PRLR、RBP4基因多态性分布及其对大白猪产仔数的影响

为了研究猪繁殖性状候选主效基因PRLR、RBP4多态性在大白猪群中的遗传效应,并应用于遗传改良,试验检测了278头大白母猪的基因多态性分布,分析了2个基因多态性位点不同基因型与该群体1418胎总产仔数和产活仔数的遗传效应。结果表明,PRLR基因位点上优势等位基因为B,其频率为0.538;头胎、二胎和所有胎次各基因型母猪的总产仔数大小均为BBABAA,经产胎次各基因型母猪则为ABBBAA,但均没有显著差异,产活仔数的分析也得到了相似的结果;RBP4基因位点在该群体中均为AA型纯合子。     

边鸡IGF-ⅠR基因AluⅠ位点多态性及其对生长性状和繁殖性状的遗传效应分析

为了寻找与边鸡生长性状和繁殖性状相关的遗传标记,本试验采用PCR-RFLP技术检测边鸡类胰岛素生长因子Ⅰ受体（insulin-like growth factor Ⅰreceptor,IGF-ⅠR）基因Alu Ⅰ位点的多态性,并分析该多态位点对边鸡生长性状和繁殖性状的遗传效应。结果显示,边鸡IGF-ⅠR基因Alu Ⅰ位点存在多态性,在外显子2的376 bp处有1个G→A突变,产生了GG、GA和AA 3种基因型,基因型频率分别为0.687、0.296和0.017,GG为优势基因型;G等位基因频率为0.835,为优势等位基因。卡方适合性检验结果表明,该基因座位在边鸡群体中处于哈代-温伯格平衡状态（P>0.05）。相关分析结果表明,在8、14、16和18周龄时,GG基因型个体的体重显著高于GA基因型（P<0.05）,GG基因型个体的开产体重极显著高于GA基因型个体（P<0.01）,但并不能说明该位点可以作为影响边鸡繁殖性状的遗传标记。IGF-ⅠR基因外显子2的Alu Ⅰ位点（G→A）可能是影响边鸡生长性状的一个遗传标记。     

鸡SH3RF2插入/缺失等位基因在中国地方鸡种中频率分布研究

中国地方鸡种资源丰富,风味较优,但存在生长速度慢、饲料效率低等缺点,因此为了加速我国地方鸡种和肉鸡品种的遗传改良,分子标记技术得到了广泛应用。已知SH3RF2基因的插入/缺失突变与肉鸡生长和体重密切相关,因此本试验对分布在我国各地的15个地方鸡品种进行了SH3RF2基因的等位基因频率检测,以确定SH3RF2基因在我国地方鸡种中的等位基因分布情况,继而将SH3RF2基因用于鸡生长性状的选择的分子育种标记。研究结果发现所检测地方鸡种和肉鸡品种均是非缺失的纯合子,没有发现缺失的等位基因。要利用SH3RF2基因对中国地方鸡种进行选择,可能需要通过杂交等手段将缺失型等位基因导入我国地方鸡种的群体之中。     

IGF-I与IGFBP-1基因对京海黄鸡生长性状的遗传效应分析

旨在对IGF-I和IGFBP-1基因部分SNPs与鸡生长性状进行关联分析。试验以京海黄鸡为材料,采用PCR-SSCP方法检测2个候选基因的单核苷酸多态性(SNPs),采用一般线性模型(GLM)分析基因型与生长性状的遗传效应。结果表明,IGF-I基因外显子3序列的60bp处有A→G的点突变,在京海黄鸡中检测到AA、AB、BB 3种基因型,A等位基因频率为0.613,B等位基因的频率为0.387;IGFBP-1基因外显子2序列的21bp处有A→T的点突变,104bp处有T→C的突变,在京海黄鸡中检测到CC、CD和DD 3种基因型,C等位基因频率为0.558,D等位基因频率为0.442。IGF-I基因BB基因型个体4周龄体质量显著高于AA和AB型个体(P<0.05);IGFBP-1基因DD基因型个体8周龄体质量显著高于CC基因型个体(P<0.05),4、12和16周龄体质量差异极显著(P<0.01)。因此,推测这些SNPs对京海黄鸡生长性状具有一定的影响,应用于鸡育种过程中的标记辅助选择可以加快育种进程。     

Genetic Effects of IGF-Ⅰ and IGFBP-1 Genes on the Growth Traits in Jinghai Yellow Chicken

旨在对IGF-Ⅰ和IGFBP-1基因部分SNPs与鸡生长性状进行关联分析.试验以京海黄鸡为材料,采用PCR-SSCP方法检测2个候选基因的单核苷酸多态性(SNPs),采用一般线性模型(GLM)分析基因型与生长性状的遗传效应.结果表明,IGF-Ⅰ基因外显子3序列的60 bp处有A→G的点突变,在京海黄鸡中检测到AA、AB、BB 3种基因型,A等位基因频率为0.613,B等位基因的频率为0.387;IGFBP-1基因外显子2序列的21 bp处有A→T的点突变,104 bp处有T→C的突变,在京海黄鸡中检测到CC、CD和DD 3种基因型,C等位基因频率为0.558,D等位基因频率为0.442.IGF-Ⅰ基因BB基因型个体4周龄体质量显著高于AA和AB型个体(P＜0.05);IGFBP-1基因DD基因型个体8周龄体质量显著高于CC基因型个体(P＜0.05),4、12和16周龄体质量差异极显著(P＜0.01).因此,推测这些SNPs对京海黄鸡生长性状具有一定的影响,应用于鸡育种过程中的标记辅助选择可以加快育种进程.     

安卡鸡Mx基因A2032G变异位点对经济性状的效应分析

采用错配PCR-RFLP对安卡鸡Mx基因2032位点多态性进行检测,结果表明,安卡鸡Mx基因2032位点经Rsa Ⅰ酶切后,检测到AA、AG和GG 3种基因型,基因型频率分别为0.232、0.681和0.087,抗性等位基因A的频率为0.572.X<'2>适合性检验结果表明,安卡鸡Mx基因在Rsa Ⅰ酶切位点上等位基因的分布显著偏离Hardy-Weinberg平衡状态.分析这3种基因型与安卡鸡一些经济性状间的关联性,结果表明,抗性纯合子AA基因型的个体各阶段体重、体尺、主要屠宰性状及常规肉质与AG和GG基因型的个体差异不显著,安卡鸡Mx基因2032位点对重要经济性状没有显著的负效应.     

安卡鸡Mx基因A2032G变异位点对经济性状的效应分析

采用错配PCR-RFLP对安卡鸡Mx基因2032位点多态性进行检测,结果表明,安卡鸡Mx基因2032位点经RsaⅠ酶切后,检测到AA、AG和GG 3种基因型,基因型频率分别为0.232、0.681和0.087,抗性等位基因A的频率为0.572。χ2适合性检验结果表明,安卡鸡Mx基因在RsaⅠ酶切位点上等位基因的分布显著偏离Hardy-Weinberg平衡状态。分析这3种基因型与安卡鸡一些经济性状间的关联性,结果表明,抗性纯合子AA基因型的个体各阶段体重、体尺、主要屠宰性状及常规肉质与AG和GG基因型的个体差异不显著,安卡鸡Mx基因2032位点对重要经济性状没有显著的负效应。     

GNRHR、IGF-1基因对文昌鸡繁殖性状的遗传效应分析

以控制文昌鸡繁殖性状的促性腺激素释放激素受体基因（GNRHR）和胰岛素样生长因子-1基因（IGF-1）为候选基因，采用PCR—RFLP技术检测GNRHR基因和IGF-1基因在文昌鸡中的单核苷酸多态性（SNP），同时对这2个基因与文昌鸡繁殖性状的相关性进行了研究。结果表明，GNRHR基因内含子1的537bp位置有C→T碱基的变异，在文昌鸡中检测到AA、Aa、aa3种基因型，A等位基因的频率为0．69，a等位基因的频率为0．31；在IGF-1基因5′非翻译区（5′UTR）发现C→T碱基的变异，改变了限制性内切酶PstⅠ识别位点，经PCR-RFLP分析，在文昌鸡中检测到BB、Bb、bb3种基因型，B等位基因的频率为0．53，b等位基因的频率为0．47。对其基因型与所检测个体相应的繁殖性状采用GLM分析进行遗传效应研究，结果表明，GNRHR基因对300日龄产蛋数、400日龄产蛋数有显著影响（显性作用），IGF-1基因对300日龄产蛋数有显著影响（加性作用）。因此，推测GNRHR基因和IGF-1基因可能是影响鸡繁殖性状的主效基因或与主效基因紧密连锁的标记基因，并且能够在分子标记辅助选择中用于对鸡繁殖性状的遗传改良和固定。     

如皋鸡Mx基因2032位点多态性与经济性状的关联分析

采用错配PCR-RFLP对如皋鸡Mx基因2032位点多态性进行检测,结果如皋鸡Mx基因2032位点经RsaⅠ酶切后,检测到AA、AG和GG3种基因型,基因型频率分别为0.161、0.678和0.161,抗性等位基因A的频率为0.500。χ2适合性检验表明,如皋鸡Mx基因在RsaⅠ酶切位点上等位基因的分布显著偏离Hardy-Weinberg平衡状态。分析这3种基因型与如皋鸡一些经济性状间的关联性,结果表明:抗性纯合子AA基因型的个体各阶段体重、体尺以及主要屠宰性状均小于AG和GG基因型的个体,但是除了体斜长和胫围外,AA基因型个体的重要经济性状包括常规肉质与AG和GG基因型的个体差异不显著。     

4个猪繁殖性状候选基因对大白猪产活仔数的影响

为研究猪繁殖性状候选主效基因的遗传效应并应用于猪的繁殖性状改良,实验选择472头大白能繁母猪作为基础群,检测4个控制猪繁殖性状的候选主效基因ESR、FSHβ、PRLR和RBP4在该群体的多态性分布及其对产活仔数的影响.结果表明:除RBP4基因为AA纯合子外,ESR、PSHIS、PRLR 3个基因均存在不同程度的多态,并...     

Genetic characterization of the endangered Kiso horse using 31 microsatellite DNAs

In order to contribute to conservation of the endangered Kiso horse, we clarified their genetic information using 31 microsatellite DNAs, and genotyped 125 horses, 83% of the existing breed. First, we clarified the current status of the horses. The horses were confirmed to have experienced rapid loss of population causing a bottleneck, and their effective population size was much smaller than their census size. Moreover, the number of alleles (6.3), observed heterozygosity (0.674), and expected heterozygosity (0.662) were in the same range as other endangered horses all over the world. Therefore, although their inbreeding level was not so severe (F(is): -0.017), the Kiso horse is surely one of the endangered. Second, we obtained genetic information of individuals. This information allowed us to understand the genetic distance of individuals, and might help in development of a reproductive strategy concerning the genetic distance between the mating pairs. Moreover, there appeared to be 4 subpopulations of Kiso horse, and this result was in good agreement with their historical background. Third, we confirmed that the parentage test for identification using the 31 microsatellite DNAs was highly reliable (probability of exclusion: 0.999999993). This identification increases the reliability of stud certification, and is also helpful for effective management. Understanding the genetic diversity within the population and the relationships among individuals is important to ensuring effective management for maintenance of genetic variation, and this study may help in conservation of the endangered Kiso horse.     

不同群体规模下闭锁群体遗传漂变的模拟

为了研究在施行随机留种、随机交配、世代不重叠、群体间个体无迁移、整个保种过程中基因不发生突变的原位保种群体中遗传漂变的变化情况,试验采用计算机模拟方法针对不同群体规模下闭锁群体基因频率、基因型频率在50个世代中的变化进行研究。结果表明:群体规模越大,基因频率、基因型频率在世代间波动的幅度越小,因此世代间随机遗传漂变基因被固定或丢失的概率越小。     

Imputation from SNP chip to sequence: a case study in a Chinese indigenous chicken population

Background: Genome-wide association studies and genomic predictions are thought to be optimized by using whole-genome sequence(WGS) data. However, sequencing thousands of individuals of interest is expensive.Imputation from SNP panels to WGS data is an attractive and less expensive approach to obtain WGS data. The aims of this study were to investigate the accuracy of imputation and to provide insight into the design and execution of genotype imputation.Results: We genotyped 450 chickens with a 600 K SNP array, and sequenced 24 key individuals by whole genome re-sequencing. Accuracy of imputation from putative 60 K and 600 K array data to WGS data was 0.620 and 0.812 for Beagle, and 0.810 and 0.914 for FImpute, respectively. By increasing the sequencing cost from 24 X to 144 X, the imputation accuracy increased from 0.525 to 0.698 for Beagle and from 0.654 to 0.823 for FImpute. With fixed sequence depth(12 X), increasing the number of sequenced animals from 1 to 24, improved accuracy from 0.421 to0.897 for FImpute and from 0.396 to 0.777 for Beagle. Using optimally selected key individuals resulted in a higher imputation accuracy compared with using randomly selected individuals as a reference population for resequencing. With fixed reference population size(24), imputation accuracy increased from 0.654 to 0.875 for FImpute and from 0.512 to 0.762 for Beagle as the sequencing depth increased from 1 X to 12 X. With a given total cost of genotyping, accuracy increased with the size of the reference population for FImpute, but the pattern was not valid for Beagle, which showed the highest accuracy at six fold coverage for the scenarios used in this study.Conclusions: In conclusion, we comprehensively investigated the impacts of several key factors on genotype imputation. Generally, increasing sequencing cost gave a higher imputation accuracy. But with a fixed sequencing cost, the optimal imputation enhance the performance of WGP and GWAS. An optimal imputation strategy should take size of reference population, imputation algorithms, marker density, and population structure of the target population and methods to select key individuals into consideration comprehensively. This work sheds additional light on how to design and execute genotype imputation for livestock populations.     

猪表皮生长因子基因的遗传变异及其与产仔性状的相关性分析

本研究通过建立两次PCR扩增分型法,分析猪表皮生长因子(epidermal growth factor,EGF)基因第3内含子上的875bp插入片段在13个中外不同繁殖性能的猪种中的遗传变异,以及EGF基因在白色杜洛克×二花脸资源家系180头F2母猪中与繁殖性状的相关性。结果表明,不同类型中国地方猪种与西方商业猪种在EGF基因位点上存在偏态分布。在资源家系中该位点对总产仔数、产活仔数和断奶活仔数无显著影响(P0.05);尽管BB基因型的产活仔数和断奶活仔数分别比AA型多1.74和0.46头,但BB型的个体太少,各基因型间的均值差异不显著(P0.05);虽然产活仔数的a值和d值分别达到0.87和1.24头,但该基因位点的加性效应和显性效应并不明显。因此,需要利用更多的SNP位点和更多样本进一步了解EGF基因与繁殖性状的关联性。     

样本量和性比对微卫星分析中群体遗传多样性指标的影响

以4个中国地方鸡品种遗传多样性的微卫星分析数据为例,分析样本量和性比对微卫星分析中群体遗传多样性指标的影响。结果表明:当样本量超过20后,期望杂合度值趋于稳定,样本量与期望杂合度无显著相关,而与平均等位基因数呈正相关,在微卫星分析中性比对群体遗传多样性指标不表现出显著影响;微卫星位点多态性的高低直接影响到检测所需的样本量,在使用平均等位基因数分析群体遗传多样性时,应该充分考虑样本量对检测结果的影响;期望杂合度受样本量变动的影响较小,可作为度量群体遗传多样性的一个最适参数,而且样本量以20～25较为适宜。     

苏太猪FUT1基因M307位点多态性及其对部分免疫指标的遗传效应分析

本研究旨在分析苏太猪抗F18大肠杆菌病育种基础群FUT1基因M307位点对部分免疫指标的遗传效应,为下一步苏太猪抗病育种工作提供一定的理论依据。采用PCR-RFLP方法对苏太猪抗F18大肠杆菌病育种基础群FUT1基因M307多态性进行分析,并探讨其与部分免疫指标的关系。结果表明,基础群中576个个体FUT1基因M307位点经Hin6Ⅰ酶切后,产生AA、AG和GG3种基因型,基因型频率分别为0.235、0.609和0.156,抗性基因A为优势等位基因,频率为0.540;群体显著偏离了Hardy-Weinberg平衡状态(P0.01)。AA基因型个体的血红蛋白(HGB)和白细胞计数(WTBC)显著高于AG和GG型个体(P0.05),AG和GG型个体间差异不显著(P0.05);AA基因型个体的异嗜性粒细胞与淋巴细胞比率(H/L值)显著低于AG和GG型个体(P0.05),AG和GG型个体间差异不显著(P0.05);AA基因型个体与AG和GG型个体间SRBC抗体滴度差异不显著(P0.05)。本试验结果初步说明苏太猪F18抗性型群体具有抗逆性强的优良特性,AA基因型不仅对仔猪断奶后水肿病和腹泻病具有抗性,而且具有较高的一般抗病力。     

参考群筛选方法及规模对基因型填充准确性的影响

为探究基于A矩阵期望遗传关系最大化（maximizing the expected genetic relationship for matrix A,RELA）、基于A矩阵目标群体遗传方差最小化（minimized the target population genetic variance for matrix A,MCA）、平均亲缘关系最大化（the highest mean kinship coefficients,KIN）、随机选择（random selection,RAN）、共同祖先筛选（common ancestor,CA）等不同参考群筛选方法及参考群规模对基因型填充准确性的影响。本研究使用矮小型黄羽肉鸡作为试验群体,采用鸡600K SNP芯片（Affymetrix Axion HD genotyping array）进行基因分型,测定435羽子代公鸡45、56、70、84、91日龄体重。利用Beagle软件将低密度SNP芯片填充为高密度SNP芯片数据,比较不同参考群筛选方法、参考群规模对基因型填充准确性的影响,以及填充芯片基因组预测准确性。结果表明,使用Beagle 4.0结合系谱信息进行填充效果最佳,其次为Beagle 4.0,而Beagle 5.1填充效果最差。使用MCA方法筛选参考群进行基因型填充准确性最高,使用RAN方法筛选参考群进行基因型填充准确性最低,MCA、RELA、CA 3种方法基因型填充准确性差别较小。相比其他方法,使用MCA方法筛选个体作为参考群将低密度SNP芯片填充至高密度SNP芯片进行基因组选择的预测准确性较高,与真实高密度SNP芯片的基因组预测准确性相差甚微。随着参考群规模增大,基因型填充准确性也随之增加,但增速逐渐下降,最后趋于平缓。综上所述,可以通过参考群筛选方法构建参考群以及控制参考群规模,以保证基因型填充和基因组预测准确性并节省成本,本研究为基因型填充在畜禽遗传育种中的应用提供技术参考。     

The impact of genomic relatedness between populations on the genomic estimated breeding values

In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population(RP).Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is important for improving the genomic predictive ability. In this study, we used 122 French bulls as test individuals. The genomic estimated breeding values(GEBVs) evaluated using French RP, America RP and Chinese RP were compared.The results showed that the GEBVs were in higher concordance using French RP and American RP compared with using Chinese population. The persistence analysis, kinship analysis and the principal component analysis(PCA) were performed for 270 French bulls, 270 American bulls and 270 Chinese bulls to interpret the results. All the analyses illustrated that the genetic relationship between French bulls and American bulls was closer compared with Chinese bulls. Another reason could be the size of RP in China was smaller than the other two RPs. In conclusion, using RP of a related population to predict GEBVs of the animals in a target population is feasible when these two populations have a close genetic relationship and the related population is large.     

Mitochondrial DNA T7719G in tRNA-Lys gene affects litter size in Small-tailed Han sheep

Background: In farm animals, mitochondrial DNA(mtDNA) effect on economic performance remains hot-topic for breeding and genetic selection. Here, 53 maternal lineages of Small-tailed Han sheep were used to investigate the association of mitochondrial DNA variations and the lambing litter size.Results: Sequence sweeping of the mitochondrial coding regions discovered 31 non-synonymous mutations, and the association study revealed that T7719G in mt DNA t RNA-Lys gene was associated with litter size(P 0.05),manifesting 0.29 lambs per litter between the G and T carriers. Furthermore, using the mixed linear model, we assayed the potential association of the ovine litter size and haplogroups and multiple-level mtDNA haplotypes,including general haplotypes, assembled haplotypes of electron transport chain contained sequences(H-ETC),mitochondrial respiratory complex contained sequences(H-MRC) and mitochondrial genes(H-gene, including polypeptide-coding genes, rRNA genes and tRNA genes). The strategy for assembled mitochondrial haplotypes was proposed for the first time in mtDNA association analyses on economic traits, although none of the significant relations could be concluded(P 0.05). In addition, the nuclear major gene BMPR1B was significantly correlated with litter size in the flock(P 0.05), however, did not interact with mtDNA T7719G mutation(P 0.05).Conclusions: Our results highlight mutations of ovine mitochondrial coding genes, suggesting T7719G in tRNA-Lys gene be a potentially useful marker for selection of sheep litter size.