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MiDAS 4: A global catalogue of full-length 16S rRNA gene sequences and taxonomy for studies of bacterial communities in wastewater treatment plants

Dueholm, M. K. D. ; Nierychlo, M.; Andersen, K. S.; Rudkjøbing, V.; Knutsson, S.; Arriaga, S.; Bakke, R.; Boon, N.; Bux, F.; Christensson, M.; Chua, A. S. M.; Curtis, T. P.; Cytryn, E.; Erijman, L.; Etchebehere, C.; Fatta-Kassinos, D.; Frigon, D.; Garcia-Chaves, M. C.; Gu, A. Z.; ... mehr

Abstract:

Microbial communities are responsible for biological wastewater treatment, but our knowledge of their diversity and function is still poor. Here, we sequence more than 5 million high-quality, full-length 16S rRNA gene sequences from 740 wastewater treatment plants (WWTPs) across the world and use the sequences to construct the ‘MiDAS 4’ database. MiDAS 4 is an amplicon sequence variant resolved, full-length 16S rRNA gene reference database with a comprehensive taxonomy from domain to species level for all sequences. We use an independent dataset (269 WWTPs) to show that MiDAS 4, compared to commonly used universal reference databases, provides a better coverage for WWTP bacteria and an improved rate of genus and species level classification. Taking advantage of MiDAS 4, we carry out an amplicon-based, global-scale microbial community profiling of activated sludge plants using two common sets of primers targeting regions of the 16S rRNA gene, revealing how environmental conditions and biogeography shape the activated sludge microbiota. We also identify core and conditionally rare or abundant taxa, encompassing 966 genera and 1530 species that represent approximately 80% and 50% of the accumulated read abundance, respectively. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000147681
Veröffentlicht am 07.06.2022
Originalveröffentlichung
DOI: 10.1038/s41467-022-29438-7
Scopus
Zitationen: 113
Web of Science
Zitationen: 97
Dimensions
Zitationen: 153
Cover der Publikation
Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2022
Sprache Englisch
Identifikator ISSN: 2041-1723
KITopen-ID: 1000147681
Erschienen in Nature Communications
Verlag Nature Research
Band 13
Seiten Art.-Nr.: 1908
Vorab online veröffentlicht am 07.04.2022
Nachgewiesen in Scopus
Dimensions
Web of Science
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