Evidence map›Paper›PMID 34809572›Full record

ArticleBMC ecology and evolution2021

Split it up and see: using proxies to highlight divergent inter-populational performances in aquaculture standardised conditions.

Lola Toomey, Simon Dellicour, Andrzej Kapusta, Daniel Żarski, Frederik Buhrke, Sylvain Milla, Pascal Fontaine, Thomas Lecocq

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Article
  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

8 authors.

Lola ToomeyUniversity of Lorraine, INRAE, URAFPA, 54000, Nancy, France. lolatoomey@gmail.com.ORCID 0000-0001-7060-6698
Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, 50 av. FD Roosevelt, CP160/12, 1050, Brussels, Belgium.
Andrzej KapustaDepartment of Ichthyology, Hydrobiology and Aquatic Ecology, Inland Fisheries Institute, ul. Oczapowskiego 10, 10-719, Olsztyn, Poland.
Daniel ŻarskiDepartment of Gamete and Embryo Biology, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, ul. Tuwima 10, 10-748, Olsztyn, Poland.
Frederik BuhrkeMecklenburg-Vorpommern Research Centre for Agriculture and Fisheries, Institute of Fisheries, Research Station Aquaculture, 18375, Born, Germany.
Sylvain MillaUniversity of Lorraine, INRAE, URAFPA, 54000, Nancy, France.
Pascal FontaineUniversity of Lorraine, INRAE, URAFPA, 54000, Nancy, France.
Thomas LecocqUniversity of Lorraine, INRAE, URAFPA, 54000, Nancy, France. thomas.lecocq@univ-lorraine.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering wild inter-populational phenotypic differentiation can facilitate domestication and subsequent production of new species. However, comparing all populations across a species range to identify those exhibiting suitable key traits for aquaculture (KTA; i.e. important for domestication and subsequent production) expressions is not feasible. Therefore, proxies highlighting inter-populational divergences in KTA are needed. The use of such proxies would allow to identify, prior to bioassays, the wild population pairs which are likely to present differentiations in KTA expressions in aquaculture conditions. Here, we assessed the relevance of three alternative proxies: (i) genetic distance, (ii) habitat divergence, and (iii) geographic/hydrologic distances. We performed this evaluation on seven allopatric populations of Perca fluviatilis for which divergences in KTA had already been shown.

resultsWe showed differences in the correlation degree between the alternative proxy-based and KTA-based distance matrices, with the genetic proxy being correlated to the highest number of KTA. However, no proxy was correlated to all inter-populational divergences in KTA.

conclusionFor future domestication trials, we suggest using a multi-proxy assessment along with a prioritisation strategy to identify population pairs which are of interest for further evaluation in bioassays.

Indexed as

AquaculturePerchesAnimalsDomesticationPhenotypeAquacultureDistanceDomesticationPerca fluviatilisProxy

Identifiers

PMID34809572
PMCPMC8607704

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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.