4个微卫星标记分析6个鸭群体之间的遗传关系

利用4对微卫星引物（AJ272577、AJ272578、AJ272579和AJ272580）对6个鸭群体（绍鸭、番鸭、樱桃谷鸭、北京鸭（Z4、Z1）和奥白星鸭）300只鸭的等位基因频率、群体多态信息含量、有效等位基因数、杂合度和遗传距离进行了检测。结果表明：4个微卫星基因座在6个鸭群体中均存在多态性，可以用于鸭的遗传多样性评估；且基因座AJ272578变异最大，基因座AJ272579变异最小，从不同群体来看，北京鸭Z1的遗传变异最大，奥白星鸭的遗传变异最小。基于Nei氏标准遗传距离，采用UPGMA方法构建了系统发生树，将绍鸭和樱桃谷鸭归为一类，北京鸭Z1、奥白星鸭和北京鸭Z4归为一类，番鸭归为一类。鸭的微卫星基因分型技术为检测品种（群体）之间的遗传关系提供了一个有用的工具。     

Genetic diversity analysis of two buffalo populations of northern India using microsatellite markers

The genetic diversity in two buffalo populations of northern India, the Bhadawari and the Tarai was assessed using a set of 22 heterologous (bovine) microsatellite markers. The average number of alleles across all loci in both populations was found to be 4.7, indicating that this set of 22 bovine microsatellite markers could be used to study genetic variation in buffalo species also. The overall polymorphic information content (PIC) value for these markers was 0.54. The average observed and expected heterozygosities for both populations were 0.59 and 0.64, respectively. Common alleles with varying allele frequencies in both populations also represented the genetic variability existing between Bhadawari and Tarai buffaloes. However the θ estimates for population differentiation indicated low levels of differentiation between the two populations. This was further supported by the low genetic distance (0.155) between Bhadawari and Tarai, which was calculated using Nei's standard genetic distance method. The present study on Bhadawari and Tarai populations represents a much‐needed preliminary effort that could be extended to other local buffalo populations of India as well.     

Microsatellite variation between an African and five European taurine breeds results in a geographical phylogenetic tree with a bison outgroup

Genetic variation is being used extensively for individual identification and linkage analysis, and may be useful for interpopulation studies. Previously, blood groups and biochemical variants in blood cell and serum proteins have been used to study (evolutionary) relationships in mammals. But genetic divergence and gene flow among closely related populations are difficult to measure with these classical markers because their mutation rate is so low that new mutations have not had sufficient time to appear and become fixed. So they have a small number of alleles and a relatively low level of heterozygosity. These markers are now replaced by DNA markers, mostly microsatellites. These microsatellite loci are useful genetic markers at which alleles differ in length due to differences in the number of short sequence motifs arranged adjacent to one another. They are abundantly distributed throughout the mammalian genome. They have a large number of alleles, a high level of heterozygosity and are inherited in true Mendelian fashion. These characteristics make them valuable for parentage control, linkage analysis, genome mapping and phylogenetic studies. In terrestrial vertebrates with limited mobility, genetic differentiation often increases with the distance between populations or corresponds to the extent of geographic and habitat barriers (R oy et al. 1994). Investigations of short tandem repeats yield a considerable volume of genetic data regarding the similarities and divergence times of different cattle populations. Microsatellite markers are suitable for the estimation of these parameters as they are not generally subject to direct selection and environmental influences. Computation of genetic distances based on data from several loci can be used to evaluate the taxonomic relationship between populations. The aim of this study was to estimate the relative genetic variability between Belgian cattle breeds and to reconstruct the evolutionary relationship among them, also using two small genetically isolated cattle-like populations.     

Genetic diversity and infection levels of anisakid nematodes parasitic in fish and marine mammals from Boreal and Austral hemispheres

Anisakid nematodes have complex life-cycles that include invertebrate and vertebrate hosts at various levels of the marine food chain. Different types of habitat disturbances of the marine ecosystem (pollution, overfishing, by-catch) could impoverish the host population size, resulting in concomitant and detrimental effects on parasitic nematode populations. This in turn would lead to the loss of genetic diversity of these parasites at both the species and population levels. In order to test for a correlation existing between the genetic diversity of anisakid nematodes and habitat disturbance, the genetic variability, estimated by nuclear markers (19 allozyme loci), was evaluated among several anisakid populations from fish and marine mammals in various areas of the Boreal and Austral regions. Antarctic and sub-antarctic populations showed significantly (P<0.001) higher levels of genetic diversity (on average, He=0.23) than those from the Arctic and sub-Arctic populations and species (on average, He=0.07). Correlations between the degree of genetic variability and the levels of parasitic infections within their hosts were considered. Data revealed higher intensities in anisakid infections in Antarctic and sub-Antarctic hosts, presumably resulting from a lower degree of habitat disturbance in less stressed areas. The absence of disturbance presumably allowed anisakid species to reach a larger population size, with a reduced probability of genetic drift in their gene pools. This suggests that anisakid nematodes, and their levels of genetic diversity may be suitable indicators of the integrity of marine food webs and of the general biodiversity of a marine ecosystem.     

Allozyme markers suitable for population genetic analysis of Fasciola hepatica

Protein electrophoresis was used to study allozyme variation in Fasciola hepatica collected from three locations in Galicia (NW Spain), an area where fascioliasis is endemic. Eleven of 16 loci showed variation in at least one population and 7 loci were polymorphic in all populations studied. Five of these markers showed expected heterozygosities ranging from 0.137 to 0.569. The Nei's unbiased genetic diversity within populations ranged from 0.146 to 0.168. Genotypic frequencies were consistent with panmixia in 25 of 28 cases. Only 2 loci showed a significant deficit of heterozygotes. Genetic distances between populations were small (D(a)=0.003-0.010). These results suggest high levels of genetic variability and low population structure. This study shows that several of the markers developed are useful for study the population genetic structure of the parasite, which is essential to investigate the evolution of drug resistance that has recently emerged in populations of the study area.     

青藏高原东南缘老芒麦自然居群遗传多样性的SRAP和SSR分析

基于SRAP和SSR分子标记分析了青藏高原东南缘8个老芒麦自然居群遗传变异及群体遗传结构,获得下述结果:1)16对SRAP引物在90个单株中共扩增出384条可统计条带,其中多态性条带334条,占86.98%;16个SSR位点共检测出等位变异221个,平均每个位点13.8个,其中具有多态性的位点数192个,占86.88%。2)2种分子标记检测到老芒麦居群水平的基因多样性(H_e)分别为0.1092和0.1296,而物种水平的基因多样性达0.2434和0.3732。3)基于2种标记的Nei氏遗传分化指数G_st(0.5525和0.5158)表明老芒麦居群出现了较大程度的遗传分化,居群间的基因流非常有限,分别为0.4050和0.4694,老芒麦的遗传变异主要分布在居群间,居群内变异相对较小,Shannon多样性指数和分子方差变异(AMOVA)分析显示了相似的结果。4)基于聚类分析结果表明各居群间存在较为明显的地理分化,8个居群分化为采集地范围内的南、北和中部3个分支。通过对老芒麦遗传多样性和遗传结构的分析提出了对该物种遗传多样性的保护策略。     

中国地方鸭品种资源的分子遗传多样性

通过筛选的28个多态性较好的微卫星标记，检测了我国24个地方鸭品种的遗传多样性。利用等位基因频率计算了各群体的遗传参数和群体间的遗传距离，采用邻接法构建了聚类图，并进行了系统发生分析。结果表明：28个微卫星座位在我国家鸭群体中的多态信息含量除APL23和APL79为中度多态外，其他座位均为高度多态座位，可以作为有效的遗传标记用于鸭种之间遗传多样性分析和系统发生关系的分析；我国所有家鸭群体平均杂合度（0．569）低于国内的家鸡和家鹅，其遗传多样性相对贫乏；聚类结果分析表明了各家鸭品种的分子系统发生关系与其育成史、分化及地理分布比较一致。     

Molecular characterization of Ethiopian indigenous goat populations

Six Ethiopian indigenous goat populations viz. Gumuz, Agew, Begia-Medir, Bati, Abergelle, and Central Abergelle were genotyped for 15 microsatellite markers recommended by Food and Agriculture Organization of the United Nations and International Society for Animal Genetics. A total of 158 individual goats were tested to assess genetic variations within and between the goat populations in the Amhara Region of Ethiopia. The markers revealed 100% polymorphism across six goat populations indicating the presence of genetic diversity, which is an important variable to measure genetic variability within and between populations. The mean observed and expected heterozygosity values ranged from 0.56 (Central Abergelle) to 0.68 (Bati) and 0.59 (Abergelle) to 0.69 (Agew goat), respectively. The lowest genetic distance was observed between Begia-Medir and Central Abergelle (0.039), and the largest distances between Agew and Abergelle (0.140) and Gumuz and Abergelle (0.169). Neighbor-joining and the unweighted pair group method with arithmetic mean methods with bootstrap value of 1,000 was used which grouped the six goat populations into two major groups viz. the Abergelle goat cluster as one group and the Agew, Gumuz, Bati, Begia-Medir, and Central Abergelle goats as the second group. In our study, the obtained higher total variation within the goat populations (95%) confirms a close relatedness of the studied goat ecotypes, which might have happened due to the existence of uncontrolled animal breeding strategies resulting from uncontrolled movement of animals through various market routes and agricultural extension systems. The study contributed to the genetic characterization of Ethiopian indigenous goat populations and demonstrated the usefulness of the 15 microsatellite makers for biodiversity studies in goats.     

Analysis of genetic diversity and the determination of relationships among western Mediterranean horse breeds using microsatellite markers

The distribution of genetic diversity and the genetic relationships among western Mediterranean horse breeds were investigated using microsatellite markers. The examined sample included seven Spanish and three Italian local horse breeds and populations, plus a Spanish Thoroughbred outgroup. The total number of animals examined was 682 (on average 62 animals per breed; range 20–122). The microsatellite marker set analysed provided 128 alleles (10.7 alleles per locus). Within‐breed genetic diversity was always high (>0.70), with breeds contributing about 8% of the total genetic variability. The mean molecular coancestry of the entire population examined was 0.205, Losino being the breed that contributed most. In addition to Nei's standard and Reynolds’ genetic distances, pair‐wise kinship distance and molecular coancestry were estimated. Remarkably similar breed rankings were obtained with all methods. Clustering analysis provided an accurate representation of the current genetic relationships among the breeds. Determining coancestry is useful for analysing genetic diversity distribution between and within breeds and provides a good framework for jointly analysing molecular markers and pedigree information. An integrated analysis was undertaken to obtain information on the population dynamics in western Mediterranean native horse populations, and to better determine conservation priorities.     

Genetic analysis of Trichinella populations by 'cold' single-strand conformation polymorphism analysis

A non-isotopic single-strand conformation polymorphism ('cold' SSCP) technique has been assessed for the analysis of sequence variability in the expansion segment 5 (ES5) of domain IV and the D3 domain of nuclear ribosomal DNA within and/or among isolates and individual muscle (first-stage) larvae representing all currently recognized species/genotypes of Trichinella. Data are consistent with the ability of cold SSCP to identify intra-specific as well as inter-specific variability among Trichinella genotypes. The cold SSCP approach should be applicable to a range of other genetic markers for comparative studies of Trichinella populations globally.     

Development of DNA markers for improvement of meat quality in a Japanese Black cattle population in Hyogo Prefecture

The polymorphisms associated with economic traits in livestock animals provide useful information as genetic indicators for breeding improvement. Over the last two decades, several DNA markers have been developed in Japanese Black cattle; however, the effect of these markers differs across populations due to differences in their genetic structures and backgrounds. As such, there is a need to verify the effectiveness of these markers in each population. This review summarizes the effectiveness of previously reported markers on carcass traits and the development of novel DNA markers in a Japanese Black cattle population in Hyogo Prefecture. As result of genome wide association studies and resequencing analyses, two novel significant markers associated with meat quality-related traits (beef marbling and fatty acid composition) were developed. These findings will lead to the identification of responsible genes and polymorphisms and contribute to the development of novel DNA markers for numerous traits in various cattle populations.     

中国地方肉用鹅种种群的遗传变异

对我国18个地方肉用鹅品种资源的遗传多样性进行了31微卫星标记的研究。结果表明:总共检测到188个等位基因,其中等位基因数最多的位点为TTUCG5(12个);最少的位点为CKW19(2个);而且每个位点的等位基因分布并不均匀,都有一种或几种优势基因存在。18个品种中,平均杂合度最高的为乌棕鹅(0.6727),杂合度最低的为雁鹅(0.5010)。反映了各鹅种的遗传多样性水平都较丰富。通过计算DS遗传距离发现18个品种的遗传距离较远,分化时间较长。UPGMA聚类结果将18个地方肉用鹅品种聚为6类,聚类结果与各品种的生态地域分布和经济类型有一定的关系,尤其与生态地域的关系较为密切。该聚类结果对了解和获取各个品种内和品种间的遗传信息和遗传关系具有更准确更普遍性的依据。     

Genetic diversity in Egyptian and Italian goat breeds measured with microsatellite polymorphism.

Seven microsatellite markers were used to study genetic diversity of three Egyptian (Egyptian Baladi, Barki and Zaraibi) and two Italian (Maltese and Montefalcone) goat breeds. The microsatellites showed a high polymorphic information content (PIC) of more than 0.5 in most of the locus-breed combinations and indicated that the loci were useful in assessing within- and between-breed variability of domestic goat (Capra hircus). The expected heterozygosity of the breeds varied from 0.670 to 0.792. In the geographically wider distributed Egyptian Baladi breed there were indications for deviations from random breeding. Analysis of genetic distances and population structure grouped the three Egyptian goat breeds together, and separated them from the two Italian breeds. The studied Mediterranean breeds sampled from African and European populations seem to have differentiated from each other with only little genetic exchange between the geographically isolated populations.     

Testing genetic determinism in rate of hoof growth in pigs using Bayes Factors

Excessive growth and consequent deformity of hooves is a frequent disorder in some purebred pig populations. A test to detect possible genetic determinism related with this phenomenon was performed using the Bayes Factor (BF). Data were available for females from three purebred selection lines: Landrace (561 records), Pietrain (183) and Large White (225). Animals were scored in four categories, according to the overall growth rate of their hooves. A Bayesian analysis was performed separately for each line using a threshold model with a probit approach, and Bayes Factors between models with and without additive genetic effects were computed. Results from the three lines showed that models exhibiting genetic variability were much more probable than those that did not include a genetic component, with BF values of 312, 35 and 40 (and posterior probabilities of 0.99, 0.97 and 0.98), respectively, for the Landrace, Pietrain and Large White lines. Monte Carlo estimates of posterior means of heritabilities were medium to high (0.25, 0.41 and 0.38, respectively), and the highest posterior density region for heritability at 99% did not include zero in any of the three lines. These results allow us to conclude that genetic determinism has an important influence upon the rate of hoof growth in the pig. A potential genetic response can be achieved in the populations analysed, but further studies are needed to determine the genetic architecture of hoof growth disorders in pigs.     

Diversity in five goat populations of the Lombardy Alps: comparison of estimates obtained from morphometric traits and molecular markers

Phenotypic and genetic variability were studied within and between the goat populations of Bionda dell'Adamello, Frisa, Orobica, Verzaschese and Val di Livo. These are populations reared for most of the year on pastures of the Lombardy Alps, numbering a minimum of 1000 and a maximum of 8000 individuals per breed. The first four are standardized breeds of recent formation; at present they are supported by the European Union measures for the conservation of rare breeds. On the basis of its visible genetic profile the Val di Livo goat may be classified as a primary population. Phenotypic variability was estimated on the basis of six somatic measurements on 60–140 adult goats per breed, whereas genetic variation was measured on the basis of 201 AFLP loci. The partition of the total molecular variation into the within and between breed components indicates that the majority of the molecular variability is conserved within populations, whereas only 8.8% can be attributed to between population variation. Morphometric and molecular marker data produced unrelated distance values and different topology of UPGMA clusters. It may be hypothesized that the morphometric originality of the Val di Livo goat is mostly determined by environmental factors and selection pressure rather than by different origin and genome evolution. Conversely Orobica seems to have diverged from the other breeds at the genome level, which may be explained by an undocumented Southern Italian origin. An objective evaluation of conservation priorities may in the near future be based on the integrated use of molecular markers and of information on quantitative traits and allelic variation with adaptive relevance.     

Genetic structure in Atlantic brown trout (Salmo trutta L.) populations in the Iberian peninsula: evidence from mitochondrial and nuclear DNA analysis

Brown trout (Salmo trutta L.) was sampled in rivers belonging to three different Spanish basins in order to analyse the distribution of genetic variability. The genetic analysis was performed by using two systems and techniques: nuclear DNA was screened through random amplified polymorphic DNAs (screening 2 × 10⁵ bp of the whole genome), and mitochondrial DNA (mtDNA) through sequencing of the hypervariable control region. Genetic distances between the populations were similar using either analysis although some differences arise. For example, some populations of the Tajo basin were very close through nuclear analysis but more distant using mtDNA. Differences between the two DNA sources could be the result of a different evolutionary rate, and the fact that mtDNA is maternally transmitted and differences in sex migration rates will influence the patterns of genetic variation between the transmitted DNAs. Total variation was partitioned using amova showing a clear subdivision among basins although intrapopulation variation remained as high as 62%. A correspondence analysis defined the differences in a three‐dimensional way, clustering the populations according to their common basin. When mtDNA was sequenced, higher variability was noted in the segment between 400 and 600bp of the whole D‐loop sequence, suggesting that these 200bp improved the analysis of the variability more than sequencing the t‐RNA ends of the control region. A comparison was made between the t‐RNA^Pro ends of the 10 populations screened here and the rest of the published sequences found in the literature, leading to a concentration of these populations in group IV which includes all trouts which originate in the Atlantic. The analyses performed suggest that a high genetic variability is present in all populations and that although there has been a probable interference from stocked strains introduced to increase population density, this was only detectable through the variance between rivers which reflect different policies according to the region where the basin is located. However, the genetic analysis using the two approaches allows the control of the natural populations avoiding a loss of their genetic potential.     

Genetic structure in Atlantic brown trout (Salmo trutta L.) populations in the Iberian peninsula: evidence from mitochondrial and nuclear DNA analysis

Brown trout (Salmo trutta L.) was sampled in rivers belonging to three different Spanish basins in order to analyse the distribution of genetic variability. The genetic analysis was performed by using two systems and techniques: nuclear DNA was screened through random amplified polymorphic DNAs (screening 2 × 10⁵ bp of the whole genome), and mitochondrial DNA (mtDNA) through sequencing of the hypervariable control region. Genetic distances between the populations were similar using either analysis although some differences arise. For example, some populations of the Tajo basin were very close through nuclear analysis but more distant using mtDNA. Differences between the two DNA sources could be the result of a different evolutionary rate, and the fact that mtDNA is maternally transmitted and differences in sex migration rates will influence the patterns of genetic variation between the transmitted DNAs. Total variation was partitioned using amova showing a clear subdivision among basins although intrapopulation variation remained as high as 62%. A correspondence analysis defined the differences in a three‐dimensional way, clustering the populations according to their common basin. When mtDNA was sequenced, higher variability was noted in the segment between 400 and 600 bp of the whole D‐loop sequence, suggesting that these 200 bp improved the analysis of the variability more than sequencing the t‐RNA ends of the control region. A comparison was made between the t‐RNA^Pro ends of the 10 populations screened here and the rest of the published sequences found in the literature, leading to a concentration of these populations in group IV which includes all trouts which originate in the Atlantic. The analyses performed suggest that a high genetic variability is present in all populations and that although there has been a probable interference from stocked strains introduced to increase population density, this was only detectable through the variance between rivers which reflect different policies according to the region where the basin is located. However, the genetic analysis using the two approaches allows the control of the natural populations avoiding a loss of their genetic potential.     

A molecular analysis of the patterns of genetic diversity in local chickens from western Algeria in comparison with commercial lines and wild jungle fowls

The objectives of this study were to characterize the genetic variability of village chickens from three agro‐ecological regions of western Algeria: coastal (CT), inland plains (IP) and highlands (HL), to reveal any underlying population structure, and to evaluate potential genetic introgression from commercial lines into local populations. A set of 233 chickens was genotyped with a panel of 23 microsatellite markers. Geographical coordinates were individually recorded. Eight reference populations were included in the study to investigate potential gene flow: four highly selected commercial pure lines and four lines of French slow‐growing chickens. Two populations of wild red jungle fowls were also genotyped to compare the range of diversity between domestic and wild fowls. A genetic diversity analysis was conducted both within and between populations. Multivariate redundancy analyses were performed to assess the relative influence of geographical location among Algerian ecotypes. The results showed a high genetic variability within the Algerian population, with 184 alleles and a mean number of 8.09 alleles per locus. The values of heterozygosity (He and Ho) ranged from 0.55 to 0.62 in Algerian ecotypes and were smaller than values found in Jungle fowl populations and higher than values found in commercial populations. Although the structuring analysis of genotypes did not reveal clear subpopulations within Algerian ecotypes, the supervised approach using geographical data showed a significant (p < 0.01) differentiation between the three ecotypes which was mainly due to altitude. Thus, the genetic diversity of Algerian ecotypes may be under the influence of two factors with contradictory effects: the geographical location and climatic conditions may induce some differentiation, whereas the high level of exchanges and gene flow may suppress it. Evidence of gene flow between commercial and Algerian local populations was observed, which may be due to unrecorded crossing with commercial chickens. Chicken ecotypes from western Algeria are characterized by a high genetic diversity and must be safeguarded as an important reservoir of genetic diversity.     

Genetic diversity and conservation of South African indigenous chicken populations

In this study, we compare the level and distribution of genetic variation between South African conserved and village chicken populations using microsatellite markers. In addition, diversity in South African chickens was compared to that of a reference data set consisting of other African and purebred commercial lines. Three chicken populations Venda, Ovambo and Eastern Cape and four conserved flocks of the Venda, Ovambo, Naked Neck and Potchefstroom Koekoek from the Poultry Breeding Resource Unit of the Agricultural Research Council were genotyped at 29 autosomal microsatellite loci. All markers were polymorphic. Village chicken populations were more diverse than conservation flocks. structure software was used to cluster individuals to a predefined number of 2 ≤ K ≤ 6 clusters. The most probable clustering was found at K = 5 (95% identical runs). At this level of differentiation, the four conservation flocks separated as four independent clusters, while the three village chicken populations together formed another cluster. Thus, cluster analysis indicated a clear subdivision of each of the conservation flocks that were different from the three village chicken populations. The contribution of each South African chicken populations to the total diversity of the chickens studied was determined by calculating the optimal core set contributions based on Marker estimated kinship. Safe set analysis was carried out using bootstrapped kinship values calculated to relate the added genetic diversity of seven South African chicken populations to a set of reference populations consisting of other African and purebred commercial broiler and layer chickens. In both core set and the safe set analyses, village chicken populations scored slightly higher to the reference set compared to conservation flocks. Overall, the present study demonstrated that the conservation flocks of South African chickens displayed considerable genetic variability that is different from that of the assumed founder populations (village chickens).