巴马香猪周身皮肤厚度的测量及其与7号染色体候选SNPs位点的关联分析

发布时间：2018-06-09 22:27

本文选题：巴马香猪 + 皮肤厚度　；参考：《中国农业科学》2016年16期

【摘要】：【目的】测定中国地方小型猪品种巴马香猪成年时周身9个典型部位的皮肤厚度,揭示巴马香猪不同部位皮肤厚度变化规律,进行9个部位皮肤厚度与候选SNPs位点的关联分析,在巴马香猪群体中验证影响皮肤厚度的7号染色体主效QTL,为进一步在巴马香猪群体中大规模开展皮肤厚度等形态变化的分子遗传控制机理及其相关基因功能研究奠定基础,从而增强人们对猪皮肤的认知。【方法】从一个由319头300日龄巴马香猪组成的成年屠宰群体中,随机选取50头,包括27头母猪和23头阉割公猪,分别取头脸、肩、背、肷、臀、胸、下腹、腋下和管等9个部位的皮肤,利用电子游标卡尺对这些不同部位皮肤厚度进行精确测量,利用R语言基本统计包进行不同部位和不同性别间皮肤厚度的差异分析以及不同部位间皮肤厚度的相关分析。在猪7号染色体34.5-36.2Mb的区域选取46个SNPs位点,利用MassARRAY时间飞行质谱技术进行基因分型,结合上述测定的皮厚表型,利用广义混合线性模型及R语言SNPassoc软件包进行目标候选区域的关联分析。根据关联分析结果和基因的生物学功能确定可能的位置候选基因。【结果】(1)单因素方差分析表明巴马香猪9个部位的皮肤厚度存在极显著差异(P=2.95×10~(-117)),肷部和背部的皮肤最厚,分别为(5.15±0.92)和(4.97±0.85)mm,下腹和腋下的皮肤最薄,分别为(1.77±0.36)和(1.97±0.68)mm。皮肤厚度从厚到薄依次是肷部、背部、肩部、头脸、臀部、管部、胸部、腋下和下腹。(2)阉割公猪腋下皮肤厚度显著小于母猪的(P=0.021),其它部位皮肤厚度在母猪和阉割公猪间差异均不显著。(3)除了下腹皮肤厚度与背部、肩部、头脸部的不相关(P0.05)外,巴马香猪不同部位两两之间皮肤厚度均呈现不同程度地显著或极显著正相关。(4)关联分析结果表明,9个不同部位的皮肤厚度表型均与候选区域的某些SNPs存在极显著的关联,从强到弱依次是肷部、肩部、背部、腋下、臀部、胸部、头脸、管部和下腹。从而,证实了巴马香猪群体存在影响猪皮肤厚度的7号染色体主效QTL。(5)3个与皮肤厚度关联性最强的SNPs值得进一步关注,分别位于7号染色体的34856565、35543837和35573869位置。肷部的皮肤厚度与SNP(chr7:34856565)的关联显著性最强(P_(cor)=5.15×10~(-6)),这个SNP也是肩部皮肤厚度最关联(P_(cor)=5.75×10~(-6))的位点。SNP(chr7:35543837)是腋下(P_(cor)=3.05×10~(-5))、臀部(P_(cor)=0.010)、胸部(P_(cor)=0.013)和头脸(P_(cor)=0.025)皮肤厚度的最关联位点,也是肩部皮肤厚度的次最关联位点。SNP(chr7:35573869)则是背部皮肤厚度的最关联位点(P_(cor)=1.17×10~(-5)),SNPs(chr7:35543837和chr7:34856565)次之。(6)根据最强关联SNPs所在基因及基因生物学功能,初步推测ANKS1A和HMGA1基因可能是影响皮肤厚度的候选因果基因。【结论】较全面地测量了中国小型地方猪品种巴马香猪周身皮肤厚度,揭示了巴马香猪皮肤厚度在不同部位之间的变化规律。在巴马香猪群体中验证了影响皮肤厚度的7号染色体主效QTL位点,肷部、背部和肩部皮肤厚度表型性状与候选SNPs位点关联性更强,可能适合下一步大规模深入分析。ANKS1A和HMGA1基因可能是影响皮肤厚度的候选因果基因,但需要进一步生物学功能试验证明。
[Abstract]:[Objective] to determine the skin thickness of 9 typical parts of the body of Bama Xiang pig in Chinese local miniature pig, to reveal the skin thickness variation in different parts of Bama Xiang pig and to analyze the correlation between the skin thickness of 9 parts and the candidate SNPs loci, and to verify the main effect of the main effect QTL of chromosome 7 on the skin thickness in Bama Xiang pig population. In addition, the molecular genetic control mechanism and related gene function of the skin thickness changes in Bama pig population are further established, thus enhancing people's cognition of pig skin. [Methods] 50 heads, including 27 mothers, were randomly selected from a adult slaughterhouse composed of 319 Bama pigs and 300 days old. Pigs and 23 castrated boars, respectively, take the skin of 9 parts of the head, shoulder, back, shoulder, back, hip, chest, lower abdomen, axillary and tube, and use the electronic vernier caliper to measure the skin thickness of these different parts accurately, and use the basic statistics package of R language to analyze the difference of skin thickness between different parts and different sexes and the skin thickness between different parts. Correlation analysis of degree. 46 SNPs loci were selected in the region of 34.5-36.2Mb of chromosome 7 of the pig. MassARRAY time flight mass spectrometry was used to genotyping, combined with the skin thickness phenotype measured above, the association analysis of the target candidate region was carried out by the generalized mixed linear model and the R language SNPassoc software package. The possible location candidate genes were determined by the biological function. [results] (1) one factor variance analysis showed that the skin thickness of the 9 parts of Bama Xiang pig was very significant (P=2.95 x 10~ (-117)). The skin was the thickest, (5.15 + 0.92) and (4.97 + 0.85) mm respectively, and the skin of lower abdomen and underarm was the thinnest, respectively (1.77 + 0.36). And (1.97 + 0.68) mm. skin thickness from thick to thin in turn, back, shoulder, head, face, hip, tube, chest, axillary and lower abdomen. (2) the thickness of axillary skin in castration boars was significantly smaller than sow (P=0.021), and the skin thickness of other parts was not significant between sows and castrated male pigs. (3) the thickness of the lower abdomen and the back, shoulder, head, and head were not significant. The skin thickness of 22 different parts of the Bama pig was significantly or significantly positively correlated with 22 of the different parts of the Bama Xiang pig. (4) the correlation analysis showed that the skin thickness phenotypes of the 9 different parts were closely related to some of the SNPs in the candidate regions, from the strong to the weak, in turn, in the shoulder, back, and under the armpit. Hip, chest, head, face, tube and lower abdomen. Thus, it was confirmed that the 7 main QTL. (5) of the Bama Xiang pig population affected the thickness of the skin of the pig (5), 3 of the strongest association with the thickness of the skin deserve further attention, located at 3485656535543837 and 35573869 of chromosome 7, respectively. Skin thickness and SNP (chr7:34856565). The strongest association (P_ (COR) =5.15 x 10~ (-6)) is the most associated site of the skin thickness of the shoulder (P_ (COR) =5.75 x 10~ (-6)), the most associated site of the skin thickness in the buttocks, and the skin thickness of the shoulder. The most associated site.SNP (chr7:35573869) is the most associated site of the skin thickness of the back (P_ (COR) =1.17 * 10~ (-5)), SNPs (chr7:35543837 and chr7:34856565). (6) according to the gene and the biological function of the strongest association SNPs gene and gene, it is preliminarily presumed that ANKS1A and genes may be candidate causal genes affecting the thickness of the skin. The skin thickness of Bama Xiang pig was measured in a small local pig breed in China, and the changes in the skin thickness of Bama Xiang pig were revealed in different parts. The main effect QTL loci of chromosome 7, the skin thickness of the back and shoulder, and the candidate SNPs loci of the skin thickness of the Bama Xiang pig population were verified in the Bama pig population. More relevant, it may be suitable for the next large-scale in-depth analysis of the.ANKS1A and HMGA1 genes may be candidate causal genes affecting the skin thickness, but further biological functional tests are required.
【作者单位】：江西农业大学省部共建猪遗传改良与养殖技术国家重点实验室;
【基金】：国家自然科学基金(31460283)
【分类号】：S828

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