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Host cell chromatin changes are thought to play an important role in the pathogenesis of infectious diseases. Here we describe a histone acetylome-wide association study (HAWAS) of an infectious disease, on the basis of genome-wide H3K27 acetylation profiling of peripheral blood granulocytes and monocytes from persons with active Mycobacterium tuberculosis (Mtb) infection and healthy controls. We detected >2,000 differentially acetylated loci in either cell type in a Singapore Chinese discovery cohort (n = 46), which were validated in a subsequent multi-ethnic Singapore cohort (n = 29), as well as a longitudinal cohort from South Africa (n = 26), thus demonstrating that HAWAS can be independently corroborated. Acetylation changes were correlated with differential gene expression. Differential acetylation was enriched near potassium channel genes, including KCNJ15, which modulates apoptosis and promotes Mtb clearance in vitro. We performed histone acetylation quantitative trait locus (haQTL) analysis on the dataset and identified 69 candidate causal variants for immune phenotypes among granulocyte haQTLs and 83 among monocyte haQTLs. Our study provides proof-of-principle for HAWAS to infer mechanisms of host response to pathogens.

Marmosets, especially Callithrix jacchus, are becoming valuable, high-demand biomedical models but their supply outside of their native Brazil is limited. Thus, uncovering the ancestry and biogeographic origins of captive marmosets is an essential task to optimize their biomedical use. Such information facilitates assessing standing levels of captive marmoset genetic diversity, identifying hybrids, and maintaining genetic diversity of captive marmoset populations. Here, we present 16 newly sequenced mitochondrial genomes from marmosets with C. jacchus phenotypes from international biomedical and animal supply facilities. We combine these new data with publicly available sequences to compare usage of mitogenome and the mtDNA control region for determining the ancestry and diversity of captive marmosets. MtDNA control region and mitogenome haplotypes from all 16 newly sequenced marmosets grouped within C. jacchus phylogenetic clades. Overall, phylogenies based on mitogenomes rather than the control region showed better resolved branching patterns with stronger statistical support within C. jacchus clades. However, both mtDNA markers show that C. jacchus is the sister clade to the phylogenetic C. penicillata Caatinga biome clade. Callithrix jacchus mtDNA control region haplotypes showed the highest haplotype and nucleotide diversity, and were intermediate in terms of per sequence theta and polymorphic sites. The larger number of available Callithrix mtDNA control region sequences relative to mitogenomes was used to determine ancestral mtDNA haplotype biogeographic origins. However, biogeographic origins for many C. jacchus haplotypes including those from international captive facilities could not be determined, which we attributed to unknown provenance information from natural C. jacchus populations. Given our results, we encourage increased sampling and genomic sequencing efforts for natural C. jacchus populations in Brazil, and utilizing the mitogenome over other mtDNA markers for phylogenetic-based analyses. Further, combining marmoset mitogenomic data with phenotypic and nuclear genomic data will greatly enhance the biomedical use of marmosets.

International audience; No abstract available

Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides that are not translated into proteins. They have recently gained widespread attention due to the finding that tens of thousands of lncRNAs reside in the human genome, and due to an increasing number of lncRNAs that are found to be associated with disease. Some lncRNAs, including disease-associated ones, play different roles in regulating the cell cycle. Mathematical models of the cell cycle have been useful in better understanding this biological system, such as how it could be robust to some perturbations and how the cell cycle checkpoints could act as a switch. Here, we discuss mathematical modeling techniques for studying lncRNA regulation of the mammalian cell cycle. We present examples on how modeling via network analysis and differential equations can provide novel predictions toward understanding cell cycle regulation in response to perturbations such as DNA damage.