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Genome variation in tick infestation and cryptic divergence in Tunisian indigenous sheep.

Authors :
Ahbara, Abulgasim M.
Khbou, Médiha Khamassi
Rhomdhane, Rihab
Sassi, Limam
Gharbi, Mohamed
Haile, Aynalem
Rekik, Mourad
Rischkowsky, Barbara
Mwacharo, Joram M.
Source :
BMC Genomics; 2/28/2022, Vol. 23 Issue 1, p1-15, 15p
Publication Year :
2022

Abstract

Background: Ticks are obligate haematophagous ectoparasites considered second to mosquitos as vectors and reservoirs of multiple pathogens of global concern. Individual variation in tick infestation has been reported in indigenous sheep, but its genetic control remains unknown. Results: Here, we report 397 genome-wide signatures of selection overlapping 991 genes from the analysis, using ROH, LR-GWAS, XP-EHH, and F<subscript>ST</subscript>, of 600 K SNP genotype data from 165 Tunisian sheep showing high and low levels of tick infestations and piroplasm infections. We consider 45 signatures that are detected by consensus results of at least two methods as high-confidence selection regions. These spanned 104 genes which included immune system function genes, solute carriers and chemokine receptor. One region spanned STX5, that has been associated with tick resistance in cattle, implicating it as a prime candidate in sheep. We also observed RAB6B and TF in a high confidence candidate region that has been associated with growth traits suggesting natural selection is enhancing growth and developmental stability under tick challenge. The analysis also revealed fine-scale genome structure indicative of cryptic divergence in Tunisian sheep. Conclusions: Our findings provide a genomic reference that can enhance the understanding of the genetic architecture of tick resistance and cryptic divergence in indigenous African sheep. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712164
Volume :
23
Issue :
1
Database :
Complementary Index
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
155499603
Full Text :
https://doi.org/10.1186/s12864-022-08321-1