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Aguilera, L.

Publications and source records attributed to Aguilera, L..

15 recordsLinked to original sources

ERGA-BGE reference genomes of Hyalomma lusitanicum and its obligate Francisella endosymbiont as a genomic resource for One Health research

Hyalomma lusitanicum is a characteristic tick species of the western Mediterranean region, with a well-established distribution across the Iberian Peninsula. It is strongly associated with wild ungulates, particularly red deer, as well as livestock, to which it can transmit a wide range of pathogens, including viruses, bacteria, and protozoa. Here, we present three genomic resources for H. lusitanicum: a scaffold-scale nuclear genome, the complete mitochondrial genome, and the complete genome of its associated Francisella bacterial endosymbiont. The nuclear genome assembly spans 1.81 Gb and comprises 59 scaffolds, with a scaffold N50 of 153.6 Mb (L50 = 5) and no gaps, indicating high contiguity and completeness with a gene annotation completeness BUSCO score of 97.1 %. Genome annotation of the nuclear assembly identified 20,638 protein-coding genes, 1,422 non-coding genes, and 5,775 pseudogenes. A total of 18 scaffolds were assembled as putative chromosomes, exceeding the 11 chromosomes inferred as ancestral; however, synteny analyses suggest that several scaffolds likely represent fragmented portions of the same chromosome, probably due to incomplete Hi-C scaffolding. Despite this, the assembly represents one of the most complete tick nuclear genomes generated to date. In addition, we report the complete genome of a Francisella endosymbiont (1.51 Mb, 1,679 genes), characterized by a high proportion of pseudogenes and reduced genome size, consistent with patterns of genome reduction associated with obligate symbiosis. Together, these genomic resources provide a framework to investigate local adaptation and host-symbiont evolution, and to support improved surveillance, control, and management strategies for species of public health relevance.

genomics↗

ERGA-BGE genome of Coenonympha oedippus: an IUCN endangered European butterfly species occurring in two ecotypes

The reference genome of the False ringlet (Coenonympha oedippus) will serve as a valuable resource for uncovering the genetic mechanism underlying the species' adaptability to two ecologically distinct habitats. Through this genome we might be able to determine whether (i) each ecotype is monophyletic, indicating that the ecological divergence represents an early stage of speciation, (ii) the ecotypes have evolved through divergent evolution of habitat preference, or (iii) the differences between ecotypes are solely due to phenotypic plasticity or epigenetic variation. This reference genome is also a prerequisite for the planning, design, and implementation of conservation measures for this endangered species, taking into account its intraspecific diversity. Furthermore, it holds broader implications for population genomic studies of the species-rich genus Coenonympha, which includes some of the most endangered butterfly taxa in Europe. The complete genome sequence was assembled into 30 contiguous chromosomal pseudomolecules (sex chromosomes included). This chromosome-level assembly encompasses 0.39 Gb, composed of 385 contigs and 62 scaffolds, with contig and scaffold N50 values of 2.8 Mb and 14.2 Mb, respectively.

genomics↗

ERGA-BGE Reference Genome of Loboptera subterranea: a cave adapted cockroach endemic to the Canary Islands

Species of the genus Loboptera from the Canary Islands are adapted to life in subterranean environments, except Loboptera canariensis and Loboptera decipiens which inhabit epigean, often influenced by human activities. The genome of Loboptera subterranea provides a valuable resource for understanding the genetic basis of how the Canarian Loboptera species evolved and thrived in subterranean environments. A total of 14 contiguous chromosomal pseudomolecules were assembled from the genome sequence. This chromosome-level assembly encompasses 2.7 Gb, composed of 486 contigs and 90 scaffolds, with contig and scaffold N50 values of 13.1 Mb and 202.7 Mb, respectively.

genomics↗

ERGA-BGE genome of Stigmatoteuthis arcturi Robson, 1948: the jewelled squid

The Stigmatoteuthis arcturi reference genome offers a valuable resource for understanding the evolutionary patterns of oceanic squids, who perform important ecological roles as both predators and prey in mesopelagic and deep-sea environments, while their genomes remain understudied. The entirety of the genome sequence was assembled into 46 contiguous chromosomal pseudomolecules. This chromosome-level assembly encompasses 3.25 Gb, composed of 1,268 contigs and 497 scaffolds, with contig and scaffold N50 values of 11.0 Mb and 74.6 Mb, respectively.

genomics↗

ERGA-BGE Reference Genome of Phyllidia flava (Nudibranchia: Phyllidiidae), a Relict Species Endemic to the Mediterranean Sea

Phyllidia flava, the only Mediterranean representative of the otherwise Indo-Pacific family Phyllididae, is a radula-less dorid nudibranch that feeds exclusively on toxic sponges, from which it derives defensive and camouflage compounds. Although not currently listed as endangered, this relict species remains vulnerable due to its restricted distribution and the rising temperatures of the Mediterranean Sea. A total of 13 contiguous chromosomal pseudomolecules were assembled, resulting in a chromosome-level genome spanning 1.9 Gb. This assembly comprises 2,032 contigs and 62 scaffolds, with contig and scaffold N50 values of 2.4 Mb and 169.7 Mb, respectively. This reference genome will serve as a valuable resource for conservation efforts, provide a robust calibration point for studying nudibranch phylogenetics based on the Tethys Ocean closure, and lay the groundwork for research into toxic prey diet specialisation.

genomics↗

ERGA-BGE genome of Erebia palarica Chapman, 1905: a montane butterfly endemic to North-West Iberia

The reference genome of Erebia palarica will provide valuable insights into evolutionary and conservation genomics. On one hand, the reference genome paves the way to unravel the speciation process, reproductive barriers, and putative hybridisation of E. palarica with its closely related sister species: Erebica meolans. On the other hand, the reference genome will play an important role in the genetic monitoring of this endemic species, facilitating the use of genomics to estimate population genomics parameters. The genome was assembled into 14 contiguous chromosomal pseudomolecules (Z chromosome included). This chromosome-level assembly encompasses 0.49 Gb, composed of 38 contigs and 17 scaffolds, with contig and scaffold N50 values of 34.2 Mb and 38.4 Mb, respectively.

genomics↗

ERGA-BGE genome of the Spanish Moon Moth Graellsia isabellae Graells, 1849: a nocturnal lepidopteran protected by the Habitats Directive

The reference genome of the Spanish Moon Moth, Graellsia isabellae, will be of great importance for evolutionary and conservation genomics. Firstly, this reference genome, alongside phylogenomic analyses, may finally resolve the longstanding debate regarding the scientific name of this iconic species--whether it should be Graellsia isabellae (Graells, 1849) or Actias isabellae (Graells, 1849). Secondly, the reference genome will be instrumental in the genetic monitoring of this protected species, enabling advanced methods to calculate contemporary population genomics estimates. The genome was assembled into 31 contiguous chromosomal pseudomolecules (Z chromosome included). The mitochondrial genome has also been assembled and is 15,247 bp in length. This chromosome-level assembly encompasses 0.56 Gb, composed of 38 contigs and 32 scaffolds, with contig and scaffold N50 values of 18.9 Mb and 20.4 Mb, respectively.

genomics↗

ERGA-BGE Reference Genome of the Striped Field Mouse (Apodemus agrarius), a Widespread and Abundant Species in Central and Eastern Europe

The reference genome of Apodemus agrarius provides a valuable resource for phylogenetic studies of rodents, particularly mice, and for understanding factors that influence the geographical distribution of the species across East Asia and East Europe. A total of 25 contiguous chromosomal pseudomolecules were assembled from the genome sequence (23 autosomes and 2 sex chromosomes). This chromosome-level assembly encompasses 2.6 Gb, composed of 242 contigs and 60 scaffolds, with contig and scaffold N50 values of 35 Mb and 119 Mb, respectively.

genomics↗

ERGA-BGE Reference Genome of Gluvia dorsalis: An Endemic Sun Spider from Iberian Arid Regions

The reference genome of Gluvia dorsalis is the first of its order Solifugae (sun spiders), offering insights into adaptations to arid environments and the evolutionary history of arachnids. The entirety of the genome sequence was assembled into 5 contiguous chromosomal pseudomolecules. This chromosome-level assembly encompasses 787 Mb, composed of 51 contigs and 10 scaffolds (including the mitogenome), with contig and scaffold N50 values of 38 Mb and 199 Mb, respectively.

genomics↗

ERGA-BGE genome of Valencia hispanica (Valenciennes, 1826): a critically endangered Iberian toothcarp

The reference genome of Valencia hispanica, a critically endangered actinopterygian species endemic to the Iberian Peninsula, is key to unravelling its genetic architecture and adaptation to freshwater ecosystems. This genomic resource will enable targeted conservation efforts and shed light on the species essential role in ecological dynamics, including its contributions to algal biomass regulation and role in the aquatic food web while also highlighting the challenges it faces from habitat degradation and invasive species. Furthermore, it offers opportunities to gain valuable insights into the evolutionary paths within the Valenciidae family, significantly advancing our comprehension of genetic diversity and adaptability in aquatic ecosystems. The entirety of the genome sequence was assembled into 24 contiguous chromosomal pseudomolecules. This chromosome-level assembly encompasses 1.29Gb, composed of 99 contigs and 28 scaffolds, with contig and scaffold N50 values of 38.3Mb and 56.9Mb, respectively.

evolutionary biology↗

Chromosome-level genome assembly and annotation of Corallium rubrum: a Mediterranean coral threatened by overharvesting and climate change.

Reference genomes are key resources in biodiversity conservation. Yet, sequencing efforts are not evenly distributed in the tree of life questioning our true ability to enlighten conservation with genomic data. Good quality reference genomes remain scarce in octocorals while these species are highly relevant target for conservation. Here, we present the first annotated reference genome in the red coral, Corallium rubrum (Linnaeus, 1758), a habitat-forming octocoral from the Mediterranean and neighboring Atlantic, impacted by overharvesting and anthropogenic warming-induced mass mortality events. Combining long reads from Oxford Nanopore Technologies (ONT), Illumina paired-end reads for improving the base accuracy of the ONT-based genome assembly and Arima Hi-C contact data to place the sequences into chromosomes, we assembled a genome of 475 Mb (21 chromosomes, 326 scaffolds) with contig and scaffold N50 of 1.6 Mb and 16.2 Mb, respectively. Fifty percent of the sequence (L50) was contained in eight superscaffolds. The consensus quality (QV) of the final assembly was 42 and the gene completeness reported by BUSCO was 74% (metazoa_odb10 database). We annotated 39,114 protein-coding genes and 32,678 non-coding transcripts. This annotated chromosome-level genome assembly, one of the first in octocorals, is currently used in a project based on whole genome re-sequencing dedicated to the conservation and management of C. rubrum. Significance StatementThe Mediterranean red coral, Corallium rubrum, is critically impacted by overharvesting and by mass mortality events linked to marine heat waves. Accordingly, C. rubrum is increasingly receiving conservation efforts. Previous population genetics studies based on microsatellites contributed to improving our knowledge of the species ecology. Yet, crucial questions regarding, admixture among lineages, demographic history, effective population sizes and local adaptation, are still open owing to a lack of genomic resources. Here, we present the first chromosome-level genome assembly for the species with high contiguity, good completeness and protein-coding genes and repeat sequence annotations. This genome, one of the first in octocorals, will pave the way for the integration of population genomics data into ongoing interdisciplinary conservation efforts dedicated to C. rubrum.

genomics↗

Population-scale long-read sequencing uncovers transposable elements contributing to gene expression variation and associated with adaptive signatures in Drosophila melanogaster

High quality reference genomes are crucial to understanding genome function, structure and evolution. The availability of reference genomes has allowed us to start inferring the role of genetic variation in biology, disease, and biodiversity conservation. However, analyses across organisms demonstrate that a single reference genome is not enough to capture the global genetic diversity present in populations. In this work, we generated 32 high-quality reference genomes for the well-known model species D. melanogaster and focused on the identification and analysis of transposable element variation as they are the most common type of structural variant. We showed that integrating the genetic variation across natural populations from five climatic regions increases the number of detected insertions by 58%. Moreover, 26% to 57% of the insertions identified using long-reads were missed by short-reads methods. We also identified hundreds of transposable elements associated with gene expression variation and new TE variants likely to contribute to adaptive evolution in this species. Our results highlight the importance of incorporating the genetic variation present in natural populations to genomic studies, which is essential if we are to understand how genomes function and evolve.

evolutionary biology↗

Impact of transposable elements on the genome of the urban malaria vector Anopheles coluzzii

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBackgroundC_ST_ABSAnopheles coluzzii is one of the primary vectors of human malaria in sub-Saharan Africa. Recently, it has colonized the main cities of Central Africa threatening vector control programs. The adaptation of An. coluzzii to urban environments is partly due to an increased tolerance to organic pollution and insecticides. While some of the molecular mechanisms for ecological adaptation, including chromosome rearrangements and introgressions, are known, the role of transposable elements (TEs) in the adaptive processes of this species has not been studied yet. To assess the role of TEs in rapid urban adaptation, the first step is to accurately annotate TE insertions in the genomes of natural populations collected in urban settings. ResultsWe sequenced using long-reads six An. coluzzii genomes from natural breeding sites in two major Central Africa cities. We de novo annotated the complete set of TEs in these genomes and in an additional high-quality An. coluzzii genome available and identified 64 previously undescribed TE families. TEs were non-randomly distributed throughout the genome with significant differences in the number of insertions of several superfamilies across the studied genomes. We identified seven putatively active families with insertions near genes with functions related to vectorial capacity. Moreover, we identified several TE insertions providing promoter and transcription factor binding sites to insecticide resistance and immune-related genes. ConclusionsThe analysis of multiple genomes sequenced using long-read technologies allowed us to generate the most comprehensive TE annotations in this species to date. We identified several TE insertions that could potentially impact both genome architecture and the regulation of functionally relevant genes in An. coluzzii. These results provide a basis for future studies of the impact of TEs on the biology of An. coluzzii.

genomics↗

Quantifying the spatiotemporal dynamics of IRES versus Cap translation with single-molecule resolution in living cells

Viruses use IRES sequences within their RNA to hijack translation machinery and thereby rapidly replicate in host cells. While this process has been extensively studied in bulk assays, the dynamics of hijacking at the single-molecule level remain unexplored in living cells. To achieve this, we developed a bicistronic biosensor encoding complementary repeat epitopes in two ORFs, one translated in a Cap-dependent manner and the other translated in an IRES-mediated manner. Using a pair of complementary probes that bind the epitopes co-translationally, our biosensor lights up in different colors depending on which ORF is being translated. In combination with single-molecule tracking and computational modeling, we measured the relative kinetics of Cap versus IRES translation and show: (1) Two non-overlapping ORFs can be simultaneously translated within a single mRNA; (2) EMCV IRES-mediated translation sites recruit ribosomes less efficiently than Cap-dependent translation sites but are otherwise nearly indistinguishable, having similar mobilities, sizes, spatial distributions, and ribosomal initiation and elongation rates; (3) Both Cap-dependent and IRES-mediated ribosomes tend to stretch out translation sites; (4) Although the IRES recruits two to three times fewer ribosomes than the Cap in normal conditions, the balance shifts dramatically in favor of the IRES during oxidative and ER stresses that mimic viral infection; and (5) Translation of the IRES is enhanced by translation of the Cap, demonstrating upstream translation can positively impact the downstream translation of a non-overlapping ORF. With the ability to simultaneously quantify two distinct translation mechanisms in physiologically relevant live-cell environments, we anticipate bicistronic biosensors like the one we developed here will become powerful new tools to dissect both canonical and non-canonical translation dynamics with single-molecule precision. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=177 HEIGHT=200 SRC="FIGDIR/small/900829v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@a44259org.highwire.dtl.DTLVardef@651org.highwire.dtl.DTLVardef@19ebc26org.highwire.dtl.DTLVardef@527822_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Computational design and interpretation of live-cell, single-RNA translation experiments

Advances in fluorescence microscopy have introduced new assays to quantify live-cell translation dynamics at single-RNA resolution. We introduce a detailed, yet efficient sequence-based stochastic model that generates realistic synthetic data for several such assays, including Fluorescence Correlation Spectroscopy (FCS), ribosome Run-Off Assays (ROA) after Harringtonine application, and Fluorescence Recovery After Photobleaching (FRAP). We simulate these experiments under multiple imaging conditions and for thousands of human genes, and we evaluate through simulations which experiments are most likely to provide accurate estimates of elongation kinetics. Finding that FCS analyses are optimal for both short and long length genes, we integrate our model with experimental FCS data to capture the nascent protein statistics and temporal dynamics for three human genes: KDM5B, {beta}-actin, and H2B. Finally, we introduce a new open-source software package, RNA Sequence to NAscent Protein Simulator (O_SCPCAPRC_SCPCAPSNAPO_SCPCAPSIMC_SCPCAP), to easily simulate the single-molecule translation dynamics of any gene sequence for any of these assays and for different assumptions regarding synonymous codon usage, tRNA level modifications, or ribosome pauses. O_SCPCAPRC_SCPCAPSNAPO_SCPCAPSIMC_SCPCAP is implemented in Python and is available at: https://github.com/MunskyGroup/rSNAPsim.git.\n\nAuthor summaryTranslation is an essential step in which ribosomes decipher mRNA sequences to manufacture proteins. Recent advances in time-lapse fluorescence microscopy allow live-cell quantification of translation dynamics at the resolution of single mRNA molecules. Here, we develop a flexible computational framework to reproduce and interpret such experiments. We use this framework to explore how well different single-mRNA translation experiment designs would perform to estimate key translation parameters. We then integrate experimental data from the most flexible design with our stochastic model framework to reproduce the statistics and temporal dynamics of nascent protein elongation for three different human genes. Our validated computational method is packaged with a simple graphical user interface that (1) starts with mRNA sequences, (2) generates discrete, codon-dependent translation models, (3) provides visualization of ribosome movement as trajectories or kymographs, and (4) allows the user to estimate how optical single-mRNA translation experiments would be affected by different genetic alterations (e.g., codon substitutions) or environmental perturbations (e.g., tRNA titrations or drug treatments).

systems biology↗