Biology subjects

Srikant, S.

Publications and source records attributed to Srikant, S..

8 recordsLinked to original sources

bioRxiv2023

Driving and suppressing the human language network using large language models

Transformer models such as GPT generate human-like language and are highly predictive of human brain responses to language. Here, using fMRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict the magnitude of brain response associated with each sentence. Then, we use the model to identify new sentences that are predicted to drive or suppress responses in the human language network. We show that these model-selected novel sentences indeed strongly drive and suppress activity of human language areas in new individuals. A systematic analysis of the model-selected sentences reveals that surprisal and well-formedness of linguistic input are key determinants of response strength in the language network. These results establish the ability of neural network models to not only mimic human language but also noninvasively control neural activity in higher-level cortical areas, like the language network.

neuroscience↗

bioRxiv2022

Direct activation of an innate immune system in bacteria by a viral capsid protein

Bacteria have evolved sophisticated and diverse immunity mechanisms to protect themselves against a nearly constant onslaught of bacteriophages1-3. Similar to how eukaryotic innate immune systems sense foreign invaders through pathogen-associated molecular patterns (PAMPs)4, many bacterial immune systems that respond to bacteriophage infection require a phage-specific trigger to be activated. However, the identities of such triggers and the mechanistic basis of sensing remain almost completely unknown. Here, we discover and investigate the anti-phage function of a fused toxin-antitoxin (TA) system called CapRelSJ46 that protects E. coli against diverse phages. Through genetic, biochemical, and structural analysis, we demonstrate that the C-terminal domain of CapRelSJ46 regulates the toxic N-terminal region, serving as both an antitoxin element and a phage-infection sensor. Following infection by certain phages, the newly synthesized major capsid protein binds directly to the C-terminal domain of CapRelSJ46 to relieve autoinhibition, enabling the toxin domain to then pyrophosphorylate tRNAs, which blocks translation to restrict viral infection. Collectively, our results reveal the molecular mechanism by which a bacterial immune system directly senses a conserved, essential component of phages, suggesting a PAMP-like sensing model for TA-mediated innate immunity in bacteria. We provide evidence that CapRels and their phage-encoded triggers are engaged in a Red Queen conflict5, revealing a new front in the intense coevolutionary battle being waged by phage and bacteria. With capsid proteins of some eukaryotic viruses known to stimulate innate immune signaling in mammalian hosts6-10, our results now reveal an ancient, deeply conserved facet of immunity.

microbiology↗

bioRxiv2022

The evolution of a counter-defense mechanism in a virus constrains its host range

Bacteria use diverse immunity mechanisms to defend themselves against their viral predators, bacteriophages. In turn, phages can acquire counter-defense systems, but it remains unclear how such mechanisms arise and what factors constrain viral evolution. Here, we experimentally evolved T4 phage to overcome a phage-defensive toxin-antitoxin system, toxIN, in E. coli. Through recombination, T4 rapidly acquires segmental amplifications of a previously uncharacterized gene, now named tifA, encoding an inhibitor of the toxin, ToxN. These amplifications subsequently drive large deletions elsewhere in T4s genome to maintain a genome size compatible with capsid packaging. The deleted regions include accessory genes that help T4 overcome defense systems in alternative hosts. Thus, our results reveal a trade-off in viral evolution; the emergence of one counter-defense mechanism can lead to loss of other such mechanisms, thereby constraining host range. We propose that the accessory genomes of viruses reflect the integrated evolutionary history of the hosts they infected. HighlightsO_LIExperimentally evolved T4 to overcome E. coli toxIN, a phage-defensive TA system C_LIO_LIDiscovered TifA, a phage-encoded protein inhibitor of ToxN C_LIO_LIAmplification of the tifA locus drives large deletions elsewhere in the T4 genome C_LIO_LIDeleted genes in evolved T4 clones include those necessary to infect alternative hosts C_LI

microbiology↗

bioRxiv2021

Natural transformation protein ComFA exhibits single-stranded DNA translocase activity

Natural transformation is one of the major mechanisms of horizontal gene transfer in bacterial populations and has been demonstrated in numerous species of bacteria. Despite the prevalence of natural transformation, much of the molecular mechanism remains unexplored. One major outstanding question is how the cell powers DNA import, which is rapid and highly processive. ComFA is one of a handful of proteins required for natural transformation in gram-positive bacteria. Its structural resemblance to the DEADbox helicase family has led to a long-held hypothesis that ComFA acts as a motor to help drive DNA import into the cytosol. Here, we explored the helicase and translocase activity of ComFA to address this hypothesis. We followed the DNA-dependent ATPase activity of ComFA and, combined with mathematical modeling, demonstrated that ComFA likely translocates on single-stranded DNA from 5 to 3. However, this translocase activity does not lead to DNA unwinding in the conditions we tested. Further, we analyzed the ATPase cycle of ComFA and found that ATP hydrolysis stimulates the release of DNA, providing a potential mechanism for translocation. These findings help define the molecular contribution of ComFA to natural transformation and support the conclusion that ComFA plays a key role in powering DNA uptake. ImportanceCompetence, or the ability of bacteria to take up and incorporate foreign DNA in a process called natural transformation is common in the bacterial kingdom, but understanding of the mechanism is still limited. Increasing evidence in several bacteria confirms that long, contiguous stretches of DNA are imported into cells, and yet how bacteria power processive transformation remains unclear. Our finding that ComFA, a DExD-box helicase required for competence in gram-positive bacteria, translocates on single-stranded DNA from 5 to 3, supports the long held hypothesis that ComFA may be the motor powering DNA transport during natural transformation. Moreover, ComFA may be a previously unidentified type of DExD-box helicase--one with the capability of extended translocation on single-stranded DNA.

microbiology↗

bioRxiv2021

Beyond the reach of homology: successive computational filters find yeast pheromone genes

The mating of fungi depends on pheromones that mediate communication between two mating types. Most species use short peptides as pheromones, which are either unmodified (e.g., -factor in Saccharomyces cerevisiae) or C-terminally farnesylated (e.g., a-factor in S. cerevisiae). Peptide pheromones have been found by genetics or biochemistry in small number of fungi, but their short sequences and modest conservation make it impossible to detect homologous sequences in most species. To overcome this problem, we used a four-step computational pipeline to identify candidate a-factor genes in sequenced genomes of the Saccharomycotina, the fungal clade that contains most of the yeasts: we require that candidate genes have a C-terminal prenylation motif, are fewer than 100 amino acids long, contain a proteolytic processing motif upstream of the potential mature pheromone sequence, and that closely related species contain highly conserved homologs of the potential mature pheromone sequence. Additional manual curation exploits the observation that many species carry more than one a-factor gene, encoding identical or nearly identical pheromones. From 332 fungal genomes, we identified strong candidate pheromone genes in 238 genomes, covering 13 clades that are separated from each other by at least 100 million years, the time required for evolution to remove detectable sequence homology. For one small clade, the Yarrowia, we demonstrated that our algorithm found the a-factor genes: deleting all four related genes in the a-mating type of Yarrowia lipolytica prevents mating.

bioinformatics↗

bioRxiv2021

The DarTG toxin-antitoxin system provides phage defense by ADP-ribosylating viral DNA

Toxin-antitoxin (TA) systems are broadly distributed, yet poorly conserved, genetic elements whose biological functions are unclear and controversial. Some TA systems may provide bacteria with immunity to infection by their ubiquitous viral predators, the bacteriophage. To identify TA systems that protect E. coli MG1655 against phage, we searched for those frequently encoded near known phage defense genes in bacterial genomes. Two of the systems tested provide strong protection against phage infection and are homologs of DarTG, a recently discovered family of TA systems whose biological functions and natural activating conditions were unclear. We demonstrate that phage infection triggers the release of DarT toxin, a DNA ADP-ribosyltransferase, to modify viral DNA and prevent replication, thereby blocking the production of mature virions. Phages can evolve to overcome DarTG defense either through mutations to their DNA polymerase or to an anti-DarT factor, gp61.2, encoded by many T-even phages. Collectively, our results indicate that phage defense may be a common function for TA systems and reveal the mechanism by which DarTG systems inhibit phage infection.

microbiology↗

bioRxiv2020

Comprehension of computer code relies primarily on domain-general executive resources

Computer programming is a novel cognitive tool that has transformed modern society. What cognitive and neural mechanisms support this skill? Here, we used fMRI to investigate two candidate brain systems: the multiple demand (MD) system, typically recruited during math, logic, problem solving, and executive tasks, and the language system, typically recruited during linguistic processing. We examined MD and language system responses to code written in Python, a text-based programming language (Experiment 1) and in ScratchJr, a graphical programming language (Experiment 2); for both, we contrasted responses to code problems with responses to content-matched sentence problems. We found that the MD system exhibited strong bilateral responses to code in both experiments, whereas the language system responded strongly to sentence problems, but weakly or not at all to code problems. Thus, the MD system supports the use of novel cognitive tools even when the input is structurally similar to natural language.

neuroscience↗

bioRxiv2019

Selecting for altered substrate specificity reveals the evolutionary flexibility of ATP-binding cassette transporters

ABC transporters are the largest family of ATP-hydrolyzing transporters, with members in every sequenced genome, which transport substrates across membranes. Structural studies and biochemistry highlight the contrast between the global structural similarity of homologous transporters and the enormous diversity of their substrates. How do ABC transporters evolve to carry such diverse molecules and what variations in their amino acid sequence alter their substrate selectivity? We mutagenized the transmembrane domains of a conserved fungal ABC transporter that exports a mating pheromone and selected for mutants that export a non-cognate pheromone. Mutations that alter export selectivity cover a region that is larger than expected for a localized substrate-binding site. Individual selected clones have multiple mutations which have broadly additive contributions to specific transport activity. Our results suggest that multiple positions influence substrate selectivity, leading to alternative evolutionary paths towards selectivity for particular substrates, and explaining the number and diversity of ABC transporters.

evolutionary biology↗