Microbial community shifts in the oxic-settling-anoxic process in response to changes to sludge interchange ratio.
Engineering
Environmental science
Journal
Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560
Informations de publication
Date de publication:
Apr 2019
Apr 2019
Historique:
received:
02
04
2019
accepted:
09
04
2019
entrez:
12
6
2019
pubmed:
12
6
2019
medline:
12
6
2019
Statut:
epublish
Résumé
This particular study set out to demonstrate alterations on the microbial community of the oxic-settling-anaerobic/anoxic (OSA) process treating real domestic wastewater by changing interchange ratios (IRs). The sludge yield of systems operated at different IRs (1/13, 1/17 and 1/20) to assess sludge reduction was used to analyze microbial community composition variations. The highest IR (1/13) resulted in the highest sludge reduction (52.1%), while the OSA systems with IR of 1/17 and 1/20 reduced sludge production by 37.4% and 35.5%, respectively, in comparison to conventional systems. 16S rRNA gene amplicon sequencing analysis showed that the bacterial communities were composed of similar phylogenetic groups,
Identifiants
pubmed: 31183414
doi: 10.1016/j.heliyon.2019.e01517
pii: S2405-8440(19)33398-5
pii: e01517
pmc: PMC6495078
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e01517Références
Int J Syst Bacteriol. 1999 Jul;49 Pt 3:1045-51
pubmed: 10425762
Environ Microbiol. 2000 Aug;2(4):389-98
pubmed: 11234927
Water Res. 2003 Jan;37(1):11-20
pubmed: 12465783
Water Res. 2003 Sep;37(16):3855-66
pubmed: 12909103
Water Res. 2003 Nov;37(18):4453-67
pubmed: 14511716
Biotechnol Adv. 2001 Apr 1;19(2):97-107
pubmed: 14538085
J Bacteriol. 2007 Jul;189(13):4578-86
pubmed: 17483224
Water Environ Res. 2007 Nov;79(12):2380-6
pubmed: 18044354
Int J Syst Evol Microbiol. 2009 Dec;59(Pt 12):3128-35
pubmed: 19643883
J Bacteriol. 2010 May;192(9):2305-14
pubmed: 20207755
Nat Methods. 2010 May;7(5):335-6
pubmed: 20383131
J Microbiol. 2010 Jun;48(3):275-83
pubmed: 20571943
Water Environ Res. 2010 Jun;82(6):519-23
pubmed: 20572459
Water Sci Technol. 2011;63(1):93-9
pubmed: 21245559
Bioinformatics. 2011 Aug 15;27(16):2194-200
pubmed: 21700674
Bioresour Technol. 2011 Nov;102(21):9843-51
pubmed: 21906935
Water Res. 2011 Nov 15;45(18):6021-9
pubmed: 21937073
Bioresour Technol. 2011 Nov;102(22):10352-8
pubmed: 21945207
BMC Bioinformatics. 2011 Sep 30;12:385
pubmed: 21961884
Water Res. 2012 Sep 1;46(13):4292-300
pubmed: 22647901
Bioresour Technol. 2014 Mar;155:395-409
pubmed: 24529987
Bioinformatics. 2014 Aug 1;30(15):2114-20
pubmed: 24695404
Can J Microbiol. 2014 Dec;60(12):799-809
pubmed: 25388228
Environ Technol. 2015 Jan-Feb;36(1-4):137-48
pubmed: 25413108
Bioresour Technol. 2016 Jun;210:167-73
pubmed: 26810193
Can J Microbiol. 2016 May;62(5):411-21
pubmed: 27021584
Bioresour Technol. 2016 Jul;212:280-288
pubmed: 27111873
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
Bioresour Technol. 2016 Oct;218:1187-94
pubmed: 27474952
Bioresour Technol. 2016 Dec;221:588-597
pubmed: 27689352
FEMS Microbiol Ecol. 2017 Jan;93(1):
pubmed: 27798064
Bioresour Technol. 2017 Jun;234:380-388
pubmed: 28343057
Heliyon. 2017 Mar 17;3(3):e00268
pubmed: 28349128
Sci Total Environ. 2017 Dec 31;607-608:558-567
pubmed: 28704678
Bioresour Technol. 2017 Nov;243:1159-1172
pubmed: 28764130
Bioresour Technol. 2018 Feb;249:298-306
pubmed: 29054059
Bioresour Technol. 2018 Feb;249:890-899
pubmed: 29145115
Trends Microbiol. 2018 May;26(5):462-463
pubmed: 29501479
J Environ Manage. 2019 Jun 15;240:303-310
pubmed: 30953983