Literature DB >> 33547057

Evolutionary genomic and bacteria GWAS analysis of Mycobacterium avium subsp. paratuberculosis and dairy cattle Johne's disease phenotypes.

Vincent P Richards1, Annette Nigsch2, Paulina Pavinski Bitar3, Qi Sun4, Tod Stuber5, Kristina Ceres3, Rebecca L Smith6, Suelee Robbe Austerman5, Ynte Schukken2,7, Yrjo T Grohn3, Michael J Stanhope8.   

Abstract

Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of Johne's disease in ruminants, which has important health consequences for dairy cattle. The Regional Dairy Quality Management Alliance (RDQMA) project is a multistate research program involving MAP isolates taken from three intensively studied commercial dairy farms in the northeastern United States, which emphasized longitudinal data collection of both MAP isolates and animal health in three regional dairy herds for a period of about 7 years. This paper reports the results of a pan-GWAS analysis involving 318 MAP isolates and dairy cow Johne's disease phenotypes, taken from these three farms. Based on our highly curated accessory gene count the pan-GWAS analysis identified several MAP genes associated with bovine Johne's disease phenotypes scored from these three farms, with some of the genes having functions suggestive of possible cause/effect relationships to these phenotypes. This paper reports a pan-genomic comparative analysis between MAP and Mycobacterium tuberculosis, assessing functional Gene Ontology category enrichments between these taxa. Finally, we also provide a population genomic perspective on the effectiveness of herd isolation, involving closed dairy farms, in preventing MAP inter-farm cross infection on a micro-geographic scale.IMPORTANCE Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of Johne's disease in ruminants, which has important health consequences for dairy cattle, and enormous economic consequences for the dairy industry. Understanding which genes in this bacterium are correlated with key disease phenotypes can lead to functional experiments targeting these genes and ultimately lead to improved control strategies. This study represents a rare example of a prolonged longitudinal study of dairy cattle where the disease was measured and the bacteria were isolated from the same cows. The genome sequences of over 300 MAP isolates were analyzed for genes that were correlated with a wide range of Johne's disease phenotypes. A number of genes were identified that were significantly associated with several aspects of the disease and suggestive of further experimental follow-up.
Copyright © 2021 American Society for Microbiology.

Entities:  

Year:  2021        PMID: 33547057      PMCID: PMC8091108          DOI: 10.1128/AEM.02570-20

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  90 in total

1.  Testing character correlation using pairwise comparisons on a phylogeny.

Authors:  W P Maddison
Journal:  J Theor Biol       Date:  2000-02-07       Impact factor: 2.691

2.  An efficient algorithm for large-scale detection of protein families.

Authors:  A J Enright; S Van Dongen; C A Ouzounis
Journal:  Nucleic Acids Res       Date:  2002-04-01       Impact factor: 16.971

3.  Resequencing the Mycobacterium avium subsp. paratuberculosis K10 genome: improved annotation and revised genome sequence.

Authors:  James W Wynne; Torsten Seemann; Dieter M Bulach; Scott A Coutts; Adel M Talaat; Wojtek P Michalski
Journal:  J Bacteriol       Date:  2010-09-24       Impact factor: 3.490

4.  Mycobacterium avium subsp. paratuberculosis in lake catchments, in river water abstracted for domestic use, and in effluent from domestic sewage treatment works: diverse opportunities for environmental cycling and human exposure.

Authors:  R W Pickup; G Rhodes; T J Bull; S Arnott; K Sidi-Boumedine; M Hurley; J Hermon-Taylor
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

5.  Disease management at the wildlife-livestock interface: Using whole-genome sequencing to study the role of elk in Mycobacterium bovis transmission in Michigan, USA.

Authors:  Liliana C M Salvador; Daniel J O'Brien; Melinda K Cosgrove; Tod P Stuber; Angie M Schooley; Joseph Crispell; Steven V Church; Yrjö T Gröhn; Suelee Robbe-Austerman; Rowland R Kao
Journal:  Mol Ecol       Date:  2019-05-10       Impact factor: 6.185

6.  Herd-level risk factors for infection with Mycobacterium paratuberculosis in US dairies and association between familiarity of the herd manager with the disease or prior diagnosis of the disease in that herd and use of preventive measures.

Authors:  S J Wells; B A Wagner
Journal:  J Am Vet Med Assoc       Date:  2000-05-01       Impact factor: 1.936

7.  Environmental survival of Mycobacterium avium subsp. paratuberculosis in different climatic zones of eastern Australia.

Authors:  Jeffrey Eppleston; Douglas J Begg; Navneet K Dhand; Bruce Watt; Richard J Whittington
Journal:  Appl Environ Microbiol       Date:  2014-01-24       Impact factor: 4.792

8.  Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary.

Authors:  Ola Brynildsrud; Jon Bohlin; Lonneke Scheffer; Vegard Eldholm
Journal:  Genome Biol       Date:  2016-11-25       Impact factor: 13.583

9.  A phylogenetic method to perform genome-wide association studies in microbes that accounts for population structure and recombination.

Authors:  Caitlin Collins; Xavier Didelot
Journal:  PLoS Comput Biol       Date:  2018-02-05       Impact factor: 4.475

10.  Environmental Mycobacterium avium subsp. paratuberculosis Hosted by Free-Living Amoebae.

Authors:  Ascel Samba-Louaka; Etienne Robino; Thierry Cochard; Maxime Branger; Vincent Delafont; Willy Aucher; Wilfrid Wambeke; John P Bannantine; Franck Biet; Yann Héchard
Journal:  Front Cell Infect Microbiol       Date:  2018-02-09       Impact factor: 5.293

View more
  1 in total

1.  Who infects whom?-Reconstructing infection chains of Mycobacterium avium ssp. paratuberculosis in an endemically infected dairy herd by use of genomic data.

Authors:  Annette Nigsch; Suelee Robbe-Austerman; Tod P Stuber; Paulina D Pavinski Bitar; Yrjö T Gröhn; Ynte H Schukken
Journal:  PLoS One       Date:  2021-05-13       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.