ArticleMicrobial biotechnology2015
Integrated omics for the identification of key functionalities in biological wastewater treatment microbial communities.
Article in Microbial biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A thermophilic chemolithoautotrophic bacterial consortium suggests a mutual relationship between bacteria in extreme oligotrophic environments.Communications biology · 2023Article
- Ecosystem-specific microbiota and microbiome databases in the era of big data.Environmental microbiome · 2022Review
- Current State and Challenges of the Global Outcomes of Dental Caries Research in the Meta-Omics Era.Frontiers in cellular and infection microbiology · 2022Review
- Influence of Extraction Solvent on Nontargeted Metabolomics Analysis of Enrichment Reactor Cultures Performing Enhanced Biological Phosphorus Removal (EBPR).Metabolites · 2021Article
- A multi-omic screening approach for the discovery of thermoactive glycoside hydrolases.Extremophiles : life under extreme conditions · 2021Article
- Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics.Nature microbiology · 2021Article
- Challenges, Strategies, and Perspectives for Reference-Independent Longitudinal Multi-Omic Microbiome Studies.Frontiers in genetics · 2021Article
- Clonal reconstruction from time course genomic sequencing data.BMC genomics · 2019Article
- Inevitable future: space colonization beyond Earth with microbes first.FEMS microbiology ecology · 2019Article
- Sample Preservation and Storage Significantly Impact Taxonomic and Functional Profiles in Metaproteomics Studies of the Human Gut Microbiome.Microorganisms · 2019Article
- Microbial ecology of full-scale wastewater treatment systems in the Polar Arctic Circle: Archaea, Bacteria and Fungi.Scientific reports · 2018Article
- A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.NPJ systems biology and applications · 2018Article
- Linking Microbial Community Structure and Function During the Acidified Anaerobic Digestion of Grass.Frontiers in microbiology · 2018Article
- Metaproteomics-guided selection of targeted enzymes for bioprospecting of mixed microbial communities.Biotechnology for biofuels · 2017Article
- IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses.Genome biology · 2016Article
- Summer holidays as break-point in shaping a tannery sludge microbial community around a stable core microbiota.Scientific reports · 2016Article
- Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis.Evolutionary bioinformatics online · 2016Review
- Metaproteomic analysis of bacterial communities in marine mudflat aquaculture sediment.World journal of microbiology & biotechnology · 2015Article
- Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks.NPJ biofilms and microbiomes · 2015Article
- Primer-free FISH probes from metagenomics/metatranscriptomics data permit the study of uncharacterised taxa in complex microbial communities.NPJ biofilms and microbiomesArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological wastewater treatment plants harbour diverse and complex microbial communities which prominently serve as models for microbial ecology and mixed culture biotechnological processes. Integrated omic analyses (combined metagenomics, metatranscriptomics, metaproteomics and metabolomics) are currently gaining momentum towards providing enhanced understanding of community structure, function and dynamics in situ as well as offering the potential to discover novel biological functionalities within the framework of Eco-Systems Biology. The integration of information from genome to metabolome allows the establishment of associations between genetic potential and final phenotype, a feature not realizable by only considering single 'omes'. Therefore, in our opinion, integrated omics will become the future standard for large-scale characterization of microbial consortia including those underpinning biological wastewater treatment processes. Systematically obtained time and space-resolved omic datasets will allow deconvolution of structure-function relationships by identifying key members and functions. Such knowledge will form the foundation for discovering novel genes on a much larger scale compared with previous efforts. In general, these insights will allow us to optimize microbial biotechnological processes either through better control of mixed culture processes or by use of more efficient enzymes in bioengineering applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.