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https://lnkd.in/e_KZyrFS Was the evolution guided by a helping hand to move humanity to the next state?, is a question many a philosophers, scientists and like have had for generations. It seems evolution is orderly and most probably contrary to popular scientific belief. In a landmark discovery that challenges decades of scientific understanding, a new study has revealed that evolution is not as random as previously believed. The research suggests a more predictable pattern of evolution, opening doors to unprecedented advancements in various fields, including medicine, synthetic biology, and environmental science leading to a more cohesive, comprehensive and single strategy approach for myriad of scientific domains. The experts meticulously analyzed the pangenome — a complete set of genes within a species. By deploying a machine learning technique known as Random Forest, and processing data from 2,500 complete genomes of a single bacterial species, the team embarked on a journey to unravel the mysteries of evolutionary predictability. “The implications of this research are nothing short of revolutionary,” said Professor McInerney, the lead author of the study. “By demonstrating that evolution is not as random as we once thought, we’ve opened the door to an array of possibilities in synthetic biology, medicine, and environmental science.” The research process involved creating “gene families” from the genomes to facilitate like-for-like comparisons across them. The researchers have essentially discovered an invisible ecosystem where genes can cooperate or can be in conflict with one another. These interactions between genes make aspects of evolution somewhat predictable and furthermore, we now have a tool that allows us to make those predictions. In summary, this important research presents significant opportunities in several fields. Scientists are now capable of designing synthetic genomes, which provides a structured approach to manipulating genetic material, a breakthrough in novel genome design. Additionally, the study offers valuable insights for climate change mitigation. It suggests the possibility of engineering microorganisms to either capture carbon or degrade pollutants. Lastly, in the medical field, the predictability of gene interactions could lead to substantial advancements in personalized medicine. #syntheticbiology #healthcarecosts #climatechange #proteinmapping

Paradigm shift: Evolution is not as random as we thought

Paradigm shift: Evolution is not as random as we thought

earth.com

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