Evidence map›Paper›PMID 41652535›Full record

SynthesisGenetics, selection, evolution : GSE2026

Genetic variation of hypoxia tolerance in farmed fish: a systematic review for selective breeding purposes.

Sergio P Barahona, Nicolás Salinas-Parra, Rodrigo Pulgar, José Gallardo-Matus

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in Genetics, selection, evolution : GSE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Sergio P BarahonaLaboratorio de Genética y Genómica Aplicada, Escuela de Ciencias del Mar, Pontificia Universidad Católica de Valparaíso, Avenida Universidad 330, 2373223, Valparaíso, Chile.
Nicolás Salinas-ParraLaboratorio de Genética y Genómica Aplicada, Escuela de Ciencias del Mar, Pontificia Universidad Católica de Valparaíso, Avenida Universidad 330, 2373223, Valparaíso, Chile.
Rodrigo PulgarLaboratorio de Genética y Genómica e Interacciones Biológicas, Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, El Líbano 5524, 7830490, Santiago, Chile.
José Gallardo-MatusLaboratorio de Genética y Genómica Aplicada, Escuela de Ciencias del Mar, Pontificia Universidad Católica de Valparaíso, Avenida Universidad 330, 2373223, Valparaíso, Chile. jose.gallardo@pucv.cl.ORCID http://orcid.org/0000-0002-7717-8726

Funding

Agencia Nacional de Investigación y Desarrollo 1231206Agencia Nacional de Investigación y Desarrollo 21250925Agencia Nacional de Investigación y Desarrollo 3240697Vicerrectoría de Investigación, Creación e Innovación 39.365/2023
6 · The paper itself

Abstract

backgroundAccelerating climate change has intensified hypoxic events in aquatic ecosystems. In aquaculture, high stocking densities make farmed fish particularly vulnerable to these episodes, leading to negative economic repercussions. This has driven interest in selective breeding for hypoxia tolerant fish as a potential mitigation strategy. In this context, the present systematic review synthesizes and critically evaluates current knowledge on genetic variation associated with hypoxia tolerance in farmed fish species. A literature search was conducted in Scopus and Web of Science following the Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 guidelines.

resultsIn total, 964 articles were identified, of which 41 met the inclusion criteria, encompassing 26 species and three hybrid lines. Among the farmed fish, the blunt snout bream, rainbow trout, common carp, and Nile tilapia were the most extensively studied. The most commonly used metrics to assess hypoxia tolerance included: (1) time or oxygen level at which loss of equilibrium occurs, (2) survival time or status (alive or dead), and (3) critical oxygen partial tension measured via respirometry. Substantial phenotypic variability in hypoxia tolerance across families, strains, gynogenetic lines, growth transgenic lines, hybrid lines, and species was reported in most studies. Although single nucleotide polymorphism associated with hypoxia tolerance were identified in several studies, heritability estimates were reported in only three of these, ranging from 0.28 to 0.65, underscoring the need for further research to strengthen the basis for selective breeding applications. Furthermore, candidate genes identified across studies were involved in a wide range of biological processes underlying hypoxia responses, including hypoxia signaling and its regulation (HIF-related genes and their inhibitors, such as HIF1αn), angiogenesis, energy metabolism, oxidative stress defense, erythropoiesis, ion regulation, DNA repair, and immune and apoptotic processes.

conclusionsAs aquatic environments become more hypoxic, the findings of this review underscore the potential of the inherent genetic diversity for hypoxia tolerance present in farmed fish populations. In this context, genomic selection and gene editing emerge as promising tools for developing hypoxia tolerant fish lines. Further research under production conditions is essential before implementation of these approaches in practical in breeding programs, particularly to evaluate the most appropriate trait(s) for measuring hypoxia tolerance, potential correlated responses with other economically important traits, and the overall feasibility at an industry scale.

Indexed as

FishesGenetic VariationHypoxiaSelective BreedingAnimalsAquaculture

Identifiers

PMID41652535
PMCPMC12903247

What Socratic 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 Socratic graph.