Biology subjects

Dorrity, M. W.

Publications and source records attributed to Dorrity, M. W..

10 recordsLinked to original sources

bioRxiv2022

Proteostasis governs differential temperature sensitivity across embryonic cell types

The genetic program of embryonic development is remarkably robust, but temperature stress can degrade its ability to generate animals with invariant anatomy. While the stereotyped, consistent phenotypes associated with environmental stress during vertebrate development suggest that some cell types are more sensitive to stress than others, the basis of this sensitivity is unknown. Here, we characterize hundreds of individual zebrafish embryos under temperature stress using whole-animal single cell RNA-seq to identify cell types and molecular programs within them that drive phenotypic variability. We find that temperature perturbs the normal proportions and gene expression programs of numerous cell types and also introduces asynchrony in their development. The notochord is particularly sensitive to temperature stress, which we show is due to a specialized cell type, sheath cells. Further analyses show that sheath cells accumulate misfolded protein at elevated temperature, leading to a cascading structural failure of the notochord and irreversible anatomic defects in the embryo. Our study demonstrates that whole-animal single cell RNA-seq can characterize mechanisms important for developmental robustness and pinpoint molecular programs within specific cell types that constitute key failure points.

genomics↗

bioRxiv2022

Deep molecular, cellular and temporal phenotyping of developmental perturbations at whole organism scale

The maturation of single cell transcriptomic technologies has facilitated the generation of comprehensive cellular atlases from whole embryos. A majority of this data, however, has been collected from wild type embryos without an appreciation for latent variation present in development. Here we present single cell transcriptomic data from 1812 individually resolved developing zebrafish embryos, encompassing 19 time points, 23 genetic perturbations, and totaling 3.2M cells. The high degree of replication in our study (8 or more embryos per condition) allows us to estimate the variance in cell type abundance organism-wide and to detect perturbation-dependent deviance in cell type composition relative to wild type embryos. Our approach is sensitive to rare cell types, resolving developmental trajectories and genetic dependencies in the cranial ganglia neurons, a cell population that comprises less than 1% of the embryo. Additionally, time-series profiling of individual mutants identified a group of brachyury-independent cells with strikingly similar transcriptomes to notochord sheath cells, leading to new hypotheses about the origins of the skull. We anticipate that standardized collection of high-resolution, organism-scale single cell data from large numbers of individual embryos will enable mapping the genetic dependencies of zebrafish cell types, while also addressing long-standing challenges in developmental genetics, including the cellular and transcriptional plasticity underlying phenotypic diversity across individuals.

genomics↗

bioRxiv2020

The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution

In plants, chromatin accessibility - the primary mark of regulatory DNA - is relatively static across tissues and conditions. This scarcity of accessible sites that are dynamic or tissue-specific may be due in part to tissue heterogeneity in previous bulk studies. To assess the effects of tissue heterogeneity, we apply single-cell ATAC-seq to A. thaliana roots and identify thousands of differentially accessible sites, sufficient to resolve all major cell types of the root. However, even this vast increase relative to bulk studies in the number of dynamic sites does not resolve the poor correlation at individual loci between accessibility and expression. Instead, we find that the entirety of a cells regulatory landscape and its transcriptome each capture cell type identity independently. We leverage this shared information on cell identity to integrate accessibility and transcriptome data in order to characterize developmental progression, endoreduplication and cell division in the root. We further use the combined data to characterize cell type-specific motif enrichments of large transcription factor families and to link the expression of individual family members to changing accessibility at specific loci, taking the first steps toward resolving the direct and indirect effects that shape gene expression. Our approach provides an analytical framework to infer the gene regulatory networks that execute plant development.

genomics↗

bioRxiv2020

Transcriptional re-wiring by mutation of the yeast Hsf1 oligomerization domain

Response to heat stress is mediated by heat shock transcription factors (HSFs), which possess conserved DNA-binding and oligomerization domains. The oligomerization domain is required for HSF1 to transition under heat stress from a monomer to a homotrimer, which alters DNA-binding specificity and affinity. Sequence variation in the oligomerization domain affects HSF1 activity, although this link is poorly understood. We performed a deep mutational scan of >400,000 variants of the oligomerization domain of Saccharomyces cerevisiae Hsf1 and measured fitness under stress and non-stress conditions. We identify mutations that confer temperature-specific phenotypes; some exceptional Hsf1variants lead to enhanced growth under heat stress and changes to in vivo DNA-binding and transcriptional programs. The link between Hsf1 oligomerization and DNA-binding domain is evolutionarily conserved, with co-evolving residues between these domains found among fungi. Mutation of transcription factor oligomerization domains may represent a path toward re-wiring transcriptional programs without mutation of DNA-binding domains.

genomics↗

bioRxiv2020

Identification of plant enhancers and their constituent elements by STARR-seq in tobacco leaves

Genetic engineering of cis-regulatory elements in crop plants is a promising strategy to ensure food security. However, such engineering is currently hindered by our limited knowledge of plant cis-regulatory elements. Here, we adapted STARR-seq -- a technology for the high-throughput identification of enhancers -- for its use in transiently transformed tobacco leaves. We demonstrate that the optimal placement in the reporter construct of enhancer sequences from a plant virus, pea and wheat was just upstream of a minimal promoter, and that none of these four known enhancers was active in the 3'-UTR of the reporter gene. The optimized assay sensitively identified small DNA regions containing each of the four enhancers, including two whose activity was stimulated by light. Furthermore, we coupled the assay to saturation mutagenesis to pinpoint functional regions within an enhancer, which we recombined to create synthetic enhancers. Our results describe an approach to define enhancer properties that can be performed in potentially any plant species or tissue transformable by Agrobacterium and that can use regulatory DNA derived from any plant genome. One-sentence summaryWe developed a high-throughput assay in transiently transformed tobacco leaves that can identify enhancers, characterize their functional elements and detect condition-specific enhancer activity.

plant biology↗

bioRxiv2019

Dimensionality reduction by UMAP to visualize physical and genetic interactions

Dimensionality reduction is often used to visualize complex expression profiling data. Here, we use the Uniform Manifold Approximation and Projection (UMAP) method on published transcript profiles of 1484 single gene deletions of Saccharomyces cerevisiae. Proximity in low-dimensional UMAP space identifies clusters of genes that correspond to protein complexes and pathways, and finds novel protein interactions even within well-characterized complexes. This approach is more sensitive than previous methods and should be broadly useful as additional transcriptome datasets become available for other organisms.

genomics↗

bioRxiv2018

Developmental and conditional dynamics of gene expression in single root cells of A. thaliana

Single-cell RNA-seq can yield high-resolution cell-type-specific expression signatures that reveal new cell types and the developmental trajectories of cell lineages. Here, we apply this approach to A. thaliana root cells to capture gene expression in 3,121 root cells. We analyze these data with Monocle 3, which orders single cell transcriptomes in an unsupervised manner and uses machine learning to reconstruct single-cell developmental trajectories along pseudotime. We identify hundreds of genes with cell-type-specific expression, with pseudotime analysis of several cell lineages revealing both known and novel genes that are expressed along a developmental trajectory. We identify transcription factor motifs that are enriched in early and late cells, together with the corresponding candidate transcription factors that likely drive the observed expression patterns. We assess and interpret changes in total RNA expression along developmental trajectories and show that trajectory branch points mark developmental decisions. Finally, by applying heat stress to whole seedlings, we address the longstanding question of possible heterogeneity among cell types in the response to an abiotic stress. Although the response of canonical heat shock genes dominates expression across cell types, subtle but significant differences in other genes can be detected among cell types. Taken together, our results demonstrate that single-cell transcriptomics holds promise for studying plant development and plant physiology with unprecedented resolution.

genetics↗

bioRxiv2018

High-throughput identification of dominant negative polypeptides in yeast

Dominant negative polypeptides can act as inhibitors by binding to the wild type protein or by titrating an essential ligand. Here, we use high-throughput sequencing of DNA libraries composed of fragments of yeast genes to identify dominant negative polypeptides based on their depletion during cell growth. The method uncovers numerous inhibitory polypeptides for a protein and thus is capable of defining interacting domains with exquisite resolution, even pinpointing individual residues that contact ligands.

genomics↗

bioRxiv2017

Trait specificity mediated by alternative DNA-binding preferences of a single transcription factor in yeast.

In Saccharomyces cerevisiae, the decision to mate or invade relies on environmental cues that converge on a shared transcription factor, Ste12. Specificity toward invasion occurs via Ste12 binding cooperatively with the co-factor Tec1. Here, we characterize the in vitro binding preferences of Ste12 to identify a defined spacing and orientation of dimeric sites, one that is common in pheromone-regulated genes. We find that single amino acid changes in the DNA-binding domain of Ste12 can shift the preference of yeast toward either mating or invasion. These mutations define two distinct regions of this domain, suggesting alternative modes of DNA binding for each trait. Some exceptional Ste12 mutants promote hyperinvasion in a Tec1-independent manner; these fail to bind cooperative sites with Tec1 and bind to unusual dimeric Ste12 sites that contain one highly degenerate half site. We propose a model for how activation of invasion genes could have evolved with Ste12 alone.

genomics↗

bioRxiv2017

Regulatory DNA in A. thaliana can tolerate high levels of sequence divergence

Variation in regulatory DNA is thought to drive evolution. Cross-species comparisons of regulatory DNA have provided evidence for both weak purifying selection and substantial turnover in regulatory regions. However, disruption of transcription factor binding sites can affect the expression of neighboring genes. Thus, the base-pair level functional annotation of regulatory DNA has proven challenging. Here, we explore regulatory DNA variation and its functional consequences in genetically diverse strains of the plant Arabidopsis thaliana, which largely maintain the positional homology of regulatory DNA. Using chromatin accessibility to delineate regulatory DNA genome-wide, we find that 15% of approximately 50,000 regulatory sites varied in accessibility among strains. Some of these accessibility differences are associated with extensive underlying sequence variation, encompassing many deletions and dramatically hypervariable sequence. For the majority of such regulatory sites, nearby gene expression was similar, despite this large genetic variation. However, among all regulatory sites, those with both high levels of sequence variation and differential chromatin accessibility are the most likely to reside near genes with differential expression among strains. Unexpectedly, the vast majority of regulatory sites that differed in chromatin accessibility among strains show little variation in the underlying DNA sequence, implicating variation in upstream regulators.

genomics↗