Decoding Microbial Networks: An Insight into 16S rRNA and Whole Genome Sequencing Approaches in Metagenomic Studies

Abstract

The exploration of microbial communities is pivotal in understanding environmental, human, and animal ecosystem dynamics. Advances in high-throughput sequencing technologies have significantly enriched our insights into microbiomes, with 16S rRNA and Whole Genome Sequencing (WGS) being central methodologies. This review delineates a comparative analysis of these sequencing techniques, particularly focusing on different hypervariable regions of 16S rRNA (V3-V4 and V2-3-4-6-7-8-9) and WGS. The 16S rRNA sequencing, despite being cost-effective and less computationally demanding, often limits identification to the genus level. In contrast, WGS, while being resource-intensive, provides a broader spectrum of microbial identification including bacteria, viruses, fungi, and parasites, alongside a deeper insight into microbial functional attributes. The challenges associated with sequencing depth in WGS are discussed, alongside emerging mitigating strategies like host DNA depletion. The choice between these methodologies hinges on the project objectives and available resources. This comparative assessment aims to guide researchers in selecting the apt sequencing approach for their metagenomic studies, thereby facilitating a more extensive understanding of microbial ecosystems.

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Copyright

© 2023 Alfonsi C, et al. Distributed under Creative Commons CC-BY 4.0

How to cite this article

Alfonsi C, Di Pietro F, Papa FT, Gabrielli F. Decoding Microbial Networks: An Insight into 16S rRNA and Whole Genome Sequencing Approaches in Metagenomic Studies. J Biomed Res Environ Sci. 2023 Oct 21; 4(10): 1443-1446. doi: 10.37871/ jbres1816, Article ID: JBRES1816, Available at: https://www.jelsciences.com/articles/jbres1816.pdf

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