Oscar Gonzalez-Recio
Profile Url: OscarGenomics
Senior Research Scientist at INIA & Instituto Nacional de Investigación y Tecnologia Agraria y Alimentaria
Oscar González-Recio completed his PhD in 2006. Since then, he has conducted research in three continents including the University of Wisconsin in the USA, the Department of Environment and Primary Industries in Australia, and the National Institute for Agricultural and Food Research in Spain. He is also associate professor at the UPM University.
His expertises include genomic selection, statistical genomics, epigenetics, metagenomics and sequencing.
Since 2013, his research mainly focuses on genomic applications to breed for more efficient and sustainable livestock with lower methane emissions. Recently, the role of the microbiome in the sustainability of animal husbandry towards a ONE HEALTH concept is getting much of his research interest.
During the COVID19 pandemic, Oscar participated in sequencing samples from COVID patients using Nanopore technology.
Semana de la Ciencia, 20/10/2020
<p class="body-1">[Charla en ESPAÑOL] This video is about rapid DNA library preparation with the field sequencing kit of Oxford Nanopore Techonologies. (The video is in Spanish)</p>
COP25, 05/12/2019
<p class="body-1">[Charla en ESPAÑOL] Trabajamos en estrategias de nutrición y selección para reducir las emisiones de metano en vacuno y mejorar la eficiencia alimentaria.</p>
London Calling 2020, June 2020
Ruminants have co-evolved with bacteria for over 15 years. This symbiosis has formed one of the most complex and efficient natural bioreactors in the world – the rumen. Oscar’s team analysed 450 cow rumens: DNA was prepared by ligation and sequenced in multiplex on the MinION, 12 samples per run. Microbes were classified using SqueezeMeta. All microbial genes they found were associated with over 14,000 KEGG pathways, and the microbes were classified into 7,046 genera and 14,624 species. Higher abundance of ciliates and fungi caused more methane production – because more H2 produced from these organisms helps Archaea grow, and they produce methane. What about the resistome? They identified 998 AMR genes, with resistance to antibiotics often used in veterinary treatments. They also found genes associated with resistance to antibiotics restricted for human use; ‘the question is how they got there’.
5th Euro-Global Summit and Expo on Food & Beverages, June, 2015
In the coming future it was predicted that the human population growth increases (United Nation 2017) which means that dairy and beef industries will face the challenge of competing for grain and feed resources with other livestock industries, human consumption and biofuel production. At the same time global wealth is increasing, fueling a rapid global increase in demand for high value protein including dairy products. Improved cow feed efficiency is important for dairy industries to both remain competitive and to meet projected demands with constrained resources. Furthermore, feed efficiency of dairy cows has a considerable impact on the profitability of dairy farms as feed represents around 50% of total farm costs. Recognition of the importance of feed efficiency in the dairy industry has resulted in large scale global efforts to improve this trait. Measuring feed efficiency is expensive and needs of experimental farms and complex designs. This trait is not routinely recorded in farms and breeding programs have used indirect traits to select for it, slowing down its genetic progress. Genomic selection allows us using information from experimental animals to select parents of the next generation directly for feed efficiency. We have developed genomic evaluations for feed efficiency for any animal with SNP genotypes. We could reduce the feed consumption by 0.50-0.85 kg/year/cow. If all 1.7 million dairy cows in Australia ate 1% less feed this would save 103,700 tDM/year of feed and ~13k hectares of land to be used for human food production, assuming the land is also suitable for other food sources to be grown.
[In Spanish] Secuenciación rápida del genoma del coronavirus SARS-CoV-2, para la vigilancia genómica de variantes tanto en humanos como en animales