Genetic parameters of resistance to pasteurellosis using novel response traits in rabbits.


Journal

Genetics, selection, evolution : GSE
ISSN: 1297-9686
Titre abrégé: Genet Sel Evol
Pays: France
ID NLM: 9114088

Informations de publication

Date de publication:
26 Jun 2020
Historique:
received: 09 10 2019
accepted: 17 06 2020
entrez: 28 6 2020
pubmed: 28 6 2020
medline: 7 10 2020
Statut: epublish

Résumé

Pasteurellosis (Pasteurella infection) is one of the most common bacterial infections in rabbits on commercial farms and in laboratory facilities. Curative treatments using antibiotics are only partly efficient, with frequent relapses. Breeding rabbits for improved genetic resistance to pasteurellosis is a sustainable alternative approach. In this study, we infected 964 crossbred rabbits from six sire lines experimentally with Pasteurella multocida. After post-mortem examination and bacteriological analyses, abscess, bacteria, and resistance scores were derived for each rabbit based on the extent of lesions and bacterial dissemination in the body. This is the first study to use such an experimental design and response traits to measure resistance to pasteurellosis in a rabbit population. We investigated the genetic variation of these traits in order to identify potential selection criteria. We also estimated genetic correlations of resistance to pasteurellosis in the experimental population with traits that are under selection in the breeding populations (number of kits born alive and weaning weight). Heritability estimates for the novel response traits, abscess, bacteria, and resistance scores, ranged from 0.08 (± 0.05) to 0.16 (± 0.06). The resistance score showed very strong negative genetic correlation estimates with abscess (- 0.99 ± 0.05) and bacteria scores (- 0.98 ± 0.07). A very high positive genetic correlation of 0.99 ± 0.16 was estimated between abscess and bacteria scores. Estimates of genetic correlations of the resistance score with average daily gain traits for the first and second week after inoculation were 0.98 (± 0.06) and 0.70 (± 0.14), respectively. Estimates of genetic correlations of the disease-related traits with average daily gain pre-inoculation were favorable but with high standard errors. Estimates of genetic and phenotypic correlations of the disease-related traits with commercial selection traits were not significantly different from zero. Disease response traits are heritable and are highly correlated with each other, but do not show any significant genetic correlations with commercial selection traits. Thus, the prevalence of pasteurellosis could be decreased by selecting more resistant rabbits on any one of the disease response traits with a limited impact on the selection traits, which would allow implementation of a breeding program to improve resistance to pasteurellosis in rabbits.

Sections du résumé

BACKGROUND BACKGROUND
Pasteurellosis (Pasteurella infection) is one of the most common bacterial infections in rabbits on commercial farms and in laboratory facilities. Curative treatments using antibiotics are only partly efficient, with frequent relapses. Breeding rabbits for improved genetic resistance to pasteurellosis is a sustainable alternative approach. In this study, we infected 964 crossbred rabbits from six sire lines experimentally with Pasteurella multocida. After post-mortem examination and bacteriological analyses, abscess, bacteria, and resistance scores were derived for each rabbit based on the extent of lesions and bacterial dissemination in the body. This is the first study to use such an experimental design and response traits to measure resistance to pasteurellosis in a rabbit population. We investigated the genetic variation of these traits in order to identify potential selection criteria. We also estimated genetic correlations of resistance to pasteurellosis in the experimental population with traits that are under selection in the breeding populations (number of kits born alive and weaning weight).
RESULTS RESULTS
Heritability estimates for the novel response traits, abscess, bacteria, and resistance scores, ranged from 0.08 (± 0.05) to 0.16 (± 0.06). The resistance score showed very strong negative genetic correlation estimates with abscess (- 0.99 ± 0.05) and bacteria scores (- 0.98 ± 0.07). A very high positive genetic correlation of 0.99 ± 0.16 was estimated between abscess and bacteria scores. Estimates of genetic correlations of the resistance score with average daily gain traits for the first and second week after inoculation were 0.98 (± 0.06) and 0.70 (± 0.14), respectively. Estimates of genetic correlations of the disease-related traits with average daily gain pre-inoculation were favorable but with high standard errors. Estimates of genetic and phenotypic correlations of the disease-related traits with commercial selection traits were not significantly different from zero.
CONCLUSIONS CONCLUSIONS
Disease response traits are heritable and are highly correlated with each other, but do not show any significant genetic correlations with commercial selection traits. Thus, the prevalence of pasteurellosis could be decreased by selecting more resistant rabbits on any one of the disease response traits with a limited impact on the selection traits, which would allow implementation of a breeding program to improve resistance to pasteurellosis in rabbits.

Identifiants

pubmed: 32590928
doi: 10.1186/s12711-020-00552-8
pii: 10.1186/s12711-020-00552-8
pmc: PMC7320576
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

34

Subventions

Organisme : PRESTIGE program coordinated by Campus France.
ID : PCOFUND-GA-2013-609102

Références

Front Microbiol. 2014 Jul 02;5:334
pubmed: 25071747
Microbiol Resour Announc. 2019 Sep 12;8(37):
pubmed: 31515341
J Anim Sci. 2015 Dec;93(12):5631-8
pubmed: 26641172
J Anim Breed Genet. 2016 Aug;133(4):303-15
pubmed: 26676657
Genome. 2010 Nov;53(11):876-83
pubmed: 21076503
J Anim Sci. 2006 Nov;84(11):2934-41
pubmed: 17032786
PLoS One. 2010 Jan 28;5(1):e8940
pubmed: 20126627
Front Genet. 2018 Oct 16;9:467
pubmed: 30386376
J Anim Sci. 2006 Sep;84(9):2309-15
pubmed: 16908633
FEMS Microbiol Lett. 2006 Dec;265(1):1-10
pubmed: 17107417
Genetics. 2004 Jul;167(3):1407-24
pubmed: 15280252
Vet Res. 2001 May-Aug;32(3-4):323-39
pubmed: 11432423
Genetics. 1950 Mar;35(2):212-36
pubmed: 17247344
ScientificWorldJournal. 2012;2012:685028
pubmed: 22919347
J Anim Sci. 1997 Sep;75(9):2344-9
pubmed: 9303451
J Anim Sci. 1996 Jul;74(7):1481-9
pubmed: 8818792
Genet Sel Evol. 2011 Feb 10;43:6
pubmed: 21310061
Vet Res. 2012 Feb 10;43:12
pubmed: 22325049
Clin Microbiol Rev. 2013 Jul;26(3):631-55
pubmed: 23824375

Auteurs

Merina Shrestha (M)

GenPhySE, INRAE, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France.

Hervé Garreau (H)

GenPhySE, INRAE, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France.

Elodie Balmisse (E)

PECTOUL, INRAE, 31326, Castanet-Tolosan, France.

Bertrand Bed'hom (B)

GABI, INRAE, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.

Ingrid David (I)

GenPhySE, INRAE, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France.

Edouard Guitton (E)

PFIE, INRAE, 37380, Nouzilly, France.

Emmanuelle Helloin (E)

ISP, INRAE, Université François Rabelais de Tours, UMR 1282, 37380, Nouzilly, France.

Guillaume Lenoir (G)

HYCOLE, Route de Villers-Plouich, 59159, Marcoing, France.

Mickaël Maupin (M)

HYPHARM SAS, La Corbière, Roussay, 49450, Sèvremoine, France.

Raphaël Robert (R)

EUROLAP, Le Germillan, B.P. 21, 35140, Gosné, France.

Frédéric Lantier (F)

ISP, INRAE, Université François Rabelais de Tours, UMR 1282, 37380, Nouzilly, France.

Mélanie Gunia (M)

GenPhySE, INRAE, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France. melanie.gunia@inrae.fr.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH