EP300 contributes to high-altitude adaptation in Tibetans by regulating nitric oxide production

Wang-Shan Zheng, Yao-Xi He, Chao-Ying Cui, Ouzhuluobu, Dejiquzong, Yi Peng, Cai-Juan Bai, Duojizhuoma, Gonggalanzi, Bianba, Baimakangzhuo, Yong-Yue Pan, Qula, Kangmin, Cirenyangji, Baimayangji, Wei Guo, Yangla, Hui Zhang, Xiao-Ming Zhang, Yong-Bo Guo,, Shu-Hua Xu, Hua Chen, Sheng-Guo Zhao, Yuan Cai, Shi-Ming Liu, Tian-Yi Wu, Xue-Bin Qi,*, Bing Su,*

1College of Animal Science and Technology,Gansu Agricultural University,Lanzhou Gansu730070,China

2State Key Laboratory of Genetic Resources and Evolution,Kunming Institute of Zoology,Chinese Academy of Sciences,Kunming Yunnan650223,China

3High Altitude Medical Research Center,School of Medicine,Tibetan University,Lhasa Tibet850000,China

4Kunming College of Life Science, University of Chinese Academy of Sciences,Kunming Yunnan650204,China

5Chinese Academy of Sciences Key Laboratory of Computational Biology,Max Planck Independent Research Group on Population Genomics,CAS-MPG Partner Institute for Computational Biology,Shanghai Institutes for Biological Sciences,Chinese Academy of Sciences, Shanghai200031,China

6Center for Computational Genomics,Beijing Institute of Genomics,Chinese Academy of Sciences,Beijing100101,China

7National Key Laboratory of High Altitude Medicine,High Altitude Medical Research Institute,XiningQinghai810012,China

8School of Life Science and Technology,Shanghai Tech University,Shanghai200031,China

9Collaborative Innovation Center of Genetics and Development,Shanghai200438,China

ZOOLOGICAL RESEARCH

EP300 contributes to high-altitude adaptation in Tibetans by regulating nitric oxide production

Wang-Shan Zheng1,2,#, Yao-Xi He2,4,#, Chao-Ying Cui3,#, Ouzhuluobu3, Dejiquzong3, Yi Peng2, Cai-Juan Bai3, Duojizhuoma3, Gonggalanzi3, Bianba3, Baimakangzhuo3, Yong-Yue Pan3, Qula3, Kangmin3, Cirenyangji3, Baimayangji3, Wei Guo3, Yangla3, Hui Zhang2, Xiao-Ming Zhang2, Yong-Bo Guo1,2, Shu-Hua Xu5,8,9, Hua Chen6, Sheng-Guo Zhao1, Yuan Cai1, Shi-Ming Liu7, Tian-Yi Wu7, Xue-Bin Qi2,*, Bing Su2,*

1College of Animal Science and Technology,Gansu Agricultural University,Lanzhou Gansu730070,China

2State Key Laboratory of Genetic Resources and Evolution,Kunming Institute of Zoology,Chinese Academy of Sciences,Kunming Yunnan650223,China

3High Altitude Medical Research Center,School of Medicine,Tibetan University,Lhasa Tibet850000,China

4Kunming College of Life Science, University of Chinese Academy of Sciences,Kunming Yunnan650204,China

5Chinese Academy of Sciences Key Laboratory of Computational Biology,Max Planck Independent Research Group on Population Genomics,CAS-MPG Partner Institute for Computational Biology,Shanghai Institutes for Biological Sciences,Chinese Academy of Sciences, Shanghai200031,China

6Center for Computational Genomics,Beijing Institute of Genomics,Chinese Academy of Sciences,Beijing100101,China

7National Key Laboratory of High Altitude Medicine,High Altitude Medical Research Institute,XiningQinghai810012,China

8School of Life Science and Technology,Shanghai Tech University,Shanghai200031,China

9Collaborative Innovation Center of Genetics and Development,Shanghai200438,China

The genetic adaptation of Tibetans to high altitude hypoxia likely involves a group of genes in the hypoxic pathway, as suggested by earlier studies. To test the adaptive role of the previously reported candidate geneEP300(histone acetyltransferase p300), we conducted resequencing of a 108.9 kb gene region ofEP300in 80 unrelated Tibetans. The allele-frequency and haplotype-based neutrality tests detected signals of positive Darwinian selection onEP300in Tibetans, with a group of variants showing allelic divergence between Tibetans and lowland reference populations, including Han Chinese, Europeans, and Africans. Functional prediction suggested the involvement of multipleEP300variants in gene expression regulation. More importantly, genetic association tests in 226 Tibetans indicated significant correlation of the adaptiveEP300variants with blood nitric oxide (NO) concentration. Collectively, we propose thatEP300harbors adaptive variants in Tibetans, which might contribute to high-altitude adaptation through regulating NO production.

Tibetans; High altitude; Hypoxia;EP300; Genetic adaptation; Nitric oxide

INTRODUCTION

Tibetans are well adapted to high-altitude environments, in which the key environmental stress is hypobaric hypoxia. Physiologically, Tibetans show blunted responses to high altitude hypoxia, with low pulmonary vasoconstrictor response and low hemoglobin concentration compared with lowlanders moving to high altitude (Wu & Kayser, 2006). Previous genetic studies have reported a group of genes that show deep genetic divergence between Tibetans and Han Chinese. These genes are involved in the hypoxic pathway and therefore likely play important roles in thegenetic adaptation to high altitude hypoxia found in Tibetans (Beall et al., 2010; Bigham et al., 2010; Peng et al., 2011; Simonson et al., 2010; Wang et al., 2011; Xu et al., 2011; Yi et al., 2010).

Hypoxia inducible factor 2α(HIF2α, also calledEPAS1) and its negative regulatorEGLN1are considered key genes responsible for Tibetan adaptation (Lorenzo et al., 2014; Peng et al., 2017; Xiang et al., 2013). Compared with these two genes, other reported candidate genes show relatively less between-population divergence, implying that they are probably modifiers for high-altitude adaptation. One reported example is heme oxygenase-2 (HMOX2), with Tibetan-enriched adaptive mutations ofHMOX2shown to cause more efficient breakdown of heme during hemoglobin metabolism (Yang et al., 2016). However, the functional roles of other modifier genes are unknown. In addition, although we have a fundamental understanding of the genetic basis for Tibetan adaptation to high altitude, the studied genes thus far only explain a small part of the adaptive traits in Tibetans, highlighting the need for further genetic studies.

In reported genome-wide comparisons between Tibetans and Han Chinese, histone acetyltransferase p300 (EP300) is among the candidate genes showing signals of selection (Peng et al., 2011).EP300is located on human chromosome 22 (22q13.2), spanning about 88.9 kb with 31 exons (Eckner et al., 1994). It functions as a histone acetyltransferase regulating the transcription of genes by chromatin remodeling, and plays an essential role in regulating cell growth and division and promoting cell maturation and differentiation (Goodman & Smolik, 2000; Ogryzko et al., 1996).EP300is also a hypoxia switch, regulating hypoxia inducible factor 1α (HIF1α) transactivation through specific recognition and hydroxylation of asparagine (Anokhina & Buravkova, 2010; Liao & Johnson, 2007; Peng et al., 2011; Teufel et al., 2007). More importantly,EP300plays a role in the stimulation of hypoxia-induced genes, such as vascular endothelial growth factor (VEGF) (Gray et al., 2005; Teufel et al., 2007; Zhang et al., 2013). Furthermore, disruption ofEP300function can cause Rubinstein-Taybi syndrome, a condition characterized by short stature, moderate to severe intellectual disability, distinctive facial features, and broad thumbs and first toes, an indication of its functional importance (Negri et al., 2016; Solomon et al., 2015; Teufel et al., 2007).

To understand the potential role ofEP300in Tibetan adaptation to high altitude hypoxia, we resequenced the entire genomic region ofEP300. Neutrality tests suggested a signal of positive Darwinian selection onEP300in Tibetans. Genetic association analysis indicated the involvement ofEP300in regulating nitric oxide production.

MATERIALS AND METHODS

Tibetan samples andEP300resequencing

We resequenced a 108.9 kb genomic fragment of 47 unrelated Tibetan individuals, with sample details reported in previous study (Peng et al., 2011). We also obtained sequence data of the same gene region of 33 Tibetans from previously published genome sequencing (Lu et al., 2016). In total, we had sequencing data from 80 unrelated Tibetans.

Selection tests of candidate variants

From the resequencing data (108.9 kb) of 80 Tibetans, we obtained 250 sequence variants. For quality control, we removed variants showing a significant deviation from the Hardy-Weinberg Equilibrium (HWE<0.000 1) and variants with an excessive missing genotype rate (MGR>0.05). A total of 185 variants remained after the filtering process. Following the methodology of Weir & Cockerham (1984), locus specificFSTwas calculated between Tibetans and the three lowland reference populations from the 1000 Genomes Project, which included 103 Han Chinese (CHB), 99 Europeans (CEU), and 108 Africans (YRI). Tajima’sD-test was also performed to detect selection (Tajima, 1989).

For haplotype-based selection tests, the iHS score was calculated for each variant in Tibetans using selscan (Szpiech & Hernandez, 2014) based on the phased haplotypes, and only loci whose ancestral alleles were known with certainty were included (Voight et al., 2006). Additionally, XP-EHH analysis was used to detect the extended haplotypes resulting from positive selection (Sabeti et al., 2007). We computed XP-EHH scores using selscan (Szpiech & Hernandez, 2014) based on phased haplotypes of Tibetans and Han Chinese (reference population). The XP-EHH score of each variant was standardized by the mean XP-EHH and the standard deviation over the entire genome.

Functional prediction and expression quantitative trait loci (eQTL) analysis ofEP300candidate SNPs

Functional enrichment analyses of the candidate variants were performed using the Combined Annotation Dependent Depletion (CADD) database (http://krishna.gs.washington.edu/ download/CADD/v1.3/1000G_phase3_inclAnno.tsv.gz), which incorporates data from ENCODE and NIH Roadmap Epigenomics using ChromHMM (https://sites.google.com/site/ anshulkundaje/projects/epigenome roadmap#TOC-Core-Integrativechromatin-state-maps-127-Epigenomes-) (Ernst & Kellis, 2012).

We measured the evolutionary constraints of each variant using Genome Evolutionary Rate Profiling (GERP) (http://mendel. stanford.edu/SidowLab/downloads/gerp/). The GERP++ method was used to calculate site-specific RS scores and discover evolutionarily constrained elements (Davydov et al., 2010). Positive scores suggest evolutionary constraint, with higher scores indicating higher levels of evolutionary constraint.

The H3K4Me1 value indicates the maximum ENCODE H3K4 methylation level (maximum value observed across 16 ENCODE cell lines at a given position), where modification of histone proteins is suggestive of an enhancer and, to a lesser extent, other regulatory activities. The H3K4Me3 value indicates the maximum ENCODE H3K4 trimethylation level (maximum value observed across 16 ENCODE cell lines at a given position), where modification of histone proteins is suggestive of a promoter. The DNase-I hypersensitivity sites indicate chromatin regions hypersensitive to cutting by the DNase enzyme. In general, gene regulatory regions tend to be DNasesensitive, and promoters are particularly DNase-sensitive. DNase-P indicates theP-value (PHRED-scale) of DNaseevidence for open chromatin. The transcription factor binding site (TFBS) is indicated by the number of different overlapping ChIP transcription factor binding sites. It also defines the boundaries between active and heterochromatic DNA. Transcriptional repressor CTCF is a versatile transcription regulator involved in regulating the 3D structure of chromatin. In addition, splice site analysis indicates whether the tested variants are located in the ACCEPTOR or DONOR sequences.

The eQTL analysis for candidateEP300single nucleotide polymorphisms (SNPs) was conducted using publicly available datasets (Blood eQTL Browser: http://genenetwork.nl/ bloodeqtlbrowser/).

Measurements of physiological traits

Physiological data and blood samples were collected from 226 unrelated Tibetans permanently residing in Bange County (n=127, 37.41±3.8 years old) at an elevation of 4 700 m and Lhasa city (n=99, 35.33±6.8 years old) at an elevation of 3 600 m. Written informed consent was obtained from all participants. For physiological parameters, we determined the hemoglobin (Hb) concentration, arterial oxygen saturation (SaO2) level, and blood nitric oxide (NO) concentration, which are key adaptive physiological traits in Tibetans (Wu & Kayser, 2006).

The Hb concentration was measured using a HemoCue Hb 201+ analyzer (Angelholm, Sweden) and SaO2was measured from the forefinger tip with a hand-held pulse oximeter (Nellcor NPB-40, CA, USA) at rest. Venous blood was collected for Hb measurement and DNA extraction. To reveal the NO level in serum, predominant species NO2?and NO3?were measured using a nitric oxide analyzer (Sievers Model-280, GE Analytical Instruments, Boulder, CO, USA).

Genotyping and association analysis

We genotyped six candidate variants and conducted association analysis in 226 Tibetans. The variants were rs58268766, rs2076578, rs2076580, rs5758251, rs5758256, and rs2143694. Genotyping was conducted by the SNaPshot method on an ABI 3130 sequencer (Applied Bio-systems, Forster City, CA, USA). Genetic association analysis was conducted using PLINK 1.07 (Purcell et al., 2007). An additive genetic model was used because all tested variants were located in the non-coding region ofEP300and likely influenced gene expression. For multiple test correction, we performed 100 000 permutations.

RESULTS

Resequencing ofEP300in Tibetans and neutrality tests

We resequenced a 108.9 kbEP300genomic region, covering the 88.9 kb gene region as well as two 10 kb flanking regions upstream and downstream ofEP300. In total, we obtainedEP300sequencing data of 80 unrelated Tibetans.

We identified a total of 185EP300sequence variants among the 80 unrelated Tibetans. After comparing with three lowlander populations, including Han Chinese, Europeans, and Africans, there were 149 shared variants. The remaining 36 variants were all rare mutations in Tibetans (<1.0%). To detect selection signals of these variants, we performed neutrality tests, including both allele-frequency-based (FSTand Tajima’sD) and haplotype-based tests (iHS and XP-EHH). Consistent with previous research (Peng et al., 2011), we observed many variants showing above-genome-average divergence (FST>0.03) between Tibetans and Han Chinese. The highestFSTwas 0.14 for rs2076580. The derived allele at rs2076580 was predominant in Tibetans (76%), much higher than the frequencies in the lowland reference populations (48% in Han Chinese, 34% in Europeans, and only 3% in Africans). Consistently, in the haplotype-based XP-EHH test, we found 34EP300variants showing high scores (XP-EHH>0.2) (Supplementary Table S1). These high-XP-EHH variants were likely under positive Darwinian selection, and were located in a LD block spanning about 6 kb from intron-6 to the 3' flanking region (Figure 1). The allele-frequency-based Tajima’sD-test was not significant, likely due to its insensitivity to recent selection. Overall, compared with the reported strong selection onEPAS1andEGLN1(Peng et al., 2011; Xiang et al., 2013; Xu et al., 2011), the selection onEP300in Tibetans was relatively weak, consistent with a modifier role in genetic adaptation to high altitude.

Functional prediction and eQTL analysis of candidateEP300variants

With the detected signal of selection onEP300in Tibetans, the next question was what were the functional consequences of the variants under selection? We chose 34 candidate variants that showed high XP-EHH scores (>2.0), and except for two synonymous variants, most were non-coding. We performed functional prediction based on sequence conservation (GERP), transcription factor binding sites (TFBS), splicing motif, H3K4Me1/H3K4Me3 sites, and DNAase-I hypersensitive sites. There were 14 variants showing conserved sequences across species (GREP++ >5.0), an implication of functional constraint. In addition, multiple variants were located in the H3K4Me1/ H3K4Me3 sites, suggesting their potential involvement in enhancer or promoter activities (Supplementary Table S1).

We also performed eQTL analysis using published data (Blood eQTL Browser: http://genenetwork.nl/bloodeqtlbrowser/), and found that three candidate variants showed highly significant association with the expression ofEP300in blood (P=1.64×10-54for rs2076578,P=3.63×10-54for rs575825, andP=3.26×10-54for rs2143694), suggesting that these variants are probably involved in the expression regulation ofEP300. However, further experiments are needed to test their suggestive functions.

Genetic association analysis of candidateEP300variants with multiple physiological traits in Tibetans

To test whether the candidateEP300variants contributed to the adaptive traits in Tibetans, we collected data on three physiological parameters, including Hb, SaO2, and NO. A total of 226 unrelated adult Tibetans were included (91 males and 135 females from Lhasa and Bange, Tibetan Autonomous Region of China). Six candidate variants were selected based on theirFSTvalues and XP-EHH scores (FST>0.1 and XPEHH>2.0). As shown in Table 1, five of the six variants showed significant association with blood NO level when an additive genetic model was assumed (P<0.05, after multiple test corrections with permutations). The same result was observed when males and females were analyzed separately (Table 1),with no gender difference detected for average blood NO level. The presumably adaptive alleles were correlated with a decreased NO level and explained about 3% of NO variance. For example, the three genotypes at rs2076580 had NO levels of 61.53 μmol/L (GG genotype), 54.96 μmol/L (GA genotype), and 43.43 μmol/L (AA genotype), respectively, and each adaptive allele caused, on average, 15.8% decrease in NO in the blood (Figure 2). Hence, theEP300variants are likely involved in the regulation of blood NO production. In contrast, no association was detected for Hb or SaO2.

Figure 1 Information on 34 EP300 candidate variants

DISCUSSION

EP300is a candidate gene showing relatively deep allelic divergence between Tibetans and lowlanders (Peng et al., 2011). As previous data were obtained from DNA arrays with limitedEP300variant coverage, whetherEP300plays a role in Tibetan adaptation to high altitude has remained inconclusive. In this study, we resequenced the entireEP300gene region. In combination with published data, we showed thatEP300in Tibetans has undergone positive Darwinian selection.EP300acts as a transcriptional coactivator ofHIF1α, one of the most important hypoxic genes (Freedman et al., 2002; Gray et al., 2005; Lando et al., 2002). Functional prediction analysis suggested multipleEP300SNPs with potential functional effects. Hence, the function of selection onEP300is probably related to its role in the hypoxic pathway.

Importantly, we observed a significant association of many high XP-EHH variants with NO concentration. It has been proposed previously that high NO levels are an adaptive feature of Tibetans for high altitude living. Prior studies have shown that the NO levels of 88 Tibetans living at 4 300 m elevation were 10 times higher than those of 50 European-Americans living at 203 melevation (Beall, 2007; Levett et al., 2011). High NO levels would allow for better vasodilation and therefore better blood flow (Beall, 2007), which is an adaptive physiological trait observed in Tibetans. Enzymes eNOS and iNOS synthesize NO products in the body. They are encoded byNOS3andNOS2, respectively, and both contain hypoxia-responseelement (HRE) motifs in the gene promoter regions (Coulet et al., 2003; Melillo et al., 1995). In other words,NOS3andNOS2can be directly regulated byHIF1α andHIF2α. Therefore, the observed association ofEP300with blood NO level can be explained by the co-transactivating role ofEP300in expression regulation ofHIF1α and eventually its downstream genes, includingNOS3andNOS2. Notably, eNOS mainly functions in blood vessels (Matouk & Marsden, 2008). AsEP300works in histone modification (Goodman & Smolik, 2000; Ogryzko et al., 1996), whether the functional role ofEP300in high-altitude adaptation involves downstream gene regulation through chromatin remodeling is yet to be tested.

Table 1 Association of six EP300 variants with three physiological traits in Tibetans

Under hypoxic conditions, in addition to the pathway of stabilizing HIF with reduced PHD2 hydroxylation, the nitroso sulfation of the HIF element is also important (Foster et al., 2003), and NO is the key component of nitroso sulfation. It has been reported that hypoxia upregulates iNOS, and thereby increases NO products in tissues and cells, especially in the case of chronic hypoxia. NO helps create a blunted response to hypoxia by inhibiting the oxygen consumption of mitochondria and consequently provide more oxygen for PHDs to reduce the levels of HIF proteins caused by hypoxia (Won et al., 2007). Collectively, NO is not only involved in the process of blood flow control, but is also a regulator of blood oxygen utilization (Ho et al., 2012). As shown in our results, the adaptive alleles were associated with a decreased level of blood NO, which might serve as a protection measure for Tibetans from overproduction of NO, and might be similar to the relatively low hemoglobin concentrations observed in Tibetans (Beall et al., 2010).

In summary, we proved thatEP300has been under positive Darwinian selection, with a significant association with blood NO levels in Tibetans. These data suggest thatEP300likely contributes to Tibetan adaptation to high-altitude. However, further studies are needed to reveal the underlying molecular mechanism.

ACKNOWLEDGEMENTS

We are grateful to all the volunteers participated in this study.

Figure 2 NO levels of different genotypes of six EP300 variants in 226 Tibetans

REFERENCES

Anokhina EB, Buravkova LB. 2010. Mechanisms of regulation of transcription factor HIF under hypoxia.Biochemistry (Moscow),75(2): 151-158.

Beall CM. 2007. Two routes to functional adaptation: tibetan and Andean high-altitude natives.Proceedings of the National Academy of Sciences ofthe United States of America,104(S1): 8655-8660.

Beall CM, Cavalleri GL, Deng LB, Elston RC, Gao Y, Knight J, Li CH, Li JC, Liang Y, McCormack M, Montgomery HE, Pan H, Robbins PA, Shianna KV, Tam SC, Tsering N, Veeramah KR, Wang W, Wangdui P, Weale ME, Xu YM, Xu Z, Yang L, Zaman MJ, Zeng CQ, Zhang L, Zhang XL, Zhaxi PC, Zheng YT. 2010. Natural selection onEPAS1(HIF2α)associated with low hemoglobin concentration in Tibetan highlanders.Proceedings of the National Academy of Sciences of the United States of America,107(25):11459-11464.

Bigham A, Bauchet M, Pinto D, Mao XY, Akey JM, Mei R, Scherer SW, Julian CG, Wilson MJ, Herráez DL, Brutsaert T, Parra EJ, Moore LG, Shriver MD. 2010. Identifying signatures of natural selection in Tibetan and Andean populations using dense genome scan data.PLoS Genetics,6(9): e1001116.

Coulet F, Nadaud S, Agrapart M, Soubrier F. 2003. Identification of hypoxiaresponse element in the human endothelial nitric-oxide synthase gene promoter.Journal of Biological Chemistry,278(47): 46230-46240.

Davydov EV, Goode DL, Sirota M, Cooper GM, Sidow A, Batzoglou S. 2010. Identifying a high fraction of the human genome to be under selective constraint using GERP++.PLoS Computational Biology,6(12): e1001025.

Eckner R, Ewen ME, Newsome D, Gerdes M, Decaprio JA, Lawrence JB, Livingston DM. 1994. Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.Genes & Development,8(8): 869-884.

Ernst J, Kellis M. 2012. ChromHMM: automating chromatin-state discovery and characterization.Nature Methods,9(3): 215-216.

Foster MW, Mcmahon TJ, Stamler JS. 2003. S-nitrosylation in health and disease.Trends in Molecular Medicine,9(4): 160-168.

Freedman SJ, Sun ZYJ, Poy F, Kung AL, Livingston DM, Wagner G, Eck MJ. 2002. Structural basis for recruitment of CBP/p300 by hypoxiainducible factor-1α.Proceedings of the National Academy of Sciences of the United States of America,99(8): 5367-5372.

Goodman RH, Smolik S. 2000. CBP/p300 in cell growth, transformation, and development.Genes & Development,14(13): 1553-1577.

Gray MJ, Zhang J, Ellis LM, Semenza GL, Evans DB, Watowich SS, Gallick GE. 2005. HIF-1α,STAT3, CBP/p300 and Ref-1/APE are components of a transcriptional complex that regulates Src-dependent hypoxia-induced expression of VEGF in pancreatic and prostate carcinomas.Oncogene,24(19): 3110-3120.

Ho JJ, Man HSJ, Marsden PA. 2012. Nitric oxide signaling in hypoxia.Journal of Molecular Medicine,90(3): 217-231.

Lando D, Peet DJ, Whelan DA, Gorman JJ, Whitelaw ML. 2002. Asparagine hydroxylation of the HIF transactivation domain: a hypoxic switch.Science,295(5556): 858-861.

Levett DZ, Fernandez BO, Riley HL, Martin DS, Mitchell K, Leckstrom CA, Ince C, Whipp BJ, Mythen MG, Montgomery HE, Grocott MP, Feelisch M, Caudwell Extreme Everest Research Group. 2011. The role of nitrogen oxides in human adaptation to hypoxia.Scientific Reports,1: 109.

Liao D, Johnson RS. 2007. Hypoxia: a key regulator of angiogenesis in cancer.Cancer and Metastasis Reviews,26(2): 281-290.

“全面建成小康社會是我們的戰(zhàn)略目標，全面深化改革、全面依法治國、全面從嚴治黨是三大戰(zhàn)略舉措?！绷暯娇倳?012年2月在省部級主要領導干部專題研討開班會議上第一次對“四個全面”的邏輯關系進行了闡述，從習近平總書記的闡述中可以看出，全面從嚴治黨是對確保其他三個方面順利開展的保障。為了實現(xiàn)四個全面，更加需要中國共產(chǎn)黨發(fā)揮核心推動作用，領導全中國奮發(fā)前進。所以，全面從嚴治黨是四個全面的重要組成部分，是基礎與關鍵，也是推進“四個全面”戰(zhàn)略布局的根本保障，它適應了當前國內(nèi)外深刻變化的現(xiàn)實需要。[3]

Lorenzo FR, Huff C, Myllym?ki M, Olenchock B, Swierczek S, Tashi T, Gordeuk V, Wuren T, Ri-Li G, McClain DA, Khan TM, Koul PA, Guchhait P, Salama ME, Xing JC, Semenza GL, Liberzon E, Wilson A, Simonson TS, Jorde LB, Kaelin WG, Jr., Koivunen P, Prchal JT. 2014. A genetic mechanism for Tibetan high-altitude adaptation.Nature Genetics,46(9): 951-956.

Lu DS, Lou HY, Yuan K, Wang XJ, Wang YC, Zhang C, Lu Y, Yang X, Deng L, Zhou Y, Feng QD, Hu Y, Ding QL, Yang YJ, Li SL, Jin L, Guan YQ, Su B, Kang LL, Xu SH. 2016. Ancestral origins and genetic history of tibetan highlanders.The American Journal of Human Genetics,99(3): 580-594.

Matouk CC, Marsden PA. 2008. Epigenetic regulation of vascular endothelial gene expression.Circulation Research,102(8): 873-887.

Melillo G, Musso T, Sica A, Taylor LS, Cox GW, Varesio L. 1995. A hypoxiaresponsive element mediates a novel pathway of activation of the inducible nitric oxide synthase promoter.Journal of Experimental Medicine,182(6): 1683-1693.

Negri G, Magini P, Milani D, Colapietro P, Rusconi D, Scarano E, Bonati MT, Priolo M, Crippa M, Mazzanti L, Wischmeijer A, Tamburrino F, Pippucci T, Finelli P, Larizza L, Gervasini C. 2016. From whole gene deletion to point mutations ofEP300-positive Rubinstein-Taybi patients: new insights into the mutational spectrum and peculiar clinical hallmarks.Human Mutation,37(2): 175-183.

Ogryzko VV, Schiltz RL, Russanova V, Howard BH, Nakatani Y. 1996. The transcriptional coactivators p300 and CBP are histone acetyltransferases.Cell,87(5): 953-959.

Peng Y, Cui CY, He YX, Ouzhuluobu, Zhang H, Yang DY, Zhang Q, Bianbazhuoma, Yang LX, He YB, Xiang K, Zhang XM, Bhandari S, Shi P, Yangla, Dejiquzong, Baimakangzhuo, Duojizhuoma, Pan YY, Cirenyangji, Baimayangji, Gonggalanzi, Bai CJ, Bianba, Basang, Ciwangsangbu, Xu SH, Chen H, Liu SM, Wu TY, Qi XB, Su B. 2017. Down-regulation of EPAS1 transcription and genetic adaptation of tibetans to high-altitude hypoxia. Molecular biology and evolution.Molecular Biology and Evolution,34(4): 818-830.

Peng Y, Yang Z, Zhang H, Cui C, Qi X, Luo X, Tao X, Wu T, Ouzhuluobu, Basang, Ciwangsangbu, Danzengduojie, Chen H, Shi H, Su B. 2011. Genetic variations in Tibetan populations and high-altitude adaptation at the Himalayas.Molecular Biology and Evolution,28(2): 1075-1081.

Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC. 2007. PLINK: a tool set for whole-genome association and population-based linkage analyses.American Journal of Human Genetics,81(3): 559-575.

Sabeti PC, Varilly P, Fry B, Lohmueller J, Hostetter E, Cotsapas C, Xie XH, Byrne EH, McCarroll SA, Gaudet R, Schaffner SF, Lander ES, The International HapMap Consortium. 2007. Genome-wide detection and characterization of positive selection in human populations.Nature,449(7164): 913-918.

Simonson TS, Yang YZ, Huff CD, Yun HX, Qin G, Witherspoon DJ, Bai ZZ, Lorenzo FR, Xing JC, Jorde LB, Prchal JT, Ge RL. 2010. Genetic evidence for high-altitude adaptation in Tibet.Science,329(5987): 72-75.

Solomon BD, Bodian DL, Khromykh A, Mora GG, Lanpher BC, Iyer RK, Baveja R, Vockley JG, Niederhuber JE. 2015. Expanding the phenotypic spectrum in EP300-related Rubinstein-Taybi syndrome.American Journal of Medical Genetics. Part A,167(5): 1111-1116.

Szpiech ZA, Hernandez RD. 2014. Selscan: an efficient multithreaded program to perform EHH-based scans for positive selection.Molecular Biology and Evolution,31(10): 2824-2827.

Tajima F. 1989. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.Genetics,123(3): 585-595.

Teufel DP, Freund SM, Bycroft M, Fersht AR. 2007. Four domains of p300 each bind tightly to a sequence spanning both transactivation subdomains of p53.Proceedings of the National Academy of Sciences of the United States of America,104(17): 7009-7014.

Voight BF, Kudaravalli S, Wen XQ, Pritchard JK. 2006. A map of recent positive selection in the human genome.PLoS Biology,4(3): e72.

Wang BB, Zhang YB, Zhang F, Lin HB, Wang XM, Wan N, Ye ZQ, Weng HY,Zhang LL, Li X, Yan JW, Wang PP, Wu TT, Cheng LF, Wang J, Wang DM, Ma X, Yu J. 2011. On the origin of Tibetans and their genetic basis in adapting high-altitude environments.PLoS One,6(2): e17002.

Weir BS, Cockerham CC. 1984. Estimating F-statistics for the analysis of population structure.Evolution,38(6): 1358-1370.

Won D, Zhu SN, Chen M, Teichert AM, Fish JE, Matouk CC, Bonert M, Ojha M, Marsden PA, Cybulsky MI. 2007. Relative reduction of endothelial nitric-oxide synthase expression and transcription in atherosclerosis-prone regions of the mouse aorta and in aninvitromodel of disturbed flow.The American Journal of Pathology,171(5): 1691-1704.

Wu TY, Kayser B. 2006. High altitude adaptation in Tibetans.High Altitude Medicine & Biology,7(3): 193-208.

Xiang K, Ouzhuluobu, Peng Y, Yang ZH, Zhang XM, Cui CY, Zhang H, Li M, Zhang YF, Bianba, Gonggalanzi, Basang, Ciwangsangbu, Wu TY, Chen H, Shi H, Qi XB, Su B. 2013. Identification of a Tibetan-specific mutation in the hypoxic gene EGLN1 and its contribution to high-altitude adaptation.Molecular Biology and Evolution,30(8): 1889-1898.

Xu SH, Li SL, Yang YJ, Tan JZ, Lou HY, Jin WF, Yang L, Pan XD, Wang JC, Shen YP, Wu BL, Wang HY, Jin L. 2011. A genome-wide search for signals of high-altitude adaptation in Tibetans.Molecular Biology and Evolution,28(2): 1003-1011.

Yang DY, Peng Y, Ouzhuluobu, Bianbazhuoma, Cui CY, Bianba, Wang LB, Xiang K, He YX, Zhang H, Zhang XM, Liu JW, Shi H, Pan YY, Duojizhuoma, Dejiquzong, Cirenyangji, Baimakangzhuo, Gonggalanzi, Liu SM, Gengdeng, Wu TY, Chen H, Qi XB, Su B. 2016.HMOX2functions as a modifier gene for high-altitude adaptation in Tibetans.Human Mutation,37(2): 216-223.

Yi X, Liang Y, Huerta-Sanchez E, Jin X, Cuo ZXP, Pool JE, Xu X, Jiang H, Vinckenbosch N, Korneliussen TS, Zheng HC, Liu T, He WM, Li K, Luo RB, Nie XF, Wu HL, Zhao MR, Cao HZ, Zou J, Shan Y, Li SZ, Yang Q, Asan, Ni PX, Tian G, Xu JM, Liu X, Jiang T, Wu RH, Zhou GY, Tang MF, Qin JJ, Wang T, Feng SJ, Li GH, Huasang, Luosang JB, Wang W, Chen F, Wang YD, Zheng XG, Li Z, Bianba Z, Yang G, Wang XP, Tang SH, Gao GY, Chen Y, Luo Z, Gusang L, Cao Z, Zhang QH, Ouyang WH, Ren XL, Liang HQ, Zheng HS, Huang YB, Li JX, Bolund L, Kristiansen K, Li YR, Zhang Y, Zhang XQ, Li RQ, Li SG, Yang HM, Nielsen R, Wang J, Wang J. 2010. Sequencing of 50 human exomes reveals adaptation to high altitude.Science,329(5987): 75-78.

Zhang B, Day DS, Ho JW, Song LY, Cao JJ, Christodoulou D, Seidman JG, Crawford GE, Park PJ, Pu WT. 2013. A dynamic H3K27ac signature identifies VEGFA-stimulated endothelial enhancers and requires EP300 activity.Genome Research,23(6): 917-927.

24 March 2017; Accepted: 27 April 2017

s: This study was supported by grants from the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB13010000), the National Natural Science Foundation of China (91631306 to BS, 31671329 to XQ, 31460287 to Ou, 31501013 to HZ, and 31360032 to CC), the National 973 program (2012CB518202 to TW), the State Key Laboratory of Genetic Resources and Evolution (GREKF15-05, GREKF16-04), and the Zhufeng Scholar Program of Tibetan University

#Authors contributed equally to this work

*Corresponding authors, E-mail: sub@mail.kiz.ac.cn; qixuebin@mail.kiz.ac.cn DOI: 10.24272/j.issn.2095-8137.2017.036