exguiobacterium cold adaption

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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