The benefits of utilizing a finance-based mathematical model are numerous, as it allows for the testing of theories regarding trait convergence and the role of natural selection in shaping the evolutionary history of organisms.
A team of researchers from The university of Queensland has developed a unique mathematical model that combines both short-term natural selection (microevolution) and long-term species evolution (macroevolution). Led by Dr. Simone Blomberg from the School of Environment, this study utilized data from the finance sector to analyze how stock portfolios and share prices among various companies are related over time.
By applying this finance-based model to genetic data on Anolis lizards, Blomberg and her colleagues were able to gain insight into how these lizards evolved over millions of years. This groundbreaking research has allowed for a better understanding of the relationship between traits as they evolved into different Anolis species.
“For the first time, we have been able to express this relationship in a mathematical model,” said Blomberg in a statement released to media outlets.”Using advanced geometrical methods, we were able to accurately trace the evolution of Anolis species while staying true to their genetic relationships. this type of mathematics is not commonly used in biology but proved essential in bridging micro- and macro-evolutionary frameworks.”
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The advantages of using this finance-based mathematical model are significant, as it allows for the testing of theories regarding trait convergence and the role of natural selection in shaping the evolutionary history of organisms, according to Blomberg.
The complete research paper, titled Multivariate trait evolution: models for the evolution of the quantitative genetic G-matrix on phylogenies, can be found on the Evolution Letters website.
Interesting approach! Looking forward to seeing the findings.