Literature DB >> 28685416

Can we predict diatoms herbicide sensitivities with phylogeny? Influence of intraspecific and interspecific variability.

Sara M Esteves1,2, François Keck1, Salomé F P Almeida2, Etelvina Figueira3, Agnès Bouchez1, Frédéric Rimet4.   

Abstract

Diatoms are used as indicators of freshwater ecosystems integrity. Developing diatom-based tools to assess impact of herbicide pollution is expected by water managers. But, defining sensitivities of all species to multiple herbicides would be unattainable. The existence of a phylogenetic signal of herbicide sensitivity was shown among diatoms and should enable prediction of new species sensitivity. However, diatoms present a cryptic diversity that may lead to variation in their sensitivity to herbicides that would need to be taken into account. Using bioassays, the sensitivity to four herbicides (Atrazine, Terbutryn, Diuron, Isoproturon) was evaluated for 11 freshwater diatom taxa and intraspecific variability was assessed for two of them (Nitzschia palea and Achnanthidium spp.). Intraspecific variability of herbicide sensitivity was always smaller than interspecific variability, but intraspecific variability was more important in N. palea than in Achnanthidium spp. Indeed, one species showed no intraspecific phylogenetic signal (N. palea) whereas the other did (Achnanthidium spp.). On one hand, species boundaries are not set properly for Achnanthidium spp. which encompass several taxa. On the other hand, there is a higher phenotypic plasticity for N. palea. Finally, a phylogenetic signal of herbicide sensitivity was measured at the interspecific level, opening up prospects for setting up reliable biomonitoring tools based on sensitivity prediction, insofar as species boundaries are correctly defined.

Entities:  

Keywords:  Bacillariophyta; Cryptic diversity; EC50; Ecological assessment; Micropollutant; Species boundaries

Mesh:

Substances:

Year:  2017        PMID: 28685416     DOI: 10.1007/s10646-017-1834-z

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  36 in total

1.  First evidence of the existence of semi-cryptic species and of a phylogeographic structure in the Gomphonema parvulum (Kützing) Kützing complex (Bacillariophyta).

Authors:  Lenaïg Kermarrec; Agnès Bouchez; Frédéric Rimet; Jean-François Humbert
Journal:  Protist       Date:  2013-08-28

2.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

3.  Testing for phylogenetic signal in phenotypic traits: new matrices of phylogenetic proximities.

Authors:  Sandrine Pavoine; Sébastien Ollier; Dominique Pontier; Daniel Chessel
Journal:  Theor Popul Biol       Date:  2007-10-12       Impact factor: 1.570

4.  Linking diatom sensitivity to herbicides to phylogeny: a step forward for biomonitoring?

Authors:  Floriane Larras; François Keck; Bernard Montuelle; Frédéric Rimet; Agnès Bouchez
Journal:  Environ Sci Technol       Date:  2014-01-21       Impact factor: 9.028

5.  An inordinate fondness? The number, distributions, and origins of diatom species.

Authors:  David G Mann; Pieter Vanormelingen
Journal:  J Eukaryot Microbiol       Date:  2013-05-27       Impact factor: 3.346

6.  Variations of periphytic diatom sensitivity to the herbicide diuron and relation to species distribution in a contamination gradient: implications for biomonitoring.

Authors:  Vincent Roubeix; Nicolas Mazzella; Laurie Schouler; Vincent Fauvelle; Soizic Morin; Michel Coste; François Delmas; Christelle Margoum
Journal:  J Environ Monit       Date:  2011-05-05

7.  Comparative analysis of the interaction between habitat and growth form in diatoms.

Authors:  Teofil Nakov; Matt Ashworth; Edward C Theriot
Journal:  ISME J       Date:  2014-07-01       Impact factor: 10.302

8.  Phylogenetic signal in diatom ecology: perspectives for aquatic ecosystems biomonitoring.

Authors:  François Keck; Frédéric Rimet; Alain Franc; Agnés Bouchez
Journal:  Ecol Appl       Date:  2016-04       Impact factor: 4.657

9.  Phylogeny meets ecotoxicology: evolutionary patterns of sensitivity to a common insecticide.

Authors:  John I Hammond; Devin K Jones; Patrick R Stephens; Rick A Relyea
Journal:  Evol Appl       Date:  2012-01-23       Impact factor: 5.183

10.  Using bioassays and species sensitivity distributions to assess herbicide toxicity towards benthic diatoms.

Authors:  Floriane Larras; Agnès Bouchez; Frédéric Rimet; Bernard Montuelle
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

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  1 in total

1.  Correcting for Phylogenetic Autocorrelation in Species Sensitivity Distributions.

Authors:  Dwayne Rj Moore; Colleen D Priest; Nika Galic; Richard A Brain; Sara I Rodney
Journal:  Integr Environ Assess Manag       Date:  2019-11-18       Impact factor: 2.992

  1 in total

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