The ADH1B Arg47His polymorphism in East Asian populations and expansion of rice domestication in history
BMC Evolutionary Biology
- Research article
Open Access
The ADH1B Arg47His polymorphism in East Asian populations and expansion of rice domestication in history
Yi Peng1, 4,
Hong Shi1,
Xue-bin Qi1,
Chun-jie Xiao2,
Hua Zhong3,
Run-lin Z Ma3 and
Bing Su1Email author
https://doi.org/10.1186/1471-2148-10-15
© Peng et al; licensee BioMed Central Ltd. 2010
Received: 15 July 2009
Accepted: 20 January 2010
Published: 20 January 2010
Abstract
Background
The emergence of agriculture about 10,000 years ago marks a dramatic change in human evolutionary history. The diet shift in agriculture societies might have a great impact on the genetic makeup of Neolithic human populations. The regionally restricted enrichment of the class I alcohol dehydrogenase sequence polymorphism (ADH1BArg47His) in southern China and the adjacent areas suggests Darwinian positive selection on this genetic locus during Neolithic time though the driving force is yet to be disclosed.
Results
We studied a total of 38 populations (2,275 individuals) including Han Chinese, Tibetan and other ethnic populations across China. The geographic distribution of the ADH1B*47His allele in these populations indicates a clear east-to-west cline, and it is dominant in south-eastern populations but rare in Tibetan populations. The molecular dating suggests that the emergence of the ADH1B*47His allele occurred about 10,000~7,000 years ago.
Conclusion
We present genetic evidence of selection on the ADH1BArg47His polymorphism caused by the emergence and expansion of rice domestication in East Asia. The geographic distribution of the ADH1B*47His allele in East Asia is consistent with the unearthed culture relic sites of rice domestication in China. The estimated origin time of ADH1B*47His allele in those populations coincides with the time of origin and expansion of Neolithic agriculture in southern China.
Keywords
- Lactase
- Fetal Alcohol Syndrome
- HapMap Project
- East Asian Population
- Lactase Persistence
Background
The major diet shift in recent human history was caused by domestication of plants and animals[1]. During human evolution, diet shifts may create different selective pressures acting on the genetic variations of human populations. Two well-studied examples are the copy number variation of amylase gene for starchy food and the regulatory sequence variations of lactase for milk [2–4]. In southern China, the earliest agriculture started to flourish due to the domestication of rice about 10,000 years ago [5]. Hence, like the amylase gene selected for high copy numbers in agricultural societies including East Asia, the rice-culture-related selection could have been acting on populations living in southern China. Rice has been used as the material to produce fermented food and beverages for a long time in southern China since early Neolithic time. The fermentation helps to preserve and enhance the nutritional value of foods and beverages[6]. However, alcohol can lead to addiction and cause damages to human bodies, including nervous system dysfunction, tumor genesis, innate immune system modulation and fetal alcohol syndrome [7–11]. Therefore, genes involved in the ethanol metabolic pathway might become the target of selection when the ethanol-containing food and beverages had been routinely consumed by Neolithic populations in southern China.
The Class I alcohol dehydrogenase (ADH) is the major enzyme that catalyzes alcohol to acetaldehyde in liver. The Class I ADH genes (ADH1A, ADH1B, and ADH1C) encode three subunits of Class I ADH isoenzymes, i.e. α, β and γ. The well studied sequence polymorphism, ADH1BArg47His (rs1229984) is located in ADH1B. The change of amino acid from Arg to His causes enzymatic activity alteration. The derived allele, ADH1B*47His, changes the pKa of the enzyme from 8.5 to 10.0 which is associated with 40 to 100 fold increase in Km and Vmax of alcohol metabolism [12, 13]. A global investigation of the ADH1B*47His allele frequency shows a strong geographic distribution. It is dominant in East Asian populations, but rare in European and African populations[14]. The molecular signature of positive selection on ADH1B have been reported [15, 16], and the culture-related selective forces were proposed [17] though no correlation with rice domestication has been tested. We hypothesize that the emergence and expansion of rice domestication during Neolithic time is the driving force, leading to the current regional distribution of the ADH1BArg47His polymorphism in East Asia.
Results
ADH1B*47His allele frequency in East Asian populations
Table 1
The distribution of the ADH1B*47His allele in the 38 East Asian populations.
Population | Long. (E) | Lat. (N) | Sample Size | Language | ADH1B*47His Frequency (%) |
---|---|---|---|---|---|
| 679 | 66.7 | |||
Jilin | 125 | 44 | 14 | Han | 50 |
Gansu | 105 | 36 | 174 | Han | 59.8 |
Shanxi | 112 | 37.5 | 44 | Han | 61.4 |
Shannxi | 108 | 34.5 | 52 | Han | 62.5 |
Shandong | 120 | 37 | 90 | Han | 63.3 |
Henan | 112 | 34 | 56 | Han | 64.3 |
Anhui | 118 | 33 | 34 | Han | 66.2 |
Liaonin | 124 | 42 | 28 | Han | 67.9 |
Hubei | 113 | 30 | 41 | Han | 70.7 |
Jiangsu | 119 | 34 | 24 | Han | 70.8 |
Guangxi | 109 | 24 | 9 | Han | 72.2 |
Guizhou | 107 | 28 | 61 | Han | 75.4 |
Hunan | 110 | 27.5 | 20 | Han | 82.5 |
Zhejiang | 121 | 30 | 32 | Han | 98.5 |
| 1088 | 14.1 | |||
Shannan | 92 | 29 | 34 | Tibeto-Burman | 11.8 |
Dangxiong | 91 | 30.5 | 816 | Tibeto-Burman | 13.1 |
Changdou | 97 | 31 | 56 | Tibeto-Burman | 14.3 |
Rikaze | 89 | 29 | 55 | Tibeto-Burman | 16.4 |
Qinghai | 96 | 33 | 127 | Tibeto-Burman | 20.5 |
| 100 | 23.5 | 30 | Austro-Asiatic | 1.7 |
| 105 | 13 | 17 | Austro-Asiatic | 20.6 |
| 102.5 | 23 | 30 | Tibeto-Burman | 41.7 |
| 100 | 25.5 | 30 | Tibeto-Burman | 50 |
| 101.5 | 24.5 | 30 | Tibeto-Burman | 55 |
| 109 | 30 | 31 | Tibeto-Burman | 66.1 |
| 100 | 23.5 | 30 | Daic | 43.3 |
| 108 | 25 | 15 | Daic | 60 |
| 106.5 | 26 | 45 | Daic | 63.3 |
| 108 | 26 | 11 | Daic | 66.7 |
| 108 | 23 | 33 | Daic | 72.7 |
| 106 | 27 | 10 | Daic | 75 |
| 109 | 24 | 12 | Daic | 75 |
| 58 | 65.5 | |||
Hunan | 110 | 27.5 | 42 | Daic | 64.3 |
Guangxi | 109 | 26 | 16 | Daic | 68.7 |
| 111 | 25 | 58 | Hmong-Mien | 64.7 |
| 109 | 26 | 29 | Hmong-Mien | 70.7 |
| 118 | 27 | 12 | Hmong-Mien | 91.7 |
| 125 | 42.5 | 27 | Altai | 66.7 |
Selection on the ADH1B gene
The EHH and REHH of the major core haplotypes (≥9%) are plotted against the distance away from the core for the JPT+CHB population (Figure. 2). The EHH of the CTTCG core haplotype decays more slowly than that of the other core haplotype (containing the ancestral variant ADH1B*47Arg) does. In addition, the upstream REHH value of the CTTCG is 17.329 (P = 0.01, by using 1-NORMSDIST). Again, this result is highly consistent with the previous studies, in which the molecular signature of selection was suggested in a wider genomic region containing the ADH1B locus among East Asian populations[15, 17]. The selection on ADH1B was also reported previously when the global populations were screened[16]. Additionally, a strong signature of positive selection was detected for the ADH gene cluster in a genome-wide analysis[19]. Collectively, the distribution of ADH1B*47His allele frequency in the populations studied cannot be explained by random genetic drift, and recent selection needs to be invoked.
The time of selection
Table 2
Estimated allele ages for ADH1B*47His.
| |||||
---|---|---|---|---|---|
|
|
| G | A |
|
| |||||
rs4147531 | -27122 | 0.011537 | 80.95 | 89.86 | 164,811 |
rs1229966 | -25886 | 0.009885 | 66.67 | 89.86 | 91,782 |
rs12507573 | -12995 | 0.007675 | 80.95 | 89.86 | 247,742 |
rs1042026 | -10853 | 0.007588 | 66.67 | 89.86 | 119,567 |
rs17033 | -10374 | 0.007568 | 80.95 | 89.86 | 251,245 |
rs2066701 | -906 | 0.007073 | 66.67 | 89.86 | 128,272 |
rs2075633 | -321 | 0.007021 | 66.67 | 89.86 | 129,222 |
|
| ||||
| |||||
rs1159918 | 3690 | 0.007325 | 33.33 | 98.55 | 7,494 |
rs9307239 | 7618 | 0.053403 | 47.62 | 86.96 | 13,406 |
rs2213041 | 8032 | 0.054139 | 90.48 | 98.55 | 7,621 |
rs1789891 | 11100 | 0.055169 | 90.48 | 98.55 | 7,479 |
rs1789982 | 11339 | 0.055228 | 90.48 | 98.55 | 7,470 |
rs2173201 | 11651 | 0.055302 | 38.10 | 85.51 | 12,059 |
rs1154433 | 14389 | 0.056568 | 90.48 | 98.55 | 7,294 |
rs1229978 | 16880 | 0.056640 | 90.48 | 98.55 | 7,284 |
rs2298753 | 18588 | 0.056670 | 90.48 | 98.55 | 7,281 |
rs1614972 | 18838 | 0.056678 | 38.10 | 85.51 | 11,765 |
rs1789898 | 19017 | 0.056679 | 90.48 | 98.55 | 7,280 |
rs1662060 | 20522 | 0.056693 | 90.48 | 98.55 | 7,279 |
|
|
Discussion
Having established that the rice culture is likely the driving force of selection on the ADH1BArg47His polymorphism, the left question would be to explain the selective advantage of the ADH1B*47His allele. In southern China, people began to make fermented beverages long time ago. The potential benefits of having fermented beverage (or foods) can be explained by ethanol's combined analgesic, disinfectant and profound mind-altering effects[26]. In addition, fermentation helps to preserve and enhance the nutritional value of foods and beverages. Chemical analyses of ancient organics absorbed into pottery jars suggests that the earliest production of rice fermentation was carried out by the Neolithic people who lived in southern China about 9,000 years ago[6], not long after the origin of rice domestication in the same region. We believe that the custom could have prevailed rapidly among those early-agriculture populations in southern China during the Neolithic time, which have lasted thousands of years.
The ADH I has a low Km for ethanol, found in the liver, which metabolizes the most part of ethanol in the body. The derived ADH1B*47His allele is known to metabolize ethanol up to 100 times quicker than the ancestral ADH1B*47Arg allele, providing support that quick eradication of ethanol, and therefore lower local exposure should be protective. The recent case-control studies also suggested that the ADH1B*47His allele is the protective variant [27–30]. The higher metabolic rate of ADH1B*47His may also lead to the accumulation of the toxic aldehyde intermediate that has been commonly associated with the flushing phenotype[31]. An association study in Han Chinese indicates that the individuals carrying ADH1B*47His have the lowest risk for alcoholism[32]. It was suggested that the flushing phenotype is biochemically equivalent to the effects of disulfiram (a drug used to prevent relapse)[33], which can influence drinking behaviour as a way of protection from over consumption of alcohol. It can also protect against the damage to human bodies caused by alcohol consumptions.
Conclusion
In summary, we provide a plausible explanation about the high frequency of the derived ADH1B*47His allele in East Asia. The distribution of the derived ADH1B*47His allele in East Asia can be well explained by the origin and expansion of the Neolithic rice culture, which is so far one of the few cases demonstrating the genetic adaptation of human populations to the dramatic change during Neolithic time. The ethanol intake increased with the origin of rice agriculture in southern China creates a selective pressure on the Neolithic populations, which is similar with the convergent adaptation of human lactase persistence in Africa and Europe along with the emergence of Neolithic cattle farming[4].
Methods
Samples
In this study, a total of 2,275 unrelated samples were collected from 38 populations (Table 1 and Figure 1). The Han Chinese samples were collected from individuals in 14 provincial areas whose geographic origins were assigned according to the birthplaces of their four grandparents, covering the major geographic regions in China. The other ethnic populations were sampled from south-western China and Qinghai-Tibet plateau where about 80% Chinese ethnic populations live with inhabited histories longer than 3,000 years[34]. All the samples were collected with informed consent. The protocol of this study was approved by the institutional review board of Kunming Institute of Zoology, Chinese Academy of Sciences.
Markers and Genotyping
Initially all the samples were genotyped for the ADH1BArg47His polymorphism (rs1229984). For genotyping by PCR-RFLP, we designed primers (forward primer, 5'FAM-GATTAGTAGCAAAACCCTCAAATAC-3'; reverse primer, 5'-CTAACCATGTGGTCATCTGCG-3') to cover this region. The restriction endonuclease used is Hin61 (Fermentas Life Sciences). The two contiguous microsatellites (CATA repeats and ATTC repeats) are from the UCSC Genome Database, located on Chr: 4 100471833-1889 and Chr: 4 100423654-3678. Both the microsatellite and the SNP genotyping were carried out by using an ABI 3130 sequencer, and the data was analyzed by using Genemapper software version 3.1 (Applied Biosystems). For haplotype analysis, we used the data from HapMap (Phase2.1)[35].
Test of Recent Selection
We used the iHS statistics[19] to detect recent positive selection. The obtained iHS value for the candidate SNP(rs1229984) and the empirical P-value for ADH1B were calculated by using Haplotter[19]. The extended haplotype homozygosity (EHH) and the relative EHH (REHH)[18] were examined by the Sweep program, using the phased haplotype data set (CHB+JPT) from the HapMap project.
Allele Age Estimation
Allele age calculations are conducted by the standard methods published previously[24, 25, 36]. In brief: t = [1/ln(1-c)]ln [(x(t)-y)/(1-y)], where t = allele age (in generations), c = recombination rate, x(t) = frequency in generation t, and y = frequency on ancestral chromosomes. We assume the origin of the ADH1B*47His allele is on the background of the ancestral allele haplotype, and the calculation utilizes the value of c, determined from the HapMap project recombination rate database http://hapmap.ncbi.nlm.nih.gov/downloads/recombination/latest/rates/. It should be noted that the East Asian samples from the HapMap are non-family data, therefore, limiting the estimation of recombination rates in these populations. Two types of polymorphism data have been used in our analysis. The phased haplotypes (CHB) containing a 45 Kb fragment, which includes 32 SNPs and covers the ADH1BArg47His polymorphism site, is obtained from the HapMap project website http://www.hapmap.org, and the microsatellites data is collected from the randomly selected 598 individuals. For conversion of time in generations, t, into time in years, a generation time of 25 years is assumed.
Declarations
Acknowledgements
We are grateful to all the voluntary donors of DNA samples in this study. We thank Hui Zhang and Yan-jiao Li for their technical help. We also thank Dr. Darren Curnoe for his critical reading of the manuscript. This study was supported by grants from the National 973 project of China (2007CB947701,2007CB815705), the Chinese Academy of Sciences (KSCX1-YW-R-34, Westlight Doctoral Program), the National Natural Science Foundation of China (30525028, 30700445, 30630013 and 30771181), and the Natural Science Foundation of Yunnan Province of China (2007C100M, 2009CD107).
Authors’ Affiliations
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