| Full text | |
| Author(s): |
de Camargo, G. M. F.
[1]
;
Aspilcueta-Borquis, R. R.
[1]
;
Fortes, M. R. S.
[2]
;
Porto-Neto, R.
[3]
;
Cardoso, D. F.
[1]
;
Santos, D. J. A.
[1]
;
Lehnert, S. A.
[3]
;
Reverter, A.
[3]
;
Moore, S. S.
[4]
;
Tonhati, H.
[1]
Total Authors: 10
|
| Affiliation: | [1] Univ Estadual Paulista UNESP, Fac Ciencias Agr & Vet, Dept Zootecnia, BR-14884900 Jaboticabal, SP - Brazil
[2] Univ Queensland, Sch Chem & Mol Biosci, Brisbane, Qld 4072 - Australia
[3] CSIRO, Agr Flagship, Brisbane, Qld 4072 - Australia
[4] Univ Queensland, Ctr Anim Sci, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4067 - Australia
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | BMC Genomics; v. 16, OCT 28 2015. |
| Web of Science Citations: | 11 |
| Abstract | |
Background: Asian buffaloes (Bubalus bubalis) have an important socio-economic role. The majority of the population is situated in developing countries. Due to the scarce resources in these countries, very few species-specific biotechnology tools exist and a lot of cattle-derived technologies are applied to buffaloes. However, the application of cattle genomic tools to buffaloes is not straightforward and, as results suggested, despite genome sequences similarity the genetic polymorphisms are different. Results: The first SNP chip genotyping platform designed specifically for buffaloes has recently become available. Herein, a genome-wide association study (GWAS) and gene network analysis carried out in buffaloes is presented. Target phenotypes were six milk production and four reproductive traits. GWAS identified SNP with significant associations and suggested candidate genes that were specific to each trait and also genes with pleiotropic effect, associated to multiple traits. Conclusions: Network predictions of interactions between these candidate genes may guide further molecular analyses in search of disruptive mutations, help select genes for functional experiments and evidence metabolism differences in comparison to cattle. The cattle SNP chip does not offer an optimal coverage of buffalo genome, thereafter the development of new buffalo-specific genetic technologies is warranted. An annotated reference genome would greatly facilitate genetic research, with potential impact to buffalo-based dairy production. (AU) | |
| FAPESP's process: | 13/12851-5 - Genic expression to study puberty and fertility in Brahman cattle |
| Grantee: | Gregório Miguel Ferreira de Camargo |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 10/20887-1 - Application of genomic information for the genetic improvement of dairy buffalo |
| Grantee: | Humberto Tonhati |
| Support Opportunities: | Regular Research Grants |