Chinese Holstein Cattle Shows a Genetic Contribution from Native Asian Cattle Breeds: A Study of Shared Haplotypes and Demographic History

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1048 Asian-Aust. J. Anim. Sci. Vol. 24, No. 8 : 1048-1052 August 2011 www.ajas.info doi: 10.5713/ajas.2011.10461 Chinese Holstein Cattle Shows a Genetic Contribution from Native Asian Cattle Breeds: A Study of Shared Haplotypes and Demographic History Miro Ferreri 1, Jian Gao 1, Zhi Wang 1,2, Liben Chen 1, Jingliang Su 1 and Bo Han 1, * 1 College of Veterinary Medicine, China Agricultural University, No.2 Yuan Ming Yuan West Road, Haidian District, 100193 Beijing, China ABSTRACT : The Chinese Holstein cattle breed, an introduced breed in China, has been crossbred with native cattle breeds. We hypothesised that the Chinese Holstein local population in Beijing share haplotypes with native Asian cattle breeds, the result of a sudden population expansion in the recent past. We also hypothesised that crossbreeding and population expansion left traces that shaped the genetic makeup of the breed. Evaluation of this was performed by mitochondrial DNA (mtdna) sequence analysis of Chinese Holstein cattle from Beijing (n = 41) and a comparison of them with the published mtdna sequences (n = 293) of 14 Asian breeds with an emphasis on Chinese native cattle breeds. Three shared common haplotypes between Chinese Holstein cattle and native Asian cattle were found. Moreover, a high level of haplotype diversity in Chinese Holstein cattle (h = 0.9557) and low nucleotide diversity (π = 0.0052) was found, indicating a past population bottleneck followed by rapid population growth. These findings are supported by the significantly negative deviation of Tajima s D (-1.82085), the star-like pattern of dominant haplotypes and the pairwise mismatch distribution analysis, which showed a unimodal pattern. (Key Words : Chinese Holstein Cattle, Native Asian Cattle, Mitochondrial DNA, Demographic History, Mismatch Distribution) INTRODUCTION China s role in international dairy markets has grown significantly in the last 15 years (Fuller et al., 2006), and domestic production is projected to continue to increase (Dong, 2006). This economic and production growth is the reason that China's dairy cattle population has increased in the recent past. To increase milk production, several new breeds were introduced to expand China s native dairy cattle gene pool of 28 described breeds (Qiu et al., 1988). It was previously reported that the Chinese Holstein cattle breed, an introduced breed from Canada, the USA, France and northern Europe, has been crossbred with Chinese native cattle (Liu et al., 2002). The contribution of native Asian cattle breeds to the genetic diversity and makeup of Chinese Holstein cattle is * Corresponding Author : Bo Han. Tel: +86-10-62733801, Fax: +86-10-62737865, E-mail: hanbo@cau.edu.cn 2 College of Animal Science and Medicine, Inner Mongolia Agricultural University, No.306 Zhao Wu Da Road, 010018 Hohhot, Inner Mongolia, China. Received December 25, 2010; Accepted April 8, 2011 unknown. Because understanding the population genetic structure of Chinese Holstein cattle is essential in developing effective strategies for dairy management, we conducted a demographic history study of the breed. We used mitochondrial DNA (mtdna) as a trace marker because of its maternal inheritance; it has a faster evolutionary rate compared to nuclear DNA and lacks intermolecular genetic recombination. Mitochondrial DNA has been widely used for studying population structure, phylogeography and phylogenetic relationships at various taxonomic levels (Avise, 2000). The mtdna displacement loop (D-loop) has been used extensively to evaluate intraspecies variation of Asian cattle breeds (Mannen et al., 2004; Lai et al., 2006; Jia et al., 2007). As intraspecies relationships, in contrast to interspecies relationships, are not hierarchical (Posada and Crandall, 2001), we used a network instead of a phylogenetic tree. The advantage of a network is that conflicts among different sites can be revealed. Our general assumptions were that the studied Beijing population differed in mtdna sequence composition and shared haplotypes with native Asian cattle breeds. Based on

Ferreri et al. (2011) Asian-Aust. J. Anim. Sci. 24(8):1048-1052 1049 these assumptions, our aims were the following: i) assess which native breeds contributed to the Chinese Holstein mtdna diversity, ii) display possible ancestral haplotypes and iii) reveal the demographic history of the introduced breed. MATERIAL AND METHODS Sample and data collection Blood samples (n = 41) were collected by tail-vein puncture from one dairy farm in Beijing (China) and stored in EDTA. Some sequences used had been previously described by us and deposited in GenBank under the accession numbers HM637893-HM637905. Additional haplotypes, obtained through this study, were deposited under the accession numbers HQ115743-HQ115755. Data mining for additional D-loop sequences in Asian cattle breeds was performed on the NCBI nucleotide database, with emphasis on native Chinese cattle (n = 293). A table of all sequences, with their accession numbers, is available upon request. Mitochondrial DNA sequence analysis Extraction of DNA was performed with the TIAamp Blood DNA Kit (Tiangen Biotech, Co., Ltd., Beijing) according to the manufacturer's protocol. The primer pair used for specific amplification (5 -CTGCAGTCTC ACCATCAACC-3 and 5 -GATTATAGAACAGGC TCCTC-3 ) was generated with Primer Premier v.6.0 (Singh et al., 1998). PCR reactions were carried out in 50-μl reaction volumes with 1 min denaturation at 95 C, followed by 35 cycles of 1 min at 94 C, 1 min at 60 C, 30 s at 72 C and finally extension for 10 min at 72 C. The products were purified and sequenced on an ABI 3730 automated sequencer at Beijing Sunbiotech Inc., Beijing. The obtained chromatographic sequences were verified by eye and aligned using the program ClustalW (Larkin et al., 2007). The program DNAsp v.5 (Librado and Rozas, 2009) was used to analyse the alignment and compute haplotype (h) (Nei, 1987) and nucleotide (π) (Nei and Tajima, 1981) diversity. The median network was computed by TCS 1.21 (Clement et al., 2000) using equations as defined previously (Templeton et al., 1992). Distribution analyses Pairwise mismatch distribution analyses of haplotypes (Rogers and Harpending, 1992), computed under a population growth decline model in DnaSP v.5.0 (Librado and Rozas, 2009), were used to determine whether the Chinese Holstein cattle breed had undergone a sudden population expansion. In this analysis, multimodal distributions corresponded to demographic stability, while sudden expansion generated a unimodal pattern (Slatkin, 1991; Rogers and Harpending, 1992). The historical demographic pattern of studied taxa was examined using neutrality tests and mismatch distribution analysis (Fu, 1997; Tajima, 1989). Coalescent-based Tajima s D was calculated to test for selective neutrality (Tajima, 1989). RESULTS Mitochondrial sequence analysis and haplotype network Intrapopulation diversity indices revealed high levels of haplotype diversity in Chinese Holstein cattle (h = 0.9557) and low nucleotide diversity (π = 0.0052). The average number of nucleotide differences (k) was 3.695. This indicates a population bottleneck followed by rapid population growth (Avise, 2000). In the entire dataset (n = 334), we identified 159 haplotypes. A minimum spanning network was applied to discover shared haplotypes between the Beijing population and other Chinese native cattle plus Korean and Japanese breeds (Figure 1). The partial data set (n = 63) revealed 26 haplotypes found in 41 individuals of Chinese Holstein cattle from Beijing and 22 individuals from other Asian breeds as indicated in Figure 1 as Hap1-3. Of these 22 haplotype-sharing individuals, 19 were from native Chinese breeds, two were from a Korean breed (Hanwoo) and one was from a Japanese breed (Mishima). We found that Hap1-3 were the numerically prominent haplotypes (these accounted for 43.75% of the sequences), and almost all single haplotypes corresponded to one of these main haplotypes by a single or few mutations. Moreover, Hap1 and Hap2 (present in seven and nine breeds, respectively) are the numerical dominating haplotypes. The Table 1 provides the accession numbers of all individuals which share haplotypes with the Chinese Holstein cattle. Demographic history Tajima s D, which measures the disparity between the number of segregating sites and the pairwise genetic distance, resulted in negative values for both datasets. The entire D-loop dataset (n = 334) was not significant (Tajima's D: -0.56246), meaning that there is no indication for nonneutral evolution. In contrast, Tajima s D for the Beijing data set (n = 63), showed a significant result (-1.82085; p< 0.05). Significant negative D statistics can be interpreted as the signature of a population change in the past, consistent with the population expansion model (Tajima, 1989). Applied mismatch distribution analysis with the D-loop sequences for the whole dataset displayed a bimodal pattern with two peak signals (Figure 2A). In contrast, the studied population alone with shared haplotypes displayed a unimodal, slightly bell-shaped curve (Figure 2B). The observed bimodal distribution pattern suggests that the samples originated from populations at demographic

1050 Ferreri et al. (2011) Asian-Aust. J. Anim. Sci. 24(8):1048-1052 Figure 1. Median-joining network based on the mitochondrial D-loop region (706 bp). Median-joining haplotype network of n = 63 Bos taurus individuals from 14 Asian cattle breeds and the introduced Chinese Holstein cattle breed revealed three shared haplotypes that are numerically dominant. Each circle represents a different haplotype with the size proportional to their relative frequency. Table 1. Accession numbers of all individuals from native Asian cattle breeds which share haplotypes with the Chinese Holstein cattle Shared haplotypes Accession number Breed Hap1 AY119673 Qinchuan DQ166083 Qinchuan AB117077 Mongolian AB117076 Mongolian AY521076 Anxi AY115525 Nanyang DQ166101 Nanyang DQ344962 Xuanhan AY521121 Wannan AY521101 Jinnan AB177788 Mishima Hap2 DQ166051 Kazakh DQ166049 Kazakh DQ166052 Kazakh DQ166088 Qinchuan DQ344948 Luxi DQ166061 Yanbian AY515626 Liping AB117058 Han Woo AB117044 Han Woo Hap3 DQ344929 Bohai DQ166071 Bohai The shared haplotypes are numbered as indicated in Figure 1 from Hap1-Hap3. equilibrium, whereas the unimodal distribution pattern suggests that the samples originated from a population following a recent demographic and range expansion (Rogers and Harpending, 1992; Ray et al., 2003). DISCUSSION The Chinese Holstein cattle population from Beijing showed a high level of haplotype diversity (h = 0.9695) and low nucleotide diversity (π = 0.0052) for the D-loop region. This genetic variation pattern was largely similar to the haplotype diversity of native Chinese cattle, but exhibited a lower nucleotide diversity in comparison with former studies (Lei et al., 2006; Cai et al., 2010). To explain the maintenance of high haplotypic diversity within populations, several scenarios have been proposed, including: large population size, environmental heterogeneity, and life history traits that favour rapid population expansion (Nei, 1987). Large population size, thought to be responsible for extraordinarily high levels of genetic diversity (Avise et al., 1998) and high haplotypic diversity, suggests a large, stable and effective population size over time (Stepien, 1999). The pattern of genetic variability with high haplotypic diversity, but low nucleotide diversity in the mtdna D-loop region might imply that the population experienced expansion after the bottleneck (Slatkin and Muirhead, 1999). One explanation could be that in the past 30 years, the economic growth and the change of consumer behaviour led to an increase in the Chinese Holstein cattle population. The star-like structure of the minimum spanning

Ferreri et al. (2011) Asian-Aust. J. Anim. Sci. 24(8):1048-1052 1051 Figure 2. Mismatch distribution of observed mitochondrial D-loop frequencies compared to the expected frequencies for population sizes. A) The shared haplotype set includes 41 Chinese Holstein cattle from Beijing and 23 haplotypes from native Asian cattle breeds with shared haplotypes showing a unimodal distribution pattern. B) The entire dataset (n = 334) includes 293 individuals from 26 native Asian breeds and 41 individuals from Chinese Holstein cattle and shows a multimodal pattern. network demonstrates that most variants of haplotypes surrounding the central haplotype (Hap1). This pattern suggests that most haplotypes originated recently and is indicative of a population expansion during the recent history of the species (Richards et al., 1998). Furthermore, the numerical dominance of Hap1 and Hap2 (present in seven and nine breeds, respectively) suggests that it is ancestral, or plesiomorphic. This is similar to reports of other mammalian domesticated species (Chen et al., 2006; Liu, 2006). Moreover, this star-like structure can be explained by the introduction of the Chinese Holstein cattle breed to China in the recent past. Population demographic expansion leads to star-like genealogies (Slatkin, 1991), an excess of rare mutations, and unimodal mismatch distributions (Rogers and Harpending, 1992). Population range expansion, however, can lead to the same molecular signature as population demographic expansion if the migration rate between subpopulations is large (Ray et al., 2003). Therefore, both demographic and range expansion might have had an effect on the genetic diversity pattern of Chinese Holstein cattle. In addition, Tajima s D for the studied population with shared haplotypes (n = 63) showed a significantly negative deviation of D (-1.82085; p<0.05) and indicates a population change in the past (Tajima, 1989). The mismatch analysis produced a unimodal distribution of pairwise differences for the shared haplotype set. In contrast, the entire dataset showed a multimodal distribution of pairwise differences (Figure 1). In general, an unimodal mismatch distribution indicates a recent range expansion; a multimodal (including bimodal) mismatch distribution indicates diminishing population sizes or structured size; and a ragged distribution suggests that the lineage was widespread (Excoffier et al., 1992; Rogers and Harpending, 1992; Rogers et al., 1996; Excoffier and Schneider, 1999). The unimodal distribution pattern suggests that the samples originated from a population following a recent demographic and range expansion (Rogers and Harpending, 1992; Ray et al., 2003). The multimodal distribution may also indicate that the population is influenced by migration, is subdivided, and/or has undergone historical contraction (Marjoram and Donnelly, 1994; Bertorelle and Slatkin, 1995; Ray et al., 2003). Graphs of the mismatch distribution demonstrate a significant unimodal distribution indicating expansive population growth for all lineages. In conclusion, these results indicate that a considerable number of Chinese Holstein cattle are descendants from native Chinese cattle breeds. This is similar to a former study from Japan that showed that Japanese Holstein cows are partly descended from native Japanese cows (Tsuji et al., 2004). Based on the significantly negative deviation of Tajima s D value, the unimodal mismatch distribution, the high h and the low π, the current study suggests that the Chinese Holstein cattle breed has experienced a recent rapid population expansion. ACKNOWLEDGEMENTS This work was supported by the Natural Scientific Funds of China by NSFC projects No.30771594 and No.30972230 and Yangtze River Scholar and Innovation Research Team Development Program (No.IRT0945). REFERENCES Avise, J. C. 2000. Phylogeography. Harvard University Press, London: p. 447. Avise, J. C., D. Walker and G. C. Johns. 1998. Speciation durations and Pleistocene effects on vertebrate phylogeography. Proc. Biol. Sci. 265(1407):1707-1712. Bertorelle, G. and M. Slatkin. 1995. The number of segregating sites in expanding human populations, with implications for estimates of demographic parameters. Mol. Biol. Evol. 12(5):887-892. Cai, X., H. Chen and C. Lei. 2010. Matrilineal genetic inter-

1052 Ferreri et al. (2011) Asian-Aust. J. Anim. Sci. 24(8):1048-1052 introgression of Bos taurus and Bos indicus in China. Livest. Sci. 128:12-19. Chen, S. Y., Z. Y. Duan, T. Sha, J. Xiangyu, S. F. Wu and Y. P. Zhang. 2006. Origin, genetic diversity, and population structure of Chinese domestic sheep. Gene 376:216-223. Clement, M., D. Posada and K. A. Crandall. 2000. TCS: a computer program to estimate gene genealogies. Mol. Ecol. 9(10):1657-1659. Dong, F. 2006. The outlook for Asian dairy markets: The role of demographics, income, and prices. Food Policy 31:260-270. Excoffier, L and S. Schneider. 1999. Why hunter-gatherer populations do not show signs of pleistocene demographic expansions. Proc. Natl. Acad. Sci. USA 96(19):10597-10602. Excoffier, L., P. E. Smouse and J. M. Quattro. 1992. Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131(2):479-491. Fu, Y. X. 1997. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics 147(2):915-925. Fuller, F., J. Huang, H. Ma and S. Rozelle 2006. Got milk? The rapid rise of China s dairy sector and its future prospects. Food Policy 31(4):201-215. Jia, S., H. Chen, G. Zhang, Z. Wang, C. Lei, R. Yao and X. Han. 2007. Genetic variation of mitochondrial D-loop region and evolution analysis in some Chinese cattle breeds. J. Genet. Genomics 34(6):510-518. Lai, S. J., Y. P. Liu, Y. X. Liu, X. W. Li and Y. G. Yao. 2006. Genetic diversity and origin of Chinese cattle revealed by mtdna D-loop sequence variation. Mol. Phylogenet. Evol. 38(1):146-154. Larkin, M. A., G. Blackshields, N. P. Brown, R. Chenna, P. A. McGettigan, H. McWilliam, F. Valentin, I. M. Wallace, A. Wilm, R. Lopez, J. D. Thompson, T. J. Gibson and D. G. Higgins. 2007. Clustal W and Clustal X version 2.0. Bioinformatics 23(21):2947-2948. Lei, C. Z., H. Chen, H. C. Zhang, X. Cai, R. Y. Liu, L. Y. Luo, C. F. Wang, W. Zhang, Q. L. Ge, R. F. Zhang, X. Y. Lan and W. B. Sun. 2006. Origin and phylogeographical structure of Chinese cattle. Anim. Genet. 37(6):579-582. Librado, P. and J. Rozas. 2009. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25(11):1451-1452. Liu, Y. P., G. S. Wu, Y. G. Yao, Y. W. Miao, G. Luikart, M. Baig, A. Beja-Pereira, Z. L. Ding, M. G. Palanichamy and Y. P. Zhang. 2006. Multiple maternal origins of chickens: Out of the Asian jungles. Mol. Phylogenet. Evol. 38:12-19. Liu, J. X., Y. M. Wu and Z. E. Zhou. 2002. Current situation and prospect for dairy production in China. In: Smallholder dairy production and marketing (Ed. D. Rangnekar and W. Thorpe). Opportunities and constraints. Proceedings of a South-South workshop held at NDDB, Anand, India, 2001. NDDB (National Dairy Development Board), Anand, India, and ILRI (International Livestock Research Institute), Nairobi, Kenya. p. 538. Mannen, H., M. Kohno, Y. Nagata, S. Tsuji, D. G. Bradley, J. S. Yeo, D. Nyamsamba, Y. Zagdsuren, M. Yokohama, K. Nomura and T. Amano. 2004. Independent mitochondrial origin and historical genetic differentiation in North Eastern Asian cattle. Mol. Phylogenet. Evol. 32(2):539-544. Marjoram, P. and P. Donnelly. 1994. Pairwise comparisons of mitochondrial DNA sequences in subdivided populations and implications for early human evolution. Genetics 136(2):673-683. Nei, M. 1987. Molecular evolutionary genetics. Columbia University Press, New York. Nei, M. and F. Tajima. 1981. DNA polymorphism detectable by restriction endonucleases. Genetics 97(1):145-163. Posada, D. and K. A. Crandall. 2001. Intraspecific gene genealogies: trees grafting into networks. Trends Ecol. Evol. 16:3745. Qiu, H., Z. R. Qing, Y. C. Chen and A. D. Wang. 1988. Bovine breeds in China. Shanghai Scientific and Technical Publishers, Shanghai. Ray, N., M. Currat and L. Excoffier. 2003. Intra-deme molecular diversity in spatially expanding populations. Mol. Biol. Evol. 20(1):76-86. Richards, M. B., V. A. Macaulay, H. J. Bandelt and B. C. Sykes. 1998. Phylogeography of mitochondrial DNA in western Europe. Ann. Hum. Genet. 62(Pt 3):241-260. Rogers, A. R., A. E. Fraley, M. J. Bamshad, W. S. Watkins and L. B. Jorde. 1996. Mitochondrial mismatch analysis is insensitive to the mutational process. Mol. Biol. Evol. 13(7):895-902. Rogers, A. R. and H. Harpending. 1992. Population growth makes waves in the distribution of pairwise genetic differences. Mol. Biol. Evol. 9(3):552-569. Singh, V. K., A. K. Mangalam, S. Dwivedi and S. Naik. 1998. Primer premier: program for design of degenerate primers from a protein sequence. Biotechniques 24(2):318-319. Slatkin, M. 1991. Inbreeding coefficients and coalescence times. Genet. Res. 58(2):167-175. Slatkin, M. and C. A. Muirhead. 1999. Overdominant alleles in a population of variable size. Genetics 152(2):775-781. Stepien, C. A. 1999. Phylogeographical structure of the Dover sole Microstomus pacificus: the larval retention hypothesis and genetic divergence along the deep continental slope of the northeastern Pacific Ocean. Mol. Ecol. 8(6):923-939. Tajima, F. 1989. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123(3):585-595. Templeton, A. R., K. A. Crandall and C. F. Sing. 1992. A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation. Genetics 132(2):619-633. Tsuji, S., H. Mannen, F. Mukai, M. Shojo, K. Oyama, T. Kojima, C. Kano, Y. Kinoshita and E. Yamaguchi. 2004. Trace of native cattle in Japanese Holstein assessed by mitochondrial DNA sequence polymorphism. J. Dairy Sci. 87(9):3071-3075.