Download Differences in DNA methylation patterns between humans and

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

RNA-Seq wikipedia , lookup

Deoxyribozyme wikipedia , lookup

Genome evolution wikipedia , lookup

Silencer (genetics) wikipedia , lookup

Cre-Lox recombination wikipedia , lookup

Non-coding DNA wikipedia , lookup

Epitranscriptome wikipedia , lookup

Community fingerprinting wikipedia , lookup

Genomic imprinting wikipedia , lookup

Molecular evolution wikipedia , lookup

Endogenous retrovirus wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

Secreted frizzled-related protein 1 wikipedia , lookup

Promoter (genetics) wikipedia , lookup

Transcript
Magazine
R148
Correspondence
Differences in
DNA methylation
patterns between
humans and
chimpanzees
Wolfgang Enard1,3*, Anne
Fassbender2,3, Fabian Model2,
Péter Adorján2, Svante Pääbo1
and Alexander Olek2
Methylation at CpG dinucleotides
is important for gene regulation in
mammals [1]. However, it is
unknown how methylation
patterns change during evolution.
Here, we compare methylation
patterns between humans and
chimpanzees at 36 genes in the
brain, the liver and in
lymphocytes. We find that the
extent of the change in
methylation pattern is much more
extensive in the brain than in the
other tissues. Furthermore, of the
15 CpGs that have significantly
changed methylation in the brain,
14 are more methylated in
humans than in chimpanzees.
This indicates that CpGs might
generally be more methylated in
human brains than in chimpanzee
brains.
Despite considerable
phenotypic differences, humans
and their closest living relatives,
the chimpanzees, are on average
98.8% identical in their alignable
genomic DNA sequences [2,3]. It
is currently unknown which
genotypic differences are
responsible for the phenotypic
differences. One possibility to
tackle this question is to compare
gene expression patterns
between humans and
chimpanzees using functional
genomic approaches [4–6]. In this
respect, it may also be useful to
compare methylation patterns in
regulatory DNA sequences, as the
methylation status can be viewed
as a “footprint” of the chromatin
structures that are crucial for
gene regulation [7,8]. In order to
take a first step toward
understanding the evolution of
methylation patterns, we
compared the methylation status
of 145 CpGs in the presumed
regulatory regions of 36 different
genes between humans and
chimpanzees in brain, liver and
lymphocytes using a recently
developed array technique [9–11].
Thereby, genomic DNA is treated
with sodium bisulphite such that
unmethylated CpGs are amplified
as TpGs in the following PCR. For
each CpG examined, the arrays
contain two oligonucleotides: one
complementary to a TpG,
resembling a formerly
unmethylated CpG and one
complementary to a CpG,
resembling a formerly methylated
CpG.
We identified 22 CpGs in which
the ratio of the intensities of these
two oligonucleotides differed
significantly between human and
chimpanzee in at least one tissue.
By contrast, zero to three
differences would be expected
due to random experimental and
biological variation, as is shown
by permutating the species labels
for each tissue (see supplemental
data for all methodological
details). Therefore, the differences
between the two species are
highly significant, whereas the
differences between the
individuals of the same species
are within the range of the
experimental error (data not
shown). We also do not observe a
strong correlation of methylation
levels with age or time post
mortem (see supplemental data),
Thus, we conclude that most of
the observed methylation
differences between humans and
chimpanzees are neither due to
random measurement errors nor
due to random or systematic
differences in their environment.
To exclude trivial genetic
causes, we sequenced the region
of the 22 CpG sites in the
chimpanzee and excluded 4 CpGs
that carried a sequence difference
between the chimpanzee
sequence and the human-based
oligonucleotide sequence. The
remaining 18 CpGs from 12 genes
are shown in Figure 1.
Three observations from these
experiments are especially
noteworthy: First, despite the
limited number of CpGs studied,
several significant differences in
their methylation status can be
found between humans and
chimpanzees. Second, out of 18
differences, 15 are found between
chimpanzee and human brain,
whereas only six are found
between the other two tissues.
Third, 14 of the 15 sites differing
in methylation in the brain show a
higher degree of methylation in
humans.
The first observation indicates
that — at least in humans and
chimpanzees — the methylation
status of many CpG sites changes
during the course of evolution.
The second observation indicates
that more CpG sites have
changed their methylation status
in the brain than in liver or
lymphocytes. Notably, DNA
methylation seems to be
especially important for the brain,
as defects in methylation lead to
mental retardation in humans [8]
and a mouse model for one of
these diseases — Rett syndrome
— indicates that the symptoms
can be caused solely by a defect
in postmitotic neurons [12,13].
Our third observation, namely that
14 of 15 CpG sites differently
methylated in the brain show a
higher degree of methylation in
humans, might reflect a general
up-methylation of genes in the
human brain, rather than several
independent, gene-specific
methylation changes. Although it
is unclear at this point whether
this up-methylation directly
translates into observable
changes in gene expression
(supplemental data), it is tempting
to speculate that such an upmethylation was important for the
evolution of the human brain.
However, we cannot exclude that
a general tendency towards a
lower degree of methylation
occurred on the chimpanzee
lineage. It is furthermore unclear if
the change in methylation
patterns is especially pronounced
in the human brain or if a rapid
change in methylation patterns is
typical of brain evolution in many
mammals. Further work has to
clarify these issues.
Supplemental Data
Supplemental data containing
experimental procedures are
Magazine
R149
Liver
Humans
Chimpanzees
Humans
6m
6m
12m
12m
18f
25f
47m
48m
56m
69m
74f
85m
1m
6m
12m
12m
34m
36f
59f
27f
29f
49m
unkn.
unkn.
Chimpanzees
Brain
C4B_3
CD63_4
MYCN_2
BAT1_2
MYCL1_3
UBC_1
MYCL1_2
HLA-F_4
ABL1_4
SLC25A4_3
CDC25A_2
MYCN_3
EGFR_3
ABL1_2
CD63_2
MYC_8
POMC_2
GP1BB_1
GP1BB_2
SLC25A4_1
DAD1_1
LTA_2
MYCL1_3
DBCCR1_3
UNG_3
CTLA4_4
UBC_2
EGFR_4
MYCL1_2
LTA_1
GP1BB_2
CDC25A_1
UBC_3
POMC_3
EGR4_4
SLC25A4_1
GP1BB_4
CD63_4
SLC25A4_3
GP1BB_3
5.
6.
Lymphocytes
Humans
3f
4m
9m
10f
10f
10m
11m
12m
14f
18f
18m
19f
19m
21f
23m
33f
33f
34m
37f
39m
5m
8f
10f
11m
16f
16m
18m
23f
27f
29m
35m
41f
41m
46m
55f
59m
70f
71m
78f
93f
Chimpanzees
7.
HLA-F_2
EGR4_2
MYCL1_4
MYC_3
EGFR_2
BAT1_2
CDK4_1
LY6G6D_3
ABL1_4
ABL1_2
ERBB2_3
LY6G6D_2
EGFR_7
HSPA1A_7
UNG_2
GP1BB_3
CSNK2B_3
HLA-F_4
DBCCR1_3
SLC25A4_1
8
4
2
1
2
4
8.
9.
8
10.
-fold less methylated
than median
-fold more methylated
than median
Current Biology
Figure 1. Methylation patterns of humans and chimpanzees in brain, liver and lymphocyte samples.
Each row corresponds to a single CpG, each column to one sample of one individual.
For each cell the logarithm of the ratio of the intensity of the oligonucleotide representing the methylated CpG to the intensity of the oligonucleotide representing the
unmethylated CpG is calculated and log2 transformed. The color represents the
methylation level calculated as the distance from the median of all values in a row. As
indicated in the legend, more methylation than the median is depicted in red and less
methylation in green. Each CpG is named by the official gene symbol of the associated gene and a consecutive number. For each individual the age and sex is indicated. The 20 CpG sites with the highest effect size of the t-statistic (t2) are shown,
sorted by increasing t2-values from top to bottom. CpG sites classified as differently
methylated are indicated in bold.
available at http://www.currentbiology.com/supplemental
Acknowledgments
We thank Victor Wiebe for help
with the DNA sequencing and the
Bundesminsterium für Bildung und
Forschung and the Max Planck for
financial support. The authors at
Epigenomics AG disclose financial
conflict of interest.
References
1. Jones, P.A., and Takai, D. (2001).
The role of DNA methylation in
mammalian epigenetics. Science
293, 1068–1070.
2. Ebersberger, I., Metzler, D.,
Schwarz, C., and Paabo, S. (2002).
Genomewide comparison of DNA
sequences between humans and
chimpanzees. Am. J. Hum. Genet.
70, 1490–1497.
3. Fujiyama, A., Watanabe, H.,
Toyoda, A., Taylor, T.D., Itoh, T.,
Tsai, S.F., Park, H.S., Yaspo, M.L.,
Lehrach, H., Chen, Z., et al. (2002).
Construction and analysis of a
human-chimpanzee comparative
clone map. Science 295, 131–134.
4. Enard, W., Khaitovich, P., Klose,
J., Zollner, S., Heissig, F.,
Giavalisco, P., Nieselt-Struwe, K.,
11.
12.
13.
Muchmore, E., Varki, A., Ravid, R.,
et al. (2002). Intra- and
interspecific variation in primate
gene expression patterns. Science
296, 340–343.
Karaman, M.W., Houck, M.L.,
Chemnick, L.G., Nagpal, S.,
Chawannakul, D., Sudano, D.,
Pike, B.L., Ho, V.V., Ryder, O.A.,
and Hacia, J.G. (2003).
Comparative analysis of geneexpression patterns in human and
african great ape cultured
fibroblasts. Genome Res. 13,
1619–1630.
Caceres, M., Lachuer, J., Zapala,
M.A., Redmond, J.C., Kudo, L.,
Geschwind, D.H., Lockhart, D.J.,
Preuss, T.M., and Barlow, C.
(2003). Elevated gene expression
levels distinguish human from
non-human primate brains. Proc.
Natl. Acad. Sci. USA 100,
13030–13035.
Jaenisch, R., and Bird, A. (2003).
Epigenetic regulation of gene
expression: how the genome
integrates intrinsic and
environmental signals. Nat. Genet.
33 (Suppl.), 245–254.
Robertson, K.D., and Wolffe, A.P.
(2000). DNA methylation in health
and disease. Nat. Rev. Genet. 1,
11–19.
Adorjan, P., Distler, J., Lipscher,
E., Model, F., Muller, J., Pelet, C.,
Braun, A., Florl, A.R., Gutig, D.,
Grabs, G., et al. (2002). Tumour
class prediction and discovery by
microarray-based DNA
methylation analysis. Nucleic
Acids Res. 30, e21.
Shi, H., Maier, S., Nimmrich, I.,
Yan, P.S., Caldwell, C.W., Olek, A.,
and Huang, T.H. (2003).
Oligonucleotide-based microarray
for DNA methylation analysis:
Principles and applications. J.
Cell. Biochem. 88, 138–143.
Gitan, R.S., Shi, H., Chen, C.M.,
Yan, P.S., and Huang, T.H. (2002).
Methylation-specific
oligonucleotide microarray: a new
potential for high-throughput
methylation analysis. Genome
Res. 12, 158–164.
Chen, R.Z., Akbarian, S., Tudor,
M., and Jaenisch, R. (2001).
Deficiency of methyl-CpG binding
protein-2 in CNS neurons results
in a Rett-like phenotype in mice.
Nat. Genet. 27, 327–331.
Guy, J., Hendrich, B., Holmes, M.,
Martin, J.E., and Bird, A. (2001). A
mouse Mecp2-null mutation
causes neurological symptoms
that mimic Rett syndrome. Nat.
Genet. 27, 322–326.
1Max
Planck Institute for evolutionary
Anthropology, Deutscher Platz 6, D04103 Leipzig, Germany. *E-mail:
[email protected]
2Epigenomics AG, Kleine
Präsidentenstr. 1, D-10178 Berlin,
Germany.
3These authors contributed equally to
this work.