金华猪3个繁殖性状主基因的分布及其效应的研究

采用PCR RFLP技术分析了金华猪 3个品系的雌激素受体基因 (ESR)、促卵泡素 β亚基基因 (FSHβ)、催乳素受体基因 (PRLR)在金华猪 3个品系中的分布情况 ,并采用SPSS程序分析了ESR、FSHβ和PRLR 3个基因对金华猪Ⅰ系母猪繁殖性状的影响。结果表明 :ESR基因的 3个基因型AA、AB、BB在金华猪Ⅰ系、Ⅱ系和Ⅲ系中的频率分别为 0 0 2 37(AA)、0 36 0 9(AB)、0 6 15 4 (BB) ,0 (AA)、0 5 333(AB)、0 4 6 6 7(BB)和 0 2 90 9(AA)、0 6 (AB)、0 10 91(BB) ;PRLR基因的 3个基因型AA、AB、BB在金华猪Ⅰ系、Ⅱ系和Ⅲ系的频率分别为 0 2 5 6 0 (AA)、0 392 9(AB)、0 35 12 (BB) ,0 2 (AA)、0 2 6 6 7(AB)、0 5 333(BB)和 0 12 73(AA)、0 4 90 9(AB)、0 3818(BB) ,而FSHβ基因仅在金华猪Ⅰ系中存在多态性 ,且有利基因B的频率很低 ,仅为 0 0 12 0。ESR基因对金华母猪经产胎次产活仔数、所有胎次的产活仔数和总产仔数影响显著 (P <0 0 5 ) ,对金华母猪经产胎次的总产仔数的影响接近显著 (P =0 0 6 1)。B基因对产活仔数的加性效应为经产胎次 0 70头 胎 ,所有胎次 0 6 6头 胎 ;对总产仔数的加性效应为经产胎次 0 90头 胎 ,所有胎次 0 84头 胎。PRLR基因对金华母猪的各项繁殖性状都没有显著影响 (P     

猪PRLR和RBP4基因多态性与产仔性能的关系

采用PCR-RFLP方法, 对莱芜黑猪、鲁莱黑猪、里岔黑猪、鲁烟白猪、新沂蒙黑猪5个山东地方/培育猪种和大约克夏、长白、杜洛克3个引进猪种共8个猪种323头繁殖母猪进行PRLR和RBP4基因的多态性检测, 并采用最小二乘法分析其对产仔数影响的遗传效应。结果表明: 两个基因位点在8个猪种的测定群体中均存在多态性, 但山东地方/培育猪种与引进猪种间在基因型频率上存在较大差异。PRLR和RBP4基因对产仔数性状有显著影响(P<0.05), AA均为优良基因型。对于PRLR基因, 山东地方/培育猪种内AA基因型母猪的总产仔数和活产仔数比BB基因型母猪平均多产1.03头和0.89头, 引进猪种中AA基因型母猪比BB基因型母猪平均多产分别为1.26头和1.11头。对于RBP4基因, 山东地方/培育猪种内AA基因型母猪的总产仔数和活产仔数比BB基因型母猪平均多产0.59头和0.51头, 引进猪种中AA基因型母猪比BB基因型母猪平均多产分别为0.72头和0.64头     

雌激素受体基因和长白猪繁殖性能相关研究

通过检测612头长白母猪共2 239窝ESR基因的PvuⅡ酶切多态性,分析了不同ESR基因型和长白母猪繁殖性状的相关,以确定ESR基因在猪育种应用的可能性.头胎母猪、第2胎母猪和3胎以上母猪的资料分开统计.群体中B等位基因的频率很低,但似然比检验结果显示群体的基因频率处于哈代-温伯格连锁平衡状态.第1胎BB基因型母猪的总产仔数显著高于AA型母猪(12.05±0.82 vs 10.19±0.24)(P＜0.05),但BB基因型母猪的初生仔猪重显著低于AA型母猪(1.23±0.07vs 1.42±0.02)(P＜0.05).第3胎以上资料合并,BB基因型母猪的总产仔数显著多于AA和AB基因型母猪(11.98±0.63 vs10.90±0.48/10.92±0.51)(P＜0.05),产活仔数显著高于AA型母猪(10.31±0.58 vs 9.43±0.45)(P＜0.05);AB基因型母猪初生仔猪重显著低于AA型母猪(1.44±0.04 vs 1.48±0.04)(P＜0.05).所有资料合并,BB基因型母猪的总产仔数极显著高于AB型母猪(11.63±0.52 VS 10.63±0.42)(P＜0.01),显著高于AA型母猪(11.63±0.52 vs 10.70±0.40)(P＜0.05);BB基因型母猪的产活仔数显著高于AB和AA基因型母猪(10.15±0.50 vs 9.33±0.39/9.41±0.41)(P＜0.05).其余情况下各基因型母猪间繁殖性状间差异不显著(P＞0.05).总之,BB基因型母猪的总产仔数和产活仔数优于其他基因型母猪,但仔猪初生重较低.ESR基因可以作为遗传标记,用于本群长白猪产仔数的选择.     

母猪生殖器官大小和产仔数的分子遗传基础

采用单核苷酸多态分析技术（SNP）分析母猪3个生殖激素受体基因（ESR、PRLR和FSHR）的变异,屠宰103头母猪并测定其生殖器官大小;统计母猪的产仔数;利用SAS或SPSS分析软件分析基因变异与母猪的生殖器官大小,产仔数多少的连锁关系,以探讨母猪生殖器官大小和产仔数多少的分子遗传基础,结果表明,如母猪携带的基因型为位点,ESR的BB型,位点FSHRB的BB型,位点ESRB的AA型,位点PRLR的AA型,则母猪的生殖器官较大,产仔数也较多;在位点ESRB或位点PRLR中,带有AA基因型母猪不仅产仔数显著地高于AB、BB型,而且生殖器官也显著大于AB、BB型;在位点ESR和FSHRB中,带有BB基因型母猪的生殖器官,产仔数显著高于带有AB或AA型母猪。     

从江香猪RARG基因多态性与繁殖性状关联分析

本实验目的是研究RARG基因SNP位点与从江香猪繁殖性状的相关性,寻找影响从江香猪繁殖性状的QTL,为分子标记辅助选择提供依据。本研究以从江香猪母猪为研究对象,利用DNA直接测序技术,筛选RARG基因SNP位点,并进行基因多样性、关联性和数量性状遗传分析研究。受试群体中,在RARG基因中发现3个SNP位点,其中A~(55)G、C~(1464)T位于intron7,C~(128)T位于exon8;关联分析发现,A~(55)G位点与初、经产母猪总产仔数、产活仔数及乳头数差异性均不显著(p0.05);C~(1464)T位点与经产母猪总产仔数、产活仔数及乳头数均呈显著性差异(p0.05),且CC基因型比CT、TT基因型多;对于C128T位点,AA基因型初产母猪的总产仔数、产活仔数及母猪乳头数均比AB、BB基因型多,且差异性均显著(p0.05);数量性状遗传分析发现,等位基因C对经产母猪总产仔数、产活仔数、乳头数的平均效应分别为0.56、0.59、0.29,CC基因型估计育种值分别为1.12、1.18、0.58;等位基因A对初产母猪总产仔数、产活仔数、乳头数的平均效应分别为0.61、0.60、0.33,AA基因型估计育种值分别为1.22、1.20、0.65。推测等位基因C和等位基因A可能为从江香猪总产仔数、产活仔数、乳头数的有利等位基因,且CC基因型和AA基因型为有利基因型。     

猪产仔数分子标记及其效应分析

初步确定了2个新的猪产仔数分子标记,雌激素受体基因ESR的第8外显子处的ESRB位点、催乳素受体基因的第7外显子的FSHRB位点。通过比较和分析多个产仔数的效应,初步确定了4个有利于产仔数提高的分子标记基因型,基因位点ESR、FSHRB的基因型BB的产仔数显著地高于AB、AA型;位点ESRB、PRLR的基因型AA的产仔数显著地高于AB、BB型;4个基因位点多态性与仔猪生长性能、母猪乳头数不存在显著的影响。     

MyoG基因对金华猪繁殖性状的影响

用PCR-RFLP方法对金华猪I系（109头）、II系（15头）、III系（25头）的MyoG基因的第二内含子内（PCR1- MspⅠ-RFLP）和3'-端（PCR2- MspⅠ-RFLP）位点进行了多态性分析。结果表明：PCR1- MspⅠ-RFLP位点有3种基因型（AA、AB、BB）,其基因型频率分别为0.1544,0.3826,0.4631;PCR2- MspⅠ-RFLP位点只有2种基因型（MM、MN）,其基因型频率分别为0.9953和0.0047。采用SPSS程序分析MyoG基因对金华猪繁殖性状的影响。结果表明：MyoG基因对金华母猪初胎的总产仔数、二胎的产活仔数影响显著（P<0.05）,而对其他胎次组合的总产仔数、产活仔数以及初生窝重没有显著影响（P<0.05）。     

猪PRLR基因PCR—SSCP多态性与产仔性能的关联分析

采用PCR-SSCP技术分析了杜洛克猪、长白猪、大白猪、马身猪、山西黑猪和山西白猪等6个品种472个个体催乳素受体基因(PRLR)的多态性,检测到A、B、C 3个等位基因和AA、AB、AC、BB、CC 5种基因型.在马身猪中, B等位基因为优势基因,频率为0.55;其他品种中,优势基因为A等位基因,频率分布在0.79～0.89之间;C等位基因除在大白猪频率略高外(0.20),在其他品种中频率都很低,在0～0.09之间.对AA、BB、CC三种纯合子进行克隆测序和同源序列比较,发现在扩增片段内有6处SNP,都发生在PRLR基因的第8内含子,分别是内含子8第26位、54位和99位的C→T突变,47位和68位的A→G突变,63位的G→A突变.利用最小二乘分析研究了PRLR基因型对母猪头胎总产仔数和产活仔数的影响,结果表明PRLR基因不同基因型母猪的头胎总产仔数和产活仔数差异均不显著.     

北京黑猪FSHβ亚基基因的多态性与繁殖性状的关联分析

本研究以北京黑猪为研究对象,以FSHβ亚基基因为产仔性状的候选基因,分别采用PCR产物直接电泳和PCR-RFLP方法来检测FSHβ亚基基因2个位点的多态性.结合测序发现:FSHβ-1位点上,北京黑猪BB型的134与135 bp(D00621序列的6473与6474bp)之间插入273 bp的片段而产生多态,序列分析表明该插入片段为一典型的逆转座子,在插入片段中还发现了一个RNA聚合酶Ⅲ内部启动子;FSHβ-2位点上,由于扩增片段173 bp处存在C→T的突变,使得HaeⅢ酶切位点消失而产生多态;2个位点的A、B等位基因在北京黑猪群体中都有分布,且处于低度多态.x2适合性检验结果表明,该群体在这2个位点的突变都达到Hardy-Weinberg平衡状态(P＞0.05).用SAS 8.2软件最小二乘法拟合线性模型,将基因座不同基因型与繁殖性状总产仔数(TNB)、产活仔数(NBA)和出生重(WB)进行了关联分析,结果表明:就初产母猪而言,FSHβ-1位点上,AA型比AB和BB型个体的TNB分别多0.96头和1.85头(P＜0.05),AA和AB型比BB型个体的NBA分别多0.95头和1.69头(P＜0.05).FSHβ-2位点上,AA型比AB型和BB型个体的TNB分别多1.57头和2.15头(P＜0.05);AA和AB型比BB型个体的NBA分别多1.00头和0.94头(P＜0.05);就经产母猪而言,FSHβ-2位点上,AA型个体的WB比BB型的WB重0.25 kg(P＜0.05).全部群体的FSHβ-1位点的A等位基因和初产母猪FSHβ-2位点的A等位基因对TNB、NBA和WB表现为正效应.     

猪雌激素受体基因（ESR）点突变的PCR－SSCP检测

雌激素受体基因(ESR)是控制猪高产仔数的主效基因之一,具有明显的基因效应:BB型比AA型母猪胎总产仔数和产活仔数分别高出1.40～3.37和0.63～3.58头,是目前商品猪育种和生产中重点检测的主要基因之一。常规采用PCR－RFLPs方法区分该基因由点突变造成的3种不同的基因型。本研究建立1种基于PCR的SSCP(single－stranded conformation polymorphism)方法对猪ESR该位置的点突变进行检测,具有操作简便、灵敏度高和不需要酶切等优点,可以在育种实践中广泛应用。 Abstract:ESR is a major gene controlling litter size in swine.The sows of BB genotype produce 1.40～3.37 more piglets of the total number born and 1.07～2.40 piglets of the number born alive respectively comparing with those of AA genotype.ESR has been one of the widely detected genes in pig breeding and production.Usually the point mutation of ESR gene was detected by PCR-RFLP approach.The present study established a novel method based on PCR-SSCP,with the advantage of easy maniputation,high sensitivity and no necessity for restriction enzyme digestion.This method may be applied for commercial detection of the point mutation of ESR gene in swine breeding.     

Litter size and piglet traits of gilts with different prolactin receptor genotypes

Seventy-seven Large White x Meishan F2 crossbred gilts with prolactin receptor (PRLR) genotype AA (n = 26), AB (n = 36) and BB (n = 15) were compared for teat number (FTm), age at first estrus, gestation length (GL), litter size, and litter means of functional teat number (FTp), birthweight (BW), and pre-weaning growth rate (GR). Own placental information was available for 88% of 620 live-born piglets (62 gilts), since placentae were labeled during farrowing. The effect of PRLR genotype of the mother on average placenta weight (PLW) and placenta efficiency (EFF = BW/PLW), was therefore, also analyzed, PRLR genotype significantly (P < 0.05) affected age at first estrus and, as a result (since the gilts were inseminated at a fixed estrus number), age and bodyweight at insemination. Furthermore, PRLR genotype affected total number of piglets born (TNB, P = 0.056) and number of piglets born alive (NBA, P = 0.072), but it did not affect (P > 0.3) GL, BW or GR, neither before nor after correction for litter size. BB gilts were significantly younger at first estrus and younger and lighter at insemination than AA gilts (P < 0.05). AA gilts had larger TNB (P = 0.047) and tended to have a larger NBA (P = 0.062) than BB gilts. TNB was 11.4 +/- 0.7, 10.8 +/- 0.6, and 8.8 +/- 0.9; NBA was 11.1 +/- 0.6, 10.5 +/- 0.6, and 8.7 +/- 0.9; BW was 1309 +/- 40, 1277 +/- 34, and 1290 +/- 53 g; and GL was 113.6 +/- 0.3, 113.8 +/- 0.3, and 113.5 +/- 0.4 days for AA, AB and BB gilts, respectively. The effects on litter size and age at first estrus are independent effects. PRLR affected PLW (P = 0.050) and EFF (P = 0.066), resulting in a difference between AA and BB gilts. PLW was 160 +/- 9, 181 +/- 7 and 196 +/- 11 g and EFF was 7.6 +/- 0.2, 7.3 +/- 0.2 and 6.7 +/- 0.3 for AA (n = 19), AB (n = 29) and BB (n = 14) gilts, respectively. After correction for TNB, the differences disappeared. Functional teat number of the AA. AB and BB gilts was 15.35 +/- 0.22, 15.53 +/- 0.18, and 15.60 +/- 0.29, respectively, and was not affected by PRLR genotype (P = 0.7). Functional teat number of piglets from AA, AB and BB mothers was 14.20 +/- 0.10, 14.37 +/- 0.08, and 14.63 +/- 0.13, respectively. Piglets from BB mothers had on average larger numbers of functional teats compared to piglets from AA mothers (P = 0.028). In conclusion, PRLR gene is a major gene or marker for age at first estrus, litter size, and litter average of number of functional teats in the Large White x Meishan F2 crossbred gilts studied. The favorable allele for litter size (A allele) is the unfavorable allele for age at first estrus and for litter mean of functional teat number.     

Effect of polymorphism in the peroxisome proliferator-activated receptor gamma gene on litter size of pigs

The association of polymorphisms in peroxisome proliferator-activated receptor γ (PPARγ) gene with litter size was studied in Large White and Landrace pig. Three SNP loci (P1, P2 and P7) on PPARγ₂ gene were determined by PCR–SSCP and the results showed that there were A → G mutations at 220 and 324 bp in 5′-regulator region and at 147 bp in exon 6, respectively. Allele frequencies were analysed in two breeds. Information on 2341 litter records from 564 sows was used to analyse the trait total number born (TNB) and number born alive (NBA). In Large White, TNB and NBA of genotype BB for P2 locus were the lowest, and the TNB and NBA of third and following parities and all parities were 0.74 and 0.51 piglets per litter less (P < 0.001) than those of the highest genotype AB, respectively, but for P1 and P7 locus the beneficial genotype AA were more 0.4–0.8 piglets per litter (P < 0.05) than the inferior genotype AB. In landrace, TNB and NBA of the first parity of genotype BB for P1 locus were 2.0 piglets per litter higher than AA (P < 0.05), but for all parities the TNB and NBA of genotype BB were 0.66 and 0.97 piglets per litter (P < 0.05) higher than AA, respectively. At P2 locus, the TNB and NBA of the second parity of genotype AA were obviously higher than those of AB (P < 0.05). And at P7 locus, the TNB and NBA of each parity of genotype AA were both about 2 piglets per litter more than those of BB (P < 0.05). The results indicated that PPARγ gene was significantly associated with litter size in pigs.     

Effect of VNTR polymorphism of the Muc1 gene on litter size of pigs

An investigation was undertaken to study the association between the variable number of tandem repeats polymorphism of the Muc1 gene and the litter size in pigs. Four different alleles were found in three breeds. The sequence analysis shows that the repetitive region of pig Muc1 gene is an array of 108-bp repeats. A total of 2,430 litter records from 897 sows genotyped at Muc1 gene were used to analyze the total number born (TNB) and number born alive (NBA). The study of the effects on litter size suggests that TNB and NBA of genotype AA are the highest in Large White, and the TNB and NBA of the third to ninth parities are 1.61 and 2.29 piglets per litter higher (P < 0.05) than those of the genotype DD, respectively. In Landrace, TNB and NBA of the genotype AA are 1.68 (P < 0.01) and 1.58 (P < 0.05) piglets per litter higher than those of the BB genotype in the third to ninth parities, but for all parities the TNB of genotype AA were 0.76 piglets per litter (P < 0.05) higher than BB. In Duroc, the TNB and NBA of genotype AA are about 1.5 piglets per litter more than those of DD in the third to ninth parities, though not significantly. The research suggests that the smaller allele tends to have higher litter size. The results indicate that Muc1 gene is significantly associated with litter size in pigs.     

Association of BF,RBP4, and ESR2 Genotypes with Litter Size in an Autochthonous Pig Population

The aim of the present study was to determine any potential association of the BF, RBP4, and ESR2 genes with reproduction traits in an autochthonous Greek pig population. The PCR-RFLP methodology was implemented for genotyping purposes of the examined genes. No deviation from the Hardy-Weinberg equilibrium was observed for the examined loci, while the B allele noted to be the more frequent in all analyzed genes. In addition, sows with the AA genotype of BF gene found to produce significantly lower numbers of the total born piglets (TNB) and number of piglets born alive (TNA), while the respective BB genotype significantly exceeded in TNB and NBA traits compared to the other two genotypes (P?Abbreviations: TNB: Total number of born piglets; NBA: Number of piglets born alive     

猪整合素β1基因CRS-PCR多态性与产仔数的关联性分析

文章采用CRS-RFLP技术对长白猪、大白猪和杜洛克猪3个品种的整合素β1基因第5外显子T32207C位点及第7外显子A35230G位点进行单核苷酸多态性分析,并将基因多态性与猪的产仔数进行关联分析。结果表明:32207多态位点的基因型效应对3个品种的总产仔数(TNB)和产活仔数(NBA)影响均不显著;35230多态位点的基因型效应对大白猪和长白猪头胎、二胎及所有胎次的TNB和NBA的影响达到显著(P<0.05)或者极显著水平(P<0.01),基因型GG、AG与AA对产仔数的影响存在差异,其效应为GG,AG>AA。可见整合素β1基因35230位点的G等位基因对大白猪和长白猪的产仔数性状有显著影响。     

北京黑猪FSHb 亚基基因的多态性与繁殖性状的关联分析

本研究以北京黑猪为研究对象, 以FSHb 亚基基因为产仔性状的候选基因, 分别采用PCR产物直接电泳和PCR-RFLP方法来检测FSHβ亚基基因2个位点的多态性。结合测序发现: FSHb-1位点上, 北京黑猪BB型的134与135 bp (D00621序列的6 473与6 474 bp) 之间插入273 bp的片段而产生多态, 序列分析表明该插入片段为一典型的逆转座子, 在插入片段中还发现了一个RNA 聚合酶Ⅲ内部启动子; FSHb-2位点上, 由于扩增片段173 bp处存在C→T的突变, 使得HaeⅢ酶切位点消失而产生多态; 2个位点的A、B等位基因在北京黑猪群体中都有分布, 且处于低度多态。χ2适合性检验结果表明, 该群体在这2个位点的突变都达到Hardy-Weinberg平衡状态 (P>0.05)。用SAS 8.2 软件最小二乘法拟合线性模型, 将基因座不同基因型与繁殖性状总产仔数 (TNB)、产活仔数 (NBA) 和出生重 (WB) 进行了关联分析, 结果表明: 就初产母猪而言, FSHb-1位点上, AA型比AB和BB型个体的TNB分别多0.96头和1.85头 (P＜0.05), AA和AB型比BB型个体的NBA分别多0.95头和1.69头(P＜0.05)。FSHb-2位点上, AA型比AB型和BB型个体的TNB分别多1.57头和2.15头 (P＜0.05); AA和AB型比BB型个体的NBA分别多1.00头和0.94头 (P＜0.05); 就经产母猪而言, FSHb-2位点上, AA型个体的WB比BB型的WB重0.25 kg (P＜0.05)。全部群体的FSHb-1位点的A等位基因和初产母猪FSHb-2位点的A等位基因对TNB、NBA和WB表现为正效应。     

Use of meta-analysis to combine candidate gene association studies: application to study the relationship between the ESR PvuII polymorphism and sow litter size

This article investigates the application of meta-analysis on livestock candidate gene effects. The PvuII polymorphism of the ESR gene is used as an example. The association among ESR PvuII alleles with the number of piglets born alive and total born in the first (NBA1, TNB1) and later parities (NBA, TNB) is reviewed by conducting a meta-analysis of 15 published studies including 9329 sows. Under a fixed effects model, litter size values were significantly lower in the "AA" genotype groups when compared with "AB" and "BB" homozygotes. Under the random effects model, the results were similar although differences between "AA" and "AB" genotype groups were not clearly significant for NBA and TNB. Nevertheless, the most noticeable result was the high and significant heterogeneity estimated among studies. This heterogeneity could be assigned to error sampling, genotype by environment interaction, linkage or epistasis, as referred to in the literature, but also to the hypothesis of population admixture/stratification. It is concluded that meta-analysis can be considered as a helpful analytical tool to synthesise and discuss livestock candidate gene effects. The main difficulty found was the insufficient information on the standard errors of the estimated genotype effects in several publications. Consequently, the convenience of publishing the standard errors or the concrete P-values instead of the test significance level should be recommended to guarantee the quality of candidate gene effect meta-analyses.