Biology subjects

Thattai, M.

Publications and source records attributed to Thattai, M..

10 recordsLinked to original sources

bioRxiv2026

Punctuated Evolution of Endomembrane Compartments in Proto-Eukaryotes

Eukaryotic cells are defined by their endomembranes: compartments such as the endoplasmic reticulum (ER), Golgi and endosomes, exchanging cargo via vesicles. The evolutionary origins of endomembrane compartments remain unclear. Here we construct molecular-evolutionary trajectories for the stepwise addition of compartments after the emergence of the proto-ER in an ancestral eukaryote. We represent compartments and vesicles as nodes and edges of a directed graph. Vesicle budding and fusion regulators such as coats and SNAREs control cargo flows and determine compartment compositions. We computationally sample billions of possible graphs, and enumerate how duplication, deletion and mutation of regulators drive graph transitions. We find that evolutionary trajectories display punctuated shifts in compartment composition and number, interspersed with thousands of neutral mutations. The first added compartment inherits functions from the proto-ER or plasma membrane, or gains novel functions. Our results show how, given a billion years, simple molecular steps can generate complex endomembrane systems. SO_SCPLOWIGNIFICANCEC_SCPLOW SO_SCPLOWTATEMENTC_SCPLOWEukaryotic cells contain a system of endomembrane compartments that sort, process and deliver molecules to precise cellular destinations. This endomembrane system is a defining feature of all complex life, yet its evolutionary origins remain obscure. How did a proto-eukaryote with a single ancestral endomembrane compartment evolve into a cell with a Golgi, endosomes, lysosomes and other compartments characteristic of modern eukaryotes? We model this process from first principles, connecting the duplication, deletion and mutation of molecular regulators to compartment gain or loss. We find a punctuated pattern of endomembrane elaboration: a long phase of neutral exploration, driven by the mutation of duplicate gene copies, precedes the emergence of new compartments and functions.

evolutionary biology↗

bioRxiv2025

Pareto-optimal synthesis of multiple glycans in Golgi compartments

Tree-shaped sugar chains called glycans are covalently attached to proteins in the plasma membrane of eukaryotic cells. They engage in multiple functions such as adhesion, signaling, etc. at the cell surface, so their correct manufacture is of vital importance. Glycans are assembled step by step through enzyme-catalyzed monomer addition reactions as they transit through compartments of the Golgi apparatus. The constraint of fixed residence times across Golgi compartments creates tradeoffs: a short residence time does not give complex glycans enough time for reactions to run to completion, while a long residence time might execute undesirable reactions, which inevitably occur due to enzyme promiscuity. It is not clear how the Golgi reconciles this trade-off. To study this, we devise a from-first-principles model of glycan manufacture with a focus on maximizing glycan yield. Pareto-optimal solutions are a class of solutions that reconcile trade-offs in simultaneously maximizing the yield of multiple glycans. We explore Pareto-optimal solutions for multiple glycan manufacture, and show that small changes in residence times or relative glycan yields can change the optimal enzyme distribution. Together, these results establish Pareto optimality as a unifying framework for interpreting Golgi compartment organization, and for controlling glycan outputs in industrial settings such as manufacture of biotherapeutics, many of which are glycosylated.

systems biology↗

bioRxiv2024

Cell-surface glycans are quantitative reporters of Golgi dysfunction in single cells

Complex sugar polymers known as glycans contribute to the high molecular diversity of the eukaryotic cell surface. The types and levels of glycans on one cell can be sensed by other cells using carbohydrate-specific binding proteins such as lectins, enabling glycans to regulate cell-cell interactions. Glycans are covalently assembled onto proteins and lipids as they traverse the secretory pathway, a tightly regulated process known as glycosylation and carried out by Golgi-resident enzymes. Errors in glycosylation due to the dysfunctional trafficking of enzymes and substrates in the Golgi are implicated in human diseases. Here we ask how much information about Golgi dysfunction is encoded by surface glycans in single cells. This task is challenging due to high cell-to-cell variability in glycan levels. We exploited the loss-of-adhesion driven disorganization of the Golgi in mouse fibroblasts to generate a highly reproducible gradient of Golgi morphology phenotypes, by titrating the Arf1 inhibitor Brefeldin A (BFA). We measured the resulting distribution of cell-surface glycans in single cells using two fluorescently tagged lectin probes (ConA and WGA). A mathematical model of intracellular traffic, parameterized against measurements of Golgi fragmentation and endocytosis, quantitatively explains cell-surface lectin levels across time and BFA concentrations. We used this model to construct an optimal Bayesian decoder and showed that singlecell lectin measurements predict Golgi phenotypes with accuracy far greater than chance. By combining signals from two lectins we further improved prediction accuracy and speed. Such multi-lectin information may be exploited during natural cell-cell communication, and in the development of single-cell diagnostics.

cell biology↗

bioRxiv2024

Coexistence of self-compatible and self-incompatible alleles in a plant metapopulation via spatial rock-paper-scissors dynamics

Around 40% of flowering plants exhibit a preference for self-incompatibility systems (SI) on a macro-evolutionary scale. The dynamics of SI and self-compatible systems (SC) alleles can lead to the fixation of one genotype or coexistence, depending on factors like inbreeding depression and initial fractions. For the first time, we explore the dynamics of self-incompatible (SI) and self-compatible (SC) alleles in the presence of competitors, studying the relationship between population structure and SI frequency. Our numerical simulations consider non-instantaneous coupling between patches, focusing on a regime where the competitors fitness falls between inbred and outbred fitness. In this regime, SI, SC, and competitors exhibit repeating cycles of rock-paper-scissors dynamics both spatially and temporally. We find well-mixed environment leads to lower fractional population density of the focal species. Additionally in this regime, a paradoxical result emerges: in stress-free regions favorable to SI, the focal species may lose to the competitor.

ecology↗

bioRxiv2021

Paralogous gene modules derived from ancient hybridization drive vesicle traffic evolution in yeast

Modules of interacting proteins regulate vesicle budding and fusion in eukaryotes. Distinct paralogous copies of these modules act at distinct sub-cellular locations. The processes by which such large gene modules are duplicated and retained remain unclear. Here we show that interspecies hybridization is a potent source of paralogous gene modules. We study the dynamics of paralog doublets derived from the 100-million-year-old hybridization event that gave rise to the whole genome duplication clade of budding yeast. We show that paralog doublets encoding vesicle traffic proteins are convergently retained across species. Vesicle coats and adaptors involved in secretory and early-endocytic pathways are retained as doublets, while tethers and other machinery involved in intra-Golgi traffic and later endocytic steps are reduced to singletons. These patterns reveal common selective pressures that have sculpted traffic pathways in diverse yeast species. They suggest that hybridization may have played a pivotal role in the expansion of the endomembrane system.

evolutionary biology↗

bioRxiv2020

In vivo multi-dimensional information-keeping in Halobacterium salinarum

Shortage of raw materials needed to manufacture components for silicon-based digital memory storage has led to a search for alternatives, including systems for storing texts, images, movies and other forms of information in DNA. Use of DNA as a medium for storage of 3-D information has also been investigated. However, two problems have yet to be addressed: first, storage of 3-D information in DNA has used objects and coding schemes which require large volumes of data; second, the medium used for DNA information-keeping has been inconsistent with qualities needed for long-term data storage. Here, we address these problems. First, we created in vivo DNA-encoded digital archives holding precise specifications for 3- and 4-dimensional figures with unprecedented efficiency. Second, we have demonstrated more robust and longer-lasting information-carriers than earlier repositories for DNA-based data archives by inserting digital information into the halophile, Halobacterium salinarum, an extremophilic archaeon. We then embedded Information-keeping halophiles into crystalline mineral salts in which similar organisms have been shown to persist in stasis for hundreds of millions of years. We propose that digital information archives composed in 3 or more dimensions may be inserted into halophilic organisms and preserved intact for indefinite periods of time.

synthetic biology↗

bioRxiv2019

Frustration and Fidelity in Influenza Genome Assembly

The genome of the influenza virus consists of eight distinct single-stranded RNA segments, each encoding proteins essential for the viral life cycle. When the virus infects a host cell these segments must be replicated and packaged into new budding virions. The viral genome is assembled with remarkably high fidelity: experiments reveal that most virions contain precisely one copy of each of the eight RNA segments. Cell-biological studies suggest that genome assembly is mediated by specific reversible and irreversible interactions between the RNA segments and their associated proteins. However, the precise inter-segment interaction network remains unresolved. Here we computationally predict that tree-like irreversible interaction networks guarantee high-fidelity genome assembly, while cyclic interaction networks lead to futile or frustrated off-pathway products. We test our prediction against multiple experimental datasets. We find that tree-like networks capture the nearest-neighbor statistics of RNA segments in packaged virions, as observed by EM tomography. Just eight tree-like networks (of a possible 262,144) optimally capture both the nearest-neighbor data as well as independently measured RNA-RNA contact propensities. These eight do not include the previously-proposed hub-and-spoke and linear networks. Rather, each predicted network combines hub-like and linear features, consistent with evolutionary models of interaction gain and loss.

biophysics↗

bioRxiv2018

Algorithmic biosynthesis of eukaryotic glycans

An algorithm converts inputs to corresponding unique outputs through a sequence of actions. Algorithms are used as metaphors for complex biological processes such as organismal development. Here we make this metaphor rigorous for glycan biosynthesis. Glycans are branched sugar oligomers that are attached to cell-surface proteins and convey cellular identity. Eukaryotic O-glycans are synthesized by collections of enzymes in Golgi compartments. A compartment can stochastically convert a single input oligomer to a heterogeneous set of possible output oligomers; yet a given type of protein is invariably associated with a narrow and reproducible glycan oligomer profile. Here we resolve this paradox by borrowing from the theory of algorithmic self-assembly. We rigorously enumerate the sources of glycan microheterogeneity: incomplete oligomers via early exit from the reaction compartment; tandem repeat oligomers via runaway reactions; and competing oligomer fates via divergent reactions. We demonstrate how to diagnose and eliminate each of these, thereby obtaining \"algorithmic compartments\" that convert inputs to corresponding unique outputs. Given an input and a target output we either prove that the output cannot be algorithmically synthesized from the input, or explicitly construct an ordered series of algorithmic compartments that achieves this synthesis. Our theoretical analysis allows us to infer the causes of non-algorithmic microheterogeneity and species-specific diversity in real glycan datasets.

systems biology↗

bioRxiv2017

Small GTPases and BAR domain proteins regulate branched actin to make clathrin and dynamin independent endocytic vesicles

Numerous endocytic pathways operate simultaneously at the cell surface. Here we focus on the molecular machinery involved in the generation of endocytic vesicles of the clathrin and dynamin-independent CLIC/GEEC (CG) pathway. This pathway internalises many GPI-anchored proteins and a large fraction of the fluid-phase in different cell types. We developed a real-time TIRF assay using pH-sensitive GFP-GPI to identify nascent CG endocytic sites. The temporal profile of known CG pathway modulators showed that ARF1/GBF1 (GTPase/GEF pair) and CDC42 (RhoGTPase) are recruited sequentially to CG endocytic sites, [~]60s and [~]9s prior to scission. Using a limited RNAi screen, we found several BAR domain proteins affecting CG endocytosis and focused on IRSp53 and PICK1 that have interactions with CDC42 and ARF1 respectively. IRSp53, an I-BAR domain containing protein, was recruited to the plasma membrane at the site of forming CG endocytic vesicles and in its absence, nascent endocytic CLICs, did not form. The requirement for actin polymerization in the CG pathway suggested a role for nucleators of actin polymerization, and ARP2/3 was found enriched at the site of the forming endocytic vesicle. PICK1, a BAR domain containing protein and the ARP2/3 inhibitor is recruited at an early stage along with ARP2/3, but is removed from the endocytic site coincident with CDC42 recruitment and a burst of Factin polymerization. This study provides a spatio-temporal understanding of the molecular machinery necessary to build a CG endocytic vesicle.

cell biology↗

bioRxiv2017

Molecular Noise Accelerates Cell Division And Death Under Antibiotic Treatment

It is well known that microbial cell populations can exhibit sustained exponential growth. More surprising is the fact that at high antibiotic levels, cell populations exhibit sustained exponential decay over several orders of magnitude. The boundary between growth and decay occurs at the Minimal Inhibitory Concentration (MIC) of the antibiotic, where the density of living cells remains constant over time. These observations suggest that positive (growth) or negative (decay) exponents arise as a difference of cell division and death rates obeying first-order kinetics. Thus for antibiotic concentrations below MIC, division dominates; for concentrations above MIC, death dominates; while MIC itself is a dynamic steady state of balanced division and death, rather than cell stasis. To measure these rates we separately tracked living and dead cells in Escherichia coli populations treated with the ribosome-targeting antibiotic kanamycin. We found that cells divide rapidly even at MIC: inferred division and death rates at MIC are 0.6 times the antibiotic-free division rate. A stochastic model of cells as collections of self-replicating units we term \"widgets\" reproduces both steady-state and transient features of our experiments, and explains first-order exponential kinetics. In this model cell division and death rates at MIC can be tuned from low to high values by amplifying molecular noise in the synthesis, degradation and partitioning of the widgets. At extremely low noise, cells approach the classic bacteriostatic limit at MIC: neither dividing nor dying. Noise-induced division and death of cells following antibiotic treatment could increase the likelihood of sepsis and antibiotic resistance.

microbiology↗