Title |
Revisiting AFLP fingerprinting for an unbiased assessment of genetic structure and differentiation of taurine and zebu cattle
|
---|---|
Published in |
BMC Genomic Data, April 2014
|
DOI | 10.1186/1471-2156-15-47 |
Pubmed ID | |
Authors |
Yuri Tani Utsunomiya, Lorenzo Bomba, Giordana Lucente, Licia Colli, Riccardo Negrini, Johannes Arjen Lenstra, Georg Erhardt, José Fernando Garcia, Paolo Ajmone-Marsan, European Cattle Genetic Diversity Consortium |
Abstract |
Descendants from the extinct aurochs (Bos primigenius), taurine (Bos taurus) and zebu cattle (Bos indicus) were domesticated 10,000 years ago in Southwestern and Southern Asia, respectively, and colonized the world undergoing complex events of admixture and selection. Molecular data, in particular genome-wide single nucleotide polymorphism (SNP) markers, can complement historic and archaeological records to elucidate these past events. However, SNP ascertainment in cattle has been optimized for taurine breeds, imposing limitations to the study of diversity in zebu cattle. As amplified fragment length polymorphism (AFLP) markers are discovered and genotyped as the samples are assayed, this type of marker is free of ascertainment bias. In order to obtain unbiased assessments of genetic differentiation and structure in taurine and zebu cattle, we analyzed a dataset of 135 AFLP markers in 1,593 samples from 13 zebu and 58 taurine breeds, representing nine continental areas. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 45 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Researcher | 8 | 17% |
Student > Master | 6 | 13% |
Student > Bachelor | 3 | 7% |
Student > Doctoral Student | 2 | 4% |
Other | 6 | 13% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 30 | 65% |
Medicine and Dentistry | 2 | 4% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Immunology and Microbiology | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 2 | 4% |
Unknown | 9 | 20% |