Genomic and genetic variability of six chicken populations using single nucleotide polymorphism and copy number variants as markers

Genomic and genetic variation among six Italian chicken native breeds (Livornese, Mericanel della Brianza, Milanino, Bionda Piemontese, Bianca di Saluzzo and Siciliana) were studied using single nucleotide polymorphism (SNP) and copy number variants (CNV) as markers. A total of 94 DNA samples genotyped with Axiom® Genome-Wide Chicken Genotyping Array (Affymetrix) were used in the analyses. The results showed the genetic and genomic variability occurring among the six Italian chicken breeds. The genetic relationship among animals was established with a principal component analysis. The genetic diversity within breeds was calculated using heterozygosity values (expected and observed) and with Wright’s F-statistics. The individual-based CNV calling, based on log R ratio and B-allele frequency values, was done by the Hidden–Markov Model (HMM) of PennCNV software on autosomes. A hierarchical agglomerative clustering was applied in each population according to the absence or presence of definite CNV regions (CNV were grouped by overlapping of at least 1 bp). The CNV map was built on a total of 1003 CNV found in individual samples, after grouping by overlaps, resulting in 564 unique CNV regions (344 gains, 213 losses and 7 complex), for a total of 9.43 Mb of sequence and 1.03% of the chicken assembly autosome. All the approaches using SNP data showed that the Siciliana breed clearly differentiate from other populations, the Livornese breed separates into two distinct groups according to the feather colour (i.e. white and black) and the Bionda Piemontese and Bianca di Saluzzo breeds are closely related. The genetic variability found using SNP is comparable with that found by other authors in the same breeds using microsatellite markers. The CNV markers analysis clearly confirmed the SNP results.     

Molecular structure in peripheral dog breeds: Portuguese native breeds as a case study

Genetic variability in purebred dogs is known to be highly structured, with differences among breeds accounting for ∼30% of the genetic variation. However, analysis of the genetic structure in non-cosmopolitan breeds and local populations is still limited. Nine Portuguese native dog breeds, and other peripheral dog populations (five) with regional affinities, were characterized using 16 microsatellites and 225 amplified fragment length polymorphism (AFLP) markers, and the pattern of genetic differentiation was investigated. Although the level of breed differentiation detected is below that of other dog breeds, there is in most cases a correlation between breed affiliation and molecular structure. AFLP markers and Bayesian clustering methods allowed an average of 73.1% of individuals to be correctly assigned to source populations, providing robust genotypic assessment of breed affiliation. A geographical genetic structure was also detected, which suggests a limited influence of African dogs on the Iberian breeds. The sampling effect on the estimation of population structure was evaluated and there was a 2.2% decrease in genetic differentiation among breeds when working animals were included. Genetic diversity of stray dogs was also assessed and there is no evidence that they pose a threat to the preservation of the gene pool of native dog breeds.     

Genetic polymorphism of goat kappa-casein (CSN3) in different breeds and characterization at DNA level

Data on genetic differences at CSN3 in goat breeds including a DNA based typing method and the mutations responsible for variation on protein and DNA level are presented here. Isoelectric focusing (IEF) in ultrathin polyacrylamide gels with carrier ampholytes was used to demonstrate CSN3 polymorphism in milk samples of Italian (Orobica n=88; Ionica n=68) and German goat breeds (Bunte Deutsche Edelziege n=244; Weisse Deutsche Edelziege n=134; Toggenburger n=25; Thüringer Waldziege n=70). A further CSN3 band was found presenting a more cathodic migration than CSN A. After chymosin action, the genetic polymorphism was also observed in the para-kappa-casein fraction. The new allele CSN3(B) was spread mainly in Orobica (37%), Bunte Deutsche Edelziege (11%) and Ionica (10%). CSN3(B) occurred in low frequency (<3%) in Thüringer Waldziege and in Weisse Deutsche Edelziege, and could not be demonstrated in milk samples of Toggenburger. The populations were in Hardy-Weinberg equilibrium at CSN3. The codominant genetic control of CSN3(B) was confirmed by genetic studies. Discrimination of CSN3 alleles A and B was also obtained by DNA SSCP analysis. Sequencing of CSN3(B) revealed four transitions at position 247, 309, 471, and 591 compared with CSN3(A). From these transitions, the following amino acid substitutions are deduced: 44 Gln --> Arg, 65 Val --> Ile, 119 Val --> Ile, and 159 Ser --> Pro. Among the four mutations, only the 44 Gln --> Arg can be revealed by milk protein IEF analysis while at DNA level three further genetic variants should exist in addition to CSN3(A) and CSN3(B).     

Genetic diversity in European pigs utilizing amplified fragment length polymorphism markers

The use of DNA markers to evaluate genetic diversity is an important component of the management of animal genetic resources. The Food and Agriculture Organisation of the United Nations (FAO) has published a list of recommended microsatellite markers for such studies; however, other markers are potential alternatives. This paper describes results obtained with a set of amplified fragment length polymorphism (AFLP) markers as part of a genetic diversity study of European pig breeds that also utilized microsatellite markers. Data from 148 AFLP markers genotyped across samples from 58 European and one Chinese breed were analysed. The results were compared with previous analyses of data from 50 microsatellite markers genotyped on the same animals. The AFLP markers had an average within-breed heterozygosity of 0.124 but there was wide variation, with individual markers being monomorphic in 3-98% of the populations. The biallelic and dominant nature of AFLP markers creates a challenge for their use in genetic diversity studies as each individual marker contains limited information and AFLPs only provide indirect estimates of the allelic frequencies that are needed to estimate genetic distances. Nonetheless, AFLP marker-based characterization of genetic distances was consistent with expectations based on breed and regional distributions and produced a similar pattern to that obtained with microsatellites. Thus, data from AFLP markers can be combined with microsatellite data for measuring genetic diversity.     

Dissection of ancestral genetic contributions to Creole goat populations

Goats have played a key role as source of nourishment for humans in their expansion all over the world in long land and sea trips. This has guaranteed a place for this species in the important and rapid episode of livestock expansion triggered by Columbus’ arrival in the Americas in the late 1400s. The aims of this study are to provide a comprehensive perspective on genetic diversity in American goat populations and to assess their origins and evolutionary trajectories. This was achieved by combining data from autosomal neutral genetic markers obtained in more than two thousand samples that encompass a wide range of Iberian, African and Creole goat breeds. In general, even though Creole populations differ clearly from each other, they lack a strong geographical pattern of differentiation, such that populations of different admixed ancestry share relatively close locations throughout the large geographical range included in this study. Important Iberian signatures were detected in most Creole populations studied, and many of them, particularly the Cuban Creole, also revealed an important contribution of African breeds. On the other hand, the Brazilian breeds showed a particular genetic structure and were clearly separated from the other Creole populations, with some influence from Cape Verde goats. These results provide a comprehensive characterisation of the present structure of goat genetic diversity, and a dissection of the Iberian and African influences that gave origin to different Creole caprine breeds, disentangling an important part of their evolutionary history. Creole breeds constitute an important reservoir of genetic diversity that justifies the development of appropriate management systems aimed at improving performance without loss of genomic diversity.     

Assessing genetic diversity in indigenous Veneto chicken breeds using AFLP markers

Genetic variation in four indigenous chicken breeds from the Veneto region of Italy was assessed using amplified fragment length polymorphism (AFLP) markers. A total of 99 individuals were analysed using three AFLP primer combinations that produced 70 polymorphisms. Four indigenous Veneto chicken breeds (Ermellinata, Padovana, Pépoi and Robusta) and a reference broiler line were included in the analysis. Breed-specific markers were identified in each breed. The expected heterozygosity did not differ significantly among the indigenous Veneto chicken breeds and the broiler line. The coefficient of gene variation (Gst) value across loci indicated that almost half of the total variability was observed among breeds. Nei's standard genetic distance between pairs of breeds showed that the distance between the broiler line and the Pépoi breed was greater than the distances between the broiler line and the other three chicken breeds. Cluster analysis based on standard genetic distances between breeds indicated that the Padovana and Pépoi breeds were closely related. Factorial analysis based on a binary matrix of the AFLP data showed a clear distinction of all breeds.     

Structure and Genetic Relationship Among Brazilian Naturalized and Imported Goat Breeds

Fourteen goat populations were studied regarding their genetic relationship and structure. Parameters of genetic diversity (HT, HS and GST) and F statistic (FIS, FIT and FST) were estimated. Undefined breed populations presented high homogeneity, as did imported breed populations. Naturalized breed populations showed high differentiation. The genetic distances separating these 14 goat populations were calculated from gene frequency data for eight blood genetic markers (esterase D, phosphoglucomutase 1, carbonic anhydrase II, peptidase B, amylase, haemoglobin, transferrin, and protein X). Working with the genetic distance matrix of Nei corrected for small samples (DA), we constructed a dendrogram using the unweighted pair group method with arithmetic mean. DA values ranged from 0.0027 to 0.1518. The dendrogram divided the populations into two groups, one consisting of three populations of naturalized breeds, and another including the other populations (imported breeds, undefined breeds and some other naturalized breeds).     

24个中外猪种(群)的AFLP多态性及其群体遗传关系

利用12对AFLP引物组合检测了19个中国地方猪种（群）,1个培育猪种和4个欧美引进猪种混合基因组DNA的遗传变异,根据AFLP分析结果计算了24个猪种（群）间的遗传相似系数,据此构建了UPGMA聚类关系图,结果表明,AFLP标记有着很高的多态检测效率（Ai),平均每个引物组合检测到17.3个多态标记,非常适合于猪种（群）遗传多样性分析和品种鉴定;中国地方猪种与欧美引进猪种间的遗传分化十分明显,两类猪群间的亲缘关系较远;南昌白猪与大白猪,铅山黑猪与玉山黑猪有着极近的亲缘关系,分别与其育成历史,地理分布和RAPD分析结果相一致。另外还对部分猪种（群）的聚类分析结果与其形态学,地理分布和现行分类情况不相一致的原因进行了探讨。     

Genetic diversity in Swiss goat breeds based on microsatellite analysis

Genetic diversity in eight Swiss goat breeds was estimated using PCR amplification of 20 bovine microsatellites on 20-40 unrelated animals per breed. In addition, the Creole breed from the Caribbean and samples of Ibex and Bezoar goat were included. A total of 352 animals were tested. The bovine microsatellites chosen amplified well in goat. The average heterozygosity within population was higher in domestic goat (0.51-0.58) than in Ibex (0.17) and Bezoar goat (0.19). Twenty-seven per cent of the genetic diversity in the total population could be attributed to differences between the populations. However, with the exclusion of Ibex from the total population, this proportion dropped to 17%. Principal component analysis showed that all Swiss goat breeds are closely related, whereas the Creole breed, Ibex and Bezoar goat are clearly distinct from all eight Swiss breeds.     

On the way to functional agro biodiversity: coat colour gene variability in goats

Functional agro biodiversity defines the exploitation of biodiversity to provide ecosystem services, support sustainable agricultural production and benefit the regional and global environment and the public at large (ELN-FAB, 2009; www.eln_fab.eu). Tracking of animal products back to the breed of origin based on their genetic make-up undoubtedly falls in this category. The aim of this paper was to identify and validate a set of single nucleotide polymorphisms (SNPs) in goat coat colour genes, most of which have not been investigated before, to trace five goat populations of the Italian Alps and their product. Several regions of 28 genes influencing coat colour pathways were amplified in eight animals (two per breed). Sequence comparison revealed 48 SNPs and three INDEL (INsertion DELetion). No breed-specific alleles were detected; however, several SNPs showed an uneven frequency distribution between breeds. In BIO, the genotype frequency distribution of a non-synonymous SNP suggested a possible role of TYRP1 in brown eumelanic goat coat colour. A total of 29 independent SNPs in 20 genes were selected and used to allocate 159 minimally related goat samples using STRUCTURE 2.2 and GeneClass 2 software. STRUCTURE 2.2 assigns 99% of individuals to the correct breed considering the prior information on putative breed of origin for each sample and 81% using only the genotypic data. The three algorithms available in GeneClass 2 performed with nearly equal efficiency, with 86% and 87% correct allocations. All the methods yielded an average probability of assignment >0.92 and a specificity index >0.86. Despite their coat colour variability, individuals belonging to ORO were fully assigned, showing that, in the absence of a breed-specific allele tied to coat colour, the best assignment resulted for the most genetically distinct breed. The lowest rate of correct assignment was observed in Verzaschese (73%), not ascertained in the breed panel used in the SNP discovery phase.     

Targeted high‐throughput growth hormone 1 gene sequencing reveals high within‐breed genetic diversity in South African goats

This study assessed the genetic diversity in the growth hormone 1 gene (GH1) within and between South African goat breeds. Polymerase chain reaction‐targeted gene amplification together with Illumina MiSeq next‐generation sequencing (NGS) was used to generate the full length (2.54 kb) of the growth hormone 1 gene and screen for SNPs in the South African Boer (SAB) (n = 17), Tankwa (n = 15) and South African village (n = 35) goat populations. A range of 27–58 SNPs per population were observed. Mutations resulting in amino acid changes were observed at exons 2 and 5. Higher within‐breed diversity of 97.37% was observed within the population category consisting of SA village ecotypes and the Tankwa goats. Highest pairwise F_ST values ranging from 0.148 to 0.356 were observed between the SAB and both the South African village and Tankwa feral goat populations. Phylogenetic analysis indicated nine genetic clusters, which reflected close relationships between the South African populations and the other international breeds with the exception of the Italian Sarda breeds. Results imply greater potential for within‐population selection programs, particularly with SA village goats.     

Genetic diversity and population structure in multiple Chinese goat populations using a SNP panel

Information about genetic diversity and population structure among goat breeds is essential for genetic improvement, understanding of environmental adaptation as well as utilization and conservation of goat breeds. Here, we measured genetic diversity and population structure in multiple Chinese goat populations, namely, Nanjiang, Qinggeda, Arbas Cashmere, Jining Grey, Luoping Yellow and Guangfeng goats. A total of 193 individuals were genotyped for about 47 401 autosomal single nucleotide polymorphisms (SNPs). We found a high proportion of informative SNPs, ranging from 69.5% in the Luoping Yellow to 93.9% in the Jining Grey goat breeds with an average mean of 84.7%. Diversity, as measured by expected heterozygosity, ranged from 0.371 in Luoping Yellow to 0.405 in Jining Grey goat populations. The average estimated pair‐wise genetic differentiation (F_ST) among the populations was 8.6%, ranging from 0.2% to 16% and indicating low to moderate genetic differentiation. Principal component analysis, genetic structure and phylogenetic tree analysis revealed a clustering of six Chinese goat populations according to geographic distribution. The results from this study can contribute valuable genetic information and can properly assist with within‐breed diversity, which provides a good opportunity for sustainable utilization of and maintenance of genetic resource improvements in the Chinese goat populations.     

Genetic distances within and across cattle breeds as indicated by biallelic AFLP markers

We tested the use of biallelic Amplified fragment length polymorphism (AFLP) polymorphisms for the estimation of relative genetic distances of cattle individuals within or across breeds. An allele permutation procedure was developed to estimate the stochastic variation of the genetic distance that is inherent to a given dataset. In a panel of 47 Holstein-Friesian cattle analysed with 248 polymorphic markers, the average genetic distance of bulls selected for breeding was slightly lower than the distance of the cows. The observed standard deviation (SD) of the distance indicated genetic subdivision, which for the bulls was explained by variation in the additive relationship derived from herdbook data. Animals from three different breeds, the highly selected Holstein-Friesian, the Italian Brown and the historic Maremmana, were compared on the basis of 106 polymorphic markers. No breed-specific fragments were observed. The mean pair-wise genetic distance within breeds was 85% of the value across breeds, but principal coordinates analysis clustered the animals according to their breed of origin. Calculation of distances between the breeds indicated a relatively divergent position of the Maremmana, relative to the two other breeds. However, biallelic markers indicate that the process of breed formation had only a limited effect on the diversity at marker loci.     

Genetic diversity in an endangered alpine plant, Eryngium alpinum L. (Apiaceae), inferred from amplified fragment length polymorphism markers

Eryngium alpinum L. is an endangered species found across the European Alps. In order to obtain base-line data for the conservation of this species, we investigated levels of genetic diversity within and among 14 populations from the French Alps. We used the amplified fragment length polymorphism (AFLP) technique with three primer pairs and scored a total of 62 unambiguous, polymorphic markers in 327 individuals. Because AFLP markers are dominant, within-population genetic structure (e.g. FIS) could not be assessed. Analyses based either on the assumption of random-mating or on complete selfing lead to very similar results. Diversity levels within populations were relatively high (mean Nei's expected heterozygosity = 0.198; mean Shannon index = 0.283), and a positive correlation was detected between both genetic diversity measurements and population size (Spearman rank correlation: P = 0. 005 and P = 0.002, respectively). Moreover, FST values and exact tests of differentiation revealed high differentiation among populations (mean pairwise FST = 0.40), which appeared to be independent of geographical distance (nonsignificant Mantel test). Founder events during postglacial colonizations and/or bottlenecks are proposed to explain this high but random genetic differentiation. By contrast, we detected a pattern of isolation by distance within populations and valleys. Predominant local gene flow by pollen or seed is probably responsible for this pattern. Concerning the management of E. alpinum, the high genetic differentiation leads us to recommend the conservation of a maximum number of populations. This study demonstrates that AFLP markers enable a quick and reliable assessment of intraspecific genetic variability in conservation genetics.     

Genetic diversity and relationship among southern Indian goat breeds based on microsatellite markers

Genetic diversity and relationship among goat breeds of southern India were investigated based on microsatellite markers. All five breeds of south India, namely Attappady, Osmanabadi, Sangamneri, Malabari and Kanniadu, along with Ganjam of eastern India were considered for the investigation. In total, 190 alleles were observed from 288 DNA samples analysed with 25 microsatellite loci across six breeds. The most diverse breed was Kanniadu and the least was Osmanabadi. Gene diversity for each breed ranged from 0.73 in Kanniadu to 0.61 in Osmanabadi. The genetic distance tended to be least (0.22) between Ganjam and Malabari and the widest (0.83) between Kanniadu and Malabari. The genetic differentiation between different pairs of the breeds was significantly different from zero. Majority of the loci in almost all the breeds were heterozygote deficit. The overall F_is value (0.20) was moderate and significantly different from zero. Principal-component analysis showed the clustering of the goat breeds according to their geographical origin. Therefore, the geographical origin of the breeds should be taken into consideration while deciding conservation and improvement options for these breeds.     

Genetic diversity and relationships of 10 Chinese goat breeds in the Middle and Western China

The genetic variability and relationships among 10 Chinese goat breeds (Shannan white goat, Shanbei white cashmere goat, Funiu goat, Huanghuai goat, Taihang goat, Guanzhong dairy goat, Xinong Saanen goat, Zhongwei goat, Tibetan goat and Inner Mongolia cashmere goat) were studied using 20 microsatellite markers. The mean heterozygosity and the mean polymorphism information content (PIC) for the 10 goat breeds varied from 0.7612 to 0.8390 and 0.7293 to 0.8181, respectively. Huanghuai goat demonstrated the highest genetic variability, and Tibetan goat showed the lowest. G_ST index was 0.052. A unweighted pair group method with arithmetic means (UPGMA) diagram obtained based on Nei standard genetic distance displayed some degree of consistency with their geographical locations and production.     

山羊群体遗传多样性的微卫星分析

为了保护和合理利用我国地方山羊品种遗传资源提供理论基础,本研究利用国际农粮组织和国际家畜研究所推荐的10对微卫星引物,结合荧光标记PCR,检测了中国9个地方山羊品种和1个引进山羊品种的遗传多样性。所研究的10个品种中7个呈现出高度多态,3个呈现出中度多态。并共检测到119个等位基因,有效等位基因数在1.4641~9.2911之间,座位平均杂合度在0.2618~0.7672之间,品种平均杂合度在0.5196~0.7024之间,其中SRCRSP23位点和河西绒山羊(HXR)平均杂合度最高。聚类关系(NJ和UPGMA)和主成分分析结果与其起源、育成历史及地理分布基本一致。     

Genetic structure of Hypochaeris uniflora (Asteraceae) suggests vicariance in the Carpathians and rapid post-glacial colonization of the Alps from an eastern Alpine refugium

Aim The range of the subalpine species Hypochaeris uniflora covers the Alps, Carpathians and Sudetes Mountains. Whilst the genetic structure and post‐glacial history of many high‐mountain plant taxa of the Alps is relatively well documented, the Carpathian populations have often been neglected in phylogeographical studies. The aim of the present study is to compare the genetic variation of the species in two major European mountain systems – the Alps and the Carpathians. Location Alps and Carpathians. Methods The genetic variation of 77 populations, each consisting of three plants, was studied using amplified fragment length polymorphism (AFLP). Results Neighbour joining and principal coordinate analyses revealed three well‐supported phylogeographical groups of populations corresponding to three disjunct geographical regions – the Alps and the western and south‐eastern Carpathians. Moreover, two further clusters could be distinguished within the latter mountain range, one consisting of populations from the eastern Carpathians and the second consisting of populations from the southern Carpathians. Populations from the Apuseni Mountains had an intermediate position between the eastern and southern Carpathians. The genetic clustering of populations into four groups was also supported by an analysis of molecular variance, which showed that most genetic variation (almost 46%) was found among these four groups. By far the highest within‐population variation was found in the eastern Carpathians, followed by populations from the southern and western Carpathians. Generally, the populations from the Alps were considerably less variable and displayed substantially fewer region‐diagnostic markers than those from the south‐eastern Carpathians. Although no clear geographical structure was found within the Alps, based on neighbour joining or principal coordinate analyses, some trends were obvious: populations from the easternmost part were genetically more variable and, together with those from the south‐western part, exhibited a higher proportion of rare AFLP fragments than populations in other areas. Moreover, the total number of AFLP fragments per population, the percentage of polymorphic loci and the proportion of rare AFLP fragments significantly decreased from east to west. Main conclusions Deep infraspecific phylogeographical gaps between the populations from the Alps and the western and south‐eastern Carpathians suggest the survival of H. uniflora in three separate refugia during the last glaciation. Our AFLP data provide molecular evidence for a long‐term geographical disjunction between the eastern and western Carpathians, previously suggested from the floristic composition at the end of 19th century. It is likely that Alpine populations survived the Last Glacial in the eastern part of the Alps, from where they rapidly colonized the rest of the Alps after the ice sheet retreated. Multiple founder effects may explain a gradual loss of genetic variation during westward colonization of the Alps.     

5个山羊品种CSN1S2基因的Alw26I酶切

利用PCR-RFLP技术对西农萨能奶山羊、关中奶山羊、陕南白山羊、安哥拉山羊和波尔山羊5个山羊品种的170个个体的αs 2酪蛋白(CSN1S2)基因进行多态性分析,结果表明：扩增大小为310 bp的片段经限制性内切酶Alw26I酶切后表现多态,且5个山羊品种该基因座位均处于Hardy-Weinberg平衡状态。西农萨能奶山羊、关中奶山羊、陕南白山羊、安哥拉山羊和波尔山羊的基因杂合度/有效等位基因数/Shaanon信息熵/PIC值分别为0.1589/1.1889/0.2955/0.1463, 0.4114/1.6981/0.6017/0.5171,0.1653/1.1980/0.3046/0.1516,0.0646/1.0691/0.1463/0.0625,0.0541/1.0572/ 0.1270/ 0.0526。分析结果显示,关中奶山羊的遗传多样性最丰富,表现为高度多态;其次是西农萨能奶山羊和陕南白山羊,而安哥拉山羊和波尔山羊的遗传变异程度最低。