Literature DB >> 21365200

Phylogenetic signals and ecotoxicological responses: potential implications for aquatic biomonitoring.

Melissa E Carew1, Adam D Miller, Ary A Hoffmann.   

Abstract

Macroinvertebrates can be successfully used as biomonitors of pollutants and environmental health because some groups are sensitive whereas, others are relatively tolerant to pollutants. An issue of ongoing debate is what constitutes an appropriate group for biomonitoring; should the group represent species, genera or higher taxonomic levels? A phylogenetic framework can provide new insights into this issue. By developing phylogenies for chironomids and mayflies, this investigation shows that there is strong phylogenetic signal for pollution responses, and that phylogenetic nodes are common to tolerant and sensitive groups of species. A phylogenetic analysis of biotic indices developed for mayflies based on their response to organic pollution shows that mayfly families varied in pollution tolerance. In contrast, based on sediment zinc concentrations as an indicator of pollution tolerance, Australian chironomids tend to vary in tolerance at lower taxonomic levels. Published data on North American chironomids shows much of the signal for pollution responses is contained within genera rather than sub-families. Tools are now available to distinguish whether this signal reflects historical evolutionary constraints or environmental effects leading to common evolved responses. This suggests that ideally higher taxonomic levels should be used for biomonitoring when there are strong phylogenetic constraints at higher levels. Evolutionary considerations can therefore help to guide the development of macroinvertebrate biomonitors and provide insights into processes that produce sensitive and tolerant taxa. © Springer Science+Business Media, LLC 2011

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Year:  2011        PMID: 21365200     DOI: 10.1007/s10646-011-0615-3

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


  22 in total

1.  Dynamics of metal adaptation in riverine chironomids.

Authors:  Dick Groenendijk; Simone M G Lücker; Marc Plans; Michiel H S Kraak; Wim Admiraal
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2.  Water quality monitoring and aquatic organisms: the importance of species identification.

Authors:  V H Resh; J D Unzicker
Journal:  J Water Pollut Control Fed       Date:  1975-01

3.  Biological identifications through DNA barcodes.

Authors:  Paul D N Hebert; Alina Cywinska; Shelley L Ball; Jeremy R deWaard
Journal:  Proc Biol Sci       Date:  2003-02-07       Impact factor: 5.349

4.  Testing for phylogenetic signal in comparative data: behavioral traits are more labile.

Authors:  Simon P Blomberg; Theodore Garland; Anthony R Ives
Journal:  Evolution       Date:  2003-04       Impact factor: 3.694

5.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

6.  A field-based microcosm method to assess the effects of polluted urban stream sediments on aquatic macroinvertebrates.

Authors:  Vincent Pettigrove; Ary Hoffmann
Journal:  Environ Toxicol Chem       Date:  2005-01       Impact factor: 3.742

7.  A comparative method for studying adaptation to a randomly evolving environment.

Authors:  Thomas F Hansen; Jason Pienaar; Steven Hecht Orzack
Journal:  Evolution       Date:  2008-04-29       Impact factor: 3.694

8.  Ecological specialization and population size in a biodiversity hotspot: how rare species avoid extinction.

Authors:  S E Williams; Y M Williams; J VanDerWal; J L Isaac; L P Shoo; C N Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-06       Impact factor: 11.205

9.  A deficit of detoxification enzymes: pesticide sensitivity and environmental response in the honeybee.

Authors:  C Claudianos; H Ranson; R M Johnson; S Biswas; M A Schuler; M R Berenbaum; R Feyereisen; J G Oakeshott
Journal:  Insect Mol Biol       Date:  2006-10       Impact factor: 3.585

10.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Eric W Sayers
Journal:  Nucleic Acids Res       Date:  2008-10-21       Impact factor: 16.971

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  8 in total

Review 1.  Functional genomics to assess biological responses to marine pollution at physiological and evolutionary timescales: toward a vision of predictive ecotoxicology.

Authors:  Noah M Reid; Andrew Whitehead
Journal:  Brief Funct Genomics       Date:  2015-12-22       Impact factor: 4.241

2.  Mixed phylogenetic signal in fish toxicity data across chemical classes.

Authors:  Andrew Hylton; Ylenia Chiari; Isabella Capellini; Mace G Barron; Scott Glaberman
Journal:  Ecol Appl       Date:  2018-04       Impact factor: 4.657

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

Authors:  Sara M Esteves; François Keck; Salomé F P Almeida; Etelvina Figueira; Agnès Bouchez; Frédéric Rimet
Journal:  Ecotoxicology       Date:  2017-07-06       Impact factor: 2.823

4.  Effects of clothianidin on aquatic communities: Evaluating the impacts of lethal and sublethal exposure to neonicotinoids.

Authors:  Jesse C Miles; Jessica Hua; Maria S Sepulveda; Christian H Krupke; Jason T Hoverman
Journal:  PLoS One       Date:  2017-03-23       Impact factor: 3.240

Review 5.  Freshwater biodiversity and aquatic insect diversification.

Authors:  Klaas-Douwe B Dijkstra; Michael T Monaghan; Steffen U Pauls
Journal:  Annu Rev Entomol       Date:  2013-10-18       Impact factor: 19.686

6.  Sharing and re-use of phylogenetic trees (and associated data) to facilitate synthesis.

Authors:  Arlin Stoltzfus; Brian O'Meara; Jamie Whitacre; Ross Mounce; Emily L Gillespie; Sudhir Kumar; Dan F Rosauer; Rutger A Vos
Journal:  BMC Res Notes       Date:  2012-10-22

7.  Environmental monitoring using next generation sequencing: rapid identification of macroinvertebrate bioindicator species.

Authors:  Melissa E Carew; Vincent J Pettigrove; Leon Metzeling; Ary A Hoffmann
Journal:  Front Zool       Date:  2013-08-07       Impact factor: 3.172

8.  Incorporating evolutionary insights to improve ecotoxicology for freshwater species.

Authors:  Steven P Brady; Jonathan L Richardson; Bethany K Kunz
Journal:  Evol Appl       Date:  2017-11-10       Impact factor: 5.183

  8 in total

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