Metagenomics

Metagenomics is the study of all genetic material from all organisms in a particular environment, providing insights into their composition, diversity, and functional potential. Metagenomics has allowed researchers to profile the microbial composition of environmental and clinical samples without the need for time-consuming culture of individual species.

Metagenomics has transformed microbial ecology and evolutionary biology by uncovering previously hidden biodiversity and metabolic capabilities. As the cost of DNA sequencing continues to decline, metagenomic studies now routinely profile hundreds to thousands of samples, enabling large-scale exploration of microbial communities and their roles in health and global ecosystems.[2][3][4]

Metagenomic studies most commonly employ shotgun sequencing[5] though long-read sequencing is being increasingly utilised as technologies advance.[6] The field is also referred to as environmental genomics, ecogenomics, community genomics, or microbiomics and has significantly expanded the understanding of microbial life beyond what traditional cultivation-based methods can reveal.

Metagenomics is distinct from Amplicon sequencing, also referred to as Metabarcoding or PCR-based sequencing.[7] The main difference is the underlying methodology, since metagenomics targets all DNA in a sample, while Amplicon sequencing amplifies and sequences one or multiple specific genes.[8] Data utilisation also differs between these two approaches. Amplicon sequencing provides mainly community profiles detailing which taxa are present in an sample, whereas metagenomics also recovers encoded enzymes and pathways.[9] Amplicon sequencing was frequently used in early environmental gene sequencing focused on assessing specific highly conserved marker genes, such as the 16S rRNA gene, to profile microbial diversity. These studies demonstrated that the vast majority of microbial biodiversity had been missed by cultivation-based methods.[10]

  1. ^ Cite error: The named reference wooley2010 was invoked but never defined (see the help page).
  2. ^ Thompson, Luke R.; Sanders, Jon G.; McDonald, Daniel; Amir, Amnon; Ladau, Joshua; Locey, Kenneth J.; Prill, Robert J.; Tripathi, Anupriya; Gibbons, Sean M.; Ackermann, Gail; Navas-Molina, Jose A.; Janssen, Stefan; Kopylova, Evguenia; Vázquez-Baeza, Yoshiki; González, Antonio (November 2017). "A communal catalogue reveals Earth's multiscale microbial diversity". Nature. 551 (7681): 457–463. Bibcode:2017Natur.551..457T. doi:10.1038/nature24621. ISSN 1476-4687. PMC 6192678. PMID 29088705.
  3. ^ Stewart, Christopher J.; Ajami, Nadim J.; O’Brien, Jacqueline L.; Hutchinson, Diane S.; Smith, Daniel P.; Wong, Matthew C.; Ross, Matthew C.; Lloyd, Richard E.; Doddapaneni, HarshaVardhan; Metcalf, Ginger A.; Muzny, Donna; Gibbs, Richard A.; Vatanen, Tommi; Huttenhower, Curtis; Xavier, Ramnik J. (October 2018). "Temporal development of the gut microbiome in early childhood from the TEDDY study". Nature. 562 (7728): 583–588. Bibcode:2018Natur.562..583S. doi:10.1038/s41586-018-0617-x. ISSN 1476-4687. PMC 6415775. PMID 30356187.
  4. ^ Carlino, Niccolò; Blanco-Míguez, Aitor; Punčochář, Michal; Mengoni, Claudia; Pinto, Federica; Tatti, Alessia; Manghi, Paolo; Armanini, Federica; Avagliano, Michele; Barcenilla, Coral; Breselge, Samuel; Cabrera-Rubio, Raul; Calvete-Torre, Inés; Coakley, Mairéad; Cobo-Díaz, José F. (3 October 2024). "Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome". Cell. 187 (20): 5775–5795.e15. doi:10.1016/j.cell.2024.07.039. hdl:10261/373917. ISSN 0092-8674.
  5. ^ Cite error: The named reference Eisen2007 was invoked but never defined (see the help page).
  6. ^ Chen, Liang; Zhao, Na; Cao, Jiabao; Liu, Xiaolin; Xu, Jiayue; Ma, Yue; Yu, Ying; Zhang, Xuan; Zhang, Wenhui; Guan, Xiangyu; Yu, Xiaotong; Liu, Zhipeng; Fan, Yanqun; Wang, Yang; Liang, Fan (8 June 2022). "Short- and long-read metagenomics expand individualized structural variations in gut microbiomes". Nature Communications. 13 (1): 3175. Bibcode:2022NatCo..13.3175C. doi:10.1038/s41467-022-30857-9. ISSN 2041-1723. PMC 9177567. PMID 35676264.
  7. ^ Zepeda Mendoza, Marie Lisandra; Sicheritz-Pontén, Thomas; Gilbert, M. Thomas P. (1 September 2015). "Environmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses". Briefings in Bioinformatics. 16 (5): 745–758. doi:10.1093/bib/bbv001. ISSN 1467-5463. PMC 4570204. PMID 25673291.
  8. ^ Rieder, Jessica; Kapopoulou, Adamandia; Bank, Claudia; Adrian-Kalchhauser, Irene (14 February 2023). "Metagenomics and metabarcoding experimental choices and their impact on microbial community characterization in freshwater recirculating aquaculture systems". Environmental Microbiome. 18 (1): 8. Bibcode:2023EMicb..18....8R. doi:10.1186/s40793-023-00459-z. ISSN 2524-6372. PMC 9930364. PMID 36788626.
  9. ^ Semenov, M. V. (1 January 2021). "Metabarcoding and Metagenomics in Soil Ecology Research: Achievements, Challenges, and Prospects". Biology Bulletin Reviews. 11 (1): 40–53. Bibcode:2021BioBR..11...40S. doi:10.1134/S2079086421010084. ISSN 2079-0872.
  10. ^ Cite error: The named reference Hugenholz1998 was invoked but never defined (see the help page).