Biology subjects

Da Silva, C.

Publications and source records attributed to Da Silva, C..

At least 19 recordsLinked to original sources

bioRxiv2026

The post-transcriptional RNA splicing landscape driving oocyte division

During growth in ovaries, mammalian oocytes accumulate maternal transcripts, proteins, and metabolites that support meiotic divisions and embryogenesis. As oocytes become fully grown, RNA Polymerase II is degraded and transcription is effectively silenced. However, RNA splicing appears to be required for oocyte division, a requirement which remains poorly characterized. Here, we define this post-transcriptional RNA splicing landscape of fully grown mouse oocytes and develop a computational resource that identifies post-transcriptional splicing events, signatures, sequence features, and protein binding motifs responsive to splicing perturbation. We show that, unlike transcription, RNA splicing in fully grown oocytes is essential for meiotic progression. Applying our resource across perturbations, we identify hundreds of genes whose proper splicing is required for oocyte division and reveal that distinct perturbations converge on overlapping regulatory programs controlling cytoskeletal organization and cell cycle progression that drive oocyte division. We experimentally validate selected resource-derived predictions using chemical and protein-based splicing perturbations. These findings demonstrate that extensive RNA processing persists after transcription has ceased and position post-transcriptional splicing as a fundamental regulator of mammalian oocyte development.

developmental biology↗

bioRxiv2026

Distinct Proteasomal Pathways Drive Oncogenic PPM1D Activation

PPM1D is a serine/threonine phosphatase and DNA damage response (DDR) regulator recurrently activated in cancer through amplification or C-terminal truncating mutations that increase its abundance. Here we show that truncating mutations fundamentally rewire PPM1D proteostasis, unmasking an oncogenic function of an alternative protein degradation pathway. While full-length PPM1D undergoes rapid ubiquitin-independent proteasomal degradation via a C-terminal degron, truncating mutations redirect degradation to a slower UBR5-mediated ubiquitin-dependent pathway. The resulting accumulation of PPM1D suppresses DDR signaling and enhances cellular fitness under genotoxic stress, which is further amplified by UBR5 loss. Consistent with selective pressure on this axis, cancers harboring PPM1D truncating mutations are enriched for UBR5 loss-of-function mutations. Together, these findings identify escape from ubiquitin-independent proteasomal degradation as a mechanism of oncogenic adaptation and establish proteostatic routing as a regulatory layer linking protein degradation, DDR signaling, and cancer evolution.

cell biology↗

bioRxiv2025

The JEDI marker as a universal measure of planetary biodiversity

Despite its critical importance in the formation and maintenance of ecosystems and homeostasis on Earth, biodiversity remains a complex and non-unified concept. Consequently, standards for measuring global biodiversity are lacking, hindering our capacity to document Earths biota and track its change. Here, we propose the Joint, cellular life-Encompassing DIversity (JEDI) marker as a simple, effective and quantitative measure to assess and monitor biodiversity. The JEDI marker is a ribosomal RNA gene fragment that can be amplified from all domains of life using a single pair of PCR primers. We demonstrate the applicability and effectiveness of this approach for assessing biodiversity across ecological and biological scales, from holobionts to diverse ecosystems. In addition, we provide an automated bioinformatic workflow to support the standardised and reproducible analysis of the JEDI marker in future studies. While this approach is not free from trade-offs, we argue that its advantages outweigh its limitations by providing a unique, operational and scalable solution that builds on established infrastructure to integrate the microbial majority into biodiversity assessments and provide fundamental insights into organismal dynamics and associations across domains of life. Thus, the JEDI marker approach addresses the urgent need for a universal and standardised framework to effectively measure and monitor biodiversity at planetary scales in an era of profound global change.

ecology↗

bioRxiv2025

A novel RNP compartment boosts translation in growing mouse oocytes to avoid cytoplasm dilution

Mammalian oocytes undergo a long growth phase in the ovary, during which transcriptional levels gradually decrease. Growing oocytes must therefore accumulate maternal stores and regulate their translation to achieve successful divisions and early embryo development. Using immunofluorescence, mass spectrometry and electron microscopy, we identified a novel and transient compartment, the Zollo Body, in late growing mouse oocytes, constituted of RNPs and organelles. Morphologically, this structure resembles the Balbiani body found in most vertebrate species but it stains positively for nascent translation and active phospho-mTOR. RNAseq analysis and dry mass measurements of growing oocytes with or without this compartment further support its key role in boosting translation, allowing growing oocytes to avoid cytoplasmic dilution despite their rapid size increase, ultimately ensuring their developmental potential.

cell biology↗

bioRxiv2024

Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health

BackgroundTargeted amplicon sequencing is a powerful and efficient tool for interrogating the Plasmodium falciparum genome, generating actionable data from infections to complement traditional malaria epidemiology. For maximum impact, genomic tools should be multi-purpose, robust, sensitive, and reproducible. MethodsWe developed, characterized, and implemented MAD4HatTeR, an amplicon sequencing panel based on Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing, along with a bioinformatic pipeline for data analysis. Additionally, we introduce an analytical approach to detect gene duplications and deletions from amplicon sequencing data. Laboratory control and field samples were used to demonstrate the panels high sensitivity and robustness. ResultsMAD4HatTeR targets 165 highly diverse loci, focusing on multiallelic microhaplotypes, key markers for drug and diagnostic resistance (including duplications and deletions), and csp and potential vaccine targets. The panel can also detect non-falciparum Plasmodium species. MAD4HatTeR successfully generated data from low-parasite-density dried blood spot and mosquito midgut samples, and detected minor alleles at within-sample allele frequencies as low as 1% with high specificity in high-parasite-density dried blood spot samples. Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. ConclusionsThe successful implementation of MAD4HatTeR in five laboratories, including three in malaria-endemic African countries, showcases its feasibility and reproducibility in diverse settings. MAD4HatTeR is thus a powerful tool for research and a robust resource for malaria public health surveillance and control.

genomics↗

bioRxiv2022

Single-step genome-wide association study for susceptibility to Teratosphaeria nubilosa and precocity of vegetative phase change in Eucalyptus globulus

Mycosphaerella leaf disease (MLD) is one of the most prevalent foliar diseases of E. globulus plantations around the world. Since resistance management strategies have not been effective in commercial plantations, breeding to develop more resistant genotypes is the most promising strategy. Available genomic information can be used to detect genomic regions associated with resistance to MLD, which could significantly speed up the process of genetic improvement. In this study, we investigated the genetic basis of MLD resistance in a breeding population of E. globulus which was genotyped with the EUChip60K SNP array. Resistance to MLD was evaluated for resistance of the juvenile foliage, as defoliation and leaf spot severity, and for precocity of change to resistant adult foliage. Genome-wide association studies (GWAS) were carried out applying four Single-SNP models, a Genomic Best Linear Unbiased Prediction (GBLUP-GWAS) approach, and a Single-step genome-wide association study (ssGWAS). The Single-SNP and GBLUP-GWAS models detected 13 and 16 SNP-trait associations in chromosomes 2, 3 y 11; whereas the ssGWAS detected 66 SNP-trait associations in the same chromosomes, and additional significant SNP-trait associations in chromosomes 5 to 9 for the precocity of phase change (proportion of adult foliage). For this trait, the two main regions in chromosomes 3 and 11 were identified for the three approaches. The SNPs identified in these regions were positioned near the key miRNA genes, miR156.5 and miR157.4, which have a main role in the regulation of the timing of vegetative change, and also in the response to environmental stresses in plants. Our results outlined that ssG-WAS was more powerful in detecting regions that affect resistance than conventional GWAS approaches. Additionally, suggest a polygenic genetic architecture for the heteroblastic transition in E. globulus and identified useful SNP markers for the development of marker-assisted selection strategies for resistance.

plant biology↗

bioRxiv2022

Changes in functional composition and gene expression in eukaryotic plankton at the Atlantic-Arctic Polar front

In the Arctic Ocean, phytoplankton communities, dominated by eukaryotes, sustain the marine food web and influence biogeochemical cycles. While many are endemic, some are transported by currents from the Atlantic Ocean along an environmental gradient that steepens at the polar front. Despite these distinct biogeographies, the functional characteristics of these communities remain poorly characterized. Here, we analyzed twenty metatranscriptomes from a North Atlantic-Arctic environmental gradient considering ocean currents transport times. Functions related to the regulation of gene expression and cold acclimation were more abundant in Arctic metatranscriptomes. Using the PHATE dimensionality reduction algorithm, reconstructed transcriptomes of Bacillariophyta, Mamiellales, Pelagophyceae, and Phaeocystales revealed different gene expression patterns, including photosynthesis regulation. All groups showed upregulation of numerous key temperature-associated functions and a subset of shared functions, supporting a convergence in transcriptomic changes under polar conditions. This study, based on a new resource of reconstructed transcriptomes, addressed the functional differentiation of eukaryotic phytoplankton across the North Atlantic and Arctic Ocean. It evidenced both differential and convergent changes in gene expression across the polar front in widespread phytoplankton types. These results advance our understanding of the functional dynamics of phytoplankton along environmental gradients.

genomics↗

bioRxiv2022

The filipodia-like protrusions of adjacent somatic cells shape the developmental potential of mouse oocytes

The oocyte must grow and mature before fertilization, thanks to a close dialogue with the somatic cells which surround it. Part of this communication is through filopodialike protrusions, called transzonal projections (TZPs), sent by the somatic cells to the oocyte membrane. To investigate the contribution of TZPs to oocyte quality, we impaired their structure by generating a full knockout mouse of the TZP structural component Myosin-X (MYO10). Using spinning disk and super-resolution microscopy combined with a machine learning approach to phenotype oocyte morphology, we show that the lack of Myo10 decreases TZP density during oocyte growth. Reduction in TZPs does not prevent oocyte growth but impairs oocyte-matrix integrity. Importantly, we reveal by transcriptomic analysis that gene expression is altered in TZP-deprived oocytes, and that oocyte maturation and subsequent early embryonic development are partially affected, effectively reducing mouse fertility. We propose that TZPs play a role in the structural integrity of the germline-somatic complex, which is essential for regulating gene expression in the oocyte and thus its developmental potential.

cell biology↗

bioRxiv2022

Pervasive gene duplications as a major evolutionary driver of coral biology

Over the last decade, several coral genomes have been sequenced allowing a better understanding of these symbiotic organisms threatened by climate change. Scleractinian corals are reef builders and are central to these ecosystems, providing habitat and food to a great diversity of species. In the frame of the Tara Pacific expedition, we generated two coral genomes, Porites lobata and Pocillopora meandrina with vastly improved contiguity that allowed us to study the functional organisation of these genomes. We annotated their gene catalog and report a relatively higher gene number (43,000 and 32,000 genes respectively) than that found in other public coral genome sequences. This finding is explained by a high number of tandemly duplicated genes (almost a third of the predicted genes). We show that these duplicated genes originate from multiple and distinct duplication events throughout the coral lineage. They contribute to the amplification of gene families, mostly related to immune system and disease-resistance, which we suggest to be functionally linked to coral host resilience. At large, we show the importance of duplicated genes to inform the biology of reef-building corals and provide novel avenues to understand and screen for differences in stress resilience.

genomics↗

bioRxiv2022

An interpretable and versatile machine learning approach for oocyte phenotyping

Meiotic maturation is a crucial step of oocyte development allowing its potential fertilization and embryo development. Elucidating this process is important both for fundamental research and assisted reproductive technology. However, only few computational tools, based on non-invasive measurements, are currently available to characterize oocyte meiotic maturation. Here, we develop a computational framework to phenotype oocytes based on images or movies acquired exclusively in transmitted light. We first trained neural networks to segment the contours of oocytes and their zona pellucida using a diverse cohort of both mouse and human oocytes. We then defined a comprehensive set of morphological features to describe a single oocyte. We have implemented these steps in a versatile and user-friendly open source Fiji plugin available to the mouse and human oocyte community. Then, we present a machine learning pipeline based on selected features to automatically recognize oocyte populations and determine their morphological differences. Its first application is a novel approach to screen oocyte strains and automatically identify their morphological characteristics. We demonstrate its potential by phenotyping a well characterized genetically modified mouse oocyte strain. Its second application is to predict and characterize the maturation potential of oocytes. Importantly, we identify two new features to assess mouse oocyte maturation potential, consisting in the texture of the zona pellucida and the cytoplasmic particles size. Eventually, we tested whether these mouse oocyte quality features were applicable to human oocytes developmental potential.

bioinformatics↗

bioRxiv2022

Intra-granuloma accumulation and inflammatory differentiation of neutrophils underlie mycobacterial ESX-1-mediated immunopathology

The conserved ESX-1 type VII secretion system is a major virulence determinant of pathogenic mycobacteria, including Mycobacterium tuberculosis and Mycobacterium marinum. ESX-1 is known to interact with infected macrophages, but its potential roles in regulating other host cells and immunopathology have remained largely unexplored. Using a murine M. marinum infection model we identify neutrophils and Ly6C+MHCII+ monocytes as the main cellular reservoirs for the bacteria. We show that ESX-1 promotes intra-granuloma accumulation of neutrophils and that neutrophils have a previously unrecognized required role in executing ESX-1-mediated pathology. To explore if ESX-1 also regulates the function of recruited neutrophils we performed single cell RNA-seq analysis indicating that ESX-1 drives newly recruited uninfected neutrophils into an inflammatory phenotype via an extrinsic mechanism. In contrast, monocytes restricted the accumulation of neutrophils and immunopathology, demonstrating a major host-protective function for monocytes specifically by suppressing ESX-1-mediated neutrophilic inflammation. iNOS activity was required for the suppressive mechanism and we identified Ly6C+MHCII+ monocytes as the main iNOS-expressing cell type in the infected tissue. These results suggest that ESX-1 mediates immunopathology by driving neutrophil accumulation and phenotypic differentiation in the infected tissue, and they demonstrate an antagonistic interplay between monocytes and neutrophils by which monocytes suppress host-detrimental neutrophilic inflammation. Author SummaryThe ESX-1 type VII secretion system is required for virulence of pathogenic mycobacteria, including Mycobacterium tuberculosis. ESX-1 interacts with infected macrophages, but its potential roles in regulating other host cells and immunopathology have remained largely unexplored. We demonstrate that ESX-1 promotes immunopathology by driving intra-granuloma accumulation of neutrophils, which upon arrival adopt an inflammatory phenotype in an ESX-1-dependent manner. In contrast, monocytes limited the accumulation of neutrophils and neutrophil-mediated pathology via an iNOS-dependent mechanism, suggesting a major host-protective function for monocytes specifically by restricting ESX-1-mediated neutrophilic inflammation. These findings provide insight into how ESX-1 promotes disease, and they reveal an antagonistic functional relationship between monocytes and neutrophils that may regulate immunopathology not only in mycobacterial infection, but also in other infections as well as in inflammatory conditions and cancer.

microbiology↗

bioRxiv2021

Transcriptomic plasticity and symbiont shuffling underpin Pocillopora acclimatization across heat-stress regimes in the Pacific Ocean

The characterization of adaptation and acclimation capacities of coral holobionts is crucial for anticipating the impact of global climate change on coral reefs. Understanding the extent to which the coral host and its photosymbionts contribute to adaptive and/or plastic responses in the coral metaorganism is important. In this study, we highlight new and complex links between coral genomes, transcriptomes, and environmental features in Pocilloporid corals at basin-wide scale. We analyzed metagenomic and metatranscriptomic sequence data from Pocillopora colonies sampled from 11 islands across the Pacific Ocean in order to investigate patterns of gene expression in both the host and photosymbiont across an environmental gradient. Single nucleotide polymorphisms (SNPs) analysis partitioned coral hosts and algal photosymbionts into five genetic lineages each. We observed strong host-symbiont fidelity across environments except at islands where recent and/or historical heat stress may have induced a symbiont shift towards more heat-tolerant lineages in some colonies. Host gene expression profiles were strongly segregated by genetic lineage and environment, and were significantly correlated with several historical sea surface temperature (SST) traits. Symbiont expression profiles were less dependent on environmental context than the host and were primarily driven by algal genotype. Overall, our results suggest a three-tiered strategy underpinning thermal acclimatization in Pocillopora holobionts with 1) host-photosymbiont fidelity, 2) host transcriptomic plasticity, and 3) photosymbiont shuffling playing progressive roles in response to elevated SSTs. Our data provide a reference for the biological state of coral holobionts across the Indo-Pacific and demonstrate the power of disentangling environmental and genetic effects to provide new insights into corals capacities for acclimatization and adaptation under environmental change.

physiology↗

bioRxiv2021

Locally adapted oak populations along an elevation gradient display different molecular strategies to regulate bud phenology.

Research conductedWith the ongoing global warming, there are serious concerns about the persistence of locally adapted populations. Indeed, with the raising of temperature, the phenological cycle of tree species may be strongly affected since higher winter temperatures may have a negative impact on endodormancy release if chilling requirements are not fulfilled during winter and late frost in spring may expose trees if buds flush too early. Thus, Environmental gradients (showing continuous variations of environmental conditions) constitute a design of choice to analyze the effect of winter dormancy in locally adapted population. MethodsIn the present study, we used an elevation gradient in the Pyrenees to explore the gene expression network involved in dormancy regulation in natural populations of sessile oak locally adapted to temperature. Terminal buds were harvested during dormancy induction and release at different elevations. Then, gene expression was quantified using RNAseq and we used a likelihood ratio test to identify genes displaying significant dormancy, elevation or dormancy-by-elevation interaction effects. Key resultsOur results highlight molecular processes in locally adapted populations along this elevation cline, and made it possible to identify key dormancy-by-elevation responsive genes revealing that locally adapted populations have evolved distinct molecular strategies to adapt their bud phenology in response to environmental variation (i.e. temperature).

plant biology↗

bioRxiv2021

Water stress-associated isolation barriers between two sympatric oak species

Drought and waterlogging impede tree growth and may even lead to tree death. With climate change, these environmental factors are a growing source of concern, particularly for temperate forests. Oaks, an emblematic group of tree species, have evolved a range of adaptations to cope with these constraints. The two most widely distributed European species -- pedunculate oak (PO) and sessile oaks (SO) -- have overlapping ranges, but are highly constrained locally by soil water content variation. These differences in local ecological requirements provide a powerful biological model for studying the role of ecological barriers in speciation. We used an experimental set-up mimicking the ecological preferences of these species, in which seedlings were subjected to waterlogging and drought. We studied gene expression in roots by RNA-seq and identified genes differentially expressed between treatments with different outcomes depending on species. These "species x environment"-responsive genes revealed adaptive molecular strategies involving adventitious and lateral root formation, aerenchyma formation in PO, and osmoregulation and ABA regulation in SO. With this experimental design, we also identified genes with expression profiles presenting a "species" effect regardless of imposed constraints with important roles in intrinsic reproductive barriers. Finally, we compared our findings with those for a genome scan of species divergence and found that the candidate genes were enriched in highly differentiated SNPs. This suggests that many of the genes involved in the contrasting transcriptomic responses are subject to natural selection and that gene regulation helps to maintain these two different oak species in sympatry.

plant biology↗

bioRxiv2020

Functional repertoire convergence of distantly related eukaryotic plankton lineages revealed by genome-resolved metagenomics

Marine planktonic eukaryotes play a critical role in global biogeochemical cycles and climate. However, their poor representation in culture collections limits our understanding of the evolutionary history and genomic underpinnings of planktonic ecosystems. Here, we used 280 billion Tara Oceans metagenomic reads from polar, temperate, and tropical sunlit oceans to reconstruct and manually curate more than 700 abundant and widespread eukaryotic environmental genomes ranging from 10 Mbp to 1.3 Gbp. This genomic resource covers a wide range of poorly characterized eukaryotic lineages that complement long-standing contributions from culture collections while better representing plankton in the upper layer of the oceans. We performed the first comprehensive genome-wide functional classification of abundant unicellular eukaryotic plankton, revealing four major groups connecting distantly related lineages. Neither trophic modes of plankton nor its vertical evolutionary history could explain the functional repertoire convergence of major eukaryotic lineages that coexisted within oceanic currents for millions of years. CoverNavigating on the map of plankton genomics with Tara Oceans and anvio: a comprehensive genome-resolved metagenomic survey dedicated to eukaryotic plankton. O_FIG O_LINKSMALLFIG WIDTH=153 HEIGHT=200 SRC="FIGDIR/small/341214v2_ufig1.gif" ALT="Figure 1"> View larger version (82K): org.highwire.dtl.DTLVardef@536fe5org.highwire.dtl.DTLVardef@1d72cc9org.highwire.dtl.DTLVardef@1bd5281org.highwire.dtl.DTLVardef@739512_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2020

Large-scale transcriptomics to dissect two years of the life of a fungal phytopathogen interacting with its host plant

The fungus Leptosphaeria maculans has an exceptionally long and complex relationship with its host plant, Brassica napus, during which it switches between different lifestyles, including asymptomatic, biotrophic, necrotrophic, and saprotrophic stages. The fungus is also exemplary of "two-speed" genome organisms in which gene-rich and repeat-rich regions alternate. Except for a few stages of plant infection under controlled conditions, nothing is known about the genes mobilized by the fungus throughout its life cycle, which may last several years in the field. We show here that about 9% of the genes of this fungus are highly expressed during its interactions with its host plant. These genes are distributed into eight well-defined expression clusters, corresponding to specific infection lifestyles or to tissue-specific genes. All expression clusters are enriched in effector genes, and one cluster is specific to the saprophytic lifestyle on plant residues. One cluster, including genes known to be involved in the first phase of asymptomatic fungal growth in leaves, is re-used at each asymptomatic growth stage, regardless of the type of organ infected. The expression of the genes of this cluster is repeatedly turned on and off during infection. Whatever their expression profile, the genes of these clusters are located in regions enriched in heterochromatin, either constitutive or facultative. These findings provide support for the hypothesis that fungal genes involved in niche adaptation are located in heterochromatic regions of the genome, conferring an extreme plasticity of expression. This work opens up new avenues for plant disease control, by identifying stage-specific effectors that could be used as targets for the identification of novel durable disease resistance genes, or for the in-depth analysis of chromatin remodeling during plant infection, which could be manipulated to interfere with the global expression of effector genes at crucial stages of plant infection. Author SummaryFungi are extremely important organisms in the global ecosystem. Some are damaging plant pathogens that threaten global food security. A knowledge of their biology and pathogenic cycle is vital for the design of environmentally-friendly control strategies. Unfortunately, many parts of their life cycle remain unknown, due to the complexity of their life-cycles and technical limitations. Here, we use a rapeseed pathogen, Leptosphaeria maculans, which has a particularly complex life-cycle, to show that large-scale RNA-Seq analyses of fungal gene expression can decipher all stages of the fungal cycle over two years of interaction with living or dead hosts, in laboratory and agricultural conditions. We found that the fungus uses about 9% of the genes of its genome specifically during interactions with the plant, and observed waves of extremely tight, complex regulation during the colonization of specific tissues and specific parts of the life-cycle. Our findings highlight the importance of genes encoding effectors, small secreted proteins manipulating the host. This work opens up new avenues for plant disease control through the identification of stage-specific effectors leading to the discovery of novel durable disease resistance genes, or the analysis of epigenetic regulation, which could be manipulated to interfere with effector gene expression.

pathology↗

bioRxiv2020

Long-reads assembly of the Brassica napus reference genome, Darmor-bzh

BackgroundThe combination of long-reads and long-range information to produce genome assemblies is now accepted as a common standard. This strategy not only allow to access the gene catalogue of a given species but also reveals the architecture and organisation of chromosomes, including complex regions like telomeres and centromeres. The Brassica genus is not exempt and many assemblies based on long reads are now available. The reference genome for Brassica napus, Darmor-bzh, which was published in 2014, has been produced using short-reads and its contiguity was extremely low if compared to current assemblies of the Brassica genus. FindingsHere, we report the new long-reads assembly of Darmor-bzh genome (Brassica napus) generated by combining long-reads sequencing data, optical and genetic maps. Using the PromethION device and six flowcells, we generated about 16M long-reads representing 93X coverage and more importantly 6X with reads longer than 100Kb. This ultralong-reads dataset allows us to generate one of the most contiguous and complete assembly of a Brassica genome to date (contigs N50 > 10Mb). In addition, we exploited all the advantages of the nanopore technology to detect modified bases and sequence transcriptomic data using direct RNA to annotate the genome and focus on resistance genes. ConclusionUsing these cutting edge technologies, and in particular by relying on all the advantages of the nanopore technology, we provide the most contiguous Brassica napus assembly, a resource that will be valuable for the Brassica community for crop improvement and will facilitate the rapid selection of agronomically important traits.

genomics↗

bioRxiv2019

Transcriptome profiling of mouse samples using nanopore sequencing of cDNA and RNA molecules

Our vision of DNA transcription and splicing has changed dramatically with the introduction of short-read sequencing. These high-throughput sequencing technologies promised to unravel the complexity of any transcriptome. Generally gene expression levels are well-captured using these technologies, but there are still remaining caveats due to the limited read length and the fact that RNA molecules had to be reverse transcribed before sequencing. Oxford Nanopore Technologies has recently launched a portable sequencer which offers the possibility of sequencing long reads and most importantly RNA molecules. Here we generated a full mouse transcriptome from brain and liver using the Oxford Nanopore device. As a comparison, we sequenced RNA (RNA-Seq) and cDNA (cDNA-Seq) molecules using both long and short reads technologies and tested the TeloPrime preparation kit, dedicated to the enrichment of full-length transcripts. Using spike-in data, we confirmed that expression levels are efficiently captured by cDNA-Seq using short reads. More importantly, Oxford Nanopore RNA-Seq tends to be more efficient, while cDNA-Seq appears to be more biased. We further show that the cDNA library preparation of the Nanopore protocol induces read truncation for transcripts containing internal runs of Ts. This bias is marked for runs of at least 15 Ts, but is already detectable for runs of at least 9 Ts and therefore concerns more than 20% of expressed transcripts in mouse brain and liver. Finally, we outline that bioinformatics challenges remain ahead for quantifying at the transcript level, especially when reads are not full-length. Accurate quantification of repeat-associated genes such as processed pseudogenes also remains difficult, and we show that current mapping protocols which map reads to the genome largely over-estimate their expression, at the expense of their parent gene. The entire dataset is available from http://www.genoscope.cns.fr/externe/ONT_mouse_RNA.

bioinformatics↗