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bioRxiv2021

Personalized genome assembly for accurate cancer somatic mutation discovery using cancer-normal paired reference samples

The use of personalized genome assembly as a reference for detecting the full spectrum of somatic events from cancers has long been advocated but never been systematically investigated. Here we address the critical need of assessing the accuracy of somatic mutation detection using personalized genome assembly versus the standard human reference assembly (i.e. GRCh38). We first obtained massive whole genome sequencing data using multiple sequencing technologies, and then performed de novo assembly of the first tumor-normal paired genomes, both nuclear and mitochondrial, derived from the same donor with triple negative breast cancer. Compared to standard human reference assembly, the haplotype phased chromosomal-scale personalized genome was best demonstrated with individual specific haplotypes for some complex regions and medical relevant genes. We then used this well-assembled personalized genome as a reference for read mapping and somatic variant discovery. We showed that the personalized genome assembly results in better alignments of sequencing reads and more accurate somatic mutation calls. Direct comparison of mitochondrial genomes led to discovery of unreported nonsynonymous somatic mutations. Our findings provided a unique resource and proved the necessity of personalized genome assembly as a reference in improving somatic mutation detection at personal genome level not only for breast cancer reference samples, but also potentially for other cancers.

bioinformatics↗

bioRxiv2021

Genomic analysis of family UBA6911 (Group 18 Acidobacteria) expands the metabolic capacities of the phylum and highlights adaptations to terrestrial habitats

Approaches for recovering and analyzing genomes belonging to novel, hitherto unexplored bacterial lineages have provided invaluable insights into the metabolic capabilities and ecological roles of yet-uncultured taxa. The phylum Acidobacteria is one of the most prevalent and ecologically successful lineages on earth yet, currently, multiple lineages within this phylum remain unexplored. Here, we utilize genomes recovered from Zodletone spring, an anaerobic sulfide and sulfur-rich spring in southwestern Oklahoma, as well as from multiple disparate soil and non-soil habitats, to examine the metabolic capabilities and ecological role of members of the family UBA6911 (group18) Acidobacteria. The analyzed genomes clustered into five distinct genera, with genera Gp18_AA60 and QHZH01 recovered from soils, genus Ga0209509 from anaerobic digestors, and genera Ga0212092 and UBA6911 from freshwater habitats. All genomes analyzed suggested that members of Acidobacteria group 18 are metabolically versatile heterotrophs capable of utilizing a wide range of proteins, amino acids, and sugars as carbon sources, possess respiratory and fermentative capacities, and display few auxotrophies. Soil-dwelling genera were characterized by larger genome sizes, higher number of CRISPR loci, an expanded carbohydrate active enzyme (CAZyme) machinery enabling de-branching of specific sugars from polymers, possession of a C1 (methanol and methylamine) degradation machinery, and a sole dependence on aerobic respiration. In contrast, non-soil genomes encoded a more versatile respiratory capacity for oxygen, nitrite, sulfate, trimethylamine N-oxide (TMAO) respiration, as well as the potential for utilizing the Wood Ljungdahl (WL) pathway as an electron sink during heterotrophic growth. Our results not only expand our knowledge of the metabolism of a yet-uncultured bacterial lineage, but also provide interesting clues on how terrestrialization and niche adaptation drives metabolic specialization within the Acidobacteria. ImportanceMembers of the Acidobacteria are important players in global biogeochemical cycles, especially in soils. A wide range of Acidobacterial lineages remain currently unexplored. We present a detailed genomic characterization of genomes belonging to the family UBA6911 (also known as group 18) within the phylum Acidobacteria. The genomes belong to different genera and were obtained from soil (genera Gp18_AA60 and QHZH01), freshwater habitats (genera Ga0212092 and UBA6911), and anaerobic digestor (Genus Ga0209509). While all members of the family shared common metabolic features, e.g. heterotrophic respiratory abilities, broad substrate utilization capacities, and few auxotrophies; distinct differences between soil and non-soil genera were observed. Soil genera were characterized by expanded genomes, higher numbers of CRISPR loci, larger carbohydrate active enzyme (CAZyme) repertoire enabling monomer extractions from polymer side chains, and methylotrophic (methanol and methylamine) degradation capacities. In contrast, non-soil genera encoded more versatile respiratory capacities for utilizing nitrite, sulfate, TMAO, and the WL pathway, in addition to oxygen as electron acceptors. Our results not only broaden our understanding of the metabolic capacities within the Acidobacteria, but also, provide interesting clues on how terrestrialization shaped Acidobacteria evolution and niche adaptation.

microbiology↗

bioRxiv2021

Generation of dynamic three-dimensional genome structure through phase separation of chromatin

Three-dimensional genome structure and dynamics play critical roles in regulating DNA functions. Flexible chromatin structure and movements suggested that the genome is dynamically phase-separated to form A (active) and B (inactive) compartments in interphase nuclei. Here, we examined this hypothesis by developing a polymer model of the whole genome of human cells and assessing the impact of phase separation on genome structure. Upon entry to the G1 phase, the simulated genome expanded according to heterogeneous repulsion among chromatin chains, which moved chromatin heterogeneously, inducing phase separation of chromatin. This repulsion-driven phase separation quantitatively reproduces the experimentally observed chromatin domains, A/B compartments, lamina-associated domains, and nucleolus-associated domains, consistently explaining nuclei of different human cells and predicting their dynamic fluctuations. We propose that phase separation induced by heterogeneous repulsive interactions among chromatin chains largely determines dynamic genome organization. SignificanceDNA functions in living cells are crucially affected by the three-dimensional genome structure and dynamics. We analyzed the whole genome of human cells by developing a polymer model of interphase nuclei. The model revealed the essential importance of the unfolding process of chromosomes from the condensed mitotic state for describing the interphase nuclei; through the unfolding process, heterogeneous repulsive interactions among chromatin chains induced phase separation of chromatin, which quantitatively explains the experimentally observed various genomic data. We can use this model structure as a platform to analyze the relationship among genome structure, dynamics, and functions.

biophysics↗

bioRxiv2021

MOSGA 2: Comparative genomics and validation tools

Due to the highly growing number of available genomic information, the need for accessible and easy-to-use analysis tools is increasing. To facilitate eukaryotic genome annotations, we created MOSGA. In this work, we show how MOSGA 2 is developed by including several advanced analyses for genomic data. Since the genomic data quality greatly impacts the annotation quality, we included multiple tools to validate and ensure high-quality user-submitted genome assemblies. Moreover, thanks to the integration of comparative genomics methods, users can benefit from a broader genomic view by analyzing multiple genomic data sets simultaneously. Further, we demonstrate the new functionalities of MOSGA 2 by different use-cases and practical examples. MOSGA 2 extends the already established application to the quality control of the genomic data and inte-grates and analyzes multiple genomes in a larger context, e.g., by phylogenetics.

bioinformatics↗

bioRxiv2021

General dimensions of human brain morphometry inferred from genome-wide association data

BackgroundUnderstanding the neurodegenerative mechanisms underlying cognitive declines in the general population may facilitate early detection of adverse health outcomes in late life. This study investigates biological pathways shared between brain morphometry, ageing, and cognitive ability. MethodsWe develop Genomic Principal Components Analysis (genomic PCA) to model general dimensions of variance in brain morphometry within brain networks at the level of their underlying genetic architecture. With genomic PCA we extract genetic principal components (PCs) that index global dimensions of genetic variance across phenotypes (unlike ancestral PCs that index genetic similarity between participants). Genomic PCA is applied to genome-wide association data for 83 brain regions which we calculated in 36,778 participants of the UK Biobank cohort. Using linkage disequilibrium score regression, we estimate genetic overlap between brain networks and indices of cognitive ability and brain ageing. ResultsA genomic principal component (PC) representing brain-wide dimensions of shared genetic architecture accounted for 40% of the genetic variance across 83 individual brain regions. Genomic PCs corresponding to canonical brain networks accounted for 47-65% of the genetic variance in the corresponding brain regions. These genomic PCs were negatively associated with brain age (rg = -0.34). Loadings of individual brain regions on the whole-brain genomic PC corresponded to sensitivity of a corresponding region to age (r = - 0.27). We identified positive genetic associations between genomic PCs of brain morphometry and general cognitive ability (rg= 0.17-0.21). ConclusionThese results demonstrate substantial shared genetic etiology between connectome-wide dimensions of brain morphometry, ageing, and cognitive ability, which will help guide investigations into risk factors and potential interventions of ageing-related cognitive decline.

genetics↗

bioRxiv2021

Genetically distant bacteriophages elicit unique genomic changes in Enterococcus faecalis

The human microbiota harbors diverse bacterial and bacteriophage (phage) communities. Bacteria evolve to overcome phage infection, thereby driving phage evolution to counter bacterial resistance. Understanding how phages promote genetic alterations in medically relevant bacteria is important as phages continue to become established biologics for the treatment of multidrug-resistant (MDR) bacterial infections. Before phages are used as standalone or combination antibacterial therapies, we must obtain a deep understanding of the molecular mechanisms of phage infection and how host bacteria alter their genomes to become resistant. We performed coevolution experiments using a single Enterococcus faecalis strain and two distantly related phages, to determine how phage pressure impacts the evolution of the E. faecalis genome. Whole genome sequencing revealed mutations previously demonstrated to be essential for phage infection. We also identified mutations in several genes previously unreported to be associated with phage infection in E. faecalis. Intriguingly, there was only one shared mutation in the E. faecalis genome in response to each of the two phages tested, demonstrating that infection by genetically distinct phages results in different host responses. This study shows that infection of the same host by disparate phages leads to evolutionary trajectories that result in distinct genetic changes. This implies that bacteria respond to phage pressure through host responses that are tailored to specific phages. This work serves as the basis for the study of E. faecalis genome evolution during phage infection and will inform the design of future therapeutics, such as phage cocktails, intended to target MDR E. faecalis. IMPORTANCEStudies characterizing the genome evolution of bacterial pathogens following phage selective pressure are lacking. Phage therapy is experiencing a rebirth in Western medicine. Such studies are critical for understanding how bacteria subvert phage infection and how phages evolve to counter such mutations. This study utilizes comparative genomic analyses to demonstrate how a pathogenic strain of Enterococcus faecalis responds to infection by two genetically distant phages. We show that genetic alterations in the E. faecalis genome accumulate in a manner that is specific to the infecting phage with little to no overlap in shared fixed mutations. This suggests that bacterial genome evolution in response to phage infection is uniquely tied to phage genotype, and sets a precedence for investigations into how phages drive bacterial genome evolution relevant to phage therapeutic applications.

microbiology↗

bioRxiv2021

A Unified Genomic Mechanism of Cell-Fate Change

The purpose of our studies is to elucidate the nature of massive control of whole genome expression with a particular emphasis on cell-fate change. Whole genome expression is coordinated by the emergence of a critical point (CP: a peculiar set of bi-phasic genes) through the genome-engine. In response to stimuli, the genome expression self-organizes three critical states, each exhibiting distinct collective behaviors with its center of mass acting as a local attractor, coexisting with whole genome attractor (GA). Genome-engine mechanism accounts for local attractors interaction in phase space. The CP acts as the organizing center of cell-fate change, and its activation makes local perturbation spread over the genome affecting GA. The activation of CP is in turn elicited by hot-spots, genes with elevated temporal variance, normally in charge to keep genome expression at pace with microenvironment fluctuations. When hot-spots oscillation exceeds a given threshold, the CP synchronizes with the GA driving genome expression state transition. The expression synchronization wave invading the entire genome depends on the power law fusion-bursting dynamics of silencing pericentromere-associated heterochromatin domains and the consequent folding-unfolding status of transcribing euchromatin domains. The proposed mechanism is a unified step toward a time-evolutional transition theory of biological regulation.

cell biology↗

bioRxiv2022

Exploring genomic data coupled with 3D chromatin structures using the WashU Epigenome Browser

Biological functions are not only encoded by the genomes sequence but also regulated by its three-dimensional (3D) structure. More and more studies have revealed the importance of 3D chromatin structures in development and diseases; therefore, visualizing the connections between genome sequence, epigenomic dynamics (1D) and the 3D genome becomes a pressing need. The WashU Epigenome Browser introduces a new 3D visualization module to integrate visualization of 1D (such as sequence features, epigenomic data) and 2D data (such as chromosome conformation capture data) with 3D genome structure. Genomic coordinates are encoded in 3D models of the chromosomes; thus, all genomic information displayed on a 1D genome browser can be visualized on a 3D model, supported by genome browser utilities and facilitating interpretation of genomic data. Biological information that is difficult to illustrate in 1D becomes more intuitive when displayed in 3D, providing novel and powerful tools for investigators to hypothesize and understand the connections between biological functions and 3D genome structures.

bioinformatics↗

bioRxiv2022

GGDB: A Grameneae Genome Alignment Database of Homologous Genes Hierarchically Related to Evolutionary Events

Owing to their economic values, Gramineae plants have been preferentially sequenced their genomes. These genomes are often quite complex, e.g., harboring many duplicated genes, which were the main source of genetic innovation and often the results of recurrent polyploidization. Deciphering the complex genome structure and linking duplicated genes to specific polyploidization events are important to understand the biology and evolution of plants. However, the effort has been held back due to its high complexity in analyzing these genomes. Here, by hierarchically relating duplicated genes in colinearity to each polyploidization or speciation event, we analyzed 29 well-assembled and up-to-date Gramineae genome sequences, separated duplicated genes produced by each event, established lists of paralogous and orthologous genes, and eventually constructed an on-line database, GGDB (http://www.grassgenome.com/). Homologous gene lists from each plant and between them can be displayed, searched, and downloaded from the database. Interactive comparison tools were deployed to demonstrate homology among user-selected plants, to draw genome-scale or local alignment figures, phylogenetic trees of genes corrected by exploiting gene colinearity, etc. Using these tools and figures, users can easily observe genome structural changes, and explore the effects of paleo-polyploidy on crop genome structure and function. The GGDB will be a useful platform to improve understanding the genome changes and functional innovation of Gramineae plants. Key pointsO_LIGGDB is the only portal hosting Grameneae colinear homologous genes hierarchically related to evolutionary events, especially polyploidization, which have occurred recursively. C_LIO_LIAllows systematic analysis of colinear gene relationships and function origination and/or divergence across Grameneae plants. C_LIO_LIServing the Grameneae research community, with new genomes, modules, tools, and analysis. C_LI

bioinformatics↗

bioRxiv2022

PanGraph: scalable bacterial pan-genome graph construction

The genomic diversity of microbes is commonly parameterized as single nucleotide polymorphisms relative to a reference genome of a well-characterized, but arbitrary, isolate. However, any reference genome contains only a fraction of the microbial pangenome, the total set of genes observed in a given species. Reference-based approaches are thus blind to the dynamics of the accessory genome, as well as variation within gene order and copy number. With the wide-spread usage of long-read sequencing, the number of high-quality, complete genome assemblies has increased dramatically. Traditional computational approaches towards whole-genome analysis either scale poorly with the number of genomes, or treat genomes as dissociated "bags of genes", and thus are not suited for this new era. Here, we present PanGraph, a Julia-based library and command line interface for aligning whole genomes into a graph. Each genome is represented as an undirected path along vertices, which in turn, encapsulate homologous multiple sequence alignments. The resultant data structure succinctly summarizes population-level nucleotide and structural polymorphisms and can be exported into a several common formats for either downstream analysis or immediate visualization.

bioinformatics↗

bioRxiv2022

Assembly and phylogeographic analysis of novel Taenia solium mitochondrial genomes reveal further differentiation between and within Asian and African-American genotypes

BackgroundTaenia solium is a parasite that hampers human health, causing taeniasis and cysticercosis. The genetic variability in its mitochondrial genome is related to the geographical origin of the specimen. Two main genotypes have been identified: The Asian and the African-American. The geographic genetic variability is expected to cause different clinical manifestations. Thus, characterizing differences between and within genotypes is crucial for completing the epidemiology of T. solium diseases. Methods/Principal FindingsHere, two Peruvian (one complete and one partial; 7,811X and 42X of coverage, respectively) and one Mexican (complete, 3,395X) T. solium mitochondrial genomes were assembled using the Chinese reference. Variant calling with respect to the reference was performed. Thirteen SNPs that involved a change in the amino acid physicochemical nature were identified. Those were present in all the assembled genomes and might be linked to differences in aerobic respiration efficiency between Latin American (African-American) and Asian genotypes. Then, phylogeographic studies were conducted using Cytochrome C oxidase subunit I and cytochrome B from these genomes and other isolates. The analysis showed that Indonesian samples are the most ancient and related to the modern T. solium ancestor of the Asian genotype. Finally, a consistent subdivision of the African-American genotype into two subgroups was found. One subgroup relates to East African countries, while the other is West Africa. The East African linage suggests a previously unnoticed influence of the Indian Ocean trade in the genetic structure of Latin America T. solium. Conclusions/SignificanceOverall, this study reports novel mitochondrial genomes valuable for further studies. New Latin American SNPs were identified and suggest metabolic differences between parasites of the Asian and African-American genotypes. Moreover, the phylogeographic analysis revealed differences within each genotype that shed light on T. soliums historical spread. Overall, the results represent an important step in completing T. solium genetic epidemiology. Author SummaryTaenia solium is a human parasite that causes taeniasis and cysticercosis. Eradicated from developed countries, they are still a public health problem in developing nations. T. solium differences in the mitochondrial genetic material depend on its geographical origin. This is expected to cause different clinical manifestations. Despite the importance of genetics to the epidemiology of T. solium diseases, few efforts have been made to assemble and compare their genomes. We aimed to help fill this knowledge gap by assembling three mitochondrial genomes from Latin America and comparing them to the Chinese reference. Additionally, two genes from the Latin American genomes and from other isolates were employed to assess T. solium genetic distribution. We found thirteen mutations with respect to the Chinese genome present in all Latin American samples, which involved a change in the amino acid physicochemical nature. Those might be causing metabolic differences between Asian and Latin American parasites that could change their affinity to specific human tissues. Moreover, we determined that Indonesian samples are the most ancient and related to the modern T. solium ancestor. Finally, we identified a previously unnoticed influence of East African countries in T. solium phylogeny, with which our assembled genomes are closely related.

genetics↗

bioRxiv2022

Genome-resolved metaproteomics decodes the microbial and viral contributions to coupled carbon and nitrogen cycling in river sediments

Rivers have a significant role in global carbon and nitrogen cycles, serving as a nexus for nutrient transport between terrestrial and marine ecosystems. Although rivers have a small global surface area, they contribute substantially to global greenhouse gas emissions through microbially mediated processes within the river hyporheic zone. Despite this importance, microbial roles in these climatically relevant systems are mostly inferred from 16S rRNA amplicon surveys, which are not sufficiently resolved to inform biogeochemical models. To survey the metabolic potential and gene expression underpinning carbon and nitrogen biogeochemical cycling in river sediments, we collected an integrated dataset of over 30 metagenomes, metaproteomes, and paired metabolomes. We reconstructed over 500 microbial metagenome assembled genomes (MAGs), which we dereplicated into 55 unique genomes spanning 12 bacterial and archaeal phyla. We also reconstructed 2482 viral genomic contigs, which were dereplicated into 111 viral MAGs >10kb in size. As a result of integrating gene expression data with geochemical and metabolite data, we created a conceptual model that uncovers new roles for microorganisms in organic matter decomposition, carbon sequestration, nitrogen mineralization, nitrification, and denitrification. Integrated through shared resource pools of ammonium, carbon dioxide, and inorganic nitrogen we show how these metabolic pathways could ultimately contribute to carbon dioxide and nitrous oxide fluxes from hyporheic sediments. Further, by linking viral genomes to these active microbial hosts, we provide some of the first insights into viral modulation of river sediment carbon and nitrogen cycling. ImportanceHere we created HUM-V (Hyporheic Uncultured Microbial and Viral), an annotated microbial and viral genome catalog that captures the strain and functional diversity encoded in river sediments. Demonstrating its utility, this genomic inventory encompasses multiple representatives of the most dominant microbial and archaeal phyla reported in river sediments and provides novel viral genomes that can putatively infect these. Furthermore, we used HUM-V to recruit gene expression data to decipher the functional activities of these genomes and reconstruct their active roles in river sediment biogeochemical cycling. We show the power of genome resolved, multi-omics to uncover the organismal interactions and chemical handoffs shaping an intertwined carbon and nitrogen metabolic network and create a framework that can be extended to other river sediments. The accessible microbial and viral genomes in HUM-V will serve as a community resource to further advance more untargeted, activity-based measurements in these and related freshwater terrestrial-aquatic ecosystems.

microbiology↗

bioRxiv2022

Comparative Genome Analysis of Lactobacillus acidophilus Isolates from Different Ecological Niches

Lactobacillus acidophilus has been extensively applied in plentiful probiotic products and is mostly found in the gastrointestinal tract, vagina, and oral cavity of human and animal, and fermented foods. Although several studies have been performed to investigate the beneficial characteristics and genome function of L. acidophilus, comparative genomic analysis remains scarce. In this study, we collected 74 L. acidophilus genomes from our gut bacterial genome collection and the public database and conducted a comprehensive comparative genomic analysis. The analysis of average nucleotide identity (ANI), phylogenetic, gene distribution of COG and KEGG database, carbohydrates utilization, and secondary metabolites revealed the potential correlation of the genomic diversity and niches adaptation of L. acidophilus from different perspectives. In addition, the pan-genome of L. acidophilus was found to be open, with metabolism, information storage and processing genes mainly distributed in the core genome. Phage- and peptidase-associated genes were found in the genome of the specificity of animal-derived strains, which were related to adaptation of animal gut. SNP analysis showed the differences of the utilization of Vitamin B12 in cellular of L. acidophilus strains from animal gut and others. This work provides new insights for the genomic diversity analysis of Lactobacillus acidophilus and uncovers the ecological adaptation of the specific strains.

microbiology↗

bioRxiv2022

Recovery of 447 Eukaryotic bins reveals major challenges for Eukaryote genome reconstruction from metagenomes.

An estimated 8.7 million eukaryotic species exist on our planet. However, recent tools for taxonomic classification of eukaryotes only dispose of 734 reference genomes. As most Eukaryotic genomes are yet to be sequenced, the mechanisms underlying their contribution to different ecosystem processes remain untapped. Although approaches to recover Prokaryotic genomes have become common in genome biology, few studies have tackled the recovery of Eukaryotic genomes from metagenomes. This study assessed the reconstruction of Eukaryotic genomes using 215 metagenomes from diverse environments using the EukRep pipeline. We obtained 447 eukaryotic bins from 15 classes (e.g., Saccharomycetes, Sordariomycetes, and Mamiellophyceae) and 16 orders (e.g., Mamiellales, Saccharomycetales, and Hypocreales). More than 73% of the obtained eukaryotic bins were recovered from samples whose biomes were classified as host-associated, aquatic and anthropogenic terrestrial. However, only 93 bins showed taxonomic classification to (9 unique) genera and 17 bins to (6 unique) species. A total of 193 bins contained completeness and contamination measures. Average completeness and contamination were 44.64% ({sigma}=27.41%) and 3.97% ({sigma}=6.53%), respectively. Micromonas commoda was the most frequent taxa found while Saccharomyces cerevisiae presented the highest completeness, possibly resulting from a more significant number of reference genomes. However, mapping eukaryotic bins to the chromosomes of the reference genomes suggests that completeness measures should consider both single-copy genes and chromosome coverage. Recovering eukaryotic genomes will benefit significantly from long-read sequencing, intron removal after assembly, and improved reference genomes databases.

bioinformatics↗

bioRxiv2022

MAGNETO: an automated workflow for genome-resolved metagenomics

Metagenome-Assembled Genomes (MAGs) represent individual genomes recovered from metagenomic data. MAGs are extremely useful to analyse uncultured microbial genomic diversity, as well as to characterize associated functional and metabolic potential in natural environments. Recent computational developments have considerably improved MAGs reconstruction but also emphasized several limitations, such as the non-binning of sequence regions with repetitions or distinct nucleotidic composition. Different assembly and binning strategies are often used, however, it still remains unclear which assembly strategy in combination with which binning approach, offers the best performance for MAGs recovery. Several workflows have been proposed in order to reconstruct MAGs, but users are usually limited to single-metagenome assembly or need to manually define sets of metagenomes to co-assemble prior to genome binning. Here, we present MAGNETO, an automated workflow dedicated to MAGs reconstruction, which includes a fully-automated co-assembly step informed by optimal clustering of metagenomic distances, and implements complementary genome binning strategies, for improving MAGs recovery. MAGNETO is implemented as a Snakemake workflow and is available at: https://gitlab.univ-nantes.fr/bird_pipeline_registry/magneto. IMPORTANCEGenome-resolved metagenomics has led to the discovery of previously untapped biodiversity within the microbial world. As the development of computational methods for the recovery of genomes from metagenomes continues, existing strategies need to be evaluated and compared to eventually lead to standardized computational workflows. In this study, we compared commonly used assembly and binning strategies and assessed their performance using both simulated and real metagenomic datasets. We propose a novel approach to automate co-assembly, avoiding the requirement for a priori knowledge to combine metagenomic information. The comparison against a previous co-assembly approach demonstrates a strong impact of this step on genome binning results, but also the benefits of informing co-assembly for improving the quality of recovered genomes. MAGNETO integrates complementary assembly-binning strategies to optimize genome reconstruction and provides a complete reads-to-genomes workflow for the growing microbiome research community.

bioinformatics↗

bioRxiv2022

A small DNA virus initiates replication with no more than three genome copies per cell

Cellular organisms purge lethal mutations as they occur (in haploids), or as soon as they become homozygous (in sexually reproducing diploids), thus making the mutation-carrying genomes the sole victims of lethality. How lethal mutations in viruses are purged remains an unresolved question because numerous viral genomes could potentially replicate in the same cell, sharing their encoded proteins, hence shielding lethal mutations from selection. Previous investigations by us and others suggest that viruses with plus strand (+) RNA genomes may compel such selection by bottlenecking the replicating genome copies in each cell to low single digits. However, it is unclear if similar bottlenecks also occur in cells invaded by DNA viruses. Here we investigated whether tomato yellow leaf curl virus (TYLCV), a small virus with a single-stranded DNA genome, underwent population bottlenecking in cells of its host plants. We engineered the TYLCV genome to produce two replicons that express green fluorescent protein and mCherry, respectively, in a replication-dependent manner. We found that less than 65% of cells penetrated by both replicons replicated both, whereas at least 35% of cells replicated either of them alone, illustrating an intracellular population bottleneck size of no more than three. Furthermore, sequential inoculations unveiled strong mutual exclusions of these two replicons in most cells. Collectively our data demonstrated for the first time that DNA viruses like TYLCV are subject to stringent intracellular population bottlenecks, suggesting that such population bottlenecks may be a virus-encoded, evolutionarily conserved trait that assures timely elimination of lethal mutations. Significance statementAn important unresolved issue in virus life cycles is how natural selection acts on individual virus copies in the same cells. Unlike cellular organisms in which genome copies with lethal or advantageous mutations usually share their hosts with no more than one homologous genome copy, viruses could potentially reproduce with numerous sister genomes per cell, permitting sharing of protein products, thereby greatly diminishing phenotypic impacts of otherwise eventful mutations. Previous investigations suggest that (+) RNA viruses solve this problem by bottlenecking the number of replicating genome copies to low single digits. The current study reveals strikingly similar intracellular population bottlenecks for a DNA virus. Further mechanistic interrogations could avail the virus-encoded bottleneck-enforcing apparatus as targets for antiviral therapy and prevention.

microbiology↗

bioRxiv2022

IRES-independent, eIF2A/eIF2D-dependent translation of the enterovirus genome

RNA recombination in positive-strand RNA viruses is a molecular-genetic process, which permits the greatest evolution of the genome and may be essential to stabilizing the genome from the deleterious consequences of accumulated mutations. Enteroviruses represent a useful system to elucidate the details of this process. On the biochemical level, it is known that RNA recombination is catalyzed by the viral RNA-dependent RNA polymerase using a template-switching mechanism. For this mechanism to function in cells, the recombining genomes must be located in the same subcellular compartment. How a viral genome is trafficked to the site of genome replication and recombination, which is membrane associated and isolated from the cytoplasm, is not known. We hypothesized that genome translation was essential for co-localization of genomes for recombination. We show that complete inactivation of internal ribosome entry site (IRES)-mediated translation of a donor enteroviral genome enhanced recombination instead of impairing it. Recombination did not occur by a non-replicative mechanism. Rather, sufficient translation of the non-structural region of the genome occurred to support subsequent steps required for recombination. The non-canonical translation initiation factors, eIF2A and eIF2D, were required for IRES-independent translation. Our results support an eIF2A/eIF2D-dependent mechanism under conditions in which the eIF2-dependent mechanism is inactive. Detection of an IRES-independent mechanism for translation of the enterovirus genome provides an explanation for a variety of debated observations, including non-replicative recombination and persistence of enteroviral RNA lacking an IRES. The existence of an eIF2A/eIF2D-dependent mechanism in enteroviruses predicts the existence of similar mechanisms in other viruses.

microbiology↗

bioRxiv2022

Reproducibility of Principal and Independent Genomic Components of Brain Structure and Function

IntroductionThe highly polygenic and pleiotropic nature of behavioural traits, psychiatric disorders, and structural and functional brain phenotypes complicate mechanistic interpretation of related genome-wide association study (GWAS) signals, such that the underlying causal biological processes remain obscure. We propose the novel method of genomic principal and independent component analysis (PCA, ICA) to decompose a large set of univariate GWAS statistics of multimodal brain traits into more interpretable latent genomic components. Here we introduce this new method and evaluate its various analytic parameters and reproducibility across independent samples. MethodsTwo releases of GWAS summary statistics from the UK biobank (UKB), with 11,086 and 22,138 participants respectively, were retrieved from the Oxford BIG-40 server. GWAS summary statistics were clumped resulting in n=165,364 single nucleotide polymorphisms (SNP) and m=2,240 imaging derived phenotypes (IDPs). Both genome-wide beta-values and their corresponding, standard-error scaled z-values were decomposed using multivariate exploratory linear optimised decomposition into independent components (MELODIC). We evaluated variance explained at multiple dimensions up to 200. We tested the reproducibility of output of dimensions 5, 10, 25, and 50 by computing Pearsons correlation between component loadings, and Fisher Exact tests on overlap of the top SNP loadings across samples. Reproducibility statistics of the original raw and z-transformed univariate GWAS served as benchmarks. We also inspected the clustering of genomic components across neuroimaging modalities using t-SNE. ResultsThe first five PCs derived from z-transformed GWAS captured 31.9% of the variance across SNP effect sizes, while 200 PCs increased the variance explained to 79.6%. Reproducibility of 10-dimensional PCs and ICs showed the best balance between model complexity and robustness, and variance explained (PCs: |rz-max|=0.33, |rraw-max|=0.30; ICs: |rz-max|=0.23, |rraw-max|=0.19), with decreasing model stability and reproducibility at higher dimensions. Both genomic PC and IC reproducibilities improved substantially relative to mean univariate GWAS reproducibility up to a dimension of 10. Genomic components clustered along neuroimaging modalities. ConclusionOur results indicate that these novel methods of genomic ICA and PCA decompose genetic effects on IDPs from raw GWAS statistics with high reproducibility by taking advantage of the inherent pleiotropic patterns. These findings encourage further applications of genomic ICA and PCA as fully data-driven methods to effectively reduce the dimensionality, enhance the signal to noise ratio, and improve interpretability of high-dimensional multi-trait genome-wide analyses.

neuroscience↗