Network Analysis of Sequence-Function Relationships and Exploration of Sequence Space of TEM β-Lactamases
| Autor: | Constantin Vogel, Michael Widmann, Silvia Fademrecht, Catharina Zeil, Jürgen Pleiss |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Pharmacology Current (mathematics) 030106 microbiology Computational biology Models Theoretical Chemistry Biosynthesis Biology Phenotype beta-Lactamases 03 medical and health sciences Tree (descriptive set theory) 030104 developmental biology Infectious Diseases Mutation Mutation (genetic algorithm) Pharmacology (medical) Sequence space (evolution) Function (biology) Network analysis Sequence (medicine) |
| Zdroj: | Antimicrobial Agents and Chemotherapy. 60:2709-2717 |
| ISSN: | 1098-6596 0066-4804 |
| DOI: | 10.1128/aac.02930-15 |
| Popis: | The Lactamase Engineering Database ( www.LacED.uni-stuttgart.de ) was developed to facilitate the classification and analysis of TEM β-lactamases. The current version contains 474 TEM variants. Two hundred fifty-nine variants form a large scale-free network of highly connected point mutants. The network was divided into three subnetworks which were enriched by single phenotypes: one network with predominantly 2be and two networks with 2br phenotypes. Fifteen positions were found to be highly variable, contributing to the majority of the observed variants. Since it is expected that a considerable fraction of the theoretical sequence space is functional, the currently sequenced 474 variants represent only the tip of the iceberg of functional TEM β-lactamase variants which form a huge natural reservoir of highly interconnected variants. Almost 50% of the variants are part of a quartet. Thus, two single mutations that result in functional enzymes can be combined into a functional protein. Most of these quartets consist of the same phenotype, or the mutations are additive with respect to the phenotype. By predicting quartets from triplets, 3,916 unknown variants were constructed. Eighty-seven variants complement multiple quartets and therefore have a high probability of being functional. The construction of a TEM β-lactamase network and subsequent analyses by clustering and quartet prediction are valuable tools to gain new insights into the viable sequence space of TEM β-lactamases and to predict their phenotype. The highly connected sequence space of TEM β-lactamases is ideally suited to network analysis and demonstrates the strengths of network analysis over tree reconstruction methods. |
| Databáze: | OpenAIRE |
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