Literature DB >> 30852025

Candidate genes associated with the heritable humoral response to Mycobacterium avium ssp. paratuberculosis in dairy cows have factors in common with gastrointestinal diseases in humans.

S P McGovern1, D C Purfield2, S C Ring3, T R Carthy2, D A Graham4, D P Berry5.   

Abstract

Infection of cattle with bovine paratuberculosis (i.e., Johne's disease) is caused by Mycobacterium avium ssp. paratuberculosis (MAP) and results in a chronic incurable gastroenteritis. This disease, which has economic ramifications for the cattle industry, is increasing in detected prevalence globally; subclinically infected animals can silently shed the bacterium into the environment for years, exposing contemporaries and hampering disease-control programs. The objective of the present study was to first quantify the genetic parameters for humoral response to MAP in dairy cattle. This was followed by a genome-based association analysis and subsequent downstream bioinformatic analyses from imputed whole genome sequence SNP data. After edits, ELISA test records were available on 136,767 cows; analyses were also undertaken on a subset of 33,818 of these animals from herds with at least 5 MAP ELISA-positive cows, with at least 1 of those positive cows being homebred. Variance components were estimated using univariate animal and sire linear mixed models. The heritability calculated from the animal model for humoral response to MAP using alternative phenotype definitions varied from 0.02 (standard error = 0.003) to 0.05 (standard error = 0.008). The genome-based associations were undertaken within a mixed model framework using weighted deregressed estimated breeding values as a dependent variable on 1,883 phenotyped animals that were ≥87.5% Holstein-Friesian. Putative susceptibility quantitative trait loci (QTL) were identified on Bos taurus autosome 1, 3, 5, 6, 8, 9, 10, 11, 13, 14, 18, 21, 23, 25, 26, 27, and 29; mapping the most significant SNP to genes within and overlapping these QTL revealed that the most significant associations were with the 10 functional candidate genes KALRN, ZBTB20, LPP, SLA2, FI3A1, LRCH3, DNAJC6, ZDHHC14, SNX1, and HAS2. Pathway analysis failed to reveal significantly enriched biological pathways, when both bovine-specific pathway data and human ortholog data were taken into account. The existence of genetic variation for MAP susceptibility in a large data set of dairy cows signifies the potential of breeding programs for reducing MAP susceptibility. Furthermore, the identification of susceptible QTL facilitates greater biological understanding of bovine paratuberculosis and potential therapeutic targets for future investigation. The novel molecular similarities identified between bovine paratuberculosis and human inflammatory bowel disease suggest potential for human therapeutic interventions to be translated to veterinary medicine and vice versa.
Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Johne's disease; genome-wide association study; quantitative trait loci; resistance; sequence

Mesh:

Year:  2019        PMID: 30852025     DOI: 10.3168/jds.2018-15906

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

1.  LRCH1 deficiency enhances LAT signalosome formation and CD8+ T cell responses against tumors and pathogens.

Authors:  Chang Liu; Xiaoyan Xu; Lei Han; Xiaopeng Wan; Lingming Zheng; Chunyang Li; Zhaohui Liao; Jun Xiao; Ruiyue Zhong; Xin Zheng; Qiong Wang; Zonghai Li; Hualan Chen; Bin Wei; Hongyan Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-29       Impact factor: 11.205

2.  Identification of loci associated with susceptibility to Mycobacterium avium subsp. paratuberculosis infection in Holstein cattle using combinations of diagnostic tests and imputed whole-genome sequence data.

Authors:  Maria Canive; Oscar González-Recio; Almudena Fernández; Patricia Vázquez; Gerard Badia-Bringué; José Luis Lavín; Joseba M Garrido; Ramón A Juste; Marta Alonso-Hearn
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

Review 3.  MAP, Johne's disease and the microbiome; current knowledge and future considerations.

Authors:  Chloe Matthews; Paul D Cotter; Jim O' Mahony
Journal:  Anim Microbiome       Date:  2021-05-07

4.  The distribution of runs of homozygosity in the genome of river and swamp buffaloes reveals a history of adaptation, migration and crossbred events.

Authors:  Nicolo P P Macciotta; Licia Colli; Alberto Cesarani; Paolo Ajmone-Marsan; Wai Y Low; Rick Tearle; John L Williams
Journal:  Genet Sel Evol       Date:  2021-02-27       Impact factor: 4.297

5.  Identification of loci associated with pathological outcomes in Holstein cattle infected with Mycobacterium avium subsp. paratuberculosis using whole-genome sequence data.

Authors:  Maria Canive; Gerard Badia-Bringué; Patricia Vázquez; Oscar González-Recio; Almudena Fernández; Joseba M Garrido; Ramón A Juste; Marta Alonso-Hearn
Journal:  Sci Rep       Date:  2021-10-11       Impact factor: 4.379

6.  A framework for non-preserved consensus gene module detection in Johne's disease.

Authors:  Maryam Heidari; Abbas Pakdel; Mohammad Reza Bakhtiarizadeh; Fariba Dehghanian
Journal:  Front Vet Sci       Date:  2022-07-27

Review 7.  Genome-wide association studies for the identification of cattle susceptible and resilient to paratuberculosis.

Authors:  Marta Alonso-Hearn; Gerard Badia-Bringué; Maria Canive
Journal:  Front Vet Sci       Date:  2022-09-12

8.  New insights into the genetic resistance to paratuberculosis in Holstein cattle via single-step genomic evaluation.

Authors:  Marie-Pierre Sanchez; Thierry Tribout; Sébastien Fritz; Raphaël Guatteo; Christine Fourichon; Laurent Schibler; Arnaud Delafosse; Didier Boichard
Journal:  Genet Sel Evol       Date:  2022-10-15       Impact factor: 5.100

9.  Identification of the ABCC4, IER3, and CBFA2T2 candidate genes for resistance to paratuberculosis from sequence-based GWAS in Holstein and Normande dairy cattle.

Authors:  Marie-Pierre Sanchez; Raphaël Guatteo; Aurore Davergne; Judikael Saout; Cécile Grohs; Marie-Christine Deloche; Sébastien Taussat; Sébastien Fritz; Mekki Boussaha; Philippe Blanquefort; Arnaud Delafosse; Alain Joly; Laurent Schibler; Christine Fourichon; Didier Boichard
Journal:  Genet Sel Evol       Date:  2020-03-17       Impact factor: 4.297

10.  Genomic Prediction for Twin Pregnancies.

Authors:  Shaileen P McGovern; Daniel J Weigel; Brenda C Fessenden; Dianelys Gonzalez-Peña; Natascha Vukasinovic; Anthony K McNeel; Fernando A Di Croce
Journal:  Animals (Basel)       Date:  2021-03-16       Impact factor: 2.752

  10 in total

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