Biology subjects

Flynn, J. M.

Publications and source records attributed to Flynn, J. M..

At least 19 recordsLinked to original sources

bioRxiv2026

Expression of AAACTAC satellite repeats as a long noncoding RNA in the early oocyte of Drosophila virilis

Satellite DNA is long arrays of tandem repetitive DNA located often near the centromeres of chromosomes, whose function, or lack of, has been debated since its discovery. Although situated in heterochromatin, satellite DNA may be expressed as long noncoding RNAs (lncRNAs). Although there are a few examples of satellite lncRNAs being characterized, and functions suggested, how widespread and functionally important they may be for developmental processes is not understood. Here, we take an evolutionary approach to investigate satellite lncRNA expression in Drosophila spp. ovaries, a tissue whose development is well-characterized but where satellite expression has only been minimally explored. Using a publicly-available total RNAseq dataset, we find that 118/156 surveyed satellite DNAs were expressed across 10 species, with 33 satellites having high expression over 20 RPM. However, all but two of these expressed satellites (AAACTAC in D. virilis and ACAGACAGACAGG in D. ananassae) had higher read counts in a sister smallRNA dataset, suggesting that most satellite transcripts primarily serve as precursors for piRNA biogenesis. The two "stand-alone" lncRNAs were highly strand-biased, with 96-97% of the total reads coming from one strand. We further investigated AAACTAC expression with RNA FISH and found the transcript is specifically present in the oocyte nucleus following a dynamic spatiotemporal pattern, with the highest expression in stage 3-5 oocytes. The transcription pattern of AAACTAC is conserved in the three other virilis clade species that contain this satellite DNA. Further, we found expression of unrelated satellites in more distantly related D. borealis and littoralis both in the oocyte and the nurse cells. Overall, our work identifies a novel lncRNA AAACUAC found in the early oocyte nucleus, which is conserved across ~5 MY of evolution, and is therefore a strong candidate for the discovery of novel functions of satellite lncRNAs in development.

developmental biology↗

bioRxiv2025

Cooperativity and Communication between the Active Sites of the Dimeric SARS-CoV-2 Main Protease

The coronaviral main protease (Mpro) is essential for the replication of the virus, and has been the subject of various biochemical, structural and enzymatic studies, as well as a drug target against SARS-CoV-2 infections. SARS-CoV-2 Mpro is known to be active as a dimer, with the N terminus of one protomer completing a key active site pocket of the other protomer. Despite apparent cooperativity in catalytic activity, how the two distal active sites in the dimer communicate and might be modulating binding and/or catalysis at the other remain to be clarified. Here, we have investigated the interplay between cooperativity, dimerization, and substrate cleavage in SARS-CoV-2 Mpro through a combination of enzymatic assays, crystal structures, and protein characterization. To disentangle the contribution of each active site to the observed enzymatic activity, we developed a cleavage assay involving heterodimers of active and inactive (C145A or inhibitor-bound) monomers. Strikingly, we found that heterodimerization increased cleavage efficiency per active monomer. Additionally, we mapped a network of critical residues bridging the two active sites and probed this network through engineered mutations. By dissecting the cooperativity and communication between the active sites, we provide new insights into the Mpro reaction cycle and functional significance of its dimeric architecture.

biochemistry↗

bioRxiv2025

Host- and microbial-mediated mucin degradation differentially shape Pseudomonas aeruginosa physiology and gene expression

Pseudomonas aeruginosa is a hallmark pathogen of cystic fibrosis (CF) airway infections, capable of reaching high cell densities despite its limited ability to directly utilize mucin glycoproteins as a nutrient source. In the CF lung, however, P. aeruginosa may access preferred carbon sources (e.g., amino acids and short-chain fatty acids) through metabolic cross-feeding with co-colonizing mucin-degrading microbes. Although host-derived enzymes such as neutrophil elastase can also degrade mucins, the extent to which host-mediated mucin breakdown supports P. aeruginosa growth remains unclear. Thus, here we compared the nutritional impact of microbial versus host mucolytic activity on P. aeruginosa physiology. Analyses of CF sputum revealed patient-specific variability in mucin integrity that is shaped by both host and microbial factors. We demonstrate that mucin degradation by anaerobic bacteria through proteolysis, glycolysis, and fermentation, promotes robust P. aeruginosa growth, unlike mucin processed by neutrophil elastase alone. Targeted metabolomics identified acetate and propionate as key metabolites driving this cross-feeding, while transcriptomic and phenotypic analyses revealed that P. aeruginosa engages in diauxic growth on a broader set of mucin-derived substrates. Unexpectedly, cross-feeding with anaerobes triggered the induction of P. aeruginosa denitrification and fermentation pathways, suggesting redox remodeling despite being cultured under oxygen-replete conditions. Finally, the transcriptional profile of P. aeruginosa grown on anaerobe-conditioned mucins more closely resembled its in vivo gene expression, more so than when grown on intact or neutrophil-degraded mucins. Together, these findings provide new insight into the potential role of interspecies metabolic interactions in shaping pathogen physiology in the inflammatory, polymicrobial, and mucus-rich environment of the CF airways. Author SummaryCystic fibrosis (CF) airways contain viscous mucus that traps both pathogens and commensals. The major pathogen, P. aeruginosa thrives in these mucus-rich, inflamed environments, but how it acquires nutrients to sustain growth is poorly understood. We demonstrate that while host neutrophil enzymes degrade mucin polymers, this degradation alone does not provide substantial nutrients to support P. aeruginosa proliferation. In contrast, co-colonizing anaerobic microbiota extensively degrade mucins and generate short-chain fatty acids and other metabolites that strongly promote P. aeruginosa growth. We show that anaerobe-degraded mucins not only support faster growth but also trigger redox remodeling and gene expression changes that closely resemble P. aeruginosa behavior in CF patient sputum. This work highlights the important role of interspecies metabolic interactions in shaping CF airway infections and suggests new consideration for therapeutic strategies targeting airway microbiomes.

microbiology↗

bioRxiv2025

Distinct satellite DNA composition between core and germline restricted chromosomes in Bradysia (Sciara) coprophila

Programmed DNA elimination (PDE), a phenomenon wherein cells eliminate a subset of genetic material during certain stages of development, is observed in a broad range of organisms. The fungus gnat Bradysia (formerly Sciara) coprophila undergoes a series of PDE events during their development, including elimination of germline-restricted chromosomes (called L chromosomes) in soma and elimination of paternal chromosomes during male meiosis. However, the underlying mechanisms of this phenomenon are poorly understood. Highly repetitive satellite DNA, which often shows chromosome specific distribution, is a possible candidate for sequences involved in PDE. In this study, we utilized recent genomic data and genome assemblies to identify new satellite DNA sequences of B. coprophila. Through characterization of satellite DNA distribution on chromosomes, we found that the X and autosomes do not share centromeric satellite DNA sequence with the L chromosomes. We further provide the cytological evidence that confirms a recent finding based on the genome assembly that there are two distinct L chromosomes that were not previously distinguished cytologically. Together, our work lays a foundation for future studies to explore the possible connection between satellite DNA and the mechanism of PDE in B. coprophila.

cell biology↗

bioRxiv2024

Dominant negative mutations in yeast Hsp90 reveal triage decision mechanism targeting client proteins for degradation

Most of the fundamental processes of cells are mediated by proteins. However, the biologically-relevant mechanism of most proteins are poorly understood. Dominant negative mutations have provided a valuable tool for investigating protein mechanisms but can be difficult to isolate because of their toxic effects. We used a mutational scanning approach to identify dominant negative mutations in yeast Hsp90. Hsp90 is a chaperone that forms dynamic complexes with many co-chaperones and client proteins. In vitro analyses have elucidated some key biochemical states and structures of Hsp90, co-chaperones, and clients; however, the biological mechanism of Hsp90 remains unclear. For example, high throughput studies have found that many E3 ubiquitin ligases bind to Hsp90, but it is unclear if these are primarily clients or acting to tag other clients for degradation. We introduced a library of all point mutations in the ATPase domain of Hsp90 into yeast and noticed that 176 were more than 10-fold depleted at the earliest point that we could analyze. There were two hot spot regions of the depleted mutations that were located at the hinges of a loop that closes over ATP. We quantified the dominant negative growth effects of mutations in the hinge regions using a library of mutations driven by an inducible promoter. We analyzed individual dominant negative mutations in detail and found that addition of the E33A mutation that prevents ATP hydrolysis by Hsp90 abrogated the dominant negative phenotype. Pull-down experiments did not reveal any stable binding partners, indicating that the dominant effects were mediated by dynamic complexes. DN Hsp90 decreased the expression level of two model Hsp90 clients, glucocorticoid receptor (GR) and v-src kinase. Using MG132, we found that GR was rapidly destabilized in a proteasome-dependent fashion. These findings provide evidence that the binding of E3 ligases to Hsp90 may serve a quality control function fundamental to eukaryotes.

biochemistry↗

bioRxiv2023

Contributions of hyperactive mutations in Mpro from SARS-CoV-2 to drug resistance

The appearance and spread of mutations that cause drug resistance in rapidly evolving diseases, including infections by SARS-CoV-2 virus, are major concerns for human health. Many drugs target enzymes, and resistance-conferring mutations impact inhibitor binding and/or enzyme activity. Nirmatrelvir, the most widely used inhibitor currently used to treat SARS-CoV-2 infections, targets the main protease (Mpro) preventing it from processing the viral polyprotein into active subunits. Our previous work systematically analyzed resistance mutations in Mpro that reduce binding to inhibitors; here we investigate mutations that affect enzyme function. Hyperactive mutations that increase Mpro activity can contribute to drug resistance but had not been thoroughly studied. To explore how hyperactive mutations contribute to resistance, we comprehensively assessed how all possible individual mutations in Mpro affect enzyme function using a mutational scanning approach with a FRET-based yeast readout. We identified hundreds of mutations that significantly increased Mpro activity. Hyperactive mutations occurred both proximal and distal to the active site, consistent with protein stability and/or dynamics impacting activity. Hyperactive mutations were observed three times more than mutations which reduced apparent binding to nirmatrelvir in recent studies of laboratory grown viruses selected for drug resistance. Hyperactive mutations were also about three times more prevalent than nirmatrelvir-binding mutations in sequenced isolates from circulating SARS-CoV-2. Our findings indicate that hyperactive mutations are likely to contribute to the natural evolution of drug resistance in Mpro and provide a comprehensive list for future surveillance efforts.

biochemistry↗

bioRxiv2023

High quality genome assemblies reveal evolutionary dynamics of repetitive DNA and structural rearrangements in the Drosophila virilis sub-group

High-quality genome assemblies across a range of non-traditional model organisms can accelerate the discovery of novel aspects of genome evolution. The Drosophila virilis group has several attributes that distinguish it from more highly studied species in the Drosophila genus, such as an unusual abundance of repetitive elements and extensive karyotype evolution, in addition to being an attractive model for speciation genetics. Here we used long-read sequencing to assemble five genomes of three virilis group species and characterized sequence and structural divergence and repetitive DNA evolution. We find that our contiguous genome assemblies allow characterization of chromosomal arrangements with ease and can facilitate analysis of inversion breakpoints. We also leverage a small panel of resequenced strains to explore the genomic pattern of divergence and polymorphism in this species and show that known demographic histories largely predicts the extent of genome-wide segregating polymorphism. We further find that a neo-X chromosome in D. americana displays X-like levels of nucleotide diversity. We also found that unusual repetitive elements were responsible for much of the divergence in genome composition among species. Helitron-derived tandem repeats tripled in abundance on the Y chromosome in D. americana compared to D. novamexicana, accounting for most of the difference in repeat content between these sister species. Repeats with characteristics of both transposable elements and satellite DNAs expanded by three-fold, mostly in euchromatin, in both D. americana and D. novamexicana compared to D. virilis. Our results represent a major advance in our understanding of genome biology in this emerging model clade. Significance statementThe Drosophila virilis sub-group is an emerging model with an enticing combination of attributes, including abundant and diverse repetitive DNA content, structural rearrangements, and hybridization capability. The lack of high-quality genome assemblies for this group have prevented detailed understanding of genome evolution. Here, we present five new long-read genome assemblies of three virilis sub-group species along with analyses of structural variants, polymorphisms, repetitive DNAs, and Y chromosome genes and repeats. We find that the expansion and mobilization of non-canonical repetitive elements accounts for most of the divergence in assembled genome sequence between these species, with an especially striking takeover of the Y chromosome by a single type of element in one of the three species. Overall, our study positions the virilis sub-group as a model for a variety of future studies.

genomics↗

bioRxiv2023

Systematic analyses of the resistance potential of drugs targeting SARS-CoV-2 main protease

Drugs that target the main protease (Mpro) of SARS-CoV-2 are effective therapeutics that have entered clinical use. Wide-scale use of these drugs will apply selection pressure for the evolution of resistance mutations. To understand resistance potential in Mpro, we performed comprehensive surveys of amino acid changes that can cause resistance in a yeast screen to nirmatrelvir (contained in the drug Paxlovid), and ensitrelvir (Xocova) that is currently in phase III trials. The most impactful resistance mutation (E166V) recently reported in multiple viral passaging studies with nirmatrelvir showed the strongest drug resistance score for nirmatrelvir, while P168R had the strongest resistance score for ensitrelvir. Using a systematic approach to assess potential drug resistance, we identified 142 resistance mutations for nirmatrelvir and 177 for ensitrelvir. Among these mutations, 99 caused apparent resistance to both inhibitors, suggesting a strong likelihood for the evolution of cross-resistance. Many mutations that exhibited inhibitor-specific resistance were consistent with distinct ways that each inhibitor protrudes beyond the substrate envelope. In addition, mutations with strong drug resistance scores tended to have reduced function. Our results indicate that strong pressure from nirmatrelvir or ensitrelvir will select for multiple distinct resistant lineages that will include both primary resistance mutations that weaken interactions with drug while decreasing enzyme function and secondary mutations that increase enzyme activity. The comprehensive identification of resistance mutations enables the design of inhibitors with reduced potential of developing resistance and aids in the surveillance of drug resistance in circulating viral populations.

molecular biology↗

bioRxiv2022

Complete mutational mapping of a GTPase switch in vivo reveals novel allosteric regulation

Allosteric regulation is central to protein function in cellular networks1. However, despite technological advances2,3 most studies of allosteric effects on function are conducted in heterologous environments2,4,5, limiting the discovery of allosteric mechanisms that rely on endogenous binding partners or posttranslational modifications to modulate activity. Here we report an approach that enables probing of new sites of allosteric regulation at residue-level resolution in essential eukaryotic proteins in their native biological context by comprehensive mutational scanning. We apply our approach to the central GTPase Gsp1/Ran. GTPases are highly regulated molecular switches that control signaling, with switching occurring via catalyzed GTP hydrolysis and nucleotide exchange. We find that 28% of 4,315 assayed mutations in Gsp1/Ran are highly deleterious, showing a toxic response identified by our assay as gain-of-function (GOF). Remarkably, a third of all positions enriched for GOF mutations (20/60) are outside the GTPase active site. Kinetic analysis shows that these distal sites are allosterically coupled to the active site, including a novel cluster of sites that alter the nucleotide preference of Gsp1 from GDP to GTP. We describe multiple distinct mechanisms by which allosteric mutations alter Gsp1/Ran cellular function by modulating GTPase switching. Our systematic discovery of new regulatory sites provides a functional map relevant to other GTPases such as Ras that could be exploited for targeting and reprogramming critical biological processes.

biophysics↗

bioRxiv2022

Comprehensive fitness landscape of SARS-CoV-2 Mpro reveals insights into viral resistance mechanisms

With the continual evolution of new strains of SARS-CoV-2 that are more virulent, transmissible, and able to evade current vaccines, there is an urgent need for effective anti-viral drugs. SARS-CoV-2 main protease (Mpro) is a leading target for drug design due to its conserved and indispensable role in the viral life cycle. Drugs targeting Mpro appear promising but will elicit selection pressure for resistance. To understand resistance potential in Mpro, we performed a comprehensive mutational scan of the protease that analyzed the function of all possible single amino acid changes. We developed three separate high-throughput assays of Mpro function in yeast, based on either the ability of Mpro variants to cleave at a defined cut-site or on the toxicity of their expression to yeast. We used deep sequencing to quantify the functional effects of each variant in each screen. The protein fitness landscapes from all three screens were strongly correlated, indicating that they captured the biophysical properties critical to Mpro function. The fitness landscapes revealed a non-active site location on the surface that is extremely sensitive to mutation making it a favorable location to target with inhibitors. In addition, we found a network of critical amino acids that physically bridge the two active sites of the Mpro dimer. The clinical variants of Mpro were predominantly functional in our screens, indicating that Mpro is under strong selection pressure in the human population. Our results provide predictions of mutations that will be readily accessible to Mpro evolution and that are likely to contribute to drug resistance. This complete mutational guide of Mpro can be used in the design of inhibitors with reduced potential of evolving viral resistance.

molecular biology↗

bioRxiv2022

Genome assembly, structural variants, and genetic differentiation between Lake Whitefish young species pairs (Coregonus sp.) with long and short reads

Nascent pairs of ecologically differentiated species offer an opportunity to get a better glimpse at the genetic architecture of speciation. Of particular interest is our recent ability to consider a wider range of genomic variants, not only single-nucleotide polymorphisms (SNPs), thanks to long-read sequencing technology. We can now identify structural variants (SVs) like insertions, deletions, and other rearrangements, allowing further insights into the genetic architecture of speciation and how different types of variants are involved in species differentiation. Here, we investigated genomic patterns of differentiation between sympatric species pairs (Dwarf and Normal) belonging to the Lake Whitefish (Coregonus clupeaformis) species complex. We assembled the first reference genomes for both C. clupeaformis sp. Normal and C. clupeaformis sp. Dwarf, annotated the transposable elements, and analysed the genomes in the light of related coregonid species. Next, we used a combination of long-read and short-read sequencing to characterize SVs and genotype them at population-scale using genome-graph approaches, showing that SVs cover five times more of the genome than SNPs. We then integrated both SNPs and SVs to investigate the genetic architecture of species differentiation in two different lakes and highlighted an excess of shared outliers of differentiation. In particular, a large fraction of SVs differentiating the two species correspond to insertions or deletions of transposable elements (TEs), suggesting that TE accumulation may represent a key component of genetic divergence between the Dwarf and Normal species. Altogether, our results suggest that SVs may play an important role in speciation and that, by combining second and third generation sequencing, we now have the ability to integrate SVs into speciation genomics.

evolutionary biology↗

bioRxiv2021

Multiple recent sex chromosome fusions in Drosophila virilis associated with elevated satellite DNA abundance

The karyotype, or number and arrangement of chromosomes, has varying levels of stability across both evolution and disease. Karyotype changes often originate from DNA breaks near the centromeres of chromosomes, which generally contain long arrays of tandem repeats or satellite DNA. Drosophila virilis possesses among the highest relative satellite abundances of studied species, with almost half its genome composed of three related 7bp satellites. We discovered a strain of D. virilis that we infer recently underwent three independent chromosome fusion events involving the X and Y chromosomes, in addition to one subsequent fission event. Here we isolate, characterize and propose a timeline for the chromosome fusions in this strain which we believe demonstrates a remarkable karyotype instability. We discovered that one of the substrains with an X-autosome fusion has a X-to-Y chromosome nondisjunction rate 20x higher than the D. virilis reference strain (21% vs. 1%). Finally, we found an overall higher rate of DNA breakage in the substrain with higher satellite DNA compared to a genetically similar substrain with less satellite DNA. This suggests satellite DNA abundance may play a role in the risk of genome instability. Overall, we introduce a novel system consisting of a single strain with four different karyotypes, which we believe will be useful for future studies of genome instability, centromere function, and sex chromosome evolution.

evolutionary biology↗

bioRxiv2021

Copy number evolution in simple and complex tandem repeats across the C57BL/6 and C57BL/10 inbred mouse lines

Simple sequence tandem repeats are among the most rapidly evolving compartments of the genome. Some repeat expansions are associated with mammalian disease or meiotic segregation distortion, yet the rates of copy number change across generations are not well known. Here, we use 14 distinct sub-lineages of the C57BL/6 and C57BL/10 inbred mouse strains, which have been evolving independently over about 300 generations, to estimate the rates of copy number changes in genome-wide tandem repeats. Rates of change varied across simple repeats and across lines. Notably, CAG, whose expansions in coding regions are associated with many neurological and other genetic disorders, was highly stable in copy number, likely indicating purifying selection. Rates of change were generally positively correlated with copy number, but the direction and magnitude of changes varied across lines. Some mouse lines experienced consistent losses or gains across most genome-wide simple repeats, but this did not correlate with copy number changes in complex repeats. Rates of copy number change were similar between simple repeats and the much more abundant complex repeats once they were normalized by copy number. Finally, the Y-specific centromeric repeat had a 4-fold higher rate of change than the homologous centromeric repeat on other chromosomes. Structural differences in satellite complexity, or restriction to the Y chromosome and the elevated mutation rate of the male germline, may explain the higher rate of change. Overall, our work underscores the mutational fluidity of long tandem arrays of repeats, and the correlations and constraints between genome-wide tandem repeats which suggest that turnover is not a completely neutral process.

evolutionary biology↗

bioRxiv2019

RepeatModeler2: automated genomic discovery of transposable element families

The accelerating pace of genome sequencing throughout the tree of life is driving the need for improved unsupervised annotation of genome components such as transposable elements (TEs). Because the types and sequences of TEs are highly variable across species, automated TE discovery and annotation are challenging and time-consuming tasks. A critical first step is the de novo identification and accurate compilation of sequence models representing all the unique TE families dispersed in the genome. Here we introduce RepeatModeler2, a new pipeline that greatly facilitates this process. This new program brings substantial improvements over the original version of RepeatModeler, one of the most widely used tools for TE discovery. In particular, this version incorporates a module for structural discovery of complete LTR retroelements, which are widespread in eukaryotic genomes but recalcitrant to automated identification because of their size and sequence complexity. We benchmarked RepeatModeler2 on three model species with diverse TE landscapes and high-quality, manually curated TE libraries: Drosophila melanogaster (fruit fly), Danio rerio (zebrafish), and Oryza sativa (rice). In these three species, RepeatModeler2 identified approximately three times more consensus sequences matching with >95% sequence identity and sequence coverage to the manually curated sequences than the original RepeatModeler. As expected, the greatest improvement is for LTR retroelements. The program had an extremely low false positive rate when applied to simulated genomes devoid of TEs. Thus, RepeatModeler2 represents a valuable addition to the genome annotation toolkit that will enhance the identification and study of TEs in eukaryotic genome sequences. RepeatModeler2 is available as source code or a containerized package under an open license (https://github.com/Dfam-consortium/RepeatModeler, https://github.com/Dfam-consortium/TETools). SignificanceGenome sequences are being produced for more and more eukaryotic species. The bulk of these genomes is composed of parasitic, self-mobilizing transposable elements (TEs) that play important roles in organismal evolution. Thus there is a pressing need for developing software that can accurately identify the diverse set of TEs dispersed in genome sequences. Here we introduce RepeatModeler2, an easy-to-use package for the curation of reference TE libraries which can be applied to any eukaryotic species. Through several major improvements over the previous version, RepeatModeler2 is able to produce libraries that recapitulate the known composition of three model species with some of the most complex TE landscapes. Thus RepeatModeler2 will greatly enhance the discovery and annotation of TEs in genome sequences.

genomics↗

bioRxiv2019

Investigating the influence of environment on the evolution of Hsp90 using comprehensive fitness maps

Gene-environment interactions have long been theorized to influence molecular evolution. However, the environmental dependence of most mutations remains unknown. Using deep mutational scanning, we engineered yeast with all 44,604 single codon changes encoding 14,160 amino acid variants in Hsp90 and quantified growth effects under standard conditions and under five stress conditions. To our knowledge these are the largest determined comprehensive fitness maps of point mutants. The growth of many variants differed between conditions, indicating that environment can have a large impact on Hsp90 evolution. Multiple variants provided growth advantages under individual conditions, however these variants tended to exhibit growth defects in other environments. The diversity of Hsp90 sequences observed in extant eukaryotes preferentially contains variants that supported robust growth under all tested conditions. Rather than favoring substitutions in individual conditions, the long-term selective pressure on Hsp90 may have been that of fluctuating environments, leading to robustness under a variety of conditions.

evolutionary biology↗

bioRxiv2019

Evolutionary dynamics of abundant 7 bp satellites in the genome of Drosophila virilis

The factors that drive the rapid changes in satellite DNA genomic composition we see in eukaryotes are not well understood. Drosophila virilis has one of the highest relative amounts of simple satellites of any organism that has been studied, with an estimated >40% of its genome composed of a few related 7 bp satellites. Here we use D. virilis as a model to understand technical biases affecting satellite sequencing and the evolutionary processes that drive satellite composition. By analyzing sequencing data from Illumina, PacBio, and Nanopore platforms, we identify platform-specific biases and suggest best practices for accurate characterization of satellites by sequencing. We use comparative genomics and cytogenetics to demonstrate that the highly abundant satellite family arose from a related satellite in the branch leading to the virilis phylad 4.5 - 11 million years ago before exploding in abundance in some species of the clade. The most abundant satellite is conserved in sequence and location in the pericentromeric region but has diverged widely in abundance among species, whereas the satellites nearest the centromere are rapidly turning over in sequence composition. By analyzing multiple strains of D. virilis, we saw that one centromere-proximal satellite is increasing in abundance along a geographical gradient while the other is contracting in an anti-correlated manner, suggesting ongoing conflicts at the centromere. In conclusion, we illuminate several key attributes of satellite evolutionary dynamics that we hypothesize to be driven by processes like selection, meiotic drive, and constraints on satellite sequence and abundance.

genomics↗

bioRxiv2017

Pervasive contingency and entrenchment in a billion years of Hsp90 evolution

Although many potential mutations within proteins modulate each others effects1-4, the extent to which these epistatic interactions influenced the fitness effects of the sequence changes that actually occurred during historical evolution - and thus made molecular evolution contingent and irreversible - is controversial5-16. We addressed this question directly by precisely measuring the fitness effects in both extant and reconstructed ancestral sequence contexts of all historical amino acid substitutions that occurred during the billion-year evolutionary history of the heat shock protein 90 (Hsp90) ATPase domain beginning from a deep eukaryotic ancestor to modern Saccharomyces cerevisiae. We find a pervasive influence of epistasis on historical sequence evolution: the majority of the 98 derived states that evolved during history were deleterious at times before they happened, and the vast majority also became subsequently entrenched6, with the ancestral state becoming deleterious after its substitution. A few of these epistatic interactions were of massive fitness consequence, but the majority were of small but evolutionarily relevant effect size. We find that both the large- and small-effect epistasis were largely caused by specific interactions among sites rather than a general permissive or restrictive effect17. Our results highlight how epistasis continually opens and closes windows of mutational opportunity over evolutionary timescales, producing histories and biological states that reflect, in significant part, the transient internal constraints imposed by a proteins fleeting sequence states.

evolutionary biology↗

bioRxiv2017

Selection constrains high rates of satellite DNA mutation in Daphnia pulex

A long-standing evolutionary puzzle is that all eukaryotic genomes contain large amounts of tandemly-repeated satellite DNA whose composition varies greatly among even closely related species. To elucidate the evolutionary forces governing satellite dynamics, quantification of the rates and patterns of mutations in satellite DNA copy number and tests of its selective neutrality are necessary. Here we used whole-genome sequences of 28 mutation accumulation (MA) lines of Daphnia pulex in addition to six isolates from a non-MA population originating from the same progenitor to both estimate mutation rates of abundances of satellite sequences and evaluate the selective regime acting upon them. We found that mutation rates of individual satellite sequence \"kmers\" were both high and highly variable, ranging from additions/deletions of 0.29 - 105 copies per generation (reflecting changes of 0.12 - 0.80 percent per generation). Our results also provide evidence that new kmer sequences are often formed from existing ones. The non-MA population isolates showed a signal of either purifying or stabilizing selection, with 33 % lower variation in kmer abundance on average than the MA lines, although the level of selective constraint was not evenly distributed across all kmers. The changes between many pairs of kmers were correlated, and the pattern of correlations was significantly different between the MA lines and the non-MA population. Our study demonstrates that kmer sequences can experience extremely rapid evolution in abundance, which can lead to high levels of divergence in genome-wide satellite DNA composition between closely related species.

evolutionary biology↗