Biology subjects

Costa Monteiro Moreira, G.

Publications and source records attributed to Costa Monteiro Moreira, G..

7 recordsLinked to original sources

bioRxiv2026

Genome-wide meQTL mapping in cattle blood reveals cis and trans regulation of DNA methylation

BackgroundComplex traits are influenced by numerous variants, most of which have regulatory effects on gene expression that can be mediated by DNA methylation. Molecular QTL mapping is an approach that aims to dissect these effects. However, obtaining molecular phenotypes on a large scale is challenging, particularly in livestock species. In cattle, an epigenotyping array called EpiChip has recently been developed in the European RUMIGEN project. The EpiChip, which contains 43,317 CpG sites distributed all over the bovine genome, enables large-scale measurement of DNA methylation. This study aims to characterize the genetic determinism of blood DNA methylation in cows by estimating heritability and mapping cis- and trans-methylation QTLs (meQTLs). ResultsWhole blood samples from 4,457 genotyped Holstein cows were epigenotyped. Across all CpG sites, the heritability estimates averaged 24.6%. The local meQTL mapping at sequence-level for variable CpG sites (SD > 2.5%; n = 28,806) detected cis-meQTLs for 80.1% of the CpG sites, with sentinel SNPs located close to their associated CpGs. A two-step analysis was also conducted to identify long-range associations, with a particular focus on trans-meQTL hotspots. First, we identified CpG-SNP trans-associations using medium-density genotypes (50k SNPs) that revealed 31,846 SNPs with significant effects on 1 to 530 trans-CpG sites. Then, regions associated with at least 34 independent trans-CpGs were retained defining 31 hotpots. For each hotspot, a local sequence-level GWAS was conducted using the first principal component derived from the associated trans-CpGs. Out of the 31 detected hotspots, three were located close to transcription factor genes (RUNX1, NFIC and FOXA3) for which the associated trans-CpGs were enriched for the corresponding binding motif. Two other hotspots were located within KDM5A and KDM5B, and their corresponding trans-CpGs were strongly overrepresented in H3K4me3 narrow peaks in blood as well as in other tissues. ConclusionsBy identifying functional candidate genes associated with blood DNA methylation in cattle, these findings provide new insights into the regulatory architecture of DNA methylation in mammals, highlighting the value of large-scale molecular data from livestock populations.

genetics↗

bioRxiv2026

Heat Stress Induces Locus-Specific DNA Hypomethylation Linked to Immune Regulation in Lactating Holstein Cows

Epigenetics may play a crucial role in livestock adaptation to environmental challenges like heat stress. In recent years, a growing number of studies have investigated the epigenetic mechanisms underlying dairy cow adaptation to heat stress. However, there is still limited knowledge about the effects of heat stress on immune cells and immune-related phenotypes. Herein we aim to identify heat-stress induced DNA methylation variations on blood methylome potentially affecting regulatory regions and associated phenotypes. Blood samples were collected and peripheral blood mononuclear cell (PBMC) isolated from four cows before (D0) and after (D14) a 14-d heat stress challenge (cyclical THI 72-82) and, from four cows kept in thermoneutral conditions (THI 61-64). Heat-stressed cows had ad libitum access to diets supplemented with adequate levels of vitamin D and Ca (12,000 IU/kg of vitamin D and 0.73% Ca, respectively). To eliminate confounding effects due to differences in nutrient intake, cows maintained under thermoneutral conditions were pair-fed (PF) to their heat-stressed counterparts and received adequate concentrations of vitamin D and Ca as well. Reduced representation bisulphite sequencing (RRBS) was used to profile PBMCs methylome. Differential methylation analysis was performed using methylKit and DSS softwares ({Delta}meth [≥] 25%, adjusted p-value < 0.01), retaining only commonly detected differentially methylated cytosines (DMCs). A total of 2,908 DMCs were identified when comparing pre- and post-heat stress samples. After excluding 649 DMCs that were also detected under thermoneutral conditions, as these changes were likely associated with feed restriction inherent to the pair-feeding design rather than with heat stress per se, 2,259 heat stress-specific DMCs remained, predominantly hypomethylated. About half of the DMCs are annotated in intronic and intergenic regions; known to harbor regulatory elements. By intersecting the DMRs with publicly available functional annotation data, we observed hypomethylation on regulatory regions putatively affecting cows immune system. As an example, we identified a loss of methylation within an enhancer region of the MSN gene, which is involved in lymphocyte homeostasis, and a loss of methylation in the promoter region of MECP2, a well-established epigenetic regulator with a central role in chromatin organization and gene expression. These findings highlight the impact of heat stress on dairy cow immunity and provide new insights into its epigenetic regulation under environmental stress. Interpretative summaryThis study examined DNA methylation changes induced by heat stress in dairy cows to elucidate epigenetic mechanisms of thermal adaptation. Using RRBS on PBMCs, 2,259 heat stress-specific differentially methylated cytosines were identified, predominantly hypomethylated and enriched in regulatory regions. Functional annotation highlighted immune-related pathways, including hypomethylated regulatory regions near genes (e.g., MSN, ZBTB33, SLC25A5, GNAS, FAM3A, and MECP2) associated with immune function. These findings indicate that heat stress induces targeted epigenetic modifications potentially affecting immune regulation in dairy cows.

genomics↗

bioRxiv2025

The RUMIGEN EpiChip: a versatile, medium density DNA methylation Beadchip for large scale population studies in cattle

BackgroundDNA methylation contributes to the elaboration of phenotypes and is hypothesized to account for interindividual variations in farm animals. Currently, methodologies available to investigate DNA methylation in cattle rely on high throughput sequencing, which cannot be applied to large cohorts. To enable large scale DNA methylation analysis, we developed the RUMIGEN EpiChip, the first DNA methylation array specifically designed for cattle. ResultsManufactured by Illumina, the EpiChip contains 43,317 CpG markers allowing analysis of phenotypes of agronomical interest as well as the study of regulatory processes. The assay design drew on data from numerous studies achieved by the scientific community, and includes CpGs where methylation varies with health status, physiological stage, fertility, and environmental challenges, as well as CpGs located in functional genomic elements (promoters, CTCF binding sites, expression quantitative trait loci). The technical performances of the EpiChip were tested on several semen and blood DNA samples and in two laboratories, showing excellent repeatability, accuracy and interoperability. Methylation values were also concordant with those obtained by reduced representation bisulfite sequencing. The EpiChip has demonstrated a good ability to explore biological processes such as genomic imprinting and differences between cell types, opening the possibility of inferring blood cell composition. Finally, analysis of longitudinal ear biopsies allowed accurate age prediction, suggesting the potential of the array to refine epigenetic clocks. ConclusionsThe RUMIGEN EpiChip is a cost-effective and versatile resource that opens new opportunities for the study of regulatory mechanisms underlying phenotypic variation and for large-scale association analyses in cattle.

genomics↗

bioRxiv2024

Polyadenylated RNA sequencing analysis helps establish a reliable catalog of circular RNAs - a bovine example.

The aim of this study was to compare the circular transcriptome of divergent tissues in order to understand: i) the presence of circular RNAs (circRNAs) that are not exonic circRNAs, i.e. originated from backsplicing involving known exons and, ii) the origin of artificial circRNA (artif_circRNA), i.e. circRNA not generated in-vivo. CircRNA identification is mostly an in-silico process, and the analysis of data from the BovReg project (https://www.bovreg.eu/) provided an opportunity to explore new ways to identify reliable circRNAs. By considering 117 tissue samples, we characterized 23,926 exonic circRNAs, 337 circRNAs from 273 introns (191 ciRNAs, 146 intron circles), 108 circRNAs from small non-coding genes and nearly 36.6K circRNAs classified as other_circRNAs. We suggested in-vivo copying of specific exonic circRNAs by an RNA-dependent RNA polymerase (RdRP) to explain the 20 identified circRNAs with reverse-complement exons. Furthermore, for 63 of those samples we analyzed in parallel data from total-RNAseq (ribosomal RNAs depleted prior to library preparation) with paired mRNAseq (library prepared with poly(A)-selected RNAs). The high number of circRNAs detected in mRNAseq, and the significant number of novel circRNAs, mainly other_circRNAs, led us to consider all circRNAs detected in mRNAseq as artificial. This study provided evidence that there were 189 false entries in the list of exonic circRNAs: 103 artif_circRNAs identified through comparison of total-RNAseq/mRNAseq using two circRNA tools, 26 probable artif_circRNAs, and 65 identified through deep annotation analysis. This study demonstrates the effectiveness of a panel of highly expressed exonic circRNAs (5-8%) in analyzing the diversity of the bovine circular transcriptome.

genomics↗

bioRxiv2023

Sequenced-based GWAS for linear classification traits in Belgian Blue beef cattle reveals new coding variants in genes regulating body size in mammals

Cohorts of individuals that have been genotyped and phenotyped for genomic selection programs offer the opportunity to better understand genetic variation associated with complex traits. Here, we perform an association study for traits related to body size and muscular development in intensively selected beef cattle. We leveraged multiple trait information to refine and interpret the significant associations. After a multiple-step genotype imputation to the sequence-level for 14,762 Belgian Blue beef (BBB) cattle cows, we performed a GWAS for 11 traits related to muscular development and body size. The 37 identified genome-wide significant QTL could be condensed in 11 unique QTL regions based on their position. There was evidence for pleiotropic effects in most of these regions (e.g., correlated association signals, overlap between credible sets of candidate variants - CSCV). We consequently applied a multiple-trait approach to combine information from different traits to refine the CSCV. In several QTL regions, we identified strong candidate genes known to be related to growth and height in other species such as LCORL-NCAPG or CCND2. For some of these genes, relevant candidate variants were identified in the CSCV, including three new missense variants in EZH2, PAPPA2 and ADAM12, possibly two additional coding variants in LCORL, and candidate regulatory variants linked to CCND2 and ARMC12. Strikingly, four other QTL regions were related to five (recessive) deleterious coding variants previously identified. Heterozygotes for several of these mutations have favorable effects for muscular development traits. Our study further supports that a set of common genes controls body size across mammalian species. In particular, we added new genes to the list of those associated with height in both human and cattle. We also identified new strong candidate causing variants in some of those genes, strengthening the evidence of the causality of these genes. Several breed-specific recessive deleterious variants were identified in our QTL regions, probably as a result of the extreme selection for muscular development in BBB cattle.

genetics↗

bioRxiv2021

Benchmarking phasing software with a whole-genome sequenced cattle pedigree

BackgroundAccurate haplotype reconstruction is required in many applications in quantitative and population genomics. Different phasing methods are available but their accuracy must be evaluated for samples with different properties (population structure, marker density, etc.). We herein took advantage of whole-genome sequence data available for a Holstein cattle pedigree containing 264 individuals, including 98 trios, to evaluate several population-based phasing methods. This data represents a typical example of a livestock population, with low effective population size, high levels of relatedness and long-range linkage disequilibrium. ResultsAfter stringent filtering of our sequence data, we evaluated several population-based phasing programs including one or more versions of AlphaPhase, ShapeIT, Beagle, Eagle and FImpute. To that end we used 98 individuals having both parents sequenced for validation. Their haplotypes reconstructed based on Mendelian segregation rules were considered the gold standard to assess the performance of population-based methods in two scenarios. In the first one, only these 98 individuals were phased, while in the second one, all the 264 sequenced individuals were phased simultaneously, ignoring the pedigree relationships. We assessed phasing accuracy based on switch error counts (SEC) and rates (SER), lengths of correctly phased haplotypes and pairwise SNP phasing accuracies (the probability that a pair of SNPs is correctly phased as a function of their distance). For most evaluated metrics or scenarios, the best software was either ShapeIT4.1 or Beagle5.2, both methods resulting in particularly high phasing accuracies. For instance, ShapeIT4.1 achieved a median SEC of 50 per individual and a mean haplotype block length of 24.1 Mb in the second scenario. These statistics are remarkable since the methods were evaluated with a map of 8,400,000 SNPs, and this corresponds to only one switch error every 40,000 phased informative markers. When more relatives were included in the data, FImpute3.0 reconstructed extremely long segments without errors. ConclusionsWe report extremely high phasing accuracies in a typical livestock sample of 100 sequenced individuals. ShapeIT4.1 and Beagle5.2 proved to be the most accurate, particularly for phasing long segments. Nevertheless, most tools achieved high accuracy at short distances and would be suitable for applications requiring only local haplotypes.

genomics↗

bioRxiv2021

A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle

Clinical mastitis (CM) is an inflammatory disease occurring in the mammary glands of lactating cows. CM is under genetic control, and a prominent CM resistance QTL located on chromosome 6 was reported in various dairy cattle breeds. Nevertheless, the biological mechanism underpinning this QTL has been lacking. Herein, we mapped, fine-mapped, and discovered the putative causal variant underlying this CM resistance QTL in the Dutch dairy cattle population. We identified a ~12 kb multi-allelic copy number variant (CNV), that is in perfect linkage disequilibrium with a GWAS lead SNP, as a promising candidate variant. By implementing a genome-wide association study (GWAS) and through expression QTL mapping, we showed that the group-specific component gene (GC), a gene encoding a vitamin D binding protein, is an excellent candidate causal gene for the QTL. The multiplicated alleles are associated with increased GC expression and low CM resistance. Ample evidence from functional genomics data supports the presence of an enhancer within this CNV, which would exert cis-regulatory effect on GC. We observed that strong positive selection swept the region near the CNV, and haplotypes associated with the multiplicated allele were strongly selected for. Moreover, the multiplicated allele showed pleiotropic effects for increased milk yield and reduced fertility, hinting that a shared underlying biology for these effects may revolve around the vitamin D pathway. These findings together suggest a putative causal variant of a CM resistance QTL, where a cis-regulatory element located within a CNV can alter gene expression and affect multiple economically important traits. Author summaryClinical mastitis (CM) is an inflammatory disease that negatively influences dairy production and compromises animal welfare. Although one major genetic locus for CM resistance was mapped on bovine chromosome 6, a mechanistic description of this association has been lacking. Herein, we report a 12-kb multiallelic copy number variant (CNV), encompassing a strong enhancer for group-specific component gene (GC), as a likely causal variant for this locus. This CNV is associated with high GC expression and low CM resistance. We speculate that upregulation of GC leads to a large amount of vitamin D binding protein, which in turn, reduces biologically available vitamin D, resulting in vitamin D deficiency and low CM resistance. Despite the negative effect on CM resistance, the CNV contributes to increased milk production, hinting at balancing selection. Our results highlight how multiplication of a regulatory element can shape economically important traits in dairy cattle, both in favourable and unfavourable directions.

genomics↗