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First published online March 28, 2008
Journal of Experimental Biology 211, 1344-1351 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.012013
CD14 and TLR4 are expressed early in tammar (Macropus eugenii) neonate development
1 Centre for Advanced Technologies in Animal Genetics and Reproduction, Faculty
of Veterinary Science, University of Sydney, NSW 2006, Australia
2 Cooperative Research Centre for Innovative Dairy Products, Australia
3 Department of Zoology, University of Melbourne, Parkville, Victoria 3010,
Australia
4 School of Environmental and Life Sciences, Macquarie University, Ryde, NSW
2109, Australia
* Author for correspondence (e-mail: peter_williamson{at}usyd.edu.au)
Accepted 16 January 2008
| Summary |
|---|
|
|
|---|
. Differential patterns of expression of
CD14 and TLR4 were observed in tammar pouch young early in development,
suggesting that early maturation of the innate immune system in these animals
may have developed as an immune survival strategy to protect the marsupial
neonate from exposure to microbial pathogens.
Key words: marsupial, innate immunity, microbial recognition, toll-like receptors, neonate
| INTRODUCTION |
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|
|---|
Recognition of microbial non-self is a crucial initiating step in immune
defence and surveillance. Of the membrane glycoproteins involved in pathogen
recognition, the Toll-like receptor (TLR) family, molecules that are activated
by the pathogen-associated molecular pattern (PAMP) of many microbes, and the
co-receptor CD14 are essential. The TLR family comprises 11 members in mammals
and all share a characteristic structure that includes a toll/interleukin
receptor (TIR) intracellular domain, which initiates a complex intracellular
signalling cascade that drives production of antimicrobial peptides, reactive
oxygen and nitrogen intermediates, chemokines and pro-inflammatory cytokines
(Akira and Takeda, 2004
;
Azuma, 2006
;
Kaisho and Akira, 2006
). CD14,
a membrane glycoprotein found predominantly on myelomonocytic cells, aids
binding and sensitises TLR4 homodimers to lipopolysaccharide (LPS)
(Fujihara et al., 2003
). CD14
also interacts with TLR2 in binding gram-positive PAMP such as peptidoglycan
and lipoteichoic acid (LTA) (Ellingsen et
al., 2002
; Iwaki et al.,
2005
; Muroi et al.,
2002
). In addition, CD14 may internalise and neutralise endotoxin
(Ahmed-Nejad et al., 2002
;
Poussin et al., 1998
), and it
is involved in the clearance of apoptotic cells
(Tobias, 2003
).
In the present study, primary sequence, expression patterns and response to
stimuli of CD14 and TLR4 from the tammar wallaby (Macropus eugenii)
were characterised. We report that the functional motifs involved in LPS
binding, signalling and homodimerisation of tammar CD14 and the TIR domain of
TLR4 are highly conserved. Challenge of adult tammar leukocytes with LPS and
LTA revealed that these PAMP induce expression of CD14 and TLR4 in a pattern
that coincided with expression of the pro-inflammatory cytokine tumour
necrosis factor-
(TNF-
). We also report the detection and
differential expression of CD14 and TLR4 in the pouch young throughout early
development, a finding that suggests that innate immune defences are active
prior to the maturation of the tammar wallaby immune system.
| MATERIALS AND METHODS |
|---|
|
|
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Culture of tammar leukocytes
Leukocytes were cultured in RPMI media (Invitrogen, Mount Waverly,
Victoria, Australia) with added 10% FCS (fetal calf serum; Invitrogen) at
37°C and 5% CO2. Tammar leukocytes were stimulated with either
LPS or LTA (Sigma-Aldrich). LPS was derived from Escherichia coli and
LTA from Staphylococcus aureus. LPS and LTA were added to tammar
leukocytes at a dose of 5 µg ml–1 of media and cells were
cultured for up to 24 h. Control groups of leukocytes were also cultured for
up to 24 h but with neither stimulant.
Harvesting of RNA and quantitative RT-PCR
RNA was collected from stored samples using an RNeasy RNA extraction kit
(Qiagen, Clifton Hill, Victoria, Australia) and following the manufacturer's
guidelines. The concentration of RNA was measured using an Ultrospec 2000
spectrophotometer (Pharmacia Biotech, Cambridge, UK). RNA was converted to
cDNA for use in quantitative PCR using MMLV reverse transcriptase
(Invitrogen). PCR was performed using a master mix containing Taq DNA
polymerase (Qiagen), primers for CD14 or TLR4
(Table 1) and Sybr green I
(Molecular Probes, Eugene, OR, USA). This was designed to amplify a 109 base
pair fragment from CD14 and a 124 base pair fragment from
TLR4. Tammar glyceraldehyde 3-phosphate dehydrogenase (GAPDH, GenBank
accession number EF654515), 28S rRNA (GenBank accession number EF654517) and
β-actin (GenBank accession number EF654516;
Table 1) were amplified as
housekeeping genes for CD14, TLR4 and TNF-
,
respectively, and their suitability for use was evaluated as described
previously (Livak and Schmittgen,
2001
). Primers were manufactured by Sigma-Genosys (Castle Hill,
NSW, Australia). Quantitative PCR was performed using a Rotogene 6000 (Corbett
Life Science, Mortlake, NSW, Australia). Samples were run in triplicate with
conditions optimised to generate a single product; controls lacking template
were run simultaneously. Melt curves were also performed to assess the
accuracy of the PCR. A 2–
Ct relative expression
analysis method (Livak and Schmittgen,
2001
) was used to evaluate the expression of CD14 and TLR4 in the
target tissues compared with the calibrator samples (i.e. control or
non-lymphoid). Results were analysed by averaging mRNA relative expression
levels in samples over 5 day periods and were graphed accordingly.
|
Isolation, alignment and comparison of sequences
CD14 was isolated from a tammar mammary gland cDNA EST library
(Lefevre et al., 2007
).
CD14 was compared with the M. eugenii WGS database on the
NCBI website with a discontiguous megaBLAST
(http://www.ncbi.nlm.nih.gov/BLAST/tracemb.shtml).
Tammar TLR4 (gnl/ti/1457595886) was isolated from the M.
eugenii trace November 2006 release by tBLASTn. Tammar
TNF-
had been previously characterised (accession number
AF055915). Alignment for phylogeny and pairwise similarities was undertaken on
amino acid sequences, which were deduced using the translate tool on the
ExPASy site
(http://au.expasy.org/tools/dna.html).
Proteins were aligned using the ClustalW
(Thompson et al., 1994
)
program available through BioManager by ANGIS. Pairwise similarities were
calculated on aligned amino acid sequences using the OldDistances (GCG)
program also available through BioManager. Monte Carlo scores for comparisons
between sequences were calculated using PRSS
(Pearson and Lipman, 1988
)
with BLOSUM50 scoring matrix, again available through BioManager. A score of
above 0.1% was considered indicative of a poor alignment and these were
discarded from the results. Kyte–Doolittle hydropathy plots were
generated with GREASE (Pearson and Lipman,
1988
) available through BioManager, using a frame size of nine.
Sequences used in alignments and phylogeny are listed in
Table 2.
|
Phylogenetic analysis
All trees were calculated based on alignments of the entire CD14 sequence
or the TIR domain, in the case of TLR. Sequences for phylogeny were aligned
used ClustalW (Thompson et al.,
1994
) with minor manual corrections. Distance method phylogenetic
trees were constructed using PROTDIST in the PHYLIP package
(Felsenstein, 1989
) available
through BioManager by ANGIS. The neighbour joining method using a Dayhoff PAM
matrix, a George/Hunt/Baker categorisation of amino acids, universal genetic
code and 1000 bootstrap replicates was used. Bootstrap values were calculated
using Seqboot (Felsenstein,
1989
) in BioManager – 75% was taken as the cut off for
bootstrap values; however, branches with lower support than this were accepted
if the division had been determined in previous studies. A maximum parsimony
tree was also calculated using PROTPARS in the PHYLIP package
(Felsenstein, 1989
) in
BioManager with no jumbles, outgroup or parsimony threshold selected.
One-thousand bootstrap values were also calculated in Seqboot for the maximum
parsimony tree. A maximum likelihood tree was drawn using PROTML
(Adachi and Hasegawa, 1996
)
also in BioManager, with a JTT transition model and a quick add OTUS search
strategy.
|
| RESULTS |
|---|
|
|
|---|
|
Multiple alignment and phylogenetic analysis were used to confirm the
subtype classification of TLR4. A multiple alignment of tammar TLR4
(Fig. 2) demonstrated the high
degree of conservation seen in the TIR domain between TLR4 homologues. This
corresponded with the peptide percentage identities, as the tammar TLR4 had
average peptide percentage identities of 84% with other marsupials and 77%
with eutherians. However, lower levels of homology were seen in the
transmembrane and hydrophobic regions of the tammar TLR4 peptide (TM and HR
boxed regions in Fig. 2), with
a proline insertion in the hydrophobic region at position 778, but this region
remained hydrophobic on a Kyte–Doolittle hydropathy plot
(Fig. 3). Residues important in
TLR4 homodimerisation, such as the BB loop (marked 1 on
Fig. 2), were conserved in the
tammar and all other species examined, with the exception of the water
buffalo, which had an Arg726 instead of a glycine. A
Pro725 at the site of the LPSd mutation
(Palsson-McDermott and O'Neill,
2004
), which is crucial in TLR4 homodimerisation, was conserved in
all species, including the tammar. Residues that form a potential protein
interaction site in the DD loop (marked 2 on
Fig. 2) were also extremely
well conserved in most species, including the tammar.
|
|
|
Expression of CD14, TLR4 and TNF-
in adult tammar leukocytes in response to challenge with LPS or LTA
LPS and LTA challenge generated different patterns of expression of CD14
and TLR4 in adult tammar leukocytes (Fig.
5). CD14 expression (Fig.
5A) was increased throughout most of the 24 h of LPS stimulation,
with a peak at 16 h. In comparison, LTA stimulation resulted in lower levels
of CD14 mRNA, with the highest expression around 2 h and 8–16 h,
although only the former resulted in overall increased expression compared
with control samples. TLR4 had a different pattern of expression
(Fig. 5B). LPS-stimulated
leukocytes showed increased TLR4 mRNA expression around 2 h and later at 24 h.
Expression of TLR4 in response to LTA challenge was not different from that of
control tissue (i.e. fold change in TLR4 expression was around one for the
entire 24 h). TNF-
mRNA expression
(Fig. 5C) was increased early
in LPS or LTA challenge (between 1 and 4 h), with levels increasing again
later in the stimulation (16–24 h). TNF-
mRNA levels were higher
in response to LPS than LTA challenge at 16 and 24 h.
Relative expression of CD14 and TLR4 in developing pouch young
CD14 and TLR4 mRNA were detected in all tissues examined. CD14 mRNA
expression was increased relative to controls in most tissues in the first
3–4 weeks (Fig. 6A,B).
CD14 mRNA expression also mildly to moderately increased compared with
controls, in all tissues between 60 and 100 days, with levels decreasing after
this time (Fig. 7A,B). CD14
mRNA in the lung demonstrated sharp peaks of expression around 60 and 90 days
(Fig. 7B). TLR4 mRNA expression
was also moderately elevated, compared with controls, in the first 3–4
weeks in the jejunum, lung, liver and to some extent in the bone marrow and
thymus (Fig. 6C,D). All tissues
had increased expression of TLR4 mRNA at around 70 days relative to controls
(Fig. 7C,D). Elevated levels of
TLR4 mRNA occurred in the bone marrow, cervical thymus, spleen, liver and gut
from 90 to 105 days (Fig.
7C,D).
|
|
| DISCUSSION |
|---|
|
|
|---|
A biphasic expression pattern was noted for CD14 and TLR4 mRNA on challenge
with LPS and was associated with the pro-inflammatory cytokine TNF-
.
These results concur with the role of CD14 and TLR4 in the recognition of LPS,
and the capacity of CD14 to neutralise endotoxin and bind different PAMP
including LTA (Ellingsen et al.,
2002
; Takeuchi et al.,
1999
). This second phase increase of expression may reflect a
feedback effect of other pro-inflammatory genes induced by the PAMP
(Moller et al., 2005
), or by
the early increase in CD14 and TLR4 levels. This is supported by the
TNF-
mRNA expression pattern in response to LPS stimulation. The
induction of TNF-
mRNA by LTA appeared to be correlated with CD14 mRNA
expression but was TLR4 independent in the tammar leukocytes. This finding
correlates with a previous study in human polymorphonuclear leukocytes where
the effect of LTA on cytokine induction was found to be CD14 dependent but TLR
independent (Hattar et al.,
2006
).
Expression of both CD14 and TLR4 was identified in the pouch young in all
tissues examined in the first month of life. At this time, the marsupial
neonate is still developing an immune system and the finding suggests that an
innate defence mechanism may be active at this early stage
(Basden et al., 1997
;
Old and Deane, 2000
). CD14 and
TLR4 had distinct patterns of expression in early pouch life. CD14 mRNA levels
were moderately increased from 60 to 100 days in all tissues. This time period
coincides with the final maturation of organs, such as the spleen, lymph nodes
and liver, and may also reflect a role of tissue macrophages in apoptosis, in
which CD14 itself is known to play a part
(Tobias, 2003
). Increases in
CD14 mRNA levels in the jejunum were severalfold lower than in most other
organs, which may help to maintain low levels of inflammation in normal
intestines as previously suggested in eutherians
(Smith et al., 2001
). While
interstitial cells, secretory cells and sweat glands have been found to be
weakly CD14 positive in the skin and lungs
(Bordessoule et al., 1993
), the
increased expression in these organs seen during days 60–100 in the
present study is more likely to be indicative of tissue macrophages, which
have a much more dense surface expression of CD14.
Most pouch young tissues examined had increased expression of TLR4 mRNA
around 70 days. These increases in the spleen, liver, cervical thymus and bone
marrow in particular may reflect the increasing maturation of the immune
system, as unique sets of TLR are also expressed on adult immune cells
(Azuma, 2006
) and mature
lymphocytes are found in these tissues from 35 days post partum
(Old and Deane, 2003
). These
increases also coincide with increased CD14 expression, further supporting the
view that they may result from maturing immune cells. Inherent TLR expression
on epithelial cells may also contribute to the increased expression in the
skin, jejunum and lung. In the liver, expression of TLR4 mRNA drops sharply
with the cessation of haematopoiesis (at 60 days) but inherent TLR4 expression
(John and Crispe, 2005
) may
account for the much more moderate increase in TLR4 mRNA levels seen between
70 and 90 days. In addition, in the spleen, liver, cervical thymus, bone
marrow and jejunum, TLR4 expression was elevated from 90 until 105 days. This
coincides with the maturation of secondary immune tissues and adaptive immune
responses (Basden et al., 1997
;
Old and Deane, 2000
) and the
start of the switch phase just prior to emergence. Hence, these increases may
represent an immune strategy in preparation for exposure to new pathogens in
the ex marsupium environment.
In summary, this work is the first to evaluate CD14 and TLR4 in any
marsupial species. These important components of PAMP recognition are
fundamental in the initiation and direction of both innate and adaptive immune
responses. The findings of this study have demonstrated a high degree of
conservation of functional motifs in both CD14 and TLR4 and close phylogenetic
relationships with eutherian orthologues. Further, the study has demonstrated
that expression of CD14 and TLR4 increases in adult tammar leukocytes in
response to certain PAMP, and that this correlates with the expression of the
pro-inflammatory cytokine TNF-
. CD14 and TLR4 expression in pouch
young, especially in the first month of life, suggests that innate immunity
has a significant role in the altricial pouch young prior to the development
of a competent adaptive immune system. Early maturation of the innate immune
system may have developed as an immune survival strategy to protect the
marsupial neonate from exposure to microbial pathogens.
| Acknowledgments |
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