Literature DB >> 17894560

Mapping of quantitative trait loci controlling tick [Riphicephalus (Boophilus) microplus] resistance on bovine chromosomes 5, 7 and 14.

G Gasparin1, M Miyata, L L Coutinho, M L Martinez, R L Teodoro, J Furlong, M A Machado, M V G B Silva, T S Sonstegard, L C A Regitano.   

Abstract

Differences in domestication and selection processes have contributed to considerable phenotypic and genotypic differences between Bos taurus and Bos indicus cattle breeds. Of particular interest in tropical and subtropical production environments are those genetic differences between subspecies that underlie the phenotypic extremes in tolerance and susceptibility to parasite infection. In general, B. taurus cattle are more susceptible to ectoparasites than B. indicus cattle in tropical environments, and much of this difference is under genetic control. To identify genomic regions involved in tick resistance, we developed a B. taurus x B. indicus F(2) experimental population to map quantitative trait loci (QTL) for resistance to the Riphicephalus (Boophilus) microplus tick. About 300 individuals were measured for parasite load in two seasons (rainy and dry) and genotyped for 23 microsatellite markers covering chromosomes 5, 7 and 14. We mapped a suggestive chromosome-wide QTL for tick load in the rainy season (P < 0.05) on chromosome 5. For the dry season, suggestive (P < 0.10) chromosome-wide QTL were mapped on chromosomes 7 and 14. The additive effect of the QTL on chromosome 14 corresponds to 3.18% of the total observed phenotypic variance. Our QTL-mapping study has identified different genomic regions controlling tick resistance; these QTL were dependent upon the season in which the ticks were counted, suggesting that the QTL in question may depend on environmental factors.

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Year:  2007        PMID: 17894560     DOI: 10.1111/j.1365-2052.2007.01634.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  13 in total

1.  The RIPK2 gene: a positional candidate for tick burden supported by genetic associations in cattle and immunological response of knockout mouse.

Authors:  Laercio R Porto Neto; Nicholas N Jonsson; Aaron Ingham; Rowan J Bunch; Blair E Harrison; William Barendse
Journal:  Immunogenetics       Date:  2012-05       Impact factor: 2.846

2.  Genetic diversity of Babesia bovis in beef cattle in a large wetland in Brazil.

Authors:  Natalia Serra Mendes; Inalda Angélica de Souza Ramos; Heitor Miraglia Herrera; João Bosco Vilela Campos; João Victor de Almeida Alves; Gabriel Carvalho de Macedo; Rosangela Zacarias Machado; Marcos Rogério André
Journal:  Parasitol Res       Date:  2019-05-11       Impact factor: 2.289

Review 3.  Breeding strategies for tick resistance in tropical cattle: a sustainable approach for tick control.

Authors:  K P Shyma; Jay Prakash Gupta; Veer Singh
Journal:  J Parasit Dis       Date:  2013-04-13

4.  Genome wide scan for quantitative trait loci affecting tick resistance in cattle (Bos taurus x Bos indicus).

Authors:  Marco Antonio Machado; Ana Luisa S Azevedo; Roberto L Teodoro; Maria A Pires; Maria Gabriela C D Peixoto; Célio de Freitas; Márcia Cristina A Prata; John Furlong; Marcos Vinicius G B da Silva; Simone E F Guimarães; Luciana C A Regitano; Luiz L Coutinho; Gustavo Gasparin; Rui S Verneque
Journal:  BMC Genomics       Date:  2010-04-30       Impact factor: 3.969

5.  Haplotypes that include the integrin alpha 11 gene are associated with tick burden in cattle.

Authors:  Laercio R Porto Neto; Rowan J Bunch; Blair E Harrison; Kishore C Prayaga; William Barendse
Journal:  BMC Genet       Date:  2010-06-21       Impact factor: 2.797

6.  Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle.

Authors:  Hans D Daetwyler; Aurélien Capitan; Hubert Pausch; Paul Stothard; Rianne van Binsbergen; Rasmus F Brøndum; Xiaoping Liao; Anis Djari; Sabrina C Rodriguez; Cécile Grohs; Diane Esquerré; Olivier Bouchez; Marie-Noëlle Rossignol; Christophe Klopp; Dominique Rocha; Sébastien Fritz; André Eggen; Phil J Bowman; David Coote; Amanda J Chamberlain; Charlotte Anderson; Curt P VanTassell; Ina Hulsegge; Mike E Goddard; Bernt Guldbrandtsen; Mogens S Lund; Roel F Veerkamp; Didier A Boichard; Ruedi Fries; Ben J Hayes
Journal:  Nat Genet       Date:  2014-07-13       Impact factor: 38.330

7.  Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr × Holstein F2 population.

Authors:  Fabyano Fonseca Silva; Karen P Tunin; Guilherme J M Rosa; Marcos V B da Silva; Ana Luisa Souza Azevedo; Rui da Silva Verneque; Marco Antonio Machado; Irineu Umberto Packer
Journal:  Genet Mol Biol       Date:  2011-10-01       Impact factor: 1.771

8.  Selection signatures in Canchim beef cattle.

Authors:  Ismael Urbinati; Nedenia Bonvino Stafuzza; Marcos Túlio Oliveira; Tatiane Cristina Seleguim Chud; Roberto Hiroshi Higa; Luciana Correia de Almeida Regitano; Maurício Mello de Alencar; Marcos Eli Buzanskas; Danísio Prado Munari
Journal:  J Anim Sci Biotechnol       Date:  2016-05-05

Review 9.  Cattle Tick Rhipicephalus microplus-Host Interface: A Review of Resistant and Susceptible Host Responses.

Authors:  Ala E Tabor; Abid Ali; Gauhar Rehman; Gustavo Rocha Garcia; Amanda Fonseca Zangirolamo; Thiago Malardo; Nicholas N Jonsson
Journal:  Front Cell Infect Microbiol       Date:  2017-12-11       Impact factor: 5.293

10.  Tag SNP selection for prediction of tick resistance in Brazilian Braford and Hereford cattle breeds using Bayesian methods.

Authors:  Bruna P Sollero; Vinícius S Junqueira; Cláudia C G Gomes; Alexandre R Caetano; Fernando F Cardoso
Journal:  Genet Sel Evol       Date:  2017-06-15       Impact factor: 4.297

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