共查询到19条相似文献，搜索用时 250 毫秒
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采用PCR测序与PCR-RFLP技术,研究了SLC24A5基因变异与他留乌骨鸡羽色及肤色的关系。通过对他留乌骨鸡麻羽、白羽和黑羽3个品系以及乌骨与非乌骨2个类型的SLC24A5基因个体测序,共检测到19个SNP位点,其中3个位点引起氨基酸变异。采用每个品系或类型PCR扩增池测序技术,确定了每个SNP位点在不同品系或类型的基因频率,在分析基因频率差异及SNP变异特性的基础上,针对G482C位点,建立了Nhe I mismatch PCR-RFLP分子标记。利用该遗传标记对所有受试个体进行基因分型,并分析其与羽色肤色性状的相关性。结果表明,SLC24A5基因Nhe I mismatch PCR-RFLP分子标记与肤色性状显著相关。 相似文献
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《畜牧兽医学报》2019,(12)
旨在利用基因分型测序(genotyping by sequencing,GBS)技术对梅花鹿、马鹿及其杂交后代(F1、F2)基因组的SNP特征进行分析。本试验采用GBS技术对梅花鹿(63个)、马鹿(12个)及其杂交后代(F1代112个,F2代38个,未知类型个体1个)共226个个体的血液基因组DNA进行测序,并利用本实验室前期110只梅花鹿、197只马鹿和1只F1代杂交鹿的测序数据,以梅花鹿全基因组为参考序列进行比对分析。结果,226个个体共产生Clean data 322.683 Gb,平均每个样品1 427.802 Mb;将所有样本作为一个群体检测SNP变异,共检测出SNP位点23 943 582个,质控过滤后得到SNP位点31 630个。对31 630个SNPs使用最大似然(maximum likelihood, ML)法构建的分子进化树显示,梅花鹿、马鹿、F1及F2代区分明显。对梅花鹿和马鹿的SNPs进行比对分析,筛选出可用于鉴别马鹿、梅花鹿、F1、F2的物种特异SNP位点1 032个(马鹿特异SNP位点474个,梅花鹿特异SNP位点558个),计算结果显示,F1代个体包含马鹿特异SNPs的比例主要在40%～60%之间,F2代个体含马鹿特异SNPs的比例主要在10%～30%之间,马鹿个体中不含梅花鹿的特异SNPs,梅花鹿中55.49%的个体不含马鹿特异SNPs,17.34%的个体含马鹿特异SNPs的比例低于1%,13.29%的个体含马鹿特异SNPs的比例在1%～10%之间,其余个体含马鹿特异SNPs的比例为10%～20%(其中有一个个体含马鹿特异SNPs的比例为33.3%)。该研究为花马杂交鹿后代的鉴定提供了可靠标记,并定量估计了F1和F2代个体含马鹿特异SNPs的比例,马鹿个体中不含梅花鹿的特异SNPs,这对梅花鹿、马鹿及其杂交后代(F1、F2)的鉴别具有重要意义。 相似文献
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用寡核苷酸探针对近交系小鼠DNA指纹图谱的分析 总被引：3，自引：0，他引：3
应用DNA指纹技术，用非放射性标记的寡核苷酸探针(GGAT)。对3个清洁级近交小鼠品系C57、DBA／2、BALB／c进行检测，分析其DNA指纹图谱。结果显示，不同品系近交系小鼠的DNA指纹图谱有明显差异，而品系内小鼠之间的DNA指纹图谱基本一致。证明DNA指纹技术能够较好地检测出近交系小鼠的基因纯合性，反映其遗传质量，可以应用于对近交系小鼠的遗传质量监测。 相似文献
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为了研究绵羊高繁殖力候选基因骨形态发生蛋白15(bone morphogenetic protein 15, BMP15)基因和生长分化因子9(growth differentiation factor 9,GDF9)基因的多态性及不同基因型对滩寒杂交F1代群体繁殖性状的影响，试验以采集的915份滩寒杂交F1代群体血液样本为研究对象，采用飞行时间质谱基因分型技术进行SNP位点分型和遗传多态性分析，并利用Sanger测序技术进行验证，然后对不同基因型与滩寒杂交F1代群体繁殖性状和泌乳性状分别进行关联分析。结果表明：BMP15和GDF9基因SNP位点在915份DNA样本中均呈集中聚类分布。滩寒杂交F1代群体BMP15和GDF9基因均存在AA、AB、BB 3种基因型，其中BMP15基因在滩寒杂交F1代群体中的优势等位基因为A基因，基因型频率为0.69;GDF9基因在滩寒杂交F1代群体中的优势等位基因为A基因，基因型频率为0.58。BMP15和GDF9基因SNP位点在滩寒杂交F1代群体中均处于中度多态，GDF9基因处于Hardy-Weinberg平衡状态(P>0.05)。BMP15和GD... 相似文献
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DNA指纹技术在近交系动物遗传检测中的研究 总被引：2，自引：0，他引：2
采用生物素标记的(GGAT)4寡核苷酸探针对DBA1、DBA2两种近交系小鼠及DBA2×DBA1 F1代小鼠进行了DNA指纹图分析,并与常规生化位点标记分析法进行了比较.结果显示,DNA指纹图具有良好的多态性,不仅可以分辨生化位点标记分析法能够区分的不同品系的近交系动物,而且也能够分辨生化位点标记分析法不能区分的不同品系的近交系动物.研究还表明,用同一方法重复同一基因组DNA的指纹图时,获得相同的实验结果.因此,DNA指纹图法不仅比传统的生化位点检测分析法有更好的分辨力,也具有良好的稳定性. 相似文献
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为更好地了解奶山羊在世代更替中的遗传谱系,避免因错误谱系记录造成群体近交程度过高,本研究利用液相SNP芯片标记技术确立羊群遗传谱系及其亲缘关系。通过简化基因组测序,对25个不同种群的崂山奶山羊基因组DNA样本进行分析,挑选出1 792个SNP多态性位点,再通过靶向测序基因型分型,合成低通量的探针,最后对探针进行相应的捕获测试,开发出检测崂山奶山羊遗传基因的低密度液相SNP芯片。将该液相芯片应用于300只崂山奶山羊群体的血缘关系鉴定,与已知300只奶山羊系谱记录的亲缘关系进行对比,发现结果高度吻合,证明此芯片具有很高的准确性。本实验开发出均一性高、位点多态性好的低密度液相芯片技术,可专门用于崂山奶山羊亲缘关系鉴定,从而更好地指导奶山羊的选种选配。 相似文献
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《畜牧与兽医》2021,(5)
旨在利用全基因组关联分析(genome-wide association study, GWAS)挖掘与湖羊繁殖性状相关的候选基因,解析湖羊高繁殖性状的遗传基础。本研究利用206只湖羊母羊的全基因二代重测序数据(群体平均测序深度为6×),结合第一胎产羔数、第二胎产羔数及2胎平均产羔数的表型性状,基于混合线性模型,并利用质控后的1 604 526个SNP标记进行全基因组关联分析。结果:未发现影响湖羊第一胎产羔数、第二胎产羔数和2胎平均产羔数的显著SNP位点,这可能与羊的繁殖性状是一种低遗传力性状、且受微效多基因控制有关。此外表明,本研究所使用的混合线性模型被验证是可信的。 相似文献
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应用高分辨溶解曲线(HRM)技术分析猪微卫星多态性 总被引：3，自引：0，他引：3
为了验证利用高分辨熔解曲线(high-resolution melting curve analysis,HRM)技术对猪微卫星标记进行基因分型的可行性和可靠性,使用非变性聚丙烯酰胺凝胶电泳(PAGE)方法对5个微卫星(SSRs)位点多态性进行检测,再使用HRM技术对这5个微卫星(SSRs)位点进行基因分型测定,最后对1个微卫星的所有基因型进行单克隆测序。结果表明:在样本测试中,使用HRM技术分辨出S0107和SW1953位点均有8种基因型,SW72位点有6种基因型,SW29位点有5种基因型,SW2155位点有4种基因型,其结果与利用非变性聚丙烯酰胺凝胶电泳方法检测的结果完全吻合,并且SW72位点的所有基因型克隆测序结果与HRM检测一致。这些结果提示,HRM分析技术可作为筛选猪微卫星标记多态性和对其进行基因分型的有效手段。 相似文献
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基于GBS技术对梅花鹿、马鹿及其杂交后代基因组SNP特征的分析 总被引：1，自引：0，他引：1
旨在利用基因分型测序（genotyping by sequencing,GBS）技术对梅花鹿、马鹿及其杂交后代（F1、F2）基因组的SNP特征进行分析。本试验采用GBS技术对梅花鹿（63个）、马鹿（12个）及其杂交后代（F1代112个,F2代38个,未知类型个体1个）共226个个体的血液基因组DNA进行测序,并利用本实验室前期110只梅花鹿、197只马鹿和1只F1代杂交鹿的测序数据,以梅花鹿全基因组为参考序列进行比对分析。结果,226个个体共产生Clean data 322.683 Gb,平均每个样品1 427.802 Mb;将所有样本作为一个群体检测SNP变异,共检测出SNP位点23 943 582个,质控过滤后得到SNP位点31 630个。对31 630个SNPs使用最大似然（maximum likelihood,ML）法构建的分子进化树显示,梅花鹿、马鹿、F1及F2代区分明显。对梅花鹿和马鹿的SNPs进行比对分析,筛选出可用于鉴别马鹿、梅花鹿、F1、F2的物种特异SNP位点1 032个（马鹿特异SNP位点474个,梅花鹿特异SNP位点558个）,计算结果显示,F1代个体包含马鹿特异SNPs的比例主要在40%~60%之间,F2代个体含马鹿特异SNPs的比例主要在10%~30%之间,马鹿个体中不含梅花鹿的特异SNPs,梅花鹿中55.49%的个体不含马鹿特异SNPs,17.34%的个体含马鹿特异SNPs的比例低于1%,13.29%的个体含马鹿特异SNPs的比例在1%~10%之间,其余个体含马鹿特异SNPs的比例为10%~20%（其中有一个个体含马鹿特异SNPs的比例为33.3%）。该研究为花马杂交鹿后代的鉴定提供了可靠标记,并定量估计了F1和F2代个体含马鹿特异SNPs的比例,马鹿个体中不含梅花鹿的特异SNPs,这对梅花鹿、马鹿及其杂交后代（F1、F2）的鉴别具有重要意义。 相似文献
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PANG Chun-ying DENG Ting-xian LU Xing-rong ZHU Peng DUAN An-qin LIANG Xian-wei 《中国畜牧兽医》2016,43(9):2418-2424
This study was aimed to detect the polymorphisms of Leptin gene in buffalo that provided a fundamental for further study on marker assisted breeding in buffaloes.The single nuclease polymorphisms (SNP) of Leptin gene were identified and genotyped by using DNA pooled sequencing and high-resolution melting (HRM) method in three buffalo breeds with 182 buffalo individuals,respectively.The results showed that seven SNPs of Leptin gene were identified in studied population that were located in the intron 1,intron 2 and exon 3 regions,respectively.All the SNPs loci were moderate polymorphism except for the SNP5 and SNP6.The χ2-test indicated that all the SNPs loci were in agreement with Hardy-Weinberg equilibrium in Nili-Ravi population (P>0.05).Our findings revealed that seven SNPs of Leptin gene in buffalo were identified and genotyped in population,which provide the data support for further analyzing the associations between these polymorphism and production traits in buffaloes. 相似文献
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试验旨在检测水牛瘦素（Leptin）基因序列的多态性,为进一步开展水牛标记辅助育种研究奠定基础。运用DNA混合池结合直接测序及高分辨熔解曲线（HRM）法在182头奶水牛个体中进行Leptin基因SNP位点的筛选和分型。结果表明,在试验群体中Leptin基因共发现7个SNPs,位于内含子1、内含子3和外显子3区域,分别是A3123G、A3776G、A4154G、A5228G、A5524C、G5573T和A5751C。除了SNP5和SNP6位点在尼里－拉菲水牛群体中的多态信息含量（PIC）属于低度多态之外,所有SNPs位点在3个水牛群体中均属于中度多态。经χ2检验,所有SNPs位点的突变在尼里－拉菲水牛群体均达到Hardy-Weinberg平衡状态（P>0.05）。本研究成功筛查7个水牛Leptin基因SNPs位点并进行了基因分型,为下一步开展奶水牛Leptin基因的标记－性状关联分析奠定基础。 相似文献
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M. Pérez‐Enciso 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2014,131(2):85-96
The use of sequence data in genomic prediction models is a topic of high interest, given the decreasing prices of current ‘next’‐generation sequencing technologies (NGS) and the theoretical possibility of directly interrogating the genomes for all causal mutations. Here, we compare by simulation how well genetic relationships (G) could be estimated using either NGS or ascertained SNP arrays. DNA sequences were simulated using the coalescence according to two scenarios: a ‘cattle’ scenario that consisted of a bottleneck followed by a split in two breeds without migration, and a ‘pig’ model where Chinese introgression into international pig breeds was simulated. We found that introgression results in a large amount of variability across the genome and between individuals, both in differentiation and in diversity. In general, NGS data allowed the most accurate estimates of G, provided enough sequencing depth was available, because shallow NGS (4×) may result in highly distorted estimates of G elements, especially if not standardized by allele frequency. However, high‐density genotyping can also result in accurate estimates of G . Given that genotyping is much less noisy than NGS data, it is suggested that specific high‐density arrays (~3M SNPs) that minimize the effects of ascertainment could be developed in the population of interest by sequencing the most influential animals and rely on those arrays for implementing genomic selection. 相似文献
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试验旨在对基于基因分型测序（genotyping by sequencing,GBS）技术筛选出的马鹿特异性SNPs位点的准确性进行验证,为梅花鹿、马鹿及其杂交后代的鉴别提供可靠的分子遗传标记。随机选取30个马鹿特异性SNPs位点,根据SNPs位点前后各200 bp的序列,利用Primer Premier 6.0软件设计特异性引物,以随机选取的验证样本DNA作为模板进行PCR扩增,并进行Sanger测序,对测序结果利用BioEdit软件进行峰图的观察,利用Mega 6.0软件对测序得到的序列进行比对分析并观察每个特异性SNP位点在不同验证群体中的基因型,对每一个马鹿特异性位点的峰图和比对信息进行统计分析。结果表明,30个马鹿特异性位点中有28个和前期研究结果一致,其中1个SNP位点（SNP3）中G等位基因在梅花鹿中的基因频率为0.05,而G等位基因在马鹿中的基因频率为1,G等位基因在马鹿个体中的基因频率比在梅花鹿个体中高,同时,利用SPSS 22.0进行统计分析发现,该位点在马鹿和梅花鹿中基因型分布表现出显著性差异（P<0.05）;另外1个SNP位点（SNP5）中T等位基因在梅花鹿的基因频率为0.15,而在马鹿中的基因频率为1,且这个SNP位点在梅花鹿和马鹿中基因型分布差异显著（P<0.05）,所以这2个位点仍然可以作为马鹿的特异性SNPs位点。研究结果说明了GBS测序筛选出的马鹿特异性SNPs可以作为鉴定的分子标记,对梅花鹿、马鹿及其杂交后代的鉴别奠定了理论基础。 相似文献
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I.M. MacLeod B.J. Hayes K.W. Savin A.J. Chamberlain H.C. McPartlan M.E. Goddard 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2010,127(2):133-142
There is increasing use of dense single nucleotide polymorphisms (SNPs) for whole‐genome association studies (WGAS) in livestock to map and identify quantitative trait loci (QTL). These studies rely on linkage disequilibrium (LD) to detect an association between SNP genotypes and phenotypes. The power and precision of these WGAS are unknown, and will depend on the extent of LD in the experimental population. One complication for WGAS in livestock populations is that they typically consist of many paternal half‐sib families, and in some cases full‐sib families; unless this subtle population stratification is accounted for, many spurious associations may be reported. Our aim was to investigate the power, precision and false discovery rates of WGAS for QTL discovery, with a commercial SNP array, given existing patterns of LD in cattle. We also tested the efficiency of selective genotyping animals. A total of 365 cattle were genotyped for 9232 SNPs. We simulated a QTL effect as well as polygenic and environmental effects for all animals. One QTL was simulated on a randomly chosen SNP and accounted for 5%, 10% or 18% of the total variance. The power to detect a moderate‐sized additive QTL (5% of the phenotypic variance) with 365 animals genotyped was 37% (p < 0.001). Most importantly, if pedigree structure was not accounted for, the number of false positives significantly increased above those expected by chance alone. Selective genotyping also resulted in a significant increase in false positives, even when pedigree structure was accounted for. 相似文献
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XUAN Jun-li MA Xiao-meng YUAN Ze-hu HU Shi-jin WANG Hui-hua WEI Cai-hong ZHAO Fu-ping ZHANG Li DU Li-xin 《中国畜牧兽医》2016,43(8):2081-2094
This study was aimed to investigate the distribution of genetic polymorphism of taste receptor family 1 member (T1R) gene between Ujimqin sheep and Hu sheep.DNA pools direct sequencing method and MALDI-TOFMS method were used to analyze genetic variation of T1R genes in 172 sheep of two Chinese sheep strains of Mongolian,and bioinformatics software predicted what impact polymorphic loci had to mRNA and protein secondary structure of T1R gene.The results showed that 9 SNPs were screened in T1R gene of two groups.Chi-square test for independence was taken to find the genotypes of the 5 SNPs which were significantly different between two sheep population(P<0.05),SNP2 located in TAS1R1 gene,SNP4,SNP7 and SNP8 located in TAS1R2 gene,SNP10 located in TAS1R3 gene.SNP2,SNP7 and SNP10 were silent mutations.SNP2 and SNP10 lead to corresponding gene mRNA secondary structure and the minimum free energy change,while the SNP7 only lead to the minimum free energy changes.SNP4 and SNP8 were missense mutations,the two missense mutations respectively led to asparagine(Asn) into serine (Ser),threonine (Thr) into methionine (Met),and according to online software forecast,the protein secondary structure of TAS1R2 gene all changed in mutations before and after. 相似文献
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为了探讨绵羊味觉受体第一家族（taste receptor family 1 member,T1R）基因外显子多态性及其基因型在乌珠穆沁羊和湖羊群体中分布的差异性,试验采用DNA池直接测序及飞行时间质谱（MALDI-TOFMS）法对中国蒙古系两个绵羊品种共172个个体T1Rs基因外显子的遗传变异情况进行分析,利用生物信息学软件预测多态位点对T1Rs基因mRNA二级结构和蛋白质二级结构的影响。结果表明,在两个群体的T1R家族基因中筛查到9个SNPs。独立性卡方检验显示有5个多态位点基因型的分布在两个绵羊群体中存在显著性差异（P<0.05）,分别为TAS1R1基因上的SNP2,TAS1R2基因上的SNP4、SNP7和SNP8,TAS1R3上的SNP10,其中,SNP2、SNP7和SNP10为同义突变;SNP2和SNP10导致相应基因mRNA二级结构和最小自由能的改变,而SNP7仅导致TAS1R2基因最小自由能发生改变;SNP4和SNP8为错义突变,分别导致TAS1R2蛋白质中第379位天冬酰胺变为丝氨酸和第701位苏氨酸变成蛋氨酸,且突变前后受体蛋白的二级结构均发生改变。 相似文献
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试验旨在探索WNT4和HOXC13基因多态性及其对西藏绒山羊绒毛纤维直径性状的影响，寻找与西藏绒山羊绒毛纤维直径性状相关的分子标记。以380只1岁西藏绒山羊群体为研究对象，利用混池DNA直接测序法检测WNT4和HOXC13基因的SNP，利用飞行时间质谱技术对SNP分型，利用SAS 9.1软件中最小二乘方差模型对SNP位点与绒毛平均纤维直径、纤维直径标准差、纤维直径变异系数进行关联分析。结果表明，WNT4基因第3外显子区域检测到2个SNPs位点（SNP1和SNP2），HOXC13基因第2外显子区域检测到2个SNPs位点（SNP3和SNP4），均处于中度多态（0.25 < PIC < 0.50）。χ2检验表明，群体中WNT4基因的SNP1和SNP2位点均处于Hardy-Weinberg不平衡状态（P < 0.05）。关联分析结果表明，4个SNPs位点均与平均纤维直径呈极显著相关（P < 0.01），SNP2和SNP3与纤维直径标准差呈极显著相关（P < 0.01），SNP2与纤维直径变异系数呈极显著相关（P < 0.01）。综上，WNT4和HOXC13基因对西藏绒山羊绒毛纤维直径有显著影响，可以尝试将其SNPs位点作为影响西藏绒山羊绒毛纤维直径的分子标记之一，为超细型西藏绒山羊选育工作提供理论依据。 相似文献
19.
A genome‐wide association study for fat‐related traits computed by image analysis in Japanese Black cattle 
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下载免费PDF全文 Ayaka Nakajima Fuki Kawaguchi Yoshinobu Uemoto Moriyuki Fukushima Emi Yoshida Eiji Iwamoto Takayuki Akiyama Namiko Kohama Eiji Kobayashi Takeshi Honda Kenji Oyama Hideyuki Mannen Shinji Sasazaki 《Animal Science Journal》2018,89(5):743-751
The objective of this study was to identify genomic regions associated with fat‐related traits using a Japanese Black cattle population in Hyogo. From 1836 animals, those with high or low values were selected on the basis of corrected phenotype and then pooled into high and low groups (n = 100 each), respectively. DNA pool‐based genome‐wide association study (GWAS) was performed using Illumina BovineSNP50 BeadChip v2 with three replicate assays for each pooled sample. GWAS detected that two single nucleotide polymorphisms (SNPs) on BTA7 (ARS‐BFGL‐NGS‐35463 and Hapmap23838‐BTA‐163815) and one SNP on BTA12 (ARS‐BFGL‐NGS‐2915) significantly affected fat percentage (FAR). The significance of ARS‐BFGL‐NGS‐35463 on BTA7 was confirmed by individual genotyping in all pooled samples. Moreover, association analysis between SNP and FAR in 803 Japanese Black cattle revealed a significant effect of SNP on FAR. Thus, further investigation of these regions is required to identify FAR‐associated genes and mutations, which can lead to the development of DNA markers for marker‐assisted selection for the genetic improvement of beef quality. 相似文献