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  • Research article
  • Open Access

Origin and phylogenetic status of the local Ashanti Dwarf pig (ADP) of Ghana based on genetic analysis

  • 1, 2,
  • 2,
  • 1,
  • 2,
  • 3,
  • 2 and
  • 2Email author
BMC Genomics201718:193

https://doi.org/10.1186/s12864-017-3536-6

©  The Author(s). 2017

  • Received: 3 August 2016
  • Accepted: 2 February 2017
  • Published:

Abstract

Background

The Ashanti Dwarf Pig (ADP) of Ghana is an endangered pig breed with hardy and disease resistant traits. Characterisation of animal genetic resources provides relevant data for their conservation and sustainable use for food security and economic development. We investigated the origin and phylogenetic status of the local ADP of Ghana and their crosses with modern commercial breeds based on mtDNA, MC1R, Y-chromosome sequence polymorphisms, and genome-wide SNP genotyping.

Results

The study involved 164 local pigs sampled from the three agro-ecological zones of Ghana. Analyses of the mitochondrial D-loop region and Y-chromosome sequences revealed both European and Asian genetic signatures, with differences between the geographical zones. Black coat colour is the most predominant within the breed, with black MC1R alleles of both Asian and European origin. European alleles for spotting are present at a low frequency in the sample set, and may account for the occurrence of spotted piglets in some APD litters. PCA analysis of SNP data revealed a strong location and breed effect on clustering of local Ghanaian pigs. On a global level, Ghanaian local pigs cluster closely with European pigs of commercial origin, but we identified intervals via FST analyses that may elucidate loci for ADP specific traits.

Conclusions

The presence of both European and Asian contributions, with differences between geographical zones probably reflects trading and colonial influences. Understanding the effects of admixture on important adaptive and economic traits of the ADP and other local breeds in Africa is critical for developing sustainable conservation programmes to prevent the decline of these genetic resources.

Keywords

  • Local pigs
  • D-Loop
  • Gene sequencing
  • SNP genotyping

Background

Pigs (Sus scrofa) display enormous phenotypic diversity in terms of shape, colour, size, production and reproduction abilities. Indigenous pig breeds in China, for instance, are well-known for their unique reproductive and lactation performance, good meat quality, strong adaptability and disease resistance traits [1].

The Ashanti Black Forest Dwarf Pig of Ghana, commonly called the Ashanti Dwarf Pig (ADP), is a local breed raised at the subsistence level in mixed farming systems in Ghana [2, 3]. In terms of phenotypic advantages the ADP is hardy; the breed can survive under poor management, and typically subsists by rooting and scavenging. Pigs are more resistant to heat stroke [3–5], and remain more active than introduced breeds across a range of environmental conditions. They are also considered less susceptible to the majority of local diseases and parasites [6, 7]. For other traits of economic importance, the meat of the ADP is considered superior to exotic pigs [8], it has a low demand for feed [9], and good mothering ability. The latter is particularly important in free ranging pigs where there is the need to defend piglets from predators. The ADP is also unusual in that it can digest fibrous matter and tannin-rich diets more efficiently than imported genotypes [5, 10, 11].

Despite these advantages, ADP, like other local pigs, are smaller than the imported commercial breeds [8], with low growth rates, and poorer reproductive performance. The average mature body weight is 60 kg, litter size is 5–7 piglets, and there is high (22.3%) pre-weaning mortality based on piglet deaths from all causes [12–14].

Ghana’s report on Animal Genetic Resources (AnGR) indicates that, apart from the indigenous ADP, there are various locally adapted exotic breeds as well as crosses between these exotics and the local ADP [15]. Our experience in Ghana is that some farmers who have crossed ADPs with exotic breeds have generated animals with relatively high growth rate, but their ability to forage on fibrous feed, and resistance to diseases are reduced. Thus, in spite of its relatively low cost of production, the ADP has over the years faced a threat from exotic breeds such as the Large White, Landrace and Duroc [6].

Genetic characterisation of the ADP, including an understanding of its historical origin, remains an unknown, whilst phenotypic distinction between purebred and F1 crossbred pigs is often difficult. Recently, Adjei et al. [5] reported that there is a wide variation in the morphological attributes of the local pig populations. In general, animals classified by owners as ADPs presented a concave head profile (85.9%), black coat colour (67.5%), plain coat colour pattern, erect ears (84.7%) projecting backwards (52.2%) and a short cylindrical snout. Although the majority had short and straight body hair type, others had long and dense, or long and curly coats. A few had a straight back line but the majority were swaybacked (84.7%). Other local pigs in the survey had semi-lop ears, straight head profile, white and black coat colour type, patchy and spotted coat colour patterns, and long and cylindrical snouts. It is possible these differences in phenotypes occur owing to genotypic differences in the local swine gene pool, reflecting their admixture, which could potentially dilute highly beneficial adaptive genes.

In this study, we have collected information from local producers about their stock, whether there is known to be crossbreeding with exotic breeds in the local pig population, or whether farmers believe their animals to be pure ADP. Based on the information provided, the genetic analysis allows an assessment of the accuracy of the classification of “crossbred” or “purebred” ADP, alongside investigating the potential origins and genetic diversity of the ADP and other local pig populations in Ghana. The ADP has co-evolved to adapt to its environments, and loss of animals means depletion of favourable alleles from the wider gene pool which may be equally important for the improvement of exotic breeds in the future. Addressing questions about the numbers of animals, and what genetic factors contribute to their niche traits will be a major step toward the development of sustainable conservation and improvement programmes to prevent ADP decline and extinction [16], [17].

A number of approaches have been developed to study the origin, genetic variation and unique attributes of animal genetic resources. Mitochondrial DNA (mtDNA) sequences generate phylogenetic trees at several taxonomic levels, from within species to among orders (e.g. [18, 19]). MtDNA is maternally inherited, haploid, non-recombining and its evolutionary rate of base substitution is much faster than that of nuclear DNA [20]. Thus it can be used to follow the maternal contributions within the porcine domestication process [21, 22]. In contrast, fragments of sequence from the Y chromosome have been analysed to study paternal lineages in domesticated pigs [23, 24]. These studies show that there is more than one Y chromosome lineage in domestic breeds and European wild boar based on the combinations of major alleles on the non-recombining portion of the Y chromosome (NRY). Four major Y chromosome populations can be identified based on the sex determining region Y (SRY) gene which is responsible for sex determination in mammals [25–27]. Mitochondrial, SRY and additional NRY sequence polymorphisms are described in this study as part of the analysis of the genetic origins of the ADP.

Coat colour is another important trait [28] and among the contributing genes, the melanocortin receptor 1 (MC1R) locus is the most consistently polymorphic [29]. Upon stimulation, the receptor regulates the balance between the two pigments eumelanin (black) and pheomelanin (red) produced by melanocytes [30]. Mutations in the MC1R gene affect coat colour in pigs [31, 32]; loss-of-function mutations are associated with recessive red coat colour or spotting, whereas dominant black colouring is linked with mutations affecting MC1R signalling [29]. As black is the dominant colour of the ADP, sequences from ADP or local cross-bred animals, were compared against the porcine reference genome and matched to haplotypes defined in [33].

Based on the sequences from selected DNA regions, results suggest the ADPs have both European and Asian ancestry, with a difference between animals from the north and south of the country. Both mitochondrial data and coat colour suggest a stronger contribution from Asian genetics in the north of Ghana. An FST analysis identified regions of the genome differing between ADPs and European commercial pigs, Chinese pigs and Duroc. Within these regions, we have identified intervals with genes for lipid metabolism, skeletal development and thyroid function which provide signatures for organoleptic qualities, lean carcass and body size and the potential for their preferential selection in the ADP.

Results

For investigation of the genetic relationships, and evaluation of local Ghanaian pigs, 165 animals were sampled from the agro-ecological zones as shown in Fig.  1 . A full list of samples can be found in Additional file 1: Table S1.
Fig. 1
Fig. 1

Map of Ghana The map shows the agro-ecological zones of Ghana and composite regions where pigs were sampled. The numbers of pigs per area are given on the right. (UWR = Upper West Region; NR = Northern Region; AR = Ashanti Region; ER = Eastern Region; CR = Central Region; GAR = Greater Accra Region)

Mitochondrial haplotype analysis of sequences

Mitochondrial DNA sequence analyses of 140 animals were used to develop a Bayesian phylogenetic tree (Fig. 2). Ghanaian local pigs clustered into 2 clades made up of 14 haplotypes, of which 8 clustered with European and 6 with Asian Sus scrofa haplotypes. Six of the sequences had perfect matches to existing entries in the GenBank database, whilst the remaining 8 were unique to this study (Additional file 1: Table S2). The majority of sequences from animals sampled in this study fell into three haplotypes (haplotypes 3, 8, 13: 75%). Two fall into the European clade (haplotypes 3, 13) and one into the Asian clade (haplotype 8).
Fig. 2
Fig. 2

A Bayesian phylogenetic tree based on analysis of the mitochondrial D-loop region. The panel shows the local haplotypes (in blue) clustering with sequences of Asian origin, and those (in orange) clustering with the sequences of European origin. To the right of each haplotype, the number beside the bar gives the total for individuals that share the haplotype, and the bar shows the regional distribution. The African warthog was used as an outgroup

Mitochondrial genetic distances between ADPs and other pig breeds

The clustering of haplotypes into European and Asian clades was confirmed using base substitution data, with smaller genetic distances observed between the two major European haplotypes identified in this study compared to the genetic distances between the major Asian and European haplotypes (Table 1). Globally, the mitochondrial sequences from the ADP of Ghana were closer to European than Asian sequences, as shown in Table 2.
Table 1

Mean genetic distances between the three predominant mtDNA haplotypes

ADP haplotype

3

(Asian)

8

(European)

13

(European)

3

 

0.008

0.008

8

0.026

 

0.003

13

0.026

0.004

 

Three haplotypes predominate in the animals sampled (see Fig. 2). The number of base substitutions per site from averaging over sequence pairs between haplotype groups are shown. Standard error estimate(s) are shown in the upper diagonal (italicised). Haplotype 3 is within the Asian clade; haplotypes 8 and 13 are within the European clade

Table 2

Within breed genetic distance of various Sus groups from mtDNA comparisons

Breed

ADP

Asian

European

Pacific

Sus outgroups

African Warthog

ADP

 

0.005

0.003

0.005

0.007

0.013

Asian

0.027

 

0.005

0.004

0.006

0.014

European

0.018

0.027

 

0.005

0.007

0.014

Pacific

0.026

0.022

0.025

 

0.006

0.014

Sus outgroups

0.043

0.038

0.042

0.033

 

0.012

African Warthog

0.095

0.099

0.096

0.095

0.090

 

The number of base substitutions per site from averaging over all sequence pairs between groups is shown. Standard error estimate(s) are shown in italics in the upper diagonal; ADP = Ashanti Dwarf pig

SRY Sequencing and chromosome Y haplotypes

SRY sequences were obtained from 33 males: 21 from animals selected from the designated ADP populations and 12 from local crossbred animals. All but two animals had the SRY haplotype found to predominate in European animals as described in [24]. Two animals, one from the ADP population, and one from the crossbred population, both of the Ashanti region (AR), had haplotypes previously observed in Tamworth and some Asian breeds [24]. No novel SRY sequences were detected.

Thirty-three males (22 ADP, 2 exotic and 9 local crossbred) were identified from the genome wide genotyping panel. One individual had previously been classified as female (animal 163), but appears to be karyotypically male based on both chromosome X and chromosome Y SNP data. One individual originally assigned as male in the sample record sheet appeared to be female, based on the SNP data (animal 149). All other animals were genotyped in agreement with the recorded genders. Misclassified animals appear to be a recorder error, following cross-referencing of collection records to verify every animal included in the genotyping panel. Therefore, no animals were excluded from further analysis. Of the genotyped panel, 22 DNA samples from males were in common with those selected for SRY sequencing. The extended Y chromosome haplotypes were in agreement with the previously identified SRY haplotypes for all of these animals (Additional file 1: Table S3).

Coat colour in Ghanaian local pigs

The ADP of Ghana, although predominantly black, displays other coat colours and patterns. These can be observed even in the offspring of selected “purebred” black-coated ADPs, suggesting the interplay of multiple coat colour genes in the phenotypic outcome (Additional file 2: Figure S3). Analysis of the collected data shows that the local animals include spotted, white or belted animals, as well as those with black coats (Additional file 3: Figure S4).

Since black coat colour is largely determined in mammals by the dominant alleles of the MC1R gene, the nature and origins of these alleles in Ghana were investigated through DNA sequence analysis.

MC1R gene distribution in Ghanaian local pigs

The spectrum of coat colours exhibited in domestic animals has arisen both through the influence of human intervention, with specific colours and patterns being preferentially selected, and as a consequence of genetic bottlenecks in the breeding populations [34]. A series of alleles of the MC1R gene have been identified in pigs. Six major allelic variants have been reported corresponding to five different patterns of expression [31, 32]. The wild-type (E + ) allele, found in wild boars, corresponds to haplotypes 0101 (MC1R*1) and 0102 (MC1R*5). Analysis of black coated pigs has revealed the existence of at least two dominant mutations, which appear to have arisen independently in populations of Asian or European origin. Large Black and Black Meishan pigs carry the Asian dominant black allele (E D1 ) corresponding to 0201 (MC1R*2: Leu102Pro, Val95Met); whereas Hampshire pigs carry the European dominant black allele (E D2 ) corresponding to 0301 (MC1R*3: Asp124Asn). Landrace, Yorkshire and Pietran carry the spotting allele (E P ) corresponding to 0501 (MC1R*6: nt67insCC, Asp124Asn) which causes black spotting on a red or white background [29, 33]. The black spots are attributed to the recovery of MC1R protein function via somatic mutations leading to restoration of the open reading frame [32]. The Duroc breed carries the red coat colour allele (e) corresponding to 0401 (MC1R*4: Ala164Val and Ala243Thr) [35].

In total, 86 Ghanaian pigs were fully or partially sequenced for the MC1R gene and promoter region. Control sequences from purebred red Duroc, and Large White animals were included and compared with the reference porcine genome.

The identifiable haplotypes for MC1R represented the European 301 (ED2; dominant black), Asian 201 (ED1; dominant black), European 501 (EP; spotting) and European 401 (red) variants of the gene. Sequence signatures for the respective promoters were confirmed by BLAST analysis of our data with MC1R entries in the public databases. Using these four major identifiable haplotypes, genotypes were predicted in the Ghanaian population, (Additional file 1: Table S4). For animals with incomplete or inconclusive sequence information, alleles were assigned of ‘Asian’ or ‘European’ origin based on the available data. Four animals (5, 143, 150, 158) have single base sequence deviations that do not fit the previously reported alleles. These may represent local variants of the major haplotypes, especially as the same sequence data are observed twice in animals from the Upper West Region (UWR; 150 and 158): further work with additional samples from local Ghanaian pigs is required to confirm these observations.

As with the mitochondrial data, the occurrence of Asian alleles was higher in animals from the Guinea Savannah zone than those from the other regions (Additional file 4: Figure S5). Further discussion of the distribution of alleles is given in Additional file 5.

Genotyping analysis

Genotyping data were used to perform comparisons using PCA analyses, genome wide levels of homozygosity, and an FST comparison of the ADPs against other world pig breeds.

The PCA analysis of local Ghanaian animals is shown in Additional file 6: Figure S6A. ADPs form two main groups, based on geographical location: those from the Guinea Savannah zone are the most tightly grouped, followed by those from the Coastal zone (particularly GAR), with the Forest zone animals being more diffusely scatted across the plot. In general, the crossbred pigs tended to be closer to the exotic (European breed) animals, as might be predicted based on known introduction of European breed genetics. When data from other world pig breeds are included, the Ghanaian pigs cluster more closely with European commercial breeds than with Asian pig breeds (Additional file 6: Figure S6B).

FST analysis

We performed an FST analysis between two ADP subgroups and between the ADPs and European and Chinese breeds. The first ADP subgroup was selected from the Guinea Savannah zone, and formed a distinct cluster in PCA analysis (Additional file 6: Figure S6A set 1). The second subgroup came from the Coastal zone (Additional file 6: Figure S6A set 2). The two major subgroups of ADPs (Guinea Savannah and Coastal) comprise 17 animals each.

Genome averaged Fst values are consistent with the mitochondrial data: the ADPs are genetically more similar to European Commercial breeds than to either Duroc or Chinese breeds (Table 3). Interestingly, the two ADP subsets are as distant to each other as to the European breeds.
Table 3

Genome average FST values for each of the two ADP populations

 

Guinea savannah

ADPs

Coastal ADPs

Coastal ADPs

0.131

 

European

0.085

0.105

Chinese

0.334

0.319

Duroc

0.196

0.191

The two populations from the Guinea Savannah zone and coastal zone were compared against European commercial breeds, Duroc and Chinese breeds. Values are based on the genome wide average. Both sets are as distant from each other as from the European commercial breeds, based on this analysis

Comparison of ADPs against European commercial breeds may help to identify regions that distinguish these local pigs from their most similar relatives. Forty-two genomic intervals contain SNPs with high FST (SNP FST in 99th percentile, within a 100 kb window with average FST greater than the 95th percentile: for an example see Additional file 7: Figure S8) between both ADP subgroups compared independently against the European commercial breeds. The intervals and gene content are summarised in Additional file 1: Table S5, which also indicates regions of difference against Chinese, Duroc, and between ADP groups. Notably, several of the genes in the regions distinguishing ADPs from European breeds relate to skeletal morphology and body size; for example, the transcription factor ligand dependent nuclear receptor corepressor like (LCORL, see Additional file 8: Figure S7), the enzyme inositol monophosphatase domain containing 1 (IMPAD1), and calcium channel regulator stromal interaction molecule 2 (STIM2). A further two regions have genes related to melanin production; the KIT proto-oncogene receptor tyrosine kinase, which regulates melanocyte migration (KIT), and the transient receptor potential cation channel subfamily M member 1 (TRPM1), thought to be involved in melanin production (see [36] for a discussion of genes involved in coat colour variation).

Few significant categories of genes clusters were identified using DAVID gene enrichment analysis against a human gene background to maximise information retrieval [37, 38], although genes identified at the peak SNP of FST regions in both ADP sets against other pig populations (Additional file 1: Table S5) can be grouped according to human gene-disease associations (Additional file 1: Table S6 & S7). When all loci under the FST peaks are included in the analyses, genes in behavioural classes show significance (p < 0.5) in the comparisons against all but the Chinese breeds. The two ADP groups show differences between behavioural, cardiovascular, metabolic and haematological functional classes. When only genes containing peak SNPs are classified, although values are not significant owing to the small numbers of loci analysed, ADPs still differ from European and Chinese breeds in disease classes related to cardiac function. ADP comparisons with Duroc also identify categories related to body weight and metabolic function. Individual loci containing peak SNPs analysed for disease associations are given in Additional file 1: Table S7.

Discussion

The Ashanti Dwarf Pig (ADP) has often been held as an example of a local pig breed with important genetic characteristics worthy of preservation and conservation. To preserve and enhance the breed, the Babile Pig Breeding Station was established in 1995 by the Ministry of Food and Agriculture in a National Livestock Services Project (NLSP). Through selective breeding, it has worked to generate ADP breeding stock with superior reproductive traits, both for local farmers and NGOs who use livestock as a medium in their poverty alleviation strategies. However, the population of ADP at the station has been reducing (from 382 in 2011, to 219 in 2015) due to lack of funds. This poses a serious threat to these valuable genetic resources and calls for urgent intervention. In this study, we further show that the animals described by local Ghanaian farmers as ADP may in fact derive from pigs of different ancestries. This raises the question of what is an ADP; if it is a distinct breed, then our results indicate that the pure Ashanti pigs themselves may exist in far fewer numbers in Ghana than previously thought.

The history of pigs in Sub-Saharan Africa is unclear. The importation of European breeding stock both during and post the colonial period in Africa has diluted the ancestral genetic signatures of local animals [39]. Similarly, a clear genetic dichotomy between East and West African local pigs has been reported based on Y, mitochondrial and autosomal data [40]. This found that local pig haplotypes from West Africa (Nigeria and Benin) clustered together with European haplotypes with a mean frequency of 50% and, to a lower extent, with Near Eastern Sus scrofa populations. More significantly, pigs from West Africa did not display any of the haplotypes that are characteristic of Asian (Far Eastern) populations. Conversely, DNA samples from pigs of East Africa demonstrated the presence of Asian alleles. This might be as the result of direct introgression of local animals with Far Eastern breeds, or introduced through a European intermediary, given that British breeds were strongly admixed with Chinese pigs in the 18–19th centuries [40, 41].

Mitochondrial sequences

Analysis of SNP polymorphisms in the D-loop sequence of mtDNA has been used to describe variation in putative wild ancestor and modern domestic pig populations [42–44]. In other studies, significant differentiation between European and Chinese domestic pigs has also been revealed by mtDNA analyses [21, 45–47]. The presence of both European and Asian MtDNA haplotypes in all six regions sampled indicates an admixed local pig population in Ghana. However, there is a distinct gradient with Asian sequences more common in the Guinea Savannah Zone, and European sequences on the coast (Additional file 9: Figure S2). Here, the predominance of European mtDNA haplotypes may be explained by the influence of Europe on Ghana as a result of colonization and imports of European breeds by the Ghanaian government in the recent past to boost pig production.

Y chromosome analysis

Results of the present study on the paternal ancestry of local pigs in Ghana show that almost all the tested samples had Y chromosome signatures commonly found in multiple European breeds, with only two animals having SRY sequence data comparable to the Tamworth. The extended Y haplotype signature observed in Tamworth was confirmed in the single male genotyped on the Illumina panel. However, such Y chromosome data cannot rule out non-European origins or admixture, since the observed Y lineages are also found in Asian pig breeds [24].

Coat colour and MC1R

Unlike Chinese domestic pigs which displayed low diversity of MC1R [48], Ghanaian local pigs show considerable variation in this gene. This indicates either acquired mutations [31] or an admixed population. Interestingly, the distribution of Asian and European dominant black variants broadly mirrors that of the mitochondrial data: ADP samples from the Guinea Savannah show a higher percentage of the Asian allele (almost 70% of all MC1R variants), and ADP samples from the coast a higher percentage of the European allele (almost 40% of all variants). The E P allele is also common in the local Ghanaian population, mainly in crossbred animals, but also in those classified as ADPs. In general, local crossbred pigs carrying at least one E P allele had white or spotted coats, whilst crossbred pigs of other genotypes were black, belted and white. The presence of white coated crossbred animals genotyped here as homozygous for dominant black alleles is also indicative of the influence of epistasis between coat colour loci, for example the dominant white KIT allele, in the local population.

Genome-wide analysis

The Illumina Porcine SNP60k BeadChip [23] has been used to identify SNP associated with, for example, reproduction traits in the Finnish Landrace pig breed to provide valuable candidates for possible marker-assisted selection [49]. It has provided a genome wide overview of “indigenous” local pig populations [50] and been used to determine population structure, linkage disequilibrium (LD) pattern and selection signature in Chinese and Western pigs [51]. In this study, we have used the same chip to investigate the polymorphisms present in the local Ghanaian pig populations. The principal component analysis (PCA) of the local pig populations revealed distinct clustering based on the origin of the samples from across the three agro-economical zones (Additional file 6: Figure S6). Based on biological knowledge, PCA1 probably represents geographical distribution, and PCA2 genetic distance. At the whole genome level, the ADP sampled from Greater Accra may be genetically similar to animals from the Guinea Savannah zone. Crossbred animals are generally closer to the exotics (European commercial breeds), and animals nominally called ADPs from the forest zone (AR and ER) and the CR seem to be the most diverse. In the PCA analysis that used data from breeds collected from Europe and China, all Ghanaian local pigs, irrespective of classification, overlapped and clustered with the commercial European breeds represented by the inclusion of data from Large White and Landrace samples.

FST data reveal genes that may underlie the phenotypic distinctiveness of ADPs

The FST analysis reveals regions of the genome that have greater or lesser genetic similarity between populations. The regions we identified distinguishing ADPs from European commercial breeds contain intervals with genes known to relate to body size and shape, previously reported as genomic intervals undergoing selection in pigs and other mammals, such as LCORL and the pleomorphic adenoma gene 1 PLAG1 [52, 53]. The LCORL protein is a transcription factor implicated in humans in effects on skeletal size and adult height [54]; PLAG1 is developmentally regulated, often associated with salivary gland neoplasms, and has been linked with growth rates in cattle [55]. These genes may help explain the short stature of the ADPs compared to other breeds, and will be useful targets for more detailed study.

We propose that pigs from the southern part of Ghana should be more admixed due to colonisation, and relatively more activity in terms of trade and movement of people and animals to that part of the country. The FST data are in agreement, suggesting the ADP samples selected from the extremes of Ghana are as far distant from each other as each subgroup is from European commercial breeds. Correspondingly, pigs from these regions also show more variation in mitochondrial DNA and MC1R sequences. Animals from the Northern part of the country have higher percentages of Asian signature sequences at the selected loci, but it is currently unclear if this is indicative of historic breeding bottlenecks or points to two distinct geographical origins of the animals currently classified as Ashanti Dwarf Black pigs.

Conclusions

Local ADPs of Ghana display genetic signatures indicative of both European and Asian origins at the loci described here. Although the ADP is nominally a black coated breed, the recent occurrence of spotted piglets in APD litters may be due to epistatic interactions, or a low frequency of the recessive E P allele in the selected populations introduced through unrecorded crossbreeding with other local pigs. The data presented suggest that morphology alone cannot be used to adequately characterise Ghanaian local pigs. It will be necessary to sample a larger population of local pigs in Ghana to find out how the adaptive and economic traits of the ADP have been affected by crossbreeding, and define allelic variants of value to the longer term animal breeding programme in Ghana.

Methods

Samples and DNA extraction

A total of 165 pigs made up of local ADPs, crossbreds and exotic pigs were sampled from six regions in the three agro-ecological zones of Ghana, namely the coastal savannah, forest and guinea savannah zones (Fig.  1 ) between August 2013 and October 2013. Further details on the climate of each zone can be found in Additional file 5.

The samples were obtained from a total of 54 local pig farmers and 6 institutional pig farms. Further details are in Additional file 1: Table S1. The farmers/managers were interviewed to obtain information on the husbandry practices, such as their experience in keeping the local breed, and if they have ever crossbred their local stock with exotics. Ear tissues of sampled pigs were obtained using an ear notcher (Additional file 10: Figure S1) with assistance from animal production officers, veterinary technicians and extension agents of the Ministry of Food and Agriculture (MOFA). The samples were stored on field in RNAlater (tissue collection stabilization) solution (Ambion, USA) and later transported to the Biotechnology Laboratory of the School of Agriculture, University of Ghana, Legon. Genomic DNA was extracted from the ear tissues using the QIAGEN DNeasy Blood and Tissue Kit following the Manufacturers’ protocol after which the quality of the DNA obtained was tested using a spectrophotometer and stored at −80 °C. The DNA samples were subsequently transported to the laboratory of the Mammalian Genetics Group of the Department of Pathology, University of Cambridge for sequencing and genotyping.

DNA amplification and sequencing

MtDNA sequencing

A segment of the D-loop region (approximately 680 bp) of the mtDNA was amplified from 140 local animals (81 classified as ADP and 59 classified as cross-bred) using the following primers pairs: L15387 (5′-CTCCGCCATCAGCACCCAAAG-3′ forward) and H124n (5′-ATRGCTGAGTCYAAGCATCC-3′ reverse) [18]. PCRs were set up using the manufacturer’s recommended conditions with Qiagen HotStarTaq® DNA polymerase in the presence of buffer Q. All reactions were carried out in 20 μL volumes, with 0.5 μM primers, and 20–50 ng DNA. The touchdown PCR was set at 95 °C for 15 min for the initial denaturation and Taq activation. This was then followed by 35 cycles at 94 °C for 1 min to denature the template DNA, 1 min at the annealing temperature and another 1 min at 72 °C The annealing temperature started at 62 °C, decreasing by one degree per cycle until 53 °C was reached. The remaining cycles were completed at an annealing temperature of 53 °C. The samples were held at 72 °C for 10 min and chilled at 4 °C until removed from the PCR machine.

PCR products were purified following agarose gel electrophoresis using ExoSAP-IT (USB Corporation, USA) following the manufacturer’s recommendations Amplicons were sequenced using Big Dye version 3.1 (Applied Biosystems). The sequencing program consisted of 30 cycles of: 96 °C for 10 s, 55 °C for 5 s and 60 °C for 4 min. The products were then run on an ABI 3100 capillary sequencer at the sequencing facility in the Department of Biochemistry, University of Cambridge. Traces were edited using Chromas version 2.2 (Technelysium Pty Ltd) before comparing in Sequencer (Genecodes Corporation). Sequences from different animals were also viewed using the MultAlin program (http://multalin.toulouse.inra.fr/multalin/), and within the ClustalW2 program (http://www.ebi.ac.uk/Tools/clustalw2/). Edited consensus sequences and polymorphisms associated with this study are deposited in GenBank under accession numbers KU306949-KU306962.

MC1R sequencing

Two primer pairs were used to amplify the majority of the single exon MC1R gene. The first pair was MF1 (5′ -GTGCGGCGGCTCTGGGCTCCAA forward) and MR1 (5′ -CCCCCACTCCCCATGCCTCCTG reverse) whilst the second primer pair was MF1 (5′ –GTGCGGCGGCTCTGGGCTCCAA forward) and MR2 (5′ –ACACCATGGAGCCGCAGATGAGC reverse). PCRs were carried out in a DNA thermal cycler [Perkin Elmer (Norwalk, CT) 9600] in a total volume of 20 μl containing 25 ng genomic DNA, 1.0 Mm MgCl2, 50 Mm KCl, 10 Mm Tris–HCl, pH 8.3, 200 μM dNTPs, 0.5 units Ampli-Taq Gold [Perkin Elmer (Norwalk, CT) 9600], and 0.5 μM each of forward and reverse primer. To activate AmpliTaq Gold, initial heat denaturation was carried out at 94 °C for 10 min followed by 32 cycles each consisting of 45 s at 94 °C, 45 s at 53 °C and 45 s at 72 °C. The final extension lasted for 7 min at 72 °C. Sequencing reactions were purified, run and analysed as above.

SRY sequencing

Primers capturing the entire open reading frame of the SRY gene were used to amplify DNA products from male pigs as previously described [24]. Samples were purified, run and analysed as above.

Analysis of mtDNA sequence data

Sequences from the Ghanaian samples were trimmed to remove the amplification primer sequences, then aligned against each other to define 14 unique haplotypes. Reference sequences for each of the haplotypes were taken through the analyses defined below.

Sequence comparisons of the D-loop mtDNA were performed for indigenous Ghanaian pigs and selected porcine mtDNA sequences from the GenBank. The corresponding sequence of the African Warthog (Phacochoerus aethiopicus) (GenBank: AB046876) was used as outgroup. Sequences were aligned using Muscle. Evolutionary analyses were conducted in MEGA6 [56]. Genetic distances within and between breeds were calculated as the number of base substitutions per site from averaging over all sequence pairs between groups. Standard error estimate(s) were obtained by a bootstrap procedure (500 replicates). Analyses were conducted using the Tamura-Nei model [57]. The rate variation among sites was modelled with a gamma distribution (shape parameter = 0.33). The analysis involved 53 nucleotide sequences. All ambiguous positions were removed for each sequence pair. There were a total of 573 positions in the final dataset.

A Bayesian phylogenetic tree was constructed from the aligned sequences. The analysis was performed in MrBayes (http://mrbayes.sourceforge.net/index.php), using five million generations with sampling every 5000 generations. Traces were checked in Tracer (http://tree.bio.ed.ac.uk/software/tracer/) and burn-in generation was set at 1000. The final tree was visualised and annotated using FigTree (http://tree.bio.ed.ac.uk/software/figtree/).

SNP genotyping and quality control

In this study, genomic DNA of 71 animals were genotyped using the Illumina PorcineSNP60 BeadChip following to the manufacturer’s protocol. One animal was genotypes twice as an internal control. Raw data were visualized and analyzed with the Genome Studio software (Illumina, San Diego, CA, USA).

The SNP genotype calls were exported and loaded in PLINK (Purcell et al. [59]) to perform the PCA analysis. 61565 SNPs were present at the start of the analysis. The filtering parameters were as follows: the maximum missing rate per SNP was set at 10%, minimum allele frequency at 5%, and maximum individual missing rate at 10%. 3305 variants were removed due to missing genotyping data, 6951 due to minor allele frequency threshold, and 4 samples due to individual missing SNP rate. After filtering the 51309 SNPs remained, with 67 individuals successfully typed.

The present raw dataset was also merged with data from a previous study using pig breeds selected from the Americas, Europe and Asia [50]. For this study, based on potential origins of local pigs, historic and current trading routes, a subset of European commercial, Iberian, European wild boar and Asian populations was selected for integration. The two sets were merged resulting in a starting set of 240 individuals with 45673 SNPs in common. The same filters were applied as above, excluding 3 individuals and 1445 SNPs, and leaving 237 individual and 44228 SNPs for the PCA analysis.

Based on the PCA analysis, subsets of tightly grouping ADP populations from the Guinea Savannah and Coastal zones were selected for further characterisation. Each of the two subpopulations comprised 17 animals.

FST analysis

Comparisons of Wright’s F ST s (as in [58]) for animals from different geographic regions was performed within PLINK v1.9b [59] with the 45673 SNPs identified above. The sex chromosome markers, and SNPs which were fixed in any of the populations under comparison were removed. In total, 39848 markers remained for comparison of each of the ADP subgroups against the Chinese and European breeds, and 32793 remained when comparing the two ADP subgroups to each other. The resulting F ST data was analysed in R. The raw F ST values were smoothed using 100 kb windows centred on each SNP in chromosomal order, and regions with high F ST were identified. The threshold to consider a SNP as being of interest were: the individual SNP F ST was greater than 99% of all F STs, and the smoothed F ST was greater than 95% of all F STs. An example graph of smoothed FSTs along chromosome 7 between ADP subgroup 1 and Duroc is shown in Additional file 7: Figure S8.

Intervals identified by the analysis were scrutinised for gene content in Ensembl. The comparative genomics options in the web interface allowed identification of any transcripts not fully annotated in the current pig genomic build (Sscrofa10.2) by comparison with human (GRCh38p7). Gene lists created from these intervals of interest are shown in Additional file 1: Table S5, and were further analysed in DAVID v6.8 (https://david.ncifcrf.gov/) [37, 38]. Owing to the poorer levels of functional and disease association data in swine, all gene lists were run against a human background in order to extract the maximum information content. Significant results (p < 0.05) from the DAVID analysis are shown in Additional file 1: Table S6, with the peak genes and disease classifications based on human data in Additional file 1: Table S7.

Abbreviations

ADP: 

Ashanti Dwarf pigs

FST : 

Fixation index (F-statistic)

MC1R: 

Melanocortin receptor 1

mtDNA: 

Mitochondrial DNA

PCA: 

Principle components analysis

SNP: 

Single nucleotide polymorphism

SRY: 

Sex determining region Y

Declarations

Acknowledgements

The Mammalian Molecular Genetics Laboratory of the Pathology Department, University of Cambridge is acknowledged for hosting ROA during his visit to Cambridge University. We also acknowledge laboratory assistance from Ms. Kerry Harvey, Mrs. Jo Bacon, and Mrs. Kim Lachani of the same laboratory. CAS and NAA are also Fellows of Hughes Hall, Cambridge.

Funding

The authors are grateful to Cambridge in Africa Research Excellence (CAPREx) for the award of Post-doctoral Fellowship to ROA, and the Alborada Trust for supporting the Research. G.L is supported by the European Research Council (337574-UNDEAD), and BMS is supported by BBSRC grant number BB/N000129/1. CAS is funded by the Department of Pathology and Hughes Hall, Cambridge.

Availability of data and materials

Mitochondrial sequences are deposited under accession numbers KU306949 to KU306962. SNP data is deposited under GEO accession number GSE84604.

Authors’ contributions

ROA and DOA collected the samples, prepared DNA, and recorded the data on the animals from Ghana. ROA carried out the sequencing and genotyping experiments, as well as analysis of sequence data. BMS and GL contributed to analysis of the mitochondrial sequences, and JB carried out all the analyses in PLINK. CAS, NAA and ROA prepared the grant application and developed the research programme that led to this work. BMS, CAS and ROA prepared the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Samples were collected with the permissions of farmers under the guidance and supervision of veterinarians of the Ministry of Food and Agriculture (MOFA), Ghana. Ethical approval for the study was given by the Institutional Animal Care and Use Committee (NIACUC), Noguchi Memorial Institute for Medical Research, University of Ghana for the period 5th May 2015 to 4th May 2018 (NIACUC PROTOCOL NUMBER: 2015-01-1 N).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Animal Breeding and Genetics Research Group, Department of Animal Science, University of Ghana, P. O. Box LG 226, Legon-ACCRA, Ghana
(2)
Mammalian Genetics Research Group, Department of Pathology, University of Cambridge, Tennis Court Rd, Cambridge, CB2 1QP, UK
(3)
Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology, Dyson Perrins Building, South Parks Road, Oxford, OX1 3QY, UK

References

  1. Wang J, Guo J, Hao X, Hu H, Lin H, Zhang Y, et al. Phylogenetic Relationships of Pig Breeds from Shandong Province of China and Their Influence by Modern Commercial Breeds by Analysis of Mitochondrial DNA Sequences. Ital J Anim Sci. 2010;9:e48.View ArticleGoogle Scholar
  2. Tachie-Menson CKB. Basic Principles in rearing pigs. Accra: Asempa Publishers, Christian Council of Ghana; 1990.Google Scholar
  3. Ahunu BK, Boa-Amponsem K, Okantah SA, Aboagye GS, Buadu MK. National Animal Breeding Plan for Ghana. A Draft Report on National Livestock Genetic Improvement. 1995.Google Scholar
  4. Darko K, Buadu MK. The performance of a herd of Ashanti Dwarf pigs in the Forest zone of Ghana. In: Proc. of 24th Ghana Animal Science Assoc. Kumasi: University of Science and Technology; 1998. p. 8.Google Scholar
  5. Adjei OD, Osei-Amponsah R, Ahunu BK. Morphological characterisation of local pigs in Ghana. Bull Anim Health Prod Afr AnGR Spec Ed. 2015;68:295–300.Google Scholar
  6. Barnes A, Fleischer J. Growth rate and carcass characteristics of indigenous (Ashanti Dwarf) pig. Ghana J Agric Sci. 1998;31:217–21.Google Scholar
  7. Sarpong PK. Post-weaning growth performance of the Ashanti Black Pig under intensive management system. MSc. Cape Coast: University of Cape Coast; 2009.Google Scholar
  8. Madzimure J. Climate change adaptation and economic valuation of local pig genetic resources in communal production systems of South Africa. Ph.D. Alice: University of Fort Hare; 2011.Google Scholar
  9. Ndindana W, Dzama K, Ndiweni PNB, Maswaure SM, Chimonyo M. Digestibility of high fibre diets and performance of growing Zimbabwean indigenous Mukota pigs and exotic Large White pigs fed maize based diets with graded levels of maize cobs. Anim Feed Sci Technol. 2002;97:199–208.View ArticleGoogle Scholar
  10. Kanengoni AT, Dzama K, Chimonyo M, Kusina J, Maswaure SM. Influence of level of maize cob meal on nutrient digestibility and nitrogen balance in Large White, Mukota and LW × M F 1 crossbred pigs. ResearchGate. 2002;74:127–34.Google Scholar
  11. Mushandu J, Chimonyo M, Dzama K, Makuza SM, Mhlanga FN. Influence of sorghum inclusion level on performance of growing local Mukota, Large White and their F1 crossbred pigs in Zimbabwe. Anim Feed Sci Technol. 2005;122:321–9.View ArticleGoogle Scholar
  12. Devendra C, Fuller MF. Pig Production in the Tropics. Oxford; New York: Oxford University Press; 1979.Google Scholar
  13. Holness DH. The tropical agriculturist. Pigs. London: Macmillan Education Ltd; 1991.Google Scholar
  14. Tweneboah CK. Modern agriculture in the tropics. A textbook on Animal production. Accra: Co-wood Publishers; 2000.Google Scholar
  15. APD (Animal Production Directorate). Ghana’s country report on animal genetic resources. 2003.Google Scholar
  16. Amills M. Biodiversity and Origin of Pig Breeds. Bull Univ Agric Sci Vet Med Cluj-Napoca Anim Sci Biotechnol. 2011;68:1-5.Google Scholar
  17. Eggen A. The development and application of genomic selection as a new breeding paradigm. Anim Front. 2012;2:10–5.View ArticleGoogle Scholar
  18. Larson G, Dobney K, Albarella U, Fang M, Matisoo-Smith E, Robins J, et al. Worldwide Phylogeography of Wild Boar Reveals Multiple Centers of Pig Domestication. Science. 2005;307:1618–21.View ArticlePubMedGoogle Scholar
  19. Haile J, Larson G, Owens K, Dobney K, Shapiro B. Ancient DNA typing of archaeological pig remains corroborates historical records. J Archaeol Sci. 2010;37:174–7.View ArticleGoogle Scholar
  20. Avise JC. Phylogeography: the history and formation of species. Cambridge: Harvard University Press; 2000.Google Scholar
  21. Kim K-I, Lee J-H, Li K, Zhang Y-P, Lee S-S, Gongora J, et al. Phylogenetic relationships of Asian and European pig breeds determined by mitochondrial DNA D-loop sequence polymorphism. Anim Genet. 2002;33:19–25.View ArticlePubMedGoogle Scholar
  22. Fang M, Berg F, Ducos A, Andersson L. Mitochondrial haplotypes of European wild boars with 2n = 36 are closely related to those of European domestic pigs with 2n = 38. Anim Genet. 2006;37:459–64.View ArticlePubMedGoogle Scholar
  23. Ramos AM, Crooijmans RPMA, Affara NA, Amaral AJ, Archibald AL, Beever JE, et al. Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology. PLoS One. 2009;4. doi:10.1371/journal.pone.0006524.Google Scholar
  24. Cliffe KM, Day AE, Bagga M, Siggens K, Quilter CR, Lowden S, et al. Analysis of the non-recombining Y chromosome defines polymorphisms in domestic pig breeds: ancestral bases identified by comparative sequencing. Anim Genet. 2010;41:619–29.View ArticlePubMedGoogle Scholar
  25. Gubbay J, Collignon J, Koopman P, Capel B, Economou A, Münsterberg A, et al. A gene mapping to the sex-determining region of the mouse Y chromosome is a member of a novel family of embryonically expressed genes. Nature. 1990;346:245–50.View ArticlePubMedGoogle Scholar
  26. Sinclair AH, Berta P, Palmer MS, Hawkins JR, Griffiths BL, Smith MJ, et al. A gene from the human sex-determining region encodes a protein with homology to a conserved DNA-binding motif. Nature. 1990;346:240–4.View ArticlePubMedGoogle Scholar
  27. Koopman P, Gubbay J, Vivian N, Goodfellow P, Lovell-Badge R. Male development of chromosomally female mice transgenic for Sry. Nature. 1991;351:117–21.View ArticlePubMedGoogle Scholar
  28. Switonski M, Mankowska M, Salamon S. Family of melanocortin receptor (MCR) genes in mammals—mutations, polymorphisms and phenotypic effects. J Appl Genet. 2013;54:461–72.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Margeta P, Margeta V, BudIMIR K. How black is really Black slavonian pig? Acta Agric Slov. 2013;4:25–8.Google Scholar
  30. Robbins LS, Nadeau JH, Johnson KR, Kelly MA, Roselli-Rehfuss L, Baack E, et al. Pigmentation phenotypes of variant extension locus alleles result from point mutations that alter MSH receptor function. Cell. 1993;72:827–34.View ArticlePubMedGoogle Scholar
  31. Kijas JM, Wales R, Törnsten A, Chardon P, Moller M, Andersson L. Melanocortin receptor 1 (MC1R) mutations and coat color in pigs. Genetics. 1998;150:1177–85.PubMedPubMed CentralGoogle Scholar
  32. Kijas JM, Moller M, Plastow G, Andersson L. A frameshift mutation in MC1R and a high frequency of somatic reversions cause black spotting in pigs. Genetics. 2001;158:779–85.PubMedPubMed CentralGoogle Scholar
  33. Fang M, Larson G, Ribeiro HS, Li N, Andersson L. Contrasting Mode of Evolution at a Coat Color Locus in Wild and Domestic Pigs. PLoS Genet. 2009;5. doi:10.1371/journal.pgen.1000341.Google Scholar
  34. Innan H, Kim Y. Pattern of polymorphism after strong artificial selection in a domestication event. Proc Natl Acad Sci U S A. 2004;101:10667–72.View ArticlePubMedPubMed CentralGoogle Scholar
  35. Dun G, Li X, Cao H, Zhou R, Li L. Variations of Melanocortin Receptor 1 (MC1R) Gene in Three Pig Breeds. J Genet Genomics. 2007;34:777–82.View ArticlePubMedGoogle Scholar
  36. Reissmann M, Ludwig A. Pleiotropic effects of coat colour-associated mutations in humans, mice and other mammals. Semin Cell Dev Biol. 2013;24:576–86.View ArticlePubMedGoogle Scholar
  37. Huang DW, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009;37:1–13.View ArticleGoogle Scholar
  38. Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2008;4:44–57.View ArticleGoogle Scholar
  39. Blench RM. A history of pigs in Africa. In: Blench RM, MacDonald K, editors. Origins and development of African livestock: archaeology, genetics, linguistics and ethnography. Florence: Routledge Books; 1999. p. 355–67.Google Scholar
  40. Ramírez O, Ojeda A, Tomàs A, Gallardo D, Huang LS, Folch JM, et al. Integrating Y-Chromosome, Mitochondrial, and Autosomal Data to Analyze the Origin of Pig Breeds. Mol Biol Evol. 2009;26:2061–72.View ArticlePubMedGoogle Scholar
  41. Porter V. Pigs: A Handbooks to the Breeds of the World. Ithaca: Cornell University Press; 1993.Google Scholar
  42. Ursing BM, Arnason U. The complete mitochondrial DNA sequence of the pig (Sus scrofa). J Mol Evol. 1998;47:302–6.View ArticlePubMedGoogle Scholar
  43. Bruford MW, Bradley DG, Luikart G. DNA markers reveal the complexity of livestock domestication. Nat Rev Genet. 2003;4:900–10.View ArticlePubMedGoogle Scholar
  44. McCann BE, Malek MJ, Newman RA, Schmit BS, Swafford SR, Sweitzer RA, et al. Mitochondrial diversity supports multiple origins for invasive pigs. J Wildl Manag. 2014;78:202–13.View ArticleGoogle Scholar
  45. Giuffra E, Kijas JM, Amarger V, Carlborg O, Jeon JT, Andersson L. The origin of the domestic pig: independent domestication and subsequent introgression. Genetics. 2000;154:1785–91.PubMedPubMed CentralGoogle Scholar
  46. Okumura N, Kurosawa Y, Kobayashi E, Watanobe T, Ishiguro N, Yasue H, et al. Genetic relationship amongst the major non-coding regions of mitochondrial DNAs in wild boars and several breeds of domesticated pigs. Anim Genet. 2001;32:139–47.View ArticlePubMedGoogle Scholar
  47. Watanobe T, Ishiguro N, Okumura N, Nakano M, Matsui A, Hongo H, et al. Ancient mitochondrial DNA reveals the origin of Sus scrofa from Rebun Island, Japan. J Mol Evol. 2001;52:281–9.View ArticlePubMedGoogle Scholar
  48. Li J, Yang H, Li J, Li H, Ning T, Pan X-R, et al. Artificial selection of the melanocortin receptor 1 gene in Chinese domestic pigs during domestication. Heredity. 2010;105:274–81.View ArticlePubMedGoogle Scholar
  49. Uimari P, Sironen A, Sevón-Aimonen M-L. Whole-genome SNP association analysis of reproduction traits in the Finnish Landrace pig breed. Genet Sel Evol GSE. 2011;43:42.View ArticlePubMedGoogle Scholar
  50. Burgos-Paz W, Souza CA, Megens HJ, Ramayo-Caldas Y, Melo M, Lemús-Flores C, et al. Porcine colonization of the Americas: a 60k SNP story. Heredity. 2013;110:321–30.View ArticlePubMedGoogle Scholar
  51. Ai H, Huang L, Ren J. Genetic Diversity, Linkage Disequilibrium and Selection Signatures in Chinese and Western Pigs Revealed by Genome-Wide SNP Markers. PLoS One. 2013;8: doi:10.1371/journal.pone.0056001.Google Scholar
  52. Rubin C-J, Megens H-J, Barrio AM, Maqbool K, Sayyab S, Schwochow D, et al. Strong signatures of selection in the domestic pig genome. Proc Natl Acad Sci U S A. 2012;109:19529–36.View ArticlePubMedPubMed CentralGoogle Scholar
  53. Takasuga A. PLAG1 and NCAPG-LCORL in livestock. Anim Sci J. 2016;87:159–67.View ArticlePubMedGoogle Scholar
  54. Soranzo N, Rivadeneira F, Chinappen-Horsley U, Malkina I, Richards JB, Hammond N, et al. Meta-analysis of genome-wide scans for human adult stature identifies novel Loci and associations with measures of skeletal frame size. PLoS Genet. 2009;5:e1000445.View ArticlePubMedPubMed CentralGoogle Scholar
  55. G T Pereira A, Utsunomiya YT, Milanesi M, Torrecilha RBP, Carmo AS, Neves HHR, et al. Pleiotropic Genes Affecting Carcass Traits in Bos indicus (Nellore) Cattle Are Modulators of Growth. PLoS One. 2016;11:e0158165.View ArticlePubMedPubMed CentralGoogle Scholar
  56. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.View ArticlePubMedPubMed CentralGoogle Scholar
  57. Tamura K, Nei M. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol Biol Evol. 1993;10:512–26.PubMedGoogle Scholar
  58. Weir BS, Cockerham CC. Estimating F-statistics for the analysis of population structure. Evolution. 1984;38:1358–70.Google Scholar
  59. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, et al. PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses. Am J Hum Genet. 2007;81:559–75.View ArticlePubMedPubMed CentralGoogle Scholar

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