The multi-omics promise in context: from sequence to microbial isolate
- PMID: 28562180
- DOI: 10.1080/1040841X.2017.1332003
The multi-omics promise in context: from sequence to microbial isolate
Abstract
The numbers and diversity of microbes in ecosystems within and around us is unmatched, yet most of these microorganisms remain recalcitrant to in vitro cultivation. Various high-throughput molecular techniques, collectively termed multi-omics, provide insights into the genomic structure and metabolic potential as well as activity of complex microbial communities. Nonetheless, pure or defined cultures are needed to (1) decipher microbial physiology and thus test multi-omics-based ecological hypotheses, (2) curate and improve database annotations and (3) realize novel applications in biotechnology. Cultivation thus provides context. In turn, we here argue that multi-omics information awaits integration into the development of novel cultivation strategies. This can build the foundation for a new era of omics information-guided microbial cultivation technology and reduce the inherent trial-and-error search space. This review discusses how information that can be extracted from multi-omics data can be applied for the cultivation of hitherto uncultured microorganisms. Furthermore, we summarize groundbreaking studies that successfully translated information derived from multi-omics into specific media formulations, screening techniques and selective enrichments in order to obtain novel targeted microbial isolates. By integrating these examples, we conclude with a proposed workflow to facilitate future omics-aided cultivation strategies that are inspired by the microbial complexity of the environment.
Keywords: Bacterial cultivation; metagenomics; metatranscriptomics; multi-omics.
Similar articles
-
Microbial cultivation and the role of microbial resource centers in the omics era.Appl Microbiol Biotechnol. 2013 Jan;97(1):51-62. doi: 10.1007/s00253-012-4533-y. Epub 2012 Nov 9. Appl Microbiol Biotechnol. 2013. PMID: 23138712 Review.
-
MetaComp: comprehensive analysis software for comparative meta-omics including comparative metagenomics.BMC Bioinformatics. 2017 Oct 2;18(1):434. doi: 10.1186/s12859-017-1849-8. BMC Bioinformatics. 2017. PMID: 28969605 Free PMC article.
-
Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.Nat Rev Microbiol. 2015 Jun;13(6):360-72. doi: 10.1038/nrmicro3451. Epub 2015 Apr 27. Nat Rev Microbiol. 2015. PMID: 25915636 Free PMC article. Review.
-
Network analyses in microbiome based on high-throughput multi-omics data.Brief Bioinform. 2021 Mar 22;22(2):1639-1655. doi: 10.1093/bib/bbaa005. Brief Bioinform. 2021. PMID: 32047891 Free PMC article. Review.
-
Molecular ecological tools to decipher the role of our microbial mass in obesity.Benef Microbes. 2015 Mar;6(1):61-81. doi: 10.3920/BM2014.0016. Benef Microbes. 2015. PMID: 24902956 Review.
Cited by
-
Correlating biodegradation kinetics of 2,3,7,8-tetrachlorodibenzo-p-dioxin to the dynamics of microbial communities originating from soil in Vietnam contaminated with herbicides and dioxins.Front Microbiol. 2022 Aug 11;13:923432. doi: 10.3389/fmicb.2022.923432. eCollection 2022. Front Microbiol. 2022. PMID: 36033897 Free PMC article.
-
Improving the odds: Artificial intelligence and the great plate count anomaly.Microb Biotechnol. 2024 Sep;17(9):e70004. doi: 10.1111/1751-7915.70004. Microb Biotechnol. 2024. PMID: 39215402 Free PMC article.
-
Interfacing Machine Learning and Microbial Omics: A Promising Means to Address Environmental Challenges.Front Microbiol. 2022 Apr 25;13:851450. doi: 10.3389/fmicb.2022.851450. eCollection 2022. Front Microbiol. 2022. PMID: 35547145 Free PMC article. Review.
-
Advances in Plant Metabolomics and Its Applications in Stress and Single-Cell Biology.Int J Mol Sci. 2022 Jun 23;23(13):6985. doi: 10.3390/ijms23136985. Int J Mol Sci. 2022. PMID: 35805979 Free PMC article. Review.
-
Multi-Omics Integration for the Design of Novel Therapies and the Identification of Novel Biomarkers.Proteomes. 2023 Oct 20;11(4):34. doi: 10.3390/proteomes11040034. Proteomes. 2023. PMID: 37873876 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources