Laura Bergner Richard Orton, Daniel Streicker...Laura Bergner Richard Orton, Daniel Streicker Bats...
Transcript of Laura Bergner Richard Orton, Daniel Streicker...Laura Bergner Richard Orton, Daniel Streicker Bats...
11/29/2016
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Laura Bergner
Richard Orton, Daniel Streicker
Bats and viruses
• Reservoir of many emerging infectious diseases
– Influenza, rabies, SARS
• Host over 200 viruses in 27 viral families
Luis et al. 2015
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Viral diversity in bats
• What viruses are present in bats?
• How is the diversity of bat viruses distributed
geographically and across species?
• What are the ecological and anthropogenic factors
influencing viral diversity in bats?
Studying viruses in bats
• Methods for detecting viruses
– Culture
– Serology
– PCR (polymerase chain reaction)
• Only for specific taxa that have
been previously characterized
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Genomic techniques for studying viral
diversity
• Metagenomics
– Sequence-based characterization of taxa in an
environmental or host sample
– “Virome”
• Illumina sequencing
– Massively parallel – millions of sequences per run
– Shotgun sequencing
Genomic techniques for studying viral
diversity
• Advantages
– Viral discovery
– Less biased than other methods
– Possible data on diet, parasites, bacteria, host
genetics?
• Disadvantages
– Many sequences thrown away
– Dark matter
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Bat viromes
• Insectivorous bats – mostly dietary plant and
insect viruses
• Frugivorous bats – new mammalian viruses
Donaldson et al. 2010 Baker et al. 2013
Bat viromes
• 40 bat species from different ecological
regions across China
Wu et al. 2016
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Why are vampire bats (Desmodus
rotundus) interesting?
Wray et al. 2016
Objectives and expectations
1. Characterize viral diversity in D. rotundus using
metagenomics
2. Investigate ecological and anthropogenic factors influencing
viral diversity in D. rotundus
• Known viruses in D. rotundus: rabies virus, paramyxovirus,
coronavirus, polyomavirus, adenovirus
• Known in other Neotropical bat species: influenza virus
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Study sites
−16
−12
−8
−4
−80 −76 −72 −68
Department
Amazonas
Apurimac
Ayacucho
Cajamarca
Cusco
Huanuco
Lima
Loreto
Sampling D. rotundus
• Trap bats at known colonies
• Saliva, fecal, whole blood swabs from up
to 30 bats per site
• Urine swabs from individuals as possible
• Pooled urine samples from some sites
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Laboratory pipeline
Illumina sequence data
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Viral metagenomic
raw reads
Remove vampire
bat reads
Remove other eukaryote
and prokaryote reads
Remove low quality, low
complexity, duplicate reads
Cleaned reads
Bioinformatic pipeline
Cleaning reads - NextSeq
Step
Raw reads
Trim galore
Prinseq
Vampire bat
PhiX
Ribopicker
Cleaned reads
2.0e+07
1.5e+07
1.0e+07
5.0e+06
0
Re
ad
s
H_EN_RL H_EN_VTM H_UN_VTM SV_EN_RL SV_EN_VTM SV_UN_RL
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Cleaning reads - MiSeq
4e+06
3e+06
2e+06
1e+06
0
Re
ad
s
H1 H2 H3 H4 SG1 SV1 SV2 SV3
Viral metagenomic
raw reads
Classify
reads/contigs
Assembly
Remove vampire
bat reads
Remove other eukaryote
and prokaryote reads
Predict ORFs
Remove low quality, low
complexity, duplicate reads
Cleaned reads
Bioinformatic pipeline
Visualize taxa Compare samples
H_EN_VTM
H_EN_RL
H_UN_VTM
SV_EN_RL
SV_EN_VTM
SV_UN_RLPodoviridae
Siphovir idae
Adenoviridae
PCoA of Taxonomy us ing Hellinger : PC 1 (66.3%) vs PC 2 (18.8%)
-1-2-3-4-5-6 PC1 1 2 3 4 5 6
-0.5
-1
PC2
0.5
1
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Total sequencing reads
Viruses 0.3 %
Diet?
Parasites?
Microbiome?
Pilot run questions
• In what buffer should we collect metagenomic
samples in the field?
(VTM or RNALater?)
• Will VTM work for vampire bat samples?
– Fetal bovine serum (FBS) may contain cow viruses
• Can we extract samples to enrich for viruses
relative to other taxa?
• What viruses do we find?
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Pilot run design
Sample type
Fecal swab
Saliva swab
VTM RNALater
Unenriched
H_UN_VTM
SV_UN_VTM
H_UN_RL
SV_UN_RL
EnrichedEnriched
H_EN_VTM
SV_EN_VTM
H_EN_RL
SV_EN_RL
Same sample, reads vs contigs
Reads Contigs
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Fecal swabs – same individuals,
different storage medium
VTM RNALater
Diverse viruses in FBS
Bovine viral diarrhea virus – a common cell culture contaminant
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Viruses inconsistent between sample
types, buffer, extraction method
Bacteriophages
Sample (non)clustering based on viral
diversity-1
-0.5
PC2
0.5
1
-6 -5 -4 -3 -2 -1 PC1 1 2 3 4 5
6
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Sample type clustering based on viral
diversity-0.02
-0.01
PC2
0.01
0.02
-0.5 PC1 0.5 1
A few viruses in Peruvian vampire bats
(so far…)
• Bat hepevirus – 2 sites
• Circovirus – 2 sites
• Bat mastadenovirus
• Bat adeno-associated virus
• Bat anellovirus
• Herpesvirus – all sites, saliva
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Summary
• Metagenomic sequencing method works but
inconsistent viruses detected between buffers
and enrichment methods
• Bacteriophages predominate
• Possibly due to pooled samples and low viral
load
• FBS viruses are present but consistent, so we
can exclude them from VTM samples
Future plans
• Exclude bacteriophages
• More optimization needed for
extraction/pooling
• Replicates
• Process samples by colony for larger set of
sites across Peru
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Thank you!Peru
Carlos Tello
Jorge Carrera
Anthony Almeyda
Francisco Espinosa
Dan Becker
Glasgow
Roman Biek
Julio Benavides
John Claxton
Chris Davis
Gavin Wilkie
Ana Filipe
Kath Allan
William Marciel
Alice Broos
Pablo Murcia
Diverse viruses in FBS
BVDV
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Adenoviridae
Myoviridae
Podoviridae
Siphoviridae
unclassified Caudovirales
Caudovirales
Herpesviridae
Papillomaviridae
unclassified dsDNA phages
unclassified dsDNA viruses
dsDNA viruses, no RNA stage
Retroviridae
Anelloviridae
Circoviridae
Parvoviridae
ssDNA viruses
Flaviviridae
Picornaviridae
unclassified Picornavirales
Picornavirales
Tombusviridae
ssRNA positive-strand viruses, no DNA stage
Viruses
root
Legend:
H1 H2 H3 H4 SG1 SV1 SV2 SV3
Viral families in similarly treated
samples