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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 Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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At least 631 records · Page 35Linked to original sources

bioRxiv2025

Genome-wide CRISPR knockout screen reveals the landscape of essential genes across the porcine genome

1Characterization of essential genes across the genome is fundamental to understanding cellular functions at a molecular level. While significant progress has been made in characterizing essential genes in human and mouse models, relatively little is known about essential genes in the porcine genome. Pigs are an important production species and are now emerging as valuable models for studying human diseases due to their physiological similarities to humans. To map essential genes across the porcine genome, we have developed a novel porcine genome-wide CRISPR knockout screening library (pGeCKO) and applied it to two porcine cell lines, PK15 and IPEC-J2. We identified 2,245 essential genes in PK15 cells and 919 essential genes in IPEC-J2 cells, with 683 of these shared between both cell lines. Functional analyses revealed that most essential genes are involved in core cellular processes such as cell cycle regulation, DNA replication, transcription, and translation. Comparative analysis with human essential genes from the DepMap project revealed that over half of the genes are shared with humans and the rest are porcine-specific. These porcine-specific essential genes included genes in core functional pathways related to protein and RNA processing as well as many related to N-glycan biosynthesis, signal transduction, and several long-noncoding RNAs. This work provides a new resource for leveraging porcine models in disease research, enhancing our understanding of porcine genetics and its implications for human health.

genomics↗

bioRxiv2025

An extensive and unbiased genome-wide scan for parent-of-origin expressed genes in the pig clarifies the conservation landscape of genomic imprinting

Genomic imprinting, a mechanism resulting in parent-of-origin expression of genes through epigenetic regulation, intersects with a broad range of biological fields including evolution, molecular genetics and epigenetics and determinism of complex traits. Although next generation sequencing technologies enable nowadays to detect imprinted genes in a genome-wide manner, a wide spectrum of this phenomena is evaluated only in humans and mice. Here, we propose to map genes showing a parental expression bias in hypothalamus, muscle and placenta in piglets around birth using an extensive and unbiased strategy that relied on reciprocal crosses, genetics reconstruction of parental phases after imputation and statistical analyses discriminating parent-of-origin from allele-specific expression. We detected 440 unique genes with a weak to exclusive parental expression bias including 114 unique genes with an imbalance ratio above 25:75. About thirty imprinted genes are common to human and/or mice and an equivalent number is shared between tissues, suggesting an overall weak conservation landscape of genomic imprinting. Interestingly, we identified novel parent-of-origin expressed genes involved in neurodevelopmental (PITRM1, Pitrilysin Metallopeptidase 1) and fetal growth (FAM20B, Glycosaminoglycan Xylosylkinase and POU6F2, POU Class 6 Homeobox 2) functions. In addition, deeper analyses of specific loci likely highlighted lineage-specific imprinted genes such as a Zinc Finger Protein 300-like gene as well as specific imprinted isoforms of COPG2 (COPI Coat Complex Subunit Gamma 2), a gene showing conflicting data in the literature. Altogether, our results bring pig as the most comprehensively and exhaustively documented species for genomic imprinting after human and mice organisms. A weak conservation of this mechanism across species and tissues suggested a distinction between a small number of core imprinted genes and others parent-of-origin expressed genes that seemed subjected to evolutionary forces for acquiring their imprinting status either in a lineage-specific or tissue-specific manner.

genomics↗

bioRxiv2025

Comparative analysis of whole genome amplification kits for single cell genome analysis

Whole genome amplification (WGA) enables detailed analysis of genomic heterogeneity at the cellular level. Here, we systematically compare two commercially available WGA technologies on single cells; Multiple Displacement Amplification in the Qiagen REPLI-g kit (MDA/REPLI-g) and Primary Template-directed Amplification in the BioSkryb ResolveDNA kit (PTA/ResolveDNA). Beyond quality control and genomic profiling, we assessed a cost-effective array-based approach as a complement to low-pass sequencing. Consistent with available benchmarks, PTA/ResolveDNA sequencing libraries consistently outperformed MDA/REPLI-g across quality metrics, including genome coverage breadth and uniformity. CNV calls from PTA-cells showed higher accuracy and sensitivity, including reliable detection of small CNVs at low sequencing depth. SNP array-based analysis corroborated sequencing-based findings, and additionally provided allelic information. Notably, CNV detection from SNP arrays matched the performance of low-pass sequencing, supporting its utility as an cost-effective approach for WGA quality control and single-cell CNV profiling.

genomics↗

bioRxiv2018

The Medical Genome Reference Bank: a whole-genome data resource of 4,000 healthy elderly individuals. Rationale and cohort design

Allele frequency data from human reference populations is of increasing value for filtering and assignment of pathogenicity to genetic variants. Aged and healthy populations are more likely to be selectively depleted of pathogenic alleles, and therefore particularly suitable as a reference populations for the major diseases of clinical and public health importance. However, reference studies of the healthy elderly have remained under-represented in human genetics. We have developed the Medical Genome Reference Bank (MGRB), a large-scale comprehensive whole-genome dataset of confirmed healthy elderly individuals, to provide a publicly accessible resource for health-related research, and for clinical genetics. It also represents a useful resource for studying the genetics of healthy aging. The MGRB comprises 4,000 healthy, older individuals with no reported history of cancer, cardiovascular disease or dementia, recruited from two Australian community-based cohorts. DNA derived from blood samples will be subject to whole genome sequencing. The MGRB will measure genome-wide genetic variation in 4,000 individuals, mostly of European decent, aged 60-95 years (mean age [≥] 75 years). The MGRB has committed to a policy of data sharing, employing a hierarchical data management system to maintain participant privacy and confidentiality, whilst maximizing research and clinical usage of the database. The MGRB will represent a dataset of international significance, broadly accessible to the clinical and genetic research community.

genomics↗

bioRxiv2018

Unbiased genome-scale identification of cis-regulatory modules in the human genome by GRAMc

Although significant advances have been made toward functionally identifying human regulatory elements, existing genome-scale reporter methods preferentially detect either enhancers or promoters. Here we develop GRAMc, a highly reproducible unbiased Genome-scale Reporter Assay Method for cis-regulatory modules (CRMs). GRAMc combines the versatility of traditional reporter constructs and the scalability of DNA barcode reporters, and unites the complementary advantages of several currently available high-throughput reporter assays. We demonstrate that GRAMc can reliably measure cis-regulatory activity of nearly 90% of the human genome in 200 million HepG2 cells with randomly fragmented ~800bp inserts. By using the GRAMc-identified CRMs, we show that CRMs identified in one cell type are useful for predicting gene regulatory programs not only within that cell type but also between cell types or conditions separated in time and space. In addition, the GRAMc-identified CRMs support the hypothesis that SINE/Alu elements are rich sources of regulatory evolution. Finally, the observation that the majority of experimentally identified regulatory elements do not overlap with computationally predicted elements underscores the necessity of an efficient and unbiased genome-scale reporter assay.

genomics↗

bioRxiv2018

G-OnRamp: A Galaxy-based platform for creating genome browsers for collaborative genome annotation

SummaryG-OnRamp provides a user-friendly, web-based platform for collaborative, end-to-end annotation of eukaryotic genomes using UCSC Assembly Hubs and JBrowse/Apollo genome browsers with evidence tracks derived from sequence alignments, ab initio gene predictors, RNA-Seq data, and repeat finders. Researchers can use the G-OnRamp output to visualize large genomics datasets, and can utilize the output to drive collaborative genome annotation projects in both research and educational settings.\n\nAvailability and ImplementationThe G-OnRamp virtual machine images and tutorials are freely available on the G-OnRamp web site (http://g-onramp.org/deployments). The G-OnRamp source code is freely available under an Academic Free License version 3.0 through the goeckslab GitHub repository (https://github.com/goeckslab).\n\nContactgoecksj@ohsu.edu\n\nSupplementary information:

genomics↗

bioRxiv2019

Pseudogenization, genome streamlining and specific gene repertoire landmark the genomes of Carnobacterium maltaromaticum isolated from diseased sharks

Carnobacterium maltaromaticum is a well-known pathogen of bony fish. More recently, C. maltaromaticum have been isolated from the brain and inner ear of disorientated and stranded common thresher (Alopias vulpinus) and salmon shark (Lamna ditropis). While thresher shark strandings are recent, salmon sharks have been stranding for decades, suggesting a long-term association between C. maltaromaticum and sharks. Interestingly, some strains of C. maltaromaticum are used by the food industry for their probiotic and antimicrobial activity. Here, we sequenced the genome of 9 C. maltaromaticum strains (SK-isolates) from diseased common thresher and salmon sharks and compared them to other C. maltaromaticum strains in order to identify the genomic signatures that differentiate the disease-associated from the innocuous C. maltaromaticum isolates. SK strains formed a monophyletic clade, with a conserved gene repertoire, and shared a high degree of pseudogenization even though isolates were from different shark species, locations, and across years. In addition, these strains displayed few virulence associated genes and unique genomic regions, some resulting from horizontal gene transfer. The association of diseased sharks and SK strains suggests their role as potential pathogens. Although the high degree of pseudogenization suggests a transition to a host-adapted lifestyle, a set of conserved functional genes highlights the need of essential functions required for a host-independent life style. Globally, this work identifies specific genomic signatures of C. maltaromaticum strains isolated from infected sharks, provides the framework to elucidate the role of SK strains in the development of the disease in sharks, and further investigate the dissemination of SK strains in populations of wild fish.

genomics↗

bioRxiv2019

Transposons played a major role in the diversification between the closely related almond (Prunus dulcis) and peach (P. persica) genomes: Results from the almond genome sequence

Combining both short and long-read sequencing, we have estimated the almond Prunus dulcis cv. Texas genome size in 235 Mbp and assembled 227.6 Mb of its sequence. The highly heterozygous compact genome of Texas comprises eight chromosomes, to which we have anchored over 91% of the assembly. We annotated 27,042 protein-coding genes and 6,800 non-coding transcripts. High levels of genetic variability were characterized after resequencing a collection of ten almond accessions. Phylogenomic comparison with the genomes of 16 other close and distant species allowed estimating that almond and peach diverged around 5.88 Mya. Comparison between peach and almond genomes confirmed the high synteny between these close relatives, but also revealed high numbers of presence-absence variants, many attributable to the movement of transposable elements (TEs). The number and distribution of TEs between peach and almond was similar, but the history of TE movement was distinct, with peach having a larger proportion of recent transpositions and almond preserving a higher level of polymorphism in the older TEs. When focusing on specific genes involved in key characters such as the bitter vs. sweet kernel taste and the formation of a fleshy mesocarp, we found that for one gene associated with the biosynthesis of amygdalin that confers the bitter kernel taste, several TEs were inserted in its vicinity only in sweet almond cultivars but not in bitter cultivars and Prunus bitter kernel relatives, including P. webbii, P. mume, and other species like peach and cherry. TE insertions likely to produce affects in the expression of six more genes involved in the formation of the fleshy mesocarp were also identified. Altogether, our results suggest a key role of TEs in the recent history and diversification of almond with respect to peach.

genomics↗

bioRxiv2019

Low coverage whole genome sequencing enables accurate assessment of common variants and calculation of genome-wide polygenic scores

BackgroundThe inherited susceptibility of common, complex diseases may be caused by rare, monogenic pathogenic variants or by the cumulative effect of numerous common, polygenic variants. As such, comprehensive genome interpretation could involve two distinct genetic testing technologies -- high coverage next generation sequencing for known genes to detect pathogenic variants and a genome-wide genotyping array followed by imputation to calculate genome-wide polygenic scores (GPSs). Here we assessed the feasibility and accuracy of using low coverage whole genome sequencing (lcWGS) as an alternative to genotyping arrays to calculate GPSs.\n\nMethodsFirst, we performed downsampling and imputation of WGS data from ten individuals to assess concordance with known genotypes. Second, we assessed the correlation between GPSs for three common diseases -- coronary artery disease (CAD), breast cancer (BC), and atrial fibrillation (AF) -- calculated using lcWGS and genotyping array in 184 samples. Third, we assessed concordance of lcWGS-based genotype calls and GPS calculation in 120 individuals with known genotypes, selected to reflect diverse ancestral backgrounds. Fourth, we assessed the relationship between GPSs calculated using lcWGS and disease phenotypes in 11,502 European individuals seeking genetic testing.\n\nResultsWe found imputation accuracy r2 values of greater than 0.90 for all ten samples -- including those of African and Ashkenazi Jewish ancestry -- with lcWGS data at 0.5X. GPSs calculated using both lcWGS and genotyping array followed by imputation in 184 individuals were highly correlated for each of the three common diseases (r2 = 0.93 - 0.97) with similar score distributions. Using lcWGS data from 120 individuals of diverse ancestral backgrounds, including South Asian, East Asian, and Hispanic individuals, we found similar results with respect to imputation accuracy and GPS correlations. Finally, we calculated GPSs for CAD, BC, and AF using lcWGS in 11,502 European individuals, confirming odds ratios per standard deviation increment in GPSs ranging 1.28 to 1.59, consistent with previous studies.\n\nConclusionsHere we show that lcWGS is an alternative approach to genotyping arrays for common genetic variant assessment and GPS calculation. lcWGS provides comparable imputation accuracy while also overcoming the ascertainment bias inherent to variant selection in genotyping array design.

genomics↗

bioRxiv2019

Complete chloroplast genomes of 14 mangroves: phylogenetic and genomic comparative analyses

Mangroves are main components of an ecosystem which connect land and ocean and is of significant ecological importance. They are found around the world and taxonomically distributed in 17 families. Until now there has been no evolutionary phylogenetic analyses on mangroves based on complete plastome sequences. In order to infer the relationship between mangroves and terrestrial plants at the molecular level, we generated chloroplast genomes of 14 mangrove species from eight families, spanning six orders: Fabales (Pongamia pinnata), Lamiales (Avicennia marina), Malpighiales (Excoecaria agallocha, Bruguiera sexangula, Kandelia obovata, Rhizophora stylosa, Ceriops tagal), Malvales (Hibiscus tiliaceus, Heritiera littoralis, Thespesia populnea), Myrtales (Laguncularia racemose, Sonneratia ovata, Pemphis acidula), and Sapindales (Xylocarpus moluccensis). The whole-genome length of these chloroplasts is from 149kb to 168kb. They have a conserved structure, with two Inverted Repeat (IRa and IRb, ~25.8kb), a large single-copy region (LSC, ~89.0kb), a short single-copy (SSC, ~18.9kb) region, as well as ~130 genes (85 protein-coding, 37 tRNA, and 8 rRNA). The number of simple sequence repeats (SSRs) varied between mangrove species. Phylogenetic analysis using complete chloroplast genomes of 71 mangrove and land plants, confirmed the previously reported phylogeny within rosids, including the positioning of obscure families such as Linaceae within Malpighiales. Most mangrove chloroplast genes are conserved and we found six genes subjected to positive or neutral selection. Genomic comparison showed IR regions have lower divergence than other regions. Our study firstly reported several plastid genetic resource for mangroves, and the determined evolutionary locations as well as comparative analyses of these species provid insights into the mangrove genetic and phylogenetic research.

genomics↗

bioRxiv2019

Human Reference Genome and a High Contiguity Ethnic Genome AK1

Studies have shown that the current human reference genome (GRCh38) might miss information for some populations, but \"exactly what we miss\" is still elusive due to the lower contiguity of non-reference genomes. We juxtaposed the GRCh38 with high contiguity genome assemblies, AK1, to show that [~]1.8% ([~]53.4 Mbp) of AK1 sequences missed in GRCh38 with [~]0.76% ([~]22.2 Mbp) of ectopic chromosomes. The unique AK1 sequences harbored [~]1,390 putative coding elements. We found that [~]5.3Mb ([~]0.2%) of the AK1 sequences aligned and recovered the \"unmapped\" reads of fourteen individuals (5 East-Asians, 4 Europeans, and 5 Africans) as a reference. The regions that \"unmapped\" reads aligned included 110 common (shared between [≥]2 individuals) and 38 globally ([≥]7 individuals) missing regions with 25 candidate coding elements. We verified that many of the common missing regions exist in multiple populations and chimpanzees DNA. Our study illuminates not only the discovery of missing information but the use of highly precise ethnic genomes in understanding human genetics.

genomics↗

bioRxiv2019

Genome Report: De novo assembly of a high-quality reference genome for the Horned Lark (Eremophila alpestris)

The Horned Lark (Eremophila alpestris) is a species of small songbird that exhibits remarkable geographic variation in appearance and habitat across an expansive distribution. While E. alpestris and related species have been the focus of many ecological and evolutionary studies, we still lack a highly contiguous genome assembly for horned larks and related taxa (Alaudidae). Here, we present CLO_EAlp_1.0, a highly contiguous assembly for horned larks generated from blood samples of a wild, male bird captured in the Altiplano Cundiboyacense of Colombia. By combining short-insert and mate-pair libraries with the ALLPATHS-LG genome assembly pipeline, we generated a 1.04 Gb assembly comprised of 2708 contigs with an N50 of 10.58 Mb and a L50 of 29. After polishing the genome, we were able to identify 94.5% of single-copy gene orthologs from an Aves data set and 97.7% of single-copy gene orthologs from a vertebrata data set, indicating that our de novo assembly is near complete. We anticipate that this genomic resource will be useful to the broader ornithological community and those interested in studying the evolutionary history and ecological interactions of a widespread, yet understudied lineage of songbirds.

genomics↗

bioRxiv2025

Genome assembly and population genomic analysis of Aegilops caudata uncover a rich source for disease and insect pest resistance for wheat improvement

Aegilops caudata L. is a rich source of resistance genes to major wheat pathogens and pests, yet its complex genome structure and lack of a reference sequence have hindered genetic analysis, gene discovery, and introgression. Here, we report a high-quality genome sequence assembly of Ae. caudata accession S740-69, integrated with optical mapping to precisely delineate introgressed segments from structurally altered genomic regions in wheat-Ae. caudata translocation lines carrying a novel stem rust resistance gene. Resequencing and phenotyping of 95 diverse accessions, coupled with k-mer-based association mapping, enabled population-level identification of several novel loci for resistance to wheat pests and diseases, such as greenbug and stem rust. Virus-induced gene silencing confirmed Aecau6C01G127270 (SrAect1) as the first functionally characterized stem rust resistance gene from Ae. caudata. This new genomic framework provides a foundation for systematic mining of resistance genes in this species and their efficient introgression into wheat.

genomics↗

bioRxiv2025

Foundational genomic resources for date palm: A gap-free, telomere-to-telomere phased assembly of Ajwa and 19 high-quality genome assemblies of Phoenix dactylifera.

Phoenix dactylifera L. is an economically, nutritionally, and culturally important fruit crop in the arid and semi-arid regions of the Middle East and North Africa. Here, we present a gap-free, telomere-to-telomere reference genome of the variety Ajwa, along with 19 additional high-quality assemblies (18 female and 1 male). These assemblies reveal novel chromosomal structures validated through cytogenetics, Hi-C, optical mapping, and synteny analyses with other palm genomes. Chromosome names were revised based on average lengths across all sequenced genomes. The Sex Determination Region (SDR) on chromosome 14 was confirmed through male-specific k-mer analysis, spanning approximately 14.7 Mb. Nucleolar organizing regions (NORs) were localized on chromosome 10, where a large 45S rDNA locus displayed unique repeat spacer motifs containing transposon-like sequences. In some accessions, a second NOR was identified on the female sex chromosome. This collection of date palm assemblies, anchored by the Ajwa reference genome, provides a critical resource for advancing breeding strategies aimed at enhancing the genetic resilience and productivity of date palm.

genomics↗

bioRxiv2026

Genome-wide annotation and analyses of bifunctional genes in the human genome

Conventional gene annotation pipelines classify eukaryotic genes into protein-coding and non-coding. Alternative splicing may generate non-coding transcript variants from protein-coding genes, that are expressed in tissue- or disease- specific manner. We and others have described the genes which transcribe both coding and non-coding transcripts as bifunctional genes. Here we present a genome-wide analyses of bifunctional genes and reannotate the genes in the human genome reference assembly into coding, non-coding and bifunctional. We identify over 4000 bifunctional genes in the human genome, constituting approximately 10% of the transcribed genes, and present evidence that these genes are conserved in evolution and their number correlate well with genome size and complexity. These genes are enriched in gene sets involved in vesicular transport, autophagy, RNA/DNA binding, glycosylation and splicing. By monitoring the expression of non-coding exons in long-read sequencing datasets and by quantitative RT-PCR, we provide evidence for the expression of non-coding variants from bifunctional genes. The ncRNA transcripts from these genes might have similar or different roles from their cognate mRNA counterparts. They may act as miRNA sponges or harbour non-canonical open-reading frames that encode microproteins, while also competing for binding with RNA-binding proteins. We present evidence for establishing potential biological functions of bifunctional genes and summarise the findings in a searchable database. Further studies and functional characterization focused on this special group of genes may reveal interesting gene regulatory mechanisms relevant to physiology and pathology.

genomics↗

bioRxiv2026

Unbiased Long-Read Whole-Genome Sequencing Enables High-Resolution Mapping of Transgene Concatenation and Off-target Genomic Disruption in a Mouse Model

Transgenic mouse models are indispensable for dissecting disease mechanisms; yet, their interpretability is frequently compromised by cryptic genomic alterations introduced during transgenesis. Thus, robust quality control strategies are needed to elucidate integration architecture and evaluate model performance when such unintended events occur. Here, we applied unbiased whole-genome long-read sequencing using the PacBio Revio to investigate a mouse model exhibiting unexpected transgene silencing, originally designed to recapitulate autosomal-dominant hereditary macular dystrophy driven by upregulation of a ZZEF1-ALOX15 fusion gene. Long-read sequencing analysis revealed a [≥]29-kb head-to-tail concatemer containing more than three copies of the transgene vector. Reconstruction of transgene-genome junctions revealed off-target integration of the concatemer into the calcium-sensing receptor gene (Casr), along with exogenous E. coli DNA, that together defined final transgene architecture. 5-methylcytosine profiling identified hypermethylation of the transgene promoter and additional phenotyping indicated disruption of endogenous Casr function resulting from the rearrangement. Our workflow enabled direct detection of transgene concatenation and off-target mapping. These findings establish long-read sequencing as a powerful and scalable quality control standard for genetically engineered animal models, uniquely capable of uncovering hidden genomic complexity, resolving aberrant phenotypes, and enhancing the reliability of in vivo disease modelling.

genomics↗

bioRxiv2026

Integrating Genome-Wide Association Analysis, Functional Annotation and Regulatory Genomics for the Prioritization of Candidate Variants Associated with Grain Yield in Upland Rice

Grain yield is a highly complex quantitative trait in rice, resulting from the interaction of multiple genetic, physiological and environmental factors. Although genome-wide association studies (GWAS) have successfully identified loci associated with grain yield, translating statistical associations into biologically meaningful candidate variants remains a major challenge, particularly for variants located in regulatory regions. This study aimed to identify genomic variants associated with grain yield in upland rice and to develop an integrative framework for functionally prioritizing candidate variants through the combination of genome-wide association analysis, functional annotation and regulatory genomics. A panel of 252 accessions from the Brazilian Rice Core Collection was phenotyped for grain yield and genotyped with 35,763 single nucleotide polymorphism (SNP) markers. GWAS identified 29 SNPs significantly associated with grain yield, including 16 variants located within or near annotated genes and 13 located in intergenic regions. The identified candidate genes were involved in signal perception, metabolite transport, amino acid and energy metabolism, hormone biosynthesis, protein turnover, RNA processing and disease resistance, highlighting the polygenic architecture of grain yield. Functional characterization of the intergenic regions revealed enrichment of cis-regulatory elements recognized by transcription factors associated with hormonal signaling, drought response, carbon metabolism, photosynthesis and reproductive development, indicating that regulatory variation represents an important component of grain yield determination. By integrating GWAS signals, candidate gene annotation, cis-regulatory element characterization and the physical proximity between SNPs and cis-regulatory elements, an integrative prioritization strategy identified seven intergenic SNPs as the most promising candidates for functional validation. Together, these findings establish a robust framework for discovering, prioritizing and functionally validating regulatory variants, bridging the gap between statistical associations and biological function while providing a rational strategy for translating GWAS discoveries into molecular breeding of complex traits.

genomics↗

bioRxiv2015

IDENTIFICATION OF GENOMIC REGIONS CARRYING A CAUSAL MUTATION IN UNORDERED GENOMES

Whole genome sequencing using high-throughput sequencing (HTS) technologies offers powerful opportunities to study genetic variation. Mapping the mutations responsible for different phenotypes is generally an involved and time-consuming process so researchers have developed user-friendly tools for mapping-by-sequencing, yet they are not applicable to organisms with non-sequenced genomes. We introduce SDM (SNP Distribution Method), a reference independent method for rapid discovery of mutagen-induced mutations in typical forward genetic screens. SDM aims to order a disordered collection of HTS reads or contigs such that the fragment carrying the causative mutation can be identified. SDM uses typical distributions of homozygous SNPs that are linked to a phenotype-altering SNP in a non-recombinant region as a model to order the fragments. To implement and test SDM, we created model genomes with an idealised SNP density based on Arabidopsis thaliana chromosome 1 and analysed fragments with size distribution similar to reads or contigs assembled from HTS sequencing experiments. SDM groups the contigs by their normalised SNP density and arranges them to maximise the fit to the expected SNP distribution. We tested the procedure in existing datasets by examining SNP distributions in recent out-cross and back-cross experiments in Arabidopsis thaliana backgrounds. In all the examples we analysed, homozygous SNPs were normally distributed around the causal mutation. We used the real SNP densities obtained from these experiments to prove the efficiency and accuracy of SDM. The algorithm was able to successfully identify small sized (10-100 kb) genomic regions containing the causative mutation.

Bioinformatics↗