Evidence map›Paper›PMID 31231428›Full record

ArticleFrontiers in genetics2019

Disentangling Genetic Variation for Resistance and Endurance to Scuticociliatosis in Turbot Using Pedigree and Genomic Information.

María Saura, María J Carabaño, Almudena Fernández, Santiago Cabaleiro, Andrea B Doeschl-Wilson, Osvaldo Anacleto, Francesco Maroso, Adrián Millán, Miguel Hermida, Carlos Fernández and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Unravelling turbot (Frontiers in immunology · 2024
    Article
  8. Review
  9. Article
  10. Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Potential of genomic technologies to improve disease resistance in molluscan aquaculture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  12. Article
  13. Article
  14. Why breed disease-resilient livestock, and how?Genetics, selection, evolution : GSE · 2020
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. 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

12 authors.

María SauraDepartamento de Mejora Genética Animal, INIA, Madrid, Spain.
María J CarabañoDepartamento de Mejora Genética Animal, INIA, Madrid, Spain.
Almudena FernándezDepartamento de Mejora Genética Animal, INIA, Madrid, Spain.
Santiago CabaleiroCETGA, Cluster de la Acuicultura de Galicia, Aguiño-Ribeira, Spain.
Andrea B Doeschl-WilsonGenetics and Genomics, The Roslin Institute and R(D)SVS, The University of Edinburgh, Roslin, United Kingdom.
Osvaldo AnacletoGenetics and Genomics, The Roslin Institute and R(D)SVS, The University of Edinburgh, Roslin, United Kingdom.
Francesco MarosoGeneaqua, Lugo, Spain.
Adrián MillánGeneaqua, Lugo, Spain.
Miguel HermidaDepartamento de Xenética, Universidade de Santiago de Compostela, Lugo, Spain.
Carlos FernándezDepartamento de Xenética, Universidade de Santiago de Compostela, Lugo, Spain.
Paulino MartínezDepartamento de Xenética, Universidade de Santiago de Compostela, Lugo, Spain.
Beatriz VillanuevaDepartamento de Mejora Genética Animal, INIA, Madrid, Spain.

Funding

Biotechnology and Biological Sciences Research Council BB/T004401/1
6 · The paper itself

Abstract

Selective breeding for improving host responses to infectious pathogens is a promising option for disease control. In fact, disease resilience, the ability of a host to survive or cope with infectious challenge, has become a highly desirable breeding goal. However, resilience is a complex trait composed of two different host defence mechanisms, namely resistance (the ability of a host to avoid becoming infected or diseased) and endurance (the ability of an infected host to survive the infection). While both could be targeted for genetic improvement, it is currently unknown how they contribute to survival, as reliable estimates of genetic parameters for both traits obtained simultaneously are scarce. A difficulty lies in obtaining endurance phenotypes for genetic analyses. In this study, we present the results from an innovative challenge test carried out in turbot whose design allowed disentangling the genetic basis of resistance and endurance to

Indexed as

aquaculturediseaseenduranceresilienceresistancescuticociliatosisturbot

Identifiers

PMID31231428
PMCPMC6565924

What OpenQuestion holds

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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.