Linkage disequilibrium and past effective population size in native Tunisian cattle.


Journal

Genetics and molecular biology
ISSN: 1415-4757
Titre abrégé: Genet Mol Biol
Pays: Brazil
ID NLM: 100883590

Informations de publication

Date de publication:
Historique:
received: 02 11 2017
accepted: 14 05 2018
pubmed: 19 2 2019
medline: 19 2 2019
entrez: 19 2 2019
Statut: ppublish

Résumé

To carry out effective genome-wide association studies, information about linkage disequilibrium (LD) is essential. Here, we used medium-density SNP chips to provide estimates of LD in native Tunisian cattle. The two measures of LD that were used, mean r2 and D', decreased from 0.26 to 0.05 and from 0.73 to 0.40, respectively, when the distance between markers increased from less than 20 Kb to 200 Kb. The decay in LD over physical distance occurred at a faster rate than that reported for European and other indigenous breeds, and reached background levels at less than 500 Kb distance. This is consistent with the absence of strong selective pressure within the Tunisian population and suggests that, in order to be effective, any potential genome-wide association mapping studies will need to use chips with higher marker density. An analysis of effective population size (Ne) based on LD data showed a decline in past Ne, with a sudden drop starting about eight generations ago. This finding, combined with the high levels of recent inbreeding revealed by runs of homozygosity (ROH) analysis, indicate that this population is endangered and may be in urgent need of a conservation plan that includes a well-designed genetic management program.

Identifiants

pubmed: 30776288
pii: S1415-47572019005005102
doi: 10.1590/1678-4685-GMB-2017-0342
pmc: PMC6428135
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

52-61

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Auteurs

Slim Ben Jemaa (SB)

National Institute of Agronomic Research of Tunisia, Laboratoire des Productions Animales et Fourragères, Ariana, Tunisia.

Nejia Thamri (N)

Livestock and Pasture Office, Tunis Belvedere, Tunisia.

Sofiane Mnara (S)

National Bank of Genes of Tunisia, Tunis, Tunisia.

Emmanuelle Rebours (E)

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

Dominique Rocha (D)

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

Mekki Boussaha (M)

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

Classifications MeSH