采用微卫星标记分析13个中外牛品种的遗传变异和品种间的遗传关系

本研究应用联合国粮农组织(FAO)和国际动物遗传学会(ISAG)推荐的10对微卫星引物,结合荧光–多重PCR技术,检测了10个中国地方黄牛品种和3个外来牛品种的基因型。通过计算基因频率、多态信息含量和遗传杂合度,以Nei’s遗传距离和Nei’s标准遗传距离为基础,采用非加权组对算术平均聚类法构建了聚类图,分析了13个牛品种的群体内遗传变异和群体间遗传关系。并以聚类分析和群体结构分析为基础,将13个中外黄牛品种分为三类:Ⅰ类属于普通黄牛品种,包括延边牛、沿江牛、长白地方牛、蒙古牛、阿勒泰白头牛、哈萨克牛、复州牛和西藏牛;Ⅱ类属于含有瘤牛血统的黄牛品种,包括日喀则驼峰牛和阿沛甲咂牛;Ⅲ类属于外来牛品种,包括德国黄牛、西门塔尔牛和夏洛来牛。研究结果为加强我国地方黄牛品种种质特性研究以及地方牛品种资源的保护与利用提供了科学的依据。     

微卫星标记分析罗非鱼群体的遗传潜力

利用25个微卫星标记,对奥利亚罗非鱼2个群体["夏奥1号"(ZA)、广西群体(GA)]和尼罗罗非鱼4个群体[埃及品系(ZN)、88品系(XN)、广西群体(GN)、美国品系(MN)]进行检测。共检测到7 775个扩增片段,长度在100~400 bp;等位基因数3~8个不等,共计143个等位基因;平均每个基因座扩增得到5.72个等位基因。各群体平均观测杂合度(H o)在0.7253~0.8160之间,平均期望杂合度(He)在0.5146~0.6834之间,平均多态信息含量(PIC)在0.4212~0.6105之间,平均有效等位基因数(A e)在2.20~3.23之间。ZA与GA遗传相似系数最高(0.9130),ZA与ZN遗传相似系数最低(0.4352)。总的说来,4个尼罗罗非鱼群体的遗传潜力较高,2个奥利亚罗非鱼群体的遗传潜力适中。     

利用微卫星DNA标记研究绒山羊群体遗传多样性

利用7个微卫星标记对4个绒山羊品种共计18个个体的遗传多样性进行了分析和研究。计算了有效等位基因数、遗传杂合度、遗传距离等,分析了群体相关的遗传变异。结果表明,辽宁多绒山羊的有效等位基因数最大,杂合度最高;而辽宁绒山羊的有效等位基因数最小,杂合度最低。奈氏遗传距离表明,库布齐杂种绒山羊和辽宁多绒山羊的亲缘关系最近,而和阿尔巴斯绒山羊的亲缘关系最远。     

三个虹鳟养殖群体遗传结构的微卫星分析

利用20个微卫星标记对3个虹鳟(Oncorhynchus mykiss)养殖群体进行遗传结构分析。结果表明,(1)3个群体检测的平均等位基因数为3·6～4·1,平均观测杂合度为0·5224～0·6328,平均期望杂合度为0·4736～0·5522,平均多态信息含量为0·4354～0·5084,说明这几个群体多态性属于偏高水平,遗传多样性高。通过d值,确定了Hard-Weinberg平衡的偏离情况,发现AY039638、AY039646在3个群体中都表现为不平衡。对3个群体的遗传距离进行了估算,并进行聚类分析,本溪的两个群体先聚为一支,再与渤海群体相聚,显示出明显的地理特征。(2)本溪虹鳟群体在位点AF352770出现部分等位基因消失的现象;AF352754在本溪群体中表现为位点消失,可作为区分本溪群体和渤海群体的分子标记。(3)综合评价3个群体,渤海站虹鳟群体的遗传多样性最高,与前人研究结果一致。     

利用30个微卫星标记分析长江中下游鲢群体的遗传多样性

摘要: 利用30对微卫星分子标记对长江中下游5个鲢群体进行了遗传多样性分析。结果表明: 在30个基因座中, 共检测到144个等位基因, 每个座位检测到的等位基因数为1～10个, 其中有25个座位具有多态性, 多态位点百分率为83.33,5个群体的平均等位基因数A为4.0/4.1, 平均有效等位基因数Ne为2.4445～2.6332, 平均观察杂合度Ho为0.3233～0.3511, 平均期望杂合度He为0.4421～0.4704, 平均多态信息含量PIC为0.4068～0.4286。对数据进行F-检验, Fst值表明群体间的遗传分化程度中等, 并对基因型进行了基于Hardy-Weinberg平衡的卡方检验, 所得P值说明5个群体均一定程度上偏离了平衡。5个群体间的遗传相似系数为0.8466～0.9146,遗传距离为0.0893～0.1665, 并根据Nei氏标准遗传距离用UPGMA方法对5个鲢群体进行亲缘关系聚类。     

微卫星分析9个哲罗鱼野生群体的遗传多样性

哲罗鱼(Hucho taimen)是我国珍稀的土著冷水性鱼类,目前已处于濒危状态.为了解哲罗鱼的种群遗传多样性和遗传结构,该研究利用20对微卫星标记对9个野生哲罗鱼群体进行了分析.结果表明:9个哲罗鱼群体的观测杂合度在0.0994～0.8882,期望杂合度在0.2005～0.8759,PIC指数在0.3432～0.5261,其中呼玛河群体的遗传多样性较低.群体间的Fst在0.0246～0.2333 (P＜0.0001),Nm在0.8216～9.9292,群体间遗传分化较明显,基因交流少;群体的同胞系比例在27.78％～90.91％,说明近交压力较大,可能经历过遗传瓶颈或存在这样的风险.AMOVA分析表明,群体间各基因座遗传分化系数的均值为0.1081;聚类分析结果显示北极江段群体独立为一支,呼玛河群体与乌苏里江各群体聚为一支,黑龙江中上游各群体聚为一支.这些结果表明,哲罗鱼资源量的减少已经影响了群体间的基因交流.应杜绝对哲罗鱼资源破坏性捕捞,同时加强群体间基因交流,以期达到全面保护哲罗鱼种质资源的目的.     

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。     

梅花鹿3个种群遗传多样性的微卫星标记分析

利用16个微卫星标记对黑龙江省部分地区(兴凯湖农场、大庆市银浪牧场、五大连池大庆农场鹿苑)的3个梅花鹿(Cervus nippon)群体进行了遗传多样性检测.统计了3个鹿群的等位基因组成、平均有效等位基因数(Ne)、平均遗传杂合度(h)和多态信息含量(PIC).结果表明,除5个位点外,其余11个微卫星位点均表现出不同的多态信息含量,其中高度多态位点5个,中度多态位点4个.这说明本研究所选用的微卫星位点可较准确地评估3个梅花鹿群体的遗传多样性,并为今后相关研究筛选出了有价值的引物.3个梅花鹿群体的平均h在0.454～0.636之间变动,其中兴凯湖梅花鹿群体最高,为0.636,具有较大的遗传潜力.     

微卫星标记分析白斑狗鱼遗传多样性

为了解我国境内白斑狗鱼(Esox lucius)野生群体的遗传多样性现状,利用8对微卫星引物对额尔齐斯河流域185河段、635河段、乌伦古湖及吉力湖4个地理群体的遗传多样性进行了研究。结果显示,8个微卫星位点的平均等位基因数为6.625 0,多态信息含量为0.603 6～0.656 5,可有效用于白斑狗鱼遗传多样性和遗传结构分析。4个群体的平均期望杂合度为0.712 6～0.660 0,表明我国境内野生白斑狗鱼群体有较高的遗传多样性水平。整个群体的总近交系数为0.266 6,少数个体存在近交现象,白斑狗鱼群体有近交倾向。平均分化系数为0.062 2,群体间的遗传变异占总群体变异的6.22%,白斑狗鱼各群体间的分化程度不大。群体间的基因流值变化范围为10.077 5～3.360 6,说明白斑狗鱼不同群体间存在较为广泛的基因交流。     

三峡库区5 个鲢群体遗传变异的微卫星分析

研究利用10 个高度多态的微卫星标记对三峡水库秭归、巫山、云阳、忠县、木洞等5 个库区鲢(Hypophthalmichthys molitrix)的野生群体进行了遗传多样性分析。检测到161 个等位基因, 群体共有等位基因84 个, 每个微卫星位点的等位基因数729 不等。平均观测杂合度Ho 为0.7840.846, 平均期望杂合度He 为0.8280.847, 平均多态信息含量PIC 为0.7970.817。Fst 值为-0.0010.009, 表明5 个鲢群体间没有遗传分化。Hardy-Weinberg 平衡检验表明巫山、云阳、木洞群体在一些位点上偏离遗传平衡。Bottleneck 分析显示长江三峡库区江段的鲢群体可能在历史上经历了遗传瓶颈。5 个群体间的遗传相似系数为0.8910.950, 遗传距离为 0.0500.115, 根据 Nei's 遗传距离所绘制的聚类图, 表明鲢群体间的遗传距离与其地理距离基本一致。贝叶斯分析结果也证实三峡库区5 个鲢群体可视为一个类群。尽管没有检测到遗传分化, 数据清晰地表明三峡库区的鲢群体仍有很高的遗传多样性, 研究结果为三峡地区和长江上游的鲢种质资源保护和种群评估提供了参考。       

Genetic variability of dromedary camel populations based on microsatellite markers

Understanding existing levels of genetic variability of camel populations is capital for conservation activities. This study aims to provide information on the genetic diversity of four dromedary populations, including Guerzni, Harcha, Khouari and Marmouri. Blood samples from 227 individuals belonging to the aforementioned populations were obtained and genotyped by 16 microsatellite markers. A total of 215 alleles were observed, with the mean number of alleles per locus being 13.4 ± 6.26. All loci were polymorphic in the studied populations. The average expected heterozygosity varied from a maximum of 0.748 ± 0.122 in Guerzni population to a minimum of 0.702 ± 0.128 in Harcha population; Guerzni population showed the highest value of observed heterozygosity (0.699 ± 0.088), whereas Harcha population the lowest (0.646 ± 0.130). Mean estimates of F-statistics obtained over loci were F_IS = 0.0726, F_IT = 0.0876 and F_ST = 0.0162. The lowest genetic distance was obtained between Guerzni and Khouari (0.023), and the highest genetic distance between Harcha and Marmouri (0.251). The neighbour-joining phylogenetic tree showed two groups of populations indicating a cluster of Guerzni, Khouari and Marmouri, and a clear isolation of Harcha. The genetic distances, the factorial correspondence analysis, the analysis of genetic structure and the phylogenetic tree between populations revealed significant differences between Harcha and other populations, and a high similarity between Guerzni, Khouari and Marmouri. It is concluded from this study that the camel genetic resources studied are well diversified. However, the herd management, especially the random selection of breeding animals, can increase the level of genetic mixing between different populations, mainly among Guerzni, Khouari and Marmouri, that live in the same habitat and grazing area.     

Population genetic analysis of the domestic Bactrian camel in China by RAD‐seq

Restriction site‐associated DNA sequencing (RAD‐seq) is one of the most effective high‐throughput sequencing technologies for SNP development and utilization and has been applied to studying the origin and evolution of various species. The domestic Bactrian camels play an important role in economic trade and cultural construction. They are precious species resources and indispensable animals in China's agricultural production. Recently, the rapid development of modern transportation and agriculture, and the deterioration of the environment have led to a sharp decline in the number of camels. Although there have been some reports on the evolution history of the domestic Bactrian camel in China, the origin, evolutionary relationship, and genetic diversity of the camels are unclear due to the limitations of sample size and sequencing technology. Therefore, 47 samples of seven domestic Bactrian camel species from four regions (Inner Mongolia, Gansu, Qinghai, and Xinjiang) were prepared for RAD‐seq analysis to study the evolutionary relationship and genetic diversity. In addition, seven domestic Bactrian camel species are located in different ecological zones, forming different characteristics and having potential development value. A total of 6,487,849 SNPs were genotyped. On the one hand, the filtered SNP information was used to conduct polymorphism mapping construction, LD attenuation analysis, and nucleotide diversity analysis. The results showed that the number of SNPs in Dongjiang camel was the highest, the LD coefficient decayed the fastest, and the nucleotide diversity was the highest. It indicates that Dongjiang camel has the highest genetic diversity. On the other hand, the filtered SNPs information was used to construct the phylogenetic tree, and F_ST analysis, inbreeding coefficient analysis, principal component analysis, and population structure analysis were carried out. The results showed that Nanjiang camel and Beijiang camels grouped together, and the other five Bactrian camel populations gathered into another branch. It may be because the mountains in the northern part of Xinjiang and the desert in the middle isolate the two groups from the other five groups.     

Genetic diversity in Chinese modern wheat varieties revealed by microsatellite markers

Genetic diversity of 1680 modern varieties in Chinese candidate core collections was analyzed at 78 SSR loci by fluorescence detection system. A total of 1336 alleles were detected, of which 1253 alleles could be annotated into 71 loci. For these 71 loci, the alleles ranged from 4 to 44 with an average of 17.6, and the PIC values changed from 0.19 to 0.89 with an average of 0.69. (1) In the three genomes of wheat, the average genetic richness was B>A>D, and the genetic diversity indexes were B>D>A. (2) Among the seven homoeologous groups, the average genetic richness was 2=7>3>4>6>5>1, and the genetic diversity indexes were 7>3>2>4>6>5>1. As a whole, group 7 possessed the highest genetic diversity, while groups 1 and 5 were the lowest. (3) In the 21 wheat chromosomes, 7A, 3B and 2D possessed much higher genetic diversity, while 2A, 1B, 4D, 5D and 1D were the lowest. (4) The highest average genetic diversity index existed in varieties bred in the 1950s, and then it declined continually. However, the change tendency of genetic diversity among decades was not greatly sharp. This was further illustrated by changes of the average genetic distance between varieties. In the 1950s it was the largest (0.731). Since the 1960s, it has decreased gradually (0.711, 0.706, 0.696, 0.695). The genetic base of modern varieties is becoming narrower and narrower. This should be given enough attention by breeders and policy makers.     

Genetic diversity in Chinese modern wheat varieties revealed by microsatellite markers

Genetic diversity of 1680 modern varieties in Chinese candidate core collections was analyzed at 78 SSR loci by fluorescence detection system. A total of 1336 alleles were detected, of which 1253 alleles could be annotated into 71 loci. For these 71 loci, the alleles ranged from 4 to 44 with an average of 17.6, and the PIC values changed from 0.19 to 0.89 with an average of 0.69. (1) In the three genomes of wheat, the average genetic richness was B>A>D, and the genetic diversity indexes were B>D>A. (2) Among the seven homoeologous groups, the average genetic richness was 2=7>3>4>6>5>1, and the genetic diversity indexes were 7>3>2>4>6>5>1. As a whole, group 7 possessed the highest genetic diversity, while groups 1 and 5 were the lowest. (3) In the 21 wheat chromosomes, 7A, 3B and 2D possessed much higher genetic diversity, while 2A, 1B, 4D, 5D and 1D were the lowest. (4) The highest average genetic diversity index existed in varieties bred in the 1950s, and then it declined continually. However, the change tendency of genetic diversity among decades was not greatly sharp. This was further illustrated by changes of the average genetic distance between varieties. In the 1950s it was the largest (0.731). Since the 1960s, it has decreased gradually (0.711, 0.706, 0.696, 0.695). The genetic base of modern varieties is becoming narrower and narrower. This should be given enough attention by breeders and policy makers.     

中国绒山羊遗传多样性现状和系统发生关系的微卫星分析

为了调查中国绒山羊遗传资源现状, 作者应用联合国粮农组织和国际家畜研究所推荐的19对微卫星引物并结合荧光PCR技术, 对9个中国地方产绒山羊群体和1个西非山羊品种进行了遗传多样性检测。14个微卫星座位在10个山羊群体中显示为高度多态, 可作为山羊遗传多样性分析的有效标记。多态信息含量和遗传杂合度等数据表明: 目前中国地方产绒山羊群体的遗传多样性较为丰富, 并且大部分保种场较好地保存了这些地方资源。采用非加权配对算术平均法构建的聚类图和采用主成分分析法得到的散点图均显示, 中国山羊与西非山羊为不同的2类; 中国产绒山羊中河谷山羊、河西绒山羊与其他山羊的遗传距离较远; 其他山羊又大致分为2类: 一类由辽宁绒山羊、新疆山羊、柴达木山羊、陕北山羊组成, 另一类由内蒙古绒山羊组成。此研究结果为开展我国地方绒山羊种质特性研究及资源保护和利用提供了科学依据。     

野双峰驼各分布区的生存环境差异及评价

世界上野双峰驼(Camelus bactrianus ferus)目前仅分布于中国新疆境内及中蒙边境,即：中国新疆的塔克拉玛干沙漠、阿尔金山北麓、戛顺戈壁、中蒙边境及蒙古国西部的外阿尔泰戈壁。总数共计730～880头。目前已为极度濒危物种。本文对野驼在不同分布区由于生境及人类活动影响所造成的差异加以对比研究并进行评价,为野骆驼保护提供依据。     

Genetic diversity and population structure of Rhododendron simsii (Ericaceae) as revealed by microsatellite markers

Rhododendron simsii Planch. (Ericaceae) is a valuable horticultural and medicinal plant species. In this study, the genetic diversity of eight wild R. simsii populations from the Dabie Mountains (central China) was investigated with 29 microsatellite markers. The results showed that R. simsii harbored a high level of genetic diversity (H_E: 0.64–0.79; H_O: 0.71–0.94; I = 1.917; h = 0.826), and 84.34% of this genetic variation was maintained within populations, while variation among populations only accounted for 15.66%. The number of alleles ranged from 6 to 11, with an average of 9.069. Heterozygote excess was found, with the mean F_IS and F_IT values of ?0.1739 and 0.0092, respectively. The average value of gene flow (Nm) was 1.3525. Within‐population, genetic diversity (I) ranged from 1.131 to 1.681. Cluster analyses divided the eight populations into two clades: the ‘Ltjiuzihe’ population formed its own cluster, while the other seven populations clustered together. There was a weak negative correlation between genetic and geographic distance. The results are highly relevant for the conservation and sustainable utilization of wild R. simsii germplasm resources in central China.     

Identification of a new Indian camel germplasm by microsatellite markers based genetic diversity and population structure of three camel populations

Camel invokes fascinating chapter of Indian desert history and is integral component of its ecosystem. Camel population has reached a crisis point after three decades of decline (75%) causing major concern to the policy makers. >28% of Indian camel is not yet characterized. It is imperative to describe country’s camel germplasm and its existing diversity for designing conservation plan. One such population is Sindhi, distributed along border with Pakistan. Twenty five microsatellite markers being valuable tool for estimating genetic diversity were selected to elucidate genetic variability and relationship of Sindhi with two registered camel breeds of India- Marwari and Kharai. The standard metrics of genomic diversity detected moderate variability in all the three populations. A total of 303 alleles with a mean of 8.116 ± 0.587 alleles per locus were found in total of 143 animals. Sindhi population had intermediate allelic diversity with 8.522 ± 1.063 alleles per locus. Corresponding values in Marwari and Kharai were 8.783 ± 0.962 and 7.043 ± 1.030, respectively. Genetic variability within the breeds was moderate as evidenced by the mean observed heterozygosity of 0.556 ± 0.025. Sindhi camel population harbors higher genetic variability (Ho = 0.594) as compared to the two registered camel breeds (Marwari, 0.543 and Kharai, 0.531). Mean expected heterozygosity under Hardy-Weinberg equilibrium was higher than the observed values across the three camel groups, indicating deviations from assumptions of this model. In fact, average positive F value of 0.084 to 0.206 reflected heterozygote deficiency in these populations. These Indian camel populations have not experienced serious demographic bottlenecks in the recent past. Differences among populations were medium and accounted for 7.3% of total genetic variability. Distinctness of three camel populations was supported by all the approaches utilized to study genetic relationships such as genetic distances, phylogenetic relationship, correspondence analysis, clustering method based on Bayesian approach and individual assignment. Sindhi camel population was clearly separated from two registered breeds of Indian camel. Results conclude Sindhi to be a separate genepool. Moderate genetic diversity provides an optimistic viewpoint for the survival of severely declining indigenous camel populations with appropriate planning strategies for conserving the existing genetic variation and to avoid any escalation of inbreeding.