Literature DB >> 21253012

Dual origins of dairy cattle farming--evidence from a comprehensive survey of European Y-chromosomal variation.

Ceiridwen J Edwards1, Catarina Ginja, Juha Kantanen, Lucía Pérez-Pardal, Anne Tresset, Frauke Stock, Luis T Gama, M Cecilia T Penedo, Daniel G Bradley, Johannes A Lenstra, Isaäc J Nijman.   

Abstract

BACKGROUND: Diversity patterns of livestock species are informative to the history of agriculture and indicate uniqueness of breeds as relevant for conservation. So far, most studies on cattle have focused on mitochondrial and autosomal DNA variation. Previous studies of Y-chromosomal variation, with limited breed panels, identified two Bos taurus (taurine) haplogroups (Y1 and Y2; both composed of several haplotypes) and one Bos indicus (indicine/zebu) haplogroup (Y3), as well as a strong phylogeographic structuring of paternal lineages. METHODOLOGY AND PRINCIPAL
FINDINGS: Haplogroup data were collected for 2087 animals from 138 breeds. For 111 breeds, these were resolved further by genotyping microsatellites INRA189 (10 alleles) and BM861 (2 alleles). European cattle carry exclusively taurine haplotypes, with the zebu Y-chromosomes having appreciable frequencies in Southwest Asian populations. Y1 is predominant in northern and north-western Europe, but is also observed in several Iberian breeds, as well as in Southwest Asia. A single Y1 haplotype is predominant in north-central Europe and a single Y2 haplotype in central Europe. In contrast, we found both Y1 and Y2 haplotypes in Britain, the Nordic region and Russia, with the highest Y-chromosomal diversity seen in the Iberian Peninsula.
CONCLUSIONS: We propose that the homogeneous Y1 and Y2 regions reflect founder effects associated with the development and expansion of two groups of dairy cattle, the pied or red breeds from the North Sea and Baltic coasts and the spotted, yellow or brown breeds from Switzerland, respectively. The present Y1-Y2 contrast in central Europe coincides with historic, linguistic, religious and cultural boundaries.

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Year:  2011        PMID: 21253012      PMCID: PMC3016991          DOI: 10.1371/journal.pone.0015922

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The history of human civilisations has left its footprint in the patterns of genetic variation of livestock species across and within continents [1], [2], [3], [4]. Molecular markers, such as mitochondrial DNA (mtDNA) and autosomal polymorphisms, have been particularly useful in investigating the wild species origin of cattle and the subsequent genetic events that shaped the present pattern of genetic diversity. With regards to cattle in Europe, evidence indicates that: (i) Balkan cattle act as reservoir of high genetic diversity [5]; (ii) there is a marked contrast between north and south Europe [6], [7], [8]; and (iii) central European breeds occupy a separate position relative to Mediterranean and northern European cattle [9]. Although the Fertile Crescent is considered the primary centre of taurine cattle domestication, evidence for independent domestication events in other locals is currently debated [10], [11], [12], [13], [14], [15]. Ancestral taurine mtDNA lineages have been identified, and confirmed differences seen between northern and southern European populations of wild cattle (aurochs): the B. primigenius haplogroup P was frequent in northern and central Europe [16], while distinct putative auroch matrilines (haplogroups Q and R) were found in modern southern European populations and it appears that these were sporadically introduced into domestic breeds [11], [12]. MtDNA sequences also reveal that indicine cattle originated from a different wild aurochs population, Bos primigenius namadicus, in the Indus Valley approximately 8,000 years before present [17], [18]. Differentiation of paternal lineages via analysis of Y-chromosomal variation adds significantly to what can be inferred from mtDNA and autosomal variation [19]. The absence of interchromosomal recombination outside the pseudoautosomal region (PAR) preserves original arrangements of mutational events, and thus male lineages can be traced both within and among populations. Genetic drift is relatively strong due to the effective population sizes of Y-chromosomes being, at most, 25% of the autosomal effective population size [20]. Effective population size is often reduced further by the relatively high variability of male reproductive success. As a result, the Y-chromosome is a sensitive indicator of recent demographic events, such as population bottlenecks, founder effects and population expansions. In several herd species, males are more mobile than females and compete for reproduction or, in the case of livestock, are selected on the basis of breeding objectives. So while mtDNA variants stay mostly within the herd, Y-chromosomal variants may reflect the origin of sires as influenced by introgression and upgrading. Indeed, in domestic cattle, a marked difference between the distributions of mitochondrial and Y-chromosomal components has been observed [16], [21], [22], [23], [24]. In an initial survey of European breeds, two haplogroups, Y1 and Y2, were found to be dominant in northern and southern Europe respectively [25]. Comparison of cattle Y-chromosome variation over time suggests that the frequency and distribution of these patrilines varied, which could be related with distinct breeding strategies [26]. In European aurochs, Y2 appears to be predominant [27], but so far it is unclear if there was significant introgression from wild bulls into domestic populations. In the study of human male lineages, the use of Y-specific microsatellites has allowed for refined analyses of the genetic diversity of paternal lineages that can be found within major haplogroups [28], [29]. Similarly, in cattle, microsatellite analysis has identified several Y-haplotypes in Portuguese [30], northern and eastern European [31], western-continental, British and Sub-Saharan Africa [14] breeds, as well as in American Creole [22] breeds. Even though different sets of markers were used in these studies, and each only partially covered the diversity pattern of the paternal lineages, they have confirmed that Y-markers exhibit a strong phylogeographic structure in cattle. Here we report Y-haplotype data on 128 European, one African and nine Asian breeds, incorporating also data from the previous reports. This comprehensive study confirms a clear north-south contrast that is accentuated by a homogeneity of Y1 haplotypes in north-central Europe and of Y2 haplotypes in and around the Alpine region, both regions that are thought to be the origin of highly productive cattle breeds. This genetic boundary correlates with historic differences between northern and southern European cultures and we consider that this may have implications for the investigation of dairy QTL variation.

Results

Cattle haplogroups defined by Y-SNPs

For 238 males from 30 breeds, Y-chromosomal fragments comprising the ZFY (1,219 bp and 1,003 bp), SRY (2,644 bp) and DBY (also known as DDX3Y; 406 bp) genes were sequenced [32]. These sequences contained five mutational differences when compared to the zebu Y3 sequences [30], and all European animals carried either the Y1 or Y2 taurine haplogroups. Interestingly, comparison of the Y3 sequence with an SRY sequence from an Indian Sahiwal zebu (GenBank accession number AY079145) [33] revealed three additional differences downstream of the open-reading frame, indicating zebu-specific Y-chromosomal SNPs. In combination with a SNP in UYT19 [14], [22], [25], [31], three cosegregating mutations differentiate the taurine Y1 and Y2 haplogroups (). A composite microsatellite in DBY [25], with one major allele in both Y1 and Y2 and only present in the Italian Maremmana, was not used for differentiation of haplotypes. Genotypes of individual SNPs in other animals were combined with Y1-Y2 SNP data and resulted in Y1 or Y2 assignments of 2087 animals from 138 breeds (). The resulting dataset included previously published genotypic information for 1099 individuals from 78 breeds [14], [22], [31]. The Y3 haplogroup was identified on the basis of microsatellite information as described in the next section. The map of shows the geographical distribution of Y-haplogroups. The three haplogroups described in cattle (Y1, Y2 and Y3) were detected in Southwest Asia, but only Y3 was present in the two Indian breeds analysed, which is in agreement with their zebu morphology. Y1 was predominant in northern Europe and in a number of Iberian breeds. In contrast, Y2 was dominant in most central, Mediterranean and Iberian breeds, but was also found in several British and Nordic breeds. Although only a single African breed was included in this study, both Y1 and Y2 haplogroups were present.
Figure 1

Geographical distribution of Y-haplogroups.

(a) Europe, and (b) Eurasia. Green = Y1; red = Y2; black = Y3. Abbreviations of breed names are given in Table 1.

Geographical distribution of Y-haplogroups.

(a) Europe, and (b) Eurasia. Green = Y1; red = Y2; black = Y3. Abbreviations of breed names are given in Table 1.
Table 1

Breed information, including geographical grouping, for the 111 cattle breeds sampled as part of this study, and associated haplotypic data (defined as SNP-INRA189-BM861) and diversity values.

Geographic groupingBreedCodeCountry of originNumber of Y-chromosomesHaplotypehaplotype diversity (± SD)total number of haplotypes
Y1-94-158Y1-96-158Y1-98-158Y1-98-160Y1-100-158Y1-102-158Y2-80-158Y2-90-158Y2-94-158Y2-96-158Y2-98-158Y2-98-160Y2-100-158Y2-102-158Y2-102-160Y2-104-158Y2-104-160Y2-106-158Y3-88-156
India (IND) NelloreNELBrazil12120.000±0.0001
OngoleONGIndia440.000±0.0001
Total 16 16 0.000±0.000 1
Africa (AFR) N'DamaNDMGuinea122910.247±0.1843
Total 12 2 9 1 0.247±0.184 3
Southwest Asia (SWA) Anatolian BlackANTTurkey511210.300±0.4244
DamascusDAMSyria31110.556±0.4163
East Anatolian RedEARTurkey41210.278±0.3933
Middle IraqiIQMIraq4310.500±0.0002
North IraqiIQNIraq11n/a1
South IraqiIQSIraq330.000±0.0001
South Anatolian RedSARTurkey4220.222±0.3142
Total 24 4 1 1 1 7 5 5 0.574±0.192 7
Podolian (POD) ChianinaCHIItaly20200.000±0.0001
IstrianISTCroatia440.000±0.0001
MarchigianaMCGItaly11110.000±0.0001
MaremmanaMMAItaly19190.000±0.0001
PodolicaPODiItaly13940.154±0.2182
Serbian PodolicaPODsSerbia440.000±0.0001
Turkish GreyTGYTurkey330.000±0.0001
Ukrainian GreyUGYUkraine550.000±0.0001
Total 79 5 28 43 3 0.193±0.273 4
Iberian (IBE) AlentejanaALNPortugal34340.000±0.0001
Alistana-SanabresaALSSpain12120.000±0.0001
ArouquesaARQPortugal332580.126±0.1792
Asturiana de los VallesASVSpain3826660.256±0.2023
Asturiana de MontanaASMSpain191810.070±0.0502
Avilena Negro IbericaAVISpain71150.270±0.2143
BarrosãBARPortugal334290.073±0.1042
BerrendaBERSpain5320.200±0.2832
BetizuBEBSpain17170.000±0.0001
Brava de LideBRVPortugal2622310.122±0.0913
CachenaCCHPortugal251240.027±0.0382
GarvonesaGARPortugal660.000±0.0001
LidiaLIDSpain6611640.020±0.0283
MallorquinaMALSpain880.000±0.0001
MarinhoaMAHPortugal17170.000±0.0001
MaronesaMARPortugal23230.000±0.0001
MertolengaMRTPortugal217112100.378±0.2735
MinhotaMINPortugal28280.000±0.0001
MirandesaMIRPortugal23230.000±0.0001
MoruchaMORSpain550.000±0.0001
MostrencaMOSSpain21210.000±0.0001
PajunaPAJSpain41210.444±0.3423
PretaPRTPortugal29115220.158±0.1784
RetintaRETSpain6420.178±0.2512
Rubia GallegaRGASpain44440.000±0.0001
SayaguesaSAYSpain81520.202±0.2863
TudancaTUDSpain10100.000±0.0001
Total 568 44 57 1 1 1 1 1 277 17 140 28 0.335±0.244 11
Central (CEN) Blonde d'AquitaineBDAFrance5320.200±0.2832
Bruna de los PirinedsBPISpain11110.000±0.0001
BushaBUSSerbia550.000±0.0001
CabanninaCABItaly2110.333±0.4712
CharolaisCHAFrance313010.022±0.0302
LimousinLIMFrance24240.000±0.0001
MontbeliardMBEFrance660.000±0.0001
ParthenaisePARFrance154110.279±0.1982
PiemontesePIMItaly132110.094±0.1332
PinzgaurPGZAustria990.000±0.0001
PirenaicaPIRSpain10820.119±0.1682
PustertalerPUSItaly13130.000±0.0001
SalersSALFrance201190.067±0.0472
SimmentalSIMSwitzerland15150.000±0.0001
Swiss BrownSWBSwitzerland14140.000±0.0001
TarentaiseTARFrance18180.000±0.0001
Tyrolean GreyTYGItaly192170.066±0.0942
Total 230 5 4 215 1 5 0.056±0.045 5
British (BRT) Aberdeen AngusABAScotland272070.133±0.1882
AyrshireAYRScotland16160.000±0.0001
British WhiteBWHEngland21161130.252±0.1114
DexterDEXIreland440.000±0.0001
GallowayGALScotland990.000±0.0001
HerefordHEREngland212010.063±0.0452
HighlandHIGScotland10100.000±0.0001
JerseyJERJersey19190.000±0.0001
Total 127 56 8 20 21 22 0.413±0.226 5
Nordic (NOR) Blacksided TroenderSTNNorway770.000±0.0001
DoelaDOLNorway440.000±0.0001
Eastern FinncattleEFCFinland9180.148±0.1052
Eastern Red PolledORANorway550.000±0.0001
FjallnaraFNRSweden330.000±0.0001
IcelandicICLIceland880.000±0.0001
Northern FinncattleNFCFinland330.000±0.0001
Norwegian (commercial, hybrid)NRFNorway12120.000±0.0001
Swedish MountainSFRSweden880.000±0.0001
Swedish Red PolledROKSweden330.000±0.0001
TelemarkTELNorway220.000±0.0001
Western FinncattleWFCFinland990.000±0.0001
Western FjordVFJNorway6330.200±0.2832
Western Red PolledVRANorway3210.222±0.3142
Total 82 64 4 6 8 0.222±0.161 4
Baltic Red (BHR) AnglerANGGermany10100.000±0.0001
Danish RedRDMDenmark191810.070±0.0502
Latvian Blue (native)LBLLatvia990.000±0.0001
Latvian Brown (commercial)LBRLatvia880.000±0.0001
Latvian Danish RedDARLatvia7340.381±0.2692
SuksunskayaSUKRussia5410.267±0.1892
Ukrainian Red SteppeRSTUkraine5140.133±0.1892
Total 63 1 56 6 0.126±0.090 3
North-West (NWE) Belgian BlueBWBFrance211920.060±0.0852
Belgian RedBREBelgium440.000±0.0001
NormandNORFrance46460.000±0.0001
ShorthornSHNBelgium19190.000±0.0001
Total 90 19 71 0.112±0.159 2
Lowland Pied (LLP) Dutch BeltedDUBNetherlands8350.357±0.2532
Friesian-DutchFRHNetherlands880.000±0.0001
German Original Black Pied-WestBPWGermany330.000±0.0001
Groningen WhiteheadGWHNetherlands660.000±0.0001
Holstein FriesianHFRNetherlands656410.021±0.0152
Jutland (old native)SJMDenmark660.000±0.0001
Meuse-Rhine-YsselMRYNetherlands990.000±0.0001
Red Holstein dual typeRH2Netherlands11n/a1
Total 106 100 1 5 0.072±0.039 3
Eastern (EAS) BestuzhevBZHRussia440.000±0.0001
IstobenskayaISBRussia990.000±0.0001
KalmykKALRussia12120.000±0.0001
KholomogorskayaKHORussia660.000±0.0001
PechorskayaPCHRussia770.000±0.0001
Ukrainian WhiteheadedUWHUkraine114160.388±0.2763
Yakutian cattleYKTSiberia232210.029±0.0412
YaroslavskayaYARRussia330.000±0.0001
Total 75 33 1 6 34 1 0.373±0.247 5
Overall 111 breeds 1472 44 20 448 8 25 1 6 14 1 1 2 1 7 559 18 259 1 36 21 0.422±0.269
Several of the breeds that do not confirm this northern Y1 – southern Y2 distribution pattern appear to have been subject to recent introgression from breeds with similar coat colour [34], but carrying the other Y-chromosomal haplogroup. Thus, Y2 was introduced in Dutch Belted (DUB) by crossbreeding with belted Galloway bulls. Danish Red bulls probably introduced Y1 into the Sicilian Modicana (MOD). The presence of Y1 in central dairy breeds, such as Simmental (SIM), Pezzata Rossa Italiana (PRI) and Hinderwald (HIW), is probably explained by crossbreeding with Red Holstein sires. Likewise, crossbreeding with Lowland Pied or English cattle probably accounts for the predominance of Y1 in Russian dairy cattle [35]. Y-chromosomes act as a single haplogroup and are, in general, homogeneous at the Y-chromosome variation level. In most cases, the presence of Y1 and Y2 haplotypes in a given breed can be explained by its recent history [14].

Cattle haplotypes detected through SNPs and microsatellites

The diversity within each haplogroup was further assessed by genotyping INRA189 [36] and BM861 [37] Y-specific microsatellite markers. The combination of these data with previously published Y-chromosomal haplotypes [14], [22], [31] yielded haplotypes for a total of 1472 animals from 111 breeds, a subset of the individuals for which SNP information was available. Haplotype composition and absolute frequencies, as well as unbiased estimates of haplotype diversities with the associated standard deviations (SD) are shown for each breed and geographic group in . We found a total of 19 composite Y-haplotypes. The relationship between current haplotype nomenclatures is summarised in . Locus INRA189 is the most informative marker with 10 alleles, differentiated among five Y1 and nine Y2 haplotypes. For 21 bulls belonging to the Indian and Southwest Asian breed groups, haplogroup Y3 was identified via the INRA189-88 bp allele. Microsatellite marker BM861 defines one additional Y1 and three Y2 additional haplotypes. Haplotype Y1-98-158 is the most frequent within the Y1 haplogroup and is detected in 82% of the animals from this haplogroup across all geographic breed groups with the exception of the Indian and Podolian. Within the Y2 haplogroup, Y2-102-158 and Y2-104-158 haplotypes account for 62% and 29% of the animals respectively. A map showing the distribution of Y-haplotypes is included in . Y-chromosomal diversity within breeds is low (mean of 0.42±0.3) with fixed haplotypes in 65 out of 111 breeds (approximately 59%). Interestingly, the Southwest Asian breed group is the most genetically diverse, with a total of seven haplotypes detected in a limited sample of 24 animals, and an unbiased expected haplotype diversity of 0.57±0.4 ( ). The Iberian and British groups have intermediate variability, with 11 and five haplotypes observed and diversities of 0.34±0.2 and 0.41±0.3 respectively.
Table 2

Haplotypic data for the breeds typed for the Y1-Y2-Y3 SNPs and the two microsatellite loci, INRA189 and BM861.

Geographic groupingSNPsMean number of samples / breedMicrosatellitesMean number of samples / breedTotal number of haplotypesHaplotype diversity (± SD)
BreedsSamplesBreedsSamples
India (IND)2168.02168.010.000±0.0
Africa (AFR)114n/a112n/a30.247±0.2
Southwest Asia (SWA)7253.67243.470.574±0.4
Podolian (POD)1218415.38799.940.193±0.2
Iberian (IBE)3165121.02756821.0110.335±0.2
Central (CEN)3045315.11723013.550.056±0.1
British (BRT)1016416.4812715.950.413±0.3
Nordic (NOR)14956.814825.940.222±0.2
Baltic Red (BHR)9778.67639.030.126±0.1
North-West (NWE)512625.249022.520.112±0.1
Lowland Pied (LLP)920823.1810613.330.072±0.1
Eastern (EAS)8749.38759.450.373±0.3
Overall 138 2087 15.1 111 1472 13.3 19 0.422±0.3

Phylogeography of Y-haplotypes

The phylogenetic relationship among Y-haplotypes was investigated after grouping the breeds into 12 regions on the basis of geography and/or phenotype [34], [38]. These breed groups are in agreement with major clusters as defined by autosomal microsatellite (unpublished results; see also ) and SNP data [7]. Haplotype relationships are depicted in by a median-joining (MJ) network obtained for the complete dataset, as well as by regional MJ networks defined for each of the 12 geographic breed groups. The MJ networks clearly differentiate the indicine Y3 patriline from the taurine Y1 and Y2 haplogroups. The regional networks depict the Y-chromosome diversity found in each region and the relationship among the observed haplotypes defined by the two microsatellites.
Figure 2

Median-joining networks of Y-chromosome haplotypes using SNPs and two microsatellite markers.

The size of each circle represents the number of chromosomes present in each haplotype. (a) Haplotype relationships for the complete dataset. (b) Regional networks defined for 11 geographic breed groups (India excluded). Haplotypes are indicated with the colouring scheme shown in (b).

Median-joining networks of Y-chromosome haplotypes using SNPs and two microsatellite markers.

The size of each circle represents the number of chromosomes present in each haplotype. (a) Haplotype relationships for the complete dataset. (b) Regional networks defined for 11 geographic breed groups (India excluded). Haplotypes are indicated with the colouring scheme shown in (b). AMOVA results are presented in and show a significant (P<0.0001) effect of geographical breed grouping, which accounted for 31% of the total variability. Approximately 51% (P<0.0001) of the Y-chromosome genetic variation was found among breeds within groups and 18% (P<0.0001) within breeds. This was confirmed by the generally high Y-chromosomal F values () of all pairwise breed clusters, which were low mainly for the comparison of the dairy north-western European breed clusters. In , Y-chromosomal haplotypes have been indicated in a NeighborNet phylogenetic network of Reynolds' distances based on 30 autosomal microsatellite data. This shows a clear consistency between Y-chromosomal variation and the breed relationships in the autosomal-based phylogeny, with only the British Y2 and Iberian Y1 cattle as major exceptions [as in 14], [15].

Discussion

Differentiation of paternal lineages in European cattle

We analysed Y-chromosomal haplotypes in a comprehensive sampling of European cattle. This allowed a differentiation of two SNP-based taurine haplogroups, which were resolved into 18 haplotypes using genotypes from two microsatellite markers. Locus INRA189 appeared to be, by far, the most informative and, in combination with the other marker and SNPs, showed that paternal lineages strongly depend on geographic origin. A further differentiation was demonstrated by using other microsatellites [14], [22], [31]. For instance, BYM1 alleles defined a Y1-98-158 variant in Nordic cattle and a Y2-102-158 variant in Spain [14], while DYZ1 detected a different Y2-102-158 variant in Southwest Asian breeds [31].

Distribution of zebu and taurine haplotypes

Previous genetic studies have demonstrated a separation of the mitochondrial [39], [40], [41], Y-chromosomal [25], [42], [43] and nuclear [21] DNA from taurine and zebu cattle, which supports independent domestications in the Fertile Crescent and Indus valley respectively [44]. In a diverse panel of 2009 European cattle, we exclusively found taurine Y-chromosomal haplotypes. This implies that the zebu alleles found for autosomal markers in the Podolian [6], [45], [46], [47], Iberian [6], [48], [49] and Ukrainian Whitehead [31] breeds came to Europe indirectly, presumably via Anatolia, North Africa or north of the Black Sea. In addition, the presence of zebu Y-chromosomes in Southwest Asia indicate that zebu introgression only took place after the expansion of domestic taurine cattle from Southwest Asia towards Europe [16].

Taurine haplogroups

The divergence of the two haplogroups Y1 and the Y2 without intermediate haplotypes suggests that domestication combined paternal lineages originate from two diverged populations. Remarkably, both haplogroups were found in Southwest Asia. In Europe, the Y1 and Y2 haplogroups found in extant cattle exhibit a clear geographic structure, with Y1 restricted to northern European and Iberian breeds. Initially, this was explained by local aurochs introgression, supposed to carry the Y1 lineage [25]; however, this does not account for the presence of Y1 in Southwest Asia. In addition, a subsequent study [27] exclusively found Y2 haplogroups in European aurochs. We note that this does not exclude that the Y2 lineage was partially contributed by local aurochs, nor that conditions of Neolithic farming may have created opportunities for male introgression from wild animals. However, several analyses of mtDNA have clearly demonstrated that domestic maternal lineages originate from Southwest Asia, with only sporadic female aurochs introgression [11], [12], [16], [50], [51]. An obvious possibility is that the current Y-chromosomal haplogroup distribution reflects Neolithic immigration routes. According to archaeological evidence, the dispersal of agriculture in Europe started in Greece around 7,000 BC, moved to southern Italy circa. 6,000 BC, and then along a southern route into the western Mediterranean between 5,600 and 5,400 BC, reaching Portugal around 5,300 BC. Migration along the continental route into Poland and Germany occurred between 5,500 and 5,300 BC, reaching north-western France around 5,000 BC; southern Scandinavia, the British Isles and Ireland were reached circa. or after 4,000 BC [52], [53], [54]. It is generally accepted that agriculture spread via these two routes: the Mediterranean route and the Danubian (or continental) route. Although Y1 has a clear presence in Iberian cattle, Y2 paternal lineages dominate in the present Mediterranean area. A founder effect in Danubian immigrants could have caused the dominance of Y1 in northern Europe. In this scenario, the presence of Y1 in Iberia would have resulted from movements along the Atlantic seaboard, as documented by the Neolithic archaeological record [55], and the presence of two haplogroups in Britain may indicate a convergence of immigrants of both routes. Alternatively, colonisation of Britain may have predated the expansion of Y1, which could have arrived in Britain later via the documented import of Dutch sires in the 18th century. This would be in line with analysis of skeletal remains excavated in Sweden, showing that Y1 bulls replaced Y2 bulls during or after the late Middle Ages [26], although Y1 cattle were taken to Iceland by the Vikings c. 1,000 AD. However, a Y1 founder effect, long after the introduction of domestic cattle in northern Europe, is the most consistent with the haplotype diversity pattern. Y1 samples identified in Africa are more likely to be the result of a recent introgression of European cattle rather than the expansion of a genetically heterogeneous sire population domesticated in the Fertile Crescent. Y-specific microsatellite data confirm the existence of a Y2 haplotypic subfamily in African cattle restricted to the African continent [14], [15].

Distribution of haplotype diversity

The comprehensive coverage of our study permits a comparison of the diversity of paternal lineages in different regions. Even in a limited sampling, Southwest Asian cattle contain seven out of the 19 taurine haplotypes identified in this study. This supports the theory that the Fertile Crescent was a major centre of cattle domestication and that European cattle are a subset of an initially diverse Southwest Asian domestic population. The high diversity in Spain and Portugal is probably explained by the isolated position of the Iberian Peninsula, by which much of the original diversity has been conserved. However, the increased diversity may also have been influenced by African introgression, which is consistent with mitochondrial and autosomal information [6], [10], [22], [56], [57]. The diversity in Italian cattle, including the Tuscan breeds with their unusual mtDNA diversity [58], is less than that exhibited in Iberian breeds, with two major Y2 haplotypes. As noted above, the presence of both Y1 and Y2 haplotypes in Britain and the Nordic region may reflect multiple arrivals of cattle, which probably also explains the diversity in Russian cattle. The diversity in the Mediterranean countries, and in the northern and eastern periphery of Europe, is in striking contrast, with near homogeneity of paternal lineages in north-central and central Europe. The black-pied, red-pied and solid red dairy cattle originating from the Dutch, German and Danish lowlands almost exclusively carry the Y1-98-158 haplotype. We propose that this reflects a founder effect associated with the prehistoric development of dairy farming [59]. Dairy farming by Germanic people in the Roman period has been well documented [Strabo AD23, as translated in 60], while, in the Mediterranean area, cattle were mainly used for draught power and meat consumption [61]. This is consistent with the origin of human lactase tolerance in central Europe [61]. In the 18th century, Rinderpest epidemics led to a replacement of Dutch cattle, with their various coat colours, by black-pied cattle from the Holstein region [34], [62]. These became the ancestors of the highly productive Dutch black-pied cattle, which were exported to several countries. Similarly, the related dairy Red Angler and Danish Red spread to the Baltic countries, Russia and Germany [34], [63]. A different haplotype, Y2-102-158 is predominant in southern France, southern Germany and the Alpine region ( ). Many of the present Alpine short-headed cattle are derived from, or related to, the mixed-purpose Simmental and Swiss Brown cattle. It is not known when these types of cattle were developed, although archaeological findings indicate an ancient origin of milk consumption in Switzerland [64] and dairy farming in the Roman period has been documented [Pliny the Elder AD77, as translated in 65]. An increase in size of Swiss cattle during the Roman period further suggests importation of Italian cattle [64]. The predominance of a single Y2 haplotype may indicate again a founder effect. Just as the northern-central European dairy breeds, the Alpine breeds also spread to the surrounding regions. Simmentals were exported to several countries and also used for upgrading of local breeds [34]. Swiss Brown has been crossed with German, Italian and Spanish brown mountain breeds, as well as in the Asturian Valley [66]. We propose that historic or recent spreading of popular breeds acts on genetic diversity patterns and, by the selection of proven sires, has a homogenising effect on paternal lineages. However, southern French beef breeds also carry exclusively the Y2-102-158 haplotype. A close relationship of southern French and Alpine breeds is indicated by autosomal AFLP profiles [9], SNPs [7] and microsatellite genotypes (unpublished results; ). One explanation might be that contacts of Transalpine Gallic people facilitated gene flow, for instance, during a repopulation of Gallia after the devastating Gallic wars. More recently, the Great Famine, from 1315 to 1317, north and west of the Alps may very well have decimated the French cattle and led to the introduction of Alpine cattle. After the Middle Ages, when the size of cattle started to increase, these would have developed into the present beef types. The divergence of paternal lineages in north-central and central groups of dairy cattle is fully in agreement with their separate positions as indicated by autosomal markers (; [7], [9]). This may constitute evidence for independent developments of dairy cattle in different European regions. The Dutch cattle has been crossed with British breeds [34], but not in the Jersey Island dairy cattle, which obviously developed its high milk production separately. An important implication is that in different regions breeding for milk production selected other gene variants, and that crossbreeding of the different categories of dairy cattle is expected to generate potentially useful allelic combinations. Apparently, the expansion of the dairy breeds have created, or largely maintained, a sharp genetic contrast of northern and southern Europe, which divides both France and Germany. It may be hypothesised that the northern landscapes, with large flat meadows, are suitable for large-scale farming with specialised dairy cattle (Niederungsvieh, lowland cattle), whilst the mixed-purpose or beef cattle (Höhenvieh, highland cattle) are better suited to the smaller farms and hilly regions of the south. However, it is also remarkable that in both France and Germany the bovine genetic boundary coincides with historic linguistic and cultural boundaries. In France, the Frankish invasion in the north created the difference between the northern langue d'oïl and the southern langue d'oc. The German language is still divided into the southern Hochdeutsch and northern Niederdeutsch dialects, which also correlates with the distribution of the Catholic and Protestant religions. On a larger scale, it is tempting to speculate that the difference between two types of European cattle reflects, and has even reinforced, the traditional and still visible contrast of Roman and Germanic Europe. We conclude that analysis of paternal lineages contributes to a reconstruction of the history of cattle husbandry. A differentiation of more haplotypes [14], [15], [22], [31], and especially the analysis of historic DNA, may answer the question of the European aurochs contribution, as well as indicating a time depth for the successive genetic events that have created the present pattern of genetic diversity.

Materials and Methods

Sample collection

Details on sample collection and DNA isolation can be found in previous publications from the participating laboratories [14], [22], [31], [67]. Breeds, geographic origins and sample sizes are shown in . This dataset comprises a total of 138 breeds and 2087 individuals. Apart from the 16 zebu (Bos indicus) samples from India, all animals were Bos taurus. Based on breed histories and geographical origin, a total of 12 geographic breed groups were defined as follows: India (2 breeds), Africa (1), Southwest Asia (7), Podolian (12), Iberian (31), Central (30), British (10), Nordic (14), Baltic Red (9), North-West (5), Lowland Pied (9) and Eastern (8).

Sequencing and genotyping

Segments of the ZFY, SRY and DBY genes were PCR-amplified and sequenced as previously described [32]. As indicated in , individual SNPs were typed by pyrosequencing [25], [30], sequencing [14] or by custom service via the Taqman (Van Haeringen Laboratory, Wageningen, Netherlands) or KASPar (K-Bioscience, Hoddesdon, UK) procedures. Several samples were analysed by more than one method. The Y-chromosomal microsatellites BM861 [37], INRA189 [36], INRA124 and INRA126 [68] were genotyped as described in previous publications [14], [30], [31], [67]. Results from INRA124 and INRA126 were discounted due to these markers showing amplification in female samples [69]. Allele sizes were standardised via known fixed alleles from several samples or breeds analysed by the different laboratories (Dublin, Jokioinen, Davis and Gijon). Y-haplotypes were defined for each individual by combining data from both SNPs and microsatellite loci (SNP-INRA189-BM861). Genotyping of the FAO-recommended autosomal microsatellites has been described previously [5], [35], [70].

Statistical analyses

Variability at the DNA level was assessed in each breed and within each geographic group by estimating the unbiased expected genetic diversity [71], and by an analysis of molecular variance (AMOVA), using ARLEQUIN version 2.0 [72]. Phylogenetic relationships among haplotypes were analysed by constructing median-joining (MJ) networks for each region using the algorithm of Bandelt et al. [73], as implemented in the NETWORK (Version 4.156; www.fluxus-engineering.com). Map showing distribution of SNP Y-haplotypes in: (a) Europe, and (b) Eurasia. Haplotypes are indicated with the colouring scheme shown in (b). Abbreviations of breed names are given in Table 1. (PDF) Click here for additional data file. NeighborNet graphs of Reynolds' distances, based on 30 autosomal microsatellites. Haplotypes are indicated with the same colouring scheme as for: (a) maps in , and (b) maps in . Abbreviations of breed names are given in Table 1. (PDF) Click here for additional data file. (DOC) Click here for additional data file. (DOC) Click here for additional data file. (DOC) Click here for additional data file. (DOC) Click here for additional data file.
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6.  Microsatellite DNA variation and the evolution, domestication and phylogeography of taurine and zebu cattle (Bos taurus and Bos indicus).

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1.  Detection and Classification of Hard and Soft Sweeps from Unphased Genotypes by Multilocus Genotype Identity.

Authors:  Alexandre M Harris; Nandita R Garud; Michael DeGiorgio
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Authors:  Andrey Yurchenko; Nikolay Yudin; Ruslan Aitnazarov; Alexandra Plyusnina; Vladimir Brukhin; Vladimir Soloshenko; Bulat Lhasaranov; Ruslan Popov; Ivan A Paronyan; Kirill V Plemyashov; Denis M Larkin
Journal:  Heredity (Edinb)       Date:  2017-12-08       Impact factor: 3.821

3.  Design of a bovine low-density SNP array optimized for imputation.

Authors:  Didier Boichard; Hoyoung Chung; Romain Dassonneville; Xavier David; André Eggen; Sébastien Fritz; Kimberly J Gietzen; Ben J Hayes; Cynthia T Lawley; Tad S Sonstegard; Curtis P Van Tassell; Paul M VanRaden; Karine A Viaud-Martinez; George R Wiggans
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6.  Genetic footprints of Iberian cattle in America 500 years after the arrival of Columbus.

Authors:  Amparo M Martínez; Luis T Gama; Javier Cañón; Catarina Ginja; Juan V Delgado; Susana Dunner; Vincenzo Landi; Inmaculada Martín-Burriel; M Cecilia T Penedo; Clementina Rodellar; Jose Luis Vega-Pla; Atzel Acosta; Luz A Alvarez; Esperanza Camacho; Oscar Cortés; Jose R Marques; Roberto Martínez; Ruben D Martínez; Lilia Melucci; Guillermo Martínez-Velázquez; Jaime E Muñoz; Alicia Postiglioni; Jorge Quiroz; Philip Sponenberg; Odalys Uffo; Axel Villalobos; Delsito Zambrano; Pilar Zaragoza
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

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Authors:  Barbara Wallner; Claus Vogl; Priyank Shukla; Joerg P Burgstaller; Thomas Druml; Gottfried Brem
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