Transcript City Center

MetaSUB Summit 2016
Shanghai, China
July 1-3, 2016
MetaSUB Shanghai Updates
Sibo Zhu, Anyi Tang, Tao Qing, Wanwan Hou, Lei Zhang, Wei Chen, Ding Bao, Xiaolin Wang,
Yuanting Zheng, and Leming Shi
Center for Pharmacogenomics
Fudan-Zhangjiang Center for Clinical Genomics
Shanghai Big Data Center for Precision Medicine
School of Life Sciences, Fudan University
Shanghai, China
+86-186-1682-7008
[email protected]
City Sampling Day (CSD)
Shanghai Accomplishments
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748 samples were collected
374/376 (99.47%) stations sampled
2 replicates per station
Site: Elevator handrails
Date: June 21, 2016
Time: 9:00 to 19:00
-80oC (<24 hrs post collection)
376 stations
14 lines
Maglev
>600 km
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朱嗣博
唐安怡
陈炜
陈心影
蔺帆
王晓林
温卓
杨竞成
李斌
李冰樱
张蕾
庆涛
商骏
包玎
侯湾湾
任路瑶
Number of Samples
9.569 million trips per day
Time
2
Google Map
Wetland
XJW Station x 4
Town
Center
City
Center
WJC Station x 4
RMGC Station x 4
Pilot Study: 12 Samples
3 stations
4 replicates per station
March 17 & 27, 2016
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Shanghai Pilot Study with 12 Samples
• 3 Stations in Shanghai
• Renminguangchang (RMGC), Wujiaochang (WJC),
and Xinjiangwancheng (XJWC)
• 4 biological replicates per station
• Sample Collection
• COPAN C480 swab
• Handrail of elevators
• March 17 and 27, 2016, 6:00~7:00 p.m.
• DNA Extraction
Sampling
DNA Extraction
• MoBio DNA Extraction Kit
• Library Preparation
• Nextera XT 96 Kit
Library Preparation
• Sequencing
• Illumina X10 Sequencer
• 150 PE
• 60 M reads/sample
DNA Sequencing
• Data Mining
• Diamond Blasting
• Megan LCA Analysis
Data Mining
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DNA Extraction:
Yield/Swab Is Station Dependent
DNA Yield (ng/swab)
18
City Center
16
14
12
Town Center
10
Wetland
(New, less
traffic)
8
6
4
2
0
R1
R2
R3
R4
X1
X2
X3
X4
W1
W2
W3
W4
Swab
Number
MS00101
MS00102
MS00103
MS00104
MS00105
MS00106
MS00107
MS00108
MS00109
MS00110
MS00111
MS00112
Collector
Site
TAY
TAY
TAY
TAY
ZSB
ZSB
ZSB
ZSB
CW
CW
CW
CW
RMGC
RMGC
RMGC
RMGC
XJWC
XJWC
XJWC
XJWC
WJC
WJC
WJC
WJC
Seq
Name
R1
R2
R3
R4
X1
X2
X3
X4
W1
W2
W3
W4
DNA Amount
(ng/swab)
11.5
16.25
9
17
1.74
1.81
1.99
2.07
6.95
3.73
8.2
5.55
DNA yield per swab was much higher in RMGC station (City Center),
the busiest metro station in Shanghai.
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Quality of Libraries
Two libraries from RMGC samples were taken as examples, with a DNA peak
ranging from 300-1,000 bp showing a successful fragmentation with Tn5.
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Quality of Sequencing Data
• Good Q30 per base (>90%)
Read1 of RMGC1
GC Content of RMGC1 R1
• Good Read1/2 Q30 score
• Normal GC distribution
• 60 million reads per sample
Read2 of RMGC1
GC Content of RMGC1 R2
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Data Analysis Pipeline
• Low-quality reads and sequencing adapters were filtered with Trimmomatic (version 0.33).
• High quality reads were aligned to the NCBI nr database using a sequence comparison
program Diamond.
• The resulting data were processed with MEGAN6 to produce an interactive analysis of over
660,000 taxa, including approximately 25,000 prokaryotes, 84,000 animals, 65,000 plants,
and 17,000 viruses.
• The individual species were hierarchically grouped into clades at the levels of:
Superkingdom, Kingdom, Phylum, Class, Order, Family, Genus, and Species.
Raw counts at species,
genus, and class levels were
normalized according to:
A= Log2(CPM+1)
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PCA of 12 Samples
Class
Genus
Species
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Number of Species, Genera and Classes
Detected across 12 Samples
Class
Genus
Species
Metagenome composition (Biodiversity):
City Center < Town Center < Wetland
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Overlap of Top 100 Genera
RMGC
XJWC
WJC
Between two biological replicates: ~70%
Between two stations:
~50%
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Bacteria Dominant Metagenome
RMGC
City Center
WJC
Town Center
XJWC
Wetland
• Bacteria were dominant across all samples.
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Heatmap at Kingdom Level
Viridiplantae
Vitis
Homo
Bos
Cricetulus
Amoeba
Pleosporineae
Leotiomyceta (Penicillin)
Malassezia
Lentivirus
Hepadnaviridae (HBV)
Bacteria Phage and Herpes Virus
RMGC
WJC
XJWC
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Take Home Messages
• 748 samples were collected according to standard protocol on CSD.
• In the pilot study, three stations each with 4 replicates were studied.
• Bacteria were dominant across samples.
• The metagenome from XJWC station was more biodiverse at Class,
Genus and Species levels compared to other stations, with more
plants and fungi detected. This observation appears to be consistent
with the fact that the XJWC station was newly built at a wetland.
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Acknowledgments
1. 朱嗣博
2. 唐安怡
3. 陈炜
4. 陈心影
Anyi TANG
5. 蔺帆
Tao QING
6. 王晓林
7. 温卓
8. 杨竞成
9. 李斌
10.李冰樱
11.张蕾
12.庆涛
13.商骏
14.包玎
15.侯湾湾
Sibo ZHU
Wanwan HOU
16.任路瑶
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