Biology subjects

da Silva, G. M.

Publications and source records attributed to da Silva, G. M..

4 recordsLinked to original sources

bioRxiv2025

Mdm38/LETM1 couples ion homeostasis and proteostatic mechanisms in the inner mitochondrial membrane

The mitochondrial inner membrane is among the most protein-dense cellular membranes. Its functional integrity is maintained through a concerted action of several conserved mechanisms that are far from clear. Here, using the bakers yeast model, we functionally characterize Mdm38/LETM1, a disease-related protein implicated in mitochondrial translation and ion homeostasis, although the molecular basis of these connections remains elusive. Our findings reveal a novel role for Mdm38 in maintaining protein homeostasis within the inner membrane. Specifically, we demonstrate that Mdm38 is required for mitochondrial iron homeostasis and for signaling iron bioavailability from mitochondria to vacuoles. These processes are linked to the m- AAA quality control protease, whose unrestrained activity disrupts the assembly and stability of respiratory chain complexes in Mdm38-deficient cells. Our study highlights the central role of Mdm38 in mitochondrial biology and reveals how it couples proteostatic mechanisms to ion homeostasis across subcellular compartments.

biochemistry↗

bioRxiv2024

Mobility of Four Structural Regions Drives Isoform-Specific Properties of Plant LPOR

Light-dependent protochlorophyllide oxidoreductase (LPOR) is a photocatalytic enzyme in the chlorophyll (Chl) biosynthetic pathway that underwent duplications in angiosperms, resulting in the emergence of multiple isoforms across various plant species. The physiological roles of these LPOR homologs remained unclear, so we selected six plant species with different number of isoforms of the enzyme and characterized their properties in vitro. Our findings revealed that these isoforms vary in their affinity for the reaction product, chlorophyllide (Chlide), as well as for NADPH under lipid-free conditions and in reaction mixtures supplemented with plant lipids. Additionally, we observed differences in their oligomerization behavior. Our experimental approach generated a dataset comprising several hundred pairs of spectra, recorded before and after reaction-triggering illumination. This data was used to analyze the correlation between fluorescence emission maxima before and after photoconversion. The analysis showed that some isoforms rapidly release Chlide after the reaction, while others retain the pigment in the binding pocket, especially at high NADPH concentrations. These results suggest that LPOR isoforms differ in their rates of Chlide release and complex disassembly, potentially influencing the overall rate of the Chl biosynthetic pathway, even in mature leaves. We further analyzed the flexibility of these isoforms using AlphaFold2 predictions, identifying four regions of the enzyme that are particularly mobile. Two of these regions are involved in pigment binding, while the other two play a role in oligomerization. Based on these findings, we propose a model of conformational changes that drive the formation of LPOR oligomers.

biochemistry↗

bioRxiv2021

A Topological Data Analytic Approach for Discovering Biophysical Signatures in Protein Dynamics

Identifying structural differences among proteins can be a non-trivial task. When contrasting ensembles of protein structures obtained from molecular dynamics simulations, biologically-relevant features can be easily overshadowed by spurious fluctuations. Here, we present SINATRA Pro, a computational pipeline designed to robustly identify topological differences between two sets of protein structures. Algorithmically, SINATRA Pro works by first taking in the 3D atomic coordinates for each protein snapshot and summarizing them according to their underlying topology. Statistically significant topological features are then projected back onto a user-selected representative protein structure, thus facilitating the visual identification of biophysical signatures of different protein ensembles. We assess the ability of SINATRA Pro to detect minute conformational changes in five independent protein systems of varying complexities. In all test cases, SINATRA Pro identifies known structural features that have been validated by previous experimental and computational studies, as well as novel features that are also likely to be biologically-relevant according to the literature. These results highlight SINATRA Pro as a promising method for facilitating the non-trivial task of pattern recognition in trajectories resulting from molecular dynamics simulations, with substantially increased resolution. Author SummaryStructural features of proteins often serve as signatures of their biological function and molecular binding activity. Elucidating these structural features is essential for a full understanding of underlying biophysical mechanisms. While there are existing methods aimed at identifying structural differences between protein variants, such methods do not have the capability to jointly infer both geometric and dynamic changes, simultaneously. In this paper, we propose SINATRA Pro, a computational framework for extracting key structural features between two sets of proteins. SINATRA Pro robustly outperforms standard techniques in pinpointing the physical locations of both static and dynamic signatures across various types of protein ensembles, and it does so with improved resolution.

biophysics↗

bioRxiv2019

Show me your secret(ed) weapons: a multifaceted approach reveals novel type III-secreted effectors of a plant pathogenic bacterium

Many Gram-negative plant and animal pathogenic bacteria employ a type III secretion system (T3SS) to secrete protein effectors into the cells of their hosts and promote disease. The plant pathogen Acidovorax citrulli requires a functional T3SS for pathogenicity. As with Xanthomonas and Ralstonia spp., an AraC-type transcriptional regulator, HrpX, regulates expression of genes encoding T3SS components and type III-secreted effectors (T3Es) in A. citrulli. A previous study reported eleven T3E genes in this pathogen, based on the annotation of a sequenced strain. We hypothesized that this was an underestimation. Guided by this hypothesis, we aimed at uncovering the T3E arsenal of the A. citrulli model strain, M6. We carried out a thorough sequence analysis searching for similarity to known T3Es from other bacteria. This analysis revealed 51 A. citrulli genes whose products are similar to known T3Es. Further, we combined machine learning and transcriptomics to identify novel T3Es. The machine learning approach ranked all A. citrulli M6 genes according to their propensity to encode T3Es. RNA-Seq revealed differential gene expression between wild-type M6 and a mutant defective in HrpX. Data combined from these approaches led to the identification of seven novel T3E candidates, that were further validated using a T3SS-dependent translocation assay. These T3E genes encode hypothetical proteins, do not show any similarity to known effectors from other bacteria, and seem to be restricted to plant pathogenic Acidovorax species. Transient expression in Nicotiana benthamiana revealed that two of these T3Es localize to the cell nucleus and one interacts with the endoplasmic reticulum. This study not only uncovered the arsenal of T3Es of an important pathogen, but it also places A. citrulli among the \"richest\" bacterial pathogens in terms of T3E cargo. It also revealed novel T3Es that appear to be involved in the pathoadaptive evolution of plant pathogenic Acidovorax species.\n\nAuthor summaryAcidovorax citrulli is a Gram-negative bacterium that causes bacterial fruit blotch (BFB) disease of cucurbits. This disease represents a serious threat to cucurbit crop production worldwide. Despite the agricultural importance of BFB, the knowledge about basic aspects of A. citrulli-plant interactions is rather limited. As many Gram-negative plant and animal pathogenic bacteria, A. citrulli employs a complex secretion system, named type III secretion system, to deliver protein virulence effectors into the host cells. In this work we aimed at uncovering the arsenal of type III-secreted effectors (T3Es) of this pathogen by combination of bioinformatics and experimental approaches. We found that this bacterium possesses at least 51 genes that are similar to T3E genes from other pathogenic bacteria. In addition, our study revealed seven novel T3Es that seem to occur only in A. citrulli strains and in other plant pathogenic Acidovorax species. We found that two of these T3Es localize to the plant cell nucleus while one partially interacts with the endoplasmic reticulum. Further characterization of the novel T3Es identified in this study may uncover new host targets of pathogen effectors and new mechanisms by which pathogenic bacteria manipulate their hosts.

microbiology↗