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bioRxiv2017

Integrating genomic resources for a threatened Caribbean coral (Orbicella faveolata) using a genetic linkage map developed from individual larval genotypes

Genomic methods are powerful tools for studying evolutionary responses to selection, but the application of these tools in non-model systems threatened by climate change has been limited by the availability of genomic resources in those systems. High-throughput DNA sequencing has enabled development of genome and transcriptome assemblies in non-model systems including reef-building corals, but the fragmented nature of early draft assemblies often obscures the relative positions of genes and genetic markers, and limits the functional interpretation of genomic studies in these systems. To address this limitation and improve genomic resources for the study of adaptation to ocean warming in corals, weve developed a genetic linkage map for the mountainous star coral, Orbicella faveolata. We analyzed genetic linkage among multilocus SNP genotypes to infer the relative positions of markers, transcripts, and genomic scaffolds in an integrated genomic map. To illustrate the utility of this resource, we tested for genetic associations with bleaching responses and fluorescence phenotypes, and estimated genome-wide patterns of population differentiation. Mapping the significant markers identified from these analyses in the integrated genomic resource identified hundreds of genes linked to significant markers, highlighting the utility of this resource for genomic studies of corals. The functional interpretations drawn from genomic studies are often limited by the availability of genomic resources linking genes to genetic markers. The resource developed in this study provides a framework for comparing genetic studies of O. faveolata across genotyping methods or references, and illustrates an approach for integrating genomic resources that may be broadly useful in other non-model systems.

genomics↗
bioRxiv2020

Peel-1 negative selection promotes screening-free CRISPR-Cas9 genome editing in Caenorhabditis elegans.

Improved genome engineering methods that enable automation of large and precise edits are essential for systematic investigations of genome function. We adapted peel-1 negative selection to an optimized Dual-Marker Selection (DMS) cassette protocol for CRISPR-Cas9 genome engineering in Caenorhabditis elegans and observed robust increases in multiple measures of efficiency that were consistent across injectors and four genomic loci. The use of Peel-1-DMS selection killed animals harboring transgenes as extrachromosomal arrays and spared genome edited integrants, often circumventing the need for visual screening to identify genome edited animals. To demonstrate the applicability of the approach, we created deletion alleles in the putative proteasomal subunit pbs-1 and the uncharacterized gene K04F10.3 and used machine vision to automatically characterize their phenotypic profiles, revealing homozygous essential and heterozygous behavioral phenotypes. These results provide a robust and scalable approach to rapidly generate and phenotype genome edited animals without the need for screening or scoring by eye. Author summaryThe ability to directly manipulate the genome and observe the resulting effects on the traits of an organism is a powerful approach to investigate gene function. CRISPR-based approaches to genome engineering have revolutionized such functional studies across model organisms but still face major challenges that limit the scope and complexity of projects that can be achieved in practice. Automating genome engineering and phenotyping would enable large-scale investigations of genome function in animals. Here, we describe the adaptation of peel-1 negative selection to an optimized dual-marker selection cassette CRISPR-Cas9 genome engineering method in C. elegans and combine it with automated machine vision phenotyping to achieve functional studies without the need for screening or scoring by eye. To demonstrate the applicability of the approach, we generated novel deletion alleles in two understudied genes, pbs-1 and K04F10.3, and used machine vision to characterize their phenotypic profiles, revealing homozygous lethal and heterozygous behavioral phenotypes. Our results open the door to systematic investigations of genome function in this model organism.

genomics↗
bioRxiv2020

Insights into dispersed duplications and complex structural mutations from whole genome sequencing 706 families

Two intriguing forms of genome structural variation (SV) - dispersed duplications, and de novo rearrangements of complex, multi-allelic loci - have long escaped genomic analysis. We describe a new way to find and characterize such variation by utilizing identity-by-descent (IBD) relationships between siblings together with high-precision measurements of segmental copy number. Analyzing whole-genome sequence data from 706 families, we find hundreds of "IBD-discordant" (IBDD) CNVs: loci at which siblings CNV measurements and IBD states are mathematically inconsistent. We found that commonly-IBDD CNVs identify dispersed duplications; we mapped 95 of these common dispersed duplications to their true genomic locations through family-based linkage and population linkage disequilibrium (LD), and found several to be in strong LD with genome-wide association (GWAS) signals for common diseases or gene expression variation at their revealed genomic locations. Other CNVs that were IBDD in a single family appear to involve de novo mutations in complex and multi-allelic loci; we identified 26 de novo structural mutations that had not been previously detected in earlier analyses of the same families by diverse SV analysis methods. These included a de novo mutation of the amylase gene locus and multiple de novo mutations at chromosome 15q14. Combining these complex mutations with more-conventional CNVs, we estimate that segmental mutations larger than 1kb arise in about one per 22 human meioses. These methods are complementary to previous techniques in that they interrogate genomic regions that are home to segmental duplication, high CNV allele frequencies, and multi-allelic CNVs. Author SummaryCopy number variation is an important form of genetic variation in which individuals differ in the number of copies of segments of their genomes. Certain aspects of copy number variation have traditionally been difficult to study using short-read sequencing data. For example, standard analyses often cannot tell whether the duplicated copies of a segment are located near the original copy or are dispersed to other regions of the genome. Another aspect of copy number variation that has been difficult to study is the detection of mutations in the copy number of DNA segments passed down from parents to their children, particularly when the mutations affect genome segments which already display common copy number variation in the population. We develop an analytical approach to solving these problems when sequencing data is available for all members of families with at least two children. This method is based on determining the number of parental haplotypes the two siblings share at each location in their genome, and using that information to determine the possible inheritance patterns that might explain the copy numbers we observe in each family member. We show that dispersed duplications and mutations can be identified by looking for copy number variants that do not follow these expected inheritance patterns. We use this approach to determine the location of 95 common duplications which are dispersed to distant regions of the genome, and demonstrate that these duplications are linked to genetic variants that affect disease risk or gene expression levels. We also identify a set of copy number mutations not detected by previous analyses of sequencing data from a large cohort of families, and show that repetitive and complex regions of the genome undergo frequent mutations in copy number.

genomics↗
bioRxiv2020

Gigantic Genomes Can Provide Empirical Tests of TE Dynamics Models -- An Example from Amphibians

Transposable elements (TEs) are a major determinant of eukaryotic genome size. The collective properties of a genomic TE community reveal the history of TE/host evolutionary dynamics and impact present-day host structure and function, from genome to organism levels. In rare cases, TE community/genome size has greatly expanded in animals, associated with increased cell size and altered anatomy and physiology. We characterize the TE landscape of the genome and transcriptome in an amphibian with a giant genome -- the caecilian Ichthyophis bannanicus, which we show has a genome size of 12.2 Gb. Amphibians are an important model system because the clade includes independent cases of genomic gigantism. The I. bannanicus genome differs compositionally from other giant amphibian genomes, but shares a low rate of ectopic-recombination-mediated deletion. We examine TE activity using expression and divergence plots; TEs account for 15% of somatic transcription, and most superfamilies appear active. We quantify TE diversity in the caecilian, as well as other vertebrates with a range of genome sizes, using diversity indices commonly applied in community ecology. We synthesize previous models integrating TE abundance, diversity, and activity, and we test whether the caecilian meets model predictions for genomes with high TE abundance. We propose thorough, consistent characterization of TEs to strengthen future comparative analyses. Such analyses will ultimately be required to reveal whether the divergent TE assemblages found across convergent gigantic genomes reflect fundamental shared features of TE/host genome evolutionary dynamics.

genomics↗
bioRxiv2020

A New and Improved Genome Sequence of Cannabis sativa

Cannabis is a diploid species (2n = 20), the estimated haploid genome sizes of the female and male plants using flow cytometry are 818 and 843 Mb respectively. Although the genome of Cannabis has been sequenced (from hemp, wild and high-THC strains), all assemblies have significant gaps. In addition, there are inconsistencies in the chromosome numbering which limits their use. A new comprehensive draft genome sequence assembly (~900 Mb) has been generated from the medicinal cannabis strain Cannbio-2, that produces a balanced ratio of cannabidiol and delta-9-tetrahydrocannabinol using long-read sequencing. The assembly was subsequently analysed for completeness by ordering the contigs into chromosome-scale pseudomolecules using a reference genome assembly approach, annotated and compared to other existing reference genome assemblies. The Cannbio-2 genome sequence assembly was found to be the most complete genome sequence available based on nucleotides assembled and BUSCO evaluation in Cannabis sativa with a comprehensive genome annotation. The new draft genome sequence is an advancement in Cannabis genomics permitting pan-genome analysis, genomic selection as well as genome editing.

genomics↗
bioRxiv2021

Transposable elements contribute to genome dynamics and gene expression variation in the fungal plant pathogen Verticillium dahliae

Transposable elements (TEs) are a major source of genetic and regulatory variation in their host genome and are consequently thought to play important roles in evolution. Many fungal and oomycete plant pathogens have evolved dynamic and TE-rich genomic regions containing genes that are implicated in host colonization. TEs embedded in these regions have typically been thought to accelerate the evolution of these genomic compartments, but little is known about their dynamics in strains that harbor them. Here, we used whole-genome sequencing data of 42 strains of the fungal plant pathogen Verticillium dahliae to systematically identify polymorphic TEs that may be implicated in genomic as well as in gene expression variation. We identified 2,523 TE polymorphisms and characterize a subset of 8% of the TEs as dynamic elements that are evolutionary younger, less methylated, and more highly expressed when compared with the remaining 92% of the TE complement. As expected, the dynamic TEs are enriched in the dynamic genomic regions. Besides, we observed an association of dynamic TEs with pathogenicity-related genes that localize nearby and that display high expression levels. Collectively, our analyses demonstrate that TE dynamics in V. dahliae contributes to genomic variation, correlates with expression of pathogenicity-related genes, and potentially impacts the evolution of dynamic genomic regions. Significance statementTransposable elements (TEs) are ubiquitous components of genomes and are major sources of genetic and regulatory variation. Many plant pathogens have evolved TE-rich genomic regions containing genes with roles in host colonization, and TEs are thought to contribute to accelerated evolution of these dynamic regions. We analyzed the fungal plant pathogen Verticillium dahliae to identify TE variation between strains and to demonstrate that polymorphic TEs have specific characteristic that separates them from the majority of TEs. Polymorphic TEs are enriched in dynamic genomic regions and are associated with structural variants and highly expressed pathogenicity-related genes. Collectively, our results provide evidence for the hypothesis that dynamic TEs contribute to increased genomic diversity, functional variation, and the evolution of dynamic genomic regions.

genomics↗
bioRxiv2021

Ancient migrations - The first complete genome assembly, annotation and variants of the Zoroastrian-Parsi community of India

With the advent of Next Generation Sequencing, many population specific whole genome sequences published thus far, predominantly represent individuals of European ancestry. While sequencing efforts of underrepresented communities in genomes datasets, like the Yoruba West-African, Han Chinese, Tibetan, South Korean, Egyptian and Japanese have recently added to the public genomic repositories, a comprehensive understanding of human genomic diversity and discovery of trait-associated variants necessitates the need for additional population specific analysis. In this context, the genomics of the population from the Indian sub-continent, given its genetic heterogeneity needs further elucidation. In this context, the endogamous Zoroastrian-Parsi community of India, offer an exceptional insight into a homogenous population that has culturally, socially, and genetically remained intact, for 13 centuries amidst the genomic, social and cultural Indian landscape, consequent to their migration from the ancient Persian plateau. Notwithstanding longevity as a trait, this endangered community is highly susceptible to cancers, rare genetic disorders, and display a documented high incidence of neurodegenerative and autoimmune conditions. The community as a matter of cultural practice abstains from smoking. Here, we describe the assembly and annotation of the genome of an adult female, Zoroastrian-Parsi individual sequenced at a high depth of 173X using a combination of short Illumina reads (160X) and long nanopore reads (13X). Using a combination of hybrid assemblers, we created a new, population-specific human reference genome, The Zoroastrian-Parsi Genome Reference Female, AGENOME-ZPGRF, contains 2,778,216,114 nucleotides as compared to 3,096,649,726 in GRCh38 constituting 93.235% of the total genomic fraction. Annotation identified 20833 genomic features, of which 14996 are almost identical to their counterparts on GRCh38 while 5837 genomic features were covered in partial. AGENOME-ZPGRF contained 5,426,310 variants of which the majority were SNPs (4,291,601) and 960,867 SNPs were AGENOME-ZPGRF specific personal variants not listed in dbSNP. We present, AGENOME-ZPGRF as a whole reference for any genetic studies involving Zoroastrian-Parsi individuals extending their application to identify disease relevant prognostic biomarkers and variants in global population genomics studies.

genomics↗
bioRxiv2021

Towards a genome sequence for every animal: where are we now?

In less than 25 years, the field of animal genome science has transformed from a discipline seeking its first glimpses into genome sequences across the Tree of Life to a global enterprise with ambitions to sequence genomes for all of Earths eukaryotic diversity (1). As the field rapidly moves forward, it is important to take stock of the progress that has been made to best inform the disciplines future. In this Perspective, we provide a contemporary, quantitative overview of animal genome sequencing. We identified the best available genome assemblies on GenBank, the worlds most extensive genetic database, for 3,278 unique animal species across 24 phyla. We assessed taxonomic representation, assembly quality, and annotation status for major clades. We show that while tremendous taxonomic progress has occurred, stark disparities in genomic representation exist, highlighted by a systemic overrepresentation of vertebrates and underrepresentation of arthropods. In terms of assembly quality, long-read sequencing has dramatically improved contiguity, whereas gene annotations are available for just 34.3% of taxa. Furthermore, we show that animal genome science has diversified in recent years with an ever-expanding pool of researchers participating. However, the field still appears to be dominated by institutions in the Global North, which have been listed as the submitting institution for 77% of all assemblies. We conclude by offering recommendations for how we can collectively improve genomic resource availability and value while also broadening global representation. Significance statementThe field of animal genome science is rapidly developing, and efforts are underway to sequence genomes for all of Earths eukaryotic biodiversity. Here, we provide an overview of animal genome sequencing, with emphases on taxonomic representation, assembly quality, and geographic representation. We show that while a staggering 3,278 unique animal species have had their genomes sequenced, massive disparities exist in terms of the taxonomic groups receiving attention, the quality of the resources being produced, and the institutions driving the field. We highlight areas where improvements can be made, notably by continuing to increase the quality of genome assemblies, including by improving metadata and voucher specimen associations, and actively developing meaningful collaborations between researchers form the Global North and South.

genomics↗
bioRxiv2021

Insights from the genomes of four diploid Camelina spp.

Plant evolution has been a complex process involving hybridization and polyploidization making understanding the origin and evolution of a plants genome challenging even once a published genome is available. The oilseed crop, Camelina sativa (Brassicaceae), has a fully sequenced allohexaploid genome with three unknown ancestors. To better understand which extant species best represent the ancestral genomes that contributed to C. sativas formation, we sequenced and assembled chromosome level draft genomes for four diploid members of Camelina: C. neglecta C. hispida var. hispida, C. hispida var. grandiflora and C. laxa using long and short read data scaffolded with proximity data. We then conducted phylogenetic analyses on regions of synteny and on genes described for Arabidopsis thaliana, from across each nuclear genome and the chloroplasts to examine evolutionary relationships within Camelina and Camelineae. We conclude that C. neglecta is closely related to C. sativas sub-genome 1 and that C. hispida var. hispida and C. hispida var. grandiflora are most closely related to C. sativas sub-genome 3. Further, the abundance and density of transposable elements, specifically Helitrons, suggest that the progenitor genome that contributed C. sativas sub-genome 3 maybe more similar to the genome of C. hispida var. hispida than that of C. hispida var. grandiflora. These diploid genomes show few structural differences when compared to C. sativas genome indicating little change to chromosome structure following allopolyploidization. This work also indicates that C. neglecta and C. hispida are important resources for understanding the genetics of C. sativa and potential resources for crop improvement.

genomics↗
bioRxiv2021

Transposable element diversity remains high in gigantic genomes

Transposable elements (TEs) are repetitive sequences of DNA that replicate and proliferate throughout genomes. Taken together, all the TEs in a genome form a diverse community of sequences, which can be studied to draw conclusions about genome evolution. TE diversity can be measured using models for ecological community diversity that consider species richness and evenness. Several models predict TE diversity decreasing as genomes expand because of selection against ectopic recombination and/or competition among TEs to garner host replicative machinery and evade host silencing mechanisms. Salamanders have some of the largest vertebrate genomes and highest TE loads. Salamanders of the genus Plethodon, in particular, have genomes that range in size from 20 to 70 Gb. Here, we use Oxford Nanopore sequencing to generate low-coverage genomic sequences for four species of Plethodon that encompass two independent genome expansion events, one in the eastern clade (P. cinereus, 29.3 Gb vs. P. glutinosus, 38.9 Gb) and one in the western clade (P. vehiculum, 46.4 Gb vs P. idahoensis, 67.0 Gb). We classified the TEs in these genomes and found ~52 TE superfamilies, accounting for 27-32% of the genomes. We calculated Simpsons and Shannons diversity indices to quantify overall TE diversity. In both pairwise comparisons, the diversity index values for the smaller and larger genome were almost identical. This result indicates that, when genomes reach extremely large sizes, they maintain high levels of TE diversity at the superfamily level, in contrast to predictions made by previous studies on smaller genomes.

genomics↗
bioRxiv2021

Genomic adaptation in the CAZyome and specialised metabolism of the plant-associated Streptomyces violaceusniger clade

Streptomycetes are Gram-positive actinobacteria largely represented in the plant root microbiota. The genetic determinants involved in the presence of Streptomyces in the rhizosphere are mostly unknown but can rely on the ability to release phytohormones, degrade plant cell-wall polysaccharides and produce specialised metabolites. Here we sequenced the genome of the rhizospheric and plant defence-stimulating strain Streptomyces sp. AgN23. We found out that it belongs to the soil and plant root dwelling S. violaceusniger clade. The genome annotation of AgN23 revealed the ability of the bacterium to synthesise auxin, a major regulator of plant development, to degrade plant cell wall with a large repertoire of carbohydrate degrading enzymes and to produce antimicrobials (rustmicin, mediomycin, niphimycin, nigericin) and plant bioactive compounds (nigericin, echosides, elaiophylin) through a set of biosynthetic gene clusters. We also found that these genomic features are well-conserved among members of the S. violaceusniger clade. In addition, AgN23 display original events of biosynthetic gene clusters acquisitions and losses which may account for its beneficial effect on plants. Taken together, our work supports the hypothesis that hydrolytic enzymes and specialised metabolites repertoires underpin the interaction of bacteria belonging to the S. violaceusniger clade with plant roots within the rhizosphere. Impact statementStreptomycetes are filamentous Gram-positive bacteria universally found around and within host plant tissues. These actinobacteria have been extensively investigated for their tremendous ability to produce diverse specialised metabolites (e.g., antibiotics). By contrast their impact on host plant physiology is widely neglected. Whether specific lineage of Streptomyces colonise host plant and what are the underlying molecular mechanisms is poorly documented. Here we report a chromosome-scale assembly of AgN23 genome, a Streptomyces sp. strain previously characterised for its ability to activate the plant immune system. This reference sequence enabled us to position AgN23 in the S. violaceusniger clade from which several representatives have been isolated worldwide from the rhizosphere of unrelated plants. Comparative genomic studies suggest that S. violaceusniger spp. produce a prominent CAZyome with expansion of plant cell wall degrading enzymes families and a conserved specialised metabolism acting on host plant physiology and its rhizospheric microbiota. These genomic features may underly S. violaceusniger spp. adaptation to the rhizopsheric niche. Data summaryThe raw reads sequences of AgN23 genome are available at NCBI on the Sequence Read Archive portal for PacBio and MiSeq data (SRR13990229 and SRR14028548 respectively). The Genome assembly is available on the NCBI nucleotide portal under the accession NZ_CP007153.1. This genome sequence was uploaded on the MicroScope platform for genome annotation and analysis (https://mage.genoscope.cns.fr/microscope/home/index.php) [1]. The RNA-seq raw reads are archived in the NCBI Bioproject PRJNA745930. The following eight supplementary tables are included in the online version of this article. Supplementary Information 1: Genomes used in this study. The accession number used from the NCBI portal, name, size, number of contigs as well as the level of completeness of the assembly are indicated. Supplementary Information 2: List of the single copy core genes used by autoMLST to build the phylogenetic tree in Figure 1. O_FIG O_LINKSMALLFIG WIDTH=161 HEIGHT=200 SRC="FIGDIR/small/465742v2_fig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@e15f3org.highwire.dtl.DTLVardef@c34218org.highwire.dtl.DTLVardef@1286956org.highwire.dtl.DTLVardef@1bb5b3_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1:C_FLOATNO Multi-locus sequence typing assigned AgN23 to the S. violaceusniger clade. Phylogenetic tree based on the multiple alignment of 85 single-copy homologous genes selected from genomic sequences with AutoMLST. The green node highlights the isolates considered to be from the same species (ANI>95%). The black node highlights the clade formed by isolates with ANI>90% as compared to AgN23. The black squares highlights the eight strains that were used for the BGC conservation study. The green logo indicates plant-isolated strains. Frankia alni ACN14a was used as outgroup, bootstrap=100. C_FIG Supplementary information 3: Annotation of AgN23 full chromosome. For each gene the frame of translation, sequence length and position on the chromosome are indicated. All genes were annotated according to the Microscope platform, see materials and methods. In addition, the expression for each gene is reported in transcripts per million (TPM) based on the the RNA-seq data from three biological replicates. Supplementary Information 4: Genomes having a Mash-based estimated ANI (Average Nucleotide Identity) superior or egal to 80% according to autoMLST. Supplementary Information 5: Prediction of the CAZyme encoding genes using HMMER dbCAN2. The genes are sorted according their CAZy families. For each gene, the begin position on the chromosome, the CAZy category, the annotation, the expression level in transcripts per million (TPM) and the predicted targets of the putative enzymes are described. Supplementary Information 6: Gene identified by antiSMASH in the region containing a biosynthetic gene cluster. Expression levels in transcripts per million (TPM) are indicated for each gene. Annotated central bioynthetic genes are indicated as Y. Those are the ones used for the calculation of mean BGC expression in Table 2. O_TBL View this table: org.highwire.dtl.DTLVardef@1362f24org.highwire.dtl.DTLVardef@50f792org.highwire.dtl.DTLVardef@1ad9681org.highwire.dtl.DTLVardef@1742e96org.highwire.dtl.DTLVardef@9e9b6c_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2:C_FLOATNO O_TABLECAPTIONantiSMASH annotation of AgN23 chromosomal regions coding for Biosynthetic Gene Clusters. The functional category of each BGCs was determined by antiSMASH. The BGC type, best hit in the MIBiG database as its percentage of similarity to the query are indicated along with the bacterial strain from whom the cluster was described. The expression level of each BGCs was determined by doing the mean of the expression level in Transcripts Per Million (TPM) of the core biosynthetic genes of each BGC from the RNA-seq data (n=3). C_TABLECAPTION C_TBL Supplementary Information 7: Annotation of AgN23 genes putatively involved in biosynthetic pathways for Auxins related phytohomones. Expression levels in transcripts per million (TPM) are indicated for each gene. The genes were detected by blasting reference KEGG sequences for each KEGG ONTOLOGY against AgN23 genes. A cut off of 70% identity and 40% coverage was applied to detect positive hits. These biosynthetic pathways and the KEGG ONTOLOGY are indicated in column F and G. Supplementary Information 8: Inspection of BiG-FAM hits with AgN23 BGCs to identify homologous BGCs found outside the S. violaceusniger clade. BiG-FAM distance higher than 900 were excluded from the analysis. The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

genomics↗
bioRxiv2022

Genomic signatures of selection associated with benzimidazole drug treatments in Haemonchus contortus field populations

Genome-wide methods offer a powerful approach to detect signatures of drug selection in parasite populations in the field. However, their application to parasitic nematodes has been limited because of both a lack of suitable reference genomes and the difficulty of obtaining field populations with sufficiently well-defined drug selection histories. Consequently, there is little information on the genomic signatures of drug selection for parasitic nematodes in the field and on how best to detect them. This study was designed to address these knowledge gaps using field populations of Haemonchus contortus with well-defined and contrasting benzimidazole-selection histories, leveraging a recently completed chromosomal-scale reference genome assembly. We generated a panel of 49,393 ddRADseq markers and used this resource to genotype 20 individual H. contortus adult worms from each of four H. contortus populations: two from closed sheep flocks that had an approximately 20-year history of frequent treatment exclusively with benzimidazole drugs, and two populations with a history of little or no drug treatment. The populations were chosen from the same geographical region to limit population structure in order to maximize the sensitivity of the approach. A clear signature of selection was detected on the left arm of chromosome I centered on the isotype-1 {beta}-tubulin gene in the benzimidazole-selected but not the unselected populations. Two additional, but weaker, signatures of selection were detected; one near the middle of chromosome I and one near the isotype-2 {beta}-tubulin locus on chromosome II. We examined genetic differentiation between populations, and nucleotide diversity and linkage disequilibrium within populations to define these two additional regions as encompassing five genes and a single gene. We also compared the relative power of using pooled versus individual worm sequence data to detect genomic selection signatures and how sensitivity is impacted by sequencing depth, worm number, and population structure. In summary, this study used H. contortus field populations with well-defined drug selection histories to provide the first direct genome-wide evidence for any parasitic nematode that the isotype-1 {beta}-tubulin gene is the quantitatively most important benzimidazole resistance locus. It also identified two additional genomic regions that likely contain benzimidazole-resistance loci of secondary importance. Finally, this study provides an experimental framework to maximize the power of genome-wide approaches to detect signatures of selection driven by anthelmintic drug treatments in field populations of parasitic nematodes. AUTHOR SUMMARYBenzimidazoles are important anthelmintic drugs for human and animal parasitic nematode control with [~]0.5 billion children at risk of infection treated annually worldwide. Drug resistance is common in livestock parasites and a growing concern in humans. Haemonchus contortus is the most important model parasite system used to study anthelmintic resistance and a significant livestock pathogen. It is also one of the few parasitic nematodes with a chromosomal-scale genome assembly. We have undertaken genome-wide scans using a dense RADseq marker panel on worms from natural field populations under differing levels of benzimidazole selection. We show that there is a single predominant genomic signature of selection in H. contortus associated with benzimidazole selection centred on the isotype-1 {beta}-tubulin locus. We also identify two weaker signatures of selection indicative of secondary drug resistance loci. Additionally, we assess the minimum data requirements for parameters including worm number, sequence depth, marker density needed to detect the signatures of selection and compare individual to Poolseq analysis. This work is the first genome-wide study in a parasitic nematode to provide direct evidence of the isotype-1 {beta}-tubulin locus being the single predominant benzimidazole resistance locus and provides an experimental framework for future population genomic studies on anthelmintic resistance.

genomics↗
bioRxiv2022

Comparison of R9.4.1/Kit10 and R10/Kit12 Oxford Nanopore flowcells and chemistries in bacterial genome reconstruction

2.Complete, accurate, cost-effective, and high-throughput reconstruction of bacterial genomes for large-scale genomic epidemiological studies is currently only possible with hybrid assembly, combining long- (typically using nanopore sequencing) and short-read (Illumina) datasets. Being able to utilise nanopore-only data would be a significant advance. Oxford Nanopore Technologies (ONT) have recently released a new flowcell (R10.4) and chemistry (Kit12), which reportedly generate per-read accuracies rivalling those of Illumina data. To evaluate this, we sequenced DNA extracts from four commonly studied bacterial pathogens, namely Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Staphylococcus aureus, using Illumina and ONTs R9.4.1/Kit10, R10.3/Kit12, R10.4/Kit12 flowcells/chemistries. We compared raw read accuracy and assembly accuracy for each modality, considering the impact of different nanopore basecalling models, commonly used assemblers, sequencing depth, and the use of duplex versus simplex reads. "Super accuracy" (sup) basecalled R10.4 reads - in particular duplex reads - have high per-read accuracies and could be used to robustly reconstruct bacterial genomes without the use of Illumina data. However, the per-run yield of duplex reads generated in our hands with standard sequencing protocols was low (typically <10%), with substantial implications for cost and throughput if relying on nanopore data only to enable bacterial genome reconstruction. In addition, recovery of small plasmids with the best-performing long-read assembler (Flye) was inconsistent. R10.4/Kit12 combined with sup basecalling holds promise as a singular sequencing technology in the reconstruction of commonly studied bacterial genomes, but hybrid assembly (Illumina+R9.4.1 hac) currently remains the highest throughput, most robust, and cost-effective approach to fully reconstruct these bacterial genomes. 3. Impact statementOur understanding of microbes has been greatly enhanced by the capacity to evaluate their genetic make-up using a technology known as whole genome sequencing. Sequencers represent microbial genomes as stretches of shorter sequence known as reads, which are then assembled using computational algorithms. Different types of sequencing approach have advantages and disadvantages with respect to the accuracy and length of the reads they generate; this in turn affects how reliably genomes can be assembled. Currently, to completely reconstruct bacterial genomes in a high-throughput and cost-effective manner, researchers tend to use two different types of sequencing data, namely Illumina (short-read) and nanopore (long-read) data. Illumina data are highly accurate; nanopore data are much longer, and this combination facilitates accurate and complete bacterial genomes in a so-called "hybrid assembly". However, new developments in nanopore sequencing have reportedly greatly improved the accuracy of nanopore data, hinting at the possibility of requiring only a single sequencing approach for bacterial genomics. Here we evaluate these improvements in nanopore sequencing in the reconstruction of four bacterial reference strains, where the true sequence is already known. We show that although these improvements are extremely promising, for high-throughput, low-cost complete reconstruction of bacterial genomes hybrid assembly currently remains the optimal approach. 4. Data summaryThe authors confirm all supporting data, code and protocols have been provided within the article, through supplementary data files, or in publicly accessible repositories. Nanopore fast5 and fastq data are available in the ENA under project accession: PRJEB51164. Assemblies have been made available at: https://figshare.com/articles/online_resource/q20_comparison_genome_assemblies/196838 67. Code and analysis outputs are available at: https://gitlab.com/ModernisingMedicalMicrobiology/assembly_comparison_analysis/-/tree/main (tagged version v0.5.5).

genomics↗
bioRxiv2022

Genomic prediction using machine learning: A comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data

The accurate prediction of genomic breeding values is central to genomic selection in both plant and animal breeding studies. Genomic prediction involves the use of thousands of molecular markers spanning the entire genome and therefore requires methods able to efficiently handle high dimensional data. Not surprisingly, machine learning methods are becoming widely advocated for and used in genomic prediction studies. These methods encompass different groups of supervised and unsupervised learning methods. Although several studies have compared the predictive performances of individual methods, studies comparing the predictive performance of different groups of methods are rare. However, such studies are crucial for identifying (i) groups of methods with superior genomic predictive performance and assessing (ii) the merits and demerits of such groups of methods relative to each other and to the established classical methods. Here, we comparatively evaluate the genomic predictive performance and computational cost of several groups of supervised machine learning methods, specifically, regularized regression methods, deep, ensemble and instance-based learning algorithms, using one simulated animal breeding dataset and three empirical maize breeding datasets obtained from a commercial breeding program. Our results show that the relative predictive performance and computational expense of the groups of machine learning methods depend upon both the data and target traits and that for classical regularized methods, increasing model complexity can incur huge computational costs but does not necessarily always improve predictive accuracy. Thus, despite their greater complexity and computational burden, neither the adaptive nor the group regularized methods clearly improved upon the results of their simple regularized counterparts. This rules out selection of one procedure among machine learning methods for routine use in genomic prediction. The results also show that, because of their competitive predictive performance, computational efficiency, simplicity and therefore relatively few tuning parameters, the classical linear mixed model and regularized regression methods are likely to remain strong contenders for genomic prediction. The dependence of predictive performance and computational burden on target datasets and traits call for increasing investments in enhancing the computational efficiency of machine learning algorithms and computing resources. Author summaryMachine learning methods are well suited for efficiently handling high dimensional data. Particularly, supervised machine learning methods have been successfully used in genomic prediction or genome-enabled selection. However, their comparative predictive accuracy is still poorly understood, yet this is a critical issue in plant and animal breeding studies given that increasing methodological complexity can substantially increase computational complexity or cost. Here, we show that predictive performance is both data and target trait dependent thus ruling out selection of one method for routine use in genomic prediction. We also show that for this reason, relatively low computational complexity and competitive predictive performance, the classical linear mixed model approach and regularized regression methods remain strong contenders for genomic prediction.

genomics↗
bioRxiv2022

Genome assembly of the acoel flatworm Symsagittifera roscoffensis, a model for research on photosymbiosis

Symsagittifera roscoffensis is a well-known member of the order Acoela that lives in symbiosis with the algae Tetraselmis convolutae during its adult stage. Its natural habitat is the eastern coast of the Atlantic, where at specific locations thousands of individuals can be found lying in large pools on the surface of sand at low tide and in the sandy interstitial web at high tide. As a member of the Acoela it has been used as a proxy for early bilaterian animals; however, its phylogenetic position remains debated. In order to understand the basic structural characteristics of the acoel genome, we sequenced and assembled the genome of aposymbiotic S. roscoffensis. The size of S. roscoffensis genome was measured to be in range 910 - 940 Mb. Sequencing of the genome was performed using PacBio Hi-Fi technology. Hi-C and RNA-seq data were also generated to scaffold and annotate the genome. The resulting assembly is 1.1 Gb large (covering 118% of the estimated genome size) and highly continuous, with N50 scaffold size of 1.04 Mb. The repetitive fraction of the genome is 61%, of which 85% (half of the genome) are LTR retrotransposons. Genome-guided transcriptome assembly identified 34,493 genes, of which 29,351 are protein coding (BUSCO score 97.6%), and 30.2% of genes are spliced leader (SL) trans-spliced. The completeness of this genome suggests that it can be used extensively to characterize gene families and conduct accurate phylogenomic reconstructions. SignificanceSymsagittifera is a representative of the phylum Acoela, the first offshoot of bilaterian animals. This key phylogenetic position adds an extra value to the knowledge of its genome, since it will inform us on how the genome of a bilaterian ancestor might have looked like. Moreover, Symsagittifera roscoffensis is a model organism used in symbiogenesis research. Host and algae can be cultured independently and, after mixing, the symbiosis can be followed. Symbiogenesis was established early on during the evolution of Metazoa. In spite of its biological relevance, very little is known on the molecular mechanisms that control it. Here the genome of the acoel host should provide us with insights on the first adaptations to symbiogenesis occurring in bilateral animals.

genomics↗
bioRxiv2022

The native mussel Mytilus chilensis genome reveals adaptative molecular signatures facing the marine environment.

The blue mussel Mytilus chilensis is a key socioeconomic species inhabiting the southern coast of Chile. This endemic marine mussel supports a booming aquaculture industry, which entirely relies on artificially collected seeds from natural beds that are translocated to a diverse physical-chemical ocean conditions for farming. Furthermore, mussel production is threatened by a broad range of microorganisms, pollution, and environmental stressors that eventually impact its survival and growth. Herein, understanding the genomic basis of the local adaption is pivotal to developing sustainable shellfish aquaculture. We present a high-quality reference genome of M. chilensis, which is the first chromosome-level genome for a Mytilidae member in South America. The assembled genome size was 1.93 Gb, with a contig N50 of 134 Mb. Through Hi-C proximity ligation, 11,868 contigs were clustered, ordered, and assembled into 14 chromosomes in congruence with the karyological evidence. The M. chilensis genome comprises 34,530 genes and 4,795 non-coding RNAs. A total of 57% of the genome contains repetitive sequences with predominancy of LTR-retrotransposons and unknown elements. Comparative genome analysis was conducted among M. chilensis and M. coruscus, revealing genic rearrangements distributed into the whole genome. Notably, Steamer-like elements associated with horizontal transmissible cancer were explored in reference genomes, suggesting putative phylogenetic relationships at the chromosome level in Bivalvia. Genome expression analysis was also conducted, showing putative genomic differences between two ecologically different mussel populations. Collectively, the evidence suggests that local genome adaptation can be analyzed to develop sustainable mussel production. The genome of M. chilensis provides pivotal molecular knowledge for the Mytilus complex evolution and will help to understand how climate change can impact mussel biology.

genomics↗
bioRxiv2022

Comparing Genomic and Epigenomic Features across Species Using the WashU Comparative Epigenome Browser

Genome browsers have become an intuitive and critical tool to visualize and analyze genomic features and data. Conventional genome browsers display data/annotations on a single reference genome/assembly; there are also genomic alignment viewer/browsers that help users visualize alignment, mismatch, and rearrangement between syntenic regions. However, there is a growing need for a comparative epigenome browser that can display genomic and epigenomic datasets across different species and enable users to compare them between syntenic regions. Here, we present the WashU Comparative Epigenome Browser (http://comparativegateway.wustl.edu). It allows users to load functional genomic datasets/annotations mapped to different genomes and display them over syntenic regions simultaneously. The browser also displays genetic differences between the genomes from single nucleotide variants (SNVs) to structural variants (SVs) to visualize the association between epigenomic differences and genetic differences. Instead of anchoring all datasets to the reference genome coordinates, it creates independent coordinates of different genome assemblies to faithfully present features and data mapped to different genomes. It uses a simple, intuitive genome-align track to illustrate the syntenic relationship between different species. It extends the widely used WashU Epigenome Browser infrastructure and can be expanded to support multiple species. This new browser function will greatly facilitate comparative genomic/epigenomic research, as well as support the recent growing needs to directly compare and benchmark the T2T CHM13 assembly and other human genome assemblies.

genomics↗
bioRxiv2023

Bioinformatic investigation of discordant sequence data for SARS-CoV-2: insights for robust genomic analysis during pandemic surveillance

The COVID-19 pandemic has necessitated the rapid development and implementation of whole genome sequencing (WGS) and bioinformatic methods for managing the pandemic. However, variability in methods and capabilities between laboratories has posed challenges in ensuring data accuracy. A national working group comprising 18 laboratory scientists and bioinformaticians from Australia and New Zealand was formed to improve data concordance across public health laboratories (PHLs). One effort, presented in this study, sought to understand the impact of methodology on consensus genome concordance and interpretation. Data were retrospectively obtained from the 2021 Royal College of Pathologists of Australasia Quality Assurance Programs (RCPAQAP) SARS-CoV-2 WGS proficiency testing program (PTP), which included 11 participating Australian laboratories. The submitted consensus genomes and reads from eight contrived specimen were investigated, focusing on discordant sequence data, and findings were presented to the working group to inform best practices. Despite using a variety of laboratory and bioinformatic methods for SARS-CoV-2 WGS, participants largely produced concordant genomes. Two participants returned five discordant sites in a high Ct replicate which could be resolved with reasonable bioinformatic quality thresholds. We noted ten discrepancies in genome assessment that arose from nucleotide heterogeneity at three different sites in three cell-culture derived control specimen. While these sites were ultimately accurate after considering the participants bioinformatic parameters, it presented an interesting challenge for developing standards to account for intrahost single nucleotide variation (iSNV). Observed differences had little to no impact on key surveillance metrics, lineage assignment and phylogenetic clustering, while genome coverage <90% affected both. We recommend PHLs bioinformatically generate two consensus genomes with and without ambiguity thresholds for quality control and downstream analysis, respectively, and adhere to a minimum 90% genome coverage threshold for inclusion in surveillance interpretations. We also suggest additional PTP assessment criteria, including primer efficiency, detection of iSNVs, and minimum genome coverage of 90%. This study underscores the importance of multidisciplinary national working groups in informing guidelines in real time for bioinformatic quality acceptance criteria. It demonstrates the potential for enhancing public health responses through improved data concordance and quality control in SARS-CoV-2 genomic analysis during pandemic surveillance. Data summaryThe authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files. Impact statementAmidst the COVID-19 pandemic, a unique collaboration between a national multidisciplinary working group and a quality assurance program facilitated ongoing development of standardized quality control criteria and analysis methods for high-quality SARS-CoV-2 genomic approaches across Australia. With this article, we shed light on the robustness of amplicon sequencing and analysis methods to produce highly concordant genomes, while also presenting additional assessment criteria to guide laboratories in identifying areas for improvement. Insights from this nationwide collaboration underscore the need for real-time knowledge-sharing and iterative refinements to quality standards, particularly as situations and methods evolve during a pandemic. While the spotlight is on SARS-CoV-2, the analyses and findings have universal implications for genomic surveillance during infectious disease outbreaks. As WGS becomes increasingly central in outbreak surveillance, continuous evaluation and collaboration, like that described here, are vital to ensure data accuracy and inform future public health responses.

genomics↗