Evidence map›Paper›PMID 38200416›Full record

ArticleGenetics, selection, evolution : GSE2024

Advances in understanding the genetic architecture of antibody response to paratuberculosis in sheep by heritability estimate and LDLA mapping analyses and investigation of candidate regions using sequence-based data.

Mario Graziano Usai, Sara Casu, Tiziana Sechi, Sotero L Salaris, Sabrina Miari, Giuliana Mulas, Maria Giovanna Cancedda, Ciriaco Ligios, Antonello Carta

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Association ofPathogens (Basel, Switzerland) · 2025
    Article
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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

9 authors at 2 institutions in 1 country.

Mario Graziano UsaiResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy.
Sara CasuResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy. scasu@agrisricerca.it.ORCID http://orcid.org/0000-0003-1095-4433
Tiziana SechiResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy.
Sotero L SalarisResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy.
Sabrina MiariResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy.
Giuliana MulasResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy.
Maria Giovanna CanceddaIstituto Zooprofilattico Sperimentale Della Sardegna G. Pegreffi, 07100, Sassari, Italy.
Ciriaco LigiosIstituto Zooprofilattico Sperimentale Della Sardegna G. Pegreffi, 07100, Sassari, Italy.
Antonello CartaResearch Unit Genetics and Biotechnology - Agris Sardegna, 07100, Sassari, Italy.
Sardegna Agricoltura · ITIstituto Zooprofilattico Sperimentale della Sardegna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParatuberculosis is a contagious and incurable disease that is caused by Mycobacterium avium subsp. paratuberculosis (MAP) with significant negative effects on animal welfare and farm profitability. Based on a large naturally infected flock over 12 years, we analyzed repeated enzyme-linked immunosorbent assay tests (ELISA), OvineSNP50 BeadChip genotypes and whole-genome sequences imputed from 56 influential animals. The main goals were to estimate the genetic parameters of proxy traits for resistance to MAP, identify genomic regions associated with the host's immune response against MAP and search for candidate genes and causative mutations through association and functional annotation analyses of polymorphisms identified by sequencing.

resultsTwo variables were derived from ELISA tests. The first, a binary variable, assessed the infection status of each animal over the entire productive life, while the second considered the level of antibody recorded over time. Very similar results were obtained for both variables. Heritability estimates of about 0.20 were found and a significant region capturing 18% and 13% of the genetic variance was detected on ovine chromosome 20 by linkage disequilibrium and linkage analysis on OvineSNP50 positions. Functional annotation and association analyses on the imputed sequence polymorphisms that were identified in this region were carried out. No significant variants showed a functional effect on the genes that mapped to this region, most of which belong to the major histocompatibility complex class II (MHC II). However, the conditional analysis led to the identification of two significant polymorphisms that can explain the genetic variance associated with the investigated genomic region.

conclusionsOur results confirm the involvement of the host's genetics in susceptibility to MAP in sheep and suggest that selective breeding may be an option to limit the infection. The estimated heritability is moderate with a relevant portion being due to a highly significant region on ovine chromosome 20. The results of the combined use of sequence-based data and functional analyses suggest several genes belonging to the MHC II as the most likely candidates, although no mutations in their coding regions showed a significant association. Nevertheless, information from genotypes of two highly significant polymorphisms in the region can enhance the efficiency of selective breeding programs.

Indexed as

Antibody FormationParatuberculosisAnimalsAntibodiesEnzyme-Linked Immunosorbent AssayGenotypeSheepAntibodies

Identifiers

PMID38200416
PMCPMC10777618
OpenAlexW4390702312

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.