Literature DB >> 32996782

The new microbiology: cultivating the future of microbiome-directed medicine.

Connie W Y Ha1, Suzanne Devkota1.   

Abstract

The discovery of human-associated microscopic life forms has captivated the scientific community since their first documentation in the 17th century. Subsequent isolation and cultivation of microorganisms have spurred great leaps in medicine, including the discovery of antibiotics, identifying pathogens that cause infectious diseases, and vaccine development. The realization that there is a vast discrepancy between the number of microscopic cell counts and how many could thrive in the laboratory motivated the advent of sequencing-based approaches to characterize the uncultured fraction of the microbiota, leading to an unprecedented view into their composition and putative function on all bodily surfaces. It soon became apparent that specific members of the microbiota can be our commensal partners with new implications on various aspects of health, as well as a rich source of therapeutic compounds and tools for biotechnology. Harnessing the immense repertoire of microbial properties, however, inadvertently requires pure cultures for validation and manipulation of candidate genes, proteins, or metabolic pathways, just as mammalian cell culture has become an indispensable tool for mechanistic understanding of host biology. Yet, this renewed interest in growing microorganisms, individually or as a consortium, is stalled by the laborious nature of conventional cultivation methods. Addressing this unmet need through implementation of improved media design and new cultivation techniques is arguably instrumental to future milestones in translational microbiome research.

Entities:  

Keywords:  cultivation; cultureomics; microbiology; microbiome; sequencing

Mesh:

Year:  2020        PMID: 32996782     DOI: 10.1152/ajpgi.00093.2020

Source DB:  PubMed          Journal:  Am J Physiol Gastrointest Liver Physiol        ISSN: 0193-1857            Impact factor:   4.052


  1 in total

Review 1.  Machine Learning Advances in Microbiology: A Review of Methods and Applications.

Authors:  Yiru Jiang; Jing Luo; Danqing Huang; Ya Liu; Dan-Dan Li
Journal:  Front Microbiol       Date:  2022-05-26       Impact factor: 6.064

  1 in total

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