Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

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Record number 541533
Title Genome-wide association studies for tick resistance in Bos taurus × Bos indicus crossbred cattle : A deeper look into this intricate mechanism
Author(s) Otto, Pamela I.; Guimarães, Simone E.F.; Verardo, Lucas L.; Azevedo, Ana Luísa S.; Vandenplas, Jeremie; Soares, Aline C.C.; Sevillano, Claudia A.; Veroneze, Renata; Fatima A. Pires, Maria de; Freitas, Célio de; Prata, Márcia Cristina A.; Furlong, John; Verneque, Rui S.; Martins, Marta Fonseca; Panetto, João Cláudio C.; Carvalho, Wanessa A.; Gobo, Diego O.R.; Silva, Marcos Vinícius G.B. da; Machado, Marco A.
Source Journal of Dairy Science (2018). - ISSN 0022-0302
DOI https://doi.org/10.3168/jds.2017-14223
Department(s) LR - Animal Breeding & Genomics
WIAS
Animal Breeding and Genetics
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) breed of origin - gene network - genetic variance - Gir × Holstein crossbred
Abstract Rhipicephalus (Boophilus) microplus is the main cattle ectoparasite in tropical areas. Gir × Holstein crossbred cows are well adapted to different production systems in Brazil. In this context, we performed genome-wide association study (GWAS) and post-GWAS analyses for R. microplus resistance in an experimental Gir × Holstein F2 population. Single nucleotide polymorphisms (SNP) identified in GWAS were used to build gene networks and to investigate the breed of origin for its alleles. Tick artificial infestations were performed during the dry and rainy seasons. Illumina BovineSNP50 BeadChip (Illumina Inc., San Diego, CA) and single-step BLUP procedure was used for GWAS. Post-GWAS analyses were performed by gene ontology terms enrichment and gene transcription factors networks, generated from enriched transcription factors, identified from the promoter sequences of selected gene sets. The genetic origin of marker alleles in the F2 population was assigned using the breed of origin of alleles approach. Heritability estimates for tick counts were 0.40 ± 0.11 in the rainy season and 0.54 ± 0.11 in dry season. The top ten 0.5-Mbp windows with the highest percentage of genetic variance explained by SNP markers were found in chromosomes 10 and 23 for both the dry and rainy seasons. Gene network analyses allowed the identification of genes involved with biological processes relevant to immune system functions (TREM1, TREM2, and CD83). Gene-transcription factors network allowed the identification of genes involved with immune functions (MYO5A, TREML1, and PRSS16). In resistant animals, the average proportion of animals showing significant SNPs with paternal and maternal alleles originated from Gir breed was 44.8% whereas the proportion of animals with both paternal and maternal alleles originated from Holstein breed was 11.3%. Susceptible animals showing both paternal and maternal alleles originated from Holstein breed represented 44.6% on average, whereas both paternal and maternal alleles originated from Gir breed animals represented 9.3%. This study allowed us to identify candidate genes for tick resistance in Gir × Holstein crossbreds in both rainy and dry seasons. According to the origin of alleles analysis, we found that most animals classified as resistant showed 2 alleles from Gir breed, while the susceptible ones showed alleles from Holstein. Based on these results, the identified genes may be thoroughly investigated in additional experiments aiming to validate their effects on tick resistance phenotype in cattle.
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