RESUMO
Butyrate and propionate represent two of three main short-chain fatty acids produced by the intestinal microbiota. In healthy populations, their levels are reportedly equimolar, whereas a deviation in their ratio has been observed in various diseased cohorts. Monitoring such a ratio represents a valuable metric; however, it remains a challenge to adopt short-chain fatty acid detection techniques in clinical settings because of the volatile nature of these acids. Here we aimed to estimate short-chain fatty acid information indirectly through a novel, simple quantitative PCR-compatible assay (liquid array diagnostics) targeting a limited number of microbiome 16S markers. Utilizing 15 liquid array diagnostics probes to target microbiome markers selected by a model that combines partial least squares and linear discriminant analysis, the classes (normal vs high propionate-to-butyrate ratio) separated at a threshold of 2.6 with a prediction accuracy of 96%.
Assuntos
Butiratos , Microbiota , Propionatos , RNA Ribossômico 16S/genética , Ácidos Graxos Voláteis/análise , Bactérias/genéticaRESUMO
BACKGROUND: A 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. RESULTS: We 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 > 381,000 genomes that were subsequently scored and ranked based on their prevalence in the healthy human metagenomes. The genomes were then clustered at a 97.5% sequence identity resolution, and cluster representatives (30,691 in total) 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. A coarser HumGut collection, consisting of genomes dereplicated at 95% sequence identity-similar to UHGG, classified 88.25% of the reads. HumGut, half the size of standard Kraken2 database and directly comparable to the UHGG size, outperforms them both. CONCLUSIONS: The HumGut collection contains > 30,000 genomes clustered at a 97.5% sequence identity 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. All data and metadata, as well as helpful code, are available at http://arken.nmbu.no/~larssn/humgut/ . Video Abstract.
Assuntos
Microbioma Gastrointestinal , Metagenoma , Microbioma Gastrointestinal/genética , Genoma Humano , Humanos , MetagenômicaRESUMO
We present a novel liquid array diagnostics (LAD) method, which enables rapid and inexpensive detection of microbial markers in a single-tube multiplex reaction. We evaluated LAD both on pure cultures, and on infant gut microbiota for a 15-plex reaction. LAD showed more than 80% accuracy of classification and a detection limit lower than 2% of the Illumina reads per sample. The results on the clinical dataset showed that there was a rapid decrease of staphylococci from 10-day- to 4-month-old children, a peak of bifidobacteria at 4 months, and a peak of Bacteroides in 2-year-old children, which is in accordance with findings described in the literature. Being able to detect up to 50 biomarkers, LAD is a suitable method for assays where high throughput is essential.
