Biology subjects

Lagarrigue, S.

Publications and source records attributed to Lagarrigue, S..

13 recordsLinked to original sources

bioRxiv2026

Genetic determinism and inheritance of differential DNA methylation profiles across three successive generations in quail.

Environmental exposures can induce epigenetic modifications that persist across generations, potentially contributing to the transmission of environmentally-induced phenotypes. However, the extent to which such persistence of molecular changes are maintained independently of genetic mechanisms remains unclear. In this study, we investigated the evolution and genetic determinism of DNA methylation (DNAm) variation across three successive generations of Japanese quails (G0 to G2) belonging to two epilines, defined according to whether their female ancestor had received genistein supplementation (epi+) or not (epi-). Using reduced representation bisulfite sequencing (RRBS), we characterised CpG methylation patterns and identified differentially methylated cytosines (DMCs) and regions (DMRs) between control and genistein-supplemented epilines. Out of 112,745 CpG sites analysed, no DMCs or DMRs were detected between epilines in the first generation following exposure (G0), whereas 621 DMCs (36 DMRs) were identified in G1, and 1,381 DMCs (101 DMRs) in G2. Despite this progressive increase of differential methylation sites, mean differences in methylation rate between epilines were globally small. Similarly, genome-wide genetic differentiation between epilines was very limited. Overall, SNP-based heritability of DNA methylation was 0.19 indicating that genetic variation accounted for only a small part of the global variation of DNAm levels. By contrast, DNAm at differentially methylated CpG sites was extensively under genetic control, with a mean SNP-based heritability > 0.5, and meQTL analysis further identified significant associations between SNPs and methylation levels. Together, these results indicate that local DNAm differentiation in quail is under substantial genetic regulation, while the limited genetic differentiation between groups suggests that genetic variation alone can not fully explain the progressive accumulation of methylation differences following an ancestral exposure to genistein. These results support DNAm as a plausible molecular candidate mechanism in the multigenerational response to environmental exposure and highlight the complex interplay between genetic and epigenetic regulations in the inheritance of phenotypes.

genomics↗

bioRxiv2026

Alternative exon splicing reveals hidden mitochondrial targeting of PLIN3

Perilipin 3 (PLIN3) is a lipid droplet-associated protein implicated in cellular lipid metabolism. We characterize a previously unrecognized alternative splicing event in human PLIN3. The generated transcript PLIN3B is detectable at the RNA level across human tissues and is modulated by antisense oligonucleotide-mediated splicing. Despite clear evidence for PLIN3B transcript expression, endogenous PLIN3B protein could not be detected using multiple complementary state-of-the-art detection strategies. When expressed exogenously, PLIN3B coding sequence encodes an unstable protein that localizes predominantly within mitochondria, in contrast to canonical PLIN3. Using super-resolution microscopy, correlative light-electron microscopy, and interaction proteomics, we show that PLIN3B accumulates intramitochondrially and engages protein quality control machinery. Mitochondrial targeting depends on residues shared by both isoforms, not altered by alternative splicing, indicating that mitochondrial targeting is normally repressed. Together, these results show that alternative exon splicing in PLIN3 reveals latent mitochondrial targeting without producing detectable endogenous protein, underscoring the need to distinguish transcript diversity from stable protein expression.

cell biology↗

bioRxiv2025

Organelle-specific lipid profiles influence/underlie metabolic health in a nutrition-dependent manner

AbstractWestern diet (WD), characterized by high energy density, saturated fat and sucrose, is a major driver of obesity and insulin resistance (IR). Although dietary fat composition influences systemic lipid metabolism and insulin sensitivity, its impact on subcellular lipid classes distribution and fatty acid (FA) incorporation in skeletal muscle remains poorly defined. We hypothesized that (1) modulating dietary FA intake remodels mitochondrial and lipid droplet (LD) lipid profiles, including phospholipids (PL) and diacylglycerol (DAG) stereoisomers implicated in lipotoxicity; and (2) organelle-specific lipid profiles relate to metabolic health. C57BL/6J mice were fed WD or control chow for 12 weeks. Whole-body metabolism, insulin sensitivity and substrate use were assessed by indirect calorimetry, glucose and insulin tolerance tests, and fasting biomarkers. Mitochondria and LDs were isolated from soleus muscle for organelle-resolved lipidomics. DAG isomers and PL classes were quantified, and FA chain length and saturation patterns were analyzed in total lysate (TL), mitochondria and LDs. Correlations were performed between lipid class abundance and metabolic parameters. WD-fed mice developed obesity, dyslipidemia and early IR. Intramyocellular lipids increased, whereas mitochondrial abundance was unchanged. Organelle-resolved lipidomics revealed distinct subcellular signatures not detectable in TL. DAG FA composition mirrored dietary FA supply across compartments, with WD increasing saturated FA (SFA) and reducing di-unsaturated FA (DiUFA) species. In contrast, PL remodeling was class- and compartment-specific, with coordinated changes in mitochondria and LDs that were masked in whole-muscle TL. Several PL classes, including ether-linked phosphatidylethanolamine (ePE), phosphatidylinositol, PE and phosphatidylcholine in TL and LD, and phosphatidylserine and phosphatidylglycerol (PG) in TL and mitochondria, were strongly associated with insulin sensitivity and substrate utilization in healthy mice, but these relationships were lost under WD. LD-associated sn1,3-DAG content was a strong predictor of metabolic health in lean mice, which related to ATGL abundance. PE and PG in LD were related to obesity markers. Dietary lipid overload induces distinct and compartment-specific remodeling of the skeletal muscle lipidome. DAG and PL classes exhibited divergent FA incorporation across mitochondria, LDs and TL, with coordinated remodeling between LDs and mitochondria that remained undetectable at the whole-muscle level. Several lipid pools, particularly LD-localized 1,3-DAG, PE and PG, were consistently related to metabolic flexibility and markers of metabolic health in healthy muscle and were disrupted in WD-fed mice. These findings identify lipid class identity, FA composition and subcellular localization as key determinants of muscle adaptation to nutritional excess and point to LD phospholipids and DAG stereoisomers as potential early molecular signatures of emerging IR.

physiology↗

bioRxiv2025

Unravelling the genetic architecture of persistence in production, quality, and efficiency traits in laying hens at late production stages

BackgroundThe laying hen industry aims to extend production for the economic and environmental benefits it offers, while at the same time facing the challenges of declining egg production and quality in aging hens. To explore trait persistence, we studied 998 Rhode Island Red purebred hens from the Novogen nucleus. We recorded daily egg production from 70 to 92 weeks of age and measured individual feed intake twice a week for three weeks, starting at 70, 80, and 90 weeks, as well as body weight at the start and at the end of each feed intake recording period. Random regression models were used to study trait trajectories over time, and PCA and hierarchical clustering were applied to identify groups of hens based on estimated breeding values for the intercept and slope of traits trajectory. ResultsResults showed different aging trajectories among traits. Daily body weight variation, Feed conversion ratio, Haugh unit and yolk percentage showed persistence (i.e., stability) over the measured period. On the contrary, daily feed intake, residual feed intake, laying rate, egg mass, eggshell breaking strength and stiffness decreased over time, while body weight, mean egg weight and eggshell colour increased. To assess the feasibility of selecting for trait persistence, we estimated the genetic variance of the slope and its correlation with the intercept. We found that, for egg weight and eggshell colour, genetic variance of the slope was negligible, indicating that selection for persistence on these traits requires other means. On the contrary, the slope for other traits such as laying rate and residual feed intake showed significant additive genetic variance. Strong genetic correlations between trait estimates at different ages were also observed and heritabilities estimates were low to high depending of the traits and period. ConclusionThe study explores hens trait persistence from 70 to 92 weeks, suggesting potential for improved egg production persistence. Challenges arise from low genetic variances impacting the efficiency of the potential selection on persistence. Clustering analysis reveals distinctive response patterns to elongation of production and underlined that selecting for enhanced persistence of different traits will necessitate compromises in breeding goals.

genetics↗

bioRxiv2024

Empowering bioinformatics communities with Nextflow and nf-core

Standardised analysis pipelines are an important part of FAIR bioinformatics research. Over the last decade, there has been a notable shift from point-and-click pipeline solutions such as Galaxy towards command-line solutions such as Nextflow and Snakemake. We report on recent developments in the nf-core and Nextflow frameworks that have led to widespread adoption across many scientific communities. We describe how adopting nf-core standards enables faster development, improved interoperability, and collaboration with the >8,000 members of the nf-core community. The recent development of Nextflow Domain-Specific Language 2 (DSL2) allows pipeline components to be shared and combined across projects. The nf-core community has harnessed this with a library of modules and subworkflows that can be integrated into any Nextflow pipeline, enabling research communities to progressively transition to nf-core best practices. We present a case study of nf-core adoption by six European research consortia, grouped under the EuroFAANG umbrella and dedicated to farmed animal genomics. We believe that the process outlined in this report can inspire many large consortia to seek harmonisation of their data analysis procedures.

bioinformatics↗

bioRxiv2024

Molecular responses of chicken embryos to maternal heat stress through DNA methylation and gene expression

Climate change, with its repercussions on agriculture, is one of the most important adaptation challenges for livestock production. Poultry production is a major source of proteins for human consumption all over the world. With a growing human population, improving poultrys adaptation to environmental constraints becomes critical. Extensive evidence highlights the influence of environmental variations on epigenetic modifications. The aim of this paper is therefore to explore chickens molecular response to maternal heat stress. We employed Reduced Representation Bisulfite Sequencing (RRBS) to generate genome-wide single-base resolution DNA methylation profiling and RNA sequencing (RNA-seq) to profile the transcriptome of the brains of embryos hatched from dams reared under either heat stress (32 {degrees}C) or thermoneutrality (22{degrees}C). We detected 289 significant differentially methylated CpG sites (DMCs) and one differentially methylated region (DMR) between heat stressed and control groups. These DMCs were associated with 357 genes involved in processes such as cellular response to stimulus, developmental processes and immune function. In addition, we identified 11 genes differentially expressed between the two groups of embryos, and identified ATP9A as a target gene of maternal heat stress on offspring. This study provides a body of fundamental knowledge on adaptive mechanisms concerning heat tolerance in chickens.

genomics↗

bioRxiv2024

GEGA (Gallus Enriched Gene Annotation): an online tool providing genomics and functional information across 47 tissues for a chicken gene-enriched atlas gathering Ensembl & Refseq genome annotations

GEGA is a user-friendly tool to navigate through different genomics and functional information related to an enriched gene atlas in chicken that unifies the gene catalogues from the two reference databases, NCBI-RefSeq & EMBL-Ensembl/GENCODE, and four other additional rich resources as FAANG and NONCODE. Using the latest GRCg7b genome assembly, GEGA offers a total of 78,323 genes, including 24,102 protein-coding genes (PCGs) and 44,428 long non-coding RNAs (lncRNAs), greatly enhancing the number of genes provided by each resource separately. But GEGA is more than just a gene database. It offers a range of features that allow to go deeper into the functional aspects of these genes, e.g., by exploring their expression and co-expression profiles across 47 tissues from 36 datasets and 1400 samples, by discovering tissue-specific variations and their expression as a function of sex or age, by extracting their orthologous genes or their configuration related to the genomics closest gene. For the communities interested in one specific gene, a list of genes or a QTL region in chicken, GEGAs user-friendly interface enables efficient gene analysis, easy downloading of results and a multitude of graphical representations, from genomic information to detailed visualization of expression levels. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=138 SRC="FIGDIR/small/584813v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@80db5org.highwire.dtl.DTLVardef@bc0f1forg.highwire.dtl.DTLVardef@84dd6corg.highwire.dtl.DTLVardef@e51c4b_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2024

Variant calling and genotyping accuracy of ddRAD-seq: comparison with 20X WGS in layers

Whole Genome Sequencing (WGS) remains a costly or unsuitable method for routine genotyping of laying hens methods, thus alternatives have been developed. Among these, reduced representation sequencing approaches can offer both sequencing quality and cost-effectiveness by reducing the genomic regions covered by sequencing. The aim of this study was to evaluate the ability of double digested Restriction site Associated DNA sequencing (ddRAD-seq) to identify and genotype SNPs in laying hens, by comparison with a presumed reliable WGS approach. Firstly, the sensitivity and precision of variant calling and the genotyping reliability of ddRADseq were determined. Next, the SNP Call Rate (CRSNP) and mean depth of sequencing per SNP (DPSNP) were compared between both methods. Finally, the effect of multiple combinations of thresholds for these parameters on genotyping reliability and amount of remaining SNPs in ddRAD-seq was studied. In raw form, the ddRAD-seq identified 349,497 SNPs evenly distributed on the genome with a CRSNP of 0.55, a DPSNP of 11X and a mean genotyping reliability rate per SNP of 80%. Considering genomic regions covered by expected enzymatic fragments (EFs), the sensitivity of the ddRAD-seq was estimated at 32.4% and its precision at 96.4%. The low CRSNP and DPSNP values were explained by the detection of SNPs outside the EFs theoretically generated by the ddRAD-seq protocol. Indeed, SNPs outside the EFs had significantly lower CRSNP (0.25) and DPSNP (1X) values than SNPs within the EFs (0.7 and 17X, resp.). The study demonstrated the relationship between CRSNP, DPSNP, genotyping reliability and the number of SNPs retained, to provide a decision-support tool for defining filtration thresholds. Severe quality control over ddRAD-seq data allowed to retain a minimum of 40% of the SNPs with a CcR of 98%. Then, ddRAD-seq was defined as a suitable method for variant calling and genotyping in layers.

genomics↗

bioRxiv2023

Enriched atlas of lncRNA and protein-coding genes for the GRCg7b chicken assembly and its functional annotation across 47 tissues.

Gene atlases for livestock are steadily improving thanks to new genome assemblies and new expression data improving the gene annotation. However, gene content varies across databases due to differences in RNA sequencing data and bioinformatics pipelines, especially for long non-coding RNAs (lncRNAs) which have higher tissue and developmental specificity and are harder to consistently identify compared to protein coding genes (PCGs). As done previously in 2020 for chicken assemblies galgal5 and GRCg6a, we provide a new gene atlas, lncRNA-enriched, for the latest GRCg7b chicken assembly, integrating "NCBI RefSeq", "EMBL-EBI Ensembl/GENCODE" reference annotations and other resources such as FAANG and NONCODE. As a result, the number of PCGs increases from 18,022 (RefSeq) and 17,007 (Ensembl) to 24,102, and that of lncRNAs from 5,789 (RefSeq) and 11,944 (Ensembl) to 44,428. Using 1,400 public RNA-seq transcriptome representing 47 tissues, we provided expression evidence for 35,257 (79%) lncRNAs and 22,468 (93%) PCGs, supporting the relevance of this atlas. Further characterization including tissue-specificity, sex-differential expression and gene configurations are provided. We also identifiend conserved miRNA-hosting genes with human counterparts, suggesting common function. The annotated atlas is available at www.fragencode.org/lnchickenatlas.html.

genomics↗

bioRxiv2023

The ChickenGTEx pilot analysis: a reference of regulatory variants across 28 chicken tissues

Chicken is a valuable model for understanding fundamental biology, vertebrate evolution and diseases, as well as a major source of nutrient-dense and lean-protein-enriched food globally. Although it is the first non-mammalian amniote genome to be sequenced, the chicken genome still lacks a systematic characterization of functional impacts of genetic variants. Here, through integrating 7,015 RNA-Seq and 2,869 whole-genome sequence data, the Chicken Genotype- Tissue Expression (ChickenGTEx) project presents the pilot reference of regulatory variants in 28 chicken tissue transcriptomes, including millions of regulatory effects on primary expression (including protein-coding genes, lncRNA and exon) and post-transcriptional modifications (alternative splicing and 3 untranslated region alternative polyadenylation). We explored the tissue-sharing and context-specificity of these regulatory variants, their underlying molecular mechanisms of action, and their utility in interpreting adaptation and genome-wide associations of 108 chicken complex traits. Finally, we illustrated shared and lineage-specific features of gene regulation between chickens and mammals, and demonstrated how the ChickenGTEx resource can further assist with translating genetic findings across species. One-Sentence SummaryThe ChickenGTEx provides a multi-tissue reference of regulatory variants for chicken genetics and genomics, functional genomics, precision breeding, veterinary medicine, vertebrate evolution and even human biomedicine.

genetics↗

bioRxiv2019

Respiratory supercomplexes provide metabolic efficiency in zebrafish

The oxidative phosphorylation (OXPHOS) system is a dynamic system in which the respiratory complexes coexist with super-assembled quaternary structures called supercomplexes (SCs). The physiological role of SCs is still disputed. Here we used zebrafish to study the relevance of respiratory SCs. We combined immunodetection analysis and deep data-independent proteomics to characterize these structures and found similar SCs to those described in mice, as well as novel SCs including III2+IV2, I+IV and I+III2+IV2. To study the physiological role of SCs, we generated two null allele zebrafish lines for supercomplex assembly factor 1 (SCAF1). SCAF1-/- fish displayed altered OXPHOS activity due to the disrupted interaction of complex III and IV. SCAF1-/- fish were smaller in size, and showed abnormal fat deposition and decreased female fertility. These physiological phenotypes were rescued by doubling the food supply, which correlated with improved bioenergetics and alterations in the metabolic gene expression program. These results reveal that SC assembly by SCAF1 modulates OXPHOS efficiency and allows for the optimization of metabolic resources.

physiology↗

bioRxiv2018

Livestock genome annotation: transcriptome and chromatin structure profiling in cattle, goat, chicken and pig.

BackgroundFunctional annotation of livestock genomes is a critical step to decipher the genotype-to-phenotype relationship underlying complex traits. As part of the Functional Annotation of Animal Genomes (FAANG) action, the FR-AgENCODE project (http://www.fragencode.org) aimed to profile the landscape of transcription (RNA-seq), chromatin accessibility (ATAC-seq) and conformation (Hi-C) in four livestock species representing ruminants (cattle, goat), monogastrics (pig) and birds (chicken), using three target samples related to metabolism (liver) and immunity (CD4+ and CD8+ T cells).\n\nResultsRNA-seq assays considerably extended the available catalog of annotated transcripts and identified differentially expressed genes with unknown function, including new syntenic lncRNAs. ATAC-seq highlighted an enrichment for transcription factor binding sites in differentially accessible regions of the chromatin. Comparative analyses revealed a core set of conserved regulatory regions across species. Topologically Associating Domains (TADs) and epigenetic A/B compartments annotated from Hi-C data were consistent with RNA-seq and ATAC-seq data. Multi-species comparisons showed that conserved TAD boundaries had stronger insulation properties than species-specific ones and that the genomic distribution of orthologous genes in A/B compartments was significantly conserved across species.\n\nConclusionsWe report the first multi-species and multi-assay genome annotation results obtained by a FAANG project. Beyond the generation of reference annotations and the confirmation of previous findings on model animals, the integrative analysis of data from multiple assays and species sheds a new light on the multi-scale selective pressure shaping genome organization from birds to mammals. Overall, these results emphasize the value of FAANG for research on domesticated animals and reinforces the importance of future meta-analyses of the reference datasets being generated by this community on different species.

genomics↗

bioRxiv2017

Muscle transcriptome analysis reveals molecular pathways and biomarkers involved in extreme ultimate pH and meat defect occurrence in chicken

The processing ability and sensory quality of chicken breast meat are highly related to its ultimate pH (pHu), which is mainly determined by the amount of glycogen in the muscle at death. To unravel the molecular mechanisms underlying glycogen and meat pHu variations and to identify predictive biomarkers of these traits, a transcriptome profiling analysis was performed using an Agilent custom chicken 8x60K microarray. The breast muscle gene expression patterns were studied in two chicken lines experimentally selected for high (pHu+) and low (pHu-) pHu values of the breast meat. Across the 1,436 differentially expressed (DE) genes found between the two lines, many were involved in biological processes related to muscle development and remodelling and carbohydrate and energy metabolism. The functional analysis showed an intensive use of carbohydrate metabolism to produce energy in the pHu- line, while alternative catabolic pathways were solicited in the muscle of the pHu+ broilers, compromising their muscle development and integrity. After a validation step on a population of 278 broilers using microfluidic RT-qPCR, 20 genes were identified by partial least squares regression as good predictors of the pHu, opening new perspectives of screening broilers likely to present meat quality defects.

genomics↗