Microbiome-Aware Ecotoxicology of Organisms
Relevance, Pitfalls, and Challenges
Bibliographic Data
| ID | 22068929 |
|---|---|
| Authors | Sébastien Duperron (0000-0002-6422-6821, Institut Universitaire de France, corresponding author), Sébastien Halary (0000-0002-7089-9459, Centre National de la Recherche Scientifique), Alison Gallet (0000-0001-9579-0823, Musée National d'Histoire Naturelle), Benjamin Marie (0000-0001-9880-5541, Molécules de Communication et Adaptation des Micro-organismes) |
| Year | 2020 |
| Volume | 8 |
| Pages | 407-407 |
| Publication date | 2020-08-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2020.00407 |
| PMID | 32974256 |
| OpenAlex | W3048153144 |
| Language | EN |
| Citations received | 1 |
| References cited | 84 |
Over the last 15 years, the advent of high-throughput "omics" techniques has revealed the multiple roles and interactions occurring among hosts, their microbial partners and their environment. This microbiome revolution has radically changed our views of biology, evolution, and individuality. Sitting at the interface between a host and its environment, the microbiome is a relevant yet understudied compartment for ecotoxicology research. Various recent works confirm that the microbiome reacts to and interacts with contaminants, with consequences for hosts and ecosystems. In this paper, we thus advocate for the development of a "microbiome-aware ecotoxicology" of organisms. We emphasize its relevance and discuss important conceptual and technical pitfalls associated with study design and interpretation. We identify topics such as functionality, quantification, temporality, resilience, interactions, and prediction as major challenges and promising venues for microbiome research applied to ecotoxicology
Bioinformatics · Biology · Computational biology · Data science · Ecotoxicology · Microbiome · Cell Image Analysis Techniques · Computer Science · Gut microbiota and health · Metabolomics and Mass Spectrometry Studies · Ecology
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |