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Microbiome research is a thriving field focused on characterizing the composition and functionality of microbial populations or microbiomes from a wide array of ecological niches. Microbiomes occupy living organisms, soil, the atmosphere, and bodies of water and exist in moderate and extreme climates. Understanding the intractable microbial universes in various environments is challenging and potentially rewarding to humankind. Historically, elucidating pathogenic microbes and their impact on host species has dominated microbiome-based studies. Moreover, a tiny percentage of microbes can be cultured using classical culturing methods. With advancements in high throughput experimentation and computational tools derived from microbial ecology, there is a driving force to gain insight into the entire microbial consortium from various environmental and biological locations. Metagenomics, the study of all the microbial genomes in a sample using sequencing techniques (e.g., 16s rRNA amplicon sequencing and shotgun sequencing), has so far dominated the types of investigations conducted in the field of microbiome research. More recently, however, researchers are becoming increasingly interested in better understanding the complex microbe-associated molecular network and specific protein and metabolite functions associated with microbial genetic potential. Metaproteomic, meta transcriptomics, and metabolomics are three potent methods to accumulate information about microbial proteins, messenger RNA, and metabolites in a microbial community. These methods are currently being applied in laboratory settings to address our general lack of understanding of microbe-microbe interactions and microbe-environment interactions.
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Perspective: Simple State Communities to Study Microbial Interactions: Examples and Future Directions
Microbial interactions in natural environments are intricately complex. High numbers and rich diversity of microorganisms, along with compositional heterogeneities complicate the cause. It is essential to simplify these complex communities to understand the microbial interactions. We proposed a concept of “ simple state community ,” which represents a subset of microbes and/or microbial functions of the original population that is necessary to build a stable community. By combining microbial culturing and high-throughput sequencing, we can better understand microbe-microbe and microbe-host interactions. To support our proposed model, we used carbon-based and nitrogen-based media to capture the simple state communities. We used 16S rRNA amplicon sequencing and assigned taxonomic identity to the bacterial populations before and after simple state communities. We showed that simple state communities were a subset of the original microbial communities at both phyla and genera level. We further used shotgun metagenomics to gain insights into the functional potential of the assembled simple state communities. Our proposed model supported the goal of simplifying the complex communities across diverse systems to provide opportunity to facilitate comprehension of both the structure and function of the subset communities. Further applications of the concept include the high-throughput screening of simple state communities using the BIOLOG ® system and continuous culturing (Chemostat). This concept has the potential to test diverse experimental hypotheses in simplified microbial communities, and further extend that knowledge to answer the overarching questions at a more holistic level.
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- Award ID(s):
- 1656006
- PAR ID:
- 10322772
- Date Published:
- Journal Name:
- Frontiers in Microbiology
- Volume:
- 13
- ISSN:
- 1664-302X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3389/fmicb.2022.801864
