exguiobacterium cold adaption
TRANSCRIPT
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Debora Frigi Rodrigues
Mentor: Dr. James Tiedje
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Outline
Importance of studying cold-adaptedmicroorganisms
Distribution and diversity of two cold-adaptedgenera on our planet
Characterization and identification of species
from a cold-adapted genus
Architecture of thermal adaptation in cold-adapted species
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Why study cold adapted organisms?
Ecology: nutrient cycling, greenhouse gasproduction and consumption
Biotechnology: industry, foods,bioremediation (new enzymes)
Evolution: microbial life a million years ago
Astrobiology: strategies for life on
cryoplanets; biomarkers for life detection
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Russia &Canada
55%
Cold temperatures on Earth
Alaska 85%
China 20%
l80% of Earths
biosphere is
permanently
cold
l20% of Earths
land is
permafrost
lPermafrost:
Soil, sand,sediment at or
below 0C for 2
or more years
Map provided by NSDIC
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Low temperature environments
~80% ofthe Earths
surface!
Deep Sea T95% of ocean
volume
Glaciers T= 0 to - 40C10% of land surfaceJLM Visuals
Seasonal Ice and Snow
3% of Earths surface 2005 AECOM
Permafrost T= 0 to -14C20% of land surface
Sea Ice T= - 2 to - 35C13% of Earths surface
http://www.noaa.gov/ -
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Kolyma Lowland, Siberia
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Why study the Siberian permafrost?
Cold temperatures, but stable
-10 to -12C
Low water activity
aw = 0.90
Low nutrients
frozen matrix
Radiation
0.03 Mrad/ year for 3 M years
Because of lots of environmental
stresses, such as
Depth
below
ground
Dr. Rivkina
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natural freezer
samples remained frozen
during transport
cores were stored at -20oC
in the labslow rotary drill
no solutions ordrilling mud
permafrost cores remain
frozen and uncontaminated
surface of extracted cores
was trimmed away
cores were divided into
sections and placed in pre-sterilized aluminum cans
Kolyma Lowland, Northeast Eurasia
Cold arid arctic climate
Mean annual air temperature of -14oC
Upper soil layers thaw and freeze
each year
Sampling soil in the permafrost
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Bacterial colonies grown from permafrost
Dr. Hinsa
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Isolates characterized from Arctic permafrost
Soil
oldest Growth
# of isolates age -2.5C
Actinobacteria
Arthrobacter (17) 3m 15:17
Microbacteriaceae (5) 3m 5:5
FirmicutesExiguobacterium (4) 3m 4:4
Planococcus (5) 30k 3:5
Bacteroidetes
Flavobacterium (4) 30k 1:4
Proteobacteria
- Psychrobacter (4) 30k 3:4 - Sphingomonas (2) 3m 2:2
Blue = Gram positive; Red = Gram negative; m= million
years; k= thousand years
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Psychrobacter arcticusPsychrobacter arcticus 273-4273-4
Psychrobactergenus
Gram negative
Gamma Proteobacteria
Predominantly isolated from
cold or salty environments
Shallow and deep marine
water
Sea ice
Salty Foods
Intestine of fish
Grow at temperatures down to
-10oC
Dr. Ponder
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Exiguobacterium genus
Gram-positive
Found in a variety of
environments:
Antarctica, Siberianpermafrost
Alkaline environments
Food processing effluents
Hot springs Defining characteristics of
genus
Peritrichous flagella
Facultatively anaerobic
Exiguobacterium sibiricumExiguobacterium sibiricum 255-15255-15
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Work design
Identification of genes related to
cold and heat acclimation in
Exiguobacterium 255-15
-Genome analysis-Transcriptome analysis
Characterization and Identification
ofExiguobacterium isolates from
Siberian permafrost
- Polyphasic approach
- 54 soil/sediment DNA
extraction from: Michigan, Iowa,Brazil, Puerto Rico, Hawaii,
Siberia and Antarctica-Q-PCR and 16S rRNA clone
libraries-Computational analyses of
Biodiversity
Biogeography, diversity and
abundance ofExiguobacterium
and Psychrobactergenus
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Siberia
Antarctica
Brazil
Puerto RicoHawaii
Iowa and Michigan
Samples for my study
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Quantitative
real-time PCR
with SYBRgreen
The more DNA target, the
more fluorescence is
seen
SYBR green dye attaches
only in double strandDNA and fluoresce.
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1 2 3 4 5 6 7 1 2 3 4 5 61 2 3 4 5 6 7 1 2 3 4 5 6 7
8
1 2 3 4 5 6 7 8 9101121314151618192021222324
Puerto Rico Brazil Michigan Antarctica Siberian permafrostIowa
H
awaii
Samples
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Why patchy distribution?
Environmental factors? pH, salinity, organicmatter, micro and macronutrients
Principal component analysis (PCA):
Look at relationships between variables
Group large data set into small artificial variables
(PC) that will account for most variance in thelarge data set
Goal: Reduce redundancy in those variables =
correlate with one another
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Principal component analysis of the
different samples
C l ti bi l t f h i
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Correlation bi-plot of physico-
chemical and Q-PCR resultsVariables (axes F1 and F2: 76.60 %)
Salinity
Moisture
OM pH
CuCEC
Ca
Mg
K
Exiguobacterium
Psychrobacter
-1
-0.75
-0.5
-0.25
0
0.25
0.5
0.75
1
-1 -0.75 -0.5 -0.25 0 0.25 0.5 0.75 1
F1 (60.81 %)
F2(15.8
0%
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1 2 3 4 5 6 7 1 2 3 4 5 61 2 3 4 5 6 7 1 2 3 4 5 6 7
8
1 2 3 4 5 6 7 8 9101121314151618192021222324
Puerto Rico Brazil Michigan Antarctica Siberian permafrostIowa
H
awaii
Samples
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Samples for clone librariesCave system
LasCarmelitas
Mangrove LasCabezas de San
Juan
KBS Mid-successionalcommunity
Comandante Ferraz marine sediment
Botany point marinesediment
MSU BakerWoodlot
Sites studied forPsychrobacter spp.
Sites studied forExiguobacterium spp.
Cl lib t ti d l i
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Clone library construction and analysisSequence each cloneto identify OTUs(OperationalTaxonomic Unit,i.e.species)
7 OTUs
4 OTUs
2 OTUs
Measure Diversity
Bacterialcommunity
DNA extractionGene of interestamplified by PCR withspecific primer
PCR product
Insert PCR productinto plasmids
Clone the plasmidinto E.colicells
Select cloneswith plasmids
Richness and evenness
Find closest
relative
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Diversity concepts
Richness: number of
species per sample
Evenness: the frequency
of different speciesoccurrence
Community 1 Community 2
4 species
or OTUs
2 species
or OTUs
Community 1 is richerthan community 2
A community dominated by 1 or 2 species is considered to be less diversethan one in which several different species have a similar abundance
Community 1 Community 2
= 1 individual
= 9 individuals= 6 individuals= 3 individuals
= 5 individuals
= 5 individuals
Community 1 has less evenness than
community 2
E.aurantiacum
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Exiguobacterium spp.
clone library results
70%
80%
90%
100%
bu
ndance
C4
D2
D5
G4
C7
B3
H6
E. indicum K22-26
Michigan A04
Exiguobacterium sp. 8N
E.homiense
E.aestuarii strain TF-16
E.lactigenes
Exiguobacterium sp. A1
E.taiwanense
Exiguobacterium sp. India orange
Exiguobacterium sp. M37Exiguobacterium sp. AT4
Exiguobacterium sp. AT1b
Antarctica C04
E.marinum strain TF-80
Antarctica E12
Antarctica D10
Antarctica B08
Antarctica C05a
Antarctica D02
Antarctica B12Antarctica D11
Antarctica G05
E.acetylicum
E.sibiricum strain 255-15
Exiguobacterium sp. strain 5138
Exiguobacterium sp. India Stream
E.sibiricum strain 7-3
Antarctica D05
Puerto Rico E07
Puerto Rico B12E.oxidotolerans
Puerto Rico H06
Puerto Rico G06
E.undae
E.undae strain 190-11
Antarctica G04
Michigan C07
E.antarcticum
Michigan B03
B.subtilis
8090
81
96
56
70
98
72
47
66
91
65
7899
52
51
66
52
64
54
45
57
0.005
P. fozii
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Psychrobacter
spp. clonelibrary results
40%
50%
60%
70%
80%
90%
100%
n
ofOTU
sabun
dance
e
rcentage)
H3a
H2
G10
H10
C9
H11
A12
F7
B4
E12
B3
Michigan H11
P. okhotskensis
P. luti LMG 21276
Puerto Rico G03
Michigan H02
Puerto Rico H02
P. arcticus 273-4
Puerto Rico B03Puerto Rico A07
P. glacialis DD43
P. cryohalolentis K5
Antarctica G10
Michigan E07
Antarctica C07
Antarctica H02
Antarctica E07P. cibarius JG-220
Michigan C02
P. immobilis DSM 7229T
Antarctica H10
Michigan A12
Puerto Rico E12
Michigan F07
Antarctica H03a
Antarctica H03
P. faecalis OS-38
P. pulmonis CECT 5989T
Psychrobacter sp. ikaite
Puerto Rico D03
Michigan C09
Puerto Rico B04
Moraxella atlantae
89
87
98
49
73
74
68
87
76
52
6087
6769
53
46
49
0.01
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Diversity analysis Measuring diversity within a community
Shannon index (H)Shannon index (H)
Accounts for both richness (number of species) and evenness(proportion) of the species. The index increases either byhaving more unique species, or by having a greater speciesevenness. More sensitive for impact ofrare species. Samplingsensitive.
Simpson index (D)Simpson index (D)Accounts for both richness and evenness of the species. D variesfrom 0 to 1. When (D) is close to 0, the diversity is high. Moresensitive for impact ofcommon/abundant species, less for rarespecies. Sampling insensitive.
Chao1 estimatorChao1 estimator
Chao1 index, a nonparametric estimator suitable for microbialdiversity analysis. It estimate the richness of a community.
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Results Diversity
Samples Genus studied Total No ofsequences
No. OfOTUs
ShannonIndex
Chao 1estimator
SimpsonIndex(D)
Ant. Psychrobacter 129 21 2.60 21.43 0.09MI Psychrobacter 150 14 2.22 17.00 0.13
PR Psychrobacter 137 11 1.84 11.50 0.21
Ant. Exiguobacterium 149 7 1.53 7 0.26
MI Exiguobacterium 109 4 0.34 5 0.84
PR Exiguobacterium 135 1 0 1 1
Ant.= Antarctica; MI= Michigan; PR= Puerto Rico
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Conclusions
Exiguobacterium is more widely distributed onour planet, but less diverse thanPsychrobacter
NeitherPsychrobacternorExiguobacteriumare cosmopolitan due to environmentalfactors: salinity, pH and Cu
Both genera seems to preferentially inhabitpolar regions
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Work design
Identification of genes related to
cold and heat acclimation in
Exiguobacterium 255-15
-Genome analysis-Transcriptome analysis
Characterization and Identification
ofExiguobacterium isolates from
Siberian permafrost
- Polyphasic approach
- 54 soil/sediment DNA
extraction from: Michigan, Iowa,Brazil, Puerto Rico, Hawaii,
Siberia and Antarctica-Q-PCR and 16S rRNA clone
libraries-Computational analyses of
Biodiversity
Biogeography, diversity and
abundance ofExiguobacterium
and Psychrobactergenus
E i b t iE i b t i t i f Sib it i f Sib i
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ExiguobacteriumExiguobacterium strains from Siberianstrains from Siberian
permafrostpermafrost
E. sibiricum 7-3
pleiromorphic
rods. Borehole
6Kh-Yu (1989),
8 m
E. undae 190-11
rods. Borehole
5/94 (1994), 5.5 m
E. sibiricum 255-15,
motile short rods.
Borehole 2/94 (1994),
43.6 m
~250miles
Qu
ate
rna
ry
T
ert
iary
Ho
locen
e
Pleisto
ce
ne
P
liocen
e
20-30 tds
200-600 tds
2-3Mi
7-3
190-11
255-15
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Polyphasic approach
* Phenotypic analyses: Chemotaxonomic markers
Metabolic characteristics
FAME Cell morphology at different temperatures
* Genotypic analyses:
rep- PCR DNA- DNA percent similarity
Multi-loci sequence typing
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Summary of phenotypic resultsStrains Peptidoglycan Quinones Polar Lipids Carbon
source
FAMES
255-15
7-3
190-11
E. undae
E. antarcticum
E. acetylicum
E. aurantiacum
A3 L-Lys-Gly MK7 majorMajor:PG,DPG ,PE
The same symbol means very similar/identical traits
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Summary of genotypic clusters
The same symbols means very similar trait or clustered strains
Strains BOX-PCR DNA-DNAsimilarity
16SrRNA
rpoB recA hsp70 gyrB citC
255-15
7-3
190-11 E. undae
E. antarcticum
E. acetylicum
E. aurantiacum
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Conclusions
The permafrost isolate 190-11 (200 K) is
the same species as E. undae DSM 14481T
Type strain is isolated from warmer
environment (Germany)
The permafrost isolates 255-15 (2-3 Mi)
and 7-3 (20-40 K) are the same species
even though they have different cellmorphology
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Work design
Identification of genes related to
cold and heat acclimation in
Exiguobacterium 255-15
-Genome analysis-Transcriptome analysis
Characterization and Identification
ofExiguobacterium isolates from
Siberian permafrost
- Polyphasic approach
- 54 soil/sediment DNA
extraction from: Michigan, Iowa,Brazil, Puerto Rico, Hawaii,
Siberia and Antarctica-Q-PCR and 16S rRNA clone
libraries-Computational analyses of
Biodiversity
Biogeography, diversity and
abundance ofExiguobacterium
and Psychrobactergenus
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Genome analysis on
Exiguobacterium sibiricum 255-15
General features
2.9 Megabase genome
47.8 % GC content
2,978 candidate ORFs
138 Major contigs 65 Minor contigs
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Natalia Ivanova, Lawrence Berkeley National Labs
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E x i g u o b a c t e r i u mb ip h a s ic A r rh e n i
S t ra in 2 5 5 - 1 5
R2
= 0 . 9 8
R2
= 0 . 9 4
-5
-4
-3
-2
-1
0
1
2
3
3 .1 3 .2 3 .3 3 .4 3 .5 3 .6 3 .7
1 0 0 0 / T (oK )
LNg
en/h
r
Exiguobacterium sibiricum
biphasic arrhenius plot
-2.5oC39oC 28oC 10oC
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6 biological
replicates
0.1 O.D.
600 0.3
Experimental design
Dye swaps
TechnicalReplicates:
Indirect labelling
100mL for RNA
extraction
39oC 28oC 10oC -2.5oC
cy3 cy5 cy3 cy5 cy3 cy5 cy3 cy5
6 hybridizations for each comparison
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Direct comparisons of the samples
39oC 28oC
10oC -2.5oC
70 mer probes
Duplicate spots and negative controls: 10 Human and10 Arabidopsis 2931 gene-specific probes 6 group-specific probes for 25 ORFs Data analysis by limma within CarmaWeb environment
Differential expression when P-value < 0.01
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Conclusions
Exiguobacterium is adapted to coldtemperatures: not many differences ingene expression at 4oC, 10oC and 28oC.
Genes believed to be expressed underheat- and cold-shock conditions are also
expressed under continuous growth at thehigher extremity of the arrhenius profileand at subzero temperatures, respectively.
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Take home messages
Microorganisms successful in the poles arenot confined to the poles
Environmental factors affect presence anddiversity of microorganisms
Several molecular and physiologicaladaptations seem to be necessary forsurvival and growth at the higher extremity ofgrowth range as well as at subzero
temperatures
ACKNOWLEGEMENTS
http://images.google.com/imgres?imgurl=http://www.pha.jhu.edu/~france/PICTURES/NASA_logo.GIF&imgrefurl=http://www.pha.jhu.edu/~france/pubs.html&h=782&w=876&sz=73&tbnid=XXCZ_CUU_VofwM:&tbnh=129&tbnw=145&hl=en&start=8&prev=/images%3Fq%3DNASA%2Blogo%26svnum%3D10%26hl%3Den%26lr%3D%26sa%3DN -
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ACKNOWLEGEMENTS
My Committee members:
Dr.Tiedje
Dr.Thomashow
Dr. Kathariou
Dr.Bagdasarian
Dr.Britton
Especial thanks:
Dr. Goris Dr. Ramette Dr. Gilichinsky Dr. Pellizari
Dr. Ivannova Dr. Zhou Dr. He Dr. Gantner
Chia-Ju Lin Ederson Jesus
All tiedje lab My friends
Astrobiology group:
Dr.Ayala-del-Ro Dr. Bergholz
Dr. Bakermans
Dr. Hinsa
http://images.google.com/imgres?imgurl=http://www.pha.jhu.edu/~france/PICTURES/NASA_logo.GIF&imgrefurl=http://www.pha.jhu.edu/~france/pubs.html&h=782&w=876&sz=73&tbnid=XXCZ_CUU_VofwM:&tbnh=129&tbnw=145&hl=en&start=8&prev=/images%3Fq%3DNASA%2Blogo%26svnum%3D10%26hl%3Den%26lr%3D%26sa%3DN