Biology subjects

Lynch, M.

Publications and source records attributed to Lynch, M..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Subcellular proteomics of Paramecium tetraurelia reveals mosaic localization of glycolysis and gluconeogenesis

Ciliates are unicellular heterotrophic eukaryotes, most of which consume other microbes as prey. They exhibit nuclear dimorphism which requires reconstruction of a transcriptionally active macronucleus from the germline micronucleus after sexual recombination. This complex genomic structure has prevented the development of highly tractable genetic models leaving much of ciliate cell biology unexplored. To complicate matters further, some ciliates tend to accumulate many gene duplicates either singly or via whole genome duplications. Thus, extensive insight into the cell biology of ciliates requires the use of high-throughput tools like subcellular proteomics. Here, we use a subcellular proteomics workflow to classify over 9,000 proteins to 16 subcellular compartments in Paramecium tetraurelia. From these data, we identify a small but robust subcellular cluster containing canonical mitochondrial outer membrane proteins as well as some ER proteins, putatively at membrane contact sites. Within this cluster, we identified the important glycolytic enzyme phosphofructokinase, which contained a transmembrane domain. Further investigation revealed that several latter-acting glycolytic enzymes were localized to the mitochondrial cluster. The location of phosphoenol pyruvate carboxykinase and pyruvate carboxylase in the mitochondria but pyruvate kinase in the cytosol suggests that ciliates prefer gluconeogenesis over glycolysis. The localization of these enzymes was confirmed in a preliminary subcellular proteome of Tetrahymena thermophila. In sum, our findings suggest that mitochondrial localization of glycolytic/gluconeogenic enzymes is widespread across ciliates and that several may preferentially undergo gluconeogenesis over glycolysis using amino acids as a primary carbon source in both catabolic and anabolic metabolism. HighlightsSubcellular proteomics of Paramecium tetraurelia revealed that glycolytic and gluconeogenic enzymes are mosaically distributed between the cytosol, mitochondrial matrix, and mitochondrial outer membrane. A distinct mitochondrial outer membrane compartment was identified with 105 classified proteins, including core mitochondrial biogenesis proteins and a putative Tom70-like protein. Phosphofructokinase, a key glycolytic enzyme, was found embedded in the mitochondrial outer membrane. Localization of biochemical pathways suggest ciliates favor gluconeogenesis over glycolysis. In total, over 9000 Paramecium proteins were identified using subcellular proteomics and classified into 16 different cellular compartments.

cell biology↗

bioRxiv2025

Translation Accuracy in E. coli

We present a method that quantifies nearly all pairwise amino acid substitutions, revealing the rates and spectra of mistranslation per amino acid and per codon. While determining error rates is illuminating, understanding why certain mistranslation events are enriched requires further exploration, particularly in relation to the translation-accuracy hypothesis. We found that codons favored in highly expressed genes are not predictive of translational fidelity and are not selected for translational accuracy. We evaluated our method using historically characterized ribosomal variants of Escherichia coli reported to differ in translation fidelity. However, we found no significant differences among their overall translation-error rates, estimated here to be [~]2 per 1,000 amino acids. Instead they each exhibited unique mistranslation profiles, which likely led to prior overestimates of the translation error-rate in the putative error-prone variant. Together, these results underscore the significance of a direct, proteome-wide measure of translation fidelity.

evolutionary biology↗

bioRxiv2024

Quantifying the evolutionary paths to endomembranes

Eukaryotes exhibit a complex and dynamic internal meshwork of membranes--the endomembrane system--used to insert membrane proteins, ingest food, and digest cells and macromolecules. Verbal models explaining the origin of endomembranes abound, but explicit quantitative considerations of fitness are lacking. A wealth of quantitative data on vesicle sizes, local protein abundances, protein residence times at functional loci, nutrient transporter rates, membrane protein insertion rates, etc., have been made available in the past couple of decades. Drawing on these data allows for the derivation of two biologically-grounded analytical models of endomembrane evolution that quantify organismal fitness: 1) vesicle-based uptake of nutrient molecules--pinocytosis, and 2) vesicle-based insertion of membrane proteins--proto-endoplasmic reticulum. Surprisingly, pinocytosis doesnt provide a net fitness gain under biologically sensible parameter ranges. Explaining why it is primarily used for protein, and not small molecule, uptake in contemporary organisms. The proto-endoplasmic reticulum does provide net fitness gains, making it the more likely candidate for initiating the origin of the endomembrane system. With modifications, the approach developed here can be used to understand the present-day endomembrane system and to further flesh out the cell-level fitness landscape of endomembranes and illuminate the origin of the eukaryotic cell.

cell biology↗

bioRxiv2023

Trade-offs, trade-ups, and high mutational parallelism underlie microbial adaptation to extreme feast/famine

Microbes are robust organisms capable of rapidly adapting to complex stress, enabling the colonization of harsh environments. In nature, microbes are regularly challenged by starvation, which is a particularly complex stress because resource limitation often co-occurs with changes in pH, osmolarity, and toxin accumulation created by metabolic waste. Often overlooked are the additional complications introduced by eventual resource replenishment as successful microbes must withstand rapid environmental shifts before swiftly capitalizing on replenished resources to avoid invasion by competing species. To understand how microbes navigate trade-offs between growth and survival, ultimately adapting to thrive in environments with extreme fluctuations, we experimentally evolved 16 Escherichia coli populations for 900 days to repeated feast/famine cycles of 100-day starvation before resource replenishment. Using longitudinal population-genomic analysis, we found that evolution in response to extreme feast/famine is characterized by narrow adaptive trajectories with high mutational parallelism and notable mutational order. Genetic reconstructions reveal that early mutations result in trade-offs for biofilm and motility but trade-ups for growth and survival, as these mutations conferred correlated advantages during both short-term and long-term culture. Our results demonstrate how microbes can navigate the adaptive landscapes of regularly fluctuating conditions and ultimately follow mutational trajectories that confer benefits across diverse environments.

evolutionary biology↗

bioRxiv2023

Consideration of a liquid mutation accumulation experiment to measure mutation rates by successive serial dilution.

The mutation-accumulation (MA) experiment is a fixture of evolutionary biology, though it is laborious to perform. MA experiments typically take between months and years to acquire sufficient mutations to measure DNA mutation rates and mutation spectra. MA experiments for many organisms rely on colony formation on agar plates and repetitive streaking, an environment which at first glance appears somewhat contrived, a poor imitation of real environmental living conditions. We propose that a fully liquid-phase mutation-accumulation experiment may at times more accurately reflect the environment of an organism. We note also that whereas automation of streaking plates is a daunting prospect, automation of liquid handling and serial dilution is already commonplace. In principle, this type of MA experiment can be automated so as to reduce the human capital requirements of measuring mutation rates. We demonstrate that a liquid MA recapitulates the mutation rate estimated for MMR- E. coli in liquid LB culture vs. plate LB culture. We detect a modified mutation spectrum with a transition skew of 4:1 of A:T[->]G:C vs G:C[->]A:T mutations, highlighting the potential role of tautomerization as a DNA mutation mechanism. We also find that using a plate reader to measure OD600 as a proxy for cell growth to be incapable of measuring carrying capacity for MA lines burdened with many mutations.

microbiology↗

bioRxiv2023

Evolutionary Genomics of Sister Species Differing in Effective Population Sizes and Recombination Rates

Studies of closely related species with known ecological differences provide exceptional opportunities for understanding the genetic mechanisms of evolution. Here, we compared population-genomics data between D. pulex and D. pulicaria, two reproductively compatible sister species experiencing ecological speciation, the first largely confined to intermittent ponds and the second to permanent lakes in the same geographic region. D. pulicaria has lower genome-wide nucleotide diversity, a smaller effective population size, higher incidence of private alleles, and substantially more linkage-disequilibrium than D. pulex. Functional enrichment analysis revealed that positively selected genes in D. pulicaria are enriched in potentially aging-related categories such as cellular homeostasis, which may explain the extended lifespan in D. pulicaria. We also found that opsin-related genes, which may mediate photoperiodic responses, are under different selection pressures in these two species. Additionally, genes involved in mitochondrial functions, ribosomes, and responses to environmental stimuli are found to be under positive selection in both species. Our results provide insights into the physiological traits that differ within this regionally sympatric sister-species pair that occupies unique microhabitats.

evolutionary biology↗

bioRxiv2023

Evolutionary Insights from a Large-scale Survey of Population-genomic Variation

Results from data on > 1000 haplotypes distributed over a nine-year period from a natural population of the microcrustacean Daphnia pulex reveal evolutionary-genomic features at a refined scale, including key population-genetic properties that are obscured in studies with smaller sample sizes. Background selection, resulting from the recurrent introduction of dele-terious alleles, appears to strongly influence the dynamics of neutral alleles, inducing indirect negative selection on rare variants and positive selection on common variants. Fluctuating selection increases the persistence of nonsynonymous alleles with intermediate frequencies, while reducing standing levels of variation at linked silent sites. Combined with the results from an equally large metapopulation survey of the study species, regions of gene structure that are under strong purifying selection and classes of genes that are under strong positive selection in this key species can be confidently identified. Most notable among rapidly evolving Daph-nia genes are those associated with ribosomes, mitochondrial functions, sensory systems, and lifespan determination.

evolutionary biology↗

bioRxiv2023

A Narrow Range of Transcript-error Rates Across the Tree of Life

The expression of genomically-encoded information is not error-free. Transcript-error rates are dramatically higher than DNA-level mutation rates, and despite their transient nature, the steady-state load of such errors must impose some burden on cellular performance. However, a broad perspective on the degree to which transcript-error rates are constrained by natural selection and diverge among lineages remains to be developed. Here, we present a genome-wide analysis of transcript-error rates across the Tree of Life using a modified rolling-circle sequencing method, revealing that the range in error rates is remarkably narrow across diverse species. Transcript errors tend to be randomly distributed, with little evidence supporting local control of error rates associated with gene-expression levels. A majority of transcript errors result in missense errors if translated, and as with a fraction of nonsense transcript errors, these are underrepresented relative to random expectations, suggesting the existence of mechanisms for purging some such errors. To quantitatively understand how natural selection and random genetic drift might shape transcript-error rates across species, we present a model based on cell biology and population genetics, incorporating information on cell volume, proteome size, average degree of exposure of individual errors, and effective population size. However, while this model provides a framework for understanding the evolution of this highly conserved trait, as currently structured it explains only 20% of the variation in the data, suggesting a need for further theoretical work in this area.

evolutionary biology↗

bioRxiv2023

The Genome-wide Signature of Short-term Temporal Selection

Despite evolutionary biologys obsession with natural selection, few studies have evaluated multi-generational series of patterns of selection on a genome-wide scale in natural populations. Here, we report on a nine-year population-genomic survey of the microcrustacean Daphnia pulex. The genome-sequences of > 800 isolates provide insights into patterns of selection that cannot be obtained from long-term molecular-evolution studies, including the pervasiveness of near quasi-neutrality across the genome (mean net selection coefficients near zero, but with significant temporal variance about the mean, and little evidence of positive covariance of selection across time intervals), the preponderance of weak negative selection operating on minor alleles, and a genome-wide distribution of numerous small linkage islands of observable selection influencing levels of nucleotide diversity. These results suggest that fluctuating selection is a major determinant of standing levels of variation in natural populations, challenge the conventional paradigm for interpreting patterns of nucleotide diversity and divergence, and motivate the need for the development of new theoretical expressions for the interpretation of population-genomic data. SignificanceExcept for mono/oligogenic traits known in advance to be under strong selection, there is little information on genome-wide patterns of temporal dynamics of allele-frequency changes in well-defined and unmanipulated natural populations. A multi-year survey of a population of the microcrustacean Daphnia pulex provides insight into these matters. Genome-wide analysis of > 800 genetic isolates demonstrates that temporal variation in selection intensity is a major determinant of levels of nucleotide polymorphism and divergence. Most nucleotide sites experience fluctuating selection with mean selection coefficients near zero, with little covariance in the strength of selection across time intervals, and with selection distributed across large numbers of genomic islands of linked sites. These results raise challenges for the conventional interpretation of measures of nucleotide diversity and divergence as indicators of effective population sizes and intensities of positive/negative selection.

evolutionary biology↗

bioRxiv2023

Molecular Coevolutionary Drive

Most aspects of the molecular biology of cells involve tightly coordinated intermolecular interactions requiring specific recognition at the nucleotide and/or amino-acid levels. This has led to long-standing interest in the degree to which constraints on interacting molecules result in conserved vs. accelerated rates of sequence evolution, with arguments commonly being made that molecular coevolution can proceed at rates exceeding the neutral expectation. Here, a fairly general model is introduced to evaluate the degree to which the rate of evolution at functionally interacting sites is influenced by effective population sizes (Ne), mutation rates, strength of selection, and the magnitude of recombination between sites. This theory is of particular relevance to matters associated with interactions between organelle- and nuclear-encoded proteins, as the two genomic environments often exhibit dramatic differences in the power of mutation and drift. Although genes within low Ne environments can drive the rate of evolution of partner genes experiencing higher Ne, rates exceeding the neutral expectation require that the former also have an elevated mutation rate. Testable predictions, some counterintuitive, are presented on how patterns of coevolutionary rates should depend on the relative intensities of drift, selection, and mutation. Significance StatementA wide variety of features at the cellular level involve precise interactions between participating molecular partners, thereby requiring coordinated co-evolutionary changes within lineages. The same is true for ecological interactions between species. Although there has been much speculation on how such constraints might drive molecular evolutionary rates beyond the neutral expectation, there has been little formal evolutionary theory to evaluate the generality of such claims. Here, a general framework is developed for ascertaining how rates of sequence evolution depend on the population-genetic environments of both interacting partner molecules. Although the features of one site can indeed drive the evolution of the other, only under restrictive conditions does this process push rates beyond the neutral expectation.

evolutionary biology↗

bioRxiv2022

One-Step PCR Amplicon Library Construction (OSPALC, version 1)

High-throughput sequencing of amplicons has been widely used to precisely and efficiently identify species compositions and analyze community structures, greatly promoting biological studies involving large amounts of complex samples, especially those involving environmental and pathogen-monitoring ones. However, commercial library preparation kits for amplicon sequencing, which generally require multiple steps, including adapter ligation and indexing, are expensive and time-consuming, especially for applications at a large scale. Here, to overcome this technical hurdle, we present a one-step PCR amplicon library construction (OSPALC) protocol for amplicon library preparations in the lab along with a QIIME2-based amplicon analysis pipeline. High-quality reads have been generated by this approach to reliably identify species compositions of mock bacterial communities and environmental samples. With this protocol, the amplicon library construction is completed through one regular PCR with long primers, and the total cost per DNA/cDNA sample decreases to just 1/15 of the typical cost via service providers. Empirically tested primers to construct OSPALC libraries for 16S rDNA V4 regions are demonstrated as a case study. Criteria to design primers targeting at any regions of prokaryotic and eukaryotic genomes are also suggested. In principle, OSPALC can be conveniently used in amplicon library constructions of any target gene of both prokaryotes and eukaryotes at the DNA or RNA levels, and will facilitate research in numerous fields.

genomics↗

bioRxiv2022

The Divergence of Mean Phenotypes Under Persistent Directional Selection

Numerous organismal traits, particularly at the cellular level, are likely to be under persistent directional selection across phylogenetic lineages. For such traits, unless all mutations affecting such traits have large enough effects to be efficiently selected in all species, gradients in mean phenotypes are expected to arise as a consequence of differences in the power of random genetic drift, which varies by approximately five orders of magnitude across the Tree of Life. Prior theoretical work examining the conditions under which such gradients can arise focused on the simple situation in which all genomic sites affecting the trait have identical and constant mutational effects. Here, we extend this theory to incorporate the more biologically realistic situation in which mutational effects on a trait differ among nucleotide sites. Pursuit of such modifications lead to the development of semi-analytic expressions for the ways in which selective interference arises via linkage effects in single-effect models, which then extend to more complex scenarios. The theory developed clarifies the conditions under which mutations of different selective effects mutually interfere with each others fixation, and shows how variance in effects among sites can substantially modify and extend the expected scaling relationships between mean phenotypes and effective population sizes.

evolutionary biology↗

bioRxiv2022

The fidelity of transcription in human cells

Accurate transcription is required for the faithful expression of genetic information. To provide insight into the molecular mechanisms that control the fidelity of transcription, we analyzed the landscape of transcription errors in human embryonic stem cells. These measurements provide the first reasonable estimate of the fidelity of transcription in human cells and identify multiple genetic and epigenetic factors that control its accuracy. In addition, we developed a new reporter mouse to identify cell types and tissues that commit these errors the most. These experiments revealed that CA1 and dentate gyrus neurons are highly sensitive to transcriptional mutagenesis, lending new support to the hypothesis that transcription errors play a role in the progression of Alzheimers disease. Taken together, these experiments provide unprecedented insight into the fidelity of gene expression in human cells and the molecular mechanisms that govern the central dogma of life.

genetics↗

bioRxiv2022

Flagellar energy costs across the Tree of Life

Flagellar-driven motility grants unicellular organisms the ability to gather more food and avoid predators, but the energetic costs of construction and operation of flagella are considerable. Paths of flagellar evolution depend on the deviations between fitness gains and energy costs. Using structural data available for all three major flagellar types (bacterial, archaeal, and eukaryotic), flagellar construction costs were determined for Escherichia coli, Pyrococcus furiosus, and Chlamydomonas reinhardtii. Estimates of cell volumes, flagella numbers, and flagellum lengths from the literature, yield flagellar costs for another [~]200 species. The benefits of flagellar investment were analysed in terms of swimming speed, nutrient collection, and growth rate; showing, among other things, that the cost-effectiveness of bacterial and eukaryotic flagella follows a common trend. However, a comparison of whole cell costs and flagellum costs across the Tree of Life reveals that only cells with larger cell volumes than the typical bacterium could evolve the more expensive eukaryotic flagellum. These findings provide insight into the unsolved evolutionary question of why the three domains of life each carry their own type of flagellum.

evolutionary biology↗

bioRxiv2022

Resource allocation to cell envelopes and the scaling of bacterial growth rate

1Although various empirical studies have reported a positive correlation between the specific growth rate and cell size across bacteria, it is currently unclear what causes this relationship. We conjecture that such scaling occurs because smaller cells have a larger surface-to-volume ratio and thus have to allocate a greater fraction of the total resources to the production of the cell envelope, leaving fewer resources for other biosynthetic processes. To test this theory, we developed a coarse-grained model of bacterial physiology composed of the proteome that converts nutrients into biomass, with the cell envelope acting as a resource sink. Assuming resources are partitioned to maximize the growth rate, the model yields expected scalings. Namely, the growth rate and ribosomal mass fraction scale negatively, while the mass fraction of envelope-producing enzymes scales positively with surface-to-volume. These relationships are compatible with growth measurements and quantitative proteomics data reported in the literature.

systems biology↗

bioRxiv2021

Microfluidic system-based time-course tracking of physical proximity between cells and its effect on gene expression for elucidating live single cancer-immune cell interactions

Cell-cell communication and physical interactions play a vital role in cancer initiation, homeostasis, progression, and immune response. Here, we report a system that combines live capture of different cell types, co-incubation, time-lapse imaging, and gene expression profiling of doublets using a microfluidic integrated fluidic circuit (IFC) that enables measurement of physical distances between cells and the associated transcriptional profiles due to cell-cell interactions. The temporal variations in natural killer (NK) - triple-negative breast cancer (TNBC) cell distances were tracked and compared with terminally profiled cellular transcriptomes. The results showed the time-bound activities of regulatory modules and alluded to the existence of transcriptional memory. Our experimental and bioinformatic approaches serve as a proof of concept for interrogating live cell interactions at doublet resolution, which can be applied across different cancers and cell types.

cancer biology↗

bioRxiv2021

Statistical inference in population genomics

The field of population genomics has grown rapidly in response to the recent advent of affordable, large-scale sequencing technologies. As opposed to the situation during the majority of the 20th century, in which the development of theoretical and statistical population-genetic insights out-paced the generation of data to which they could be applied, genomic data are now being produced at a far greater rate than they can be meaningfully analyzed and interpreted. With this wealth of data has come a tendency to focus on fitting specific (and often rather idiosyncratic) models to data, at the expense of a careful exploration of the range of possible underlying evolutionary processes. For example, the approach of directly investigating models of adaptive evolution in each newly sequenced population or species often neglects the fact that a thorough characterization of ubiquitous non-adaptive processes is a prerequisite for accurate inference. We here describe the perils of these tendencies, present our consensus views on current best practices in population genomic data analysis, and highlight areas of statistical inference and theory that are in need of further attention. Thereby, we argue for the importance of defining a biologically relevant baseline model tuned to the details of each new analysis, of skepticism and scrutiny in interpreting model-fitting results, and of carefully defining addressable hypotheses and underlying uncertainties.

evolutionary biology↗

bioRxiv2021

Chromosomal rearrangements preserve adaptive divergence in ecological speciation

Despite increasing empirical evidence that chromosomal rearrangements may play an important role in adaptive divergence and speciation, the degree to which divergent genomic regions are associated with chromosomal rearrangements remains unclear. In this study, we provide the first whole-genome analyses of ecological speciation and chromosomal evolution in a Daphnia species complex, using chromosome-scale assemblies and natural-population sequencing of the recently diverged species pair, Daphnia pulicaria and Daphnia pulex, which occupy distinct yet overlapping habitats in North America, and the outgroup species Daphnia obtusa. Our results describe a mixed mode of geographic divergence (isolation with secondary contact) resulting in a heterogeneous landscape of genomic divergence. Large contiguous "continents of divergence" encompass over one third of the genome (36%) and contain nearly all the fixed differences (94%) between the species, while the background genome has been homogenized. Chromosomal rearrangements between species, including inversions and intrachromosomal translocations, are associated with the continents of divergence and capture multiple adaptive alleles in genes and pathways thought to contribute to the species phenotypic differences.

evolutionary biology↗