bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.09.12.557247

Systematic identification of transcriptional activator domains from non-transcription factor proteins in plants and yeast

Abstract

Transcription factors promote gene expression via trans-regulatory activation domains. Although whole genome scale screens in model organisms (e.g. human, yeast, fly) have helped identify activation domains from transcription factors, such screens have been less extensively used to explore the occurrence of activation domains in non-transcription factor proteins, such as transcriptional coactivators, chromatin regulators and some cytosolic proteins, leaving a blind spot on what role activation domains in these proteins could play in regulating transcription. We utilized the activation domain predictor PADDLE to mine the entire proteomes of two model eukaryotes, Arabidopsis thaliana and Saccharomyces cerevisiae (1). We characterized 18,000 fragments covering predicted activation domains from >800 non-transcription factor genes in both species, and experimentally validated that 89% of proteins contained fragments capable of activating transcription in yeast. Peptides with similar sequence composition show a broad range of activities, which is explained by the arrangement of key amino acids. We also annotated hundreds of nuclear proteins with activation domains as putative coactivators; many of which have never been ascribed any function in plants. Furthermore, our library contains >250 non-nuclear proteins containing peptides with activation domain function across both eukaryotic lineages, suggesting that there are unknown biological roles of these peptides beyond transcription. Finally, we identify and validate short, universal eukaryotic activation domains that activate transcription in both yeast and plants with comparable or stronger performance to state-of-the-art activation domains. Overall, our dual host screen provides a blueprint on how to systematically discover novel genetic parts for synthetic biology that function across a wide diversity of eukaryotes. Significance StatementActivation domains promote transcription and play a critical role in regulating gene expression. Although the mapping of activation domains from transcription factors has been carried out in previous genome-wide screens, their occurrence in non-transcription factors has been less explored. We utilize an activation domain predictor to mine the entire proteomes of Arabidopsis thaliana and Saccharomyces cerevisiae for new activation domains on non-transcription factor proteins. We validate peptides derived from >750 non-transcription factor proteins capable of activating transcription, discovering many potentially new coactivators in plants. Importantly, we identify novel genetic parts that can function across both species, representing unique synthetic biology tools.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hummel, N., Markel, K., Stefani, J., Staller, M. V., Shih, P.. 2023-09-12. Systematic identification of transcriptional activator domains from non-transcription factor proteins in plants and yeast. https://doi.org/10.1101/2023.09.12.557247

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A genetic screen to identify host factors required for commensal bacterial adherence to the gut epithelia

Bacterial adherence to gut epithelial cells likely involves host genetic components. We isolated a gut commensal bacterium, Lelliottia jeotgali, that can robustly colonize C. elegans through attachment to intestinal epithelial cells. Here, we developed a novel screen in C. elegans to identify host genes required for microbiome bacterial colonization. Using transgenic L. jeotgali strain expressing tdTomato, we conducted forward genetic screens in C. elegans to select for mutants that completely lost colonization. We identified multiple allelic mutations in five different C. elegans genes, termed knockout of Lelliottia adherence (kola) mutants, with a near complete loss of adherence. Each of kola-1-5 is uncharacterized and predicted to encode for a secreted or membrane-bound protein. We also identified gly-5, a GalNAc transferase that initiates O-linked glycosylation. Overall, we describe the first C. elegans screen to identify host factors that control microbiome bacterial colonization in the gut.

genetics↗

Deciphering the Dynamics of Leukemogenic Transformation from Clonal Hematopoiesis in Congenital Neutropenia

Inherited neutropenia syndromes, severe congenital neutropenia (CN) and Shwachman-Diamond syndrome (SDS), confer a high cumulative risk of MDS and AML. It is not yet clear which somatic mutations, in which combination, allele frequency and sequence identify patients at high risk. We analyzed clonal hematopoiesis (CH) in the largest representative cohort of inherited neutropenia patients to date - 658 samples from 309 patients - using error-corrected panel sequencing with longitudinal sampling. This was complemented in selected cases by single-cell DNA sequencing and genotyping of single-cell derived colonies. CH was detected in early childhood, affecting 37.7% of CN and 60% of SDS patients. The somatic mutation burden remained essentially unchanged over decades. In CN, CSF3R mutations were dominant across genetic subtypes, while additional mutations were rare and included ASXL1, TET2, and DNMT3A. ASXL1 mutations most frequently co-occurred with CSF3R mutations. Co-occurring CSF3R and TP53 mutations were only found in SRP54-CN and CLPB-CN patients. In SDS, TP53 was the most frequently mutated gene, followed by low-prevalence somatic mutations in DNMT3A, IDH1, PTPN11, and RUNX1. In CN-MDS/AML, RUNX1 and SETBP1 mutations emerged shortly before progression to MDS/AML, and membrane-proximal CSF3R mutations only at the leukemic stage. In SDS, biallelic TP53-mutant clones expanded prior to transformation, and a variant allele frequency (VAF) of dominant TP53 clone above 0.074 discriminated between patients who progressed and those who did not. Peripheral blood reflected bone marrow genotype for most key drivers. Leukemic transformation in inherited neutropenia is therefore not stochastic, but rather follows a defined mutational sequence, initiated in childhood.

genetics↗

A largely shared genetic architecture underlies Saccharomyces cerevisiae persistence across different mouse host genotypes

The extent to which interactions between microbial and host genotypes shape opportunistic pathogen persistence within hosts is an important open question. To assess the contribution of these interactions to persistence, we used Saccharomyces cerevisiae , a genetically tractable model for studying opportunistic fungal persistence in mammalian hosts. A pooled panel of barcoded haploid segregants from a cross between a laboratory strain and a clinical isolate, together with both parents, was introduced intravenously into seven genetically diverse mouse strains. We measured the relative persistence of segregants in mouse brains and livers using barcode sequencing. Persistence showed transgressive segregation in both organs. On average across the two organs, yeast genotype explained 45.2% of the variance in segregant persistence, whereas yeast genotype-by-host genotype interactions explained only 2.9%. Linkage mapping showed that loci detected in more host genotypes generally explained more phenotypic variance than those detected in fewer host genotypes. At some loci, genetic variation correlated with increased yeast persistence across multiple organs (general loci) while at others increased persistence in one organ came at the cost of decreased persistence in another (antagonistic loci). General loci contributed disproportionately to brain persistence, whereas liver persistence reflected contributions from both classes. The clinical parent showed greater persistence than the laboratory parent in every host-organ combination, and the additive effects of detected loci predicted the direction of this advantage. Overall, this work shows that in this system, relative microbial persistence is polygenic, with a strong additive component and only a very small contribution from microbial genotype-by-host genotype interactions.

genetics↗