Biology subjects

Capdevila, D. A.

Publications and source records attributed to Capdevila, D. A..

8 recordsLinked to original sources

bioRxiv2026

Evolution of allostery without shape shifting: Internal dynamics drives functional diversification of a transcriptional repressor superfamily

Allostery enables proteins to couple environmental signals to functional outputs, yet how allosteric mechanisms diversify during evolution remains poorly understood. Here, we address this question in the ubiquitous and functionally diverse arsenic repressor (ArsR) superfamily by integrating information-theoretic bioinformatics, structural characterization of DNA recognition and NMR measurements of fast internal dynamics. We identify conserved residues that define the structural scaffold of ArsR proteins and subfamily-specific positions that encode inducer and DNA specificity. In the persulfide sensor SqrR, the crystal structure of the DNA-bound complex reveals how operator specificity is encoded by a limited set of residues, consistent with sequence-derived predictions functionally validated by in vitro transcription assays across divergent ArsR regulators. We further show that allosteric inhibition of DNA binding in SqrR occurs without large-scale conformational rearrangements and is instead associated with changes in internal dynamics, as previously observed for the zinc sensor CzrA. Together, these results support a model in which conformational entropy preserves allosteric connectivity while relaxing sequence constraints, thereby enabling functional diversification within a protein superfamily.

biochemistry↗

bioRxiv2026

Functional diversity across families of bacterial metalloregulators: what can we learn about specificity from sequence similarity?

The exponential growth of sequence databases, driven by large-scale genome sequencing, has created a major challenge for the functional annotation of proteins, particularly within highly divergent families such as bacterial metal-responsive transcription factors. In these systems, low sequence identity places many proteins within the so-called "twilight zone" of the proteome, where homology inference and functional assignment become unreliable. Here, we integrate sequence similarity networks (SSNs) with structural approaches to explore the functional diversity of twelve metalloregulatory families. Using SSNs, we partition each family into putative isofunctional clusters and map available experimental annotations onto network topology, revealing substantial heterogeneity in both sequence diversity and functional characterization across families. While some families, such as ArsR and CsoR, display relatively well-defined functional landscapes, others, including LysR, TetR, and GntR, remain largely unexplored despite their large sequence space. Structural comparisons further show that, despite extensive sequence divergence, conserved architectural features underpin DNA recognition and regulatory mechanisms across families. Focusing on the MerR and Fur families, we identify conserved residues associated with inducer binding and DNA recognition, and uncover distinct functional subgroups, including metal-specific sensors and regulators with alternative signaling mechanisms. Finally, we demonstrate that cluster-derived HMM profiles enable sensitive detection of candidate regulators in non-model genomes, revealing lineage-specific expansions and diversification of metal-sensing repertoires. Together, our results provide a framework for mapping functional diversity in highly divergent protein families and highlight the potential of combining SSNs and structural information to guide the discovery of novel transcriptional sensors.

bioinformatics↗

bioRxiv2026

In vitro evolution of DNA operators enables multivalency protein-DNA interactions: towards programmable transcription factor regulation

In vitro transcription (IVT) systems regulated by allosteric transcription factors (aTFs) are central to emerging cell-free biosensing and synthetic biology platforms, yet their performance is often limited by suboptimal protein-DNA interactions and the need for well-characterized regulatory elements. Here, we report an in vitro evolution strategy to engineer DNA operator sequences that enables tunable aTF-DNA interactions without requiring prior detailed knowledge of the native operator or regulatory mechanism. Using a SELEX-based approach with integrated positive and counter-selection steps, we evolved non-natural operators for the sulfane sulfur-responsive transcriptional repressor SqrR. The selected sequences preserve ligand-responsive allostery, with some sequences exhibiting enhanced binding affinity and reducing transcriptional leakage. Notably, we identify operator with binding behaviors consistent with cooperative recruitment of multiple SqrR dimers, suggesting that sequence architecture can modulate aTF-DNA interactions beyond affinity alone. Incorporation of these operators into IVT circuits improves transcriptional control and dynamic range, enabling the development of ROSALIND-based sensors for sulfane sulfur species, achieving sensitive and selective detection in a fully cell-free format. More broadly, this work establishes operator evolution as a programmable strategy to optimize transcription factor-DNA interactions and expand the design space of transcription-based biosensors, including for systems lacking well-characterized genetic components.

synthetic biology↗

bioRxiv2025

Lateral flow cell-free transcriptional assay for contaminant detection

Cell free transcriptional biosensors are emerging as a powerful technology, offering enhanced capabilities for detecting chemical contaminants in settings where traditional analytical techniques fall short of societal needs. However, the sensitivity of these biosensors for many critical chemical contaminants often remains insufficient to meet regulatory detection limits, while maintaining portability and ensuring selectivity. In this work, an in vitro transcription (IVT) based lateral flow assay (LFA) is reported, which is 1000 times more sensitive than reported IVT portable detection methods. Through combining the amplification power of IVT with nucleic acid LFA-based avidity effects, we develop rapid, ultra-sensitive turn-on sensors. Our sensors meet regulatory detection limits for lead, a particularly challenging metal ion contaminant, in untreated spring water samples collected from a basin that exemplifies the environmental monitoring challenges. Additionally, we show that by optimizing the IVT conditions, we can tune the limit of detection to produce an on-off signal reaching the WHO regulation threshold and others. Finally, we evaluate the selectivity of different metal-responsive repressors in the context of in vitro biosensing and discuss how to identify potentially hazardous samples with an easy-to-use and point-of-care assay.

synthetic biology↗

bioRxiv2024

Engineering a cell-free biosensor signal amplification circuit with polymerase strand recycling

Cell-free systems are powerful synthetic biology technologies because of their ability to recapitulate sensing and gene expression without the complications of living cells. Cell-free systems can perform even more advanced functions when genetic circuits are incorporated as information processing components. Here we expand cell-free biosensing by engineering a highly specific isothermal signal amplification circuit called polymerase strand recycling (PSR) that leverages T7 RNA polymerase off-target transcription to recycle nucleic acid inputs within DNA strand displacement circuits. We develop design rules for PSR circuit components and use these rules to construct modular biosensors that can directly sense different RNA targets with limits of detection in the nM range and high specificity. We then use PSR for signal amplification within allosteric transcription factor-based biosensors for small molecule detection. We use a double equilibrium model of transcription factor:DNA and transcription factor:ligand binding interactions to predict biosensor sensitivity enhancement by PSR, and then demonstrate this approach experimentally by achieving 3.6-4.6-fold decreases in biosensor EC50 to sub micromolar ranges. We believe this work expands the current capabilities of cell-free circuits by incorporating PSR, which we anticipate will have a wide range of uses within biotechnology.

synthetic biology↗

bioRxiv2023

Increased intracellular persulfide levels attenuate HlyU-mediated hemolysin transcriptional activation in Vibrio cholerae

The vertebrate hosts immune system and resident commensal bacteria deploy a range of highly reactive small molecules that provide a barrier against infections by microbial pathogens. Gut pathogens, such as Vibrio cholerae, sense and respond to these stressors by modulating the expression of exotoxins that are crucial for colonization. Here, we employ mass-spectrometry-based profiling, metabolomics, expression assays and biophysical approaches to show that transcriptional activation of the hemolysin gene hlyA in V. cholerae is regulated by intracellular reactive sulfur species (RSS), specifically sulfane sulfur. We first present a comprehensive sequence similarity network analysis of the arsenic repressor (ArsR) superfamily of transcriptional regulators where RSS and reactive oxygen species (ROS) sensors segregate into distinct clusters. We show that HlyU, transcriptional activator of hlyA in V. cholerae, belongs to the RSS-sensing cluster and readily reacts with organic persulfides, showing no reactivity and remaining DNA-bound following treatment with various ROS in vitro, including H2O2. Surprisingly, in V. cholerae cell cultures, both sulfide and peroxide treatment downregulate HlyU-dependent transcriptional activation of hlyA. However, RSS metabolite profiling shows that both sulfide and peroxide treatment raise the endogenous inorganic sulfide and disulfide levels to a similar extent, accounting for this crosstalk, and confirming that V. cholerae attenuates HlyU-mediated activation of hlyA in a specific response to intracellular RSS. These findings provide new evidence that gut pathogens may harness RSS-sensing as an evolutionary adaptation that allows them to overcome the gut inflammatory response by modulating the expression of exotoxins.

biochemistry↗

bioRxiv2021

Functional asymmetry and chemical reactivity of CsoR family persulfide sensors

CstR is a persulfide-sensing member of the functionally diverse copper-sensitive operon repressor (CsoR) superfamily that regulates the bacterial response to hydrogen sulfide (H2S) and more oxidized reactive sulfur species (RSS) in Gram-positive pathogens. A cysteine thiol pair on CstR reacts with RSS to form a mixture of interprotomer di-, tri- and tetrasulfide crosslinks, which drives transcriptional derepression of CstR-regulated genes. In some bacteria, notably methicillin-resistant Staphylococcus aureus (MRSA), CstR and CsoR, a Cu(I)-sensor, exhibit no regulatory crosstalk in cells, despite maintaining an identical pair of cysteines. We report a sequence similarity network (SSN) analysis of the entire CsoR superfamily, together with the first crystallographic structure of a CstR protein and mass spectrometry-based kinetic profiling experiments to obtain new insights into the molecular basis of RSS specificity in CstRs. The more N-terminal cysteine is the attacking Cys in CstR and is far more nucleophilic than in a CsoR. This cysteine, C30 in SpCstR, is separated from the resolving thiol, C59, by an Asn55 wedge. Chemical reactivity experiments reveal a striking asymmetry of reactivity, preserved in all CstRs and with all oxidants tested; however, the distribution of crosslinked products varies markedly among CstRs. Substitution of N55 with Ala in SpCstR significantly impacts the distribution of species, despite adopting the same structure as the parent repressor. We show that CstRs react with hydrogen peroxide, a finding that contrasts sharply with other structurally distinct persulfide sensors from Gram-negative bacteria. This suggests that other factors may enhance the specificity and repressor activity of CstRs in cells.

biochemistry↗

bioRxiv2020

Structural determinants of persulfide-sensing specificity in a dithiol-based transcriptional regulator

Cysteine thiol-based transcriptional regulators orchestrate coordinated regulation of redox homeostasis and other cellular processes by "sensing" or detecting a specific redox-active molecule, which in turn activates the transcription of a specific detoxification pathway. The extent to which these sensors are truly specific in cells for a singular class of reactive small molecule stressors, e.g., reactive oxygen or sulfur species, is largely unknown. Here we report novel structural and mechanistic insights into a thiol-based transcriptional repressor SqrR, that reacts exclusively with organic and inorganic oxidized sulfur species, e.g., persulfides, to yield a unique tetrasulfide bridge that allosterically inhibits DNA operator-promoter binding. Evaluation of five crystallographic structures of SqrR in various derivatized states, coupled with the results of a mass spectrometry-based kinetic profiling strategy, suggest that persulfide selectivity is determined by structural frustration of the disulfide form. This energetic roadblock effectively decreases the reactivity toward major oxidants to kinetically favor formation of the tetrasulfide product. These findings lead to the identification of an uncharacterized repressor from the increasingly antibiotic-resistant bacterial pathogen, Acinetobacter baumannii, as a persulfide sensor, illustrating the predictive power of this work and potential applications to bacterial infectious disease.

biochemistry↗