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Bardou, P.

Publications and source records attributed to Bardou, P..

10 recordsLinked to original sources

Pan1c : a pipeline to easily build chromosome-level pangenome graphs

The advances of sequencing technologies and the availability of high-quality genome assemblies for many genotypes per species, give the opportunity to improve sequence alignment rate and quality, and the variant calling accuracy by including all genomic variations in a graph reference, called a pangenome graph. Because the process of building and analysing a pangenome graph is still complex, with related software packages under development, there is an important need for releasing user-friendly pipelines for this emerging research area. Pan1C is a pipeline based on a chromosome-by-chromosome graph construction strategy. It integrates two complementary strate-gies for building pangenomes and produces informative metric plots and graphics using a large set of tools. By benchmarking Pan1C on human, fungal, and wheat assemblies, which span a wide range of genome sizes and complexities, we showed the interest of Pan1C for assembly and graph validation as well as for performing primary analyses.

bioinformatics↗

A tailored variant filtering procedure for multi-breed and multi-species unbalanced animal SNP collections

Technological advancements and decreasing costs of whole-genome sequencing have generated a huge amount of resequencing data. Large-sized datasets, spanning several species and/or populations can now be assembled easily. However, they vary widely in geographical provenance, and sample sizes, with taxonomic groups varying from single to hundreds of entries. Consequently, standard filtering approaches may bias the representation of groups or gene pools. Commonly adopted variant filters relying on minor allele frequency (MAF) and linkage disequilibrium (LD) are not adequate because LD patterns and allele frequencies differ substantially within datasets representing both local and global diversity of multiple populations and species. Thus, by using the VarGoats 1000 goat genome project, we devised a novel approach which avoids the biases of the standard filtering procedures by adopting within-population subsampling, minor allele count (MAC) and marker spacing (bp-space) as filters. Starting from a quality-filtered dataset of >28M SNPs from 1372 animals, we generated a dataset of <14M markers and 750 individuals, complying with the initial requirements and facilitating further computational steps.

bioinformatics↗

The variability of goat microRNA genes is strongly shaped by functional constraints

BackgroundMicroRNAs (miRNAs) are a type of small non-coding RNAs involved in the post-transcriptional repression of target mRNA transcripts, and responsible for the fine-tuning of numerous molecular mechanisms regulating cell metabolism. In goats, multiple miRNAs are involved in coordinating the expression of networks of genes with key roles on the phenotypic variation of milk and meat traits. Although a comprehensive set of goat miRNAs has been annotated, their levels of polymorphism have not been characterized yet. Such information would be relevant in order to explore the effects of miRNA variants on phenotypes of economic interest in goats. ResultsBy using whole-genome sequencing data from 770 domestic goats with African, Asian, and European origins, we have identified polymorphic sites located within miRNA genes as well as in their flanking regions. In doing so, we have found that miRNA polymorphisms are rare (median alternative allele frequency of 0.46%) and that the distribution of polymorphic sites within and around miRNA loci is uneven. Remarkably, the stem, loop and neighbouring regulatory regions of precursor miRNA hairpins show a significantly higher polymorphism density compared to the miRNA seed, which determines the binding affinity to target mRNAs. Moreover, we have detected a differential segregation of miRNA variants across and within continental regions, with an enriched segregation of putatively high impact polymorphisms, i.e. those located in the seed and other biologically relevant regions of miRNA genes, in isolated goat populations with a low census and elevated content of runs of homozygosity. ConclusionGoat miRNA genes display low levels of variation particularly in the seed region, likely due to the action of strong purifying selection removing mutations with potential effects on gene regulatory networks linked to miRNA function. Moreover, miRNA polymorphisms tend to be more abundant in goat breeds with high levels of homozygosity, likely because purifying selection is less efficient in populations of limited size. The information provided in the current work could be useful to identify miRNA polymorphisms contributing to phenotypic variation through the disruption of gene regulatory networks in domestic goats, as well as to assess their potential impact on adaptation and fitness.

genomics↗

Inferring domestic goat demographic history through ancient genome imputation

Goats were among the earliest managed animals, making them a natural model to explore the genetic consequences of domestication. However, a challenge in ancient genomic analysis is the relatively low genome coverage for most samples, limiting analysis to pseudohaploid genotypes. Genotype imputation offers potential to alleviate this limitation by improving information content and accuracy in low coverage genomes. To test this we used published high coverage (>8x) goat palaeogenomes, imputing downsampled genomes using the VarGoats dataset (1,372 individuals) as a reference panel. Measuring concordance between imputed and high coverage genotypes, we find high concordance after filtering for common (>5%), high confidence variants, with 0.5x genomes reaching >0.97 concordance. There is a trade-off between coverage, genotype probability (GP) thresholds, and genotype recovery, where higher coverage and more lenient GP thresholds result in higher recovery, and a reduction in heterozygous false-positive rates with stricter thresholds. We then imputed 36 goat palaeogenomes with [&ge;]0.5x coverage to examine runs-of-homozygosity (ROH) and identity-by-descent (IBD) patterns. Using a novel approach combining ROH profiles across tools, we find that among Neolithic goats, ROH increases with distance from the Zagros Mountains, suggesting a large effect of the initial dispersal of managed herds. Inbreeding levels decrease across Southwest Asia in more recent periods. IBD mirrored this pattern, with less relatedness in the early herding site of Ganj Dareh compared to higher relatedness in goats from later in the dispersal process. These findings provide insights into the genetic consequences of early goat management on demography, and confirm the utility of imputation in leveraging low coverage palaeogenomes. SignificancePaleogenomics offers crucial insight into how animals were domesticated, but poor DNA preservation in ancient remains often limits the reach of genetic analyses. We utilise a cutting-edge technique, genotype imputation, to recover missing genetic information from ancient low coverage goat genomes and shine light on their domestication process. Early domestic goats showed low overall runs-of-homozygosity (ROH) and relatedness. We find that during the Neolithic, runs-of-homozygosity (ROH) and relatedness among goats increased, likely a consequence of the movement of herds beyond their natural range by humans. Inbreeding levels decline in more recent periods, potentially due to expanded herd sizes, animal trade networks, or improved husbandry practices. These findings challenge long-standing assumptions about domestication bottlenecks and highlight how ancient DNA can be used to uncover complex evolutionary histories, even from low coverage ancient samples.

genomics↗

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↗

A single base pair duplication in SLC33A1 gene causes fetal losses and neonatal lethality in Manech Tete Rousse dairy sheep

Recently, we evidenced that the Manech Tete Rousse (MTR) deficient homozygous haplotype 2 (MTRDHH2) was likely to harbor a recessive lethal variant in ovine. In the present study, we fine mapped this region by analyzing the whole genome sequence of five MTRDHH2 heterozygous carriers compared to 95 sequences of non-carrier animals from MTR and others ovine breeds. We successfully identified a single base pair duplication in the SLC33A1 gene, resulting in a frameshift leading to a premature stop codon (p.Arg246Alafs*3). SLC33A1 acts as a transmembrane transporter of acetyl-Coenzyme A, essential for cellular metabolism. In order to assess for the lethal phenotype in homozygous MTR sheep, we generated at-risk matings by artificial insemination (AI) between rams and ewes heterozygous for the SLC33A1 variant named SLC33A1_dupG. Gestation status was checked 15 days post-AI by a molecular test from blood expression of the interferon Tau-stimulated MX1 gene, and by ultrasonography performed between 45 days and 60 days post-AI. Based on ultrasonography, the AI success was reduced by 12% compared to safe matings suggesting embryonic/fetal losses further confirmed by the molecular test based on MX1 differential expression. Forty-nine lambs were born from at-risk matings with a mortality rate of 34.7% observed before weaning. Homozygous SLC33A1_dupG lambs contributed to 47% of this mortality occurring mainly in the first five days after lambing with no obvious clinical signs. Thus, an appropriate management of SLC33A1_dupG (allele frequency of 0.04) in the MTR selection scheme should increase the overall fertility and lamb survival.

genomics↗

Homozygous haplotype deficiency in Manech Tete Rousse dairy sheep revealed a nonsense variant in MMUT gene affecting newborn lamb viability

Recessive deleterious variants are known to segregate in livestock populations as in human, and some may cause lethality when homozygous. By scanning the genome of 6,845 Manech Tete Rousse dairy sheep using phased 50k SNP genotypes and pedigree data, we searched for deficiency in homozygous haplotype (DHH). Five Manech Tete Rousse deficient homozygous haplotypes (MTRDHH1 to 5) were identified with a homozygous deficiency ranging from 84% to 100%. These haplotypes are located on OAR1 (MTRDHH2 and 3), OAR10 (MTRDHH4), OAR13 (MTRDHH5) and OAR20 (MTRDHH1), and have frequencies ranging from 7.8% to 16.6%. When comparing at-risk mating between DHH carriers to safe mating between non-carriers, two DHH (MTRDHH1 and 2) showed significant effects on decreasing artificial insemination success and/or increasing stillbirth rate. We particularly investigated the MTRDHH1 haplotype highly increasing stillbirth rate, and we identified a single nucleotide variant (SNV) inducing a premature stop codon (p.Gln409*) in the MMUT gene (methylmalonyl-CoA mutase) by using a whole genome sequencing (WGS) approach. We generated homozygous lambs for the MMUT mutation by oriented mating, and most of them died within the first 24h after birth without any obvious clinical defect. RT-qPCR and western blotting performed on post-mortem liver and kidney biological samples showed a decreased expression of MMUT mRNA in the liver and absence of a full-length MMUT protein in mutated homozygous lambs. In parallel, MTRDHH4 and MTRDHH5 showed partial association with variants in RXFP2 and ASIP genes, respectively, already known to control horned/polled and coat color phenotypes in sheep, two morphological traits accounting in the MTR breed standard. Further investigations are needed to identified the supposed recessive deleterious variant hosted by MTRDHH2 and MTRDHH3. Anyway, an appropriate management of these haplotypes/variants in the MTR dairy sheep selection program should increase the overall fertility and lamb survival. Author SummaryIn this article, we used reverse genetics screen in ovine using large genotype data available in the framework of genomic selection program in Manech Tete Rousse dairy sheep. We identified five genomic regions with a highly significant deficit in homozygous animal. These regions are thus supposed to host recessive deleterious mutations. In one of these genomic regions, we identified a nonsense mutation in MMUT that alters the functioning of this essential gene of cell metabolism, causing perinatal mortality of homozygous lambs. In this work, we also identified other regions possibly associated with morphological appearance part of the breed standard such as polledness and coat color. Increasing knowledge in these genomic regions will help the future genetic management of the Manech Tete Rousse breed, particularly to reduce lamb mortality.

genomics↗

Analysis Of Polycerate Mutants Reveals The Evolutionary Co-Option Of HOXD1 To Determine The Number And Topology Of Horns In Bovidae

In the course of evolution, pecorans (i.e. higher ruminants) developed a remarkable diversity of osseous cranial appendages, collectively referred to as headgear, which likely share the same origin and genetic basis. However, the nature and function of the genetic determinants underlying their number and position remain elusive. Jacob and other rare populations of sheep and goats, are characterized by polyceraty, the presence of more than two horns. Here, we characterize distinct POLYCERATE alleles in each species, both associated with defective HOXD1 function. We show that haploinsufficiency at this locus results in the splitting of horn bud primordia, likely following the abnormal extension of an initial morphogenetic field. These results highlight the key role played by this gene in headgear patterning and illustrate the evolutionary co-option of a gene involved in the early development of bilateria to properly fix the position and number of these distinctive organs of Bovidae.

genomics↗

RumimiR: a detailed microRNA database focused on ruminant species

In recent years, the increasing use of Next Generation Sequencing technologies to explore the genome has generated large quantities of data. For microRNAs, more and more publications have described several thousand sequences, all species included. In order to obtain a detailed description of microRNAs from the literature for three ruminant species (bovine, caprine and ovine), a new database has been created: RumimiR. To date, 2,887, 2,733 and 5,095 unique microRNAs of bovine, caprine and ovine species, respectively, have been included. In addition to the most recent reference genomic position and sequence of each microRNA, this database contains details on the animals, tissue origins and experimental conditions available from the publications. Identity with human or mouse microRNA is mentioned. The RumimiR database enables data filtering, the selection of microRNAs being based on defined criteria such as animal status or tissue origin. For ruminant studies, RumimiR supplements the widely used miRBase database by browsing and filtering using complementary criteria, and the integration of all published sequences described as novel. The principal goal of this database is to provide easy access to all ruminant microRNAs described in the literature.

genomics↗

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↗