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Biology subjects

Rycroft, C. H.

Publications and source records attributed to Rycroft, C. H..

5 recordsLinked to original sources

Mechanical cues of an interpenetrating polysaccharide matrix regulate self-assembly of collagen fibers

Collagen molecules self-assemble into supramolecular fibers within a molecularly crowded, polysaccharide-rich extracellular matrix (ECM). The ECM typically has fluid-like, viscoelastic properties that can be quantified rheologically. Here, we determine that the viscoelasticity of a polysaccharide alginate ECM regulates the assembly of type I collagen fibers. The viscoelasticity and shear moduli of the alginate network were tuned by the polymer weight percentage and degree of cooperative ionic and covalent norbornene-tetrazine crosslinking. Stepwise shear strain applied to covalently-crosslinked hydrogels generated higher stress than in ionic hydrogels. Hydrogels with reduced viscoelasticity also showed a reduction in water permeability. Second-harmonic generation confocal imaging revealed that decreasing viscoelasticity significantly suppressed collagen fiber self-assembly. Simulations demonstrated a mechanical coupling of the hydrogel network and the aggregate size of collagen molecules. Increased covalent crosslinking impaired the rate and magnitude of self-assembly in simulations and experimental results. These results suggest that ECM viscoelasticity plays a role in modulating the assembly and structural organization of collagen within the matrix. More broadly, they provide a framework for understanding how ECM mechanical properties can influence the assembly and organization of fibrillar macromolecules.

bioengineering↗

How microscopic epistasis and clonal interference shape the fitness trajectory in a spin glass model of microbial long-term evolution

The adaptive dynamics of evolving microbial populations takes place on a complex fitness landscape generated by epistatic interactions. The population generically consists of multiple competing strains, a phenomenon known as clonal interference. Microscopic epistasis and clonal interference are central aspects of evolution in microbes, but their combined effects on the functional form of the populations mean fitness are poorly understood. Here, we develop a computational method that resolves the full microscopic complexity of a simulated evolving population subject to a standard serial dilution protocol. Through extensive numerical experimentation, we find that stronger microscopic epistasis gives rise to fitness trajectories with slower growth independent of the number of competing strains, which we quantify with power-law fits and understand mechanistically via a random walk model that neglects dynamical correlations between genes. We show that increasing the level of clonal interference leads to fitness trajectories with faster growth (in functional form) without microscopic epistasis, but leaves the rate of growth invariant when epistasis is sufficiently strong, indicating that the role of clonal interference depends intimately on the underlying fitness landscape. The simulation package for this work may be found at https://github.com/nmboffi/spin_glass_evodyn.

evolutionary biology↗

The cut site specificity of the influenza A virus endoribonuclease PA-X allows it to discriminate between host and viral mRNAs

Widespread shutoff of host gene expression through RNA degradation is an advantageous way for many viruses to block antiviral responses. However, viruses still need to maintain expression of their own genes and host genes necessary for replication. The influenza A virus host shutoff endoribonuclease PA-X solves this problem by sparing viral mRNAs and some host RNAs. To understand how PA-X distinguishes between RNAs, we characterized PA-X cut sites transcriptome-wide. This analysis shows that PA-Xs from multiple influenza strains cleave RNAs at GCUG tetramers in hairpin loops. Importantly, GCUG tetramers are enriched in the human but not the influenza transcriptome. Moreover, optimal PA-X cut sites inserted in the influenza A virus genome are quickly selected against during viral replication. This finding suggests that PA-X evolved these cleavage characteristics to target host but not viral mRNAs, in a manner reminiscent of cellular self vs. non-self discrimination.

microbiology↗

A subcellular biochemical model for T6SS dynamics reveals winning competitive strategies

The Type VI secretion system (T6SS) is a broadly distributed interbacterial weapon that can be used to eliminate competing bacterial populations. Although unarmed target populations are typically used to study T6SS function, bacteria most likely encounter other T6SS-armed competitors in nature. The outcome of such battles is not well understood, neither is the connection between the outcomes with the subcellular details of the T6SS. Here, we incorporated new biological data derived from natural competitors of Vibrio fischeri light organ symbionts to build a biochemical model for T6SS function at the single cell level. The model accounts for activation of structure formation, structure assembly, and deployment. By developing an integrated agent-based model (IABM) that incorporates strain-specific T6SS parameters, we replicated outcomes of biological competitions, validating our approach. We used the IABM to isolate and manipulate strain-specific physiological differences between competitors, in a way that is not possible using biological samples, to identify winning strategies for T6SS-armed populations. We found that a tipping point exists where the cost of building more T6SS weapons outweighs their protective ability. Furthermore, we found that competitions between a T6SS-armed population and a unarmed target had different outcomes dependent on the geometry of the battlefield: target cells survived at the edges of a range expansion scenario where unlimited territory could be claimed, while competitions within a confined space, much like the light organ crypts where natural V. fischeri compete, resulted in the rapid elimination of the unarmed competitor.

microbiology↗

The influenza A virus endoribonuclease PA-X usurps host mRNA processing machinery to limit host gene expression

Many viruses globally shut off host gene expression to inhibit activation of cell-intrinsic antiviral responses. However, host shutoff is not indiscriminate, since viral proteins and host proteins required for viral replication are still synthesized during shutoff. The molecular determinants of target selectivity in host shutoff remain incompletely understood. Here, we report that the influenza A virus shutoff factor PA-X usurps RNA splicing to selectively target host RNAs for destruction. PA-X preferentially degrades spliced mRNAs, both transcriptome-wide and in reporter assays. Moreover, proximity-labeling proteomics revealed that PA-X interacts with cellular proteins involved in RNA splicing. The interaction with splicing contributes to target discrimination and is unique among viral host shutoff nucleases. This novel mechanism sheds light on the specificity of viral control of host gene expression and may provide opportunities for development of new host-targeted antivirals.

microbiology↗