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17 Biesecker, L.G. (2005) Mapping phenotypes to language: a proposal to
organize and standardize the clinical descriptions of malformations.
Clin. Genet. 68, 320–326
18 Loscalzo, J. et al. (2007) Human disease classification in the
postgenomic era: a complex systems approach to human
pathobiology. Mol. Syst. Biol. 3, 124
19 Oti, M. and Brunner, H.G. (2007) The modular nature of genetic
diseases. Clin. Genet. 71, 1–11
20 Franke, L. et al. (2006) Reconstruction of a functional human gene
network, with an application for prioritizing positional candidate
genes. Am. J. Hum. Genet. 78, 1011–1025
0168-9525/$ – see front matter ß 2008 Elsevier Ltd. All rights reserved.
doi:10.1016/j.tig.2007.12.005
Genome Analysis
Rapid molecular evolution in a living fossil
Jennifer M. Hay1
, Sankar Subramanian1
, Craig D. Millar2
, Elmira Mohandesan1
and
David M. Lambert1
1
Allan Wilson Centre for Molecular Ecology and Evolution, Institute of Molecular BioSciences, Massey University,
Private Bag 102904 NSMC, Auckland, New Zealand
2
Allan Wilson Centre for Molecular Ecology and Evolution, School of Biological Sciences, University of Auckland, Private 92019,
Auckland, New Zealand
The tuatara of New Zealand is a unique reptile that
coexisted with dinosaurs and has changed little morpho-
logically from its Cretaceous relatives. Tuatara have very
slow metabolic and growth rates, long generation times
and slow rates of reproduction. This suggests that the
species is likely to exhibit a very slow rate of molecular
evolution. Our analysis of ancient and modern tuatara
DNA shows that, surprisingly, tuatara have the highest
rate of molecular change recorded in vertebrates. Our
work also suggests that rates of neutral molecular and
phenotypic evolution are decoupled.
The uniqueness of tuatara
The tuatara (Sphenodon punctatus), found only in New
Zealand, is the last surviving member of a distinct reptilian
order Sphenodontia that lived alongside early dinosaurs
and separated from other reptiles in the Upper Triassic
>220 million years ago [1,2]. The skeletal morphology of
modern tuatara shows a remarkable similarity to some
Cretaceous sphenodontian fossils [1], which has led to
them being described as a ’living fossil’ [2]. In addition
to their stable morphology, tuatara are characterized by
several distinct physiologic features that are uncommon
among reptiles. They have low body temperatures (they
are active down to 5 8C in the wild); slow rates of growth
($50 cm in 35 years); a slow metabolism; a long generation
time (sexual maturity at 10–15 years) and a slow repro-
ductive rate (at 2- to 5-year intervals) [3–5]. It has been
argued that generation time, metabolic rate, body
temperature and body size [6,7] modulate the rate of
neutral molecular evolution. In tuatara, the rare combi-
nation of slow rates of morphological evolution, growth and
metabolism suggest that rates of neutral DNA sequence
evolution should be slow. To examine this, we sequenced
the mitochondrial DNA hypervariable regions (HVRs) of
the control region from the modern and known-age ancient
tuatara individuals and estimated the rate of evolution of
this region.
Estimation of molecular evolutionary rate using ancient
DNA methodology
Traditionally rates of molecular evolution have been esti-
mated using phylogenetic methods, in which levels of
genetic divergence among closely related species have been
calibrated against time points in the fossil record. How-
ever, this is not possible in tuatara because there are no
closely related species, one of the characteristics of ‘living
fossils’. Instead, we recovered nucleotide sequences from
known-age sub-fossil bones of tuatara, and using Bayesian
statistics, we estimated the rate of molecular evolution of
the mitochondrial hypervariable regions.
We amplified and sequenced mitochondrial DNA
(mtDNA) sequences from sub-fossil bones of 33 ancient
tuatara and from blood samples of 41 modern individuals
covering the range of modern populations and ancient sites
(for locations of modern and ancient samples and methods,
see online supplementary material). We had 29 bones
radiocarbon dated and inferred dates of four more from
a well-stratified site; the ages of the bones range from 650
to 8750 years BP. A 468-bp DNA sequence (including align-
ment gaps) from the mitochondrial control region (HVR I
and HVR II) was recovered in three nonoverlapping frag-
ments from the ancient samples, and a 1039-bp sequence
covering the control region and flanking tRNAs from the
modern populations, but we used just the 468 bp
sequenced in the ancient samples in these analyses (Gen-
Bank accession numbers EU394280-EU394353). We used
Bayesian statistics based on a Markov chain Monte Carlo
(MCMC) approach to estimate the evolutionary rate of the
HVR sequences (online supplementary material). The rate
estimate was obtained using a general time-reversible
model of evolution. To account for the rate variation among
nucleotide positions, we used a discrete gamma distri-
bution of six rate categories. The rate was estimated
assuming a constant population size and a relaxed uncor-
related log-normal molecular clock.Corresponding author: Lambert, D.M. (D.M.Lambert@massey.ac.nz).
Update Trends in Genetics Vol.24 No.3
106
Higher rate of molecular evolution in tuatara
Our analysis shows that the mitochondrial HVR regions of
tuatara evolve at a rate of 1.56 [highest probability density
(HPD) 0.83–2.34] substitutions per nucleotide per million
years. This estimate remained almost the same when
modifying a range of prior assumptions such as substi-
tution model, molecular clock and population growth
(online supplementary material). In additional analyses,
Figure 1. Comparison of evolutionary rates of the mitochondrial hypervariable regions (HVR) regions of tuatara with rates estimated from nine other vertebrate species. The
evolutionary rate was estimated using 33 ancient and 41 modern sequences of tuatara. We used Bayesian statistics based on a Markov chain Monte Carlo (MCMC) approach
that accounts for various evolutionary parameters such as base composition, population size, rate and model of evolution using the software BEAST [24]. To model the
pattern of nucleotide evolution, sophisticated models such as Hasegawa-Kishino-Yano (HKY) and General Time-Reversible (GTR) were used. To account for the variation in
the rate of evolution among nucleotide positions, a discrete gamma distribution of six rate categories was used. Wide uniform prior distributions were used to avoid any
bias caused by restricted prior assumptions. For the estimation of the evolutionary rate in tuatara, priors were set to range from 10À10
to 1 substitution per site per year, and
in the case of population size, from 107
to 1 individuals. Both strict and relaxed molecular clock models were used for rate estimation and for each model constant and
exponential population growth assumptions were examined. The rate estimates were sampled once per 1000 cycles from the total MCMC chain length of 10 000 000 after
discarding the initial burn-in 1,000 000 steps. The posterior distributions were examined using the software TRACER [25], and the effective sample sizes (ESSs) for mean
evolutionary rate, population size and posterior likelihood were found to be >100 for all the models used. Our analysis showed that the rate of molecular evolution in
tuatara HVR regions is 1.56 [highest posterior density (HPD) intervals (0.83–2.34)] substitutions per nucleotide per million years. Although this result is based on relaxed
molecular clock and constant population size assumptions, the rate estimate and highest HPD (yellow area) were similar when varying several a priori assumptions (see
Supplementary Table S5). The evolutionary rate estimates for nine other vertebrates were obtained from previously published studies that used ancient DNA methods and
Bayesian MCMC statistics similar to this study [10,16,26–29]. The rate estimates obtained for ox, horse, moa and cave lion were adjusted for ancient DNA damage. However,
this does not bias our result (see main text). The Latin name, the length of the HVRs (bp), sample size and the age of the samples (thousand years) are as follows: Tuatara
(Sphenodon punctatus, 460; 76; 0–9), Ade´lie penguin (Pygoscelis adeliae; 313; 96; 0–7), aurochs (Bos primigenius, 379; 40; 2–12), Mappin’s moa (Pachyornis mappini; 241;
14; 1–6), bison (Bison bison/Bison priscus; 601; 182; 0–60), brown bear (Ursus arctos; 130; 30; 10–59), cave bear (Ursus spelaeus; 288; 26; 27–80), cave lion (Panthera leo
spelaea; 213; 34; 12–62), ox (Bos taurus; 379; 36; 4–6) and horse (Equus caballus; 348; 12; 1–28). Error bars indicate the HPD intervals.
Update Trends in Genetics Vol.24 No.3
107
we also used only the nucleotides present in all the ancient
and modern sequences (complete site deletion), and we
excluded the first four nucleotides that contain two dis-
tinct motifs (see online supplementary material). This
produced a conservative rate estimate of 1.37 (HPD
0.66–2.2). Generally, evolutionary rates obtained using
traditional calibration methods estimate HVR rates at
$0.2 substitutions/bp/million years (MY) [8,9]. This esti-
mate is almost an order of magnitude lower than those
estimated using ancient DNA methods [10,11]. Because
the rates estimated by calibration are consistently lower
than those estimated from ancient DNA, we compared our
result only with previous studies (Figure 1) using the
latter approach. The rate estimates in Figure 1 show that
the evolutionary rate of the tuatara HVR regions is the
highest among the vertebrate species studied to date. This
rate is >50% faster than that of other vertebrates (Figure
1). Postmortem ancient DNA damage can cause nucleotide
changes that increase the estimate of the rate of molecular
evolution [12–15], as could sequencing ancient DNA
Numts instead of mtDNA. However, neither can be
invoked to explain the high rate of evolution in tuatara
because of the observed similarities in ancient and mod-
ern HVR sequence (e.g. in nucleotide composition and
nucleotide pair frequencies; online supplementary
material). Recent studies have shown that the vast
majority of the ancient DNA damage results in C ! T
changes [16,17]. To examine this, we identified the orien-
tation of all the nucleotide changes in ancient and modern
HVR sequences using a maximum likelihood approach
implemented in the software PAML [18]. We found that
the ratio of C ! T to T ! C changes in the modern and
ancient populations were almost identical (2.71 and 2.66,
respectively, see Supplementary Table S4). Furthermore,
the sites of nucleotide substitution are the same in ancient
and modern samples (Supplementary Figure S3). There
are seven sites where there is variation only in multiple
ancient and no modern samples, but in each case the
individuals are in the same geographic location,
suggesting geographic variation rather than miscoding
lesions or Numts. A corroborating factor is that, in phy-
logenetic tree analyses (data not shown), branch lengths
to ancient samples are not consistently longer than to
modern samples. Ancient samples are from locations both
further north (warmer climate) and south (cooler) of mod-
ern populations, but there are no apparent north to south
or any other geographic or climatic cline in mutation
patterns to indicate environmentally selected variation
rather than neutral evolutionary change. These factors
further confirm that there was minimal postmortem
damage to the DNA, that the ancient sequences obtained
are authentic and that the unexpectedly high tuatara
evolutionary rates are real.
Neutral evolution and life history traits of tuatara
Given this high rate of molecular evolution, the stable
morphology of tuatara over tens of millions of years is
remarkable. By contrast, the birds and mammals shown
here (Figure 1) have undergone considerable morphologi-
cal change over the same period. The higher rate of tuatara
HVR evolution does not seem to be the result of a lineage-
specific effect, because the rate of evolution in other rep-
tiles is not higher than those recorded in birds and mam-
mals [19]. The observed higher rate of tuatara HVR
evolution does not support the hypothesized inverse
relationship between generation time and evolutionary
rates [20], because tuatara have a much longer generation
time (10–15 years) than do these birds and mammals
(<6 years). Our results also contradict the notion that
poikilothermic (cold-blooded) animals, such as tuatara,
should have slower rates of neutral molecular evolution
than homeothermic (warm-blooded) animals, such as
mammals and birds [6]. Other life history traits such as
body mass and metabolic rate cannot explain the elevated
rate of evolution in tuatara. The slow metabolic rate of
tuatara compared with other vertebrates suggests that the
reported positive relationship between metabolic rate and
molecular evolutionary rate cannot be generalized [6,7].
Furthermore, the rate of HVR evolution in tuatara is not
significantly different from the rates obtained for penguin,
aurochs or moa. This result argues against the effect of
body mass on the rate of nucleotide evolution [6,7], because
the body masses of the vertebrates shown in Figure 1 vary
up to three orders of magnitude (1–1000 kg).
Concluding remarks
Previous studies on living fossils such as the coelacanth
and the horseshoe crab have suggested a substantial
nucleotide diversity in these phylogenetically distinct
species [21,22], perhaps indirectly suggesting a high evol-
utionary rate. However, this is the first study to directly
estimate the rate of evolution in a living fossil and also the
first attempt to quantify the neutral evolutionary changes
in a species having such extreme physiologic and life
history traits. The results of our study support the hypoth-
esis that rates of neutral molecular and phenotypic evol-
ution are decoupled [23]. Hence, life history and
physiologic parameters do not explain all differences in
rates of neutral molecular evolution. Even if rates of
evolution are decoupled in nuclear and mitochondrial
DNA, metabolic rate theories [6,7] have suggested higher
temperatures may cause more oxidative damage in the
mitochondria and mtDNA. Perhaps the organization of the
mitochondrial genome, and the processes by which it tran-
scribes and replicates, might contribute more to our un-
derstanding of the diversity of rates of evolution across
major animal groups.
Acknowledgements
The authors thank the following for access to samples: modern, Charles
Daugherty and Stephen Sarre; ancient, Trevor Worthy, Alan Tennyson
(Museum of New Zealand), Neville Hudson (Geology Museum, University
of Auckland), Paul Scofield (Canterbury Museum), Karl Gillies, Lindsay
Hazley (Southland Museum) and Brian Gill (Auckland Museum). The
authors also thank Trevor Worthy for unpublished radiocarbon dates,
Judith Robins for independently verifying aDNA sequences, Leon
Huynen for help with cloning and the editor and four anonymous
reviewers for useful comments on the manuscript.
Supplementary data
Supplementary data associated with this article can
be found, in the online version, at doi:10.1016/j.tig.
2007.12.002.
Update Trends in Genetics Vol.24 No.3
108
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doi:10.1016/j.tig.2007.12.002 Available online 5 February 2008
Genome Analysis
Evolution of gene sequence and gene expression are
not correlated in yeast
Itay Tirosh1
and Naama Barkai2
1
Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
2
Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel
We show that, in yeast, the divergence rate of gene
expression is not correlated with that of its associated
coding sequence. Gene essentiality influences both
modes of evolution, but other properties related to
protein structure or promoter composition are only cor-
related with coding-sequence divergence or gene expres-
siondivergence,respectively.Basedonthesefindings,we
discuss the possibilities of neutral evolution of gene
expression and of different modes of evolution in unicel-
lular versus multicellular organisms.
Two levels of gene’s evolutionary divergence
Phenotypic diversity is generated through changes in both
protein structure and protein regulation, but the connec-
tion between these two evolutionary modes is not well
understood. For example, neutral drift (lack of positive
selection) is known to have a major role in the evolution of
coding sequences, but the extent to which it contributes to
gene expression divergence is still under debate [1–3].
Furthermore, genetic properties that impact the rate of
evolution were derived for each mode independently but
were not compared systematically.
Previous attempts to examine the relationship between
the divergence of gene expression and that of the corre-
sponding coding sequences in multicellular organisms
gave conflicting results, with a positive correlation foundCorresponding author: Barkai, N. (naama.barkai@weizmann.ac.il).
Update Trends in Genetics Vol.24 No.3
109

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10 rapid molecular evolution in a living fossil

  • 1. 17 Biesecker, L.G. (2005) Mapping phenotypes to language: a proposal to organize and standardize the clinical descriptions of malformations. Clin. Genet. 68, 320–326 18 Loscalzo, J. et al. (2007) Human disease classification in the postgenomic era: a complex systems approach to human pathobiology. Mol. Syst. Biol. 3, 124 19 Oti, M. and Brunner, H.G. (2007) The modular nature of genetic diseases. Clin. Genet. 71, 1–11 20 Franke, L. et al. (2006) Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes. Am. J. Hum. Genet. 78, 1011–1025 0168-9525/$ – see front matter ß 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.tig.2007.12.005 Genome Analysis Rapid molecular evolution in a living fossil Jennifer M. Hay1 , Sankar Subramanian1 , Craig D. Millar2 , Elmira Mohandesan1 and David M. Lambert1 1 Allan Wilson Centre for Molecular Ecology and Evolution, Institute of Molecular BioSciences, Massey University, Private Bag 102904 NSMC, Auckland, New Zealand 2 Allan Wilson Centre for Molecular Ecology and Evolution, School of Biological Sciences, University of Auckland, Private 92019, Auckland, New Zealand The tuatara of New Zealand is a unique reptile that coexisted with dinosaurs and has changed little morpho- logically from its Cretaceous relatives. Tuatara have very slow metabolic and growth rates, long generation times and slow rates of reproduction. This suggests that the species is likely to exhibit a very slow rate of molecular evolution. Our analysis of ancient and modern tuatara DNA shows that, surprisingly, tuatara have the highest rate of molecular change recorded in vertebrates. Our work also suggests that rates of neutral molecular and phenotypic evolution are decoupled. The uniqueness of tuatara The tuatara (Sphenodon punctatus), found only in New Zealand, is the last surviving member of a distinct reptilian order Sphenodontia that lived alongside early dinosaurs and separated from other reptiles in the Upper Triassic >220 million years ago [1,2]. The skeletal morphology of modern tuatara shows a remarkable similarity to some Cretaceous sphenodontian fossils [1], which has led to them being described as a ’living fossil’ [2]. In addition to their stable morphology, tuatara are characterized by several distinct physiologic features that are uncommon among reptiles. They have low body temperatures (they are active down to 5 8C in the wild); slow rates of growth ($50 cm in 35 years); a slow metabolism; a long generation time (sexual maturity at 10–15 years) and a slow repro- ductive rate (at 2- to 5-year intervals) [3–5]. It has been argued that generation time, metabolic rate, body temperature and body size [6,7] modulate the rate of neutral molecular evolution. In tuatara, the rare combi- nation of slow rates of morphological evolution, growth and metabolism suggest that rates of neutral DNA sequence evolution should be slow. To examine this, we sequenced the mitochondrial DNA hypervariable regions (HVRs) of the control region from the modern and known-age ancient tuatara individuals and estimated the rate of evolution of this region. Estimation of molecular evolutionary rate using ancient DNA methodology Traditionally rates of molecular evolution have been esti- mated using phylogenetic methods, in which levels of genetic divergence among closely related species have been calibrated against time points in the fossil record. How- ever, this is not possible in tuatara because there are no closely related species, one of the characteristics of ‘living fossils’. Instead, we recovered nucleotide sequences from known-age sub-fossil bones of tuatara, and using Bayesian statistics, we estimated the rate of molecular evolution of the mitochondrial hypervariable regions. We amplified and sequenced mitochondrial DNA (mtDNA) sequences from sub-fossil bones of 33 ancient tuatara and from blood samples of 41 modern individuals covering the range of modern populations and ancient sites (for locations of modern and ancient samples and methods, see online supplementary material). We had 29 bones radiocarbon dated and inferred dates of four more from a well-stratified site; the ages of the bones range from 650 to 8750 years BP. A 468-bp DNA sequence (including align- ment gaps) from the mitochondrial control region (HVR I and HVR II) was recovered in three nonoverlapping frag- ments from the ancient samples, and a 1039-bp sequence covering the control region and flanking tRNAs from the modern populations, but we used just the 468 bp sequenced in the ancient samples in these analyses (Gen- Bank accession numbers EU394280-EU394353). We used Bayesian statistics based on a Markov chain Monte Carlo (MCMC) approach to estimate the evolutionary rate of the HVR sequences (online supplementary material). The rate estimate was obtained using a general time-reversible model of evolution. To account for the rate variation among nucleotide positions, we used a discrete gamma distri- bution of six rate categories. The rate was estimated assuming a constant population size and a relaxed uncor- related log-normal molecular clock.Corresponding author: Lambert, D.M. (D.M.Lambert@massey.ac.nz). Update Trends in Genetics Vol.24 No.3 106
  • 2. Higher rate of molecular evolution in tuatara Our analysis shows that the mitochondrial HVR regions of tuatara evolve at a rate of 1.56 [highest probability density (HPD) 0.83–2.34] substitutions per nucleotide per million years. This estimate remained almost the same when modifying a range of prior assumptions such as substi- tution model, molecular clock and population growth (online supplementary material). In additional analyses, Figure 1. Comparison of evolutionary rates of the mitochondrial hypervariable regions (HVR) regions of tuatara with rates estimated from nine other vertebrate species. The evolutionary rate was estimated using 33 ancient and 41 modern sequences of tuatara. We used Bayesian statistics based on a Markov chain Monte Carlo (MCMC) approach that accounts for various evolutionary parameters such as base composition, population size, rate and model of evolution using the software BEAST [24]. To model the pattern of nucleotide evolution, sophisticated models such as Hasegawa-Kishino-Yano (HKY) and General Time-Reversible (GTR) were used. To account for the variation in the rate of evolution among nucleotide positions, a discrete gamma distribution of six rate categories was used. Wide uniform prior distributions were used to avoid any bias caused by restricted prior assumptions. For the estimation of the evolutionary rate in tuatara, priors were set to range from 10À10 to 1 substitution per site per year, and in the case of population size, from 107 to 1 individuals. Both strict and relaxed molecular clock models were used for rate estimation and for each model constant and exponential population growth assumptions were examined. The rate estimates were sampled once per 1000 cycles from the total MCMC chain length of 10 000 000 after discarding the initial burn-in 1,000 000 steps. The posterior distributions were examined using the software TRACER [25], and the effective sample sizes (ESSs) for mean evolutionary rate, population size and posterior likelihood were found to be >100 for all the models used. Our analysis showed that the rate of molecular evolution in tuatara HVR regions is 1.56 [highest posterior density (HPD) intervals (0.83–2.34)] substitutions per nucleotide per million years. Although this result is based on relaxed molecular clock and constant population size assumptions, the rate estimate and highest HPD (yellow area) were similar when varying several a priori assumptions (see Supplementary Table S5). The evolutionary rate estimates for nine other vertebrates were obtained from previously published studies that used ancient DNA methods and Bayesian MCMC statistics similar to this study [10,16,26–29]. The rate estimates obtained for ox, horse, moa and cave lion were adjusted for ancient DNA damage. However, this does not bias our result (see main text). The Latin name, the length of the HVRs (bp), sample size and the age of the samples (thousand years) are as follows: Tuatara (Sphenodon punctatus, 460; 76; 0–9), Ade´lie penguin (Pygoscelis adeliae; 313; 96; 0–7), aurochs (Bos primigenius, 379; 40; 2–12), Mappin’s moa (Pachyornis mappini; 241; 14; 1–6), bison (Bison bison/Bison priscus; 601; 182; 0–60), brown bear (Ursus arctos; 130; 30; 10–59), cave bear (Ursus spelaeus; 288; 26; 27–80), cave lion (Panthera leo spelaea; 213; 34; 12–62), ox (Bos taurus; 379; 36; 4–6) and horse (Equus caballus; 348; 12; 1–28). Error bars indicate the HPD intervals. Update Trends in Genetics Vol.24 No.3 107
  • 3. we also used only the nucleotides present in all the ancient and modern sequences (complete site deletion), and we excluded the first four nucleotides that contain two dis- tinct motifs (see online supplementary material). This produced a conservative rate estimate of 1.37 (HPD 0.66–2.2). Generally, evolutionary rates obtained using traditional calibration methods estimate HVR rates at $0.2 substitutions/bp/million years (MY) [8,9]. This esti- mate is almost an order of magnitude lower than those estimated using ancient DNA methods [10,11]. Because the rates estimated by calibration are consistently lower than those estimated from ancient DNA, we compared our result only with previous studies (Figure 1) using the latter approach. The rate estimates in Figure 1 show that the evolutionary rate of the tuatara HVR regions is the highest among the vertebrate species studied to date. This rate is >50% faster than that of other vertebrates (Figure 1). Postmortem ancient DNA damage can cause nucleotide changes that increase the estimate of the rate of molecular evolution [12–15], as could sequencing ancient DNA Numts instead of mtDNA. However, neither can be invoked to explain the high rate of evolution in tuatara because of the observed similarities in ancient and mod- ern HVR sequence (e.g. in nucleotide composition and nucleotide pair frequencies; online supplementary material). Recent studies have shown that the vast majority of the ancient DNA damage results in C ! T changes [16,17]. To examine this, we identified the orien- tation of all the nucleotide changes in ancient and modern HVR sequences using a maximum likelihood approach implemented in the software PAML [18]. We found that the ratio of C ! T to T ! C changes in the modern and ancient populations were almost identical (2.71 and 2.66, respectively, see Supplementary Table S4). Furthermore, the sites of nucleotide substitution are the same in ancient and modern samples (Supplementary Figure S3). There are seven sites where there is variation only in multiple ancient and no modern samples, but in each case the individuals are in the same geographic location, suggesting geographic variation rather than miscoding lesions or Numts. A corroborating factor is that, in phy- logenetic tree analyses (data not shown), branch lengths to ancient samples are not consistently longer than to modern samples. Ancient samples are from locations both further north (warmer climate) and south (cooler) of mod- ern populations, but there are no apparent north to south or any other geographic or climatic cline in mutation patterns to indicate environmentally selected variation rather than neutral evolutionary change. These factors further confirm that there was minimal postmortem damage to the DNA, that the ancient sequences obtained are authentic and that the unexpectedly high tuatara evolutionary rates are real. Neutral evolution and life history traits of tuatara Given this high rate of molecular evolution, the stable morphology of tuatara over tens of millions of years is remarkable. By contrast, the birds and mammals shown here (Figure 1) have undergone considerable morphologi- cal change over the same period. The higher rate of tuatara HVR evolution does not seem to be the result of a lineage- specific effect, because the rate of evolution in other rep- tiles is not higher than those recorded in birds and mam- mals [19]. The observed higher rate of tuatara HVR evolution does not support the hypothesized inverse relationship between generation time and evolutionary rates [20], because tuatara have a much longer generation time (10–15 years) than do these birds and mammals (<6 years). Our results also contradict the notion that poikilothermic (cold-blooded) animals, such as tuatara, should have slower rates of neutral molecular evolution than homeothermic (warm-blooded) animals, such as mammals and birds [6]. Other life history traits such as body mass and metabolic rate cannot explain the elevated rate of evolution in tuatara. The slow metabolic rate of tuatara compared with other vertebrates suggests that the reported positive relationship between metabolic rate and molecular evolutionary rate cannot be generalized [6,7]. Furthermore, the rate of HVR evolution in tuatara is not significantly different from the rates obtained for penguin, aurochs or moa. This result argues against the effect of body mass on the rate of nucleotide evolution [6,7], because the body masses of the vertebrates shown in Figure 1 vary up to three orders of magnitude (1–1000 kg). Concluding remarks Previous studies on living fossils such as the coelacanth and the horseshoe crab have suggested a substantial nucleotide diversity in these phylogenetically distinct species [21,22], perhaps indirectly suggesting a high evol- utionary rate. However, this is the first study to directly estimate the rate of evolution in a living fossil and also the first attempt to quantify the neutral evolutionary changes in a species having such extreme physiologic and life history traits. The results of our study support the hypoth- esis that rates of neutral molecular and phenotypic evol- ution are decoupled [23]. Hence, life history and physiologic parameters do not explain all differences in rates of neutral molecular evolution. Even if rates of evolution are decoupled in nuclear and mitochondrial DNA, metabolic rate theories [6,7] have suggested higher temperatures may cause more oxidative damage in the mitochondria and mtDNA. Perhaps the organization of the mitochondrial genome, and the processes by which it tran- scribes and replicates, might contribute more to our un- derstanding of the diversity of rates of evolution across major animal groups. Acknowledgements The authors thank the following for access to samples: modern, Charles Daugherty and Stephen Sarre; ancient, Trevor Worthy, Alan Tennyson (Museum of New Zealand), Neville Hudson (Geology Museum, University of Auckland), Paul Scofield (Canterbury Museum), Karl Gillies, Lindsay Hazley (Southland Museum) and Brian Gill (Auckland Museum). The authors also thank Trevor Worthy for unpublished radiocarbon dates, Judith Robins for independently verifying aDNA sequences, Leon Huynen for help with cloning and the editor and four anonymous reviewers for useful comments on the manuscript. Supplementary data Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.tig. 2007.12.002. Update Trends in Genetics Vol.24 No.3 108
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(1985) Evidence for higher rates of nucleotide substitution in rodents than in man. Proc. Natl. Acad. Sci. U. S. A. 82, 1741–1745 21 Holder, M.T. et al. (1999) Two living species of coelacanths? Proc. Natl. Acad. Sci. U. S. A. 96, 12616–12620 22 Avise, J.C. et al. (1994) A speciational history of living fossils— molecular evolutionary patterns in horseshoe crabs. Evolution Int. J. Org. Evolution 48, 1986–2001 23 Kimura, M. (1983) The Neutral Theory of Molecular Evolution. Cambridge University 24 Drummond, A.J. and Rambaut, A. (2003) BEAST, University of Oxford 25 Rambaut, A. and Drummond, A.J. (2004) Tracer, University of Oxford 26 Shapiro, B. et al. (2004) Rise and fall of the Beringian steppe bison. Science 306, 1561–1565 27 Saarma, U. et al. (2007) Mitogenetic structure of brown bears (Ursus arctos L.) in northeastern Europe and a new time frame for the formation of European brown bear lineages. Mol. Ecol. 16, 401–413 28 Edwards, C.J. et al. (2007) Mitochondrial DNA analysis shows a Near Eastern Neolithic origin for domestic cattle and no indication of domestication of European aurochs. Proc. Biol Sci. 274, 1377–1385 29 Ho, S.Y.W. et al. (2007) Evidence for time dependency of molecular rate estimates. Syst. Biol. 56, 515–522 0168-9525/$ – see front matter ß 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.tig.2007.12.002 Available online 5 February 2008 Genome Analysis Evolution of gene sequence and gene expression are not correlated in yeast Itay Tirosh1 and Naama Barkai2 1 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel 2 Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel We show that, in yeast, the divergence rate of gene expression is not correlated with that of its associated coding sequence. Gene essentiality influences both modes of evolution, but other properties related to protein structure or promoter composition are only cor- related with coding-sequence divergence or gene expres- siondivergence,respectively.Basedonthesefindings,we discuss the possibilities of neutral evolution of gene expression and of different modes of evolution in unicel- lular versus multicellular organisms. Two levels of gene’s evolutionary divergence Phenotypic diversity is generated through changes in both protein structure and protein regulation, but the connec- tion between these two evolutionary modes is not well understood. For example, neutral drift (lack of positive selection) is known to have a major role in the evolution of coding sequences, but the extent to which it contributes to gene expression divergence is still under debate [1–3]. Furthermore, genetic properties that impact the rate of evolution were derived for each mode independently but were not compared systematically. Previous attempts to examine the relationship between the divergence of gene expression and that of the corre- sponding coding sequences in multicellular organisms gave conflicting results, with a positive correlation foundCorresponding author: Barkai, N. (naama.barkai@weizmann.ac.il). Update Trends in Genetics Vol.24 No.3 109