Literature DB >> 19458653

Can the black box be cracked? The augmentation of microbial ecology by high-resolution, automated sensing technologies.

Ashley Shade1, Cayelan C Carey, Emily Kara, Stefan Bertilsson, Katherine D McMahon, Matthew C Smith.   

Abstract

Automated sensing technologies, 'ASTs,' are tools that can monitor environmental or microbial-related variables at increasingly high temporal resolution. Microbial ecologists are poised to use AST data to couple microbial structure, function and associated environmental observations on temporal scales pertinent to microbial processes. In the context of aquatic microbiology, we discuss three applications of ASTs: windows on the microbial world, adaptive sampling and adaptive management. We challenge microbial ecologists to push AST potential in helping to reveal relationships between microbial structure and function.

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Year:  2009        PMID: 19458653     DOI: 10.1038/ismej.2009.56

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  7 in total

1.  Seasonal Synechococcus and Thaumarchaeal population dynamics examined with high resolution with remote in situ instrumentation.

Authors:  Julie C Robidart; Christina M Preston; Ryan W Paerl; Kendra A Turk; Annika C Mosier; Christopher A Francis; Christopher A Scholin; Jonathan P Zehr
Journal:  ISME J       Date:  2011-10-06       Impact factor: 10.302

2.  Seasonal and episodic lake mixing stimulate differential planktonic bacterial dynamics.

Authors:  Ashley Shade; Chih-Yu Chiu; Katherine D McMahon
Journal:  Microb Ecol       Date:  2009-09-18       Impact factor: 4.552

3.  Differential Responses of the Catalytic Efficiency of Ammonia and Nitrite Oxidation to Changes in Temperature.

Authors:  Anne E Taylor; Brett L Mellbye
Journal:  Front Microbiol       Date:  2022-05-10       Impact factor: 6.064

4.  Individual-level trait diversity predicts phytoplankton community properties better than species richness or evenness.

Authors:  Simone Fontana; Mridul Kanianthara Thomas; Mirela Moldoveanu; Piet Spaak; Francesco Pomati
Journal:  ISME J       Date:  2017-10-03       Impact factor: 11.217

5.  Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment.

Authors:  Michael D Besmer; Jannis Epting; Rebecca M Page; Jürg A Sigrist; Peter Huggenberger; Frederik Hammes
Journal:  Sci Rep       Date:  2016-12-07       Impact factor: 4.379

6.  Multiplexed chemostat system for quantification of biodiversity and ecosystem functioning in anaerobic digestion.

Authors:  Diane Plouchart; Kim Milferstedt; Guillaume Guizard; Eric Latrille; Jérôme Hamelin
Journal:  PLoS One       Date:  2018-03-08       Impact factor: 3.240

7.  Metagenomic analysis of planktonic riverine microbial consortia using nanopore sequencing reveals insight into river microbe taxonomy and function.

Authors:  Kate Reddington; David Eccles; Justin O'Grady; Devin M Drown; Lars Hestbjerg Hansen; Tue Kjærgaard Nielsen; Anne-Lise Ducluzeau; Richard M Leggett; Darren Heavens; Ned Peel; Terrance P Snutch; Anthony Bayega; Spyridon Oikonomopoulos; Ioannis Ragoussis; Thomas Barry; Eric van der Helm; Dino Jolic; Hollian Richardson; Hans Jansen; John R Tyson; Miten Jain; Bonnie L Brown
Journal:  Gigascience       Date:  2020-06-01       Impact factor: 6.524

  7 in total

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