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Molecular Evolution of FOXP2, a Gene Involved in Speech and Language

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Language is a uniquely human trait likely to have been a prerequisite for the development of human culture. The ability to develop articulate speech relies on capabilities, such as fine control of the larynx and mouth, that are absent in chimpanzees and other great apes. FOXP2 is the first gene relevant to the human ability to develop language. A point mutation in FOXP2 co-segregates with a disorder in a family in which half of the members have severe articulation difficulties accompanied by linguistic and grammatical impairment. This gene is disrupted by translocation in an unrelated individual who has a similar disorder. Thus, two functional copies of FOXP2 seem to be required for acquisition of normal spoken language. We sequenced the complementary DNAs that encode the FOXP2 protein in the chimpanzee, gorilla, orang-utan, rhesus macaque and mouse, and compared them with the human cDNA. We also investigated intraspecific variation of the human FOXP2 gene. Here we show that human FOXP2 contains changes in amino-acid coding and a pattern of nucleotide polymorphism, which strongly suggest that this gene has been the target of selection during recent human evolution.
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Molecular evolution of FOXP2, a gene
involved in speech and language
Wolfgang Enard*, Molly Przeworski*, Simon E. Fisher, Cecilia S. L. Lai,
Victor Wiebe*, Takashi Kitano*, Anthony P. Monaco & Svante Pa
¨
a
¨
bo*
* Max Planck Institute for Evolutionary Anthropology, Inselstrasse 22,
D-04103 Leipzig, Germany
Wellcome Trust Centre for Human Genetics, University of Oxford,
Roosevelt Drive, Oxford OX3 7BN, UK
.............................................................................................................................................................................
Language is a uniquely human trait likely to have been a
prerequisite for the development of human culture. The ability
to develop articulate speech relies on capabilities, such as fine
control of the larynx and mouth
1
, that are absent in chimpanzees
and other great apes. FOXP2 is the first gene relevant to the
human ability to develop language
2
. A point mutation in FOXP2
co-segregates with a disorder in a family in which half of the
members have severe articulation difficulties accompanied by
linguistic and grammatical impairment
3
. This gene is disrupted
by translocation in an unrelated individual who has a similar
disorder. Thus, two functional copies of FOXP2 seem to be
required for acquisition of normal spoken language. We
sequenced the complementary DNAs that encode the FOXP2
protein in the chimpanzee, gorilla, orang-utan, rhesus macaque
and mouse, and compared them with the human cDNA. We also
investigated intraspecific variation of the human FOXP2 gene.
Here we show that human FOXP2 contains changes in amino-
acid coding and a pattern of nucleotide polymorphism, which
strongly suggest that this gene has been the target of selection
during recent human evolution.
FOXP2 (forkhead box P2) is located on human chromosome
7q31, and its major splice form encodes a protein of 715 amino acids
belonging to the forkhead class of transcription factors
2
. It contains
a glutamine-rich region consisting of two adjacent polyglutamine
tracts, encoded by mixtures of CAG and CAA repeats. Such repeats
are known to have elevated mutation rates. In the case of FOXP2,
the lengths of the polyglutamine stretches differed for all taxa
studied. Variation in the second polyglutamine tract has been
observed in a small family affected with speech and language
impairment, but this did not co-segregate with disorder, suggesting
that minor changes in length may not significantly alter the function
of the protein
4
. If the polyglutamine stretches are disregarded, the
human FOXP2 protein differs at only three amino-acid positions
from its orthologue in the mouse (Fig. 1). When compared with a
collection of 1,880 human–rodent gene pairs
5
, FOXP2 is among the
5% most-conserved proteins. The chimpanzee, gorilla and rhesus
macaque FOXP2 proteins are all identical to each other and carry
only one difference from the mouse and two differences from the
human protein, whereas the orang-utan carries two differences
from the mouse and three from humans (Fig. 1). Thus, although
the FOXP2 protein is highly conserved, two of the three amino-acid
differences between humans and mice occurred on the human
lineage after the separation from the common ancestor with the
chimpanzee. These two amino-acid differences are both found in
exon 7 of the FOXP2 gene and are a threonine-to-asparagine and an
asparagine-to-serine change at positions 303 and 325, respectively.
Figure 2 shows the amino-acid changes, as well as the silent changes,
mapped to a phylogeny of the relevant primates.
We compared the FOXP2 protein structures predicted by a
variety of methods
6
for humans, chimpanzees, orang-utans and
mice. Whereas the chimpanzee and mouse structures were essen-
tially identical and the orang-utan showed only a minor change in
secondary structure, the human-specific change at position 325
creates a potential target site for phosphorylation by protein kinase
C together with a minor change in predicted secondary structure.
Several studies have shown that phosphorylation of forkhead
transcription factors can be an important mechanism mediating
transcriptional regulation
7,8
. Thus, although the FOXP2 protein is
extremely conserved among mammals, it acquired two amino-acid
changes on the human lineage, at least one of which may have
functional consequences. This is an intriguing finding, because
FOXP2 is the first gene known to be involved in the development
of speech and language.
To investigate whether the amino acids encoded in exon 7 are
polymorphic in humans, we sequenced this exon from 44 human
chromosomes originating from all major continents. In no case was
any amino-acid polymorphism found. Further, a study that ana-
lysed the complete coding region of FOXP2 in 91 unrelated
individuals of mainly European descent found no amino-acid
replacements except for one case of an insertion of two glutamine
codons in the second polyglutamine stretch
4
. Because the two
amino-acid variants specific to humans occur in 226 human
chromosomes, this suggests that they are fixed among humans.
The evolutionary lineages leading to humans and mice diverged
about 70 million years (Myr) ago
9,10
. Thus, during the roughly
130 Myr of evolution that separate the common ancestor of humans
and chimpanzees from the mouse, a single amino-acid change
occurred in the FOXP2 protein. By contrast, since the human and
chimpanzee lineages diverged about 4.6–6.2 Myr ago
11
, two fixed
amino-acid changes occurred on the human lineage whereas none
occurred on the chimpanzee and the other primate lineages, except
for one change on the orang-utan lineage. We used a likelihood
ratio
12
to test for constancy of the ratio of amino-acid replacements
over nucleotide changes that do not cause amino-acid changes
among the evolutionary lineages in Fig. 2. Whereas a significant
increase in this ratio was observed on the human lineage
(P , 0.001), no such increase was seen on any other lineage. This
finding is consistent with the action of positive selection on amino-
acid changes in the human lineage. However, the alternative
hypothesis of a relaxation of constraints on FOXP2 specific to the
human lineage cannot be excluded on the basis of these data alone.
If these two changes in amino-acid encoding (or some other
feature of the human FOXP2 gene) were positively selected recently
during human evolution, traces of a selective sweep should be
detectable in the pattern of variation found among humans
13,14
.To
investigate this possibility, we sequenced a segment of 14,063 base
pairs (bp) covering introns 4, 5 and 6 of the FOXP2 gene in seven
individuals from Africa, four from Europe, one from South Amer-
ica, five from mainland Asia and three from Australia and Papua
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(doi:10.1038/nature01025)”. Once the print version (identical to the AOP)
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advance online publication, 14 August 2002 (doi:10.1038/nature01025)”.
nature
Table 1 Variation at the FOXP2 locus in humans
No. of chromosomes sequenced 40
Length covered (double stranded, all individuals) 14,063 bp
Divergence from the chimp sequence* 0.87%
No. of variable positions 47
Singletons (no. of variable sites occurring
at frequency 1 and 39)
31
v
W
(nucleotide diversity based on the no.
of polymorphic sites)
0.079%
v
p
(mean nucleotide diversity) 0.03%
v
H
(nucleotide diversity with more weight given
to alleles at high frequency
17
)
0.117%
D (P , 0.01)† 22.20
H (P , 0.05)‡ 212.24
.............................................................................................................................................................................
*The corresponding value for the orang-utan is 2.5.
A negative D value indicates a relative excess of low-frequency alleles
15
.
A negative H value indicates a relative excess of high-frequency derived alleles
17
.
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New Guinea. In addition, we sequenced the same segment in a
chimpanzee from central Africa, a chimpanzee from western Africa
and an orang-utan (Table 1). One hallmark of a recent selective
sweep is that more low-frequency alleles should be observed than
expected under a neutral model of a random-mating population of
constant size. To test this prediction, we calculated Tajima’s D
statistic
15
. The value is 22.20 for our sample, indicating a sharp
excess of rare alleles. Under the standard neutral model outlined
above, the probability of such an excess by chance is 0.002.
Population growth can also lead to negative D values throughout
the genome. However, the value of D at FOXP2 is unusually low
compared with other loci. For example, among 313 human genes
16
sequenced in a sample of 164 chromosomes, only one has a more
negative value (22.25). A second prediction for a selective sweep at
a recombining locus is that more derived (that is, non-ancestral)
alleles at high frequency are expected than under the standard
neutral model, a feature reflected in a negative H value
17
. To estimate
H, we inferred the ancestral states of variable positions seen among
the humans by using the chimpanzee and orang-utan DNA
sequences. The H value of 212.24 deviates significantly from the
neutral expectation of zero (P ¼ 0.042) and would be even less likely
by chance under a model with population growth
13
. The strongly
negative D and H reflect an extreme skew in the frequency spectrum
of allelic variants at FOXP2 towards rare and high-frequency alleles.
Because we considered a worldwide sample of humans, population
structure might contribute to the negative D value. However, this
type of sampling scheme is highly unlikely to produce a significantly
negative H value. In contrast to demographic explanations, a
selective sweep affecting the FOXP2 gene can account for both
aspects of the frequency spectrum. We do not observe a reduced
diversity at human FOXP2 relative to its divergence from the
chimpanzee, as expected under a simple selective-sweep model.
However, the magnitude of the reduction in variability expected
after a selective sweep depends crucially on the rate of recombina-
tion. Estimates of recombination between intronic polymorphisms
taken from a study of FOXP2 (ref. 4) suggest that this region of the
gene experiences rates of genetic exchange roughly five times the
genome-wide average. If we assume that a selective sweep at a linked
site does account for the patterns of variability recovered at FOXP2,
it is noteworthy that the next gene is located 286 kilobases (kb) away
from the sequenced segment. A selective sweep is not expected to
lead to an excess of high-frequency derived alleles at sites that are
286 kb distant from the target of selection
13,17
. Thus, the best
candidates for the selected sites are the two amino-acid substi-
tutions specific to humans in exon 7.
Individuals with disruption of FOXP2 have multiple difficulties
with both expressive and receptive aspects of language and gram-
mar, and the nature of the core deficit remains a matter of debate
18–
20
. Nevertheless, a predominant feature of the phenotype of affected
individuals is an impairment of selection and sequencing of fine
orofacial movements
18
, an ability that is typical of humans and not
present in the great apes. We speculate that some human-specific
Figure 1 Alignment of the amino-acid sequences inferred from the FOXP2 cDNA sequences. The polyglutamine stretches and the forkhead domain are shaded. Sites that differ from the
human sequence are boxed.
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feature of FOXP2, perhaps one or both of the amino-acid substi-
tutions in exon 7, affect a person’s ability to control orofacial
movements and thus to develop proficient spoken language. If
this speculation is true, then the time when such a FOXP2 variant
became fixed in the human population may be pertinent with
regard to the evolution of human language. We estimated this
time point using a likelihood approach. Under a model of a
randomly mating population of constant size, the most likely date
since the fixation of the beneficial allele is 0, with approximate 95%
confidence intervals of 0 and 120,000 years. Our point-estimate of 0
reflects the fact that high-frequency alleles rapidly drift to fixation,
so an excess is most likely immediately after a selective sweep.
However, if population growth soon succeeds the fixation of the
advantageous allele, the rate of drift will be decreased and high-
frequency alleles may persist longer in the population. Thus, the
inclusion of population growth may push this time estimate back by
at most the time since the onset of human population growth, some
10,000–100,000 years ago
21
. In any case, our method suggests that
the fixation occurred during the last 200,000 years of human history,
that is, concomitant with or subsequent to the emergence of
anatomically modern humans
22
. This is compatible with a model
in which the expansion of modern humans was driven by the
appearance of a more-proficient spoken language
22
. However, to
establish whether FOXP2 is indeed involved in basic aspects of
human culture, the normal functions of both the human and the
chimpanzee FOXP2 proteins need to be clarified. A
Methods
Isolation of cDNA sequences
For all analysed species, we amplified by polymerase chain reaction (PCR) and sequenced
overlapping fragments of the FOXP2 coding region from first-strand cDNA. Details are
available in Supplementary Information.
Genomic sequencing
Full details are available in Supplementary Information. In brief, we designed primers
from a human bacterial artificial chromosome (BAC) sequence (accession number
AC020606), PCR-amplified fragments of 6–14 kb, re-amplified 2.2-kb fragments from
these products that were then sequenced with internal primers. For each individual, each
nucleotide position was read from both strands. Sequence traces were manually analysed
for polymorphic positions using the program Seqman of the DNAStar package (see also
Supplementary Information).
Data analysis
We aligned sequences with the help of the program ClustalW
23
and calculated most
statistics with DnaSP 3.51 (ref. 24). P values for D and H were obtained by coalescent
simulations implemented for a fixed number of segregating sites, and assuming no
recombination. If we take into account recombination within the 14 kb, the P values
decrease (for example, P , 0.01 for H and P , 10
24
for D if one assumes an effective
population size of 10
4
and a recombination rate of 5 centimorgans (cM) per Mb). Because
the chimpanzee and orang-utan do not differ at any polymorphic position compared with
humans, we assumed no back mutations when estimating the P value for H. The likelihood
ratio tests for non-silent and silent substitutions were performed using the PAML
package
12
as described
25
(see Supplementary Information). We predicted the structure of
human, chimpanzee, mouse and orang-utan FOXP2 using the program PredictProtein
(http://www.embl-heidelberg.de/predictprotein/predictprotein.html)
6
, which includes
prediction of sites of protein kinase C phosphorylation by PROSITE
26
. The orang-utan-
specific alanine-to-valine change at position 6 results in the prediction of a
b
-sheet at
positions 8–10 in the orang-utan, and the human-specific change at position 325 results in
the prediction of a
b
-sheet in positions 323–326. However, these are not reliable and may
not be relevant. We used the University of California at Santa Cruz Human Genome
Project Working Draft, 22 December 2001 assembly (http://genome.cse.ucsc.edu), to
estimate distances to the closest genes. The middle of the sequenced region is 220 kb away
from the known 5
0
end and 54 kb away from the 3
0
end of FOXP2, respectively. The next
gene (supported by the cDNA sequence with GenBank accession number AF054589) is
located 286 kb distant in the 3
0
direction.
Modelling the selective sweep
A summary likelihood method (compare with ref. 27) was used to estimate the time, T,
since the fixation of the beneficial allele in the population. The polymorphism data was
summarized as v
H
(ref. 17) and p (ref. 28). We then ran coalescent simulations of a
selective sweep with recombination as in ref. 13. These simulations assume that we have
polymorphism data for a neutral locus, at some distance from a selected site, and that
selection acted on a newly arising variant. The likelihood of T is estimated as the
proportion of n simulated data sets, where jv
Hobs
2 v
Hsim
j , 1 and jp
obs
2 p
sim
j , 1
(here, n ¼ 3 £ 10
6
and 1 ¼ 0.2). The likelihood of T was evaluated over a grid of points
spaced every 1,000 generations. We then chose the T value that maximizes the probability
of obtaining the observed (v
H
, p) values. In addition to T, several additional parameters
are in this selective sweep model: the distance to the selected site, the effective population
size of humans, the strength of selection, the mutation rate and the recombination rate. It
is not computationally feasible to co-estimate all of these parameters, and we proceeded by
assuming that the values of most nuisance parameters are known exactly. We hypothesized
that one of the substitutions on the human lineage was the selected site and used a point
estimate of the population mutation rate (assuming 5 Myr to the common ancestor of a
human and chimpanzee DNA sequence). We modelled uncertainty in the recombination
rate per megabase by choosing the rate for each simulation from a
g
distribution with
parameters (5, 1); the mean was set to the recombination rate estimated from two
polymorphic markers in introns 2 and 16, respectively, of the FOXP2 gene
4
. The effective
population size was taken to be 10
4
, on the basis of estimates for other loci
29
. We tried three
different values for the selection coefficient: s ¼ 5%, 1% and 0.5%. For these parameters,
an s of 1% resulted in the highest likelihoods, so we reported the results for s ¼ 1%. If we
use the chi-squared approximation with one degree of freedom for the log-likelihood ratio
statistic 2lnðLikð
^
TÞ=LikðTÞÞ, we obtain an approximate 95% confidence interval for T of
[0, 4,000 generations]. However, this approximation may not be appropriate in this
context. Thus, we also ran 100 simulations to examine the distribution of T
ˆ
when the true
T is equal to our maximum likelihood estimate of T ¼ 0 (here, n ¼ 5 £ 10
5
and 1 ¼ 0.2).
These simulations suggested an approximate 95% confidence interval of [0, 6,000
generations]. We assumed a generation time of 20 years for converting T into years.
Received 11 November 2001; accepted 29 July 2002; doi:10.1038/nature01025.
Published online 14 August 2002.
1. Liebermann, P. The Biology and Evolution of Language (Harvard Univ. Press, Cambridge,
Massachusetts, 1984).
2. Lai, C. S. L., Fisher, S. E., Hurst, J. A., Vargha-Khadem, F. & Monaco, A. P. A forkhead-domain gene is
mutated in a severe speech and language disorder. Nature 413, 519–523 (2001).
3. Fisher, S. E., Vargha-Khadem, F., Watkins, K. E., Monaco, A. P. & Pembrey, M. E. Localisation of a gene
implicated in a severe speech and language disorder. Nature Genet. 18, 168–170 (1998).
4. Newbury, D. F. et al. Foxp2 is not a major susceptibility gene for autism or specific language
impairment. Am. J. Hum. Genet. 70, 1318–1327 (2002).
5. Makalowski, W. & Boguski, M. S. Evolutionary parameters of the transcribed mammalian genome:
An analysis of 2,820 orthologous rodent and human sequences. Proc. Natl Acad. Sci. USA 95,
9407–9412 (1998).
6. Rost, B. Phd: Predicting one-dimensional protein structure by profile-based neural networks. Methods
Enzymol. 266, 525–539 (1996).
7. Kops, G. J. et al. Control of cell cycle exit and entry by protein kinase b-regulated forkhead
transcription factors. Mol. Cell. Biol. 22, 2025–2036 (2002).
8. Brunet, A. et al. Akt promotes cell survival by phosphorylating and inhibiting a forkhead transcription
factor. Cell 96, 857–868 (1999).
9. Kumar, S. & Hedges, S. B. A molecular timescale for vertebrate evolution. Nature 392, 917–920 (1998).
10. Eizirik, E., Murphy, W. J. & O’Brien, S. J. Molecular dating and biogeography of the early placental
mammal radiation. J. Hered. 92, 212–219 (2001).
11. Chen, F. C. & Li, W. H. Genomic divergences between humans and other hominoids and the effective
population size of the common ancestor of humans and chimpanzees. Am. J. Hum. Genet. 68, 444–456
(2001).
12. Yang, Z. Paml: A program package for phylogenetic analysis by maximum likelihood. Comput. Appl.
Biosci. 13, 555–556 (1997).
13. Przeworski, M. The signature of positive selection at randomly chosen loci. Genetics 160, 1179–1189
(2002).
14. Simonsen, K. L., Churchill, G. A. & Aquadro, C. F. Properties of statistical tests of neutrality for DNA
polymorphism data. Genetics 141, 413–429 (1995).
15. Tajima, F. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.
Genetics 123, 585–595 (1989).
16. Stephens, J. C. et al. Haplotype variation and linkage disequilibrium in 313 human genes. Science 293,
489–493 (2001).
17. Fay, J. C. & Wu, C. I. Hitchhiking under positive darwinian selection. Genetics 155, 1405–1413 (2000).
18. Vargha-Khadem, F., Watkins, K., Alcock, K., Fletcher, P. & Passingham, R. Praxic and nonverbal
cognitive deficits in a large family with a genetically transmitted speech and language disorder. Proc.
Natl Acad. Sci. USA 92, 930–933 (1995).
19. Gopnik, M. & Crago, M. B. Familial aggregation of a developmental language disorder. Cognition 39,
1–50 (1991).
0/7
1/2
0/5
1/131
0/5
0/2
0/2
2/0***
0/2
Human
Chimp
Gorilla
Orang-utan
Rhesus
Mouse
Figure 2 Silent and replacement nucleotide substitutions mapped on a phylogeny of
primates. Bars represent nucleotide changes. Grey bars indicate amino-acid changes.
advance online publication letters to nature
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© 2002
Nature
Publishing
Group
20. Watkins, K. E., Dronkers, N. F. & Vargha-Khadem, F. Behavioural analysis of an inherited speech and
language disorder: Comparison with acquired aphasia. Brain 125, 452–464 (2002).
21. Wall, J. D. & Przeworski, M. When did the human population size start increasing? Genetics 155,
1865–1874 (2000).
22. Klein, G. The Human Career, Human Biological and Cultural Origins (Univ. Chicago Press, Chicago,
1989).
23. Thompson, J. D., Higgins, D. G. & Gibson, T. J. ClustalW: Improving the sensitivity of progressive
multiple sequence alignment through sequence weighting, position-specific gap penalties and weight
matrix choice. Nucleic Acids Res. 22, 4673–4680 (1994).
24. Rozas, J. & Rozas, R. Dnasp version 3: An integrated program for molecular population genetics and
molecular evolution analysis. Bioinformatics 15, 174–175 (1999).
25. Yang, Z. Likelihood ratio tests for detecting positive selection and application to primate lysozyme
evolution. Mol. Biol. Evol. 15, 568–573 (1998).
26. Bairoch, A., Bucher, P. & Hofmann, K. The prosite database, its status in 1997. Nucleic Acids Res. 25,
217–221 (1997).
27. Jensen, M. A., Charlesworth, B. & Kreitman, M. Patterns of genetic variation at a chromosome 4 locus
of Drosophila melanogaster and D. simulans. Genetics 160, 493–507 (2002).
28. Tajima, F. Evolutionary relationship of DNA sequences in finite populations. Genetics 105, 437–460
(1983).
29. Harpending, H. & Rogers, A. Genetic perspectives on human origins and differentiation. Annu. Rev.
Genom. Hum. Genet. 1, 361–385 (2000).
30. Watterson, G. A. On the number of segregating sites in genetical models without recombination.
Theor. Popul. Biol. 7, 256–276 (1975).
Supplementary Information accompanies the paper on Natures website
(http://www.nature.com/nature).
Acknowledgements
We thank F. Heissig for help with the cDNA sequencing; A. von Haeseler, G. Weiss and
S. Zo
¨
llner for help with the data analysis on an earlier version of the manuscript;
J. Wickings at the Centre International de Recherches Medicales for DNA samples of
central chimpanzees; and the Bundesminsterium fu
¨
r Bildung und Forschung, the Max
Planck Society and the Wellcome Trust for financial support. M.P. was supported by a
National Science Foundation postdoctoral research fellowship in bioinformatics. S.E.F. is a
Royal Society Research Fellow and A.P.M. is a Wellcome Trust Principal Research Fellow.
Competing interests statement
The authors declare that they have no competing financial interests.
Correspondence and requests for materials should be addressed to S.P.
(e-mail: paabo@eva.mpg.de). FOXP2 cDNA sequences of the mouse, rhesus macaque,
orang-utan, gorilla, chimpanzee and human have GenBank accession numbers AY079003,
AF512950, AF512949, AF512948, AF512947 and AF337817, respectively. Accession numbers for
genomic sequences for the twenty humans, two chimpanzees and one orang-utan are
AF515031–AF515050, AF515051–AF515052 and AF515053, respectively.
letters to nature advance online publication
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Supplementary resources (28)

... Those point mutations might play a role in disease progression and pathogenesis [25]. GeneMANIA analysis revealed that FOXP4 gene significantly interacts with 20 different genes [47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66]. FOXP4 gene showed more significant interactions with FOXP1, 2 genes, MKI67 (marker of proliferation Ki-67), GATAD2B (GATA zinc finger domain containing 2B) than others genes. ...
... FOXP4 gene showed more significant interactions with FOXP1, 2 genes, MKI67 (marker of proliferation Ki-67), GATAD2B (GATA zinc finger domain containing 2B) than others genes. Here, FOXP1 promotes cancer stem cell [47], and FOXP2 is relevant to the human ability to develop language [48]. MKI67 gene plays a vital role in the tumor microenvironment (TME) and congenital immunity [49]. ...
... Hence, nsSNPs in FOXP4 gene interacting with these genes might result serious health hazards. STRING tool mediated analysis resulted that FOXP4 is tightly interacting with 10 proteins [47,48,51,53,54,[67][68][69][70][71]. Among 10 proteins, five were common interacting proteins (FOXP2, FOXP1, FOXP3, FOXP1-2 and DHDDS) in STRING and GeneMANIA analyses indicate that FOXP4 precisely interacted with the mentioned genes (Supplementary Table 3 and Table 4). ...
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In humans, FOXP gene family is involved in embryonic development and cancer progression. The FOXP4 (Forkhead box protein P4) gene belongs to this FOXP gene family. FOXP4 gene plays a crucial role in oncogenesis. Single nucleotide polymorphisms are biological markers and common determinants of human diseases. Mutations can largely affect the function of the corresponding protein. Therefore, the molecular mechanism of nsSNPs in the FOXP4 gene needs to be elucidated. Initially, the SNPs of the FOXP4 gene were extracted from the dbSNP database and a total of 23124 SNPs was found, where 555 nonsynonymous, 20525 intronic, 1114 noncoding transcript, 334 synonymous were obtained and the rest were unspecified. Then, a series of bioinformatics tools (SIFT, PolyPhen2, SNAP2, PhD SNP, PANTHER, I-Mutant2.0, MUpro, GOR IV, ConSurf, NetSurfP 2.0, HOPE, DynaMut2, GeneMANIA, STRING and Schrodinger) were used to explore the effect of nsSNPs on FOXP4 protein function and structural stability. First, 555 nsSNPs were analyzed using SIFT, of which 57 were found as deleterious. Following, PolyPhen2, SNAP2, PhD SNP and PANTHER analyses, 10 nsSNPs (rs372762294, rs141899153, rs142575732, rs376938850, rs367607523, rs112517943, rs140387832, rs373949416, rs373949416 and rs376160648) were common and observed as deleterious, damaging and diseases associated. Following that, using I-Mutant2.0 and MUpro servers, 7 nsSNPs were found to be the most unstable. GOR IV predicted that these seven nsSNPs affect protein structure by altering the protein contents of alpha helixes, extended strands, and random coils. Following DynaMut2, 5 nsSNPs showed a decrease in the ΔΔG value compared with the wild-type and were found to be responsible for destabilizing the corresponding protein. GeneMANIA and STRING network revealed interaction of FOXP4 with other genes. Finally, molecular dynamics simulation analysis revealed consistent fluctuation in RMSD and RMSF values, Rg and hydrogen bonds in the mutant proteins compared with WT, which might alter the functional and structural stability of the corresponding protein. As a result, the aforementioned integrated comprehensive bioinformatic analyses provide insight into how various nsSNPs of the FOXP4 gene change the structural and functional properties of the corresponding protein, potentially proceeding with the pathophysiology of human diseases.
... The forkhead box P2 protein appears to be essential for the normal development of speech and language. 62 The discovery of differences in two amino acids between the forkhead box P2 proteins of humans and chimpanzees raised the possibility that the mutation in FOXP2 gene could be one of the main factors for the development of human language. [61][62][63] But soon after, analysis of Neandertal DNA verified that our closest relative already shared with modern humans these two evolutionary changes in FOXP2. ...
... 62 The discovery of differences in two amino acids between the forkhead box P2 proteins of humans and chimpanzees raised the possibility that the mutation in FOXP2 gene could be one of the main factors for the development of human language. [61][62][63] But soon after, analysis of Neandertal DNA verified that our closest relative already shared with modern humans these two evolutionary changes in FOXP2. 64 The result suggested that the two amino-acid substitutions had occurred 400 thousand years ago or even before in a common ancestor of modern humans and Neandertals. ...
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... The Dikika australopithecine infant's hyoid bone (Alemseged et al. 2006) and the detection of the FOXP2 'language gene' on chromosome 7 from 'Neanderthal' remains (cf. Enard et al. 2002a;Zhang et al. 2002;Sanjuan et al. 2006;Krause et al. 2007) render these discussions superfluous. The major syntheses of recent decades about language origins tend to return to linguistic gradualist perspectives (Bickerton 1990(Bickerton , 1993(Bickerton , 1996(Bickerton , 2010Dunbar 1996;Aitchison 1996;Falk 2009), and their authors arrive at the same basic finding: human language is such a complex phenomenon that its evolution, in every sense, demands a very lengthy process, dating back millions of years. ...
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The Cambridge Handbook of Consciousness is the first of its kind in the field, and its appearance marks a unique time in the history of intellectual inquiry on the topic. After decades during which consciousness was considered beyond the scope of legitimate scientific investigation, consciousness re-emerged as a popular focus of research towards the end of the last century, and it has remained so for nearly 20 years. There are now so many different lines of investigation on consciousness that the time has come when the field may finally benefit from a book that pulls them together and, by juxtaposing them, provides a comprehensive survey of this exciting field. An authoritative desk reference, which will also be suitable as an advanced textbook.
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The Cambridge Handbook of Consciousness is the first of its kind in the field, and its appearance marks a unique time in the history of intellectual inquiry on the topic. After decades during which consciousness was considered beyond the scope of legitimate scientific investigation, consciousness re-emerged as a popular focus of research towards the end of the last century, and it has remained so for nearly 20 years. There are now so many different lines of investigation on consciousness that the time has come when the field may finally benefit from a book that pulls them together and, by juxtaposing them, provides a comprehensive survey of this exciting field. An authoritative desk reference, which will also be suitable as an advanced textbook.
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The Cambridge Handbook of Consciousness is the first of its kind in the field, and its appearance marks a unique time in the history of intellectual inquiry on the topic. After decades during which consciousness was considered beyond the scope of legitimate scientific investigation, consciousness re-emerged as a popular focus of research towards the end of the last century, and it has remained so for nearly 20 years. There are now so many different lines of investigation on consciousness that the time has come when the field may finally benefit from a book that pulls them together and, by juxtaposing them, provides a comprehensive survey of this exciting field. An authoritative desk reference, which will also be suitable as an advanced textbook.
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The Cambridge Handbook of Consciousness is the first of its kind in the field, and its appearance marks a unique time in the history of intellectual inquiry on the topic. After decades during which consciousness was considered beyond the scope of legitimate scientific investigation, consciousness re-emerged as a popular focus of research towards the end of the last century, and it has remained so for nearly 20 years. There are now so many different lines of investigation on consciousness that the time has come when the field may finally benefit from a book that pulls them together and, by juxtaposing them, provides a comprehensive survey of this exciting field. An authoritative desk reference, which will also be suitable as an advanced textbook.
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The Cambridge Handbook of Consciousness is the first of its kind in the field, and its appearance marks a unique time in the history of intellectual inquiry on the topic. After decades during which consciousness was considered beyond the scope of legitimate scientific investigation, consciousness re-emerged as a popular focus of research towards the end of the last century, and it has remained so for nearly 20 years. There are now so many different lines of investigation on consciousness that the time has come when the field may finally benefit from a book that pulls them together and, by juxtaposing them, provides a comprehensive survey of this exciting field. An authoritative desk reference, which will also be suitable as an advanced textbook.
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