Biology subjects

Pilpel, Y.

Publications and source records attributed to Pilpel, Y..

13 recordsLinked to original sources

bioRxiv2026

Evolution of a genome-architecture-encoded gene regulation system in trypanosomatids

Transcriptional regulation of protein-coding genes is a hallmark of eukaryotic gene expression. Yet, a group of parasitic protists, trypanosomatids, appear to lack this capability. Here, we analyzed genomic, nascent transcriptomic, RNA polymerase occupancy and gene organization data to reconstruct the evolutionary origin and biological consequences of their unusual regulatory strategy. Across 59 Discoba protists, we show stepwise evolutionary erosion of conventional transcription regulation components in trypanosomatida lineage, including gene consolidation into polycistronic transcription units (PTUs), shortening of intra-PTU non-coding regions, and depletion of transcription factors and their enriched DNA-binding motifs. This transition was associated with near-constitutive expression of most genes, indicating broad loss of conditional gene expression. However, trypanosomatids retain some differential regulation at the PTU level, with >70% PTUs featuring significantly different nascent transcription than their neighbors or resident chromosomes. Moreover, gene expression is not uniform within PTUs: nascent transcription, translation efficiency, and protein abundance progressively decline with distance from the transcription start site. Consistent with this architecture-encoded regulatory logic, co-complex subunits and co-pathway enzymes preferentially occupy adjacent positions within PTUs despite each PTUs overall functional heterogeneity. These findings reveal an evolutionary shift from gene-specific transcriptional regulation toward a regime where genome architecture becomes a regulator of gene expression.

evolutionary biology↗

bioRxiv2026

An information content principle explains regulatory patterns of gene expression across human tissues

Gene expression patterns range from broadly expressed housekeeping genes to highly tissue-specific ones. Notably, many genes exhibit intermediate specificity, characterized by elevated expression in some tissues while low or absent in others. Understanding how regulatory demands scale with tissue specificity offers a valuable opportunity to uncover fundamental principles of genome regulation. By analyzing cis-regulatory element (CRE) counts across human genes with varying tissue specificity, we observed a nonlinear pattern: genes with intermediate specificity harbor the highest CRE count, suggesting distinct regulatory strategies across the expression spectrum. Motivated by this observation, we used the Minimum Description Length (MDL) principle from information theory, together with a maximum parsimony approach from phylogenetics, to quantify regulatory demands across tissues. Our analysis revealed that MDL-based regulatory demand scales consistently with diverse regulatory features, including CRE count, transcription-factor and microRNA targeting, and gene structure. To test whether this scaling changes across the expression spectrum, we partitioned genes by expression breadth. Two patterns emerged: features scaling with MDL in selectively expressed genes tend to act as on/off switches, whereas those in ubiquitous genes serve as fine-tuning knobs. Evolutionary analysis revealed that these regulatory patterns vary with gene age, with alignment between MDL and CRE counts peaking in intermediate-aged genes. Collectively, these results establish MDL combined with maximum parsimony as a powerful framework linking regulatory architecture, expression specificity, and evolutionary age, offering novel insights into the organizational principles underlying genome regulation.

genomics↗

bioRxiv2025

Bacterial strains in the human gut associate with host physiology

The human microbiota influences host physiology, yet much of its complexity lies beneath the species level. Here, we analyzed the intra-species genetic diversity of 936 gut bacteria across 24,997 individuals from three countries. Our findings show that highly abundant species exhibit greater strain stability, whereas low-abundance species display increased in-clonal mutations. Clonal strains are often mutually exclusive, while genetically variable strains tend to coexist. Strain turnover is associated with the presence of annotated chemotaxis and sporulation genes in reference genomes, whereas strain coexistence is associated with quorum sensing and secretion systems. Leveraging deep phenotypic data, we constructed an atlas detailing strain-level associations with diverse host physiological domains. For example, Phocaeicola vulgatus sub-types relate to host obesity, Lachnospira eligens to sleep, and Parabacteroides distasonis to iron hemostasis. This resource may guide personalized microbiome-based interventions to improve human health.

microbiology↗

bioRxiv2024

Essentiality and dynamic expression of the human tRNA pool during viral infection

Human viruses depend on the translation resources of the host cell. A significant translation resource is the tRNA pool of the cell, as human viruses do not encode tRNA genes. Through tRNA sequencing, we inspected the human tRNA pool upon infection of human Cytomegalovirus (HCMV) and SARS-CoV-2. HCMV-induced alterations in tRNA expression were predominantly virus-driven, with minimal influence from the cellular immune response. Notably, specific tRNA post-transcriptional modifications appeared to modulate stability and were susceptible to HCMV manipulation. In contrast, SARS-CoV-2 infection did not significantly impact tRNA expression or modifications. We compared the codon usage of viral genes to the proliferation-differentiation codon-usage signatures of human genes. We found a marked difference between the viruses, with HCMV genes aligning with differentiation codon usage and SARS-CoV-2 genes reflecting proliferation codon usage. We further found that codon usage of structural and gene expression-related viral genes displayed high adaptation to host cell tRNA pools. Through a systematic CRISPR screen targeting human tRNA genes and modification enzymes, we identified specific tRNAs and enzymes that improve or reduce HCMV infectivity and cellular growth. These findings highlight the dynamic interplay between the tRNA pool and viral infection dynamics, shedding light on mechanisms governing host-virus interactions.

genomics↗

bioRxiv2024

Pangenomes of Human Gut Microbiota Uncover Links Between Genetic Diversity and Stress Response

The human gut microbiota has been the subject of many studies, establishing its central role in host health and disease. Interplay between mutations, horizontal gene transfer, natural selection, and genetic drift, lead to genetic diversity within these species, resulting in different phenotypes and effects on the host. Pangenome represents the collective gene pool of different strains of the same species. Here, we created pangenomes for 728 human gut prokaryotic species, holding four times more genes than the highest quality individual genome, showcasing the genetic diversity inherent in the human gut population. We find these species have a core set of about a thousand genes that defines them, distinct even between closely related species, and an accessory set of genes that are unique to the different strains. Furthermore, we show a spectrum of microbial behavior, while some species exhibit a saturated or "closed" pangenome, suggesting a limited set of genetic capabilities, others maintain an "open" pangenome, indicating elevated adaptability through genetic diversity. We discover that high strain variability is associated with the capacity of species to undergo sporulation, whereas low strain variability is associated with carrying genes that facilitate antibiotic resistances, suggesting different evolutionary strategies for survival taken by these microbes. We further map the landscape of antibiotic resistance genes across the human gut population, and find 237 cases of extreme resistance, predominantly of Enterobacteriaceae species, even to last resort antibiotics kept for cases where traditional treatments have failed. Lastly, we associate microbial strain level differences with human age and sex, exemplifying how the presence of specific genes in Akkermansia muciniphila and Phocaeicola vulgatus relate to host characteristics. Overall, our research provides a comprehensive overview of the evolution, genetic complexity and functional potential of the human gut microbiota, emphasizing its significant implications for human health and disease. The pangenomes and the antibiotic resistances map constitute a valuable resource for further scientific research and therapeutic advancements.

microbiology↗

bioRxiv2023

Phenotype switching of the mutation rate facilitates adaptive evolution

The mutation rate plays an important role in adaptive evolution. It can be modified by mutator and anti-mutator alleles. Recent empirical evidence hints that the mutation rate may vary among genetically identical individuals: empirical evidence from bacteria suggests that the mutation rate can be affected by translation errors and expression noise in various proteins. Importantly, this non-genetic variation may be heritable via a transgenerational epigenetic mode of inheritance, giving rise to a mutator phenotype that is independent from mutator alleles. Here we investigate mathematically how the rate of adaptive evolution is affected by the rate of mutation rate phenotype switching. We model an asexual population with two mutation rate phenotypes, non-mutator and mutator. An offspring may switch from its parental phenotype to the other phenotype. We find that switching rates that correspond to so-far empirically described non-genetic systems of inheritance of the mutation rate lead to higher rates of adaptation on various fitness landscapes. These switching rates can maintain within the same individuals both a mutator phenotype and pre-existing mutations, a combination that facilitates adaptation. Moreover, non-genetic inheritance increases the proportion of mutators in the population, which in turn increases the probability of hitchhiking of the mutator phenotype with adaptive mutations. This in turns facilitates the acquisition of additional adaptive mutations. Our results rationalize recently observed noise in the expression of proteins that affect the mutation rate and suggest that non-genetic inheritance of this phenotype may facilitate evolutionary adaptive processes.

evolutionary biology↗

bioRxiv2020

Sequence determinants and evolution of splicing in budding yeast and related species

RNA splicing is a key process in eukaryotic gene expression. Most Intron-containing genes are constitutively spliced, hence efficient splicing of an intron is crucial for efficient gene expression. Here we use a large synthetic oligo library of ~20,000 variants to explore how different intronic sequence features affect splicing efficiency and mRNA expression levels in S. cerevisiae. Using a combinatorial design of synthetic introns we demonstrate how non-consensus splice site sequences affect splicing efficiency in each of the three splice sites. We then show that S. cerevisiae splicing machinery tends to select alternative 3 splice sites downstream of the original site, and we suggest that this tendency created a selective pressure, leading to the avoidance of cryptic splice site motifs near introns 3 ends. We further use natural intronic sequences from other yeast species, whose splicing machineries have diverged to various extents, to show how intron architectures in the various species have been adapted to the organisms splicing machinery. We suggest that the observed tendency for cryptic splicing is a result of a loss of a specific splicing factor, U2AF1. Lastly, we show that synthetic sequences containing two introns give rise to alternative RNA isoforms in S. cerevisiae, exposing intronic features that control and facilitate alternative splicing. Our study reveals novel mechanisms by which introns are shaped in evolution to allow cells to regulate their transcriptome.

systems biology↗

bioRxiv2018

Extensive programmed ribosomal frameshifting in human as revealed by a massively parallel reporter assay

Programmed ribosomal frameshifting is the controlled slippage of the translating ribosome to an alternative frame. This tightly regulated process is widely employed by human viruses such as HIV and SARS coronavirus and is critical for their life cycle and virulence. It is also utilized from yeast to human to implement a feedback control mechanism to regulate polyamine levels. Here, we developed a high-throughput, fluorescence-based approach to assess the frameshifting potential of a sequence. We designed and tested >12,000 sequences based on 15 viral and human frameshifting events, allowing us to elucidate the rules governing ribosomal frameshifting in a systematic way and to discover novel regulatory inputs based on amino acid properties and tRNA availability. We assessed the natural variation in HIV gag-pol frameshifting rates by testing >500 clinical isolates and identified subtype-specific differences as well as associations between viral load in patients and the optimality of gag-pol frameshifting rates. We further devised computational models that accurately predict frameshifting potential (up to auROC=0.93) and frameshifting rates (up to Pearson r=0.81) of novel variants, including subtle differences between HIV clinical isolates (r=0.60). Taken together, this systematic approach can contribute to the development of antiviral agents acting on programmed ribosomal frameshifting.

genomics↗

bioRxiv2018

Dissecting splicing decisions and cell-to-cell variability with designed sequence libraries

Most human genes are alternatively spliced, allowing for a large expansion of the proteome.The multitude of regulatory inputs to splicing limits the potential to infer general principles from investigating native sequences. Here, we created a rationally designed library of >32,000 splicing events to dissect the complexity of splicing regulation through systematicsequence alterations. Measuring RNA and protein splice isoforms allowed us to investigate bothcause and effect of splicing decisions, quantify diverse regulatory inputs and accurately predict (R2=0.75-0.85) isoform ratios from sequence and secondary structure. By profiling individual cells, we measure the cell-to-cell variability of splicing decisions and show that it can be encoded in the DNA and influenced by regulatory inputs, opening the door for a novel,single-cell perspective on splicing regulation.

genomics↗

bioRxiv2018

Identification of a secretion-enhancing cis regulatory targeting element (SECReTE) involved in mRNA localization and protein synthesis

Earlier dogma states that mRNAs encoding secreted and membrane protein (mSMPs) reach the ER in a translation-dependent manner through the signal recognition particle (SRP) pathway. In this pathway, the signal sequence of the translation product is recognized by SRP and the mRNA-ribosome-nascent-chain-SRP complex is recruited to the ER via the interaction with an endoplasmic reticulum (ER)-localized SRP receptor. This model suggests that the translation product dictates the delivery of mRNAs to the ER and that the mRNA is a passive passenger. However, new evidence challenges this model and implies the existence of both translation - and SRP-independent mRNA localization to the ER, raising the possibility that mRNAs have an active role in determining their localization to the ER.\n\nBesides serving as a template for protein translation, mRNAs carry information required for other regulatory processes such as mRNA processing, translation and transcription efficiency, degradation and localization. In yeast, mRNA localization governed by cis-acting sequence elements has been characterized for asymmetrically (e.g. bud) localized mRNAs that localize to, and are transported with, cortical ER. Now, we identify a cis motif in mSMPs that targets mRNAs mainly to the nuclear ER in yeast and increases both protein synthesis and secretion. Termed SECReTE, for secretion-enhancing cis regulatory targeting element, this motif was identified by computational analysis of genes encoding secretome proteins. SECReTE consists of [≥]10 repetitive triplets enriched with pyrimidines (i.e. Cs and Us) every third base (i.e. NNY, N - any nucleotide, Y - pyrimidine), and is found particularly in mRNAs coding for cell wall proteins. To study the physiological relevance of SECReTE, we introduced synonymous mutations that either elevate or decrease its overall score in genes coding for secreted proteins, without changing the protein sequence, and examined the physiological effects in yeast. An increase in the SECReTE score elevated the synthesis and secretion of endogenous proteins while, in contrast, a reduction led to less secretion and physiological defects. Importantly, the addition of SECReTE to the 3UTR of an exogenous protein (e.g. SS-GFP) led to its increased secretion from yeast. SECReTE is present all through evolution and, thus, constitutes a novel RNA targeting motif found in both prokaryotes and eukaryotes.

cell biology↗

bioRxiv2018

Systematic detection of amino acid substitutions in proteome reveals a mechanistic basis of ribosome errors

Translation errors limit the accuracy of information transmission from DNA to proteins. Selective pressures shape the way cells produce their proteins: the translation machinery and the mRNA sequences it decodes co-evolved to ensure that translation proceeds fast and accurately in a wide range of environmental conditions. Our understanding of the causes of amino acid misincorporations and of their effect on the evolution of protein sequences is largely hindered by the lack of experimental methods to observe errors at the full proteome level. Here, we systematically detect and quantify errors in entire proteomes from mass spectrometry data. Following HPLC MS-MS data acquisition, we identify E. coli and S. cerevisiae peptides whose mass and fragment ion spectrum are consistent with that of a peptide bearing a single amino acid substitution, and verify that such spectrum cannot result from a post-translational modification. Our analyses confirm that most substitutions occur due to codon-to-anticodon mispairing within the ribosome. Patterns of errors due to mispairing were similar in bacteria and yeast, suggesting that the error spectrum is chemically constrained. Treating E. coli cells with a drug known to affect ribosomal proofreading increased the error rates due to mispairing at the wobble codon position. Starving bacteria for serine resulted in specific patterns of substitutions reflecting the amino acid deficiency. Overall, translation errors tend to occur at positions that are less evolutionarily conserved, and that minimally affect protein energetic stability, indicating that they are selected against. Genome wide ribosome density data suggest that errors occur at sites where ribosome velocity is relatively high, supporting the notion of a trade-off between speed and accuracy as predicted by proofreading theories. Together our results reveal a mechanistic basis for ribosome errors in translation.

systems biology↗

bioRxiv2017

Optimizing gene expression by adapting splicing

Can splicing be used by cells to adapt to new environmental challenges? While various adaptation mechanisms for regulating gene expression have been revealed for transcription and translation, the role of splicing and how it evolves to optimize gene-expression patterns has not been thoroughly investigated. To tackle this question, we employed a lab-evolution experimental approach that challenged yeast cells to increase expression levels of a gene that carries an inefficiently-spliced intron. We followed the evolution of multiple lines and found independent routes by which cells adapted. Surprisingly, we did not observe an intron loss event, a mechanism believed to be common in intron evolution. Instead, we identified mutations in cis that improved the introns splicing efficiency and increased the overall expression level of the entire gene. One of these cis-acting mutations occurred in an adjacent exon and hampered the functionality of the gene that was not under selection - demonstrating that adaptation of splicing efficiency may sometimes come at the expense of protein activity. Additionally, we observed adaptations in trans, which increased the cellular availability of the splicing machinery. These adaptations were achieved either by elevated expression levels of the splicing apparatus or, unexpectedly, by reduced expression levels of other intron-containing genes that are the natural consumers of this process. Ultimately, our work reveals novel molecular means by which the splicing machinery is changed by natural selection to optimize gene-expression patterns of cells.

evolutionary biology↗

bioRxiv2017

High-Resolution Dissection of Conducive Reprogramming Trajectory to Ground State Pluripotency

The ability to reprogram somatic cells into induced pluripotent stem cells (iPSCs) with four transcription factors Oct4, Sox2, Klf4 and cMyc (abbreviated as OSKM)1 has provoked interest to define the molecular characteristics of this process2-7. Despite important progress, the dynamics of epigenetic reprogramming at high resolution in correctly reprogrammed iPSCs and throughout the entire process remain largely undefined. This gap in understanding results from the inefficiency of conventional reprogramming methods coupled with the difficulty of prospectively isolating the rare cells that eventually correctly reprogram into iPSCs. Here we characterize cell fate conversion from fibroblast to iPSC using a highly efficient deterministic murine reprogramming system engineered through optimized inhibition of Gatad2a-Mbd3/NuRD repressive sub-complex. This comprehensive characterization provides single-day resolution of dynamic changes in levels of gene expression, chromatin modifications, TF binding, DNA accessibility and DNA methylation. The integrative analysis identified two transcriptional modules that dominate successful reprogramming. One consists of genes whose transcription is regulated by on/off epigenetic switching of modifications in their promoters (abbreviated as ESPGs), and the second consists of genes with promoters in a constitutively active chromatin state, but a dynamic expression pattern (abbreviated as CAPGs). ESPGs are mainly regulated by OSK, rather than Myc, and are enriched for cell fate determinants and pluripotency factors. CAPGs are predominantly regulated by Myc, and are enriched for cell biosynthetic regulatory functions. We used the ESPG module to study the identity and temporal occurrence of activating and repressing epigenetic switching during reprogramming. Removal of repressive chromatin modifications precedes chromatin opening and binding of RNA polymerase II at enhancers and promoters, and the opposite dynamics occur during repression of enhancers and promoters. Genome wide DNA methylation analysis demonstrated that de novo DNA methylation is not required for highly efficient conducive iPSC reprogramming, and identified a group of super-enhancers targeted by OSK, whose early demethylation marks commitment to a successful reprogramming trajectory also in inefficient conventional reprogramming systems. CAPGs are distinctively regulated by multiple synergystic ways: 1) Myc activity, delivered either endogenously or exogenously, dominates CAPG expression changes and is indispensable for induction of pluripotency in somatic cells; 2) A change in tRNA codon usage which is specific to CAPGs, but not ESPGs, and favors their translation. In summary, our unbiased high-resolution mapping of epigenetic changes on somatic cells that are committed to undergo successful reprogramming reveals interleaved epigenetic and biosynthetic reconfigurations that rapidly commission and propel conducive reprogramming toward naive pluripotency.

developmental biology↗