Evolution of substrate specificity in a retained enzyme driven by gene loss
Abstract
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 oftrpandhisgenes. 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.
- Authors:
-
- Evolution of Metabolic Diversity Laboratory, Unidad de Genómica Avanzada (Langebio), Cinvestav-IPN, Irapuato, Mexico
- Computing, Environment and Life Sciences Directorate, Argonne National Laboratory, Lemont, United States, Computation Institute, University of Chicago, Chicago
- Midwest Center for Structural Genomics, Biosciences Division, Argonne National Laboratory, Lemont, United States, Structural Biology Center, Biosciences Division, Argonne National Laboratory, Lemont, United States
- Department of Microbiology and Molecular Genetics, University of Texas Health Science Center, Houston, United States
- Midwest Center for Structural Genomics, Biosciences Division, Argonne National Laboratory, Lemont, United States
- Cinvestav-IPN, Mexico
- Midwest Center for Structural Genomics, Biosciences Division, Argonne National Laboratory, Lemont, United States, Department of Microbiology and Molecular Genetics, University of Texas Health Science Center, Houston, United States, Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, United States
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); Consejo Nacional de Ciencia y Tecnologia (CONACYT); National Science Foundation (NSF); National Institutes of Health (NIH)
- OSTI Identifier:
- 1352728
- Alternate Identifier(s):
- OSTI ID: 1352729; OSTI ID: 1393838
- Grant/Contract Number:
- AC02-06CH11357; 132376; 179290; GM094585; 1611952; DE017382
- Resource Type:
- Published Article
- Journal Name:
- eLife
- Additional Journal Information:
- Journal Name: eLife Journal Volume: 6; Journal ID: ISSN 2050-084X
- Publisher:
- eLife Sciences Publications, Ltd.
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Juárez-Vázquez, Ana Lilia, Edirisinghe, Janaka N., Verduzco-Castro, Ernesto A., Michalska, Karolina, Wu, Chenggang, Noda-García, Lianet, Babnigg, Gyorgy, Endres, Michael, Medina-Ruíz, Sofía, Santoyo-Flores, Julián, Carrillo-Tripp, Mauricio, Ton-That, Hung, Joachimiak, Andrzej, Henry, Christopher S., and Barona-Gómez, Francisco. Evolution of substrate specificity in a retained enzyme driven by gene loss. United States: N. p., 2017.
Web. doi:10.7554/eLife.22679.
Juárez-Vázquez, Ana Lilia, Edirisinghe, Janaka N., Verduzco-Castro, Ernesto A., Michalska, Karolina, Wu, Chenggang, Noda-García, Lianet, Babnigg, Gyorgy, Endres, Michael, Medina-Ruíz, Sofía, Santoyo-Flores, Julián, Carrillo-Tripp, Mauricio, Ton-That, Hung, Joachimiak, Andrzej, Henry, Christopher S., & Barona-Gómez, Francisco. Evolution of substrate specificity in a retained enzyme driven by gene loss. United States. https://doi.org/10.7554/eLife.22679
Juárez-Vázquez, Ana Lilia, Edirisinghe, Janaka N., Verduzco-Castro, Ernesto A., Michalska, Karolina, Wu, Chenggang, Noda-García, Lianet, Babnigg, Gyorgy, Endres, Michael, Medina-Ruíz, Sofía, Santoyo-Flores, Julián, Carrillo-Tripp, Mauricio, Ton-That, Hung, Joachimiak, Andrzej, Henry, Christopher S., and Barona-Gómez, Francisco. Fri .
"Evolution of substrate specificity in a retained enzyme driven by gene loss". United States. https://doi.org/10.7554/eLife.22679.
@article{osti_1352728,
title = {Evolution of substrate specificity in a retained enzyme driven by gene loss},
author = {Juárez-Vázquez, Ana Lilia and Edirisinghe, Janaka N. and Verduzco-Castro, Ernesto A. and Michalska, Karolina and Wu, Chenggang and Noda-García, Lianet and Babnigg, Gyorgy and Endres, Michael and Medina-Ruíz, Sofía and Santoyo-Flores, Julián and Carrillo-Tripp, Mauricio and Ton-That, Hung and Joachimiak, Andrzej and Henry, Christopher S. and Barona-Gómez, Francisco},
abstractNote = {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 oftrpandhisgenes. 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.},
doi = {10.7554/eLife.22679},
journal = {eLife},
number = ,
volume = 6,
place = {United States},
year = {Fri Mar 31 00:00:00 EDT 2017},
month = {Fri Mar 31 00:00:00 EDT 2017}
}
https://doi.org/10.7554/eLife.22679
Web of Science
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