猪CAST基因的遗传多态性及遗传效应分析

采用PCR—SSCP方法对猪cAST基因遗传多态性进行分析。并研究基因型与肉质性状和背膘厚的相关性。根据猪CAST基因的cDNA序列（M20160）设计7对引物。结果在F1／R1。F6／R6引物对扩增的片段上发现了多态性。并对纯合子进行测序。发现317位A—G突变。2042位G—C突变。基因型在不同猪种分布的多重比较结果表明。长白猪、大白猪和杜洛克猪与沂蒙黑猪和莱芜猪比较差异极显著（P〈0．01）。固定效应模型分析结果表明,嫩度及背膘厚基因型间差异显著（P〈0．05）,而pH值、温度及滴水损失基因型间差异不显著（P〉0．05）。最小二乘分析结果表明,不同猪种比较,屠宰12h和24h后肌肉温度、30min和1h后pH值及滴水损失差异显著（P〈0．05）;BBCC和BBDD单元型个体与其他单元型个体比较肌肉嫩度的差异显著（P〈0．01）。AACC和AADD单元型个体与其他单元型个体比较背膘厚的差异显著（P〈0．01）。因此,推测CAST基因对猪肉品质及背膘厚存在一定的影响。将CAST基因应用于猪育种过程中的标记辅助选择将可以改善猪肉品质。加快猪的育种进程。     

猪IGF2基因外显子4b的遗传多态性及其遗传效应

采用PCR-SSCP方法检测猪胰岛素样生长因子2(insulin-like growth factor 2,IGF2)基因外显子4b的多态性,并分析其对初生重、断奶重、6月龄重和背膘厚的遗传效应。根据猪IGF2基因的DNA序列(AY044828)设计引物,在exon4b上发现了一个多态性位点,并对纯合子进行测序,发现13位C→A转换,且存在3种基因型(AA、AB、BB)。统计结果表明,3种基因型在各品种中的分布不一致,长白猪与大白猪比较,莱芜猪与大薄莲猪比较,沂蒙黑猪和里岔黑猪比较差异不显著(P>0.05);其他猪种间基因型分布的差异均显著(P<0.05)。固定效应模型分析结果表明,初生重,断奶重和背膘厚基因型间差异显著(P<0.05),而6月龄重基因型间差异不显著(P>0.05)。最小二乘分析结果表明,BB基因型个体同AA和AB、基因型个体比较初生重和断奶重的差异显著(P<0.05),3种基因型在初生重和断奶重的大小排列顺序为AA>AB>BB;AA基因型个体同AB和BB基因型个体比较背膘厚的差异显著(P<0.05),3种基因型在背膘厚的大小排列顺序为BB>AB>AA。因此,推测IGF2基因对个体的生长速度和胴体瘦肉率存在一定的影响,将IGF2基因应用于猪育种过程中的标记辅助选择可以加快猪的育种进程。     

猪IGF-I基因的一个遗传多态性及其遗传效应分析

采用PCR-SSCP方法对长白猪（87头）、大白猪（79头）和马身猪（102头）的胰岛素样生长因子-I（IGF-I）基因exon3和exon4分别进行单核苷酸多态性分析。发现exon3上有多态性,且存在3种基因型（AA、AB、BB）。统计结果表明,3种基因型在各品种中的分布不一致,多重比较差异极显著（P<0.01）。固定效应模型分析结果表明,背膘厚基因型间差异显著（P<0.05）,而初生重、断奶重和6月龄重基因型间差异不显著（P>0.05）。最小二乘分析结果表明,BB基因型与其它2种基因型比较有较大的初生重,同AA和AB型比较差异极显著（P<0.01）,3种基因型在初生重的大小排列顺序为AA相似文献   

猪IGF2基因的遗传多态性及其遗传效应分析

采用PCR-SSCP方法检测胰岛素样生长因子2 (insulin-like growth factor 2, IGF2)基因外显子7, 8, 9的多态性, 并分析其对初生重、断奶重、6月龄重和6月龄背膘厚的遗传效应。根据猪IGF2基因的DNA序列(AY044828)设计3对引物, 结果在Ex8引物对扩增的片段上发现了多态性, 并对纯合子进行测序, 发现exon8的53位存在C→T转换, 且检测到3种基因型(AA、AB、BB)。统计结果表明, 3种基因型在各品种中的分布不一致, 长白猪与大白猪比较, 莱芜猪与大薄莲猪比较, 沂蒙黑猪和里岔黑猪比较差异不显著(P > 0.05); 其他猪种间基因型分布的差异均显著(P < 0.01)。固定效应模型分析结果表明, 初生重和6月龄背膘厚基因型间差异显著(P < 0.05), 而断奶重和6月龄重基因型间差异不显著(P > 0.05)。最小二乘分析结果表明, BB基因型个体同AA和AB基因型个体比较初生重的差异显著(P < 0.05), 3种基因型在初生重的大小排列顺序为AB > AA > BB; AA基因型个体同AB和BB基因型个体比较6月龄背膘厚的差异显著(P < 0.05), 3种基因型在6月龄背膘厚的大小排列顺序为BB > AB > AA。因此, 推测IGF2基因对个体的初生重和胴体瘦肉率存在一定的影响, 将IGF2基因应用于猪育种过程中的标记辅助选择可以加快猪的育种进程。     

猪IGF-Ⅰ基因的一个遗传多态性及其遗传效应分析

采用PCR-SSCP方法对长白猪(87头)、大白猪(79头)和马身猪(102头)的胰岛素样生长因子-Ⅰ(IGF-Ⅰ)基因外显子3和外显子4分别进行单核苷酸多态性分析.发现外显子3上有多态性,且存在3种基因型(AA、AB、BB).统计结果表明,3种基因型在各品种中的分布不一致,多重比较差异极显著(P＜0.01).固定效应模型分析结果表明,背膘厚基因型间差异显著(P＜0.05),而初生重、断奶重和6月龄重基因型间差异不显著(P＞0.05).最小二乘分析结果表明,BB基因型与其它2种基因型比较有较大的初生重,同AA和AB型比较差异极显著(P＜0.01),3种基因型在初生重的大小排列顺序为AA＜AB＜BB;BB基因型与AA基因型比较有较小的背膘厚,且差异极显著(P＜0.01).因此,推测IGF-Ⅰ基因对个体的初生重和胴体瘦肉率存在一定的影响.选择带有B等位基因的个体,有望提高个体的初生重和胴体的瘦肉率.     

猪MyoG基因内含子1的一个遗传多态性及其遗传效应分析

以长白猪(73),大白猪(68),沂蒙黑猪(57)和莱芜猪(83)为研究对象,采用PCR-SSCP方法 对猪MyoG基因遗传多态性进行分析,并研究基因型与初生重、日增重、肌肉嫩度和背膘厚的相关性.根据猪MyoG 基因的DNA序列（M14331）设计引物,结果在内含子1扩增的片段上发现了一个多态性,检测到2个等位基因(A、B),3种基因型（AA、AB、BB）,并对纯合子进行测序,发现2　943位G→C突变.基因型在不同猪种分布的多重比较,结果表明,大白猪与长白猪、沂蒙黑猪和莱芜猪比较差异显著（P<0.05）,莱芜猪与长白猪和沂蒙黑猪比较差异显著（P<0.05）,长白猪与沂蒙黑猪比较差异不显著（P>0.05）.固定效应模型分析结果表明,初生重及嫩度基因型间差异显著（P<0.01）,而日增重及背膘厚基因型间差异不显著（P>0.05）.最小二乘分析结果表明,BB基因型个体与AA基因型个体比较肌肉嫩度的差异显著（P<0.05）,AA基因型个体与AB和BB基因型个体比较背膘厚的差异显著（P<0.05）.因此,推测MyoG基因对猪肉品质、生长速度及背膘厚存在一定的影响,将 MyoG基因应用于猪育种过程中的标记辅助选择将可以改善猪肉品质,提高生长速度,加快猪的育种进程.     

Myf-6基因在不同猪种中的PCR-RFLP遗传多态性及其遗传效应分析

作为生肌调节因子家族的一个成员,Myf-6基因在肌形成的过程中发挥着重要的作用。实验采用PCR-RFLP技术分析了Myf-6基因在12个中外猪种及部分杂交群体中的分布情况,并分析了Myf-6基因对肌纤维、胴体品质、胴体等级性状和肉质性状的遗传效应。结果表明：Myf-6基因内含子1内的Ava I酶切位点多态性不丰富,多数中国地方猪种群体中A等位基因已经完全固定,B等位基因仅以较低的频率存在于外种猪或含外种猪血缘的杂交群体中。尽管没有检测到BB纯合个体,但AB杂合子的平均瘦肉率为50.344 %,极显著地高于AA纯合子的45.875 %(P<0.01)。AB杂合子的眼肌面积为27.097 cm2,极显著地大于AA纯合子的22.572 cm2(P<0.01)。AB杂合子的皮脂率（39.889 %）极显著地低于AA纯合子（44.503 %）(P<0.01)。上述结果说明本次试验群体中的B等位基因具有增加胴体瘦肉率和眼肌面积,降低胴体脂肪含量从而改善胴体品质的遗传效应。此外,Myf-6基因对肌纤维生长性状、FOM肉脂仪测定的胴体等级性状以及肉质性状等都没有显著影响(P>0.05)。     

猪UCP3基因部分编码区序列分析及其单核苷酸多态与胴体、肉质性状的遗传效应

以猪解耦联蛋白基因 3(UCP3)作为控制猪胴体与肉质性状主基因的候选基因。利用直接测序法对 4个品种猪骨骼肌中UCP3基因的部分编码区序列 (第 4外显子部分及第 5、6、7外显子全部片段 )进行比较分析 ,发现3个cSNP位点 ,其中ORF中第 84 2碱基的突变可导致相应编码氨基酸序列的改变 :甲硫氨酸→苏氨酸 ,选取此位点作为猪UCP3基因的多态位点。用PCR SSCP检测方法在 3个品种猪中进行该cSNP位点多态性片段的基因型分型 ,结果显示在 3个猪群中表现出 3种基因型 (AA、AB、BB) ,χ2 独立性检验结果表明 3种基因型在各品种间分布不一致 ,梅山猪同大白、长白猪分别比较差异极显著 (P <0 0 1) ;对大白×梅山资源家系F2 代 139头个体进行了该多态片段的基因型鉴定 ,并对其基因型与所检测个体相应的胴体、肉质性状采用GLM分析进行遗传效应研究 ,结果表明 :该基因对一些胴体、肉质性状有显著性影响 ,并且该基因以加性效应为主 (如 ,眼肌高度、背最长肌色值、系水力的加性效应都达显著水平 )。因此 ,推测UCP3基因可能是影响猪胴体及肉质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猪胴体、肉质性状的遗传改良及固定     

猪IGF2基因外显子3的遗传多态性及遗传效应分析

采用PCR-SSCP方法检测猪胰岛素样生长因子2 (insulin-like growth factor 2,IGF2)基因外显子3多态性,分析其对初生重、断奶重、6月龄重和背膘厚的遗传效应.根据猪IGF2基因的DNA序列（AY044828）设计引物,结果在其扩增片段上检测到多态性,对纯合子进行测序,发现IGF2-ex3-A36T和IGF2-ex3-G109A两个多态性位点,并且这2个多态性位点完全连锁,检测到3种基因型（A36A/G109G,A36T/G109A 和 T36T/A109A）.统计结果表明,基因型在各品种中分布不一致,长白猪和大白猪与莱芜猪、大薄莲猪、沂蒙黑猪和里岔黑猪比较基因型分布差异极显著（Ｐ<0.01）;其它猪种间基因型分布差异均不显著（Ｐ>0.05）.固定效应模型分析结果表明,初生重和背膘厚基因型间差异显著（Ｐ<0.05）,而断奶重和6月龄重基因型间差异不显著（Ｐ>0.05）.最小二乘分析结果表明,A36A/G109G基因型个体同A36T/G109A和 T36T/A109A基因型个体比较初生重和背膘厚的差异显著（Ｐ<0.05）,3种基因型初生重的大小排列顺序为A36A/G109G < A36T/G109A < T36T/A109A,背膘厚的大小排列顺序为A36A/G109G > A36T/G109A >T36T/A109A.因此,推测IGF2基因对个体的初生重和胴体瘦肉率存在一定的影响,将IGF2基因应用于猪育种过程中的标记辅助选择,将可以改善猪肉品质,加快猪的育种进程.     

猪IGF2基因外显子3的遗传多态性及遗传效应分析

采用PCR-SSCP方法检测猪胰岛素样生长因子2(insulin-like growth factor 2,IGF2)基因外显子3多态性,分析其对初生重、断奶重、6月龄重和背膘厚的遗传效应,根据猪IGF2基因的DNA序列(AY044828)设计引物,结果在其扩增片段上检测到多态性,对纯合子进行测序,发现1GF2-ex3-A36T和IGF2-ex3-G109A两个多态性位点,并且这2个多态性位点完全连锁,检测到3种基因型(A36A/G109G.A36T/G109A和T36T/A109A),统计结果表明,基因型在各品种中分布不一致,长白猪和大白猪与莱芜猪、大薄莲猪、沂蒙黑猪和里岔黑猪比较基因型分布差异极显著(P＜0.01);其它猪种间基因型分布差异均不显著(P＞0.05),固定效应模型分析结果表明,初生重和背膘厚基因型间差异显著(P＜0.05),而断奶重和6月龄重基因型间差异不显著(P＞0.05),最小二乘分析结果表明,A36A/G109G基因型个体同A36T/G109A和T36T/A109A基因型个体比较初生重和背膘厚的差异显著(P＜0.05),3种基因型初生重的大小排列顺序为A36A/G109G＜A36T/G109A＜T36T/A109A,背膘厚的大小排列顺序为A36A/G109G＞A36T/G109A＞T36T/A109A.因此,推测IGF2基因对个体的初生重和胴体瘦肉率存在一定的影响,将IGF2基因应用于猪育种过程中的标记辅助选择,将可以改善猪肉品质,加快猪的育种进程.     

丙酸通路基因多态性与猪肉质及胴体性状的关联分析

为了挖掘新的猪肉品质及胴体性状的候选基因,揭示猪肉质及胴体性状的遗传机制,文章将丙酸代谢通路作为候选通路,将通路内基因与猪肉质及胴体性状进行关联分析。实验采用37头三元杂交商品猪作为研究对象,首次针对丙酸通路中7个基因的36个SNP位点利用SNaPshot方法进行基因分型,分别用最小二乘模型及MB-MDR模型与肉质及胴体性状进行关联分析。结果发现,基因PCCB、MUT、MCEE及ACSS2上的4个SNP位点分别与肌内脂肪含量、背膘厚等性状显著相关(P<0.05),ACSS2与猪脂肪含量显著相关;MCEE及MUT与猪的背膘厚显著相关;PCCB基因与脂重显著相关。通过MB-MDR方法检测到多个SNP位点具有互作效应,并与背膘厚、水分含量、脂肪含量显著相关(P<0.05)。另外,丙酸代谢通路中的基因间的互作效应对猪肉品质有显著影响。     

Single nucleotide polymorphisms in the FTO gene and their association with growth and meat quality traits in rabbits

Fat mass and obesity associated (FTO) gene is an excellent candidate to affect the fatness and growth-related traits in pig and cattle. The aim of this study was to reveal the association between FTO and growth and meat quality traits in rabbits. A total of eight coding SNPs were detected, and four SNPs of them in exon 3 were further genotyped for association analysis in 442 rabbits from three breeds, including 248 New Zealand rabbits, 92 Ira rabbits, and 102 Champagne rabbits. Because there were significant differences for the allele and genotype frequencies among breeds, the association analysis was independently conducted in each breed only for these SNPs with minor allele frequency > 5.0%. The results revealed that non-synonymous SNP c.499G > A (p.A167T) was significantly associated with body weight (BW) at 35, 70, and 84 days of age in New Zealand rabbits (P < 0.01). The CC genotype of synonymous SNP c.660T > C was significantly associated with higher BW84, average daily weight gain, and intramuscular fat content of longissimus lumborum than TT and TC genotypes in Ira rabbits (P < 0.05). There were no associations between the four SNPs and growth and meat quality traits in Champagne rabbits. Meanwhile, FTO SNPs were not associated with meat pH value. Our data indicated that FTO gene could be a candidate gene associated with growth and meat quality traits in rabbits. However, the breed-specific effect should be carefully taken into consideration.     

Estimation of genetic parameters for growth performance and carcass traits in Mukota pigs

The objective of the study was to determine genetic parameters for growth and carcass traits in Mukota pigs, maintained on a fibrous diet. Records (n = 1961) were obtained from a population housed at the University of Zimbabwe Farm (Harare, Zimbabwe) between January 1998 and August 2003. Backfat thickness was measured at 50 and 75 mm (K5 and K7.5), respectively. Carcass length (CL) was measured from the anterior edge of the first rib to the pubic bone using a measuring tape. Variance components were estimated using a model that accounted for direct, common environmental litter and maternal genetic effects, using average information restricted maximum likelihood. Heritability estimates for average daily gain from birth to weaning (ADGW) and average daily gain from weaning to 12 weeks (ADG1) were 0.15 and 0.27, respectively. Maternal genetic effects accounted for 2.6% of variation for ADG1. Heritability for average daily gain from 12 weeks to slaughter (ADG2) was 0.20. Common environmental litter effects accounted for 18% of phenotypic variance for cold dressed mass (CDM). Heritability estimates for CDM and CL were 0.32 and 0.62, respectively. Maternal genetic effects accounted for 10.5% of variance in CL. Heritability estimates for K5 and K7.5 were 0.64 and 0.40, respectively. The CDM was positively genetically correlated to K5, but negative to K7.5. The K5 and K7.5 had a high genetic correlation (0.88). Genetic correlations between ADGW and K5, K7.5 and CL were 0.30, 0.05 and 0.35, respectively. The existence of sufficient genetic variation makes genetic improvement for many growth and carcass traits in the Mukota breed possible through effective selection methods.     

Bovine gene polymorphisms related to fat deposition and meat tenderness

Leptin, thyroglobulin and diacylglycerol O-acyltransferase play important roles in fat metabolism. Fat deposition has an influence on meat quality and consumers' choice. The aim of this study was to determine allele and genotype frequencies of polymorphisms of the bovine genes, which encode leptin (LEP), thyroglobulin (TG) and diacylglycerol O-acyltransferase (DGAT1). A further objective was to establish the effects of these polymorphisms on meat characteristics. We genotyped 147 animals belonging to the Nelore (Bos indicus), Canchim (5/8 Bos taurus + 3/8 Bos indicus), Rubia Gallega X Nelore (1/2 Bos taurus + 1/2 Bos indicus), Brangus Three-way cross (9/16 Bos taurus + 7/16 Bos indicus) and Braunvieh Three-way cross (3/4 Bos taurus + 1/4 Bos indicus) breeds. Backfat thickness, total lipids, marbling score, ribeye area and shear force were fitted, using the General Linear Model (GLM) procedure of the SAS software. The least square means of genotypes and genetic groups were compared using Tukey's test. Allele frequencies vary among the genetic groups, depending on Bos indicus versus Bos taurus influence. The LEP polymorphism segregates in pure Bos indicus Nelore animals, which is a new finding. The T allele of TG is fixed in Nelore, and DGAT1 segregates in all groups, but the frequency of allele A is lower in Nelore animals. The results showed no association between the genotypes and traits studied, but a genetic group effect on these traits was found. So, the genetic background remains relevant for fat deposition and meat tenderness, but the gene markers developed for Bos taurus may be insufficient for Bos indicus.     

猪激素敏感脂肪酶基因外显子1的遗传多态性分析

采用PCR-SSCP方法检测猪激素敏感脂肪酶（hormone sensitive lipase,HSL）基因外显子1的多态性,并分析其与初生重、断奶重、6月龄重和背膘厚的关联性。根据猪HSL基因的DNA序列（AJ000483）设计5对引物,结果在P5引物对扩增的片段上发现了多态性,并对纯合子进行测序,发现外显子1的874bp处存在G-A转换,且存在3种基因型（AA、AB、BB）。统计结果表明,3种基因型在各品种中的分布不一致,长白猪和大白猪与莱芜猪和沂蒙黑猪比较差异极显著（P〈0．01）,长白猪与大白猪比较,莱芜猪与沂蒙黑猪比较差异均不显著（P〉0．05）。固定效应模型分析结果表明,背膘厚基因型间差异显著（P〈0．05）,而初生重、断奶重和6月龄重基因型间差异均不显著（P〉0．05）。最小二乘分析结果表明,BB基因型个体同AB和AA基因型个体比较背膘厚的差异显著（P〈0．05）,3种基因型在背膘厚的大小排列顺序为BB〈AB〈AA。因此,推测HSL基因对个体胴体瘦肉率存在一定的影响将HSL某因应用于猪育种过程中的标记辅助选择可以加快猪的育种进程。     

Analysis of genetic effects on nutrient quality traits in indica rice

Nine cytoplasmic male-sterile lines and five restorer lines were used in an incomplete diallel cross to analyze seed effects, cytoplasmic effects, and maternal gene effects on nutrient quality traits of indica rice (Oryza sauva L.). The results indicated that nutrient quality traits were controlled by cytoplasmic and maternal effects as well as by seed direct effects. Maternal effects for lysine content (LC), lysine index (LI), and the ratio of lysine content to protein content (RLP) were more important than seed direct effects, while protein content (PC) and protein index (PI) were mainly affected by seed direct effects. Cytoplasmic effects accounted for 2.41–20.80% of the total genetic variation and were significant for all nutrient quality traits. Additive genetic effects were much more important than dominance effects for all of the traits studied, so that selection could be applied for these traits in early generations.