固始鸡安卡鸡资源群体3号染色体重要经济性状的QTL定位
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摘要
受人类基因组研究所取得的巨大进展的影响和启示,动物基因组学的研究已展现出光辉灿烂的前景。与人类基因组研究不同,动物基因组的研究与经济性状有关的染色体区域、目标是要精细定位畜禽中控制重要经济性状位点在遗传图谱中的位置,并利用这些信息来改良畜禽品种。本文正是基于这样的背景,采用微卫星标记,对鸡进行基因组扫描,寻找影响鸡重要经济性状的染色体区域,探索一条DNA分子标记辅助选择进行动物分子育种的途径,并为构建高密度的遗传图谱以及将来能够进行以图谱为基础的基因型选择奠定基础。
本研究利用固始鸡和安卡鸡为试验素材建立参考家系,采用F2代设计方法,建立了正反交7个家系,849只性状分离个体。在第三条染色体上选取了10对微卫星标记对这些个体进行扫描。用Cervus2.0软件分析结果显示10个多态标记的等位基因数为2-5个,杂合度为0.483-0.706,多态信息含量为0.367-0.653。10个微卫星标记均有较高的多态信息含量,为该资源群体从分子水平上的研究提供了可靠的依据。
对实验群体的的肉质性状表型数据、屠体性状表型数据、生长性状表型数据以及血液生化指标进行了描述统计分析。相关分析的结果表明各表型值存在一定程度的变异,为数量性状QTL的定位提供了保障。
采用SAS统计软件中的非均衡数据的方差分析对标记座位与各性状指标间是否存在显著性差异进行了分析,检测到的10个标记中有7个标记与肉质性状指标间差异显著;10个标记与屠体性状、生长性状以及血液生化指标间存在不同程度的相关。
用QTL Express在线分析软件对各性状间进行QTL定位分析, QTL定位结果显示:
肉质性状检测到了1个QTL,103cM处检测到了影响脂肪含量的QTL。
生长性状检测到了20个QTL,分别为:143cM处检测到了影响12周胫长的QTL;274cM处检测到了影响8周胸深的QTL;104cM处检测到了影响4周胸角和8周体斜长的QTL;253cM处检测到了影响4周体斜长的QTL;103cM处检测到了影响12周胸角的QTL;146cM处检测到了影响12周胸骨长和12周体斜长的QTL;243cM处检测到了影响4周骨盆宽的QTL;255cM处检测到了影响4周胫围、8周胫围、4周胸骨长、8周胸骨长以及0-12周体重的QTL;
屠体性状检测到了8个QTL,分别为:255cM处检测到了影响全净膛重、半净膛重、胰腺重、胸肌重、腿肌重、屠体重的QTL;59cM处检测到了影响翅重的QTL;111cM处检测到了影响肌胃重的QTL;
血液生化指标中检测到了5个QTL,分别为:162cM处检测到了影响γ-谷氨酰转肽酶的QTL;67cM处检测到了影响碱性磷酸酶的QTL;59cM处检测到了影响胆碱脂酶的QTL;216cM处检测到了影响高密度脂蛋白的QTL;142cM处检测到了影响肌酸磷酸激酶的QTL。
With the development of human genome research, the research of animal genomics has made huge progress. Different from human genome study, the aim of animal genomics is to look for the location chromosome, where there are quatitation trait locus(QTL).Upon this background, this thesis managed to established a chicken resource family, perform the genome scanning vis the microsatellite markers, hunt the chromosome fragments that contain the loci affecting the economical traits, and explore a proper method in the animal breeding via DNA molecular marker assistant selection as well.
Gushi-Anak Crossing Generation F2 Chicks were used in the paper. Form the resulting F2. This generation hybrid chickens included 849 segregation progenies deried from seven families.10 microsatellite DNA markers on chromosome 3 were genotyped. The statistic results by Cervus2.0 software demonstrated that the allele of the selected microsatellite markers was from 2 to 5,the heterozygosity of these markers was from 0.483 to 0.706 and the polymorphism information content was from 0.367 to 0.653. These markers were a high polymorphic,which could substantially guarantee the rehabihy of the result of the research on the molecule level.
The phenotypes of Experimental groups on Meat Quality Traits growth Traits, Carcass Traits Blood Biochemical Index were analyzed, The statistical analysis demonstrated there was variation for every trait in certain extent,this ensured the location of QTL.
SAS statistical software in the non-balanced data analysis of variance (GLM) tags on all seats and groups carcasses traits indicators. every traits of different tag-point genotypes phenotype mean the existence of significant differences. Between 7 markers in the 10 markers were significant with meat quality Traits, 10 markers are varying degrees of related with growth Traits, Carcass Traits and Blood Biochemical Index.
QTL express on line analysis program was used, the QTL mapping analysis of the every trait were carried out by interval mapping. The result indicated.
1 QTL were detected in the meat quality Traits, fat content at 103cM.
20 QTL were detected in the growth Traits, 12-week-aged tibia length at 143cM; 8-week-aged chest depth at 274cM; 4-week-aged chest angle, 8-week-aged body length at 104cM; 4-week-aged body length at 253cM; 12-week-aged chest angle at 103cM; 12-week-aged body length and length of breastbo at 146cM; 4-week-aged coxa width at 243cM; we found 11 QTL infiuencing 4-week-aged shank girth ; 8-week-aged shank girth ; 4-week-aged length of breastbo; 8-week-aged length of breastbo ;0-12--week-aged weight at 255cM
8 QTL were detected in the carcass Traits, wing weight at 59cM. gizzard weight at 111cM. we found 6 QTL infiuencing eviscerated yield, eviscerated yield with giblet, pancreas weight, leg muscle weight and breast muscle weight and carcass weight at 255cM
5 QTL were detected in the blood biochemical index, GGT at 162cM. AKP at 67cM. CHE at 59cM. HDL at 216cM. CK at 142cM.
本研究利用固始鸡和安卡鸡为试验素材建立参考家系,采用F2代设计方法,建立了正反交7个家系,849只性状分离个体。在第三条染色体上选取了10对微卫星标记对这些个体进行扫描。用Cervus2.0软件分析结果显示10个多态标记的等位基因数为2-5个,杂合度为0.483-0.706,多态信息含量为0.367-0.653。10个微卫星标记均有较高的多态信息含量,为该资源群体从分子水平上的研究提供了可靠的依据。
对实验群体的的肉质性状表型数据、屠体性状表型数据、生长性状表型数据以及血液生化指标进行了描述统计分析。相关分析的结果表明各表型值存在一定程度的变异,为数量性状QTL的定位提供了保障。
采用SAS统计软件中的非均衡数据的方差分析对标记座位与各性状指标间是否存在显著性差异进行了分析,检测到的10个标记中有7个标记与肉质性状指标间差异显著;10个标记与屠体性状、生长性状以及血液生化指标间存在不同程度的相关。
用QTL Express在线分析软件对各性状间进行QTL定位分析, QTL定位结果显示:
肉质性状检测到了1个QTL,103cM处检测到了影响脂肪含量的QTL。
生长性状检测到了20个QTL,分别为:143cM处检测到了影响12周胫长的QTL;274cM处检测到了影响8周胸深的QTL;104cM处检测到了影响4周胸角和8周体斜长的QTL;253cM处检测到了影响4周体斜长的QTL;103cM处检测到了影响12周胸角的QTL;146cM处检测到了影响12周胸骨长和12周体斜长的QTL;243cM处检测到了影响4周骨盆宽的QTL;255cM处检测到了影响4周胫围、8周胫围、4周胸骨长、8周胸骨长以及0-12周体重的QTL;
屠体性状检测到了8个QTL,分别为:255cM处检测到了影响全净膛重、半净膛重、胰腺重、胸肌重、腿肌重、屠体重的QTL;59cM处检测到了影响翅重的QTL;111cM处检测到了影响肌胃重的QTL;
血液生化指标中检测到了5个QTL,分别为:162cM处检测到了影响γ-谷氨酰转肽酶的QTL;67cM处检测到了影响碱性磷酸酶的QTL;59cM处检测到了影响胆碱脂酶的QTL;216cM处检测到了影响高密度脂蛋白的QTL;142cM处检测到了影响肌酸磷酸激酶的QTL。
With the development of human genome research, the research of animal genomics has made huge progress. Different from human genome study, the aim of animal genomics is to look for the location chromosome, where there are quatitation trait locus(QTL).Upon this background, this thesis managed to established a chicken resource family, perform the genome scanning vis the microsatellite markers, hunt the chromosome fragments that contain the loci affecting the economical traits, and explore a proper method in the animal breeding via DNA molecular marker assistant selection as well.
Gushi-Anak Crossing Generation F2 Chicks were used in the paper. Form the resulting F2. This generation hybrid chickens included 849 segregation progenies deried from seven families.10 microsatellite DNA markers on chromosome 3 were genotyped. The statistic results by Cervus2.0 software demonstrated that the allele of the selected microsatellite markers was from 2 to 5,the heterozygosity of these markers was from 0.483 to 0.706 and the polymorphism information content was from 0.367 to 0.653. These markers were a high polymorphic,which could substantially guarantee the rehabihy of the result of the research on the molecule level.
The phenotypes of Experimental groups on Meat Quality Traits growth Traits, Carcass Traits Blood Biochemical Index were analyzed, The statistical analysis demonstrated there was variation for every trait in certain extent,this ensured the location of QTL.
SAS statistical software in the non-balanced data analysis of variance (GLM) tags on all seats and groups carcasses traits indicators. every traits of different tag-point genotypes phenotype mean the existence of significant differences. Between 7 markers in the 10 markers were significant with meat quality Traits, 10 markers are varying degrees of related with growth Traits, Carcass Traits and Blood Biochemical Index.
QTL express on line analysis program was used, the QTL mapping analysis of the every trait were carried out by interval mapping. The result indicated.
1 QTL were detected in the meat quality Traits, fat content at 103cM.
20 QTL were detected in the growth Traits, 12-week-aged tibia length at 143cM; 8-week-aged chest depth at 274cM; 4-week-aged chest angle, 8-week-aged body length at 104cM; 4-week-aged body length at 253cM; 12-week-aged chest angle at 103cM; 12-week-aged body length and length of breastbo at 146cM; 4-week-aged coxa width at 243cM; we found 11 QTL infiuencing 4-week-aged shank girth ; 8-week-aged shank girth ; 4-week-aged length of breastbo; 8-week-aged length of breastbo ;0-12--week-aged weight at 255cM
8 QTL were detected in the carcass Traits, wing weight at 59cM. gizzard weight at 111cM. we found 6 QTL infiuencing eviscerated yield, eviscerated yield with giblet, pancreas weight, leg muscle weight and breast muscle weight and carcass weight at 255cM
5 QTL were detected in the blood biochemical index, GGT at 162cM. AKP at 67cM. CHE at 59cM. HDL at 216cM. CK at 142cM.
引文
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