Evidence map›Paper›PMID 34245329›Full record

ArticleMicrobial ecology2022

Monitoring Infection and Antibiotic Treatment in the Skin Microbiota of Farmed European Seabass (Dicentrarchus Labrax) Fingerlings.

Daniela Rosado, Marcos Pérez-Losada, Ricardo Severino, Raquel Xavier

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

4 authors at 2 institutions in 2 countries.

Daniela RosadoCIBIO-InBIO, Investigation Centre for Biodiversity, Genetics and Evolution, Porto University, Campus Agrário de Vairão, Vairão, 4485-661, Porto, Portugal. de.frosado@gmail.com.ORCID http://orcid.org/0000-0001-9312-3648
Marcos Pérez-LosadaCIBIO-InBIO, Investigation Centre for Biodiversity, Genetics and Evolution, Porto University, Campus Agrário de Vairão, Vairão, 4485-661, Porto, Portugal.
Ricardo SeverinoPiscicultura Vale da Lama, Sapal Do Vale da Lama, Odiáxere, 8600-258, Lagos, Portugal.
Raquel XavierCIBIO-InBIO, Investigation Centre for Biodiversity, Genetics and Evolution, Porto University, Campus Agrário de Vairão, Vairão, 4485-661, Porto, Portugal. raq.xavier@cibio.up.pt.
Universidade do Porto · PTMilken Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiota of fish skin, the primary barrier against disease, is highly dynamic and modulated by several factors. In fish aquaculture, disease outbreaks occur mainly during early-life stages, with associated high economic losses. Antibiotic treatments sometimes remain the best option to control bacterial diseases, despite many reported negative impacts of its use on fish and associated microbiota. Notwithstanding, studies monitoring the effects of disease and antibiotic treatment on the microbiota of fingerlings are scarce. We sequenced the bacterial 16S rRNA V4 gene region using a metabarcoding approach to assess the impact of a mixed infection with Photobacterium damselae ssp. piscicida and Vibrio harveyi and subsequent antibiotic treatment with flumequine, on the skin microbiota of farmed seabass (Dicentrarchus labrax) fingerlings. Both infection and antibiotic treatment led to a significant increase in bacterial diversity and core microbial communities and impacted microbiome structure. Dysbiosis was confirmed by changes in the abundance of potential pathogenic and opportunistic bacterial taxa. Skin bacterial metabolic function was also significantly affected by flumequine administration, suggesting a detriment to fish skin health. Our results add to an increasing body of literature, showing how fish microbiome response to infection and antibiotics cannot be easily predicted.

Indexed as

BassFish DiseasesMicrobiotaAnimalsAnti-Bacterial AgentsAquaculturePhotobacteriumRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16SDicentrarchus labraxDysbiosisFish microbiotaFlumequinePhotobacterium damselae ssp. piscicidaVibrio harveyi

Identifiers

PMID34245329
OpenAlexW3180042001

What OpenQuestion holds

Textmetadata
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.