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Evolution and Functional Information

View ORCID ProfileMatthew K. Matlock, View ORCID ProfileS. Joshua Swamidass
doi: https://doi.org/10.1101/114132
Matthew K. Matlock
1Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, 63110
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S. Joshua Swamidass
1Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, 63110
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Abstract

“Functional Information”—estimated from the mutual information of protein sequence alignments—has been proposed as a reliable way of estimating the number of proteins with a specified function and the consequent difficulty of evolving a new function. The fantastic rarity of functional proteins computed by this approach emboldens some to argue that evolution is impossible. Random searches, it seems, would have no hope of finding new functions. Here, we use simulations to demonstrate that sequence alignments are a poor estimate functional information. The mutual information of sequence alignments fantastically underestimates of the true number of functional proteins, because it also is strongly influenced by a family’s history, mutational bias, and selection. Regardless, even if functional information could be reliably calculated, it tells us nothing about the difficulty of evolving new functions, because it does not estimate the distance between a new function and existing functions. The pervasive observation of multifunctional proteins suggests that functions are actually ver close to one another and abundant. Multifunctional proteins would be impossible if the FI argument against evolution were true.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 07, 2017.
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Evolution and Functional Information
Matthew K. Matlock, S. Joshua Swamidass
bioRxiv 114132; doi: https://doi.org/10.1101/114132
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Evolution and Functional Information
Matthew K. Matlock, S. Joshua Swamidass
bioRxiv 114132; doi: https://doi.org/10.1101/114132

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