Evidence map›Paper›PMID 33436740›Full record

ArticleScientific reports2021

Modelling seasonal patterns of larval fish parasitism in two northern nearshore areas in the Humboldt Current System.

Lissette D Paredes, Mauricio F Landaeta, Carlos Molinet, M Teresa González

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Lissette D ParedesPrograma de Magíster en Ecología de Sistema Acuáticos, Facultad de Ciencias del Mar y Recursos Biológicos, Universidad de Antofagasta, Avenida Universidad de Antofagasta, 02800, Antofagasta, Chile.
Mauricio F LandaetaFacultad de Ciencias del Mar y de Recursos Naturales, Universidad de Valparaíso, Avenida Borgoño, Reñaca, 16344, Viña del Mar, Chile.ORCID 0000-0002-5199-5103
Carlos MolinetInstituto de Acuicultura, Universidad Austral de Chile, Pelluco s/n, Puerto Montt, Chile.
M Teresa GonzálezFacultad de Ciencias del Mar y Recursos Biológicos, Instituto de Ciencias Naturales Alexander von Humboldt, Universidad de Antofagasta, Avenida Universidad de Antofagasta, 02800, Antofagasta, Chile. teresa.gonzalez@uantof.cl.ORCID 0000-0001-5787-4364
Universidad de Antofagasta · CLAustral University of Chile · CLUniversity of Valparaíso · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macro- and micro-environmental factors modulate parasite loads in fish, determining parasitic abundances, diversity, and interaction dynamics. In this study, seasonal variations in larval ectoparasites on fish larvae in the northern Humboldt Current System (HCS) were evaluated using a delta-gamma generalized linear model to predict their occurrence frequencies. Fish larvae were collected from two nearshore areas during austral spring-summer and autumn-winter. Only five (of 38) larval fish species were parasitized by copepods: Gobiesox marmoratus, Ophiogobius jenynsi, Helcogrammoides cunninghami, Myxodes sp., and Auchenionchus crinitus. A binomial model showed that the presence/absence of parasitized fish larvae varied among the fish species and their larval abundances, while a positive delta-gamma model showed that ectoparasite frequency varied among the seasons and fish species. Seasonal variations in parasitized fish larvae frequency could be associated with host and parasite reproductive processes, which are related to oceanographic features responsible for larval retention and subsequent higher infestation probabilities. Host length was positively correlated with ectoparasite length, suggesting early infection and combined growth until the detachment of the ectoparasite. Our results suggest that infestation patterns in larval fish species can be identified using delta-gamma models and that they respond to local (retention) and high-scale (HCS) processes.

Indexed as

AnimalsEcosystemEctoparasitic InfestationsFish DiseasesFishesHost-Parasite InteractionsLarvaLinear ModelsOceans and SeasSeasons

Identifiers

PMID33436740
PMCPMC7804093
OpenAlexW3119379608

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.