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Results for “genomics”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2025

Identification of genetic and non-genetic modifiers of genomic imprinting through whole genome screening in humans

Genomic imprinting is required for normal development, and abnormal methylation of differentially methylated regions (iDMRs) controlling the parent of origin-dependent expression of the imprinted genes has been found in constitutional disorders affecting growth, metabolism, neurobehavior, and in cancer. In most of these cases the cause of the imprinting abnormalities is unknown. Also, these studies have generally been performed on a limited number of CpGs, and a systematic investigation of iDMR methylation in the general population is lacking. By analysing the iDMRs in a large number of peripheral blood DNA methylation array datasets of unaffected individuals and patients with rare disorders, we determined the most common iDMR methylation profiles and identified many genetic and non-genetic factors contributing to their variability. We found that methylation variability is not homogeneous within the iDMRs and that the CpGs closer to the ZFP57 binding sites are less susceptible to methylation changes. We demonstrated the methylation polymorphism of three iDMRs and the atypical behaviour of several others, and reported the association of 25 disease- and 47 non-disease-complex traits, including blood cell type composition, as well as 15 mendelian or chromosomal disorders, with iDMR methylation changes in blood DNA. These findings identify several genetic and non-genetic factors associated with genomic imprinting maintenance in humans, which may have a role in the aetiology of the diseases associated with imprinting abnormalities and have clear implications in molecular diagnostics.

genetics↗

bioRxiv2025

Integration of diploid T2T parental genomes with progeny genomes and transcriptomes identifies resistance genes in the grape powdery mildew resistance loci Ren6 and Ren7 of Vitis piazeskii

The Chinese grape accession Vitis piasezkii DVIT2027 carries two loci associated with powdery mildew (PM) resistance loci, Ren6 and Ren7, which differ in timing and strength of response to Erysiphe necator. Both loci are consistent with recognition by intracellular immune receptors. To identify the underlying nucleotide-binding leucine-rich repeat (NLR) genes, we assembled chromosome-scale diploid genomes of DVIT2027 and the susceptible V. vinifera F2-35, parents of a segregating F1 population. We integrated these assemblies with deep resequencing data from eight F1 sib-lines carrying different Ren6/Ren7 combinations and generated trio-binned, parent-phased genomes for six progeny. This resolved both PM-resistant (PMR) and PM-susceptible (PMS) haplotypes at Ren6 and Ren7. Comparative analyses revealed extensive structural variation and complete haplotype specificity among NLRs, with several candidate genes lacking allelic counterparts in PMS haplotypes. Expression profiling across PMR sib-lines identified four and two CC-NBS-LRR genes potentially associated with Ren6 and Ren7, respectively. Sequence graph reconstruction of these loci across multiple V. piasezkii accessions revealed broad intraspecific diversity and DVIT2027-specific nodes, including within candidate NLR genes. These results provide a high-resolution view of Ren6 and Ren7 and support the identification of resistance gene candidates for functional validation and grapevine breeding.

plant biology↗

bioRxiv2025

High-Quality Draft Genome Assemblies and Comparative Genomics of Three Bouteloua Species (Poaceae: Chloridoideae)

Bouteloua is a PACMAD grass genus that dominates much of the central and southern North American prairies and plains, where species such as sideoats grama (B. curtipendula), blue grama (B. gracilis), and black grama (B. eriopoda) are both ecologically dominant and among the most valuable forage grasses of arid rangelands. Yet, genomic resources for the genus remain limited. We generated PacBio HiFi draft assemblies for B. curtipendula (653 Mb, N50 25.5 Mb), B. gracilis (808 Mb, N50 4.1 Mb), and B. eriopoda (1.67 Gb, N50 1.0 Mb). All assemblies showed >98.5% BUSCO completeness. Helixer predicted 83,877-215,536 gene models per assembly. However, syntenic copy numbers (2 in B. curtipendula, 3 in B. gracilis, and 6 in B. eriopoda) indicate that at least two species are polyploid, and the inflated gene model counts likely reflect homeologous copies and fragmented predictions rather than true gene numbers. panEDTA identified 25-40% transposable-element content, dominated by LTR retrotransposons. These assemblies provide foundational genomic references for Bouteloua and support comparative studies across PACMAD grasses.

plant biology↗

bioRxiv2018

GetOrganelle: a simple and fast pipeline for de novo assembly of a complete circular chloroplast genome using genome skimming data

GetOrganelle is a state-of-the-art toolkit to assemble accurate organelle genomes from NGS data. This toolkit recruit organelle-associated reads using a modified \"baiting and iterative mapping\" approach, conducts de novo assembly, filters and disentangles assembly graph, and produces all possible configurations of circular organelle genomes. For 50 published samples, we reassembled the circular plastome in 47 samples using GetOrganelle, but only in 12 samples using NOVOPlasty. In comparison with published/NOVOPlasty plastomes, we demonstrated that GetOrganelle assemblies are more accurate. Moreover, we assembled complete mitogenomes of fungi and animals using GetOrganelle. GetOrganelle is freely released under a GPL-3 license (https://github.com/Kinggerm/GetOrganelle).

bioinformatics↗

bioRxiv2018

Tychus: a whole genome sequencing pipeline for assembly, annotation and phylogenetics of bacterial genomes

SummaryTychus is a tool that allows researchers to perform massively parallel whole genome sequence (WGS) analysis with the goal of producing a high confidence and comprehensive description of the bacterial genome. Key features of the Tychus pipeline include the assembly, annotation, alignment, variant discovery and phylogenetic inference of large numbers of WGS isolates in parallel using open-source bioinformatics tools and virtualization technology. All prerequisite tools and dependencies come packaged together in a single suite that can be easily downloaded and installed on Linux and Mac operating systems.\n\nAvailabilityTychus is freely available as an open-source package under the MIT license, and can be downloaded via GitHub (https://github.com/Abdo-Lab/Tychus).\n\nContactzaid.abdo@colostate.edu

bioinformatics↗

bioRxiv2018

Inference of genomic spatial organization from a whole genome bisulfite sequencing sample.

Common approaches to characterize the structure of the DNA in the nucleus, such as the different Chromosome Conformation Capture methods, have not currently been widely applied to different tissue types due to several practical difficulties including the requirement for intact cells to start the sample preparation. In contrast, techniques based on sodium bisulfite conversion of DNA to assay DNA methylation, have been widely applied to many different tissue types in a variety of organisms. Recent work has shown the possibility of inferring some aspects of the three dimensional DNA structure from DNA methylation data, raising the possibility of three dimensional DNA structure prediction using the large collection of already generated DNA methylation datasets. We propose a simple method to predict the values of the first eigenvector of the Hi-C matrix of a sample (and hence the positions of the A and B compartments) using only the GC content of the sequence and a single whole genome bisulfite sequencing (WGBS) experiment which yields information on the methylation levels and their variability along the genome. We train and test our model on 10 samples for which we have data from both bisulfite sequencing and chromosome conformation experiments and our most relevant finding is that the variability of DNA methylation along the sequence is often a better predictor than methylation itself. We then run a prediction on 206 DNA methylation profiles produced by the Blueprint project and use ChIP-Seq and RNA-Seq data to confirm that the forecasted eigenvector delineates correctly the physical chromatin compartments observed with the Hi-C experiment.

bioinformatics↗

bioRxiv2018

Pervasive population genomic consequences of genome duplication in Arabidopsis arenosa

Ploidy-variable species allow direct inference of the effects of chromosome copy number on fundamental evolutionary processes. While an abundance of theoretical work suggests polyploidy should leave distinct population genomic signatures, empirical data remains sparse. We sequenced [~]300 individuals from 39 populations of Arabidopsis arenosa, a naturally diploid-autotetraploid species. We find the impacts of polyploidy on population genomic processes are subtle yet pervasive, including reduced efficiency on linked and purifying selection as well as rampant gene flow from diploids. Initial masking of deleterious mutations, faster rates of nucleotide substitution, and interploidy introgression all conspire to shape the evolutionary potential of polyploids.

evolutionary biology↗

bioRxiv2019

Genome-wide association study identifies 44 independent genomic loci for self-reported adult hearing difficulty in the UK Biobank cohort

Age-related hearing impairment (ARHI) is the most common sensory impairment in the aging population; a third of individuals are affected by disabling hearing loss by the age of 651. ARHI is a multifactorial condition caused by both genetic and environmental factors, with estimates of heritability between 35% and 55%2-4. The genetic risk factors and underlying biological pathology of ARHI are largely unknown, meaning that targets for new therapies remain elusive. We performed genome-wide association studies (GWAS) for two self-reported hearing phenotypes, hearing difficulty (HDiff) and hearing aid use (HAid), using over 250,000 UK Biobank5 volunteers aged between 40-69 years. We identified 44 independent genome-wide significant loci (P<5E-08), 33 of which have not previously been associated with any form of hearing loss. Gene sets from these loci are enriched in auditory processes such as synaptic activities, nervous system processes, inner ear morphology and cognition. Immunohistochemistry for protein localisation in adult mouse cochlea indicate metabolic, sensory and neuronal functions for NID2, CLRN2 and ARHGEF28 identified in the GWAS. These results provide new insight into the genetic landscape underlying susceptibility to ARHI.

genetics↗

bioRxiv2019

Direct genome editing of patient-derived xenografts using CRISPR-Cas9 enables rapid in vivo functional genomics

Patient-derived xenografts (PDXs) constitute a powerful set of preclinical models for in vivo cancer research, reflecting the spectrum of genomic alterations and therapeutic liabilities of human cancers1-4. In contrast to either cancer cell lines or genetically engineered mouse models, the utility of PDXs has been limited by the inability to perform targeted genome editing of these tumors. To address this limitation, we have generated a lentiviral platform for CRISPR-Cas9 editing of PDXs using a tightly regulated, inducible Cas9 vector that does not require in vitro culture for selection of transduced cells. We demonstrate the utility of this platform in PDXs (1) to analyze genetic dependencies by targeted gene disruption and (2) to analyze mechanisms of acquired drug resistance by site-specific gene editing using templated homology-directed repair. This flexible system has broad application to other explant models and substantially augments the utility of PDXs as genetically programmable models of human cancer.

cancer biology↗

bioRxiv2019

A comprehensive genome-scale model for Rhodosporidium toruloides IFO0880 accounting for functional genomics and phenotypic data

BackgroundRhodosporidium toruloides is a basidiomycetes yeast that can accumulate large amount of lipids and natively produce carotenoids. To better assess this non-model yeasts metabolic capabilities, we reconstruct a genome-scale model of R. toruloides IFO0880s metabolic network (iRhto1108) using recent functional genomics and phenotypic data in literature or generated herein.\n\nResultsThe model iRhto1108 accounts for 2,203 reactions, 1,985 metabolites and 1,108 genes. In this work, we integrate and supplement the current knowledge with in-house generated biomass composition and experimental measurements pertaining to the organisms metabolic capabilities. Phenotype-genotype relationship predictions were improved through manual curation of gene-protein-reaction rules for 543 reactions and validations with gene essentiality data leading to correct recapitulations of 84.5% of gene essentiality data (sensitivity of 94.3% and specificity of 53.8%). Organism-specific macromolecular composition and ATP maintenance requirements were experimentally measured for two separate growth conditions: (i) carbon and (ii) nitrogen limitations. Overall, iRhto1108 reproduced R. toruloidess utilization capabilities for 18 alternate substrates, matched measured wild-type growth yield, and recapitulated the viability of 772 out of 819 deletion mutants. As a demonstration to the models fidelity in guiding engineering interventions, the OptForce procedure was applied on iRhto1108 for the overproduction of triacylglycerol. Suggested interventions recapitulated many of the previously successfully implemented genetic modifications and put forth a few new ones.\n\nConclusioniRhto1108 offers a highly curated model for a non-model yeast supported by multiple layers of experimental data that can be used to inform genetic interventions.

systems biology↗

bioRxiv2019

Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions

Genome-wide association mapping identifies quantitative trait loci (QTL) that influence the mean differences between the marker genotypes for a given trait. While most loci influence the mean value of a trait, certain loci, known as variance heterogeneity QTL (vQTL) determine the variability of the trait instead of the mean trait value (mQTL). In the present study, we performed a variance heterogeneity genome-wide association study (vGWAS) for grain cadmium (Cd) concentration in bread wheat. We used double generalized linear model and hierarchical generalized linear model to identify vQTL associated with grain Cd. We identified novel vQTL regions on chromosomes 2A and 2B that contribute to the Cd variation and loci that affect both mean and variance heterogeneity (mvQTL) on chromosome 5A. In addition, our results demonstrated the presence of epistatic interactions between vQTL and mvQTL, which could explain variance heterogeneity. Overall, we provide novel insights into the genetic architecture of grain Cd concentration and report the first application of vGWAS in wheat. Moreover, our findings indicated that epistasis is an important mechanism underlying natural variation for grain Cd concentration.

genetics↗

bioRxiv2019

An epitranscriptomic switch at the 5′-UTR controls genome selection during HIV-1 genomic RNA packaging

During retroviral replication, the full-length RNA serves both as mRNA and genomic RNA (gRNA). While the simple retrovirus MLV segregates its full-length RNA into two functional populations, the HIV-1 full-length RNA was proposed to exist as a single population used indistinctly for protein synthesis or packaging. However, the mechanisms by which the HIV-1 Gag protein selects the two RNA molecules that will be packaged into nascent virions remain poorly understood. Here, we demonstrate that HIV-1 full-length RNA packaging is regulated through an epitranscriptomic switch requiring demethylation of two conserved adenosine residues present within the 5'-UTR. As such, while m6A deposition by METTL3/METTL14 onto the full-length RNA was associated with increased Gag synthesis and reduced packaging, FTO-mediated demethylation was required for the incorporation of the full-length RNA into viral particles. Interestingly, HIV-1 Gag associates with the RNA demethylase FTO in the nucleus and drives full-length RNA demethylation. Finally, the specific inhibition of the FTO RNA demethylase activity suppressed HIV-1 full-length RNA packaging. Together, our data propose a novel epitranscriptomic mechanism allowing the selection of the full-length RNA molecules that will be used as viral genomes.

molecular biology↗

bioRxiv2019

Comprehensive Annotations of Human Herpesvirus 6A and 6B Genomes Reveal Novel and Conserved Genomic Features

Human herpesvirus 6 (HHV-6) A and B are highly ubiquitous betaherpesviruses, infecting the majority of the human population. Like other herpesviruses, they encompass large genomes and our understanding of their protein coding potential is far from complete. Here we employ ribosome profiling and systematic transcript analysis to experimentally define the HHV-6 translation products and to follow their temporal expression. We identify hundreds of new open reading frames (ORFs), including many upstream ORFs (uORFs) and internal ORFs (iORFs), generating a complete unbiased atlas of HHV-6 proteome. Furthermore, by integrating systematic data from the prototypic betaherpesvirus, human cytomegalovirus, we uncover numerous uORFs and iORFs that are conserved across betaherpesviruses and we show that uORFs are specifically enriched in late viral genes. Using our transcriptome measurements, we identified three highly abundant HHV-6 encoded long non-coding RNAs (lncRNAs), one of which generates a non-polyadenylated stable intron that appears to be a conserved feature of betaherpesviruses. Overall, our work reveals the complexity of HHV-6 genomes and highlights novel features that are conserved between betaherpesviruses, providing a rich resource for future functional studies.

microbiology↗

bioRxiv2019

Agrobacterium-mediated transient transformation of sorghum leaves for accelerating functional genomics and genome editing studies.

ObjectivesSorghum is one of the most recalcitrant species for transformation. Considering the time and effort required for stable transformation in sorghum, establishing a transient system to screen the efficiency and full functionality of vector constructs is highly desirable.\n\nResultsHere, we report an Agrobacterium-mediated transient transformation assay with intact sorghum leaves using green fluorescent protein as marker. It also provides a good monocot alternative to tobacco and protoplast assays with a direct, native and more reliable system for testing single guide RNA (sgRNA) expression construct efficiency. Given the simplicity and ease of transformation, high reproducibility, and ability to test large constructs, this method can be widely adopted to speed up functional genomic and genome editing studies.

plant biology↗

bioRxiv2019

Whole genome sequencing and the application of a SNP panel reveal primary evolutionary lineages and genomic diversity in the lion (Panthera leo)

BackgroundPrevious phylogeographic studies of the lion (Panthera leo) have improved our insight into the distribution of genetic variation, as well as a revised taxonomy which now recognizes a northern (Panthera leo leo) and a southern (Panthera leo melanochaita) subspecies. However, existing whole range phylogeographic studies on lions either consist of very limited numbers of samples, or are focused on mitochondrial DNA and/or a limited set of microsatellites. The geographic extent of genetic lineages and their phylogenetic relationships remain uncertain, clouded by massive sampling gaps, sex-biased dispersal and incomplete lineage sorting. ResultsIn this study we present results of low depth whole genome sequencing and subsequent variant calling in ten lions sampled throughout the geographic range, resulting in the discovery of >150,000 Single Nucleotide Polymorphisms (SNPs). Phylogenetic analyses revealed the same basal split between northern and southern populations as well as four population clusters on a more local scale. Further, we designed a SNP panel, including 125 autosomal and 14 mitochondrial SNPs, which was tested on >200 lions from across their range. Results allow us to assign individuals to one of these four major clades (West & Central Africa, India, East Africa, or Southern Africa) and delineate these clades in more detail. ConclusionsThe results presented here, particularly the validated SNP panel, have important applications, not only for studying populations on a local geographic scale, but also for tracing samples of unknown origin for forensic purposes, and for guiding conservation management of ex situ populations. Thus, these genomic resources not only contribute to our understanding of the evolutionary history of the lion, but may also play a crucial role in conservation efforts aimed at protecting the species in its full diversity.

evolutionary biology↗

bioRxiv2019

Genome resequencing, improvement of variant calling, and population genomic analyses provide insights into the seedlessness in the genus Vitis

The seedlessness of grape derived from stenospermocarpy is one of the most prized traits of table or raisin grapes. It is controlled by a complex genetic system containing one major dominant gene and multiple minor recessive genes. Here, we collected dense variation data from high-depth resequencing data of seeded, seedless, and wild relative grape genomes sequenced to > 37x mean depth. Variant calls were made using a modified variant calling pipeline that was suitable for highly diverse interspecific grape accessions. The modified pipeline enabled us to call several million more variants than the commonly recommended pipeline. The quality was validated by Sanger sequencing data and subsequently supported by the genetic population structure and the phylogenetic tree constructed using the obtained variation data, results of which were generally consistent with known pedigree and taxonomic classifications. Variation data enabled us to confirm a major dominant gene and identify minor recessive loci for seedlessness. Incidentally, we found that grape cultivar Rizamat contains an ancestral chromosomal region of the major gene in Sultanina, a predominant seedlessness donor cultivar. Furthermore, we predicted new candidate causal genes including Vitvi01g00455, Vitvi08g01528, and Vitvi18g01237 associated with the minor seedless-regulating loci, which showed high homology with genes that regulate seed development in Arabidopsis. This study provides fundamental insights relevant to variant calling from genome resequencing data of diverse interspecific hybrid germplasms such as grape and will accelerate future efforts aimed at crop improvement.

genetics↗

bioRxiv2026

Wheat diversity reveals new genomic loci and candidate genes for vegetation indices using genome-wide association analysis

Wheat (Triticum aestivum L.), a globally essential crop, exhibits high vulnerability to drought stress, particularly within rainfed agricultural systems. Enhancing resilience requires a deeper understanding of the genetic architecture underlying key physiological traits. Spectral vegetation indices provide a high-throughput, non-invasive approach to quantify these traits, but their genetic basis in wheat under drought remains largely unexplored. We conducted a genome-wide association study (GWAS) using 187 bread wheat genotypes evolved and selected across rainfed conditions. This population was phenotyped for 25 vegetation indices and genotyped using a 25K SNP array. Phenotypic data showed significant genetic variation with broad-sense heritability (H{superscript 2}) ranging from 0.19 to 0.95. Comparing phenotype and genotype data identified 812 Bonferroni-significant associations distributed across the A, B and D genomes. A prominent major QTL effect was identified as a hotspot on chromosome 2A, tagged by SNP marker wsnp_Ex_c36049_44083089, was among the strongest associations for 17 vegetation indices, explaining up to 20% of the genotypic variance for key traits like greenness and pigment indices. Candidate gene analysis at this locus identified the co-localization of a LEA_2/NDR1-like gene and a lectin receptor-like kinase with multiple genes involved in terpenoid, phenylpropanoid and primary metabolism, consistent with integrated roles in stress signaling and metabolic acclimation. These data show that vegetation indices are heritable digital phenotypes, which can be employed for the selection and genetic analysis of essential physiological growth parameters under varying and adverse climatic conditions.

plant biology↗

bioRxiv2026

A cryptic hybrid zone reveals the genomic basis of flower colour variation in a plant with a large and complex genome

Flower colour is known to be a classic magic trait, undergoing divergent selection pressures exerted by distinct pollinators and involved in reproductive isolation. However, variation at this trait may also results from other eco-evolutionary factors whose interpretation requires throughout context-specific analyses. Here, we investigated the eco-evolutionary causes of pink- and yellow-flowered morphs in Pedicularis comosa where their parapatric ranges form a contact zone in the East of the Pyrenees Mountains. First, we generated a near-chromosome-scale reference genome assembly for this species. We then used a Genotyping By Sequencing approach to infer patterns of genetic diversity and differentiation between populations and morphs at a total of 158 individuals from 11 localities. We found that neutral genetic structure is primarily consistent with geography rather than with colour. However, admixture analyses and clines suggest the existence of a cryptic hybrid zone between morphs. Outlier detection methods and examination of locus-by-locus cline features, then allowed to pinpoint candidate loci to explain colour variation. To gain insight into the functional aspects of these loci, we finally analysed floral transcriptomes and quantified pigments using Liquid Chromatography coupled with Mass Spectrometry (LC-MS) and confirmed the involvement of key genes in the anthocyanin metabolic pathway (e.g. DFR, FLS) and associated pigments (e.g. cyanidin and delphinidin). Our results show that implementing a highly integrative multi-omic approach can allow unraveling the genetic basis and the eco-evolutionary significance of adaptive traits with even very limited previous knowledge, on species with large and complex genomes.

evolutionary biology↗