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Data · dataset · 2022

Identification of infectious agents in early marine Chinook and Coho salmon associated with cohort survival

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp3/z6cizg

Description

Abstract

Recent decades have seen an increased appreciation for the role infectious diseases can play in mass mortality events across a diversity of marine taxa. At the same time many Pacific salmon populations have declined in abundance as a result of reduced marine survival. However, few studies have explicitly considered the potential role pathogens could play in these declines.

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Using a multi-year dataset spanning 59 pathogen taxa in Chinook and Coho salmon sampled along the British Columbia coast, we carried out an exploratory analysis to quantify evidence for associations between pathogen prevalence and cohort survival, and between pathogen load and body condition. While a variety of pathogens had moderate to strong negative correlations with body condition or survival for one host species in one season, we found that Tenacibaculum maritimum and Piscine orthoreovirus had consistently negative associations with body condition in both host species and seasons, and were negatively associated with survival for Chinook salmon collected in the fall and winter.

Our analyses, which offer the most comprehensive examination of associations between pathogen prevalence and Pacific salmon survival to date, suggest that pathogens in Pacific salmon warrant further attention, especially those whose distribution and abundance may be influenced by anthropogenic stressors.

Methods

The collection and creation of these data will be described in a forthcoming manuscript.

Usage notes

See attached read me file.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Other · Other
Inferred from text
Fisheries sciences 73%
Provenance · 2 source records, 20 field assertions
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Borealisdoi:10.5683/SP3/Z6CIZG13 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP3/Z6CIZG11 d agoJSON v1
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