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Genetic Responses of Listeriamonocytogenes to High PressureProcessing (HPP)
ISOPOL XVI Savannah Georgia March 22 2007
JOHN BOWMAN
CLAUDIO BITTENCOURT
TOM ROSS
Australian Food Safety Centre of Excellence
Private Bag 52
University of Tasmania, Hobart,
Tasmania 7001
High-pressure processing of foods
Currently used as a postlethalitytreatment of many food types especially ready-to-eat meats, vegetable products, juices and various seafood products.
Shown to inactivate rapidly vegetative cells of pathogens(less effective against spores).
The Effect of HPP on Biological Systems
Based on the Le Chatelier principle HPP tends to:
- inhibit processes that result in a net volume increase
- benefit processes that result in a net volume decrease
- therefore biomolecular complexes are altered/damaged by HPP (e.g. ribosomes, DNA helices, septal rings) but small molecules (flavour compounds, vitamins etc.) are unaffected
- biological effect may be counteracted by solutes in food e.g. NaCl, sugars
L. monocytogenes and HPP: Some general findings
- The stationary growth phase state cross-protectsagainst HPP (membrane stabilisation, cell wall thickening etc.)
- Cross-protection effects have been shown to be enhanced inin foods due the presence of various solutes e.g. sea salts, sugars.Probably due to a counteractive effect in regards to macro-molecular stability.
- Inactivated cells may “resuscitate/recover” following storageeven after treatments that cause total inactivation (moredefined experiments needed here).
- Phenolic food additives may cause HPP-sensitisation(mechanism involves cell membrane destabilization?)
L. monocytogenes survival following HPP
0
1
2
3
4
5
6
7
8
9
0 2 4 6 8 10 12 14 16
0.1 MPa - control
400 MPa – stationarygrowth phase
400 MPa – loggrowth phase
600 MPa – log/stationarygrowth phasesV
iabl
e co
unt –
log
cfus
Time (minutes)
Strain 2542, serotype 1/2a from smoked salmon
Project Aims:
•Determine the genetic responses occurring in Listeria monocytogenesfollowing HPP using a genomic microarray approach
•Determine functional changes induced by HPP based on gene expression data
•Identify relevant signalling and regulatoryelements
Custom Microarray for L. monocytogenes(based on strain EGD-e)
•2857 × 70mer oligomers derived from EDG-e genome (OperonTechnologies, Huntsville, AL, USA)•Arrayed by AGRF Ltd., Walter & Eliza Hall Institute of MedicalResearch, University of Melbourne
Caveats:•>98% identity (0-1 mismatches) with 847 genes of L. innocuaClip11262 genome ….however what is the degree of identity theoligos have with genes of other L. monocytogenes strains.
•A comparison was made between two 1/2a serotype strains (EGD-e and smoked salmon strain 2542)
•~97% genes were homologous between the strains as indicated by relative signal intensities
Strain 2542 was tested as it exhibited robust survival followingHPP treatments e.g. 1-3 log reduction at 400 MPa for 5 min Depending on growth phase
•Brain Heart Infusion (BHI) broth cultures log-phase
•Controls: BHI broth atmospheric pressure•Treatments: 400 MPa 5 min (temperature controlled)
L. monocytogenes hydrostatic pressure treatment microarray experiment
L. monocytogenes HPP treatment microarray experiment
HPP treatments cause wide ranging changes in the L. monocytogenes transcriptome:- 472 genes upregulated significantly (p<0.005, FDR)- 503 genes down regulated significantly (p<0.005, FDR)- 400 MPa and 600 MPa (5 min.) treatments correlate- 600 MPa treatments - weaker expression, more variable.
HPP/Gene expression L. monocytogenes
0.01
0.1
1
10
100
0.01 0.1 1 10 100
Fold Change 400 MPa
Fold
Cha
nge
600
MPa R2=0.80
tufB & rpoC expression under HPP (reverse transcriptase PCR)
-4.0
-3.5
-3.0
-2.5
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.00.1 MPa 200 MPa 400 MPa 600 MPa
Gen
e ex
pres
sion
Log
Rat
io
tufB (5 min)rpoC (5 min)tufB (15 min)rpoC (15 min)
R2 = 0.876
-8
-6
-4
-2
0
2
4
6
-8 -6 -4 -2 0 2 4 6 8
Microarray gene expression log2 ratios
QPC
R g
ene
expr
essi
on lo
g2 ra
tio
tufB
rpoC
agrB cspL
ftsE
flaA
ftsZ
uspAinlA
rpiB
pdhD
inlH
gpmA
gadBhly
fri
fus
ssb
rpoErex
ftsI
hupcggR
ccpA
Microarray/ Reverse Trancriptase-PCR comparison
HPP induced differential gene expression organised bygene functional category:
0
10
20
30
40
50
60
70
80
E G D M H N L C P U I F O Q T K J
COG Classification
Num
ber o
f diff
eren
tially
exp
ress
ed g
enes
Increased expression
Reduced expression
HPP induced differential gene expression organised bygene functional category:
0
10
20
30
40
50
60
70
80
E G D M H N L C P U I F O Q T K J
COG Classification
Num
ber o
f diff
eren
tially
exp
ress
ed g
enes
Increased expression
Reduced expressionCarbohydratetransport/metabolism
Energy production/conversion
HPP induced differential gene expression organised bygene functional category:
0
10
20
30
40
50
60
70
80
E G D M H N L C P U I F O Q T K J
COG Classification
Num
ber o
f diff
eren
tially
exp
ress
ed g
enes
Increased expression
Reduced expression
Cell division/chromosomalpartisioning
Cell envelopebiogenesis
Translation/ribosomes
•No obvious directly associated alternative RNAP sigma factor acting as a master regulator.•RNAP Delta Factor (rpoE) upregulated. In Bacillus subtilis shown to modulate RNAP activity, associated with increased transcription specificity (inhibits expression from weak promoters) and increases efficiency of RNA synthesis by enhancing RNAP recycling.
-3.5
-3.0
-2.5
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
Gen
e Ex
pres
sion
Log
Rat
iolmo0895 (sigB/sigma37)lmo0243 (sigH/sigma24)lmo0423 (sigma24)lmo1099 (TN916 sigma24)lmo1454 (rpoD/sigma70)lmo2461 (sigL/sigma54)lmo2560 (rpoE/delta factor)
0
200
400
600
800
1000
1200
1400
lmo0895(sigB/sigma37)
lmo0243(sigH/sigma24)
lmo0423 (sigma24)
lmo1099 (sigma24)
lmo1454(rpoD/sigma70)
lmo2461(sigL/sigma54)
lmo2560 (rpoE/delta factor
Nor
mal
ised
Sig
nal I
nten
sity
Control 400 MPaControl 600 MPa
400 MPa 600 MPa
HPP invokes a number of response regulators including a putativequorum sensory peptide system when exposed to HPP
agrBDCA homologs lmo0048-0051 in L. monocytogenes EGDe are homologousto the accessory gene regulator cluster of Staphylococcus aureus required for exoprotein/toxin
regulation and secretion in S. aureus
Appears important for protein secretion regulation in L. monocytogenes; agr mutants are much less virulent (Autret et al. 2003)
It is possible that agrDB may act as a regulator as it may code a regulatory RNA (as found in S. aureus).
-2
-1
0
1
2
3
4
5
agrD agrB agrC agrA
400 MPa, 5 min600 MPa, 5 min.
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
18000
agrB agrD agrC agrA
Nor
mal
ised
sig
nal i
nten
sity
ControlControl400 MPa, 5 min600 MPa, 5 min
Gen
e ex
pres
sion
Log
ratio
Listeria monocytogenes strongly upregulates certain coldshock protein (csp) genes when treated with HPP
- Shown previously by proteomic analysis (Wemekamp-Kamphuis et al. 2002, Wageningen University)- role as RNA chaperones preventing deleterious secondarystructure formation
-2
-1
0
1
2
3
4
5
6
cspB(lmo2016)
cspL(lmo1364)
cspD(lmo1879) cspR *
(lmo0935)
Gen
e Ex
pres
sion
Log
Rat
io
400 MPa, 5 min600 MPa, 5 min
*spoU classrRNA methylase
Affects on transcription and translation:
HPP causes DNA damageDNA repair genes upregulatedrecU, recN, recQ, recR, dinG, dinP, putative DNA ligase etc.
HPP causes stalling of transcription by dissociation ofthe transcription complexPossibly overcome due to upregulation of antiterminators…. nusA, nusG and rho
HPP disrupts ribosomesIncreased ribosome and tRNA assembly, turnover and stabilisationtRNA – tgt, miaA, truB, rnpARibosomes- DEAD box helicases, a lot of ribosomal proteins
HPP stalls translationPost termination complex dissociation enhanced– fus (EF-G), infC* (IF3), frr
Fatty acid synthesis genes are upregulated- acyl-coenzyme A synthetase (acs) (2 fold increase)- biotin carboxyl carrier (accB) (2 fold increase)- ACP-S-malonyltransferase (fabD) (2-3 fold increase)- β-ketoacyl-acyl carrier protein synthases (fabH) (3-9 fold increase)- acpP (acyl carrier protein) 14-16 fold increase- appears to be linked to increased synthesis of fatty acid iso-15:0
0
2
4
6
8
10
12
14
16
18
20
i14:0 i15:0 i16:0Fatty acid
Com
posi
tion
of to
tal f
atty
aci
ds (%
)
Control450 MPa, 2 min450 MPa, 5 min600 MPa, 2 min600 MPa, 5 min
0
2
4
6
8
10
12
14
16
18
20
i14:0 i15:0 i16:0Fatty acid
Com
posi
tion
of to
tal f
atty
aci
ds (%
)
LOGPHASE
STATIONARYPHASE
Listeria monocytogenes upregulates flagella biosynthesis, chemotaxis, and protein secretion complex
1.Upregulation of flagella biosynthesis and chemotaxis
flaA - flagellin
flgBCGLK – flagella structural proteins
motAB – motor proteins
flhAF, fliDFIMNQ – type III secretion proteins, flagella
biosythesis
cheAMWY – chemotaxis proteins
2. Upregulation of the protein translocation complex
secEGY – protein conducting channel
secDFyajC-yidC homologs – membrane complex
secA (ATPase) - expression unchanged or reduced
1. Most septal ring (Z-ring) proteins are upregulatedftsAEIKLX, amiCftsZ has unchanged expression
2. Proteins involved in septal ring placement, maintenance of cell shape and chromosome segregation
mreB, minC, divIVA homologs (lmo1888, lmo2020); spoVG, homologs (lmo0196, lmo0197); several genes downstream from ftsK; xerCD homologs (lmo1277, lmo1955); gyrAB, typAhomolog – actin (lmo1067)
3. Teichoic acid and peptidoglycan synthesis and crosslinking
dapB, uppS, dacC, mltE, dltCD, glmSU, gtcA, mdoB, wcaA
Maintains/repairs the septal ring when exposed to HPP
Dividing cells
Septal Ring
Conclusions
- Listeria monocytogenes actively expresses many genesas a response to HPP
-At very high pressures and with time expression is diminishedsignificantly
-Overall responses suggest L. monocytogenes copes with HPPby maintenance and stabilisation of biomolecular complexesincluding ribosomes, septal ring, cell wall, protein secretion.
Core Partners
Core Members
Acknowledgements:
Michelle Bull (Food Science Australia)Cindy Stewart (Food Science Australia, now Univ. Chicago)AGRF Ltd.