Evolutionary Genomics and Systems Biology 2010
DOI: 10.1002/9780470570418.ch20
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Modularity and Dissipation in Evolution of Macromolecular Structures, Functions, and Networks

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Cited by 15 publications
(24 citation statements)
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“…This limitation sets the pace of proteome growth, which in the cumulative plots of Figure 2D shows domain gain always overwhelms domain loss, regardless of the superkingdom or taxonomical group of FFs that is considered. Similarly, plots of use and reuse of fold superfamilies show a clear increase in values for proteomes, starting with Archaea, then Bacteria, and finally Eukarya [48]. We reveal these same patterns if the study of FFs.…”
Section: Methodssupporting
confidence: 54%
“…This limitation sets the pace of proteome growth, which in the cumulative plots of Figure 2D shows domain gain always overwhelms domain loss, regardless of the superkingdom or taxonomical group of FFs that is considered. Similarly, plots of use and reuse of fold superfamilies show a clear increase in values for proteomes, starting with Archaea, then Bacteria, and finally Eukarya [48]. We reveal these same patterns if the study of FFs.…”
Section: Methodssupporting
confidence: 54%
“…These molecular processes are responsible for the redundant appearance and accumulation of modules in the structure of living organisms [e.g., how many times particular protein domains are present in proteomes (i.e., genomic abundance)] [24]. The structural hierarchy defined in the Structural Classification of Proteins (SCOP) groups protein domains with high sequence conservation (>30% identities) into fold families (FFs), FFs with structural and functional evidence of common origin into fold superfamilies (FSFs), FSFs with common topologies (i.e., same major secondary structure in same arrangement) into folds (Fs) and Fs with similar secondary structure (e.g., alpha helix, beta sheet etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Because domains defined at higher levels of SCOP classification (i.e., FSFs) exhibit higher levels of evolutionary conservation than domains defined at the lower fold family (FF) or sequence levels, they make useful tools (phylogenetic characters) when studying the evolution of protein domains and organisms [28,29]. This focus on structure as general evolutionary principle of biology offers several advantages over standard phylogenetic methods and overcomes important limitations imposed by the violation of assumptions that occur when attempting to extract deep phylogenetic signal present in molecular sequence data [24]. For example, phylogenomic trees derived from genomic abundance counts of FF and FSF domains [28,30] are less prone to the effects of HGT as shown in a number of studies [29,31-34] and do not require computation of sequence alignment, making them free from the problems resulting from characters that are not applicable to data sets (i.e., insertion/deletions in sequence alignment) [35,36].…”
Section: Introductionmentioning
confidence: 99%
“…What drives their generation? We have made the case that information dissipation and modularity pervade biological structure in a way that maximizes energy and information flux through a system 61 . We used Layzer's far-fromequilibrium cosmological model to argue that a simple conservation law links information and entropy.…”
Section: Discussionmentioning
confidence: 99%