News Release

Gene-ius Management: The Power of Genetic Overview

Genetic Overview (GO) analysis leverages genetic markers, such as single nucleotide polymorphisms (SNPs), to provide a comprehensive snapshot of a population’s genetic makeup. This includes insights into diversity, inbreeding, relatedness, and the overall genetic structure. The depth of analysis can vary, typically involving 150 to over 50,000 SNPs per animal, depending on specific management goals and available resources.

Genetic Overview Analysis for Genetic Management
Traditional pedigree tracking methods have a 2-10% error rate. For aquatic species with high offspring numbers and multiple breeders, using SNPs for more accurate pedigree tracking is highly recommended.

For producers looking to establish a selective breeding program, GO provides crucial baseline data. It helps identify the genetic strengths and weaknesses within a population, guiding the selection of traits and individuals that can contribute to enhanced productivity and sustainability.

Producers with ongoing breeding efforts can use GO to assess the effectiveness of their current strategies. By comparing genetic data over time, they can see how their selections have impacted genetic diversity and adapt their approaches to mitigate inbreeding or enhance desirable traits.

Not all aquaculture operations engage in active selective breeding. However, understanding the genetic makeup of broodstock is vital to prevent genetic bottlenecks and ensure the health of future generations. GO analysis provides the necessary information to manage these populations intelligently, even without selection for specific traits. A GO analysis done at regular intervals for mass selection breeding programs can help control inbreeding and provide a map of the best individuals to cross in the next generation for maximum diversity.

Conservation managers and non-breeding facilities also benefit from GO analysis. It enables them to monitor genetic diversity and relatedness within captive populations, crucial for maintaining the genetic health and viability of species, particularly those at risk of extinction.

The short answer is because the GO analysis can reveal a management strategy that you cannot see, but let’s expand on that. The phrase “the DNA does not lie” is often used because DNA reveals the unknown history of breeding lines, even when current owners are unaware. This genetic fingerprint can trace whether animals were wild-caught, purchased from another farm, or acquired from a scientific study, detailing their ancestral origins and current genetic makeup. Furthermore, GO analysis can uncover additional information beyond just these aspects.

The benefits of GO analysis extend beyond mere data collection; it empowers producers and managers with the ability to make informed decisions that affect the genetic health and productivity of their aquaculture operations. In an industry where the stakes of genetic health are high—impacting everything from disease resistance to growth rates—having a detailed genetic overview is not just useful; it’s indispensable.

By integrating GO into their management practices, aquaculture operations can ensure their activities are not only productive today but also sustainable for the future. This approach helps maintain a robust genetic pool, essential for the long-term viability of both commercial and conservation-focused management efforts.