Next Article in Journal
InDel DNA Markers Potentially Unique to Kaluga Sturgeon Huso dauricus Based on Whole-Genome Resequencing Data
Next Article in Special Issue
Stable Isotopes and Herding Strategies in Middle Uruk Period in Tell Humeida (Syrian Euphrates Valley)
Previous Article in Journal
Formica gagatoides Ruzsky, 1904, and Siberian F. kozlovi Dlussky, 1965 (Hymenoptera: Formicidae); Two or One Species?
Previous Article in Special Issue
Holocene Genetic Evolution of Pig (Sus scrofa) on Romanian Territory in a European Time and Space Frame
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The mtDNA D-Loop Legacy of Cattle: Fluctuations in Diversity from the Neolithic to Early Medieval Times in Switzerland

1
Integrative Prehistory and Archaeological Science (IPAS), Department of Environmental Sciences, University of Basel, Spalenring 145, CH 4055 Basel, Switzerland
2
BioArCh, Department of Archaeology, University of York, Environment Building, Wentworth Way, York YO10 5NG, UK
3
Römerstadt Augusta Raurica, Giebenacherstrasse 17, CH 4302 Augst, Switzerland
4
Archäologie Baselland, Amt für Kultur, Amtshausgasse 7, CH 4410 Liestal, Switzerland
*
Authors to whom correspondence should be addressed.
Diversity 2023, 15(5), 687; https://doi.org/10.3390/d15050687
Submission received: 24 April 2023 / Revised: 12 May 2023 / Accepted: 14 May 2023 / Published: 19 May 2023

Abstract

:
Fluctuations in the size of taurine cattle (Bos taurus) have been regularly demonstrated using archaeozoological data from across time and space in Europe, and have been linked to cultural, social and economic changes, but little is known about whether phenotypic change is accompanied by changes in genetic diversity. Here, we performed PCR-typed analysis of the partial mtDNA d-loop fragments of 99 cattle from the Neolithic to Early Medieval times from a number of different sites across Switzerland, combining newly presented data with previously published data (n = 20). We found that most cattle included (84) were members of the common European macro-haplogroup T3. However, cattle belonging to the haplogroups T1, T2, Q and P were identified as early as the Neolithic period, before 2690 cal. BCE. The highest diversity was found in the Neolithic period, during the 1st century CE and during the 7th–8th centuries CE. Bottleneck phases with low genetic diversity were detected during the Late Iron Age and from the fifth to the seventh century CE. Based on the FST values, Horgen, Corded Ware and cattle populations from the seventh to the ninth century CE were plotted away from the clusters of all other populations. The periods with larger-sized cattle correspond with those of high mtDNA d-loop diversity. Phenotype and genotype both appear to respond to the same socio-economic and cultural processes.

1. Introduction

The mobility of people and livestock and the extent of cultural impact on livestock husbandry since domestication around 10,000 years ago have shaped the genotypes and phenotypes in domestic animals through time. Taurine domestic cattle (Bos taurus) spread across Europe with farmers and reached the Alpine foreland and the area now occupied by modern day Switzerland during the second half of the sixth millennium BCE [1]. Since then, cattle have consistently been of large economic importance as providers of meat, milk, traction power, hide and other raw materials [1].
Genetically, mitochondrial (mtDNA) diversity patterns in extant cattle—and in other domesticates—largely reflect the past maternal history of livestock, and their spread with migrating people since domestication is something that has been reflected by this [2,3,4,5,6]. In the case of taurine cattle, large global datasets exist for both extant and extinct mtDNA variations. Yet, their mitochondrial phylogeny is still subject to ongoing research [4]. The recently revised mtDNA phylogenies are most commonly used with data from the mtDNA d-loop [7,8,9]. Typically, three haplogroups have been identified for Europe: T, Q and R. Haplogroup T is mainly represented by subhaplogroup T3, with minor frequencies of T2, T1 and T5, with all having different core areas of geographic distribution [3,7,10,11,12]. Within this context, mitochondrial diversity patterns within Europe have been attributed to dispersals of cattle from the Near East during the Neolithic period [13] with sporadic introgressions of European aurochs [4].
Ancient DNA studies have traditionally paid much attention to the process of domestication and the early spread of, e.g., cattle, [5,14,15,16]. However, in recent years, the focus has increasingly been turning to the cultural impact of cattle during later time periods across Europe and the Near East, for example, from Iberia, Austria, the Baltic region, Sweden, Hungary, Lithuania, Switzerland, Scotland and the Eastern Mediterranean region [17,18,19,20,21,22,23,24,25].
In this paper, we present some data from Switzerland, discussing diachronic changes in cattle from the Neolithic through to the Early Medieval period. Here, we give a brief overview of the cultural periods included in this study.
The Neolithic period in Switzerland is characterized by the so-called lake-dwelling phenomenon, which included many wetland sites forming part of the UNESCO world heritage entitled “Prehistoric Pile Dwellings around the Alps” (https://www.palafittes.org/homepage.html, accessed on 1 April 2023). A number of phases of cattle husbandry have previously been defined, broadly following the cultural changes [26,27] starting at around 4400 cal BCE. During the earliest phases, the cattle economy seemed to have focused on meat, but during the period from around 4000–3400 cal BCE (the Cortaillod and Pfyn cultures), we see the first evidence for the use of secondary products, such as milk and labour, indicating a diversification in the economy [28,29,30]. During the Horgen culture (3400–2800 cal BCE), proportions of cattle decreased (with pigs having more of a focus) and cattle also became smaller [28], a pattern that was reversed around 2800–2500 cal BCE, where an increase in cattle prevalence and body size is seen broadly concurrent with the arrival and influence of the Corded Ware Culture in eastern Switzerland, and the Auvenier Cordé in western areas [26,31,32]. There is evidence for specialised use of cattle for labour [28,33] and possibly for the introduction of a new cattle population into the area [32].
The Bronze Age (ca 2200–1300 BCE) is characterized by metallurgical innovations and a resulting intensification of trade networks. Lake dwellings disappeared [34] and settlements were established in marginal areas, such as the alpine region. Among the domestic animals, cattle were the most common animal in most regions, especially in the eastern part of Switzerland. In addition to the food economy, cattle were also crucial for trade and transport [35,36].
In the Iron Age (from the fifth century BCE), proto-urban centres, oppida, were founded in the Northern part of Switzerland [37]. Cattle were as important as in the Bronze Age, although their body size was rather small. However, during the late Iron Age, their significance grew, together with their body size. The most likely explanation for the latter is an already increasing Roman influence in Switzerland [38]. Despite the fact that most people of the Late Iron Age still had problems digesting fresh milk, organic residue analysis on ceramic sherds confirms the production of dairy products, such as cheese [39,40].
The rise of the Roman Empire was transformative for many parts of Europe, with major innovations in animal husbandry, as documented by historical sources along with archaeozoological data [41,42,43,44]. In Switzerland, cities arose, which were first built from wood and later (around 50 CE) by stone. These were surrounded by large networks of farming sites, the villae rusticae, where domestic animals were kept [45] to provide for the cities. For cattle, MacKinnon in 2010 [46] suggested the establishment of geographical “breeds” in Roman Italy, which were selected for their appearance (size and colour), working capacity or milking ability. Morphometric data from cattle remains in Europe indicate a general size increase with regional variations in speed, extent and onset. Several explanations for these changes have been discussed, including the import of new cattle and/or local improvement in husbandry, and it appears that cattle improvement at this time was a complex and regional process [47,48,49,50,51,52,53].
With the start of the Early Medieval period, after the collapse of the Roman Empire and the departure of Roman administration and military at the end of the fourth century CE, cattle became less frequent and experienced a considerable reduction in size [42,54,55,56]. This process continued until the High Middle Ages (11th–12th century CE) and has been independently observed in both male and female cattle [42,54]. It has been suggested that these changes were due to the development of feudal structures from a market-oriented production to an economy more dependent on self-subsistence. This might have led to changes in management practices, limited regional livestock mobility, and little or no genetic improvement of livestock [42].
The aim of this study was to explore whether some of the broad cultural changes mentioned above were accompanied by shifts in the genetic signature in regional cattle herds. We examined nucleotide diversity within the mitochondrial (mtDNA) d-loop in cattle from the Neolithic to the Early Medieval period in Switzerland. The data were collected over many years across a number of projects. They represent specific local patterns, and future work on cattle may reveal whether our findings can be generalized across the whole of Switzerland and beyond.

2. Materials and Methods

2.1. Archaeological Cattle

The prehistoric cattle samples included in this study are from the Horgen layers at the site of Twann (canton Bern), the Corded Ware layers at the site of Zurich Versicherung Mythenquai (canton Zürich), and the Late Iron Age site Basel-Gasfabrik (canton Basel-Stadt). The data from the Roman period are from Augusta Raurica (cantons Basel-Landschaft and Aargau), and the Early Medieval cattle data included are from Lausen and Reinach (canton Basel-Landschaft). The analyses were complemented with previous published results from the Bronze Age site of Savognin Padnal (canton Grison) and one additional individual from Horgen Twann [57,58]. The size data were modified from [32,42,59] (Figure 1). The layers and sites were dated either typologically based on material culture or by dendrochronology (Twann, Zürich). The details for all sites are given in (Supplementary Material Table S1, Supplemental Text S1).

2.2. Methods

The lab work was carried out over a time period of more than 20 years, during which the methods used were adapted, namely the reduction of amplicon length, focusing on a targeted d-loop region; a change from a self-made silica-based extraction and cloning [60,61] to the use of a Qiagen Blood and Tissue Kit and direct sequencing [58] with more powder; an increase in cycles from 35 up to 70; and an increase in AmpliTaq, reflecting the advances in aDNA research and availability of sequence information from mtDNA. Below the different methods for the cattle samples from different sites are briefly described. Because of the very different methodological approaches used through time, amplification success rates have not been compared.

2.2.1. DNA Extraction and PCR Amplification

Late Iron Age and Early Roman period R1: the archaeological bone samples were prepared and processed as described in detail using the primer ANnumber [60,61] (Table S2).
Horgen, Corded Ware, Roman R2, R3, R4, EEM, and LEM: extraction was performed with a Qiagen Blood and Tissue Kit optimized for teeth and bone samples with the primer Hnumber following [58,62] (Table S2).
DNA preservation is unfavorable in the waterlogged sediments from Twann and Zürich [58] (for Twann, 6 out of 16 specimens, and for Zürich Versicherung, 5 out of 32 specimens were successful), resulting in few reproducible PCRs of mtDNA d-loop targets. The same applies to Basel-Gasfabrik, where cattle bones were preserved dry. Low amplification success was also observed for human remains from the same site [63].
We argue that, even with the small sample size, overall diversity is still captured because the genetic diversity between the time periods covered even by a small number of samples is very different and not dominated by the expected dominant T3 haplotype.
We followed the authenticity criteria established by the IPAS [58,62], in particular physically separated labs for sample preparation, DNA extraction and PCR set-up of aDNA, with dedicated equipment and lab ware.

2.2.2. Sequence Analysis and Haplotype Identification

Concatenated sequences from all target regions were aligned with Bioedit v7.2.5 [64] and MEGA-X [65] and compared to the reference sequence V00654 [66]. Haplogroup assignation was undertaken by eye with diagnostic positions according to Achilli et al. (2009) [8] and Bonfiglio et al. (2012) [7] based on the individual length and the position of the sequence generated within the d-loop (pos. 16041–16271 and 33–198) (Table S3). The identification of members of the T1 haplogroup based on short d-loop fragments is problematic [4] due to recurrent mutations or diagnostic motifs outside the d-loop. We defined T1 using SNPs at position 16050 together with position 16113. However, Bonfiglio et al. (2012) [7] reported rare T1 types missing either SNP 16050 or SNP 16113, namely T1e and T1f based on mitogenomes. We assigned “cf T1” (Latin conferre) in cases where exact identification was not possible, but plausible.

2.2.3. Population Parameters

Population parameters of 189 bp (pos. 16041–16271) from the concatenated sequences in common for all sequences were calculated using Arlequin 3.5.2.2 [67] based on pairwise distances, using alpha distribution of gamma 0.11 [68].
A median-joining network was calculated using Network (version 10.2) (http://www.fluxus-technology.com, accessed on 1 January 2023) [69]. This was based on 189 bp shared between all units and using the default settings and a weight of 10 for all 35 SNPs. The only exceptions were SNPs at positions 16129 and 16255, which were set to 1 to reduce median vectors and cubes. The cattle individual with haplogroup P was not included [58].
Archaeological cattle were grouped chronologically, following, in case of Roman and Medieval times, Grau Sologestoa et al. (2021) [42] (Table S1): 3093–3072 cal BCE (Ho, Horgen), 2720–2690 cal BCE (CW, Corded Ware), 1950–800 BCE (BA, Bronze Age) [57], 170/150–100/90 BCE (IA, Late Iron Age), R1 (1st half of 1st century CE), R2 (2nd half of 1st century CE), R3 (2nd century CE), R4 (3rd–4th century CE), EEM (5th–7th century CE), and LEM (7th–8th century CE). Due to the nature of the typological dating methods used, some samples have dates that overlap time groups (see Table S1).
AMOVA statistics and linearised Slatkin’s FST based on pairwise distances from archaeological cattle were computed using Arlequin (version 3.5.2.2) [67] and analysed via non-metric multidimensional scaling (MDS) using the PAST software version 4.0 [70] with the Euclidean similarity index.
All sequences were deposited with Genbank, accession numbers OQ446331-OQ446408.

2.3. Biometry

In order to contextualise our genetic results within their archaeozoological context, cattle biometrical data from across Switzerland were collected from available publications and plotted for the same time periods as for the genetic data [32,42,59]. The biometrical analysis was based on the log-ratio technique (also known as the “LSI technique”), a size index scaling technique that transforms logarithmically (in this paper, with logarithm base 10-LSI10) the ratio between the measurements taken from archaeological specimens and standard measurements taken from an individual or the mean of a given population, either modern or archaeological. The value resulting from this calculation is the “logarithmic size index” or LSI value. The biometrical analysis was performed in R using the purposely designed package Zoolog [71]. Only widths were considered since they are the most frequently represented axis. Only one measurement per bone and axis was used in the analysis, and only measurements taken on fully fused bones were considered. Zoolog prioritizes the most abundant, more replicable, and less age-dependent measurements. The set of standard measurements used belong to individuals of known sex, age and origin (https://ipna.duw.unibas.ch/fileadmin/user_uload/ipna_duw/PDF_s/PDF/LSIStandards_IPASUniversityBasel.xlsx, accessed on 1 April 2023).

3. Results

3.1. Haplogroup and Haplotype Identifications

In total, 79 cattle bone samples from different time periods were newly sequenced and combined with 20 previously published samples [57,58,60]. Based on diagnostic SNPs [7,8], 84 cattle belong to subhaplogroup T3; of these, 52 are affiliated to the main European T3 haplotype, and the other 32 are different variants of T3. Additionally, two individuals belong to haplogroup T1, five to cf. T1, four to haplogroup T2, three to haplogroup Q and one to haplogroup P (Table S3).
Within the 12 Neolithic (Horgen from Twann and Corded Ware from Zürich) samples, we find cattle belonging to haplogroups T3, T2, cf T1 (SNP 16113), Q (SNP 15953) and P, which represents a high diversity, being present about 2000 years after the first cattle appeared in Switzerland. Interestingly, the two sites differ in haplotype composition: at Twann in the west of Switzerland, three cattle carry cf.T1 haplotype and a small cattle has a P haplotype [58], whereas in the central part (Zürich), T2 and Q were identified. In the Bronze Age sample, T2 and Q cattle were also found, in addition to T3. In the five cattle from the late Iron Age, only T3 haplotypes occurred. In the Roman periods (R1– R4), T3, T2 and two cattle with cf. T1 (either TKH12 SNP 16050 or B32 SNP 16113) are present. In cattle from Early Medieval times (EEM and LEM), two T1 variants different to those seen earlier and including SNPs 16050 and 16113 appear at two different sites (Lausen LSB8 and Reinach MG12), together with T3 (Figure 2, Table S3).

3.2. Genetic and Morphometric Diversity through Time

Shorter sequence lengths were used for diversity and network calculations and for comparison with previously published data from the Bronze Age [57] (see methods), showing reduced diversity (Table S3). The data included in the calculations, however, cover the most variable region of the d-loop.
Both hd (haplotype diversity) and MNPD (mean number of pairwise differences) follow the same overall scheme: high diversity during the Neolithic period with the highest number in the Horgen period at Twann. Diversity measures decreased slightly during the Corded Ware period and the Bronze Age, and then dropped sharply during the Late Iron Age in Basel. With the first Roman contacts in the region in the first half of the first century CE, diversity increased strongly and further until the end of the first century CE (R2). From the second century AD (R3), diversity decreased continuously until the Early Early Medieval period, which is represented by cattle from three sites: Kaiseraugst, Reinach and Lausen. An abrupt rise in diversity during the Late Early Medieval period (LEM) was found in cattle from Lausen and Reinach (Figure 3); yet, in the second century CE (R3), one cf. T1 cattle was detected.
Morphological changes mirror changes in genetic diversity with few exceptions: during the Late Iron Age, cattle seemed to show an increase in size, whereas diversity was quite low, and during the Late Early Medieval period, the converse was true, with cattle showing a decrease in size, but diversity was rising. During the Roman period, the pattern was slightly offset, with genetic diversity dropping off after R2 and the corresponding size decrease not seen until R4. It should be noted that during all time periods, large and small cattle coexisted, although fewer small cattle were observed in R3 and R4.

3.3. Median-Joining Network

A median-joining network approach was used to display the relationships between cattle rather than as a phylogenetic (evolutionary) or phylogeographic tool. The network shows the high diversity and star-like topology around the main T3 haplotype (Figure 4). Cattle belonging to T1/cf. T1 as well as to T2 and Q haplotypes are separated from the T3 types. The sample ZHV29 falls into the T2 branch due to the presence of SNP 16057. Although the main T3 haplotype is shared across all periods, few T3 haplotype variants are shared between or within periods. For example, six T3 variants are shared within the Roman period, and one variant is shared between the Roman and Medieval times (B31). T2 variants are shared between the Bronze Age and Roman periods (B6). The network clearly shows a large number of private haplotypes during all time periods, particularly in R1 where few cattle belong to the main T3 type, resulting in the observed indication of high diversity (see above).

3.4. Relationships between the Archaeological Cattle “Populations”

The results from the AMOVA (analysis of molecular variance [72]) revealed a significant differentiation of cattle from the Horgen and EEM periods compared to most other groups at a 5% level, whereas Late Iron Age cattle are similar to all other groups (Table S4).
Linearised Slatkin’s FST calculation and visualisation with MDS (multidimensional scaling) was used to reveal the relationships between the populations [73]. We used this approach to address the relationship between archaeological cattle “populations” from different time periods. The analysis shows that Neolithic cattle from the Horgen and Corded Ware periods are separated on the x-axis and positioned away from all other “populations”. Those groups cluster close together, regardless of time period, and respective cultural period (Figure 5). The Horgen and Corded Ware periods, in addition to the LEM period, are also separated on the y-axis. The quality of the plot is significant as the stress factor is below 0.1 (stress 0.058, Figure 5).

4. Discussion

We present a diachronic view of mtDNA and size diversity in cattle in Switzerland from the Neolithic (Horgen and Corded Ware) to Medieval periods (eighth century CE).
T3 variants are the most common haplotypes in this study and have been documented all over Europe based on both ancient and modern DNA [3,4,74]. Cattle carrying Q, cf. T1/T1 and T2 genomes are rare, but both T1 and T2 are consistently present through time. T1 cattle are common in Africa but are also found in Iberia, Italy, the Balkans and Southeast Europe [3,4,7,10,75]. The presence of T1, T2 and Q at both Twann and Zurich, north of the alps, at the very end of the fourth century/early in the third millennium BC (3093–3072 cal BCE at Twann and 2720–2690 cal BCE at Zurich) is surprising and is a new insight into early cattle haplogroup distributions. T1 cattle have also been reported in both Iberia for the Neolithic period and Austria in the Iron Age [17,18]. Cattle belonging to haplogroup T2 were extremely rare in ancient times [74]; they are today mainly found across the Balkans and Southeast Europe, with rare occurrences in Switzerland, Italy and Southern France [3,60,74]. Cattle belonging to Haplogroup Q are descendants of another domestication event in the Near East from wild Q aurochs and are today found in low numbers in Italy, the Balkans and Egypt [4,11,13]. The geographical distribution and frequencies of haplogroups in modern cattle have often been used to hypothesise about cattle spread and trade connections in the past [10,17,18]; however, we are cautious about conflating the ancient movement of people with cattle based on current geographical haplogroup distribution, as distribution in the past might have been different to today’s distribution (as has been demonstrated for T1, T2 and Q) [17,18,76,77]. Diversity might have been less diluted than expected from modern cattle mtDNA d-loop data [3,78]. Unfortunately, cattle aDNA data from major regions with an expected cultural impact on Swiss sites (namely from Germany, Italy, France or the Balkans) are currently missing, thus hampering our ability to discuss cattle trade.
The high diversity seen during the Neolithic period, based on haplogroup and haplotype diversity as well as MNDP measures, is best explained by the—expected—initial arrival of early farmers. Interestingly, the haplogroup representation and MNPD values differ between Horgen Twann (presence of cf. T1) in the West and Corded Ware Zürich in central Switzerland (presence of Q and T2). It should be noted that at Horgen Twann, a small biometrically domestic cow with a highly divergent haplogroup P was also found, which was interpreted as evidence of the local introgression of aurochs [58]. The differences seen between these two Neolithic sites could be explained by geography, time or a combination of the two. Twann is located in Western Switzerland, which during the Neolithic period, and indeed beyond, was largely influenced by cultures in the west and south, via the Rhone valley (see, e.g., [26]). The presence of T1 at Twann could, therefore, be related to a Mediterranean influence, as we know that T1 cattle have been present in Iberia since the Neolithic period [17,79]. The presence of Q and T2 at Zurich might relate to the more eastern influence seen at sites in central and eastern Switzerland at the time; however, it might not be a coincidence that these haplogroups were also appearing at around the same time as a larger form of cattle, which might have links to the introduction of Corded Ware in the region [32]. Further work on this time period is clearly needed to investigate this further.
Interestingly, the two Neolithic cattle populations differ from all later populations based on the AMOVA and FST values (MDS plot), indicating a discontinuity in cattle husbandry and trading from the Bronze Age onwards.
During the Bronze Age, new socio-cultural influences came into play, such as mining activities, the arrival of pastoralists from the Pontic steppe region around 2860–2460 cal BCE [80] and a higher female mobility [81]. The AMOVA and MDS ordination of FST values support the indication that cattle from the Bronze Age onwards are very similar to cattle from later periods, although they still carry the T3, T2 and Q genomes. During this period, trade routes across the Alps were known, including one that passed through the hill-top site of Savognin Padnal. This meant that an influx of cattle from the Balkans and from Italy might have taken place [18,36,57,82,83]. The presence of cattle belonging to different size groups has led to the suggestion that new cattle “breeds” might have arrived in this region from northern Italy [84].
During the Late Iron Age, members of the haplogroup Q disappeared in Switzerland and are not known in modern cattle from the area. The cattle from the large Late Iron Age proto-urban settlement, Basel-Gasfabrik, show a genetic bottleneck, and only the T3 haplotypes with low diversity were identified. A possible scenario is that the reduction in diversity is due to a small tight-knit cattle population in the catchment area of the settlement, since a low genetic diversity is observed despite the likelihood of incoming cattle through trade and exchange [85,86]. We know, for example, that the Celts of the Raurici tribe, settling in Basel, had trade networks that stretched to the Mediterranean regions [87]. In this context, the results of our study indicate that it is possible that these networks did not involve the movement of cattle as no animals with anything other than the T3 haplotypes were detected.
A synchronous increase in cattle size and in genetic diversity was observed at around the time of the beginning of Roman influence in the northern alpine foreland (in the first century CE—R1 and R2). Genetically, this is predominantly based on the presence of diverse haplotypes belonging to the haplogroup T3, although one cf. T1 is also present. One potential explanation is the import or trade of large cattle from the Roman motherland to the flourishing trade center of Augusta Raurica on the Rhine River. This would be in keeping with a more widespread scenario that has previously been suggested for other sites across Europe [48].
During the second century CE (R3), the impact of the so-called “Romanization” continued. Farming intensified to supply a growing human population, and cattle played a major role as working animals (ploughing), producers of manure [45] and, in cities, as a source of raw material for crafting [88,89]. By modelling the number of cattle needed for this type of intensive farming, it was suggested that an increasing number of animals must have been present (e.g., at a villa at Biberist, Switzerland [90]). Yet, at this time, we observed a decrease in mtDNA d-loop diversity. One explanation is that our sample did not capture the diversity present at producer sites as all samples are from the colonia Augusta Raurica and found within a taberna-like building, where they were interpreted as being slaughter waste [91]. It is worth considering that, after the first century CE, local breeding with large cattle, which was “imported” earlier, might have played a crucial role in cattle husbandry, leading to the observed low genetic diversity and the continued presence of large cattle in the second century CE. Local breeding of large cattle is additionally supported by the rare but ongoing occurrences of small cattle [49] and the presence of perinatal cattle in villae rusticae [92].
In the late Roman period (R4), war-like disturbances and civil unrest might have interrupted livestock management strategies, leading to the further depletion in cattle diversity [55,93]. Yet, we know that cattle from Pratteln, the site from which most of our samples were taken, were kept in a villa rustica [94,95,96] and that larger cattle were abundant. One individual with a variant of the T1 haplogroup was also present. Consequently, despite the general economic and social upheaval experience at the time, local breeding of large cattle was apparently ongoing as large cattle were still recorded [42]. The AMOVA analyses support a tight continuity within Roman cattle populations, which include more shared haplotypes with the rest of the Roman time groups than with any other time periods.
The Early Early Medieval cattle herds from Reinach, Lausen and Kaiseraugst are even less diverse than the late Roman cattle, indicating that they experienced a severe bottleneck. They were also small sized. After the withdrawal of the Roman military and administration [97], the occupation by Frankish–Alemannic tribes in the region led to changing societal structures, a disruption of animal management systems due to an increase in self-supply [98] and shifting trade networks [55,99]. A low population and a small body size might also be due to other factors, such as diseases or food shortages in the wake of de-intensified farming [100].
In the Late Early Medieval period (eight century CE), cattle of a new T1 haplotype, which were not seen before, are either relics from the initial Neolithic expansion or a renewed import from the south/southwest region. One possible reason for this could be a more intensive long-distance relationship caused by the expansion of the Frankish Empire to the south, reaching Langobardian Italy in 774 CE [55,99,101]. The route along the river Birs and over the Jura Hauensteinmountain pass, which passes both Reinach and Lausen, was part of an important line of communication and trade between the Upper Rhine valley, the Rhone Valley and the Alpine passes [102]. Cattle belonging to the haplogroup T1 are no longer found in modern local breeds in Switzerland and northern Europe today [3,4].
As discussed above, periods of high diversity alternate with bottlenecks. Fluctuations in genetic diversity appear to coincide with past socio-cultural conditions and with size developments of cattle, which have previously been linked with these socio-cultural changes [32,42,59]. Body size is a complex genetic trait with high heritability [103]. It involves many genes in cattle [104] and is also strongly dependent on other factors, such as foddering and health [105,106]. In humans, for example, individual mtDNA variants are associated with disease or complex traits, such as height and body mass index [107], and in cattle, different variants have previously been linked with reproductive traits and milk production [108,109], with further associations likely to be detected in the future [110]. Here, we consider genetic cattle “populations” rather than individuals, and the corresponding developments of cattle size and mtDNA d-loop diversity are not necessarily causative but appear to follow the same cultural–social–economic forces.
Overall, this work is a good starting point for exploring the links between cattle genetics and socio-cultural change in Switzerland and highlights a number of interesting future avenues for research. In the future, new sequencing technologies will be able to inform us further about which genes might have been involved in the size developments of cattle in the past. Ideally, samples also need to be selected from sites with a similar background, geography, climate and temporal coverage in order to compare contemporary cattle populations [79], although this is generally difficult to achieve with archaeological materials.

5. Conclusions

Ancient cattle from Switzerland belonged to a number of haplogroups, mainly to T3, but with low abundances of T2, T1, Q and P, which were particularly abundant during the Neolithic and Bronze Age periods. The presence of cf. T1 variants as early as ca 3000 BCE, as well as Q and T2, corroborates the suggestion that ancient geographic distribution of haplogroups did not reflect modern distributions. Interestingly, T1 variants, although rare, continue to appear throughout all time periods, suggesting an initial introduction with potential for later new introductions.
The diversity measures indicate an alternation between periods of high diversity, indicating intensified trade/incoming cattle and exchange networks, and bottlenecks in the Late Iron Age, the Late Roman and the earliest Early Medieval centuries, with the last among the three periods related to civil unrest and changing social structures. There are few shared haplotypes through time, with the exception of the main T3 type, indicating there is little evidence for genetic continuity across the timescale included in this work.
Fluctuation in diversity correlates roughly with size variation: high and low diversity measures correspond to large- and small-sized values, respectively, which in turn reflect broad socio-economic changes.
Although the dataset presented here reflects the situation at individual sites and within small regions, the patterns identified fit with an archaeological narrative backed up by other archaeological sources, and there is a general indication that changes in cattle diversity can, therefore, be linked to socio-cultural changes. The exact way in which this link is established, however, is complicated and will vary according to individual circumstances. It is particularly interesting that the Roman sample, which is focused on a particular region, seems to reflect social-cultural changes that took place over a wide geographical area; clearly regional circumstances were heavily impacted by the rise and fall of the empire and the trade networks within it.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/d15050687/s1. Table S1: Archaeological, archaeozoological and genetic details of cattle samples investigated in this study. Period classifications are Ho = Horgen, CW = Corded Ware, BA = Bronze Age, IA = Late Iron Age, R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th centuries CE, EEM = Early Early Medieval from 5th to 7th century CE, LEM = Late Early Medieval from 7th to 8th century CE. Sites are sorted according to chronology. Imdas = local database Augusta Raurica. ** slightly different chronologies exist [111]; Table S2: Primer list and amplification of mitochondrial d-loop. Positions are according to V00654 (Anderson et al. 1982) [66]; Table S3: SNPs in mtDNA d-loop, pos. 15903–16338 and 33–198 (V00654). Haplogroup identification following Achilli et al. (2009) [8] and Bonfiglio et al. (2012) [7]; SNPs underlain with grey are not included in the Arlequin, Network and MDS analyses (16042–16271); * results from the 2nd extract target positions 16185–16220 not reproducible; Table S4: AMOVA output calculated using Arlequin vers. 3.5.2.2 for the ten archaeological populations of this study; Supplemental Text S1: The sites; Supplemental Text S2: Citations in supplementary tables.

Author Contributions

Conceptualization, J.S. and A.S.; methodology/lab work, J.G., A.S., R.B., L.B., J.L., M.T. and E.W.; validation, S.D.-E., A.S., J.G., E.M.-G., B.S., I.G.-S., M.S. and S.A.; formal analysis, A.S., I.G.-S., S.D.-E., E.M.-G. and B.S.; resources, D.S., A.R.F., R.M., M.S. and S.A.; writing—original draft preparation, A.S.; writing—review and editing, all authors; supervision, A.S.; project administration, A.S.; funding acquisition, A.S., J.S. and E.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Archäologie Baselland and Römermuseum Augusta Raurica, Amt für Kultur des Kantons Basel-Landschaft, by Baudirektion Canton Zürich, Kantonsarchäologie, by Freiwillige Akademische Gesellschaft, Basel (FAG), Department Environmental Science, University of Basel (DUW) and the IPAS, by the Swiss National Science foundation (12-67903.02), and Marie Skłodowska-Curie grants to EW (792076-2017-LAKEBOS and 101022553-2020-CatCoW) and to IG-S (MSCA-IF ZooRoMed No. 793221).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Sequence data are submitted to EMBL with the accession numbers OQ446331-OQ446408.

Acknowledgments

We thank Guido Breuer, Peter Andrew Schwarz, and Miki Bopp-Ito, who are former members of the IPAS, and Christian Harb and Adrian Huber from the Archaeological Services Canton Zürich for their support during the various stages of this project. AS wishes to sincerely thank all those colleagues who supported ancient DNA research at IPAS since 1993: Mickey mouse has grown up a cow (David Bowie, Life on Mars 1971). Many thanks go to the three anonymous reviewers for their comments and encouragement.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Schibler, J.; Schlumbaum, A. Geschichte und wirtschaftliche Bedeutung des Hausrindes (Bos taurus L.) in der Schweiz von der Jungsteinzeit bis ins frühe Mittelalter. Schweiz. Arch. Tierheilk. 2007, 149, 23–29. [Google Scholar] [CrossRef]
  2. Kantanen, J.; Olsaker, I.; Holm, L.E.; Lien, S.; Vilkki, J.; Brusgaard, K.; Eythorsdottir, E.; Danell, B.; Adalsteinsson, S. Genetic diversity and population structure of 20 north European cattle breeds. J. Hered. 2000, 91, 446–457. [Google Scholar] [CrossRef]
  3. Beja-Pereira, A.; Caramelli, D.; Lalueza-Fox, C.; Vernesi, C.; Ferrand, N.; Casoli, A.; Goyache, F.; Royo, L.J.; Conti, S.; Lari, M.; et al. The origin of European cattle: Evidence from modern and ancient DNA. Proc. Natl. Acad. Sci. USA 2006, 103, 8113–8118. [Google Scholar] [CrossRef]
  4. Cubric-Curik, V.; Novosel, D.; Brajkovic, V.; Stabelli, O.R.; Krebs, S.; Sölkner, J.; Šalamon, D.; Ristov, S.; Berger, B.; Trivizaki, S.; et al. Large-scale mitogenome sequencing reveals consecutive expansions of domestic taurine cattle and supports sporadic aurochs introgression. Evol. Appl. 2021, 15, 663–678. [Google Scholar] [CrossRef]
  5. Frantz, L.A.F.; Bradley, D.G.; Larson, G.; Orlando, L. Animal domestication in the era of ancient genomics. Nat. Rev. Genet. 2020, 21, 449–460. [Google Scholar] [CrossRef]
  6. Larson, G. Reconstructing Migration Trajectories Using Ancient DNA; Cambridge University Press: Cambridge, UK, 2017; pp. 237–260. [Google Scholar]
  7. Bonfiglio, S.; Ginja, C.; De Gaetano, A.; Achilli, A.; Olivieri, A.; Colli, L.; Tesfaye, K.; Agha, S.H.; Gama, L.T.; Cattonaro, F.; et al. Origin and Spread of Bos taurus: New Clues from Mitochondrial Genomes Belonging to Haplogroup T1. PLoS ONE 2012, 7, e38601. [Google Scholar] [CrossRef] [PubMed]
  8. Achilli, A.; Bonfiglio, S.; Olivieri, A.; Malusà, A.; Pala, M.; Kashani, B.H.; Perego, U.A.; Ajmone-Marsan, P.; Liotta, L.; Semino, O.; et al. The Multifaceted Origin of Taurine Cattle Reflected by the Mitochondrial Genome. PLoS ONE 2009, 4, e5753. [Google Scholar] [CrossRef] [PubMed]
  9. Achilli, A.; Olivieri, A.; Pellecchia, M.; Uboldi, C.; Colli, L.; Al-Zahery, N.; Accetturo, M.; Pala, M.; Kashani, B.H.; Perego, U.A.; et al. Mitochondrial genomes of extinct aurochs survive in domestic cattle. Curr. Biol. 2008, 18, R157–R158. [Google Scholar] [CrossRef]
  10. Pellecchia, M.; Negrini, R.; Colli, L.; Patrini, M.; Milanesi, E.; Achilli, A.; Bertorelle, G.; Cavalli-Sforza, L.L.; Piazza, A.; Torroni, A.; et al. The mystery of Etruscan origins: Novel clues from Bos taurus mitochondrial DNA. Proc. R. Soc. B Boil. Sci. 2007, 274, 1175–1179. [Google Scholar] [CrossRef] [PubMed]
  11. Olivieri, A.; Gandini, F.; Achilli, A.; Fichera, A.; Rizzi, E.; Bonfiglio, S.; Battaglia, V.; Brandini, S.; De Gaetano, A.; El-Beltagi, A.; et al. Mitogenomes from Egyptian Cattle Breeds: New Clues on the Origin of Haplogroup Q and the Early Spread of Bos taurus from the Near East. PLoS ONE 2015, 10, e0141170. [Google Scholar] [CrossRef]
  12. Bonfiglio, S.; Achilli, A.; Olivieri, A.; Negrini, R.; Colli, L.; Liotta, L.; Marsan, P.A.; Torroni, A.; Ferretti, L. The Enigmatic Origin of Bovine mtDNA Haplogroup R: Sporadic Interbreeding or an Independent Event of Bos primigenius Domestication in Italy? PLoS ONE 2010, 5, e15760. [Google Scholar] [CrossRef]
  13. Scheu, A.; Powell, A.; Bollongino, R.; Vigne, J.-D.; Tresset, A.; Çakırlar, C.; Benecke, N.; Burger, J. The genetic prehistory of domesticated cattle from their origin to the spread across Europe. BMC Genet. 2015, 16, 54. [Google Scholar] [CrossRef] [PubMed]
  14. Ajmone-Marsan, P.; Garcia, J.F.; Lenstra, J.A. On the origin of cattle: How aurochs became cattle and colonized the world. Evol. Anthropol. 2010, 19, 148–157. [Google Scholar] [CrossRef]
  15. MacHugh, D.E.; Larson, G.; Orlando, L. Taming the Past: Ancient DNA and the Study of Animal Domestication. Annu. Rev. Anim. Biosci. 2017, 5, 329–351. [Google Scholar] [CrossRef]
  16. Gurke, M.; Vidal-Gorosquieta, A.; Pajimans, J.L.A.; Wȩcek, K.; Barlow, A.; González-Fortes, G.; Hartmann, S.; Grandal-D’anglade, A.; Hofreiter, M. Insight into the introduction of domestic cattle and the process of Neolithization to the Spanish region Galicia by genetic evidence. PLoS ONE 2021, 16, e0249537. [Google Scholar] [CrossRef]
  17. Colominas, L.; Edwards, C.J.; Beja-Pereira, A.; Vigne, J.-D.; Silva, R.M.; Castanyer, P.; Tremoleda, J.; Seguí, M.S.; Pérez-Ripoll, M.; Goyache, F.; et al. Detecting the T1 cattle haplogroup in the Iberian Peninsula from Neolithic to medieval times: New clues to continuous cattle migration through time. J. Archaeol. Sci. 2015, 59, 110–117. [Google Scholar] [CrossRef]
  18. Saliari, K.; Amory, C.; Draganits, E.; Ramsl, P.C.; Tobias, B.; Pucher, E.; Parson, W. Morphometric and genetic evidence for cattle imports from the Mediterranean into present-day Austria during the Iron Age. J. Archaeol. Sci. Rep. 2023, 48, 103842. [Google Scholar] [CrossRef]
  19. Svensson, E.; Häsler, S.; Nussbaumer, M.; Rehazek, A.; Omrak, A.; Götherström, A. Mediaeval cattle from Bern (Switzerland): An archaeozoological, genetic and historical approach. Schweiz. Arch. Tierheilkd. 2014, 156, 17–26. [Google Scholar] [CrossRef]
  20. Svensson, E.M.; Anderung, C.; Baubliene, J.; Persson, P.; Malmström, H.; Smith, C.; Vretemark, M.; Daugnora, L.; Götherström, A. Tracing genetic change over time using nuclear SNPs in ancient and modern cattle. Anim. Genet. 2007, 38, 378–383. [Google Scholar] [CrossRef] [PubMed]
  21. Niemi, M.; Bläuer, A.; Iso-Touru, T.; Harjula, J.; Edmark, V.N.; Rannamäe, E.; Lõugas, L.; Sajantila, A.; Lidén, K.; Taavitsainen, J.-P. Temporal Fluctuation in North East Baltic Sea Region Cattle Population Revealed by Mitochondrial and Y-Chromosomal DNA Analyses. PLoS ONE 2015, 10, e0123821. [Google Scholar] [CrossRef]
  22. Niemi, M.; Sajantila, A.; Vilkki, J. Temporal variation in coat colour (genotypes) supports major changes in the Nordic cattle population after Iron Age. Anim. Genet. 2016, 47, 495–498. [Google Scholar] [CrossRef] [PubMed]
  23. Meiri, M.; Stockhammer, P.W.; Morgenstern, P.; Maran, J. Mobility and trade in Mediterranean antiquity: Evidence for an ‘Italian connection’ in Mycenaean Greece revealed by ancient DNA of livestock. J. Archaeol. Sci. Rep. 2019, 23, 98–103. [Google Scholar] [CrossRef]
  24. Meiri, M.; Stockhammer, P.W.; Marom, N.; Bar-Oz, G.; Sapir-Hen, L.; Morgenstern, P.; Macheridis, S.; Rosen, B.; Huchon, D.; Maran, J.; et al. Eastern Mediterranean Mobility in the Bronze and Early Iron Ages: Inferences from Ancient DNA of Pigs and Cattle. Sci. Rep. 2017, 7, 701. [Google Scholar] [CrossRef]
  25. Fraser, S.; Elsner, J.; Hamilton, W.D.; Sayle, K.L.; Schlumbaum, A.; Bartosiewicz, L. Matrilines in Neolithic cattle from Orkney, Scotland reveals complex husbandry patterns of ancestry. J. Archaeol. Sci. Rep. 2017, 14, 46–54. [Google Scholar] [CrossRef]
  26. Schibler, J. The economy and environment of the 4th and 3rd millennia BC in the northern Alpine foreland based on studies of animal bones. Environ. Archaeol. 2006, 11, 49–64. [Google Scholar] [CrossRef]
  27. Schibler, J. Zooarchaeological results from Neolithic and Bronze Age wetland and dryland sites in the Central Alpine Foreland: Economic, ecologic and taphonomic relevance. In Oxford Handbook of Zooarchaeology; Albarella, U., Rizzetto, M., Russ, H., Vickers, K., Viner-Daniels, S., Eds.; Oxford University Press: Oxford, UK, 2017; pp. 83–98. [Google Scholar] [CrossRef]
  28. Hüster-Plogmann, H.; Schibler, J. Archäozoologie. In Ökonomie und Ökologie neolithischer und bronzezeitlicher Ufersiedlungen am Zürichsee; Schibler, J., Hüster-Plogmann, H., Jacomet, S., Brombacher, C., Gross-Klee, E., Rast-Eicher, A., Eds.; Direktion der Öffentlichen Bauten des Kantons Zürich, Hochbauamt, Abteilung Kantonsarchäologie: Zürich, Switzerland, 1997; pp. 40–121. [Google Scholar]
  29. Spangenberg, J.E.; Jacomet, S.; Schibler, J. Chemical analyses of organic residues in archaeological pottery from Arbon Bleiche 3, Switzerland—Evidence for dairying in the late Neolithic. J. Archaeol. Sci. 2006, 33, 1–13. [Google Scholar] [CrossRef]
  30. Deschler-Erb, S.; Marti-Grädel, E. Viehhaltung und Jagd. Ergebnisse der Untersuchungen der handaufgelesenen Tierknochen. In Die Jungsteinzeitliche Siedlung Arbon Bleiche 3. Umwelt und Wirtschaft; Jacomet, S., Leuzinger, U., Schibler, J., Eds.; Huber & Co AG: Frauenfeld, Switzerland, 2004; Volume 12, pp. 158–231. [Google Scholar]
  31. Arbogast, R.-M.; Jacomet, S.; Magny, M.; Schibler, J. The significance of climate fluctuations for lake level changes and shifts in subsistence economy during the late Neolithic (4300–2400 b.c.) in central Europe. Veg. Hist. Archaeobotany 2006, 15, 403–418. [Google Scholar] [CrossRef]
  32. Wright, E. Investigating cattle husbandry in the Swiss Late Neolithic using different scales of temporal precision: Potential early evidence for deliberate livestock “improvement” in Europe. Archaeol. Anthr. Sci. 2021, 13, 36. [Google Scholar] [CrossRef]
  33. Marti-Grädel, E. Archäozoologische untersuchungen zu viehhaltung, jagd und fischfang. In Um 2700 v. Chr.-Wandel und Kontinuität in den Ufersiedlungen am Bielersee; Suter, P.J., Ed.; Archäologischer Dienst des Kantons Bern: Bern, Switzerland, 2017; Volume 1, pp. 160–193. [Google Scholar]
  34. The End of the Lake-Dwellings in the Circum-Alpine Region; Menotti, F. (Ed.) Oxbow Books: Oxford, UK; Philadelphia, PA, USA, 2015; p. 250. [Google Scholar]
  35. Bopp-Ito, M.; Deschler-Erb, S.; Vach, W.; Schibler, J. Size diversity in Swiss Bronze Age cattle. Int. J. Osteoarchaeol. 2018, 28, 294–304. [Google Scholar] [CrossRef]
  36. Stopp, B. Animal husbandry and hunting activities in the Late Bronze Age Circum-Alpine region. In The End of the Lake-Dwellings in the Circum-Alpine Region; Menotti, F., Ed.; Oxbow Books: Oxford, UK, 2015; pp. 179–210. [Google Scholar]
  37. Müller, F.; Kaenel, G.; Lüscher, G. (Eds.) SPM IV Eisenzeit; Schweizerische Gesellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 1999; Volume SPM IV, p. 360. [Google Scholar]
  38. Stopp, B. Der Basler Münsterhügel am Übergang von spätkeltischer zu römischer Zeit. archäozoologische Auswertung der Grabungen FH 1978/13 und TEW 1978/26. Ph.D. Dissertation, University of Basel, Basel, Switzerland, 2009. Available online: https://edoc.unibas.ch/1043/ (accessed on 1 April 2023).
  39. Warnberg, O.; Knipper, C.; Röder, B.; Lassau, G.; Spichtig, N.; Ramsl, P.C.; Novotny, F.; Teschler-Nicola, M.; Marion, S.; Schönfelder, M.; et al. Missing lactase persistence in late Iron Age Central Europe. Archäologisches Korrespondenzblatt. 2022, 52, 225–248. [Google Scholar] [CrossRef]
  40. Deschler-Erb, S.; Akeret, E.Ö.; Vandorpe, P. Crop production and livestock breeding from the Late Iron Age to the Late Roman period in north western Switzerland. In Productions Agro-Pastorales, Pratiques Culturales et Élevage dans le Nord de la Gaule du Deuxième Siècle Avant J.-C. à la fin de la Période Romaine; Lepetz, S., Zech-Mattern, V., Eds.; Editions Mergoil: Quint-Fonsegrives, France, 2017; pp. 135–152. [Google Scholar]
  41. Valenzuela-Lamas, S.; Albarella, U. Animal Husbandry across the Western Roman Empire: Changes and Continuities. Eur. J. Archaeol. 2017, 20, 402–415. [Google Scholar] [CrossRef]
  42. Grau-Sologestoa, I.; Ginella, F.; Marti-Grädel, E.; Stopp, B.; Deschler-Erb, S. Animal husbandry between the Roman times and the High Middle Ages in central Europe: A biometrical analysis of cattle, sheep and pig. Archaeol. Anthr. Sci. 2021, 13, 176. [Google Scholar] [CrossRef]
  43. Columella. De re rustica. In Über Landwirtschaft; Akademie Verlag: Berlin, Germany, 1972; Volume 4. [Google Scholar]
  44. Cato. De agri cultura. In Vom Landbau; Tusculum-Bücherei, Heimeran Verlag: München, Germany, 1980. [Google Scholar]
  45. SPM V Römische Zeit; Flutsch, L.; Niffeler, U.; Rossi, F. (Eds.) Schweizerische Gesellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 2002; Volume SPM V, p. 432. [Google Scholar]
  46. MacKinnon, M. Cattle ‘breed’ variation and improvement in Roman Italy: Connecting the zooarchaeological and ancient textual evidence. World Archaeol. 2010, 42, 55–73. [Google Scholar] [CrossRef]
  47. Albarella, U.; Johnstone, C.; Vickers, K. The development of animal husbandry from the Late Iron Age to the end of the Roman period: A case study from South-East Britain. J. Archaeol. Sci. 2008, 35, 1828–1848. [Google Scholar] [CrossRef]
  48. Peters, J. Römische Tierhaltung und Tierzucht; Marie Leidorf GmbH: Rahden/Westf, Germany, 1998; Volume 5. [Google Scholar]
  49. Breuer, G.; Rehazek, A.; Stopp, B. Grössen- und Wuchsformveränderung beim Hausrind in römischer Zeit am Beispiel von Augst/Augusta Raurica. Jahresberichte aus Augst und Kaiseraugst 1999, 20, 207–228. [Google Scholar]
  50. Deschler-Erb, S. Archäozoologie—Leben am Rande der Welt. Die Tierknochen aus Brunnen und Gruben des römischen Vicus von Gross-Gerau. In Gross-Gerau, I. Der römische Vicus von Gross-Gerau, “Auf Esch”. Die Baubefunde des Kastellvicus und der Siedlung des 2–3, Jahrhunderts; Wenzel, C., Ed.; Verlag Dr. Rudolf Habelt GmbH: Bonn, Germany, 2009; pp. 255–300. [Google Scholar]
  51. Groot, M.; Deschler-Erb, S. Market strategies in the Roman provinces: Different animal husbandry systems explored by a comparative regional approach. J. Archaeol. Sci. Rep. 2015, 4, 447–460. [Google Scholar] [CrossRef]
  52. Lepetz, S. L’amélioration des espèces animales domestiques à la période romaine en France du Nord. Techniques et économie antiques et médiévales: Le temps de l’innovation. Aix-en Provence 21–23 mai 1996. In Colloque international (CNRS); Editions Errances: Paris, France, 1997. [Google Scholar]
  53. Trentacoste, A.; Nieto-Espinet, A.; Guimarães, S.; Wilkens, B.; Petrucci, G.; Valenzuela-Lamas, S. New trajectories or accelerating change? Zooarchaeological evidence for Roman transformation of animal husbandry in Northern Italy. Archaeol. Anthr. Sci. 2021, 13, 25. [Google Scholar] [CrossRef]
  54. Marti-Grädel, E. Archäozoologische Untersuchungen der Tierknochen aus der Burgstelle Altenberg, Kt. Basel-Landschaft (11. Jahrhundert): Im Kontext früh- bis hochmittelalterlicher Siedlung der Region (5.-12. Jahrhundert): Wirtschafts- und Umweltgeschichte des Früh- und Hochmittelalters in der Nordwestschweiz. Ph.D. Dissertation, University of Basel, Basel, Switzerland, 2012. Available online: https://edoc.unibas.ch/21278/ (accessed on 1 April 2023).
  55. Frosdick, R. Status and New Beginnings: Archaeozoological Research into the Early Medieval Rural Settlements of Northwest Switzerland; University of Basel: Basel, Switzerland, 2014. [Google Scholar] [CrossRef]
  56. Breuer, G.; Rehazek, A.; Stopp, B. Grössenveränderungen des Hausrindes. Osteometrische Untersuchungen grosser Fundserien aus der Nordschweiz von der Spätlatènezeit bis ins Frühmittelalter am Beispiel von Basel, Augst (Augusta Raurica) und Schleitheim-Brüel. Jahresberichte aus Augst und Kaiseraugst 1999, 20, 207–228. [Google Scholar]
  57. Granado, J.; Harmath, M.; Tecchiati, U.; Oeggl, K.; Schibler, J.; Schlumbaum, A. MtDNA D-Loop Diversity in Alpine Cattle during the Bronze Age. Diversity 2021, 13, 449. [Google Scholar] [CrossRef]
  58. Schibler, J.; Elsner, J.; Schlumbaum, A. Incorporation of aurochs into a cattle herd in Neolithic Europe: Single event or breeding? Sci. Rep. 2014, 4, 5798. [Google Scholar] [CrossRef]
  59. Grau-Sologestoa, I.; Groot, M.; Deschler-Erb, S. Innovation and Intensification: The Use of Cattle in the Roman Rhine Region. Environ. Archaeol. 2022, 1–19. [Google Scholar] [CrossRef]
  60. Schlumbaum, A.; Turgay, M.; Schibler, J. Near East mtDNA haplotype variants in Roman cattle from Augusta Raurica, Switzerland, and in the Swiss Evolene breed. Anim. Genet. 2006, 37, 373–375. [Google Scholar] [CrossRef] [PubMed]
  61. Schlumbaum, A.; Stopp, B.; Breuer, G.; Rehazek, A.; Turgay, M.; Blatter, R.; Schibler, J. Combining archaeozoology and molecular genetics: The reason behind the changes in cattle size between 150BC and 700AD in Switzerland. Antiquity 2003, 77. [Google Scholar]
  62. Elsner, J.; Schibler, J.; Hofreiter, M.; Schlumbaum, A. Burial condition is the most important factor for mtDNA PCR amplification success in Palaeolithic equid remains from the Alpine foreland. Archaeol. Anthr. Sci. 2014, 7, 505–515. [Google Scholar] [CrossRef]
  63. Warnberg, O.; Alt, K.W. Molekulargenetische Analysen an den Bestattungen aus dem endneolithischen Kollektivgrab von Spreitenbach. In Spreitenbach-Moosweg (Aargau, Schweiz): Ein Kollektivgrab um 2500 v. Chr.; Antiqua 51; Doppler, T., Ed.; Veröffentlichung der Archäologie Schweiz: Basel, Switzerland, 2012; pp. 158–169. [Google Scholar]
  64. Hall, T.A. BioEdit: A User-Friendly Biological Sequence Alignment Editor and Analysis Program for Windows 95/98/NT. Nucleic Acids Symp. Ser. 1999, 41, 95–98. [Google Scholar]
  65. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef] [PubMed]
  66. Anderson, S.; de Bruijn, M.; Coulson, A.; Eperon, I.; Sanger, F.; Young, I. Complete sequence of bovine mitochondrial DNA conserved features of the mammalian mitochondrial genome. J. Mol. Biol. 1982, 156, 683–717. [Google Scholar] [CrossRef] [PubMed]
  67. Excoffier, L.; Lischer, H.E.L. Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 2010, 10, 564–567. [Google Scholar] [CrossRef] [PubMed]
  68. Bradley, D.G.; MacHugh, D.E.; Cunningham, P.; Loftus, R.T. Mitochondrial diversity and the origins of African and European cattle. Proc. Natl. Acad. Sci. USA 1996, 93, 5131–5135. [Google Scholar] [CrossRef] [PubMed]
  69. Bandelt, H.-J.; Macaulayb, V.; Richards, M. Median Networks: Speedy Construction and Greedy Reduction, One Simulation, and Two Case Studies from Human mtDNA. Mol. Phylogenetics Evol. 2000, 16, 8–28. [Google Scholar] [CrossRef] [PubMed]
  70. Hammer, Ø.; Harper, D.A.T.; Ryan, P.D. PAST: Paleontological Statistics software package for education and data analysis. Palaeontol. Electron. 2001, 4, 9. [Google Scholar]
  71. Pozo, J.M.; Trentacoste, A.; Nieto-Espinet, A.; Guimarães, S.; Valenzuela-Lamas, S. Zoolog R package: Zooarchaeological analysis with log-ratios. Quat. Int. 2022. [Google Scholar] [CrossRef]
  72. Excoffier, L.; Smouse, P.E.; Quattro, J.M. Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction data. Genetics 1992, 131, 479–491. [Google Scholar] [CrossRef] [PubMed]
  73. Slatkin, M. A measure of population subdivision based on microsatellite allele frequencies. Genetics 1995, 139, 457–462. [Google Scholar] [CrossRef] [PubMed]
  74. Lenstra, J.A.; Ajmone-Marsan, P.; Beja-Pereira, A.; Bollongino, R.; Bradley, D.G.; Colli, L.; De Gaetano, A.; Edwards, C.J.; Felius, M.; Ferretti, L.; et al. Meta-Analysis of Mitochondrial DNA Reveals Several Population Bottlenecks during Worldwide Migrations of Cattle. Diversity 2014, 6, 178–187. [Google Scholar] [CrossRef]
  75. Schlumbaum, A.; Granado, J.; Hans-Peter, G.; Schibler, J. MtDNA d-loop variation in Prespa dwarf cattle (Bos taurus) from Albania. bioRxiv 2023. [Google Scholar] [CrossRef]
  76. Hristov, P.; Sirakova, D.; Mitkov, I.; Spassov, N.; Radoslavov, G. Balkan brachicerous cattle—The first domesticated cattle in Europe. Mitochondrial DNA Part A 2016, 29, 56–61. [Google Scholar] [CrossRef]
  77. Hristov, P.; Spassov, N.; Iliev, N.; Radoslavov, G. An independent event of Neolithic cattle domestication on the South-eastern Balkans: Evidence from prehistoric aurochs and cattle populations. Mitochondrial DNA Part A 2015, 28, 383–391. [Google Scholar] [CrossRef]
  78. Troy, C.S.; MacHugh, D.E.; Bailey, J.F.; Magee, D.A.; Loftus, R.T.; Cunningham, P.; Chamberlain, A.T.; Sykes, B.C.; Bradley, D.G. Genetic evidence for Near-Eastern origins of European cattle. Nature 2001, 410, 1088–1091. [Google Scholar] [CrossRef]
  79. Colominas, L.; Edwards, C.J. Livestock Trade during the Early Roman Period: First Clues from the Trading Post of Empúries (Catalonia). Int. J. Osteoarchaeol. 2016, 27, 167–179. [Google Scholar] [CrossRef]
  80. Furtwängler, A.; Rohrlach, A.B.; Lamnidis, T.C.; Papac, L.; Neumann, G.U.; Siebke, I.; Reiter, E.; Steuri, N.; Hald, J.; Denaire, A.; et al. Ancient genomes reveal social and genetic structure of Late Neolithic Switzerland. Nat. Commun. 2020, 11, 1915. [Google Scholar] [CrossRef] [PubMed]
  81. Knipper, C.; Mittnik, A.; Massy, K.; Kociumaka, C.; Kucukkalipci, I.; Maus, M.; Wittenborn, F.; Metz, S.E.; Staskiewicz, A.; Krause, J.; et al. Female exogamy and gene pool diversification at the transition from the Final Neolithic to the Early Bronze Age in central Europe. Proc. Natl. Acad. Sci. USA 2017, 114, 10083–10088. [Google Scholar] [CrossRef] [PubMed]
  82. Bopp-Ito, M. Archaeozoological Study on the Bronze Age Alpine Settlement Savognin-Padnal in the Canton of Grisons, Switzerland. Ph.D. Thesis, University of Basel, Basel, Switzerland, 2019. Available online: https://edoc.unibas.ch/70524/1/Bopp-Ito_Dissertation%202019_ohne_CV.pdf (accessed on 1 January 2023).
  83. Jennings, B. Exploring Late Bronze Age systems of bronzework production in Switzerland through Network Science. STAR Sci. Technol. Archaeol. Res. 2016, 2, 90–112. [Google Scholar] [CrossRef]
  84. Riedel, A.; Tecchiati, U. Settlements and economy in the Bronze and Iron Age in Trentino-South Tyrol: Notes for an archaeozoological model. Preistoria Alpina 2001, 35, 105–113. [Google Scholar]
  85. Moghaddam, N.; Müller, F.; Lösch, S. A bioarchaeological approach to the Iron Age in Switzerland: Stable isotope analyses (δ13C, δ15N, δ34S) of human remains. Archaeol. Anthropol. Sci. 2016, 10, 1067–1085. [Google Scholar] [CrossRef]
  86. Schibler, J.; Stopp, B.; Studer, J. Haustierhaltung und Jagd; Eisenzeit, Müller, F., Kaenel, G., Lüscher, G., Eds.; Schweizerische Gesellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 1999; Volume 4, pp. 116–136. [Google Scholar]
  87. Brönnimann, D.; Rissanen, H.; Spichtig, N.; Wimmer, J. Die jüngerlatènezeitliche Zentralsiedlung Basel-Gasfabrik im Fokus. Ausgewählte Ergebnisse der interdisziplinären Forschung. Jahresbericht der Archäologischen Bodenforschung Basel-Stadt 2021, 2022, 116–151. [Google Scholar]
  88. Groot, M.; Deschler-Erb, S. Carnem et circenses—Consumption of animals and their products in Roman urban and military sites in two regions in the northwestern provinces. Environ. Archaeol. 2016, 22, 96–112. [Google Scholar] [CrossRef]
  89. Deschler-Erb, S.; Stopp, B.; Vandorpe, P. Big Data—65 Jahre archäobiologische Forschungen in Augusta Raurica. Jahresberichte aus Augst und Kaiseraugst 2021, 42, 293–368. [Google Scholar]
  90. Schucany, C. Die römische Villa von Biberist-Spitalhof/SO (Grabungen 1982, 1983, 1986–1989). Untersuchungen im Wirtschaftsteil und Überlegungen zum Umland. Ausgrabungen und Forschungen 4; BAG Verlag: Remshalden, Germany, 2006. [Google Scholar]
  91. Sütterlin, H. Kastelen 2: Die Aelteren Steinbauten in den Insulae 1 Und 2 von Augusta Raurica; Forsch. Augst: Neuenstadt, Germany, 1999; p. 281. [Google Scholar]
  92. Deschler-Erb, S. Die Tierknochen. In Die römische Villa von Biberist-Spitalhof/SO (Grabungen 1982, 1983, 1986–1989) Untersuchungen zum Wirtschaftsteil und Überlegungen zum Umland; Schucany, C., Ed.; B.A.G. Verlag: Remshalden, Germany, 2006; Volume 2, pp. 635–665. [Google Scholar]
  93. Schwarz, P.-A. Kastelen 4—Die Nordmauer und die Überreste der Innenbebauung der spätrömischen Befestigung auf Kastelen. Forsch. Augst 2002, 24, 511. [Google Scholar]
  94. Marti, R. Landwirtschaft lohnt sich—Goldfunde aus der römischen Villa rustica von Pratteln, Kästeli. In 50 Jahre—50 Funde; Marti, R., Fischer, A., Eds.; Archäologie im Kanton Baselland: Basel, Switzerland, 2018; pp. 74–75. [Google Scholar]
  95. Fischer, A. Pratteln, Kästeli: Ein römischer Gutshof wie kein anderer? Jahresbericht Archäologie Baselland 2009, 2010, 35–43. [Google Scholar]
  96. Marti, R.; Fischer, A. Pratteln Kästeliweg: Grossgrabung im römischen Gutshof. Jahresbericht Archäologie Baselland 2016, 2017, 31–38. [Google Scholar]
  97. Der Untergang des Römischen Reiches; Henrich, P. (Ed.) WBG Theiss: Darmstadt, Germany, 2022; Volume 44. [Google Scholar]
  98. Hüster-Plogmann, H.; Kühn, M. Landwirtschaft: Das tägliche Brot. In SPM VI: Frühmittelalter. Die Schweiz vom Paläolithikum bis zum frühen Mittelalter; Windler, R., Marti, R., Niffeler, U., Steiner, L., Eds.; Schweizerische Gesellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 2005; Volume 6, pp. 340–342. [Google Scholar]
  99. Windler, R.; Marti, R.; Niffeler, U.; Steiner, L. (Eds.) SPM VI Frühmittelalter; Schweizerische Gesellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 2005; Volume 6, p. 443. [Google Scholar]
  100. Brombacher, C.; Kühn, M. Vegetationsentwicklung und Umland der Siedlungen—Waldentwicklung, Ackerland und Grünland. In SPM VI: Frühmittelalter. Die Schweiz vom Paläolithikum bis zum frühen Mittelalter; Windler, R., Marti, R., Niffeler, U., Steiner, L., Eds.; Schweizerische Gesellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 2005; Volume 6, pp. 88–91. [Google Scholar]
  101. Bachrach, B. Charlemagne’s Early Campaigns (768–777). A Diplomatic and Military Analysis; Brill: Leiden/Boston, The Netherlands, 2013; Volume 82. [Google Scholar]
  102. Marti, R. Gesellschaft, Kultur, Wirtschaft: Aspekte des Frühmittelalters; Nordwestschweiz. In SPM VI: Frühmittelalter. Die Schweiz vom Paläolithikum bis zum frühen Mittelalter; Windler, R., Marti, R., Niffeler, U., Steiner, L., Eds.; Schweizerische Ge-sellschaft für Ur- und Frühgeschichte: Basel, Switzerland, 2005; Volume 6, pp. 247–249. [Google Scholar]
  103. Arango, J.A.; Cundiff, L.V.; Van Vleck, L.D. Genetic parameters for weight, weight adjusted for body condition score, height, and body condition score in beef cows. J. Anim. Sci. 2002, 80, 3112–3122. [Google Scholar] [CrossRef] [PubMed]
  104. Bouwman, A.C.; Daetwyler, H.D.; Chamberlain, A.J.; Ponce, C.H.; Sargolzaei, M.; Schenkel, F.S.; Sahana, G.; Govignon-Gion, A.; Boitard, S.; Dolezal, M.; et al. Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. Nat. Genet. 2018, 50, 362–367. [Google Scholar] [CrossRef]
  105. Herre, W.; Röhrs, M. Haustiere—Zoologisch Gesehen; Gustav Fischer: Stuttgart, NY, USA, 1990. [Google Scholar]
  106. Funston, R.N.; Larson, D.M.; Vonnahme, K.A. Effects of maternal nutrition on conceptus growth and offspring performance: Implications for beef cattle production1. J. Anim. Sci. 2010, 88, E205–E215. [Google Scholar] [CrossRef]
  107. Yonova-Doing, E.; Calabrese, C.; Gomez-Duran, A.; Schon, K.; Wei, W.; Karthikeyan, S.; Chinnery, P.F.; Howson, J.M.M. An atlas of mitochondrial DNA genotype–phenotype associations in the UK Biobank. Nat. Genet. 2021, 53, 982–993. [Google Scholar] [CrossRef]
  108. Schutz, M.; Freeman, A.; Lindberg, G.; Koehler, C.; Beitz, D. The effect of mitochondrial DNA on milk production and health of dairy cattle. Livest. Prod. Sci. 1994, 37, 283–295. [Google Scholar] [CrossRef]
  109. Liu, H.; Zhai, J.; Wu, H.; Wang, J.; Zhang, S.; Li, J.; Niu, Z.; Shen, C.; Zhang, K.; Liu, Z.; et al. Diversity of Mitochondrial DNA Haplogroups and Their Association with Bovine Antral Follicle Count. Animals 2022, 12, 2350. [Google Scholar] [CrossRef]
  110. Dorji, J.; Jagt, C.J.V.; Chamberlain, A.J.; Cocks, B.G.; MacLeod, I.M.; Daetwyler, H.D. Recovery of mitogenomes from whole genome sequences to infer maternal diversity in 1883 modern taurine and indicine cattle. Sci. Rep. 2022, 12, 5582. [Google Scholar] [CrossRef]
  111. Schucany, C.; Mattmann, T. Die Keramik von Augusta Raurica: Typologie und Chronologie; Forsch. Augst: Neuenstadt, Germany, 2019; Volume 42, 481p. [Google Scholar]
Figure 1. Location of sites of cattle samples in Switzerland included in this study. Details of each sample are given in Table S1. Data from Savognin Padnal are previously published [57] © swisstopo.
Figure 1. Location of sites of cattle samples in Switzerland included in this study. Details of each sample are given in Table S1. Data from Savognin Padnal are previously published [57] © swisstopo.
Diversity 15 00687 g001
Figure 2. Representation of mtDNA haplogroups during the cultural periods from Neolithic to Late Early Medieval time in Switzerland. Included is a Horgen time domestic cow from Twann (upper Horgen, OH) with a P haplotype [58]. Ho = Horgen, n = 7; CW = Corded Ware, n = 5; BA = Bronze Age, n = 19; IA = Late Iron Age, n = 5; R1 = 1st half of 1st century CE, n = 10; R2 = 2nd half of 1st century CE, n = 10; R3 = 2nd century CE, n = 9; R4 = 3rd to 4th century CE, n = 10, EEM = Early Early Medieval, 5th to 7th century CE, n = 16; and Late Early Medieval = LEM, 7th to 8th century CE, n = 8.
Figure 2. Representation of mtDNA haplogroups during the cultural periods from Neolithic to Late Early Medieval time in Switzerland. Included is a Horgen time domestic cow from Twann (upper Horgen, OH) with a P haplotype [58]. Ho = Horgen, n = 7; CW = Corded Ware, n = 5; BA = Bronze Age, n = 19; IA = Late Iron Age, n = 5; R1 = 1st half of 1st century CE, n = 10; R2 = 2nd half of 1st century CE, n = 10; R3 = 2nd century CE, n = 9; R4 = 3rd to 4th century CE, n = 10, EEM = Early Early Medieval, 5th to 7th century CE, n = 16; and Late Early Medieval = LEM, 7th to 8th century CE, n = 8.
Diversity 15 00687 g002
Figure 3. (A) Changes in size through time modified from [32,42,59]. R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th century CE, EEM = Early Early Medieval time from 5th to 7th century CE, and LEM = Late Early Medieval time from 7th to 8th century CE [57,60]. The chronological classifications are according to Table S1. (B) Fluctuations of mtDNA d-loop diversity through time. The time slots are the same as in Figure 3A.
Figure 3. (A) Changes in size through time modified from [32,42,59]. R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th century CE, EEM = Early Early Medieval time from 5th to 7th century CE, and LEM = Late Early Medieval time from 7th to 8th century CE [57,60]. The chronological classifications are according to Table S1. (B) Fluctuations of mtDNA d-loop diversity through time. The time slots are the same as in Figure 3A.
Diversity 15 00687 g003
Figure 4. Median-joining network of 98 archaeological cattle from Switzerland, comprising 42 SNPs and 36 haplotypes (189 bp). Circles are proportional to the number of samples, and branch length is proportional to number of mutations separating the samples. Ho = Horgen, CW = Corded Ware, BA = Bronze Age, IA = Late Iron Age, R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th century CE, EEM = Early Early Medieval time from 5th to 7th century CE, and LEM = Late Early Medieval time from 7th to 8th century CE [57,60]. The chronological classifications are according to Table S1.
Figure 4. Median-joining network of 98 archaeological cattle from Switzerland, comprising 42 SNPs and 36 haplotypes (189 bp). Circles are proportional to the number of samples, and branch length is proportional to number of mutations separating the samples. Ho = Horgen, CW = Corded Ware, BA = Bronze Age, IA = Late Iron Age, R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th century CE, EEM = Early Early Medieval time from 5th to 7th century CE, and LEM = Late Early Medieval time from 7th to 8th century CE [57,60]. The chronological classifications are according to Table S1.
Diversity 15 00687 g004
Figure 5. Non-metric multidimensional scaling plot of linearised Slatkin’s FST based on pairwise distances between archaeological “populations” (189 bp). Ho = Horgen, CW = Corded Ware, BA = Bronze Age, IA = Late Iron Age, R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th centuries CE, EEM = Early Early Medieval time from 5th to 7th century CE, and LEM = Late Early Medieval time from 7th to 8th century CE. Stress 0.058, R2 axis 1: 0.83, and R2 axis 2: 0.095.
Figure 5. Non-metric multidimensional scaling plot of linearised Slatkin’s FST based on pairwise distances between archaeological “populations” (189 bp). Ho = Horgen, CW = Corded Ware, BA = Bronze Age, IA = Late Iron Age, R1 = 1st half of 1st century CE, R2 = 2nd half of 1st century CE, R3 = 2nd century CE, R4 = 3rd to 4th centuries CE, EEM = Early Early Medieval time from 5th to 7th century CE, and LEM = Late Early Medieval time from 7th to 8th century CE. Stress 0.058, R2 axis 1: 0.83, and R2 axis 2: 0.095.
Diversity 15 00687 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Granado, J.; Wright, E.; Blatter, R.; Lange, J.; Turgay, M.; Bañuelos, L.; Deschler-Erb, S.; Stopp, B.; Marti-Grädel, E.; Schäfer, M.; et al. The mtDNA D-Loop Legacy of Cattle: Fluctuations in Diversity from the Neolithic to Early Medieval Times in Switzerland. Diversity 2023, 15, 687. https://doi.org/10.3390/d15050687

AMA Style

Granado J, Wright E, Blatter R, Lange J, Turgay M, Bañuelos L, Deschler-Erb S, Stopp B, Marti-Grädel E, Schäfer M, et al. The mtDNA D-Loop Legacy of Cattle: Fluctuations in Diversity from the Neolithic to Early Medieval Times in Switzerland. Diversity. 2023; 15(5):687. https://doi.org/10.3390/d15050687

Chicago/Turabian Style

Granado, José, Elizabeth Wright, Robert Blatter, Jürg Lange, Meral Turgay, Laura Bañuelos, Sabine Deschler-Erb, Barbara Stopp, Elisabeth Marti-Grädel, Marguerita Schäfer, and et al. 2023. "The mtDNA D-Loop Legacy of Cattle: Fluctuations in Diversity from the Neolithic to Early Medieval Times in Switzerland" Diversity 15, no. 5: 687. https://doi.org/10.3390/d15050687

APA Style

Granado, J., Wright, E., Blatter, R., Lange, J., Turgay, M., Bañuelos, L., Deschler-Erb, S., Stopp, B., Marti-Grädel, E., Schäfer, M., Grau-Sologestoa, I., Ammann, S., Schmid, D., Furger, A. R., Marti, R., Schibler, J., & Schlumbaum, A. (2023). The mtDNA D-Loop Legacy of Cattle: Fluctuations in Diversity from the Neolithic to Early Medieval Times in Switzerland. Diversity, 15(5), 687. https://doi.org/10.3390/d15050687

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop