Application of Compositional Data Analysis to Study the Relationship between Bacterial Diversity in Human Faeces and Sex, Age, and Weight

• Published in: Biomedicines Vol. 11; no. 8; p. 2134
• Main Authors: López-García, Elio, Benítez-Cabello, Antonio, Arenas-de Larriva, Antonio Pablo, Gutierrez-Mariscal, Francisco Miguel, Pérez-Martínez, Pablo, Yubero-Serrano, Elena María, Arroyo-López, Francisco Noé, Garrido-Fernández, Antonio
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 28.07.2023; MDPI
• Subjects: Age; Bacteria; bacterial population; Biological diversity; clinical trial; Clinical trials; Data analysis; Datasets; Desulfovibrio; Diversity indices; Feces; human stool; Metagenomics; metataxonomic analysis; Microbiota (Symbiotic organisms); Next-generation sequencing; Ribosomal RNA; rRNA 16S; Sex; Software; Streptococcus; Weight; Spain; United States > US

This work uses Compositional Data Analysis (CoDA) to examine the typical human faecal bacterial diversity in 39 healthy volunteers from the Andalusian region (Spain). Stool samples were subjected to high-throughput sequencing of the V3 and V4 regions of the 16S ribosomal RNA gene using Illumina MiSe...