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Hiseni, P.

Publications and source records attributed to Hiseni, P..

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Diet-Microbiome Analysis in a Healthy Cohort Reveals Potential Role of Intestinal Microbiota in Metabolism

Both preclinical and clinical studies have revealed the indisputable importance of intestinal bacterial community composition in pathogenesis of various disease states, from obesity to neurodegeneration. Diet remains one of the most important factors shaping human intestinal microbiota composition. In this study, we investigated diet-microbiome interactions in a healthy cohort of 88 participants from Atlanta and Calgary. We examine microbial composition (16S rRNA sequencing) with dietary records using Spearman Correlation tests with Benjamini-Hochberg multiple hypothesis correction to make community-level comparisons between dietary scores and microbial diversity index scores. Predictive models were used for molecular-level comparisons between microbial gene pathways and molecules. Among generalized dietary and microbial indices, we identified a negative association between dietary whole grain consumption and a microbial dysbiosis score. Comparisons between dietary food groups and bacterial family abundance reveal significant associations between dairy consumption and Lactobacillaceae abundance, dietary unsaturated to saturated fatty acid ratio and Clostridia Cluster Family XIII, salt intake and Lachnospiraceae, and consumption of greens and beans and Veillonellaceae. Predictive models of microbial gene pathways and molecules reveal significant positive associations between several dietary fatty acids and microbial short-chain fatty acid fermentation pathways, and between dietary lignans and archaeal methanogenesis pathways. Overall, these associations may inform future explorations on specific dietary interventions to impact the gut microbiome. IMPORTANCEIn this study, we compare dietary records and composition of intestinal microbes in a cohort of 88 participants. We identified associations between dietary consumption of dairy and the presence of dairy-consuming bacteria called Lactobacteriaceae and between consumption of dietary fats and the presence of fat-consuming bacteria called Clostridia. Using predictive analysis, we identify specific fatty acids associated with specific biochemical pathways found in Clostridia that might underlie these associations, in addition to an association between archaeal microbes and dietary consumption of estrogen-binding molecules called lignans, which are commonly found in whole grains and vegetables. Overall, our study generates useful associations between diet and intestinal microbes that can be tested in experiments that may help scientists use diet to control intestinal microbes in order to improve human health.

microbiology↗

HumGut: A comprehensive Human Gut prokaryotic genomes collection filtered by metagenome data

BackgroundA major bottleneck in the use of metagenome sequencing for human gut microbiome studies has been the lack of a comprehensive genome collection to be used as a reference database. Several recent efforts have been made to re-construct genomes from human gut metagenome data, resulting in a huge increase in the number of relevant genomes. In this work, we aimed to create a collection of the most prevalent healthy human gut prokaryotic genomes, to be used as a reference database, including both MAGs from the human gut and ordinary RefSeq genomes. ResultsWe screened > 5,700 healthy human gut metagenomes for the containment of > 490,000 publicly available prokaryotic genomes sourced from RefSeq and the recently announced UHGG collection. This resulted in a pool of > 379,000 genomes that were subsequently scored and ranked based on their prevalence in the healthy human metagenomes. The genomes were then clustered at subspecies resolution, and cluster representatives were retained to comprise the HumGut collection. Using the Kraken2 software for classification, we find superior performance in the assignment of metagenomic reads, classifying on average 94.5% of the reads in a metagenome, as opposed to 86% with UHGG and 44% when using standard Kraken2 database. HumGut, half the size of standard Kraken2 database and directly comparable to the UHGG size, outperforms them both. ConclusionsThe HumGut collection contains > 30,000 genomes clustered at subspecies resolution and ranked by human gut prevalence. We demonstrate how metagenomes from IBD-patients map equally well to this collection, indicating this reference is relevant also for studies well outside the metagenome reference set used to obtain HumGut. We believe this is a valuable resource in a field in dire need of method standardization. All data and metadata, as well as helpful code, are available at http://arken.nmbu.no/~larssn/humgut/.

microbiology↗