Marcos V.G.B. da Silva
Embrapa Gado de Leite
Post-Doctoral - Bovine Functional Genomics Lab./ANRI/BARC/ARS/USDA, Bioinformatics and Statistical Genomics, Nov 2006 to Apr 2009
Ph.D. - Federal University of Vicosa, Genetics and Animal Breeding, Dec 2002
M.Sc. - Federal University of Minas Gerais, Animal Breeding, July 1995
B.S. Awarded - São Paulo University, Animal Science, Dec 1990
- November 2006 – April 2009.
Research Geneticist (Post-Doctoral Position), USA. Bovine Functional Genomics Lab./ANRI/BARC/ARS/USDA, Bioinformatics and Statistical Genomics.
- May 2002 - Present.
Research Geneticist Brazil Department of Agriculture, Embrapa Dairy Cattle, Bioinformatics and Animal Genomics Laboratory.
- Implement genomic selection in dairy cattle breeds under progeny test in Brazil
- Genome-wide association studies in livestocK
- Genome sequencing of zebu
- Develop and implement methodologies for detection and characterization of quantitative trait loci (QTL) in dairy cattle.
- Evaluate methods available for QTL identification. Developed a set of Fortran programs to simulated genotypes and phenotypes and mapping QTL using random models and IBD.
- Responsible for national Girolando cattle evaluation and progeny test.
- July 1994 - May 2002.
Research Geneticist Sao Paulo State Department of Agriculture, Animal Breeding Institute.
- Responsible for genetic analyzes of dairy cattle in Sao Paulo State.
February 1992 - May 1994.
Graduate Research Assistant, Federal University of Minas Gerais.
January 1991 - January 1992.
Researching Assistant, Brazil Department of Agriculture, Embrapa Dairy Cattle
2010 – Group Honor Award of Excellence, United States Department of Agriculture, USA.
2009 - Overseas Honorable Researcher, Rural Development Administration, South Korea.
2008 - BARC/USDA Outstanding pos-doctoral in 2008, BARC/Agricultural Research Service/United States Department of Agriculture.
2008 – Short-paper award in Bioinformatics and Computational Modelling , II Meeting in Computational Moelling of Brazilian National Scientific Computational (IIEAMC/LNCC )
2007 - Geraldo Gonçalves Carneiro Award. Manuscript: Associations of leptin gene polymorphisms with production traits in pigs, Brazilian Society of Animal Science.
2007 - BARC/USDA Outstanding pos-doctoral in 2007, BARC/Agricultural Research Service/United States Department of Agriculture.
1990 - Outstanding undergraduate teaching assistant award from the Department of Animal Science, Sao Paulo, University Brazil, 1990.
How genomics can be applied for sustainable livestock production
The use of genomic technologies in livestock is a great opportunity to help meet sharp increases in global food demands predicted to occur over the next few decades. Whether as a source of healthy food for humans, contributing to environmental sustainability, or as a potential source of new therapeutics, livestock are an important resource for mankind’s future. The field of human genomics has spurred the wave of new technologies that increase data integrity and development of genomic tools and applications. Animal genomics has followed a similar developmental path, but there is a big difference, because food animals were often selected for specific phenotypes. Furthermore, the use of genetic screening and quantitative methods for animal breeding are well advanced and these approaches can assist the development of tools for human diseases with a genetic component. Although the use of genomics is important for the improvement of domestic species and for understanding the underlying mechanisms of genes, some issues like the use of cloning and genetic modification are still controversial. The objective of this talk is to describe the application of different methodologies in genome selection, genome-wide association studies, and gene expression in livestock and to show how genome research in livestock species has contributed to the correct understanding of chromosome evolution and informed approaches in research of the human genome. Enhancement of these contributions and the application of RNA and DNA-based tools to animal health and production can be expected as livestock genomics enters its sequencing era.