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Membrane biofilm communities in full-scale membrane bioreactors are not randomly assembled and consist of a core microbiome

Item Type Article

Authors Matar, Gerald;Bagchi, Samik;Zhang, Kai;Oerther, Daniel B.;Saikaly, Pascal

Citation Matar GK, Bagchi S, Zhang K, Oerther DB, Saikaly PE (2017) Membrane biofilm communities in full-scale membrane bioreactors are not randomly assembled and consist of a core microbiome. Water Research 123: 124–133. Available: http://

dx.doi.org/10.1016/j.watres.2017.06.052.

Eprint version Post-print

DOI 10.1016/j.watres.2017.06.052

Publisher Elsevier BV

Journal Water Research

Rights NOTICE: this is the author’s version of a work that was accepted for publication in Water Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Water Research, 20 June 2017. DOI: 10.1016/j.watres.2017.06.052. © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

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1

Supporting Information

1 2

Membrane biofilm communities in full-scale membrane bioreactors are not 3

randomly assembled and consist of a core microbiome 4

5

Gerald K. Matara†, Samik Bagchia†, Kai Zhangb, Daniel B. Oertherc, Pascal E. Saikalya, * 6

7

aKing Abdullah University of Science and Technology, Biological and Environmental 8

Sciences and Engineering Division, Water Desalination and Reuse Research Center, 9

Thuwal 23955-6900, Saudi Arabia 10

bBaswood Corporation, Allen, Texas 75013, USA 11

cDepartment of Civil, Architectural, and Environmental Engineering, and Environmental 12

Research Center, Missouri University of Science and Technology, Rolla, Missouri 65409, 13

USA 14

15

*Corresponding author: Pascal E. Saikaly, [email protected]; Tel.: +966–2–

16

808-4903 17

Contributed equally to this work 18

19 20 21

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Table S1 22

Characteristics of the 5 full-scale MBR plants.

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aBOD, biochemical oxygen demand; TKN, total kjeldahl nitrogen; TP, total phosphorous; SRT, solids retention time; HRT, hydraulic 24

retention time; scfm, standard cubic feet per minute.

25

bAir scouring intensity.

26 27 28 29 30 31 32 33 34

Environmental and operational variablesa MBR

plant

Date of sample collection (dd/mm/yyyy)

Influent BOD (mg/L)

Influent TKN (mg/L)

Influent TP (mg/L)

SRT (days)

HRT (hours)

Flow rate (m3/d)

Flux (liters/m2/h)

Airflow (scfm/ft2)b

MBR 1 6/12/2011 250 50 6 22 8.6 1800 19.7 0.04

MBR 2 7/12/2011 200 35.5 8 31 8.4 200 20.9 0.04

MBR 3 8/12/2011 400 120 15 49 27.9 400 19.7 0.04

MBR 4 12/12/2011 700 80 8 15 16.7 1400 22.2 0.04

MBR 5 11/12/2011 300 31 8 29 16.9 1300 18.9 0.03

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3 Table S2

35

Number and percentages of shared genera between samples belonging to the same 36

category (i.e. AS, Early or Mature).

37

Sample (Combined)a

Total number of

classified generab

Number of shared genera

Percentage of shared

genera

Percentage in the total classified sequencesc

AS 214 83 38.79 64.47-83.87

Early 208 63 30.29 74.79-91.87

Mature 222 50 22.52 72.07-89.95

aCombined samples correspond to the five AS, five early biofilm, or five mature biofilm samples collected

38

from the 5 MBRs.

39

bTotal number of classified genera in each category (i.e. AS, Early or Mature).

40

cPercentage of sequences belonging to the shared genera in each sample in the total classified sequences.

41 42

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43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64

Fig. S1. Geographic location of the five full-scale MBRs in the region of Seattle 65

(Washington, U.S.A.).

66 67

MBR 1 MBR 2

MBR 3

MBR 5

MBR 4

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5 68

69

Fig. S2. Principal coordinate analysis (PCoA) of the 15 pooled samples based on Bray- 70

Curtis distance showing the relatedness of the bacterial community structure of AS and 71

biofilm (Early and Mature) samples.

72 73 74

-0.4 -0.2 0 0.2 0.4 0.6

PCO1 (20.9% of total variation) -0.6

-0.4 -0.2 0 0.2 0.4

PCO2 (19.5% of total variation)

Reactor

WWT1 WWT2 WWT3 WWT4 WWT5MBR5 MBR2 MBR3 MBR4 MBR1

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75 76

Fig. S3. Heatmap distribution of bacterial phyla and proteobacterial classes derived from 77

the 15 pooled samples. The color intensity in each cell shows the percentage of phylum 78

and proteobacterial classes in the corresponding sample, referring to the color key at the 79

top left. The numbers from 1 to 5 correspond to the 5 full-scale MBRs.

80 81 82 83 84

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7 87

Fig. S4. Relative abundance of bacteria retrieved from the five MBRs classified at the 88

class level. Bacterial classes that represent <0.1% of the total bacterial community 89

composition were classified as “others”. The numbers 1 to 5 correspond to the five 90

different full-scale MBRs.

91 92

0 20 40 60 80 100

Relative abundance (%)

Others

TM7_genera_incertae_sedis Planctomycetacia

OP10_genera_incertae_sedis OD1_genera_incertae_sedis Gemmatimonadetes Nitrospira

Acidobacteria_Gp6 Acidobacteria_Gp4 Acidobacteria_Gp3 Acidobacteria_Gp16 Actinobacteria Clostridia

Unclassified Chloroflexi Caldilineae

Anaerolineae

Unclassified Bacteroidetes Sphingobacteria Flavobacteria Bacteroidia

Unclassified Proteobacteria Deltaproteobacteria Gammaproteobacteria Betaproteobacteria Alphaproteobacteria

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93

94 95

Fig. S5. Venn diagram showing core and unique OTUs within each biomass category (i.e.

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AS, Early or Mature).

97

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9 98

99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118

Fig. S6. Venn diagram showing the shared and unique OTUs in each MBR.

119 120

Referensi

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Banati 1,4 1Australian Nuclear Science and Technology Organisation ANSTO, New Illawarra Rd, Lucas Heights, NSW, 2234, Australia 2School of Biological, Earth and Environmental

Gonz´ alez∗1 and Paula Moraga2 1,2Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology KAUST, Thuwal 23955-6900,

BTechBiomedical Engineering Electronics And Communication Engineering AICTE BPharmPharmacy Pharmaceutical Sciences PCI BBA Management Studies BCA Information Technology

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Moore, *, 2, 5 Pei-Yuan Qian*, 1 1 KAUST Global Collaborative Research, Division of Life Science, School of Science, Hong Kong University of Science and Technology, Clear Water Bay,

Box 16858-116, Tehran, Iran hEnvironmental Technology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran iDepartment of Environmental Health Engineering,

Mohammed− Advanced Membranes and Porous Materials Center, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of

Magistrettib aBlue Brain Project, École Polytechnique Fédérale de Lausanne EPFL, Geneva CH-1202, Switzerland bBiological and Environmental Sciences and Engineering Division, King