REC protein family expansion by the emergence of a new signaling pathway
Open accessPublished version of a preprint
Abstract
This report presents multi-genome evidence that REC protein family expansion occurs when the emergence of new pathways gives rise to functional discordance. Specificity between residues in REC domain containing response regulators with paired histidine kinases is under negative purifying selection, constrained by the presence of other bacterial two-component systems signaling cascades that share sequence and structural identity. Presuming that the two-component systems can evolve by neutral amino acid changes (neutral drift) when purifying evolutionary constraints are relaxed, how might the REC protein family expand by amino acid changes when these constraints remain intact? Using an unsupervised machine learning approach to observe the sequence landscape of REC domains across long phylogenetic distances, we find that within-gene recombination, a subcategory of gene conversion, switched the effector domain and, consequently, the regulatory context of a duplicated response regulator from transcriptional regulation by σ54 to that by σ70. We determined that the recombined response regulator diverged from its parent by episodic diversifying selection and neutral drift. Functional experiments of the parent of recombined response regulators in a model Pseudomonas putida KT2440 model system revealed that the parent and recombined response regulators sense and respond to different carboxylic acids. Finally, a residue-switching experiment using structural predictions and functional characterization suggests that the new residues in the recombined regulator could form a new interaction interface and mediate condition-specific phosphotransfer. Overall, our study finds that genetic perturbations can create conditions of functional discordance, whereby the REC protein family can evolve by episodic diversifying selection. IMPORTANCE: We explore when and why large classes of proteins expand into new sequence space. We used an unsupervised machine learning approach to observe the sequence landscape of REC domains of bacterial response regulator proteins. We find that within-gene recombination can switch effector domains and, consequently, change the regulatory context of the duplicated protein.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
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“We then encoded the sequences into a discrete variable vector representation (62), by encoding each amino acid into a 21-dimensional zero vector (one dimension for each possible amino acid and a gap character), except for the index representing the amino acid, which is set to 1.”
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- Authors
- Garber, M. E., Frank, V., Kazakov, A. E., Incha, M. R., Nava, A. A., Zhang, H., Valencia, L. E., Keasling, J. D., Rajeev, L., & Mukhopadhyay, A.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Mukhopadhyay, Aindrila
- ORCID
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2023-12-19
- Volume
- 14
- Issue
- 6
- Pages
- e0262223-e0262223
- ISSN
- 2150-7511 (ISSN-L)
- PMC
- PMC10746176
- OpenAlex
- W4388901777
- Cited by
- 0
- References
- 3
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Energy (2018253421)
- National Science Foundation (2018253421)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- response regulator proteins, protein family expansion, gene conversion, two-component systems, sigma54, sigma70, episodic diversifying selection, neutral drift, purifying selection, phosphotransfer, Pseudomonas putida KT2440, protein evolution
- MeSH terms
- Machine Learning, Protein Domains, Bacterial Proteins, Signal Transduction, Gene Expression Regulation, Bacterial, Evolution, Molecular
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