Biology subjects

Huynen, M. A.

Publications and source records attributed to Huynen, M. A..

16 recordsLinked to original sources

bioRxiv2025

A conserved epilepsy-associated gene co-expression module identifies increased metabolic rate as a shared pathomechanism

Epilepsy is a mechanistically complex, incompletely understood neurological disorder. To uncover novel converging mechanisms in epilepsy, we used Drosophila whole-brain single-cell RNA-sequencing to refine and characterize a previously proposed human epilepsy-associated gene co-expression network (GCN). We identified a conserved co-expressed module of 26 genes, which comprises fly orthologs of 13 epilepsy-associated genes and integrates synaptic and metabolic functions. Over one-third of the Drosophila pan-neuronal knockdown models targeting this module exhibited altered seizure-like behaviors in response to mechanical or heat stress. These recapitulated seizures associated with four epilepsy-associated genes, identified two novel epilepsy candidate genes, and three genes knockdown of which conferred seizure protection. Most knockdown models with altered seizure susceptibility showed changes in metabolic rate and levels of phosphorylated adenosine monophosphate-activated protein kinase (AMPK), a key regulator of cellular energy homeostasis. Enhancing AMPK activity increased seizure resistance in a dose-dependent manner. Our findings show that Drosophila single-cell expression data and behavior can aid functional validation of human GCNs and highlight a role for metabolism in modifying seizure susceptibility. SUMMARY STATEMENTIntegrating Drosophila single-cell RNA-sequencing data with seizure-like behavior and metabolic rate assays, we functionally characterized a human epilepsy-associated gene network, revealing metabolic regulation as a critical factor underlying seizure susceptibilities.

neuroscience↗

bioRxiv2023

Temporal composition of the cervicovaginal microbiome associates with hrHPV infection outcomes in a longitudinal study

Persistent infections with high-risk human papillomavirus (hrHPV) can cause cervical squamous intraepithelial lesions (SIL) that may progress to cancer. The cervicovaginal microbiome (CVM) correlates with SIL, but the temporal composition of the CVM after hrHPV infections has not been fully clarified. To determine the association between the CVM composition and infection outcome, we applied high-resolution microbiome profiling using the circular probes-based RNA sequencing technology on a longitudinal cohort of cervical smears obtained from 141 hrHPV DNA-positive women with normal cytology at first visit, of whom 51 were diagnosed by cytology with SIL six months later. Here we show that women with a microbial community characterized by low diversity and high Lactobacillus crispatus abundance exhibit low risk to SIL development at both visits, while women with a microbial community characterized by high diversity and Lactobacillus depletion at first visit have a higher risk of developing SIL. At the level of individual species we observed that an increased abundance for Gardnerella vaginalis and Atopobium vaginae associate with SIL outcomes at both visits. These species together with Dialister micraerophilus showed a moderate discriminatory power for hrHPV infection progression. Our results suggest that the CVM can potentially be used as a biomarker for cervical disease and SIL development after hrHPV infection diagnosis with implications on cervical cancer prevention strategies and treatment of SIL.

microbiology↗

bioRxiv2023

Comparative Clustering (CompaCt) of eukaryote complexomes identifies novel interactions and sheds light on protein complex evolution

Complexome profiling allows large-scale, untargeted, and comprehensive characterization of protein complexes in a biological sample using a combined approach of separating intact protein complexes e.g., by native gel electrophoresis, followed by mass spectrometric analysis of the proteins in the resulting fractions. Over the last decade, its application has resulted in a large collection of complexome profiling datasets. While computational methods have been developed for the analysis of individual datasets, methods for large-scale comparative analysis of complexomes from multiple species are lacking. Here, we present Comparative Clustering (CompaCt), that performs fully automated integrative analysis of complexome profiling data from multiple species, enabling systematic characterization and comparison of complexomes. CompaCt implements a novel method for leveraging orthology in comparative analysis to allow systematic identification of conserved as well as taxon-specific elements of the analyzed complexomes. We applied this method to a collection of 53 complexome profiles spanning the major branches of the eukaryotes. We demonstrate the ability of CompaCt to robustly identify the composition of protein complexes, and show that integrated analysis of multiple datasets improves characterization of complexes from specific complexome profiles when compared to separate analysis. We identified novel candidate interactors and complexes in a number of species from previously analyzed datasets, like the emp24, the V-ATPase and mitochondrial ATP synthase complexes. Lastly, we demonstrate the utility of CompaCt for the automated large-scale characterization of the complexome of the mosquito Anopheles stephensi shedding light on the evolution of metazoan protein complexes. CompaCt is available from https://github.com/cmbi/compact-bio. Author summaryProteins carry out essential functions in the majority of processes in life, often by binding with other proteins to form multiprotein complexes. State of the art experimental techniques such as complexome profiling enable large-scale identification of protein complexes in a biological sample. With the increase in use of this method in recent years these experiments have been performed on a variety of species, of which the results are publicly available. Combining the results from these experiments presents a computational challenge, but could identify novel protein complexes and provide insights into their evolution. Here, we introduce CompaCt as a method to integrate complexome profiles from multiple species enabling automatic large-scale characterization of protein complexes. It identifies commonalities as well as the differences between species. By applying CompaCt to a collection of complexome profiles, we identified candidate complexes and interacting proteins in a number of species that were not detected in previous separate analyses of these datasets. In doing so we shed light on the evolutionary origin of several protein complex members, pinpointed the function of biomedically relevant proteins, whose role was previously unknown, and performed the first investigation of the Anopheles stephensi complexome, a mosquito that transmits the malaria parasite.

bioinformatics↗

bioRxiv2022

Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells

Several haematologic diseases, including malaria, diabetes, and sickle cell anaemia, result in a reduced red blood cell deformability. This deformability can be measured using a microfluidic device with channels of varying width. Nevertheless, it is challenging to algorithmically recognise large numbers of red blood cells and quantify their deformability from image data. Deep learning has become the method of choice to handle noisy and complex image data. However, it requires a significant amount of labelled data to train the neural networks. By creating images of cells and mimicking noise and plasticity in those images, we generate synthetic data to train a network to detect and segment red blood cells from video-recordings, without the need for manually annotated labels. Using this new method, we uncover significant differences between the deformability of RBCs infected with different strains of Plasmodium falciparum, providing clues to the variation in virulence of these strains.

microbiology↗

bioRxiv2022

Uncharacterized protein c17orf80: a novel interactor of human mitochondrial nucleoids

Molecular functions of many human proteins remain unstudied, despite the demonstrated association with diseases or pivotal molecular structures, such as mitochondrial DNA (mtDNA). This small genome is crucial for proper functioning of mitochondria, the energy-converting organelles. In mammals, mtDNA is arranged into macromolecular complexes called nucleoids that serve as functional stations for its maintenance and expression. Here, we aimed to explore an uncharacterized protein c17orf80, which was previously detected close to the nucleoid components by proximity-labelling mass spectrometry. To investigate the subcellular localization and function of c17orf80, we took an advantage of immunofluorescence microscopy, interaction proteomics and several biochemical assays. We demonstrate that c17orf80 is a mitochondrial membrane-associated protein that interacts with nucleoids even when mtDNA replication is inhibited. In addition, we show that c17orf80 is not essential for mtDNA maintenance and mitochondrial gene expression in cultured human cells. These results provide a basis for uncovering the molecular function of c17orf80 and the nature of its association with nucleoids, possibly leading to new insights about mtDNA and its expression.

molecular biology↗

bioRxiv2021

A prioritized and validated resource of mitochondrial proteins in Plasmodium identifies leads to unique biology

Plasmodium species have a single mitochondrion that is essential for their survival and has been successfully targeted by anti-malarial drugs. Most mitochondrial proteins are imported into this organelle and our picture of the Plasmodium mitochondrial proteome remains incomplete. Many data sources contain information about mitochondrial localization, including proteome and gene expression profiles, orthology to mitochondrial proteins from other species, co-evolutionary relationships, and amino acid sequences, each with different coverage and reliability. To obtain a comprehensive, prioritized list of Plasmodium falciparum mitochondrial proteins, we rigorously analyzed and integrated eight datasets using Bayesian statistics into a predictive score per protein for mitochondrial localization. At a corrected false discovery rate of 25%, we identified 445 proteins with a sensitivity of 87% and a specificity of 97%. They include proteins that have not been identified as mitochondrial in other eukaryotes but have characterized homologs in bacteria that are involved in metabolism or translation. Mitochondrial localization of seven Plasmodium berghei orthologs was confirmed by epitope labeling and co-localization with a mitochondrial marker protein. One of these belongs to a newly identified apicomplexan mitochondrial protein family that in P. falciparum has four members. With the experimentally validated mitochondrial proteins and the complete ranked P. falciparum proteome, which we have named PlasmoMitoCarta, we present a resource to study unique proteins of Plasmodium mitochondria.

bioinformatics↗

bioRxiv2020

Stochasticity explains differences in the number of de novo mutations between families

The number of de novo mutations (DNMs) in the human germline is correlated with parental age at conception, but this explains only part of the observed variation. We investigated whether there is a family-specific contribution to the number of DNMs in offspring. The analysis of DNMs in 111 dizygotic twin pairs did not identify a significant family-specific contribution. This result was corroborated by comparing DNMs of 1669 siblings to those of age-matched unrelated offspring. In addition, by modeling DNM data from 1714 multi-offspring families we estimated that the family specific contribution explains approximately 5.2% of the variation in DNM number. Furthermore, we found no significant difference between the observed number of DNMs and those based on a stochastic Poisson process. We conclude that a family-specific contribution to DNMs is small and that stochasticity explains a large proportion of variation in DNM counts.

genomics↗

bioRxiv2020

Novel functional insights from the Plasmodium falciparum sporozoite-specific proteome by probabilistic integration of 26 studies

Plasmodium species, the causative agent of malaria, have a complex life cycle involving two hosts. The sporozoite life stage is characterized by an extended phase in the mosquito salivary glands followed by free movement and rapid invasion of hepatocytes in the human host. This transmission stage has been the subject of many transcriptomics and proteomics studies and is also targeted by the most advanced malaria vaccine. We applied Bayesian data integration to determine which proteins are not only present in sporozoites but are also specific to that stage. Transcriptomic and proteomic Plasmodium data sets from 26 studies were weighted for how representative they are for sporozoites, based on a carefully assembled gold standard for Plasmodium falciparum (Pf) proteins known to be present or absent during the sporozoite life stage. Of 5418 Pf genes for which expression data were available at the RNA level or at the protein level, 1105 were identified as enriched in sporozoites and 90 specific to them. We show that Pf sporozoites are enriched for proteins involved in type II fatty acid synthesis in the apicoplast and GPI anchor synthesis, but otherwise appear metabolically relatively inactive, in the salivary glands of mosquitos. Newly annotated hypothetical sporozoite-specific and sporozoite-enriched proteins highlight sporozoite specific functions. They include PF3D7_0104100 that we identified to be homologous to the prominin family, which in human has been related to a quiescent state of cancer cells. We document high levels of genetic variability for sporozoite proteins, specifically for sporozoite-specific proteins that elicit antibodies in the human host. Nevertheless, we can identify nine relatively well-conserved sporozoite proteins that elicit antibodies and that together can serve as markers for previous exposure. Our understanding of sporozoite biology benefits from identifying key pathways that are enriched during this life stage. This work can guide studies of molecular mechanisms underlying sporozoite biology and potential well-conserved targets for marker and drug development. Author SummaryWhen a person is bitten by an infectious malaria mosquito, sporozoites are injected into the skin with mosquito saliva. These sporozoites then travel to the liver, invade hepatocytes and multiply before the onset of the symptom-causing blood stage of malaria. By integrating published data, we contrast sporozoite protein expression with other life stages to filter out the unique features of sporozoites that help us understand this stage. We used a "guideline" that we derived from the literature on individual proteins so that we knew which proteins should be present or absent at the sporozoite stage, allowing us to weigh 26 data sets for their relevance to sporozoites. Among the newly discovered sporozoite-specific genes are candidates for fatty acid synthesis while others might play a role keeping the sporozoites in an inactive state in the mosquito salivary glands. Furthermore, we show that most sporozoite-specific proteins are genetically more variable than non-sporozoite proteins. We identify a set of conserved sporozoite proteins against which antibodies can serve as markers of recent exposure to sporozoites or that can serve as vaccine candidates. Our predictions of sporozoite-specific proteins and the assignment of previously unknown functions give new insights into the biology of this life stage.

microbiology↗

bioRxiv2020

Genome-wide analysis in Escherichia coli unravels an unprecedented level of genetic homoplasy associated with cefotaxime resistance.

ABSTRACTCefotaxime (CTX) is a commonly used third-generation cephalosporin (3GC) to treat infections caused by Escherichia coli. Two genetic mechanisms have been associated with 3GC resistance in E. coli. The first is the conjugative transfer of a plasmid harboring antibiotic resistance genes. The second is the introduction of mutations in the promoter region of the ampC β-lactamase gene that cause chromosomal-encoded β-lactamase hyperproduction. A wide variety of promoter mutations related to AmpC hyperproduction have been described. However, their link to a specific 3GC such as CTX resistance has not been reported. Here, we measured CTX MICs in 172 cefoxitin resistant E. coli isolates and performed genome-wide analysis of homoplastic mutations associated with CTX resistance by comparing Illumina whole-genome sequencing data of all isolates to a PacBio tailored-made reference chromosome. We mapped the mutations on the reference chromosome and determined their occurrence in the phylogeny, revealing extreme homoplasy at the −42 position of the ampC promoter. The 24 occurrences of a “T” at the −42 position rather than the wild type “C”, resulted from 18 independent C>T mutations in 5 phylogroups. The −42 C>T mutation was only observed in E. coli lacking a plasmid-encoded ampC gene. The association of the −42 C>T mutation with CTX resistance was confirmed to be significant (FDR < 0.05). To conclude, genome-wide analysis of homoplasy in combination with CTX resistance identifies the −42 C>T mutation of the ampC promotor as significantly associated with CTX resistance and underline the role of recurrent mutations in the spread of antibiotics resistance.Impact Statement In the past decades, the worldwide spread of extended spectrum beta-lactamases (ESBLs) has led to a substantial increase in the prevalence of resistant common pathogens, thereby restricting available treatment options. Although acquired resistance genes, e.g. ESBLs, get most attention, chromosome-encoded resistance mechanisms may play an important role as well. In E. coli chromosome-encoded β-lactam resistance can be caused by alterations in the promoter region of the ampC gene. To improve our understanding of how frequently these alterations occur, a comprehensive interpretation of the evolution of these mutations is essential. This study is the first to apply genome-wide homoplasy analysis to better perceive adaptation of the E. coli genome to antibiotics. Thereby, this study grants insights into how chromosomal-encoded antibiotic resistance evolves and, by combining genome-wide association studies with homoplasy analyses, provides potential strategies for future association studies into the causes of antibiotics resistance.Data summary All data is available under BioProject: PRJNA592140. Raw Illumina sequencing data and metadata of all 171 E. coli isolates used in this study is available from the Sequence Read Archive database under accession no. SAMN15052485 to SAMN15052655. Full reference chromosome of ampC_0069 is available via GenBank accession no. CP046396.1 and NCBI Reference Sequence: NZ_CP046396.1.Competing Interest StatementThe authors have declared no competing interest.Abbreviations3GCthird-generation cephalosporincampCchromosomal-mediated ampCCATcomputerized adaptive testingCTXcefotaximeDNADeoxyribonucleic acidEHECenterohemorrhagic Escherichia ColiESBLextended-spectrum β-lactamasesFOXcefoxitingDNAgenomic DNAMICsminimal inhibitory concentrationsMLSTmultilocus sequence typingpampCplasmid-mediated ampCPGpeptidoglycanqRT-PCRquantitative reverse transciptase polymerase chain reactionSMRTSingle-molecule real-time sequencingSNPsingle-nucleotide polymorphismSTsequence typeUPECuropathogene Escherichia ColiWGSwhole genome sequencingView Full Text

microbiology↗

bioRxiv2019

TMEM70 is an assembly factor of mitochondrial complexes I and V

Protein complexes from the oxidative phosphorylation (OXPHOS) system are assembled with the help of proteins called assembly factors. We here delineate the function of the inner mitochondrial membrane protein TMEM70, in which mutations have been linked to OXPHOS deficiencies, using a combination of BioID, complexome profiling and coevolution analyses. TMEM70 interacts with complex I and V and for both complexes the loss of TMEM70 results in the accumulation of an assembly intermediate followed by a reduction of the next assembly intermediate in the pathway. This indicates that TMEM70 has a role in the stability of membrane-bound subassemblies or in the membrane recruitment of subunits into the forming complex. Independent evidence for a role of TMEM70 in OXPHOS assembly comes from evolutionary analyses. The TMEM70/TMEM186/TMEM223 protein family, of which we show that TMEM186 and TMEM223 are mitochondrial in human as well, only occurs in species with OXPHOS complexes. Our results validate the use of combining complexomics with BioID and evolutionary analyses in elucidating congenital defects in protein complex assembly.

cell biology↗

bioRxiv2019

Contribution of Lateral Gene Transfer to the evolution of the eukaryotic fungus Piromyces sp. E2: Massive bacterial transfer of genes involved in carbohydrate metabolism

Lateral gene transfer (also known as Horizontal Gene Transfer) is the transmission of genetic material between phylogenetically unrelated organisms. Previous studies have been showing the importance of this process for the evolution of unicellular eukaryotes, particularly those living in highly competitive niches such as the herbivore gut.\n\nPyromices sp. is an obligate anaerobic chytrid fungus that grows as a commensal organism in the gut of mammalian herbivores, possessing hydrogenosomes instead of mitochondria, producing hydrogen, and playing a key role in the digestion of plant cell wall material. These particular features make its genome particularly valuable for the study of the evolution and adaptation of unicellular eukaryotes to the cellulose-rich and anaerobic environment of the herbivore gut.\n\nHere we performed a detailed large-scale lateral gene transfer (LGT) analysis of the genome from the chytrid fungus Piromyces sp. strain E2. For this we set out to elucidate (i) which proteins were likely transferred to its genome, (ii) from which bacterial donor species, and (iii) which functions were laterally acquired. Using sequence comparison and phylogenetic analyses, we have found 704 LGT candidates, representing nearly 5% of the Piromyces sp. orfeome (i.e. the complete set of open reading frames), mostly transferred from Firmicutes, Fibrobacteres, Bacteroidetes and Proteobacteria, closely following the microbial abundance reported for the herbivore gut. With respect to the functional analysis, the LGT candidate set includes proteins from 250 different orthologous groups, with a clear over-representation of genes belonging to the Carbohydrate Transport and Metabolism functional class. Finally, we performed a graph density analysis on the metabolic pathways formed by the LGT candidate proteins, showing that the acquired functions fit cohesively within Piromyces metabolic network, and are not randomly distributed within the global KEGG metabolic map. Overall, our study suggests that Piromyces adaptation to living anaerobically and in the a cellulose-rich environment has been undoubtedly fostered by the acquisition of foreign genes from bacterial neighbors, showing the global importance of such evolutionary mechanisms for successful eukaryotic thriving in such competitive environments.

evolutionary biology↗

bioRxiv2018

Targeted RNA NextGenSeq profiling in oncology using single molecule molecular inversion probes.

Hundreds of biology-based precision drugs are available that neutralize aberrant molecular pathways in cancer. Molecular heterogeneity and the lack of reliable companion diagnostic biomarkers for many drugs makes targeted treatment of cancer inaccurate for many individuals, leading to futile overtreatment. To acquire a comprehensive insight in aberrant actionable biological pathways in individual cancers we applied a cost-effective targeted RNA next generation sequencing (NGS) technique. The test allows NGS-based measurement of transcript levels and splice variants of hundreds of genes with established roles in the biological behavior in many cancer types. We here present proof of concept that the technique generates a correct molecular diagnosis and a prognosis for glioma patients. The test not only confirmed known brain cancer-associated molecular aberrations but also identified aberrant expression levels of actionable genes and mutations that are associated with other cancer types. Targeted RNA-NGS is therefore a highly attractive method to guide precision therapy for the individual patient based on pathway analysis.

cancer biology↗

bioRxiv2018

The Tudor protein Veneno assembles the ping-pong amplification complex that produces viral piRNAs in Aedes mosquitoes

TUDOR-domain containing proteins facilitate PIWI interacting (pi)RNA biogenesis in Drosophila melanogaster and other model organisms. In Aedes aegypti mosquitoes, a somatically active piRNA pathway generates piRNAs from viral RNA during acute infection with cytoplasmic RNA viruses. Viral piRNA biogenesis requires ping-pong amplification by the PIWI proteins Ago3 and Piwi5. We hypothesized that Tudor proteins are required for viral piRNA production and performed a knockdown screen targeting all Ae. aegypti Tudor genes. Knockdown of several Tudor genes resulted in reduced viral piRNA levels, with silencing of AAEL012437 having the strongest effect. This protein, which we named Veneno, associates directly with Ago3 in an sDMA-dependent manner and localizes in cytoplasmic foci reminiscent of piRNA processing granules of Drosophila. Veneno-interactome analyses reveal a network of co-factors including the orthologs of the Drosophila piRNA pathway components Vasa and Yb, which in turn interacts directly with Piwi5. We propose that Veneno assembles a multi-protein complex for ping-pong dependent piRNA production from exogenous viral RNA.

microbiology↗

bioRxiv2017

Probabilistic data integration identifies reliable gametocyte-specific proteins and transcripts in malaria parasites

Plasmodium gametocytes are the sexual forms of the malaria parasite essential for transmission to mosquitoes. To better understand how gametocytes differ from asexual blood-stage parasites, we performed a systematic analysis of available omics data for P. falciparum and other Plasmodium species. 18 transcriptomic and proteomic data sets were evaluated for the presence of curated \"gold standards\" of 41 gametocyte-specific versus 46 non-gametocyte genes and integrated using Bayesian probabilities, resulting in gametocyte-specificity scores for all P. falciparum genes.\n\nTo illustrate the utility of the gametocyte score, we explored newly predicted gametocyte-specific genes as potential biomarkers of gametocyte carriage and exposure. We analyzed the humoral immune response in field samples against 30 novel gametocyte-specific antigens and found five antigens to be differentially recognized by gametocyte carriers as compared to malaria-infected individuals without detectable gametocytes. We also validated the gametocyte-specificity of 15 identified gametocyte transcripts on culture material and samples from naturally infected individuals, resulting in eight transcripts that were >1000-fold higher expressed in gametocytes compared to asexual parasites and whose transcript abundance allowed gametocyte detection in naturally infected individuals. Our integrated genome-wide gametocyte-specificity scores provide a comprehensive resource to identify targets and monitor P. falciparum gametocytemia.

microbiology↗

bioRxiv2017

Genome-scale detection of positive selection in 9 primates predicts human-virus evolutionary conflicts

Hotspots of rapid genome evolution hold clues about human adaptation. Here, we present a comparative analysis of nine whole-genome sequenced primates to identify high-confidence targets of positive selection. We find strong statistical evidence for positive selection acting on 331 protein-coding genes (3%), pinpointing 934 adaptively evolving codons (0.014%). Our stringent procedure and quality control of alignments and evolutionary inferences reveal substantial artefacts (20% of initial predictions) that have inflated previous estimates of positive selection, the large majority relating to transcript definitions (61%) or gene models (38%). Our final set of 331 positively selected genes (PSG) are strongly enriched for innate and adaptive immune functions, secreted and cell membrane proteins (e.g. pattern recognition, complement, cytokine pathways, defensins, immune receptors, MHC, Siglecs). We also find evidence for positive selection in reproduction, chromosome segregation and meiosis (e.g. centromere-associated CENPO, CENPT), apolipoproteins, smell/taste receptors, and proteins interacting with mitochondrial-encoded molecules. Focusing on the virus-host interaction, we retrieve most evolutionary conflicts known to influence antiviral activity (e.g. TRIM5, MAVS, SAMHD1, tetherin) and predict 70 novel cases through integration with virus-host interaction data (virus-human PPIs, immune cell expression, infection screens). Protein structure analysis identifies positive selection in the interaction interfaces between viruses and their human cellular receptors (CD4 - HIV; CD46 [MCP] - measles, adenoviruses; CD55 [DAF] - picornaviruses). Finally, the primate PSG consistently show high sequence variation in human exomes, suggesting ongoing evolution. Our curated dataset of positively selected genes and positions, available at http://www.cmbi.umcn.nl/[~]rvdlee/positive_selection/, is a rich source for studying the genetics underlying human (antiviral) phenotypes.

evolutionary biology↗

bioRxiv2017

Regulatory remodeling in the allo-tetraploid frog Xenopus laevis

BackgroundGenome duplication has played a pivotal role in the evolution of many eukaryotic lineages, including the vertebrates. The most recent vertebrate genome duplication is that in Xenopus laevis, resulting from the hybridization of two closely related species about 17 million years ago [1]. However, little is known about the consequences of this duplication at the level of the genome, the epigenome and gene expression.\n\nResultsOf the parental subgenomes, S chromosomes have degraded faster than L chromosomes ever since the genome duplication and until the present day. Deletions appear to have the largest effect on pseudogene formation and loss of regulatory regions. Deleted regions are enriched for long DNA repeats and the flanking regions have high alignment scores, suggesting that non-allelic homologous recombination (NAHR) has played a significant role in the loss of DNA. To assess innovations in the X. laevis subgenomes we examined p300 (Ep300)-bound enhancer peaks that are unique to one subgenome and absent from X. tropicalis. A large majority of new enhancers are comprised of transposable elements. Finally, to dissect early and late events following interspecific hybridization, we examined the epigenome and the enhancer landscape in X. tropicalis x X. laevis hybrid embryos. Strikingly, young X. tropicalis DNA transposons are derepressed and recruit p300 in hybrid embryos.\n\nConclusionsThe results show that erosion of X. laevis genes and functional regulatory elements is associated with repeats and NAHR, and furthermore that young repeats have also contributed to the p300-bound regulatory landscape following hybridization and whole genome duplication.

evolutionary biology↗