Actions for Evolution of substrate specificity in a retained enzyme driven by gene loss [electronic resource].
Evolution of substrate specificity in a retained enzyme driven by gene loss [electronic resource].
- Published
- Washington, D.C. : United States. Dept. of Energy. Office of Basic Energy Sciences, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy - Physical Description
- Article numbers e22,679 : digital, PDF file
- Additional Creators
- Argonne National Laboratory, United States. Department of Energy. Office of Basic Energy Sciences, Consejo Nacional de Ciencia y Tecnología (Mexico), National Science Foundation (U.S.), National Institutes of Health (U.S.), and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- The connection between gene loss and the functional adaptation of retained proteins is still poorly understood. We apply phylogenomics and metabolic modeling to detect bacterial species that are evolving by gene loss, with the finding that Actinomycetaceae genomes from human cavities are undergoing sizable reductions, including loss of L-histidine and L-tryptophan biosynthesis. We observe that the dual-substrate phosphoribosyl isomerase A or
priA gene, at which these pathways converge, appears to coevolve with the occurrence oftrp andhis genes. Characterization of a dozen PriA homologs shows that these enzymes adapt from bifunctionality in the largest genomes, to a monofunctional, yet not necessarily specialized, inefficient form in genomes undergoing reduction. These functional changes are accomplished via mutations, which result from relaxation of purifying selection, in residues structurally mapped after sequence and X-ray structural analyses. Finally, our results show how gene loss can drive the evolution of substrate specificity from retained enzymes. - Report Numbers
- E 1.99:1393838
- Subject(s)
- Note
- Published through SciTech Connect.
03/31/2017.
"137997"
eLife 6 ISSN 2050-084X AM
Ana Lilia Juárez-Vázquez; Janaka N. Edirisinghe; Ernesto A. Verduzco-Castro; Karolina Michalska; Chenggang Wu; Lianet Noda-García; Gyorgy Babnigg; Michael Endres; Sofía Medina-Ruíz; Julián Santoyo-Flores; Mauricio Carrillo-Tripp; Hung Ton-That; Andrzej Joachimiak; Christopher S. Henry; Francisco Barona-Gómez. - Funding Information
- AC02-06CH11357
132376
179290
GM094585
1611952
DE017382
View MARC record | catkey: 23497645