ReviewComputational and structural biotechnology journal2020
Microbial high throughput phenomics: The potential of an irreplaceable omics.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Novel imaging approaches for visualizing root-mycorrhizal fungal interactions.Journal of experimental botany · 2026Review
- Respiration and Substrate Utilization by Marine Fungi: Their Ecological Role in an Upwelling Ecosystem.Mycobiology · 2026Article
- Antibiotic resistance inFrontiers in microbiology · 2026Review
- The Role of Phenotypic Plasticity and Within-Environment Trait Variability in the Assembly of the Nectar Microbiome and Plant-Microbe-Animal Interactions.Ecology and evolution · 2025Review
- Comparison of Culture-Dependent and Culture-Independent Methods for Routine Identification of Airborne Microorganisms in Speleotherapeutic Caves.Microorganisms · 2024Article
- Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations.Communications biology · 2024Article
- Article
- Article
- EVI2B Is a Prognostic Biomarker and Is Correlated with Monocyte and Macrophage Infiltration in Osteosarcoma Based on an Integrative Analysis.Biomolecules · 2023Article
- Microbial-Based Products to Control Soil-Borne Pathogens: Methods to Improve Efficacy and to Assess Impacts on Microbiome.Microorganisms · 2023Review
- Nutritional Niches of Cancer Therapy-Induced Senescent Cells.Nutrients · 2022Article
- Evolving Perspective on the Origin and Diversification of Cellular Life and the Virosphere.Genome biology and evolution · 2022Review
- How water-soluble saccharides drive the metabolism of lactic acid bacteria during fermentation of brewers' spent grain.Microbial biotechnology · 2022Article
- Contribution of omics to biopreservation: Toward food microbiome engineering.Frontiers in microbiology · 2022Review
- Missing Links Between Gene Function and Physiology in Genomics.Frontiers in physiology · 2022Article
- Phenotype Switching in Metal-Tolerant Bacteria Isolated from a Hyperaccumulator Plant.Biology · 2021Article
- Role of Lactic Acid Bacteria Phospho-β-Glucosidases during the Fermentation of Cereal by-Products.Foods (Basel, Switzerland) · 2021Article
- Defining the wheat microbiome: Towards microbiome-facilitated crop production.Computational and structural biotechnology journal · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The phenotype-genotype landscape is a projection coming from detailed phenotypic and genotypic data under environmental pressure. Although phenome of microbes or microbial consortia mirrors the functional expression of a genome or set of genomes, metabolic traits rely on the phenotype. Phenomics has the potential to revolution functional genomics. In this review, we discuss why and how phenomics was developed. We described how phenomics may extend our understanding of the assembly of microbial consortia and their functionality, and then we outlined the novel applications within the study of phenomes using Omnilog platform together with a revision of its current application to study lactic acid bacteria (LAB) metabolic traits during food processing. LAB were proposed as a suitable model system to analyze and discuss the implementation and exploitation of this emerging omics approach. We introduced the 'phenotype switching', as a new phenotype microarray approach to get insights in bacterial physiology. An overview of methodologies and tools to manage and analyze the generated data was provided. Finally, pro and cons of pipelines developed so far, including the most innovative ones were critically analyzed. We propose an R pipeline, recently deposited, which allows to automatically analyze Omnilog data integrating the latest approaches and implementing the new concepts described here.
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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.