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Biological and genomic resources for the cosmopolitan phytoplankton Bathycoccus: Insights into genetic diversity and major structural variations

1.Population-scale genome sequencing has become essential for exploring genetic diversity and adaptation, particularly in land plants. In contrast, eukaryotic phytoplankton resources remain limited to model reference genomes or community-level metagenomics, leaving a gap in understanding intraspecific variation and evolutionary processes. To address this, we developed a comprehensive biological and genomic resource for the cosmopolitan and ecologically important genus Bathycoccus. Extensive metagenomic data from across the world Ocean are available for this genus, and previous studies have identified four Bathycoccus species and reconstructed 34 metagenome-assembled genomes. Here we report 28 high-quality strain genome sequences using a combination of Oxford Nanopore Technologies long reads and Illumina short reads and associated biological resources. These include 24 Bathycoccus prasinos strains spanning a latitudinal gradient from 40{degrees} to 78{degrees}N, a reference genome for Bathycoccus calidus, and three genomes of the recently identified B3 clade, which we propose as the Bathycoccus catiminus species. Comparative analyses of sequenced genomes with MAGs highlight the complementarity between resources: while MAGs capture environmental diversity and uncover uncultured taxa, the cultured strain genomes provide complete, non-chimeric high-quality assemblies that resolve structural variations and haplotype-level diversity not detected in MAGs. These include the large outlier chromosome (BOC), a putative sexual chromosome revealing a second mating type, and extensive variability in the small outlier chromosome (SOC), associated with viral resistance and genome plasticity. Together, these biological and genomic resources establish Bathycoccus prasinos as a powerful model for studying diversity, adaptation, and evolution of eukaryotic phytoplankton in the ocean, complementing existing global metagenomic datasets. 2. Significance statementEukaryotic phytoplankton are key to ocean ecosystems, yet their intraspecific genomic diversity is poorly understood. We present 28 high-quality genomes and their annotations of the cosmopolitan microalga Bathycoccus, revealing whole genome structural variations, chromosomal haplotype diversity linked to mating and viral resistance, and offering a genomic framework that complements metagenomic data to establish this picoalga as a model for functional and ecological studies.

genomics↗

Genomic characterization of a pathogenic isolate of Saccharomyces cerevisiae reveals an extensive and dynamic landscape of structural variation

The budding yeast Saccharomyces cerevisiae has been extensively characterized for many decades and is a critical resource for the study of numerous facets of eukaryotic biology. Recently, the analysis of whole genome sequencing data from over 1000 natural isolates of S. cerevisiae has provided critical insights into the evolutionary landscape of this species by revealing a population structure comprised of numerous genomically diverse lineages. These survey-level analyses have been largely devoid of structural genomic information, mainly because short read sequencing is not suitable for detailed characterization of genomic architecture. Consequently, we still lack a complete perspective of the genomic variation the exists within the species. Single molecule long read sequencing technologies, such as Oxford Nanopore and PacBio, provide sequencing-based approaches with which to rigorously define the structure of a genome, and have empowered yeast geneticists to explore this poorly described realm of eukaryotic genomics. Here, we present the comprehensive genomic structural analysis of a pathogenic isolate of S. cerevisiae, YJM311. We used long read sequence analysis to construct a haplotype-phased, telomere-to-telomere length assembly of the YJM311 diploid genome and characterized the structural variations (SVs) therein. We discovered that the genome of YJM311 contains significant intragenomic structural variation, some of which imparts notable consequences to the genomic stability and developmental biology of the strain. Collectively, we outline a new methodology for creating accurate haplotype-phased genome assemblies and highlight how such genomic analyses can define the structural architectures of S. cerevisiae isolates. It is our hope that through continued structural characterization of S. cerevisiae genomes, such as we have reported here for YJM311, we will comprehensively advance our understanding of eukaryotic genome structure-function relationships, structural diversity, and evolution.

genomics↗

The genomic basis of host and vector specificity in non-pathogenic trypanosomatids

The ability of trypanosome parasites to survive and sustain infections is dependent on diverse and intricate immune evasion mechanisms. Pathogenic trypanosomes often have broad host niches that preclude identification of host specific adaptations. In contrast, some non-pathogenic species of the genus Trypanosoma have highly specific hosts and vectors. Trypanosoma theileri, a non-pathogenic parasite of bovines, has a predicted surface protein architecture that likely aids survival in its mammalian host, distinct from the dominant variant surface glycoprotein coat of pathogenic African trypanosomes. In both species, their surface proteins are encoded by genes which account for [~]10% of their genome. A non-pathogenic parasite of sheep, Trypanosoma melophagium, is transmitted by the sheep ked and is closely related to T. theileri. To explore host and vector specificity between these closely related species, we sequenced the T. melophagium genome and transcriptome and an annotated draft genome was assembled. T. melophagium was compared to 43 kinetoplastid genomes, including T. theileri. T. melophagium and T. theileri have an AT biased genome, the greatest bias of publicly available trypanosomatids. This trend may result from selection acting to decrease the genome nucleotide cost. The T. melophagium genome is 6.3Mb smaller than T. theileri and large families of proteins, characteristic of the predicted surface of T. theileri, were found to be absent or greatly reduced in T. melophagium. Instead, T. melophagium has modestly expanded protein families associated with the avoidance of complement-mediated lysis. The genome of T. melophagium contains core genes required for development, glycolysis, RNA interference, and meiotic exchange, each being shared with T. theileri. Comparisons between T. melophagium and T. theileri provide insight into the specific adaptations of these related trypanosomatids to their distinct mammalian hosts and arthropod vectors. Author summaryNon-pathogenic trypanosomes can have narrow host niches, with closely related trypanosome species expanding into distinct mammalian host and insect vectors. T. theileri, a non-pathogenic trypanosome of bovines, is predicted to have an intricate cell surface which allows it to evade the immune response of its mammalian host. In contrast, T. melophagium is closely related to T. theileri but infects sheep and is transmitted by the sheep ked rather than tabanid flies that transmit T. theileri. Here, we sequence and assemble the T. melophagium genome to identify the genomic basis of host and vector specificity in these non-pathogenic trypanosomes. We confirm the two species are closely related, however, T. melophagium has a smaller genome than T. theileri. Most of the discrepancy in genome size is due to an expansion of putative cell surface genes in T. theileri. The differential investment in cell surface proteins could be due to a focus on adaptation to the mammalian host in T. theileri and the insect host in T. melophagium. Data summaryThe genomes, transcriptomes and proteomes used in this study were accessed from the TriTrypDB repository or NCBI. T. theileri genome sequencing data was downloaded from NCBI SRA (SRR13482812). T. melophagium data generated during this study is available from the NCBI BioProject PRJNA786535. RepositoriesT. melophagium DNA and RNA sequencing data, along with the draft genome assembly and its annotation, can be found under the NCBI BioProject PRJNA786535.

genomics↗

Genome dynamics in mosses: Extensive synteny coexists with a highly dynamic gene space

BackgroundWhile genome evolutionary processes of seed plants are intensively investigated, very little is known about seed-free plants in this respect. Here, we use one of the largest groups of seed-free plants, the mosses, and newly generated chromosome-scale genome assemblies to investigate three poorly known aspects of genome dynamics and their underlying processes in seed-free plants: (i) genome size variation, (ii) genomic collinearity/synteny, and (iii) gene set differentiation. ResultsComparative genomic analyses on the model moss Physcomitrium (Physcomitrella) patens and two genomes of Funaria hygrometrica reveal that, like in seed plants, genome size change (approx. 140 Mbp) is primarily due to transposable element expansion/contraction. Despite 60 million years of divergence, the genomes of P. patens and F. hygrometrica show remarkable chromosomal stability with the majority of homologous genes located in conserved collinear blocks. In addition, both genomes contain a relatively large set of lineage-specific genes with no detectible homologs in the other species genome, suggesting a highly dynamic gene space fueled by the process of de novo gene birth and loss rather than by gene family diversification/duplication. ConclusionsThese, combined with previous observations suggest that genome dynamics in mosses involves the coexistence of a collinear homologous and a highly dynamic species-specific gene sets. Besides its significance for understanding genome evolution, the presented chromosome-scale genome assemblies will provide a foundation for comparative genomic and functional studies in the Funariaceae, a family holding historical and contemporary model taxa in the evolutionary biology of mosses.

genomics↗

New estimates of genome size in Orthoptera and their evolutionary implications

Animal genomes vary widely in size, and much of their architecture and content remains poorly understood. Even among related groups, such as orders of insects, genomes may vary in size by orders of magnitude - for reasons unknown. The largest known insect genomes were repeatedly found in Orthoptera, e.g., Podisma pedestris (1C = 16.93 pg), Stethophyma grossum (1C = 18.48 pg) and Bryodemella holdereri (1C = 18.64 pg). While all these species belong to the suborder of Caelifera, the ensiferan Deracantha onos (1C = 19.60 pg) was recently found to have the largest genome. Here, we present new genome size estimates of 50 further species of Ensifera (superfamilies Gryllidea, Tettigoniidea) and Caelifera (Acrididae, Tetrigidae) based on flow cytometric measurements. We found that Bryodemella tuberculata (Caelifera: Acrididae) has the so far largest measured genome of all insects with 1C = 21.96 pg (21.48 gBp). Species with 2n = 16 and 2n = 22 chromosomes have significantly larger genomes than species with other chromosome counts. Gryllidea genomes vary between 1C = 0.95 and 2.88 pg, and Tetrigidae between 1C = 2.18 and 2.41, while the genomes of all other studied Orthoptera range in size from 1C = 1.37 to 21.96 pg. Reconstructing ancestral genome sizes based on a phylogenetic tree of mitochondrial genomic data, we found genome size values of >15.84 pg only for the nodes of Bryodemella holdereri / B. tuberculata and Chrysochraon dispar / Euthystira brachyptera. The predicted values of ancestral genome sizes are 6.19 pg for Orthoptera, 5.37 pg for Ensifera, and 7.28 pg for Caelifera. The reasons for the large genomes in Orthoptera remain largely unknown, but a duplication seems unlikely as chromosome numbers do not differ. Sequence-based genomic studies may shed light on the underlying evolutionary mechanisms.

genomics↗

The first complete assembly for a lungless urodelan with a "miniaturized" genome, the Northern Dusky Salamander (Plethodontidae: Desmognathus fuscus)

Salamanders have some of the largest genomes among animals. However, there is a great disparity in total size, ranging from [~]8-120GB depending on the lineage. Species in the lungless genus Desmognathus (Plethodontidae) are among the smallest, with estimated genome sizes of 13-15GB. Salamander genomes have exceptional interest in numerous topics ranging from genome-size evolution, the genetic basis of evolutionary differences in life history, and the physiological basis of regeneration, vision, and immunity. However, their large genomes have limited previous attempts at sequencing and assembly, particularly given the difficulties of mapping extensive repeat regions with short-read data. Here we assemble a draft genome of Desmognathus fuscus using PacBio HiFi reads and generate transcriptomic data from two specimens. The combined assembly resulted in a 16.1GB genome in 19,640 contigs and an N/L50 of 2,455/1.75MB, with the longest contig at 27.9MB. The assembly and transcriptome are nearly complete with 93% of the 5,310 BUSCO tetrapod orthologs identified. Attempts to scaffold these data to the existing Ambystoma genome resulted in only 5.8GB of the D. fuscus genome mapping to this reference. This low success suggests substantial syntenic and sequence divergence across salamanders, which may be the result of significant miniaturization in the Desmognathus genome. Identification and annotation of transposable elements reveals that only 26% of the genome is single copy with 74% corresponding to TEs. The most common class of TE in the genome are LTRs (35% of the total genome) and LINEs ([~]15% of the genome). The relative divergence landscape of these TEs shows an early expansion and slow contraction of LINEs, followed by a quick recent expansion of both LTRs and DNA transposons. This assembly will serve as an important reference for amphibian genomics.

genomics↗

Comparison of gene-by-gene and genome-wide short nucleotide sequence based approaches to define the global population structure of Streptococcus pneumoniae

Defining the population structure of a pathogen is a key part of epidemiology, as genomically related isolates are likely to share key clinical features such as antimicrobial resistance profiles and invasiveness. Multiple different methods are currently used to cluster together closely- related genomes, potentially leading to inconsistency between studies. Here, we use a global dataset of 26,306 S. pneumoniae genomes to compare four clustering methods: gene-by- gene seven-locus multi-locus sequencing typing (MLST), core genome MLST (cgMLST)- based hierarchical clustering (HierCC) assignments, Life Identification Number (LIN) barcoding, and k-mer-based PopPUNK clustering (known as GPSCs in this species). We compare the clustering results with phylogenetic and pan-genome analyses to assess their relationship with genome diversity and evolution, as we would expect a good clustering method to form a single monophyletic cluster that has high within-cluster similarity of genomic content. We show that the four methods are generally able to accurately reflect the population structure based on these metrics, and that the methods were broadly consistent with each other. We investigated further to study the discrepancies in clusters. The greatest concordance was seen between LIN barcoding and HierCC (Adjusted Mutual Information Score = 0.950), which was expected given that both methods utilise cgMLST, but have different methods for defining an individual cluster and different core genome schema. However, the existence of differences between the two methods show that the selection of a core genome schema can introduce inconsistencies between studies. GPSC and HierCC assignments were also highly concordant (AMI = 0.946), showing that k-mer based methods which use the whole genome and do not require the careful selection of a core genome schema are just as effective at representing the population structure. Additionally, where there were differences in clustering between these methods, this could be explained by differences in the accessory genome that were not identified in cgMLST. We conclude that for S. pneumoniae, standardised and stable nomenclature is important as the number of genomes available expands. Furthermore, the research community should transition away from seven- locus MLST, and cgMLST, GPSC, and LIN assignments should be used more widely. However, to allow for easy comparison between studies and to make previous literature relevant, the reporting of multiple clustering names should be standardised within research. Data summaryGenome sequences are deposited in the European Nucleotide Archive (ENA); accession numbers. Metadata of the pneumococcal isolates in this study have been submitted as a supplementary file and are also available on the Monocle Database available at https://data.monocle.sanger.ac.uk/. The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files. Impact StatementUsing a global dataset of S. pneumoniae genomes allows us to thoroughly observe and analyse discrepancies between different clustering methods. Whilst all methods in this study are used to cluster S. pneumoniae genomes, no study has yet thoroughly compared the clustering results and discrepancies. This work summarises the strengths and weaknesses of the different methods and highlights the need for consistency between studies.

genomics↗

From Fragmentation to Resolution: High-Fidelity Genome Assembly of Zancudomyces culisetae through Comparative Insights from PacBio, Nanopore, and Illumina Sequencing

Zancudomyces culisetae is an obligate symbiotic fungus inhabiting the digestive tracts of aquatic insect larvae, including black flies, midges, and mosquitoes. With a global distribution and high prevalence in disease-transmitting insects, Z. culisetae serves as a model for studying insect gut fungi. A previous draft genome assembly using Illumina short reads provided insights into its genome composition, such as a low GC ratio and evidence of horizontal gene transfer. However, its fragmented nature has limited deeper exploration of the evolutionary mechanisms shaping these gut symbionts. To address this gap, we generated a wealth of genomic resources for Z. culisetae using multiple sequencing platforms, including Illumina, Oxford Nanopore, PacBio-CLR (Complete Long Reads), and PacBio-HiFi (High Fidelity). This also provides an opportunity to compare these popular sequencing methods to suggest the optimal approach for fungal genome assembly. Our results suggest that PacBio-HiFi produced the most complete assembly, yielding a 27.8 Mb genome size with 26 contigs, representing the highest-quality genome of insect gut fungi to date. Additionally, we generated transcriptomic data to support genome annotation, identifying 8,484 protein-coding genes. Despite the improved genome quality, Z. culisetae lacks approximately 20% of Benchmarking Universal Single-Copy Orthologue (BUSCO) commonly found in fungi, reflecting adaptations to its obligate symbiotic lifestyle. This study not only provides valuable genomic resources for insect gut fungal research but also evaluates the strengths and limitations of current genome sequencing and assembly approaches, offering best practices for fungal genome analysis and genetic research. Article SummaryMosquito larvae harbor gut-dwelling fungi that may influence their development and disease transmission. Zancudomyces culisetae is a widespread fungal symbiont of mosquitoes, but its genome remained incomplete. This study explored and compared popular sequencing technologies, including Illumina, Oxford Nanopore, PacBio-CLR, and PacBio-HiFi, to generate a high-quality genome, alongside the first transcriptomic data. PacBio-HiFi produced the most complete assembly (27.8 Mb, 26 contigs) with 8,484 protein-coding genes, though [~]20% of core fungal genes were absent, reflecting symbiotic adaptation. This study establishes a genomic foundation for insect gut-dwelling fungi and evaluates available sequencing and assembly strategies for high-quality fungal genome production.

genomics↗

One species, two genomes: A critical assessment of inter isolate variation and identification of assembly incongruence in Haemonchus contortus

BackgroundNumerous quality issues may compromise genomic datas representation of its underlying organism. In this study, we compared two genomes published by different research groups for the parasitic nematode Haemonchus contortus, corresponding to divergent isolates. We analyzed differences between the genomes, attempting to ascertain which were attributable to legitimate biological differences, and which to technical error in one or both genomes.\n\nResultsWe found discrepancies between the H. contortus genomes in both assembly and annotation. The genomes differed in representation of genes that are highly conserved across eukaryotes, with clear evidence of misassembly underlying conserved genes missing from one genome or the other. Only 45% of genes in one genome were orthologous to genes in the other genome, with one genome exhibiting almost as much orthology to C. elegans as its counterpart H. contortus strain. The two genomes differed substantially in probable causes underlying this unexpectedly low orthology. One genome included many more inparalogues than the other, and more frequently assembled inparalogues together on the same portions of contiguous sequence. It also exhibited cases of better-conserved gene position relative to C. elegans.\n\nConclusionThe discrepancies between the two genomes far exceeded those expected as a consequence of biological differences between the two H. contortus isolates. This implies substantial quality issues in one or both genomes, suggesting that researchers must exercise caution when using genomic data for newly sequenced species.

genomics↗

A haplotype-resolved, chromosome-scale genome assembly and annotation for Carya glabra (pignut hickory; Juglandaceae)

Carya glabra (2n = 4x = 64), also known as pignut hickory, is a widely distributed species in the walnut family (Juglandaceae). Native to the central and eastern United States and southeastern Canada, C. glabra plays an important ecological role as a common upland forest species; it is closely related to several economically valuable nut trees, including C. illinoinensis (pecan). A deeper understanding of the genetics of C. glabra is essential for studying its evolutionary history and biology, with potential implications for agricultural improvement of pecan. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased, representing the first assembled polyploid genome in the genus Carya. A total of 64 pseudochromosomes were assembled and phased into four haplotypes. The haplotype A assembly spans 600.4 Mb, comprises 55.0% repetitive sequences, and contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Functional annotation assigned 94.3% of haplotype A genes to gene families, and 79.7% and 86.3% of genes were annotated with Gene Ontology terms and protein domains, respectively; 635 putative plant disease resistance genes were found in haplotype A. The other three haplotypes exhibited similarly high-quality annotation metrics. Our genomic analyses also suggest that C. glabra is an autotetraploid. Comparative genomic analyses revealed high collinearity among the four haplotypes of C. glabra and the published genomes of three other Carya species, although structural variation among the genomes of these species was identified. In addition, we provide an improved chloroplast genome assembly and the first mitochondrial genome for C. glabra. Importantly, most members of the research team are undergraduate students; the sequenced individual is located in McCarty Woods, a Conservation Area on the University of Florida campus. This work highlights the value of genome assembly efforts as powerful tools for teaching genomics and supporting conservation initiatives. This first high-quality reference genome for C. glabra provides a valuable resource for studying Carya, a genus of significant ecological and economic importance. Article summaryCarya glabra (pignut hickory) is a common upland forest species in North America. This species is a member of the walnut family (Juglandaceae), which includes many economically important nut trees. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased. The haplotype A assembly contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Our genomic analyses suggest that C. glabra is an autopolyploid. We also provide chloroplast and mitochondrial genome assemblies. This nuclear genome provides a valuable resource for studying Carya, a genus of significant ecological and economic importance.

genomics↗

Reconstruction of ancestral genomes in presence of gene gain and loss.

Since most dramatic genomic changes are caused by genome rearrangements as well as gene duplications and gain/loss events, it becomes crucial to understand their mechanisms and reconstruct ancestral genomes of the given genomes. This problem was shown to be NP-complete even in the \"simplest\" case of three genomes, thus calling for heuristic rather than exact algorithmic solutions. At the same time, a larger number of input genomes may actually simplify the problem in practice as it was earlier illustrated with MGRA, a state-of-the-art software tool for reconstruction of ancestral genomes of multiple genomes.\n\nOne of the key obstacles for MGRA and other similar tools is presence of breakpoint reuses when the same breakpoint region is broken by several different genome rearrangements in the course of evolution. Furthermore, such tools are often limited to genomes composed of the same genes with each gene present in a single copy in every genome. This limitation makes these tools inapplicable for many biological datasets and degrades the resolution of ancestral reconstructions in diverse datasets.\n\nWe address these deficiencies by extending the MGRA algorithm to genomes with unequal gene contents. The developed next-generation tool MGRA2 can handle gene gain/loss events and shares the ability of MGRA to reconstruct ancestral genomes uniquely in the case of limited breakpoint reuse. Furthermore, MGRA2 employs a number of novel heuristics to cope with higher breakpoint reuse and process datasets inaccessible for MGRA. In practical experiments, MGRA2 shows superior performance for simulated and real genomes as compared to other ancestral genomes reconstruction tools. The MGRA2 tool is distributed as an open-source software and can be downloaded from GitHub repository http://github.com/ablab/mgra/. It is also available in the form of a web-server at http://mgra.cblab.org, which makes it readily accessible for inexperienced users.

Bioinformatics↗

Inferring synteny between genome assemblies: a systematic evaluation

Identification of synteny between genomes of closely related species is an important aspect of comparative genomics. However, it is unknown to what extent draft assemblies lead to errors in such analysis. To investigate this, we fragmented genome assemblies of model nematodes to various extents and conducted synteny identification and downstream analysis. We first show that synteny between species can be underestimated up to 40% and find disagreements between popular tools that infer synteny blocks. This inconsistency and further demonstration of erroneous gene ontology enrichment tests throws into question the robustness of previous synteny analysis when gold standard genome sequences remain limited. In addition, determining the true evolutionary relationship is compromised by assembly improvement using a reference guided approach with a closely related species. Annotation quality, however, has minimal effect on synteny if the assembled genome is highly contiguous. Our results highlight the need for gold standard genome assemblies for synteny identification and accurate downstream analysis.\n\nAuthor summaryGenome assemblies across all domains of life are currently produced routinely. Initial analysis of any new genome usually includes annotation and comparative genomics. Synteny provides a framework in which conservation of homologous genes and gene order is identified between genomes of different species. The availability of human and mouse genomes paved the way for algorithm development in large-scale synteny mapping, which eventually became an integral part of comparative genomics. Synteny analysis is regularly performed on assembled sequences that are fragmented, neglecting the fact that most methods were developed using complete genomes. Here, we systematically evaluate this interplay by inferring synteny in genome assemblies with different degrees of contiguation. As expected, our investigation reveals that assembly quality can drastically affect synteny analysis, from the initial synteny identification to downstream analysis. Importantly, we found that improving a fragmented assembly using synteny with the genome of a related species can be dangerous, as this a priori assumes a potentially false evolutionary relationship between the species. The results presented here re-emphasize the importance of gold standard genomes to the science community, and should be achieved given the current progress in sequencing technology.

bioinformatics↗

Ancient genomic variation underlies recent and repeated ecological adaptation

Adaptation in the wild often involves standing genetic variation (SGV), which allows rapid responses to selection on ecological timescales. However, we still know little about how the evolutionary histories and genomic distributions of SGV influence local adaptation in natural populations. Here, we address this knowledge gap using the threespine stickleback fish (Gasterosteus aculeatus) as a model. We extend the popular restriction site-associated DNA sequencing (RAD-seq) method to produce phased haplotypes approaching 700 base pairs (bp) in length at each of over 50,000 loci across the stickleback genome. Parallel adaptation in two geographically isolated freshwater pond populations consistently involved fixation of haplotypes that are identical-by-descent. In these same genomic regions, sequence divergence between marine and freshwater stickleback, as measured by dXY, reaches ten-fold higher than background levels and structures genomic variation into distinct marine and freshwater haplogroups. By combining this dataset with a de novo genome assembly of a related species, the ninespine stickleback (Pungitius pungitius), we find that this habitat-associated divergent variation averages six million years old, nearly twice the genome-wide average. The genomic variation that is involved in recent and rapid local adaptation in stickleback has actually been evolving throughout the 15-million-year history since the two species lineages split. This long history of genomic divergence has maintained large genomic regions of ancient ancestry that include multiple chromosomal inversions and extensive linked variation. These discoveries of ancient genetic variation spread broadly across the genome in stickleback demonstrate how selection on ecological timescales is a result of genome evolution over geological timescales, and vice versa.\n\nIMPACT STATEMENTAdaptation to changing environments requires a source of genetic variation. When environments change quickly, species often rely on variation that is already present - so-called standing genetic variation - because new adaptive mutations are just too rare. The threespine stickleback, a small fish species living throughout the Northern Hemisphere, is well-known for its ability to rapidly adapt to new environments. Populations living in coastal oceans are heavily armored with bony plates and spines that protect them from predators. These marine populations have repeatedly invaded and adapted to freshwater environments, losing much of their armor and changing in shape, size, color, and behavior.\n\nAdaptation to freshwater environments can occur in mere decades and probably involves lots of standing genetic variation. Indeed, one of the clearest examples we have of adaptation from standing genetic variation comes from a gene, eda, that controls the shifts in armor plating. This discovery involved two surprises that continue to shape our understanding of the genetics of adaptation. First, freshwater stickleback from across the Northern Hemisphere share the same version, or allele, of this gene. Second, the marine and freshwater alleles arose millions of years ago, even though the freshwater populations studied arose much more recently. While it has been hypothesized that other genes in the stickleback genome may share these patterns, large-scale surveys of genomic variation have been unable to test this prediction directly.\n\nHere, we use new sequencing technologies to survey DNA sequence variation across the stickleback genome for patterns like those at the eda gene. We find that every region of the genome associated with marine-freshwater genetic differences shares this pattern to some degree. Moreover, many of these regions are as old or older than eda, stretching back over 10 million years in the past and perhaps even predating the species we now call the threespine stickleback. We conclude that natural selection has maintained this variation over geological timescales and that the same alleles we observe in freshwater stickleback today are the same as those under selection in ancient, now-extinct freshwater habitats. Our findings highlight the need to understand evolution on macroevolutionary timescales to understand and predict adaptation happening in the present day.

evolutionary biology↗

Transposable elements are constantly exchanged by horizontal transferreshaping mosquito genomes

Transposable elements (TEs) are a set of mobile elements within a genome. Due to their complexity, an in-depth TE characterization is only available for a handful of model organisms. In the present study, we performed a de novo and homology-based characterization of TEs in the genomes of 24 mosquito species and investigated their mode of inheritance. More than 40% of the genome of Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus is composed of TEs, varying substantially among Anopheles species (0.13%-19.55%). Class I TEs are the most abundant among mosquitoes and at least 24 TE superfamilies were found. Interestingly, TEs have been continuously exchanged by horizontal transfer (212 TE families of 18 different superfamilies) among mosquitoes since 30 million years ago, representing around 6% of the genome in Aedes genomes and a small fraction in Anopheles genomes. Most of these horizontally transferred TEs are from the three ubiquitous LTR superfamilies: Gypsy, Bel-Pao and Copia. Searching more 32,000 genomes, we also uncover transfers between mosquitoes and two different Phyla--Cnidaria and Nematoda--and two subphyla--Chelicerata and Crustacea, identifying a vector, the worm Wuchereria bancrofti, that enabled the horizontal spread of a Tc1-mariner element of irritans subfamily among various Anopheles species. These data also allowed us to reconstruct the horizontal transfer network of this TE involving more than 40 species. In summary, our results suggest that TEs are constantly exchanged by common phenomena of horizontal transfers among mosquitoes, influencing genome variation and contributing to genome size expansion. Author SummaryMost eukaryotes have DNA fragments inside their genome that can multiply by inserting themselves in other regions of the genome, generating variability. These fragments are called Transposable Elements (TEs). Since they are a constituent part of the eukaryote genomes, these pieces of DNA are usually inherited vertically by the offspring. To avoid damage to the genome caused by the replication and insertion of TEs, organisms usually control them, leading to their inactivation. However, TEs sometimes get out of control and invade other species through a horizontal transfer mechanism. This dynamic is not known in mosquitoes, a group of organisms that acts as vectors of many human diseases. We collected mosquito genomes available in public databases and characterized the whole content of TEs. Using a statistic supported method, we investigate TE relations among mosquitoes and discover that horizontal transfers of transposons are common and occurred in the last 30 million years among these species. Although not as common as transfers among closely related species, transposon transfer to distant species also occur. We also identify a parasite, a filarial worm, that may have facilitated the transfer of TE to many mosquitoes. Together, horizontally transferred TEs contribute to increasing mosquito genome size and variation.

evolutionary biology↗

Independent Genomic Sources of Brain Structure and Function

IntroductionThe last decade has seen a surge in well powered genome-wide association studies (GWASs) of complex behavioural traits, disorders, and more recently, of brain structural and functional neuroimaging features. However, the extreme polygenicity of these complex traits makes it difficult to translate the GWAS signal into mechanistic biological insights. We postulate that the covariance of SNP-effects across many brain features, as be captured by latent genomic components of SNP effect sizes. These may partly reflect the concerted multi-locus genomic effects through known molecular pathways and protein-protein interactions. Here, we test the feasibility of a new data-driven method to derive such latent components of genome-wide effects on more than thousand neuroimaging derived traits, and investigate their utility in interpreting the complex biological processes that shape the GWAS signal. MethodsWe downloaded the GWAS summary statistics of 3,143 brain imaging-derived phenotypes (IDPs) from the UK Biobank, provided by the Oxford Brain Imaging Genetics (BIG) Server (Elliott et al. 2018). Probabilistic independent component analysis (ICA) was used to extract two hundred independent genomic components from the matrix of SNP-effect sizes. We qualitatively describe the distribution of the latent components loadings in the neuroimaging and the genomic dimensions. Gene-wide statistics were calculated for each genomic component. We tested the genomic components enrichment for molecular pathways using MSigDB, and for single-cell RNA-sequencing of adult and foetal brain cells. Results200 components explained 80% of the variance in SNP-effects sizes. Each MRI modality and data processing method projected the imaging data into a clearly distinct cluster in the genomic component embedded space. Among the 200 genomic components, 157 were clearly driven by a single locus, while 39 were highly polygenic. Together, these 39 components were significantly enriched for 2,274 MSigDB gene sets (fully corrected for multiple testing across gene-sets and components). Several components were sensitive to molecular pathways, single cell expression profiles, and brain traits in patterns consistent with knowledge across these biological levels. To illustrate this, we highlight a component that implicated axonal regeneration pathways, which was specifically enriched for gene expression in oligodendrocyte precursors, microglia and astrocytes, and loaded highly on white matter neuroimaging traits. We highlight a second component that implicated synaptic function and neuron projection organization pathways that was specifically enriched for neuronal cell transcriptomes. ConclusionWe propose genomic ICA as a new method to identify latent genetic factors influencing brain structure and function by multimodal MRI. The derived latent genomic dimensions are highly sensitive to known molecular pathways and cell-specific gene expression profiles. Genomic ICA may help to disentangle the many different biological routes by which the genome defines the inter-individual variation of the brain. Future research is aimed at using this method to profile individual subjects genomic data along the new latent dimensions and evaluating the utility of these dimensions in stratifying heterogeneous patient populations.

neuroscience↗

Population-level genome-wide STR typing in Plasmodium species reveals higher resolution population structure and genetic diversity relative to SNP typing

Short tandem repeats (STRs) are highly informative genetic markers that have been used extensively in population genetics analysis. They are an important source of genetic diversity and can also have functional impact. Despite the availability of bioinformatic methods that permit large-scale genome-wide genotyping of STRs from whole genome sequencing data, they have not previously been applied to sequencing data from large collections of malaria parasite field samples. Here, we have genotyped STRs using HipSTR in more than 3,000 Plasmodium falciparum and 174 Plasmodium vivax published whole-genome sequence data from samples collected across the globe. High levels of noise and variability in the resultant callset necessitated the development of a novel method for quality control of STR genotype calls. A set of high-quality STR loci (6,768 from P. falciparum and 3,496 from P. vivax) were used to study Plasmodium genetic diversity, population structures and genomic signatures of selection and these were compared to genome-wide single nucleotide polymorphism (SNP) genotyping data. In addition, the genome-wide information about genetic variation and other characteristics of STRs in P. falciparum and P. vivax have been made available in an interactive web-based R Shiny application PlasmoSTR (https://github.com/bahlolab/PlasmoSTR). Author summaryMalaria is a severe disease caused by a genus of parasites called Plasmodium and is transmitted to humans through infected Anopheles mosquitoes. P. falciparum and P. vivax are the predominant species responsible for more than 95% of all human malaria infections which continue to pose a significant challenge to human health. Antimalarial drug resistance is a serious threat hindering the elimination of malaria. As such, it is important to understand the role of genomic variation in the development of antimalarial drug resistance. STRs are an important source of genomic variation that, from a population genetics perspective, have several advantages over SNPs, including being highly polymorphic, having a higher mutation rate, and having been widely used to study the population structure and genetic diversity. However, STRs are not routinely genotyped with bioinformatic tools across the whole genome with short read sequencing data because they are difficult to identify and genotype accurately, as they vary in size and may align poorly to the reference genome, therefore requiring rigorous quality control (QC). In this study, we genotype STRs using HipSTR[1] in more than 3,000 P. falciparum and 174 P. vivax whole-genome sequence samples collected world-wide. We develop a multivariable logistic regression model for the measurement and prediction of the quality of STRs. In addition, we use a set of genome-wide high-quality STRs to study parasite population genetics and compare them to genome-wide SNP genotyping data, revealing both high consistency with SNP based signals, as well as identifying some signals unique to the STR marker data. These results demonstrate that the identification of highly informative STR markers from large numbers of population samples is a powerful approach to study the genetic diversity, population structures and genomic signatures of selection in P. falciparum and P. vivax. Furthermore, we built an interactive web-based R Shiny application PlasmoSTR (https://github.com/bahlolab/PlasmoSTR) that includes genome-wide information about genetic variation and other characteristics of the high quality STRs identified in P. falciparum and P. vivax, allowing researchers to explore and visualize the specific STRs.

genetics↗

DNA transposon expansion is associated with genome size increase in mudminnows

Genome sizes of eukaryotic organisms vary substantially, with whole genome duplications (WGD) and transposable element expansion acting as main drivers for rapid genome size increase. The two North American mudminnows, Umbra limi and U. pygmaea, feature genomes about twice the size of their sister lineage Esocidae (e.g., pikes and pickerels). However, it is unknown whether all Umbra species share this genome expansion and which causal mechanisms drive this expansion. Using flow cytometry, we find that the genome of the European mudminnow is expanded similarly to both North American species, ranging between 4.5-5.4 pg per diploid nucleus. Observed blocks of interstitially located telomeric repeats in Umbra limi suggest frequent Robertsonian rearrangements in its history. Comparative analyses of transcriptome and genome assemblies show that the genome expansion in Umbra is driven by extensive DNA transposon expansion without WGD. Furthermore, we find a substantial ongoing expansion of repeat sequences in the Alaska blackfish Dallia pectoralis, the closest relative to the family Umbridae, which might mark the beginning of a similar genome expansion. Our study suggests that the genome expansion in mudminnows, driven mainly by transposon expansion, but not WGD, occurred before the separation into the American and European lineage. Significance StatementNorth American mudminnows feature genomes about twice the size of their sister lineage Esocidae (e.g., pikes and pickerels). However, neither the mechanism underlaying this genome expansion, nor whether this feature is shared amongst all mudminnows is currently known. Using cytogenetic analyses, we find that the genome of the European mudminnow also expanded and that extensive chromosome fusion events have occurred in some Umbra species. Furthermore, comparative genomics based on de-novo assembled transcriptomes and genome assemblies, which have recently become available, indicates that DNA transposon activity is responsible for this expansion.

evolutionary biology↗

Mixture Density Regression reveals frequent recent adaptation in the human genome

How much genome differences between species reflect neutral or adaptive evolution is a central question in evolutionary genomics. In humans and other mammals, the prevalence of adaptive versus neutral genomic evolution has proven particularly difficult to quantify. The difficulty notably stems from the highly heterogeneous organization of mammalian genomes at multiple levels (functional sequence density, recombination, etc.) that complicates the interpretation and distinction of adaptive vs. neutral evolution signals. Here, we introduce Mixture Density Regressions (MDRs) for the study of the determinants of recent adaptation in the human genome. MDRs provide a flexible regression model based on multiple Gaussian distributions. We use MDRs to model the association between recent selection signals and multiple genomic factors likely to affect positive selection, if the latter was common enough in the first place to generate these associations. We find that a MDR model with two Gaussian distributions provides an excellent fit to the genome-wide distribution of a common sweep summary statistic (iHS), with one of the two distributions likely enriched in positive selection. We further find several factors associated with recent adaptation, including the recombination rate, the density of regulatory elements in immune cells, GC-content, gene expression in immune cells, the density of mammal-wide conserved elements, and the distance to the nearest virus-interacting gene. These results support that strong positive selection was relatively common in recent human evolution and highlight MDRs as a powerful tool to make sense of signals of recent genomic adaptation. Author SummaryOver the last 50,000 years, human populations have been exposed to selective pressures that can trigger adaptation in the genome. The search for signals of these selective events is however obscured by the substantial variation of factors that are relevant for the prevalence and detection of adaptation across the genome. Here, we analyze the impact of multiple factors on positive selection using a biologically meaningful approach that considers the influence of adaptative and non-adaptive processes in the human genome. Our results show that this novel approach is better suited to find genomic factors associated with recent positive selection compared to the classic regression or correlation approaches. We find multiple genomic functional elements associated with selection across the genome, including novel associations that emerge only after controlling for multiple confounding factors. This strongly suggests that adaptation was common enough in recent evolutionary times to produce a widespread correlation between functional elements and positive selection in the human genome. Note on the language used in this manuscriptIn this manuscript we use discrete population groups, such as the Yoruba. We want to emphasize that these discrete groups are only used for convenience and clarity when presenting our results, but in fact represent arbitrary human constructions, the same way that the boundaries of countries are arbitrary. There is an unbroken continuum and mixing of geographical ancestries across groups often identified as distinct populations across the world. The discrete groups we use are, as such, by no mean discrete genetic entities. Once grouped together, the grouped individuals only happen to be genetically more similar, with their ancestries coming from specific geographic locations more predominantly than individuals from the other groups. How much more predominantly is completely arbitrary.

evolutionary biology↗