Finding new genetic disorders in cattle could help animals and milk production

Publicly released:
New Zealand
Photo showing the bodyweight effects of one of the newly discovered variants, comparing an affected (left) and unaffected (right) animal of the same age.
Photo showing the bodyweight effects of one of the newly discovered variants, comparing an affected (left) and unaffected (right) animal of the same age.

Genetic disorders in cattle can cause less milk production, loss of body weight (by up to a quarter), and even increased early-life death. These mutations can happen from intensive breeding techniques, such as artificial insemination, which allows a single elite bull to inseminate more than one-million cows. Genes have been tested before in cows suspected to have mutations, but fresh research shows that proactive gene testing in seemingly-healthy farm animals can uncover new genetic disorders. The authors say this will help to minimise genetic disease, improving both animal health and productivity.

Media release

From: Massey University

New study takes novel genes-first approach to mapping disorders

Genetic disorders compromise the welfare of farm animals and have impacts on the production and management of these animals. One such way of reducing this risk is to map the genes responsible for different syndromes. However, until now, this has been a reactive process, with farmers alerting vets or breeding companies once a genetic disorder is suspected, and researchers then aiming to confirm the disorder by gathering information on the phenotypes and genotypes of select individuals to try and identify the cause.

A new study recently published in the prestigious scientific journal Nature Genetics by researchers at Massey University and Livestock Improvement Corporation (LIC) has now turned this process on its head, leveraging ever-growing genomic sequence data to proactively investigate animals’ differences in production traits resulting from genome sequence variants. Having identified these outlier animals, further investigation highlighted effects that had otherwise gone unnoticed.

The paper’s lead author, PhD student Edwardo Reynolds studying at Massey’s AL Rae Centre of Genetics and Breeding at Ruakura says, “These are very exciting discoveries. It’s proof that we can identify new genetic disorders proactively and demonstrates a viable means of further enhancing the health and productivity of New Zealand dairy animals.”

Research leader at LIC, and Massey Professor in Animal Genetics Matt Littlejohn supervised the research, and says, “We were surprised at the number and scale of effects. Edwardo’s publication of this work in one of the world’s best biology journals is also a very significant achievement for such an early career scientist.”

Professor Dorian Garrick, co-supervisor of Mr Reynolds and chief scientist at the AL Rae Centre says, “The research demonstrates the value of academia and industry working together and the benefits that can be developed for farmers when pure and applied sciences are used to tackle real-world problems.”

The team found six recessive variants with effects ranging from mild (slight loss of body condition with limited other impacts) to major (approximately 25 per cent reduction in bodyweight and increased early-life mortality).

Beyond the bodyweight effects that led to the discoveries, many other impacts including lower milk production (approximately 1000 litres of milk per lactation for the biggest effect variant), lower milk solids (75kg less per lactation for the biggest effect variant), smaller stature, smaller chest circumference, and other anatomical changes were also identified.

Professor Littlejohn says knowledge of these variants can now be used to help manage the frequencies of the variants through genetic testing.

The research was supported by government funding as part of the MBIE Endeavour Next Gen GS programme, which aims to enhance further discovery of variants at increasingly lower frequencies as datasets continue to grow.

Journal/
conference:
Nature Genetics
Research:Paper
Organisation/s: Massey University, Livestock Improvement Corporation, New Zealand
Funder: We are also particularly grateful for financial support from the Ministry of Business, Innovation and Employment (MBIE; Wellington, New Zealand) and the Ministry for Primary Industries (MPI; Wellington, New Zealand), who independently co-funded the work through the Endeavour Fund (LICX1802) and (now historical) Primary Growth Partnership research programs, respectively. E.G.M.R. is also supported by a Ministry for Primary Industries Postgraduate Scholarship (Wellington, New Zealand) and an Al Rae Centre scholarship (Hamilton, New Zealand). We are additionally grateful for the use of New Zealand eScience Infrastructure (NeSI) high-performance computing facilities as part of this research.
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