wild animals' faecal pollution load. We characterised the gut microbiota of 30 native Australian Eastern Grey Kangaroos from six geographical regions (five kangaroos from each region) within South East Queensland in order to establish their bacterial diversity and identify potential novel species-specific bacteria for the rapid detection of faecal contamination of surface waters by these animals. Using three hypervariable regions (HVRs) of the 16S rRNA gene (i.e., V1-V3, V3-V4, and V5-V6), for their effectiveness in delineating the gut microbial diversity, faecal samples from each region were pooled and microbial genomic DNA was extracted, sequenced, and analysed. Results indicated that V1-V3 yielded a higher taxa richness due to its larger target region (~480 bp); however, higher levels of unassigned taxa were observed using the V1-V3 region. In contrast, the V3-V4 HVR (~569 bp) attained a higher likelihood of a taxonomic hit identity to the bacterial species level, with a 5-fold decrease in unassigned taxa. There were distinct dissimilarities in beta diversity between the regions, with the V1-V3 region displaying the highest number of unique taxa (

Indexed as

16S rRNAdiversity profilinggut microbiotamacropods

Identifiers

PMID34442800
PMCPMC8400485
OpenAlexW3195513589

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.