{"title":"Mapping Evolution of Molecules Across Biochemistry with Assembly Theory","authors":"Sebastian Pagel, Abhishek Sharma, Leroy Cronin","doi":"arxiv-2409.05993","DOIUrl":null,"url":null,"abstract":"Evolution is often understood through genetic mutations driving changes in an\norganism's fitness, but there is potential to extend this understanding beyond\nthe genetic code. We propose that natural products - complex molecules central\nto Earth's biochemistry can be used to uncover evolutionary mechanisms beyond\ngenes. By applying Assembly Theory (AT), which views selection as a process not\nlimited to biological systems, we can map and measure evolutionary forces in\nthese molecules. AT enables the exploration of the assembly space of natural\nproducts, demonstrating how the principles of the selfish gene apply to these\ncomplex chemical structures, selecting vastly improbable and complex molecules\nfrom a vast space of possibilities. By comparing natural products with a\nbroader molecular database, we can assess the degree of evolutionary\ncontingency, providing insight into how molecular novelty emerges and persists.\nThis approach not only quantifies evolutionary selection at the molecular level\nbut also offers a new avenue for drug discovery by exploring the molecular\nassembly spaces of natural products. Our method provides a fresh perspective on\nmeasuring the evolutionary processes both, shaping and being read out, by the\nmolecular imprint of selection.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Evolution is often understood through genetic mutations driving changes in an
organism's fitness, but there is potential to extend this understanding beyond
the genetic code. We propose that natural products - complex molecules central
to Earth's biochemistry can be used to uncover evolutionary mechanisms beyond
genes. By applying Assembly Theory (AT), which views selection as a process not
limited to biological systems, we can map and measure evolutionary forces in
these molecules. AT enables the exploration of the assembly space of natural
products, demonstrating how the principles of the selfish gene apply to these
complex chemical structures, selecting vastly improbable and complex molecules
from a vast space of possibilities. By comparing natural products with a
broader molecular database, we can assess the degree of evolutionary
contingency, providing insight into how molecular novelty emerges and persists.
This approach not only quantifies evolutionary selection at the molecular level
but also offers a new avenue for drug discovery by exploring the molecular
assembly spaces of natural products. Our method provides a fresh perspective on
measuring the evolutionary processes both, shaping and being read out, by the
molecular imprint of selection.