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Costeira, R.

Publications and source records attributed to Costeira, R..

6 recordsLinked to original sources

methbiome: reference-based DNA methylation profiling of long-read metagenomic data

SummaryLong-read DNA sequencing technologies collect base modification information, but their capacity to profile epigenetic signals has not been widely explored within metagenomic context. Here, we present a novel pipeline consolidating key steps of meta-epigenomic profiling. methbiome can process both Oxford Nanopore and PacBio long-reads within a reference-based framework, facilitating cross-platform and between-sample comparison of DNA methylation signals in whole microbiomes. The tool is applicable to both microbial communities and isolates, for analyses within both methylation motifs as well as out-of-motif contexts, and can be used in metaepigenome-wide association studies. Availability and Implementationmethbiome was implemented using Snakemake and is available on GitHub (github.com/ricardocosteira/methbiome).

bioinformatics↗

Theobromine is Associated with Slower Epigenetic Ageing

Theobromine, a commonly consumed dietary alkaloid derived from cocoa, has been linked to extended lifespan in model organisms and to health benefits in humans. We examined associations between circulating theobromine intake, measured using serum metabolomics, and blood-based epigenetic markers of biological ageing in two European human population-based cohorts. Serum theobromine levels were significantly associated with reduced epigenetic age acceleration, as measured by GrimAge (p<2e-7) and DNAmTL (p<0.001) in over 500 individuals from the TwinsUK cohort, and both signals replicated in 1,160 individuals from the KORA cohort (p = 7.2e-08 and p = 0.007, respectively). Sensitivity analyses including covariates of other cocoa and coffee metabolites suggest that the effect is specific to theobromine. Our findings indicate that the reported beneficial links between theobromine intake on health and ageing extend to the molecular epigenetic level in humans.

genetics↗

DNA methylation and gene expression trajectories of human postprandial metabolism

Human postprandial metabolism is characterised by a highly individualised response to food that is predictive of cardiometabolic health and underexplored at the molecular level. We profiled blood DNA methylation (DNAm) and gene expression trajectories before and after a test meal in 225 European participants. We identify DNAm changes at fasting, 30 minutes and 4 hours after meal challenge, including in metabolically relevant genes INPP4A, GHRL, ASIP and ABCG1, with changes observed as early as 30mins postprandially. Gene expression trajectories also changed postprandially predominantly at 4 hours, with replication of lipid metabolism (CPT1A) and circadian rhythm (PER1) genes. Genetic variants affect postprandial molecular trajectories at genes linked to obesity (PDE9A) and glucose response (GPT2). Multiple signals associated with postprandial glucose and triglyceride levels, with replication of CPT1A methylation. The postprandial DNAm and expression trajectories target metabolically relevant genes, giving insights towards mechanisms underlying inter-individual response to food and cardiometabolic disease risk.

genomics↗

Hemin availability induces coordinated DNA methylation and gene expression changes in Porphyromonas gingivalis

Periodontal disease is a common chronic inflammatory disease. Porphyromonas gingivalis is an important bacterium in the development of the disease and expresses a variety of virulence determinants. Hemin (iron [III] protopotphyrin IX), an essential nutrient of this organism, whose concentration increases with increasing inflammation, is a global regulator of virulence in P. gingivalis: high hemin levels increase expression of several virulence determinants. However, the mechanism through which hemin influences bacterial gene expression is poorly understood. Bacterial DNA methylation has the potential to fulfil this mechanistic role. Here, we characterised the methylome of P. gingivalis, and compared its variation to transcriptomic changes in response to changes in hemin concentration. Gene expression and DNA methylation profiling of P. gingivalis W50 was performed, following continuous culture in chemostats with excess or limited hemin, using Illumina RNA-Seq and Nanopore DNA sequencing. DNA methylation quantification was carried out for Dam/Dcm motifs and all-context N6-methyladenine (6mA) and 5-methylcytosine (5mC) base pair modifications. Differential expression and methylation in response to excess hemin availability are presented after multiple testing correction (FDR 5%). In excess hemin there were 161 over- and 268 under-expressed genes compared to limited hemin. Genes under-expressed in excess hemin were involved in iron recruitment (the hemophore HmuY) and transport (TonB-dependent receptors), and those over-expressed were involved in iron-sulphur cluster binding. Hemin-dependent differentially methylation was observed for the Dam GATC motif and all-context 6mA and 5mC, with 36, 49 and 47 signals, respectively. Coordinated genome-wide differential expression and methylation effects were observed in 6 genes encoding a Ppx/GppA family phosphatase, a lactate utilization protein, a 4-alpha-glucanotransferase, two ABC transporter proteins, and a hypothetical protein HMPREF1322_RS00730. The findings indicate that altered genome methylation occurs in response to the availability of hemin and give insights into the molecular mechanisms of regulation of virulence in this bacterium. Author SummaryDNA methylation has important roles in bacteria, including in the regulation of transcription. Porphyromonas gingivalis, an oral pathogen in periodontitis, exhibits well-established gene expression changes in response to hemin availability. However, the gene regulatory processes underlying these effects remain unknown. To this end, we profiled the novel P. gingivalis epigenome, and assessed epigenetic and transcriptome variation under limited and excess hemin conditions. As expected, multiple gene expression changes were detected in response to limited and excess hemin conditions that reflect conditions associated with health and disease, respectively. Notably, we also detected differential DNA methylation signatures for the Dam GATC motif and both all-context N6-methyladenine (6mA) and 5-methylcytosine (5mC) in response to hemin availability. Joint analyses identified a subset of coordinated changes in gene expression, 6mA, and 5mC methylation that target genes involved in lactate utilization and ABC transporters. The results identify novel regulatory processes underlying the mechanism of hemin regulated gene expression in P. gingivalis, with phenotypic impacts on its virulence in periodontal disease.

genomics↗

Host genetic and environmental factors shape the human gut resistome

BackgroundUnderstanding and controlling the spread of antimicrobial resistance is one of the greatest challenges of modern medicine. To this end many efforts focus on characterising the human resistome or the set of antibiotic resistance determinants within the microbiome of an individual. Aside from antibiotic use, other host environmental and genetic factors that may shape the resistome remain relatively underexplored. MethodsUsing gut metagenome data from 250 TwinsUK female twins, we quantified known antibiotic resistance genes to estimate gut microbiome antibiotic resistance potential for 41 types of antibiotics and resistance mechanisms. Using heritability modelling, we assessed the influence of host genetic and environmental factors on the gut resistome. We then explored links between gut resistome, host health and specific environmental exposures using linear mixed effect models adjusted for age, BMI, alpha diversity and family structure. ResultsWe considered gut microbiome antibiotic resistance to 21 classes of antibiotics, for which resistance genes were detected in over 90% of our population sample. Using twin modelling, we estimated that on average about 25% of resistome variability could be attributed to host genetic influences. Greatest heritability estimates were observed for resistance potential to acriflavine (70%), dalfopristin (51%), clindamycin (48%), aminocoumarin (48%) and the total score summing across all antibiotic resistance genes (38%). As expected, the majority of resistome variability was attributed to host environmental factors specific to an individual. We compared antibiotic resistance profiles to multiple environmental exposures, lifestyle and health factors. The strongest associations were observed with alcohol and vegetable consumption, followed by high cholesterol medication and antibiotic usage. Overall, inter-individual variation in host environment showed modest associations with antibiotic resistance profiles, and host health status had relatively minor signals. ConclusionOur results identify host genetic and environmental influences on the human gut resistome. The findings improve our knowledge of human factors that influence the spread of antibiotic resistance genes and may contribute towards helping to attenuate it.

microbiology↗

Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption

Coffee and tea are extensively consumed beverages worldwide. Observational studies have shown contradictory findings for the association between consumption of these beverages and different health outcomes. Epigenetics is suggested as a mechanism mediating the effects of dietary and lifestyle factors on disease onset. We conducted epigenome-wide association studies (EWAS) on coffee and tea consumptions in 15,789 participants of European and African-American ancestries from 15 cohorts. EWAS meta-analysis revealed 11 CpG sites significantly associated with coffee consumption (P-value <1.1x10-7), nine of them annotated to the genes AHRR, F2RL3, FLJ43663, HDAC4, GFI1 and PHGDH, and two CpGs suggestively associated with tea consumption (P-value<5.0x10-6). Among these, cg14476101 was significantly associated with expression of its annotated gene PHGDH and risk of fatty liver disease. Knockdown of PHGDH expression in liver cells showed a correlation with expression levels of lipid-associated genes, suggesting a role of PHGDH in hepatic-lipid metabolism. Collectively, this study indicates that coffee consumption is associated with differential DNA methylation levels at multiple CpGs, and that coffee-associated epigenetic variations may explain the mechanism of action of coffee consumption in conferring disease risk.

genomics↗