McMullen, J. | bioRxiv Science

bioRxiv2022

Eight principal chromatin states functionally segregate the fly genome into developmental and housekeeping roles

Different chromatin forms, or states, represent a fundamental means of controlling gene regulation. Chromatin states have been studied through either the distribution of histone modifications (e.g. 1-5) or more rarely via the occupancy of chromatin proteins 6-8. However, these two approaches disagree on the nature and composition of active chromatin states 2,9 and modelling chromatin via both histone marks and chromatin proteins has been lacking. Here, combining protein and histone mark profiles, we show that chromatin in Drosophila melanogaster is organised into eight principle chromatin states that have consistent forms and constituents across cell types. These states form through the association of the Swi/Snf chromatin remodelling complex, Polycomb Group (PcG)/H3K27me3, HP1a/H3K9me3 or H3K36me3 complexes with either active complexes (RNA Pol/COM-PASS/H3K4me3/NuRF) or repressive marks (histone H1 and nuclear lamin occupancy). Enhancers, core promoters, transcription factor motifs, and gene bodies show distinct chromatin state preferences that separate by developmental and housekeeping/metabolic gene ontology. Within the 3D genome, chromatin states add an additional level of compartmentalisation through self-association of topologically associated domains (TADs) of the same state. Our results suggest that the epigenetic landscape is organised by the binding of chromatin remodellers and repressive complexes, and that through chromatin states the genome is fundamentally segregated into developmental and housekeeping/metabolic roles.

genomics↗

bioRxiv2021

The Predicted Metabolic Function of the Gut Microbiota of Drosophila melanogaster

An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and its impact on host physiology. This research can be confounded by poorly-understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multi-way interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle including 2-oxoglutarate and succinate are produced at high flux and cross-fed between bacterial taxa suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host. IMPORTANCEDrosophila is an important model for microbiome research partly because of the low complexity of its mostly culturable gut microbiota. Our current understanding of how Drosophila interacts with its gut microbes and how these interactions influence host traits derives almost entirely from empirical studies that focus on individual microbial taxa or classes of metabolites. These studies have failed to capture fully the complexity of metabolic interactions that occur between host and microbe. To overcome this limitation, we reconstructed and analyzed 31 metabolic models for every combination of the five principal bacterial taxa in the gut microbiome of Drosophila. This revealed that metabolic interactions between between Drosophila gut bacterial taxa are highly dynamic and influenced by co-occurring bacteria and nutrient availability. Our results generate testable hypothesis about among-microbe ecological interactions in the Drosophila gut and the diversity of metabolites available to influence host traits.

microbiology↗