Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/136537
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Insights into microbial diversity in wastewater treatment systems: How far have we come?

AutorFerrera, Isabel CSIC ORCID; Sánchez, Olga CSIC ORCID
Palabras claveMolecular techniques
Wastewater microbiology
Nitrogen removal
Phosphorus removal
Electrogenic bacteria
Archaea
Bulking
Omics
Fecha de publicaciónsep-2016
EditorElsevier
CitaciónBiotechnology Advances 34(5): 790-802 (2016)
ResumenBiological wastewater treatment processes are based on the exploitation of the concerted activity of microorganisms. Knowledge on the microbial community structure and the links to the changing environmental conditions is therefore crucial for the development and optimization of biological systems by engineers. The advent of molecular techniques occurred in the last decades quickly showed the inadequacy of culture-dependent methodologies to unveil the great level of diversity present in sludge samples. Initially, culture-independent technologies and more recently the application of –omics in wastewater microbiology, have drawn a new view of microbial diversity and function of wastewater treatment systems. This article reviews the current knowledge on the topic placing emphasis on crucial microbial processes carried out in biological wastewater treatment systems driven by specific groups of microbes, such as nitrogen and phosphorus removal bacteria, filamentous and electrogenic microorganisms, as well as Archaea. Despite the recent –omics has offered substantial insights into the diversity and ecophysiology of these bacteria never envisioned before by providing millions of sequence reads at an unprecedented scale, studies based on high-throughput sequencing are still scarce. In order to obtain significant gains in the analysis of structure–function relationships, a greater sequencing investment is needed, particularly to uncover gene expression patterns of functionally relevant genes
Descripción13 pages, 2 figures, 4 tables
Versión del editorhttp://dx.doi.org/10.1016/j.biotechadv.2016.04.003
URIhttp://hdl.handle.net/10261/136537
DOI10.1016/j.biotechadv.2016.04.003
Identificadoresdoi: 10.1016/j.biotechadv.2016.04.003
issn: 0734-9750
e-issn: 1873-1899
Aparece en las colecciones: (ICM) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
Ferrera_et_al_2016_preprint.pdf1,71 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

119
checked on 21-abr-2024

WEB OF SCIENCETM
Citations

100
checked on 28-feb-2024

Page view(s)

278
checked on 24-abr-2024

Download(s)

677
checked on 24-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.