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Transcriptional Sensitivity of Southern Ocean Plankton Communities to Changes in Temperature and Micronutrient Availability
Photo: Jeff McQuaid
Andrew AllenErin BertrandJohn McCrowHong ZhengAhmed MoustafaJeff McQuaidSIO and JCVI
David HutchinsKai XuNathan WalworthUSC
Deborah BronkRachel SiplerJenna SpackeenVIMS
Mak SaitoDawn MoranAbigail NobleWHOI
Change and Projected Change in the Ross Sea
Sea Surface Temperature:• Slight negative SST trend over past ~20-30 years; expected to continue 2-3 decades
(Mayewski et al 2009, Comiso et al 2000, Lebedev 2007) • Then expected to warm substantially by the end of the next century (Bracegirdle
and Stephenson, 2012); specific projections difficult (Smith et al 2014)
Iron: • Relative magnitude of sources still unclear
• Shelf sediments, dust, sea ice• Result: change is likely but difficult to predict- direction and magnitude (Smith et al 2012, 2014)
Change is coming: understand diversity and transcriptional baselines, response of existing communities
Photos: Jeff McQuaid, Dawn Moran
Jan Nov
Ice
Diatoms
18S rRNA analysis of Spring and Summer water column and sea ice
McMurdo Sound communities
Alveolata
Chlorophyta
Haptophyta
Saito Lab, WHOIAhmed Moustafa, JCVI, AUC Egypt
Cryptophyta
Dawn Moran, Jeff McQuaid, Greg WangerOpisthokonta10%
1%0.1%
Alphaproteobacteria
Gammaproteobacteria
CFB
Jan Nov
Ice 16S rRNA analysis of Spring and
Summer water column McMurdo
Sound communities
Saito Lab, WHOIAhmed Moustafa, JCVI, AUC Egypt
2 µm
Sea Ice diatom and bacteria(Greg Wanger)
Question: What is the transcriptional response of McMurdo Sound phytoplankton and bacterial communities to changes in temperature, iron, and vitamin B12 availability?
Approach: Manipulative experiments, late summer McMurdo Sound of the Ross Sea, Jan 2013
Photos: Erin Bertrand, Jeff McQuaid
Three types of manipulative experiments• Short term batch- manipulate Fe, B12
• Semicontinuous dilution- manipulate temperature, Fe• Continuous flow- “ecostats”- manipulate temperature, Fe, CO2
McMurdo Sound of the Ross Sea, late austral summer 2012/13
MODIS
Ross Island
16 Jan 2013: Collect 1000 L trace metal clean seawater; return via helicopter to McMurdo
Station, Crary Lab
Fe and B12 Dynamics in the Ross Sea
Bertrand et al 2007, 2011
Pseudonitzchia
Phaeocystis +
Chaetoceros
Pseudonitzchia
Phaeocystis 2 of 4 previous bottle experiments in the Ross Sea showed B12 limitation of phytoplankton growth• secondary to Fe limitation
Function of initial community composition?• Bacterial abundance• Phytoplankton community
Eukaryotic phytoplankton
Cyanobacteria
Heterotrophic bacteria and archaea
MetE
MetH
MetE
MetEMetE
MetH
MetH
MetH
MetH
Photodegradation
B12
Summer
Spring
Short term bioassays: B12 and iron
Bertrand et al in prep
Harvest trace metal clean seawater, return to Crary Lab
Control +B12
+Fe +B12Fe
Incubate 0°C, 24h• RNA samples• Nitrate, bicarbonate
uptake (Bronk Lab)• Chla measure
After 96h, Chla measure
Fill 2.7 L bottles and supplement
Characterize transcriptional response of initial community to micronutrient additions at 0°C• 1 nM FeCl3, 200 pM B12
Photos: Jen Erxleben
96 h24 h
+B12+Fe +B12Fe
*
**
Cont +Fe +B12 +B12Fe
N
O3
- ( m
ol N
L-1
h-1
)
0.0000
0.0002
0.0004
0.0006
0.0008
0.0010
0.0012
0.0014
H
CO
3- (
mo
l C L
-1 h
-1)
0.00
0.05
0.10
0.15
0.20
t=0
Chl
a ( g
L-1
)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
*
*
0 h
Cont
At 24h: Nitrate uptake rate increased in +Fe treatments No change in chlorophyll a or primary productivity
Sequence community RNA after 24 hours rRNA removal to enrich mRNAtarget bacteria and phytoplankton
Bertrand et al in prep
Chlorophyll a at 96h: community was independently B12 and Fe limited
Metatranscriptome analysis pipeline
Sample collection
200-2000 mL filtered onto
0.2 um cartridge filters
RNA extraction
and cleanup plus rRNA removal
Library prep
NuGen cDNA synthesis and Truseq library preparation
Sequencing
Paired end Illumina Hiseq 2000
Read Filtering
Filtering of primers, adapters, rRNA; quality trimming
Assembly
Combined assembly by merging in stages(CLC de novo)
ORF Calling
Prediction of ORFs on assembled contigs and further filtering of rRNA
PhyloDB Annotation
(1)Taxonomy via best blast hit(2) functional domains (PFams/TIGRFams), KEGG, KOG, GO, EC, pathway, transporter and transmembrane domains, organelle assignment
PhyloDB: • 25 million peptide sequences• Does not rely on blast hit for functional annotation• MMETSP transcriptome sequencing included
Targets Bacteria, Archaea, Eukaryotic nuclear and organelle mRNA
Cont ACont B
Cont C Fe AFe B
Fe CB12 A
B12 BB12 C
B12Fe A
B12 Fe B
B12 Fe C
% r
RN
A, %
map
ped
0
20
40
60
80
100
% s
pike
1
0.0
0.2
0.4
0.6
0.8
1.0% mapped% rRNA% spike
Reads ORFSRaw 441,425,648Trimmed 414,698,752Mapped 299,185,770rRNA 21,624,539Assigned 171,783,433 194,173
Eukaryotes 141,024,961 136,144Bacteria 28,424,075 56,031Archaea 214,737 245
Virus 954,416 1096Unknown phylogeny 1,165,244 657
Sequencing and Assembly Summary
82% eukaryotic
16% bacterial
Assigned Reads:
Percent of trimmed reads
Pooled libraries
% of reads assigned to bacteria and archaea
0 10 20 30 40 50 60
Actinobacteria
Bacteroidetes/Chlorobi
Cyanobacteria
Firmicutes
Alphaproteobacteria
Gammaproteobacteria
Betaproteobacteria
Other Bacteria
Archaea Control+Fe+B
12
+B12Fe
B.
Error bars: 1SD, triplicates
% of reads assigned to eukaryotes
0 10 20 30 40 50 60
Pennate Diatom
Centric Diatom
Pelagophyte
Other Stramenopiles
Ciliophora
Dinophyta
Chlorophyta
Streptophyta
Cryptophyta
Haptophyta
Fungi
Metazoa
Other Eukayotes Control+Fe+B12
+B12Fe
A.
Community contributions to mRNA pool
Transcriptome differences reflect changes in gene expression levels within the community, NOT community composition changes
Eukaryotes Bacteria and Archaea
% of diatom reads assigned
0 10 20 30 40 50 60
Fragilariopsis
Pseudo-nitzchia
other pennate
Chaetoceros
Thalassiosira
Coscinodiscophyceae
other centricControl+Fe+B
12
+B12Fe
C.
Error bars: 1SD, triplicates
% of reads assigned to eukaryotes
0 10 20 30 40 50 60
Pennate Diatom
Centric Diatom
Pelagophyte
Other Stramenopiles
Ciliophora
Dinophyta
Chlorophyta
Streptophyta
Cryptophyta
Haptophyta
Fungi
Metazoa
Other Eukayotes Control+Fe+B12
+B12Fe
A.
Community contributions to mRNA pool
Fragilariopsis- dominated diatom community, no significant differences: changes reflect transcriptome responses to micronutrients, not community composition changes
Eukaryotes Diatoms
Transcriptional changes induced by micronutrient additions
Percentage of differentially expressed
ORFs (FDR< 0.05)
0.0 0.2 0.4 0.6 0.8 1.0 1.2
Pennate diatoms
Centric diatoms
Dinophyta
Alphaproteobacteria
Gammaproteobacteria
Bacteroidetes/Chlorobi
Cont vs FeB12 vs B12 FeCont vs B12Fe vs B12Fe
Percentage of reads mapped to diff.
expressed ORFs (FDR< 0.05)
0.0 0.5 1.0 1.5 2.0 2.5
Pennate diatoms
Centric diatoms
Dinophyta
Alphaproteobacteria
Gammaproteobacteria
Bacteroidetes/Chlorobi
Differentially expressed: edgeR pairwise comparisons of triplicate treatments, FDR < 0.05
B12 exhibits strong influence on short term transcriptional response across all three most abundant groups per kingdom
Diatom responses to changes in B12 availability
MetE and CBA1(Bertrand et al 2012, 2013)
High B12 Low B12
Figure: Amy Caracappa-Qubeck, WHOI
MetE
fmol
Met
E p
er
g to
tal p
rote
in0
1
2
3
4
CBA1
+ B12
fmol
CB
A1
per g
tota
l pro
tein
0
2
4
6
8
10
- B12
MetE and CBA1 protein in P. tricornutum cultures
Hypothesized B12- starvation biomarkers from culture work:
(Bertrand et al L and O, 2013)
MetE
log
2(t
rea
tme
nt/co
ntr
ol)
-10
-5
0
5
10
Fe/controlB12/controlB12Fe/control
CBA1
log
2(t
rea
tme
nt/co
ntr
ol)
-6
-4
-2
0
2
4
6 Fe/controlB12/controlB12Fe/Fe
Showing three log 2 fold change values for each ORF annotated as diatom MetE, CBA1 with >50 total reads mapped
MetE and CBA1: repressed by B12 and not driven by iron- confirmed as biomarkers for B12 starvation
Diatom responses to changes in B12 availability
High B12 Low B12
Figure: Amy Caracappa-Qubeck, WHOI
Flavodoxin, clade 2
log2
(tre
atm
ent/c
ontr
ol)
-4
-2
0
2
4 Fe/controlB12/control
ISIP2A
log
2(t
rea
tme
nt/c
on
tro
l)
-4
-2
0
2
4 Fe/controlB12/control
12% of flavodoxin c2 ORFs , 16% of ISIP2A ORFS with > 500 reads assigned:down-regulated (FDR <0.05) by Fe addition
Behavior of known Fe- responsive transcripts
% of reads assigned to bacteria and archaea
0 10 20 30 40 50 60
Actinobacteria
Bacteroidetes/Chlorobi
Cyanobacteria
Firmicutes
Alphaproteobacteria
Gammaproteobacteria
Betaproteobacteria
Other Bacteria
Archaea Control+Fe+B
12
+B12Fe
B.
Dominated by phyla we expect for the season(Ghiglione and Murray 2012; Williams et al 2012; Williams et al 2013; Grzymski et al 2012; Brown et al 2012)
Bacteria and Archaea
PolaribacterAequorivitaUlvibacter sp. SCB49Other CFB
Bacteroidetes: 53% of reads best hit to 4 genomes
SAR 92other AlteromonadalesNeptinibacterother OceanospirillalesOMGMethylophagaother gamma
Gammaproteobacteria: 52% of reads best hit to 7 genomes
SAR11
Rhodobactereaceae
uncultured marine alphas
other alpahs
Alphaproteobacteria: 42% of reads best hit to 10 genomes
Clear documentation of B12- starvation and Fe limitation in diatoms… B12 sources, Fe demand in bacteria?
Uroporphyrinogen-III
cysGHeme and Chla synthesis
Precorrin 2 cbiX(Cobalt) Precorrin 2
cobI/cbiL(Cobalt) Precorrin 3
cobGJ/cbiHG
cobM/cbiF
(Cobalt) Precorrin 4
(Cobalt) Precorrin 5
cobF/cbiD
(Cobalt) Precorrin 6x
cobK/cbiJ
(Cobalt) Precorrin 6y
cobL/cbiET
(Cobalt) Precorrin 8x
cobH/cbiCHydrogenobyrinic acid/Cobyrinic acid
cobB/cbiA
Hydrogenobyrinic acida,c diamide
GammaproteobacteriaAlphaproteobacteria
Bacteroidetes
ORFs detected (≥1) with best blast hits to:
ORFs B12-repressed(FDR≤0.1)
reductase
Cob(I)yrinic acid a,c diamide
cobO/btuRAdenosylcobyrinic acid a,c diamide
cobQ/cbiPAdenosylcobyrinic acid
cobD/cbiB
Adenosylcobinamide
cobU/cobPAdenosyl-GDP-cobinamide
Aminopropanol-2PcobC/D
cobS
DMB + NHN
cobT
α-ribazole
α-ribazole 5P
cobC
Adenosylcobalamin
Transport and uptakebtuBbtuF
btuR
btuR
Cobyrinic acid
Cobinamide
Cobalamin
Cob(II)yrinic acid a,c diamide
cobNST
Transcripts from each enzyme in B12 biosynthesis pathway detected
Pathway modified from Rovionov et al 2003
Down
UpDifferentially expressed Gammaproteobacterial
transcripts
Control +Fe +B12 +B12Fe
Iron- induced
Iron- repressed
Key Iron Induced transcripts• Multiple Bacterioferritins• Recombinases• Sigma factors and kinases
Key Iron repressed transcripts• Multiple TonB-dependent iron
complex, Fe3+ dicitrate receptor domains
Regulated Fe uptake and storage responses: signs of Fe-limitation
differentially expressed: edgeR pairwise comparisons between any treatments FDR< 0.05
MeV hierarchical clustering: genes
Control +Fe +B12 +B12Fe
B12- repressed
B12- /B12Fe induced
Key B12 / B12Fe Induced:• RNA polymerase• multiple pilA• Chaperonins• outer membrane proteins
Key B12 repressed:• B12- transporters and binding
domains• B12- biosynthesis proteins • B12-dependant RNR
Regulated B12 uptake, production, and use
Differentially expressed Gammaproteobacterial
transcriptsdifferentially expressed: edgeR pairwise
comparisons between any treatments FDR< 0.05MeV hierarchical clustering: genes
Down
Up
Bacterial group possibly responsible for B12- production: signs of Fe- limitation
Ross Sea Springtime Bacterial growth independently Fe-limited (Bertrand et al 2011)
Eukaryotic phytoplankton
Cyanobacteria
Heterotrophic bacteria and archaea
MetE
MetH
MetE
MetEMetE
MetH
MetH
MetH
MetH
Photodegradation
B12
Key Iron repressed:Multiple TonB-dependent iron complex, Fe3+ dicitrate receptor domains
Molecular evidence for multiple layers of
micronutrient interactions and starvation
Key B12 repressed:• B12- transporters and
binding domains• B12- biosynthesis proteins • B12-dependant RNR
Gammaproteobacteria
Three types of manipulative experiments• Short term batch- manipulate Fe, B12
• Semicontinuous dilution- manipulate temperature, Fe• Continuous flow- “ecostats”- manipulate temperature, Fe, CO2
McMurdo Sound of the Ross Sea, late austral summer 2012/13
MODIS
Ross Island
16 Jan 2013: Collect 1000 L trace metal clean seawater; return via helicopter to McMurdo
Station, Crary Lab
McMurdo Sound Semicontinuous Experiment
Iron: +/- I nM FeTemperature: 4°C or 0°CTriplicates, outdoor incubationat 15% of ambient light
t=0 same as short term Fe and B12 addition experiment
Dilute at arrows (1:6 to 1:2)
Short term B12 and Fe experiment (t = 0)
Sequence transcriptomes
Days
2 4 6 8 10 12 14 16 18
Ch
l a (
g/L
)
0
5
10
15
20
0 C cont0 C +Fe4 C cont4 C +Fe
Temperature and Iron: strong drivers of
phytoplankton growth
Transcriptomes to assess:• Identity and physiology of major groups responding favorably to temperature increase
• Micronutrient nutritional status and interaction changes
Viruses
Archaea
Bacteria
Eukaryotes nuclear
Chloroplast
Mitochondria
% a
ssig
ned
read
s
0
20
40
60
80
t = 00C, low Fe0C, high Fe4C, low Fe4C, high Fe
McMurdo Sound Semicontinuous Experiment: Community mRNA contributions
High temperature: Eukaryotes make a larger contribution to mRNA pool at the expense of Bacteria
t = 0: all 12 libraries from short term experiment
Pseudo-nitzchia/Nitzchia
Chaetoceros
Fragilariopsis
% O
RF
s S
igni
fican
tly
Diff
eren
t (F
DR
< 0
.05)
0
10
20
30
40
50
4C -Fe vs 0C -Fe4C +Fe vs 0C +Fe+Fe 0C vs -Fe 0C+Fe 4C vs -Fe 4C
Diatom gene expression shifts
EdgeR pairwise comparisons; triplicate treatments
• Temperature has a larger influence than Fe on Pseudo-nitzchia and Chaetoceros gene expression
• Iron is a more important factor for Fragilariopsis gene expression than the other diatoms
• Suggests different sensitivities/ capabilities for handling change
Down
Up
High Fe- induced regardless of temperature
High Fe- Repressed
Fragilariopsis responses to variability in iron
CBA1
Plastocyanin*
Bacteriorhodopsin
Cation transporter
ISIP2A
Lhcf 1, 4, 8
Lhcf 10, 11
Lhcf 5, 12, histones
SAH-ase, Betaine transporter, Lhc 12, ATP-ases
0 -Fe 0 +Fe 4 -Fe 4 +Fe Group- normalized Z- scores for top 100 most abundant Fragilariopsis transcripts (nuclear)differentially expressed in high vs low Fe (EdgeR FDR < 0.05)
Flavodoxin*
High Fe- induced only at high temperature
Diatom B12- starvation indicators
High Fe and temperature appear to enhance B12 limitation in diatoms
Sum
Gro
up
Nor
mal
ized
E
xpre
ssio
n V
alue
0
2000
4000
6000
8000
10000
0C -Fe0C +Fe4C -Fe4C +Fe
CBA1Centric
CBA1Pennate
MetECentric
MetEPennate
Values estimate expression of each ORFs relative to expression of all ORFs from centric or pennate diatoms
EdgeR TMM values, mean of triplicates +/- 1 SD shown.
0 2 4 6 8 10 120
1020304050607080
10 nM B1 + 0 B12
0 B1 + 100 pM B12
10 nM B1 + 100 pM B12
Days
Fluo
resc
ence
Preliminary data, post antibiotic treatment, not axenic
One Pseudo- nitzchia isolate is a confirmed B12 auxotroph
Mixed community, Arrow: MCM Pseudo-nitzchiaImage Credit: Jeff McQuaid
Pseudo-nitzchia dominate at high Fe high temp despite documented B12 limitation• Bacterial partners?• Strain variability?
cells mL-1
0 2000 4000 6000 8000 10000
Chaetoceros sp.
Pseudo-nitzschia sp.
Nitzschia sp.
Fragilariopsis sp.
Undetermined
t = 00C, low Fe0C, high Fe4C, low Fe4C, high Fe
96 h24 h
+B12+Fe +B12Fe
*
**
+Fe +B12 +B12Fet=0
Chl
a ( g
L-1
)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.60 h
ContCont
Days
2 4 6 8 10 12 14 16 18
Ch
l a (
g/L
)
0
5
10
15
20
0 C cont0 C +Fe4 C cont4 C +Fe
Summary- McMurdo Sound Incubation Metatranscriptomics
Short term B12 and Fe experiment• B12 and iron limitation of phytoplankton
growth
• Confirmation of diatom molecular markers for B12 limitation
• Gammaproteobacterial B12 source?
• Interactive micronutrient dynamics: Fe limitation of B12 production and use
Semicontinuous Fe and Temperature experiment
• Strong temperature impact on phytoplankton growth, community composition, and gene expression
Pseudo-nitzchia
• Imbalance in bacterial and phytoplankton response
• Implications for future impact of temperature on micronutrient dynamics
Towards understanding diversity and transcriptional baselines and sensitivities of Antarctic marine microbial communities - three approaches• Cultures• Manipulative experiments• Surveys
• Powerful synergy developing
o Future work: further exploration of temperature and micronutrient interactions in co-cultures and manipulative experiments
o Better and temporally extended microbial surveys: LR-AUV technology with automated microbial sampling platforms
o Influence of temperature on sea ice algae life cycles and viruseso Viruses and domoic acid (DA) producing phytoplankton (HABs)