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They discover that bread yeast is capable of evolving by circumventing the rules of natural selection

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They discover that bread yeast is capable of evolving by circumventing the rules of natural selection

Not all living organisms always evolve by natural selection or genetic drift, this is what a study from the University of Valencia recently published in the journal PLOS One suggests. The research team has shown that the common yeast Saccharomyces cerevisiae can thrive through a deterministic mechanism that does not follow the rules of 'survival of the fittest'. The work opens another avenue in the study of genetic inheritance and predicts its usefulness in the field of organisms of biotechnological interest.
The evolution of living beings occurs through natural selection of the fittest individuals – the mechanism proposed by Charles Darwin – or by genetic drift involving chance in the selection process. These are the only mechanisms demonstrated so far in living beings with heritable genetic information.
In non-living physical systems, such as minerals, planets, atoms or molecules, evolution occurs in a different way, following physicochemical laws that allow the outcome of the evolutionary process to be predicted.
A research team from the Institute of Biotechnology and Biomedicine (BIOTECMED) of the University of Valencia, in collaboration with the Institute of Integrative Systems Biology (I2SysBio, UV/CSIC), has discovered that, under certain conditions, baker's yeast (Saccharomyces cerevisiae) is capable of evolving from an unstable genome to a stable one through a deterministic – that is, predictable – mechanism, which is independent of natural selection. “It is an evolutionary process guided by chemical-physical principles, formally similar to the deterministic mechanisms that act in non-biological systems, without inheritance,” explains Biochemistry professor José. E Pérez Ortín, head of the Yeast Functional Genomics Laboratory of BIOTECMED, from where the project is developed. “With this example we propose the existence of organisms capable of developing gene regulation circuits that are activated under certain conditions and lead to an evolution independent of natural selection,” comments the scientist.
The work is based on a previous study in the that, when analyzing cells of different volumes in this yeast, it was observed that the largest ones contained more copies of the rDNA gene and it was postulated that it was a process of natural selection in which the cells with a higher number of copies of rDNA – that is, the most evolved cells – were the fittest. However, the results were contrary to this deduction. The cells with the highest number of copies were no more fit than the rest and the team set out to look for a new mechanism that would explain this result. where it is proposed that the mechanism for the rDNA gene in yeast occurs by “amplification only” and, therefore, the number of copies of a gene can only grow in the population of cells, we have carried out computer simulations of the process observed by us and we have verified that the bioinformatic model perfectly explains the observed results,” explains Pérez Ortín. “Under these conditions, the population gradually increases the number of copies of the gene, but the process does not lead to the production of more fit cells.”
Although, today, this is an exceptional case of the Darwinian law of natural selection, the study shows that processes independent of it can exist in living beings. “We do not know if mechanisms of this style could occur in other genes or organisms to escape natural selection in circumstances in which, in the long term, it is more favorable not to follow the survival of the fittest” declares José E. Pérez, according to whom “the design principles found in this mechanism could be used in the artificial construction of regulatory circuits for purposes applied in organisms of biotechnological interest.”
Reference: A feedback mechanism controls rDNA copy number evolution in yeast independently of natural selection. Vicente Arnau, Marina Barba-Aliaga, Gaurav Singh, Javier Ferri, José García-Martínez and José E. Pérez-Ortín. PLOS One.
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