Literature DB >> 33555362

Metagenomic insights into the effect of sulfate on enhanced biological phosphorus removal.

Norihisa Matsuura1, Yalkhin Masakke2, Smruthi Karthikeyan3, Sui Kanazawa2, Ryo Honda4, Ryoko Yamamoto-Ikemoto4, Konstantinos T Konstantinidis3,5.   

Abstract

Excess phosphorus in water supplies causes eutrophication, which degrades water quality. Hence, the efficient removal of phosphorus from wastewater represents a highly desirable process. Here, we evaluated the effect of sulfate concentration on enhanced biological phosphorus removal (EBPR), in which phosphorus is typically removed under anaerobic-oxic cycles, with sulfate reduction the predominant process in the anaerobic phase. Two sequencing batch EBPR reactors operated under high- (SBR-H) vs. low-sulfate (SBR-L) concentrations for 189 days and under three periods, i.e., start-up, sufficient acetate, and limited acetate. Under acetate-rich conditions, phosphorus removal efficiency was > 90% for both reactors; however, under acetate-limited conditions, only 34% and 91.3% of the phosphorus were removed for the SBR-L and the SBR-H, respectively. Metagenomic sequencing of the reactors showed that the relative abundance of the polyphosphate-accumulating and sulfur-reducing bacteria (SRB) was higher in the SBR-H, consistent with its higher phosphorus removal activity. Ten high-quality metagenome-assembled genomes, including one closely related to the genus Thiothrix disciformis (99.81% average amino acid identity), were recovered and predicted to simultaneously metabolize phosphorus and sulfur by the presence of phosphorus (ppk, ppx, pst, and pit) and sulfur (sul, sox, dsr, sqr, apr, cys, and sat) metabolism marker genes. The omics-based analysis provided a holistic view of the microbial ecosystem in the EBPR process and revealed that SRB and Thiothrix play key roles in the presence of high sulfate.Key points• We observed high phosphorus-removal efficiency in high-sulfate EBPR.• Metagenome-based analysis revealed sulfate-related metabolic mechanisms in EBPR.• SRB and PAOs showed interrelationships in the EBPR-sulfur systems.

Entities:  

Keywords:  Ca. Saccharibacteria (TM7); Enhanced biological phosphorus removal; Metagenomics; Sulfate; Sulfur-reducing bacteria; Thiothrix

Mesh:

Substances:

Year:  2021        PMID: 33555362     DOI: 10.1007/s00253-021-11113-4

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  40 in total

1.  A metagenome of a full-scale microbial community carrying out enhanced biological phosphorus removal.

Authors:  Mads Albertsen; Lea Benedicte Skov Hansen; Aaron Marc Saunders; Per Halkjær Nielsen; Kåre Lehmann Nielsen
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4.  "Dark" Purkinje cells of the cerebellar cortex.

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5.  Recent advances in removing phosphorus from wastewater and its future use as fertilizer (1997-2003).

Authors:  Luz E de-Bashan; Yoav Bashan
Journal:  Water Res       Date:  2004-11       Impact factor: 11.236

6.  BLAST+: architecture and applications.

Authors:  Christiam Camacho; George Coulouris; Vahram Avagyan; Ning Ma; Jason Papadopoulos; Kevin Bealer; Thomas L Madden
Journal:  BMC Bioinformatics       Date:  2009-12-15       Impact factor: 3.169

7.  Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes.

Authors:  Mads Albertsen; Philip Hugenholtz; Adam Skarshewski; Kåre L Nielsen; Gene W Tyson; Per H Nielsen
Journal:  Nat Biotechnol       Date:  2013-05-26       Impact factor: 54.908

8.  Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms.

Authors:  J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; James Huntley; Noah Fierer; Sarah M Owens; Jason Betley; Louise Fraser; Markus Bauer; Niall Gormley; Jack A Gilbert; Geoff Smith; Rob Knight
Journal:  ISME J       Date:  2012-03-08       Impact factor: 10.302

9.  SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data.

Authors:  Murray P Cox; Daniel A Peterson; Patrick J Biggs
Journal:  BMC Bioinformatics       Date:  2010-09-27       Impact factor: 3.169

10.  RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes.

Authors:  Thomas Brettin; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Gary J Olsen; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Maulik Shukla; James A Thomason; Rick Stevens; Veronika Vonstein; Alice R Wattam; Fangfang Xia
Journal:  Sci Rep       Date:  2015-02-10       Impact factor: 4.379

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