Literature DB >> 31863210

Metabolome response to anthropogenic contamination on microalgae: a review.

Léa Gauthier1, Juliette Tison-Rosebery2, Soizic Morin2, Nicolas Mazzella2.   

Abstract

BACKGROUND: Microalgae play a key role in ecosystems and are widely used in ecological status assessment. Research focusing on such organisms is then well developed and essential. Anyway, approaches for a better comprehension of their metabolome's response towards anthropogenic stressors are only emerging. AIM OF REVIEW: This review presents the biochemical responses of various microalgae species towards several contaminants including metals and chemicals as pesticides or industrial compounds. We aim to provide a comprehensive and up-to-date overview of analytical approaches deciphering anthropogenic contaminants impact on microalgae metabolome dynamics, in order to bring out relevant biochemical markers that could be used for risk assessment. KEY SCIENTIFIC CONCEPTS OF REVIEW: Studies to date on ecotoxicological metabolomics on microalgae are highly heterogeneous in both analytical techniques and resulting metabolite identification. There is a real need for studies using complementary approaches to determine biomarkers usable for ecological risk assessment.

Keywords:  Biofilm; Ecotoxicology; Metabolomics; Stress; Water pollution

Mesh:

Substances:

Year:  2019        PMID: 31863210     DOI: 10.1007/s11306-019-1628-9

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  84 in total

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9.  Widespread copper and lead contamination of household drinking water, New South Wales, Australia.

Authors:  P J Harvey; H K Handley; M P Taylor
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10.  Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae.

Authors:  Tal Luzzatto-Knaan; Neha Garg; Mingxun Wang; Evgenia Glukhov; Yao Peng; Gail Ackermann; Amnon Amir; Brendan M Duggan; Sergey Ryazanov; Lena Gerwick; Rob Knight; Theodore Alexandrov; Nuno Bandeira; William H Gerwick; Pieter C Dorrestein
Journal:  Elife       Date:  2017-05-11       Impact factor: 8.140

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1.  Biomarker Studies in Stress Biology: From the Gene to Population, from the Organism to the Application.

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Journal:  Biology (Basel)       Date:  2021-12-16
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