Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences

• Published in: Nature communications Vol. 10; no. 1; pp. 3136 - 11
• Main Authors: Mallick, Himel, Franzosa, Eric A., Mclver, Lauren J., Banerjee, Soumya, Sirota-Madi, Alexandra, Kostic, Aleksandar D., Clish, Clary B., Vlamakis, Hera, Xavier, Ramnik J., Huttenhower, Curtis
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.07.2019; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1305; 631/114/2415; 631/326/2565/2134; 631/326/2565/2142; 631/45/320; Algorithms; Colitis, Ulcerative - microbiology; Communities; Computer applications; Crohn Disease - microbiology; Design of experiments; Experimental design; Gastrointestinal Microbiome - genetics; Humanities and Social Sciences; Humans; Intestinal microflora; Metabolites; Metabolomics; Metagenomics; Microbial activity; Microbiomes; Microbiota - genetics; Microorganisms; Models, Genetic; multidisciplinary; Science; Science (multidisciplinary); Vagina

Microbial community metabolomics, particularly in the human gut, are beginning to provide a new route to identify functions and ecology disrupted in disease. However, these data can be costly and difficult to obtain at scale, while amplicon or shotgun metagenomic sequencing data are readily availabl...