Journal Article

MiDAS 2.0: an ecosystem-specific taxonomy and online database for the organisms of wastewater treatment systems expanded for anaerobic digester groups

Simon Jon McIlroy, Rasmus Hansen Kirkegaard, Bianca McIlroy, Marta Nierychlo, Jannie Munk Kristensen, Søren Michael Karst, Mads Albertsen and Per Halkjær Nielsen

in Database

Volume 2017, issue
Published online March 2017 | e-ISSN: 1758-0463 | DOI: https://dx.doi.org/10.1093/database/bax016

More Like This

Show all results sharing these subjects:

  • Bioinformatics and Computational Biology
  • Ecology and Conservation
  • Evolutionary Biology

GO

Show Summary Details

Preview

Abstract

Wastewater is increasingly viewed as a resource, with anaerobic digester technology being routinely implemented for biogas production. Characterising the microbial communities involved in wastewater treatment facilities and their anaerobic digesters is considered key to their optimal design and operation. Amplicon sequencing of the 16S rRNA gene allows high-throughput monitoring of these systems. The MiDAS field guide is a public resource providing amplicon sequencing protocols and an ecosystem-specific taxonomic database optimized for use with wastewater treatment facility samples. The curated taxonomy endeavours to provide a genus-level-classification for abundant phylotypes and the online field guide links this identity to published information regarding their ecology, function and distribution. This article describes the expansion of the database resources to cover the organisms of the anaerobic digester systems fed primary sludge and surplus activated sludge. The updated database includes descriptions of the abundant genus-level-taxa in influent wastewater, activated sludge and anaerobic digesters. Abundance information is also included to allow assessment of the role of emigration in the ecology of each phylotype. MiDAS is intended as a collaborative resource for the progression of research into the ecology of wastewater treatment, by providing a public repository for knowledge that is accessible to all interested in these biotechnologically important systems.

Database URL: http://www.midasfieldguide.org

Journal Article.  2884 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology ; Ecology and Conservation ; Evolutionary Biology

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content. subscribe or purchase to access all content.