微卫星标记多态性与丝羽乌骨鸡屠宰性能的相关分析
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摘要
本试验以丝羽乌骨鸡为材料，在鸡1号染色体和Z染色体上分别选取15对和5对微卫星标记，应用多重PCR技术进行扩增后，产物在：ABI3100-Avant遗传分析仪上全自动检测。采用Cervus2.0分析各标记位点的等位基因数、杂合度、多态信息含量以及等位基因频率；运用SAS6.12进行分子标记与13个屠宰性状(包括宰前活重、全净膛重、半净膛重、肌胃等)非均衡数据方差分析和多重比较。还进行了多重PCR条件的优化和引物配套组合的筛选。结果表明：
(1)经过对多重PCR条件和引物组合的反复优化，最终成功筛选了可用3个泳道检测的5套多重PCR组合(3个四微卫星组合和2个三微卫星组合)。用ABI3100-Avant遗传分析仪检测，结果表明本次多重PCR组合试验比较成功。
(2)所选用的20对微卫星引物中，除MCW0101和MCW0181因扩增效果不理想而剔除外，其余18对标记均表现出丰富的多态性。平均检测到6.83个等位基因(5-8个)，平均杂合度和多态信息含量分别为0.833和0.805。
(3)通过GLM分析，筛选出13个多态性位点与所选用的丝羽乌骨鸡的13个屠宰性状存在显著相关。
LEI0146与宰前活重相关显著；MCW0154、LEI0134和LEI0146与半净膛重相关显著，其中LEI0146与半净膛重相关极显著；LEI0146与脚重呈显著相关；LEI0146和MCE0036分别与心重相关显著和极显著；LEI0146和MCW0200均与肝重相关极显著；MCW0313、LEI0134、MCW0331与肌胃相关极显著；MCW0254和LEI0134与胸肌重、腿肌重相关显著，其中MCW0254与腿肌重相关极显著；MCW0154、LEI0134和LEI0146与全净膛重相关显著，其中LEI0146与全净膛重相关极显著；MCW0168、MCW0258、MCW0331、LEI0106、LEI0146、MCW0112均与全净膛率显著相关，其中MCW0258和LEI0146与全净膛率相关极显著；LEI0134、MCW0331、LEI0106、LEI0146、MCW0112与半净膛率相关显著，其中MCW0258和LEI0146与半净膛率相关极显著；MCW0258和MCW0200与胸肌率相关显著，MCW0200与胸肌率相关极显著；MCW0177和MCW0258与腿肌率显著相关，其中MCW0258与腿肌率呈极显著相关，表明以上微卫星标记可作为进一步QTL定位和标记辅助选择研究的参考。
Fifteen microsatellite markers in Chrl and five microsatellite markers in Chr Z selected for multiplex PCR in silkie, the production were detected automatically on ABI3100.Allele number average heterozygosity(H) polymorphism information content (PIC) and allele frequencies were calculated by Cervus2. 0. The GLM between markers and thirteen dressing characters was performed by SAS6.12. To cut down the workload and the cost, we optimized the conditions of the multiplex PCR and the combination of the markers. The results indicate:
(1) After the conditions of the multiplex PCR and the combination of the markers optimized many times, 5 sets were filtrated successfully Which could be detected in 3 sets using ABI3100-Avant. It indicated that this experiment of multiplex PCR sets was successful.
(2) 18 pairs of microsatellites were polymorphism. The average number of alleles detected by a pair of primer was 6.83. The average PIC was 0.805. And the population heterozygosity was 0.833.
(3) We found there were significant correlations among 13 markers and 13 characters through GLM.
There is significant correlation between LEI0146 and the Live Weight.MCW0154 LEI0134 and LEI0146 are all remarkably correlative to the Eviscerated weight with giblet. Among those, the correlation between LEI0146 and the Eviscerated weight with giblet is extremely significant. Also, LEI0146 is remarkably correlative to the claw weight. The correlation between the Heart weight and LEI0146 is significant while it between the heart and MCW0036 is extremely significant. LEI0146 and MCW0200 are all
extremely correlative to Liver weight. The correlation between MCW0313 LEI0134 MCW0331 and the Ventriculus muscular is weight is significant. MCW0254 LEI0134 are all remarkable correlative to the Breast muscle yield weight and the Leg muscle yield weight, notably, the correlation between MCW0254 and the Leg muscle yield weight is extremely significant. Which are remarkably correlative to the Eviscerated weight are MCW0154 LEI0134 and LEIO146, among those, the correlation between LEI0146 and the Eviscerated weight is extremely significant.MCW0168 MCW0331 LEI0106 MCW0112 are all remarkably correlative to the Percentage of eviscerated yield while the correlations between MCW0258 and LEI0146 are remarkably significant. About the Percentage of eviscerated yield with giblet, it is significantly correlative to MCW0331 LEI0106 MCW0112 and the correlation between the Percentage of eviscerated yield with giblet and MCW0258 LEI0146 is extremely significant. MCW0258 and MCW0200 are significantly correlative to the Pe
rcentage of breast muscle yield, and the correlation between MCW0200 and the Percentage of breast muscle yield is extremely significant. MCW0177 and MCW0258 are all remarkably correlative to the Percentage of leg muscle yield, and the correlation between MCW0258 and the Percentage of leg muscle yield is extremely significant.
(1)经过对多重PCR条件和引物组合的反复优化，最终成功筛选了可用3个泳道检测的5套多重PCR组合(3个四微卫星组合和2个三微卫星组合)。用ABI3100-Avant遗传分析仪检测，结果表明本次多重PCR组合试验比较成功。
(2)所选用的20对微卫星引物中，除MCW0101和MCW0181因扩增效果不理想而剔除外，其余18对标记均表现出丰富的多态性。平均检测到6.83个等位基因(5-8个)，平均杂合度和多态信息含量分别为0.833和0.805。
(3)通过GLM分析，筛选出13个多态性位点与所选用的丝羽乌骨鸡的13个屠宰性状存在显著相关。
LEI0146与宰前活重相关显著；MCW0154、LEI0134和LEI0146与半净膛重相关显著，其中LEI0146与半净膛重相关极显著；LEI0146与脚重呈显著相关；LEI0146和MCE0036分别与心重相关显著和极显著；LEI0146和MCW0200均与肝重相关极显著；MCW0313、LEI0134、MCW0331与肌胃相关极显著；MCW0254和LEI0134与胸肌重、腿肌重相关显著，其中MCW0254与腿肌重相关极显著；MCW0154、LEI0134和LEI0146与全净膛重相关显著，其中LEI0146与全净膛重相关极显著；MCW0168、MCW0258、MCW0331、LEI0106、LEI0146、MCW0112均与全净膛率显著相关，其中MCW0258和LEI0146与全净膛率相关极显著；LEI0134、MCW0331、LEI0106、LEI0146、MCW0112与半净膛率相关显著，其中MCW0258和LEI0146与半净膛率相关极显著；MCW0258和MCW0200与胸肌率相关显著，MCW0200与胸肌率相关极显著；MCW0177和MCW0258与腿肌率显著相关，其中MCW0258与腿肌率呈极显著相关，表明以上微卫星标记可作为进一步QTL定位和标记辅助选择研究的参考。
Fifteen microsatellite markers in Chrl and five microsatellite markers in Chr Z selected for multiplex PCR in silkie, the production were detected automatically on ABI3100.Allele number average heterozygosity(H) polymorphism information content (PIC) and allele frequencies were calculated by Cervus2. 0. The GLM between markers and thirteen dressing characters was performed by SAS6.12. To cut down the workload and the cost, we optimized the conditions of the multiplex PCR and the combination of the markers. The results indicate:
(1) After the conditions of the multiplex PCR and the combination of the markers optimized many times, 5 sets were filtrated successfully Which could be detected in 3 sets using ABI3100-Avant. It indicated that this experiment of multiplex PCR sets was successful.
(2) 18 pairs of microsatellites were polymorphism. The average number of alleles detected by a pair of primer was 6.83. The average PIC was 0.805. And the population heterozygosity was 0.833.
(3) We found there were significant correlations among 13 markers and 13 characters through GLM.
There is significant correlation between LEI0146 and the Live Weight.MCW0154 LEI0134 and LEI0146 are all remarkably correlative to the Eviscerated weight with giblet. Among those, the correlation between LEI0146 and the Eviscerated weight with giblet is extremely significant. Also, LEI0146 is remarkably correlative to the claw weight. The correlation between the Heart weight and LEI0146 is significant while it between the heart and MCW0036 is extremely significant. LEI0146 and MCW0200 are all
extremely correlative to Liver weight. The correlation between MCW0313 LEI0134 MCW0331 and the Ventriculus muscular is weight is significant. MCW0254 LEI0134 are all remarkable correlative to the Breast muscle yield weight and the Leg muscle yield weight, notably, the correlation between MCW0254 and the Leg muscle yield weight is extremely significant. Which are remarkably correlative to the Eviscerated weight are MCW0154 LEI0134 and LEIO146, among those, the correlation between LEI0146 and the Eviscerated weight is extremely significant.MCW0168 MCW0331 LEI0106 MCW0112 are all remarkably correlative to the Percentage of eviscerated yield while the correlations between MCW0258 and LEI0146 are remarkably significant. About the Percentage of eviscerated yield with giblet, it is significantly correlative to MCW0331 LEI0106 MCW0112 and the correlation between the Percentage of eviscerated yield with giblet and MCW0258 LEI0146 is extremely significant. MCW0258 and MCW0200 are significantly correlative to the Pe
rcentage of breast muscle yield, and the correlation between MCW0200 and the Percentage of breast muscle yield is extremely significant. MCW0177 and MCW0258 are all remarkably correlative to the Percentage of leg muscle yield, and the correlation between MCW0258 and the Percentage of leg muscle yield is extremely significant.
引文
1．陈爱葵，冯肇松．李爱群鹌鹑和石鸡的核型及C带研究．华南师范大学学报：自然科学版．1999，(2)：95～99
2．杜晓惠，邱祥聘．白丝羽乌骨鸡的选育进展与冠型效应．四川农业大学学报．2002，2(3)：253～255
3．段子渊．丝羽乌骨鸡蛋重和冠型对孵化率影响的研究．甘肃畜牧兽医．1997，27(4)：1～4
4．冯登祯，刘红霞．DNA分子遗传标记技术及其研究进展．宁夏农学院院报．2001，22(3)：80～83
5．耿照玉，姜潤深．淮南麻黄鸡血清酯酶多态性与屠宰性能及肉质的关系．中国畜牧兽医学报．2003，23(1)：82～83
6．宫桂芬，孙会，仇宝琴，程光潮，王力，段章雄．褐壳蛋鸡17个品种鸡血型测试报告．动物科学与动物医学．2002，19(4)：14～17
7．顾亚玲，陈伟民．张惠茹．闫宏．血液生化指标在养鸡业杂种优势利用中的研究．中国畜牧杂志．2003，39(1)：36～37
8．胡刚安，文伯珍．性连锁矮小基因对黄羽肉鸡饲料转化率的影响．四川农业大学学报．1995，13(3)
9．胡刚安，杨纯芬．优质黄羽肉鸡羽速与经济性状的关系研究．广东农业科学．1995，(4)：1～3
10．黄慎钊，李宛平．鸡的血型及其应用．甘肃畜牧兽医．1989，(3)：23～27
11．黄银花，胡晓湘，邓学梅，徐慰倬，李宁，冯继东，孙汉，吴常信．利用多重PCR进行鸡全基因组扫描。自然科学进展，2001，11(9)：950～953
12．贾玉艳，陈宏．SNP分子标记的研究及应用．黄牛杂志．2003，29(1)：42～44
13．简承松，杨明常．快慢羽基因对贵州黄鸡早期性状的效应研究．西南农业学报．1991，4(3)：39～43
14．金海国，姜成国，白红星，李双峰．分子遗传标记及其分析技术的研究进展．宁夏农学院学报．2001，22(3)：80～83
15．金深逊等．乌蒙黄鸡乌骨鸡肉用性能研究，第九次全国家禽学术讨论会论文集．1999，96～98
16．康湘涛，宋素芳．蛋鸡羽色类型与繁殖性状的关系．河南农业大学学报．1998，32(2)：189～192
17．黎怀星．控制快慢羽的基因及其多效性．中国家禽．1989，(5)：36～38
18．李中平，关丽华．肉鸡抗病力与生产性能的关系．吉林农业大学学报．1996，18(4)：66～68
19．刘娟，戴国俊．鸡MHC单倍型与马立克氏病抗性关系的研究．上海畜牧兽医通讯．1993，(3)：23～27
20．刘新华，周艳．丝羽乌骨鸡肉用新品系生长发育性能选育效果分析．第十一次全国家禽学术讨论会论文集．2003：213～216．
21．刘益平．分子遗传标记在家禽育种中的应用．四川畜牧兽医．1999，1：21～22
22．娄义洲，徐寒梅，娄锋，谢璞．武农Ⅰ系乌骨鸡快慢羽系羽毛生长速度与体重关系的研究．云南畜牧兽医．2001，(4)：3～4
23．马吉飞，陈万芳．鸡血型系统对马立克氏病肿瘤形成的影响．中国预防兽医学报．1999，21(4)：268～271
24．宁中华，李吉祥．dW基因对褐壳蛋鸡生产性能影响的研究．中国家禽．1994，(6)：21～22
25．宁中华，李吉祥．快慢羽对蛋鸡生产性能影响研究．当代畜牧．1990，(4)：7～8
26．欧阳建华，熊建华，孙汉，林媛媛，王珠才，周燮．羽速基因对万载康乐黄鸡肉用性能的影响．江西农业大学学报．2002，24(4)：508～512
27．潘学华．节粮矮小型蛋鸡与京白939蛋鸡对比试验报告．畜禽业。2003，(9)：30～31
28．仇宝琴，宫桂芬，傅先强，孙会，程光潮．抗马立克氏病新品系选育Ⅲ．第四代雏鸡MDV攻毒试验．中国畜牧杂志．2003，39(1)：20～21
29．任军，黄路生，罗明．分子遗传标记技术及其在动物遗传育种中的应用．江西农业大学学报．1997，19(4)：14～19
30．石兴娣，张正旺，刘凌云．三种马鸡的核型及染色体G-带带型．动物学报．2001，47(3)：280～284
31．舒鼎铭，杨纯芬．矮小型基因(dW)对地方鸡种繁殖性能的影响．中国畜牧杂志．1999，35(6)：16～17
32．宋素芳，康相涛，孙桂荣，王彦彬，竹学军．固始鸡快慢羽纯系的选育及自别雌雄效果研究．华中农业大学学报．2003，22(4)：374～377
33．王建荣，张德福．鸡血型研究的进展．国外畜牧学：猪与禽．1989，(6)：55～60
34．王金玉，龚允陈，陈国宏，陈宽维．鸡的DNA指纹与屠宰性能的相关性研究，遗传学报，1999，26(4)，324～328。
35．王偕根，陈国宏，张学余，傅筑荫，徐琪，李碧春．鹿苑鸡核型及其与生产性能的相关性
研究．中国家禽．2003，25(6)：7～9
36．韦凤英，廖玉英，刘明君，罗蒙和，覃仕善．冠面积选择对提高地方鸡生产性能的意义．广西畜牧兽医．2003，19(2)：78～79
37．韦来红，陆应林等．徐海鸡屠宰性能及肌肉品质的测定．第十次全国家禽学术讨论会论文集．2001
38．吴晓林，项可宁．优质黄羽肉鸡伴性快慢羽基因效应研究．山东家禽．1992，5(2)：3～6
39．谢金防，丁进才．羽速基因对崇仁麻鸡蛋质性状的影响．动物科学与动物医学．2000，17(6)：22～23
40．谢金防，刘林秀．快慢羽基因对崇仁麻鸡精液品质的影响．江西畜牧兽医杂志．2000，(2)：7～7
41．徐宁迎，傅衍．C．Looft．N．Reinsch．E．Kalm．多重聚合酶链反映筛选方法的研究。畜牧兽医学报，2001，32(2)：108～112
42．徐琪，张学余，谢恺舟，李碧春，陈国宏．萧山鸡血浆胆固醇含量及其与屠宰性能相关性分析．四川畜牧兽医．2003．3(4)：18～19
43．徐延生、雷雪芹．河南斗鸡及其杂一代屠体主要经济性状间关系的探讨．第十次全国家禽学术讨论会论文集．2001
44．颜炳学，李宁，邓学梅，胡晓湘，刘兆良，赵兴波，连正兴，吴常信．鸡类胰岛索生长因子—Ⅱ基因单核苷酸多态与生长、屠体性状相关性的研究．遗传学报，2002，29(1)；30～33．
45．叶湘海，戴国俊单冠变异与鸡产蛋性能关系的研究．辽宁畜牧兽医．1996，(1)：6～7
46．余其兴，H．H霍巴特．黑水鸡与家鸡染色体带型同源性比较研究．动物学报．1990，36(2)：194～198
47．曾燕如，黄敏仁，王明庥．一种新的分子标记—单核苷酸多态(SNP)．南京林业大学学报(自然科学版)．2003，27(3)：84～88
48．张保生，庞云龙．泰和鸡生长发育屠宰性能及肉品品质的测定．天津畜牧兽医．1998．15(3：)7～8
49．郑华．优质黄羽肉鸡生长发育及肉用性状的遗传研究．四川农业大学．1999年硕士学位论文．
50．周海龙，朱庆．丝羽乌骨鸡早期生长发育及肉用性能的研究．第十一次全国家禽学术讨论会论文集．2003：209～212．
51．朱新产，王宝维，张庭荣，赵德峰，韩月花．四种同工酶在寿×斗杂交鸡中表达变化的研
究，农业生物技术学报．2001，9(2)：175～177
53. Cheng HH, Crittenden LB. Microsatellite markers for genetic mapping in the chicken. Poult Sci. 1994 Apr;73(4):539～546.
54. Cheng HH, Levin I, Vallejo RL, Khatib H, Dodgson JB, Crittenden LB, Hillel J. Development of a genetic map of the chicken with markers of high utility. Poult Sci. 1995 Nov;74(11):1855～74.
55. Cheng HH. Mapping the chicken genome..Poult Sci. 1997 Aug;76(8):1101～7.
56. Cheng HJ, Yue YS, Fan XZ, Zhang CS, Du LX. Analysis of genetic diversity of Shandong indigenous chicken breeds using microsatellite marker. Yi Chuan Xue Bao. 2003 Sep;30(9):855～60.
57. Crooijmans RP, Dijkhof RJ, van der Poel JJ, Groenen MA. New microsatellite markers in chicken optimized for automated fluorescent genotyping. Anim Genet. 1997 Dec;28(6):427～37.
58. Crooijmans RP, van der Poel JJ, Groenen MA. Functional genes mapped on the chicken genome. Anim Genet. 1995 Apr;26(2):73～8.
59. Crooijmans RP, van Kampen AJ, van der Poel JJ, Groenen MA. Highly polymorphic microsatellite markers in poultry. Anim Genet. 1993 Dec;24(6):441～443.
60. Crooijmans RP, van Kampen AJ, van der Poel JJ, Groenen MA. New microsatellite markers on the linkage map of the chicken genome. J Hered. 1994 Sep-Oct;85(5):410～3.
61. Crooijmans RP, van Oers PA, Strijk JA, van der Poel JJ, Groenen Preliminary linkage map of the chicken (Gallus domesticus) genome based on microsatellite markers: 77 new markers mapped. Poult Sci. 1996 Jun;75(6):746～54.
62. Crooijmans, R.P.M.A., A.B.F. Groen, A.J.A. van Kampen, S. van der Beek, J.J. van der Poel and M.A.M. Groenen (1996) Microsatellite polymorphism in commercial broiler and layer lines using pooled blood samples. Poultry Science 75, 904～909
63. Crooijmans, R.P.M.A., P.A.M. van Oers, J.A. Strijk, J.J. van der Poel and M.A.M. Groenen Preliminary linkage map of the chicken (Gallus domesticus) genome based om microsatellite markers: 77 new markers mapped. Poultry science 1996.75, 746～754
64. Dawson D, McConnell S, Wardle A, Gibbs M, Burke TCharacterization and mapping of
15 novel chicken microsatellite loci. Anim Genet. 1998 Apr;29(2):159～60
65. Dranchak PK, Chaves LD, Rowe JA, Reed KM. Turkey microsatellite loci from an embryonic cDNA library..Poult Sci. 2003 Apr;82(4):526～31.
66. Groenen, M.A.M., Cheng, H.H., Bumstead, N., Benkel, B., Briles, E., Burt, D.W., Burke, T., Dodgson, J., Hillel, J., Lamont, S., Ponce de Leon, F.A., Smith, G., Soller, M., Takahashi, H. and Vignal, A.. A consensus linkage map of the chicken genome. Genome Research 2000.10, 137～147
67. Groenen, M.A.M., R.P.M.A. Crooijmans, A. Veenendaal, H.H. Cheng, M. Siwek and J.J. van der Poel A comprehensive microsatellite linkage map of the chicken genome. Genomics 1998.49, 265～274
68. Hamoen, F.F.A., J.B.C.H.M. van Kaam, M.A.M. Groenen, A.L.J. Vereijken and H. Bovenhuis Detection of genes on the Z-chromosome affecting growth and feathering in broilers. Poultry Science 2001.80:527～534
69. HANS H. CHENG Microsatellite Markers for Genetic Mapping in the Chicken, 1994 Poultry Science 73;539～546.
70. J. Herbergs, M. Siwek, R. P. M. A. Crooijmans, J. J. Van der Poel, M. A. M. Groenen. Multicolour fluorescent detection and mapping of AFLP markers in chicken (Gallus domesticus). Animal Genetics. Volume 30, Issue 4, Page 274～285, Aug 1999
71. J.J. Zhu, et, al, Screening for Highly Heterozygous Chickens in Outbred Commercial Broiler Lines to increase Detection Power for Mapping Quantitative Trait Loci, 2001, Poultry Science 80;6～12.
72. Kaiser MG, Deeb N, Lamont SJ. Microsatellite markers linked to Salmonella enterica serovar enteritidis vaccine response in young F1 broiler-cross chicks. Poult Sci. 2002 Feb;81(2):193～201.
73. Kaiser MG, Yonash N, Cahaner A, Lamont SJ. Microsatellite polymorphism between and within broiler populations. Poult Sci. 2000 May;79(5):626～8.
74. Kayang BB, Inoue-Murayama M, Hoshi T, Matsuo K, Takahashi H, Minezawa M, Mizutani M, Ito S. Genet Sel Evol. Microsatellite loci in Japanese quail and cross-species amplification in chicken and guinea fowl. 2002 Mar-Apr;34(2):233～53.
75. Kayang BB, Inoue-Murayama M, Nomura A, Kimura K, Takahashi H, Mizutani M, Ito S.
Fifty microsatellite markers for Japanese quail. J Hered. 2000 Nov-Dec;91(6):502～5.
76. Khatib H, Genislav E, Crittenden LB, Bumstead N, Soller M. Sequence-tagged microsatellite sites as markers in chicken reference and resource populations. Anim Genet. 1993 Oct;24(5):355～62.
77. M A M Groenen, R P M A Crooijmans, R J M Dijkhof, R Acar, J J van der Poel. Extending the chicken-human comparative map by placing 15 genes on the chicken linkage map. Animal Genetics. Volume 30, Issue 6, Page 418～422, Dec 1999
78. McConnell SK, Dawson DA, Wardle A, Burke T. The isolation and mapping of 19 tetranucleotide microsatellite markers in the chicken. Anim Genet. 1999 Jun;30(3):183～9.
79. N. yonash, H.H. Cheng, J. Hillel, D,E, Heller, and A. Cahaner. DNA Microsatellites Linked to Quantitative Trait Loci Affecting Antibody Response and Survival Rate in Meat -Type Chickens, 2001, poultry Sci, 80,22～28.
80. NA Rosenberg, T Burke, K Elo, MW Feldman, PJ Freidlin, MAM Groenen, J Hillel, A Maki-Tanila, M Tixier-Boichard, A Vignal, K Wimmers, S Weigend (2001) Empirical evaluation of genetic clustering methods using multilocus genotypes from 20 chicken breeds. Genetics 159:699～713.
81. Pang SW, Ritland C, Carlson JE, Cheng KM. Japanese quail microsatellite loci amplified with chicken-specific primers. Anim Genet. 1999 Jun;30(3):195～9.
82. R P M A Crooijmans, R J M Dijkhof, J J van der Poel, M A M Groenen.. New microsatellite markers in chicken optimized for autumated fluorescent genotyping. Animal Genetics. Volume 28, Issue 6, Page 427～437, Dec 1997
83. Reed KM, Chaves LD, Hall MK, Knutson TP, Rowe JA, Torgerson AJ. Microsatellite loci for genetic mapping in the turkey (Meleagris gallopavo). Anim Biotechnol. 2003 Nov;14(2):119～31.
Reed KM, Mendoza KM, Beattie CW. Utility of chicken-specific microsatellite primers for mapping the turkey genome.. Anim Biotechnol. 1999;10(3):137～41.
85. Reed KM, Mendoza KM, Beattie CW.. Comparative analysis of microsatellite loci in chicken and turkey. Genome. 2000 Oct;43(5):796～802.
86. Ricard-FII, Rouvier-R, Genetic variation in weights of carcass parts in poultry and its application to selection. Revista Avicultura. 1975,19(3)-261～266.
87. Romano MN, Weigendt S. Analysis of genetic relationships between various populations of domestic and jungle fowl using microsatellite markers. Poult Sci. 2001 Aug;80(8):1057～63.
88. S. K. J. McConnell, D. A. Dawson, A. Wardle, T. Burke.. The isolation and mapping of 19 tetranucleotide microsatellite markers in the chicken. Animal Genetics. Volume 30, Issue 3, Page 183～189, Jun 1999
89. Schmid M, Nanda I, Guttenbach M, Steinlein C, Hoehn M, Schartl M, Haaf T, Weigend S, Fries R, Buerstedde JM, Wimmers K, Burt DW, Smith J, A'Hara S, Law A, Griffin DK, Bumstead N, Kaufman J, Thomson PA, Burke T, Groenen MA, Crooijmans RP, Vignal A, Fillon V, Morisson M,Pitel F, Tixier-Boichard M, Ladjali-Mohammedi K, Hillel J, Maki-Tanila A, Cheng HH, Delany ME, Burnside J, Mizuno S.. First report on chicken genes and chromosomes 2000. Cytogenet Cell Genet. 2000;90(3-4):169～218.
90. Sewalem,D.M.Morrice,A.Law,D.Windsor,C.S.Haley,C.O.N.Ikeobi,D.W.Burt,and P.M.Hock ing. Mapping of Quantitative Trait Loci for Body Weight at Three, Six, and Nine Weeks of Age in a Broiler Layer Cross. 2002 Poultry Science 81;1775～1781.
91. Van Kaam J.B.C.H.M., J.A.M. van Arendonk, M.A.M. Groenen, H. Bovenhuis, A.L.J. Verei jken, R.P.M.A. Crooijmans, J.J. van der Poel and A. Veenendaal Whole genome scan for quantitative trait loci affecting body weight in chickens using a three generation design Livestock Production Science 1998,54, 133～150
92. VAN. KAAM,et. al. Whole Genome Scan in Chickens for Quantitative Trait Loci Affecting Growth and Feed Efficiency. 1999, Poultry Science 78,15～23.
93. VAN·KAAM et al, Whole Genome Scan in Chickens for Quantitative Trait Loci Affecting Carcass Traits. Poultry Science, 78,1091～1099.
94. Vanhala T, Tuiskula-naavisto M, Elo K, Vilkki J, Maki-Tanila A. Evaluation of genetic variability and genetic distances between eight chicken lines using microsatellite markers. Poult Sci. 1998 Jun;77(6):783～90.
2．杜晓惠，邱祥聘．白丝羽乌骨鸡的选育进展与冠型效应．四川农业大学学报．2002，2(3)：253～255
3．段子渊．丝羽乌骨鸡蛋重和冠型对孵化率影响的研究．甘肃畜牧兽医．1997，27(4)：1～4
4．冯登祯，刘红霞．DNA分子遗传标记技术及其研究进展．宁夏农学院院报．2001，22(3)：80～83
5．耿照玉，姜潤深．淮南麻黄鸡血清酯酶多态性与屠宰性能及肉质的关系．中国畜牧兽医学报．2003，23(1)：82～83
6．宫桂芬，孙会，仇宝琴，程光潮，王力，段章雄．褐壳蛋鸡17个品种鸡血型测试报告．动物科学与动物医学．2002，19(4)：14～17
7．顾亚玲，陈伟民．张惠茹．闫宏．血液生化指标在养鸡业杂种优势利用中的研究．中国畜牧杂志．2003，39(1)：36～37
8．胡刚安，文伯珍．性连锁矮小基因对黄羽肉鸡饲料转化率的影响．四川农业大学学报．1995，13(3)
9．胡刚安，杨纯芬．优质黄羽肉鸡羽速与经济性状的关系研究．广东农业科学．1995，(4)：1～3
10．黄慎钊，李宛平．鸡的血型及其应用．甘肃畜牧兽医．1989，(3)：23～27
11．黄银花，胡晓湘，邓学梅，徐慰倬，李宁，冯继东，孙汉，吴常信．利用多重PCR进行鸡全基因组扫描。自然科学进展，2001，11(9)：950～953
12．贾玉艳，陈宏．SNP分子标记的研究及应用．黄牛杂志．2003，29(1)：42～44
13．简承松，杨明常．快慢羽基因对贵州黄鸡早期性状的效应研究．西南农业学报．1991，4(3)：39～43
14．金海国，姜成国，白红星，李双峰．分子遗传标记及其分析技术的研究进展．宁夏农学院学报．2001，22(3)：80～83
15．金深逊等．乌蒙黄鸡乌骨鸡肉用性能研究，第九次全国家禽学术讨论会论文集．1999，96～98
16．康湘涛，宋素芳．蛋鸡羽色类型与繁殖性状的关系．河南农业大学学报．1998，32(2)：189～192
17．黎怀星．控制快慢羽的基因及其多效性．中国家禽．1989，(5)：36～38
18．李中平，关丽华．肉鸡抗病力与生产性能的关系．吉林农业大学学报．1996，18(4)：66～68
19．刘娟，戴国俊．鸡MHC单倍型与马立克氏病抗性关系的研究．上海畜牧兽医通讯．1993，(3)：23～27
20．刘新华，周艳．丝羽乌骨鸡肉用新品系生长发育性能选育效果分析．第十一次全国家禽学术讨论会论文集．2003：213～216．
21．刘益平．分子遗传标记在家禽育种中的应用．四川畜牧兽医．1999，1：21～22
22．娄义洲，徐寒梅，娄锋，谢璞．武农Ⅰ系乌骨鸡快慢羽系羽毛生长速度与体重关系的研究．云南畜牧兽医．2001，(4)：3～4
23．马吉飞，陈万芳．鸡血型系统对马立克氏病肿瘤形成的影响．中国预防兽医学报．1999，21(4)：268～271
24．宁中华，李吉祥．dW基因对褐壳蛋鸡生产性能影响的研究．中国家禽．1994，(6)：21～22
25．宁中华，李吉祥．快慢羽对蛋鸡生产性能影响研究．当代畜牧．1990，(4)：7～8
26．欧阳建华，熊建华，孙汉，林媛媛，王珠才，周燮．羽速基因对万载康乐黄鸡肉用性能的影响．江西农业大学学报．2002，24(4)：508～512
27．潘学华．节粮矮小型蛋鸡与京白939蛋鸡对比试验报告．畜禽业。2003，(9)：30～31
28．仇宝琴，宫桂芬，傅先强，孙会，程光潮．抗马立克氏病新品系选育Ⅲ．第四代雏鸡MDV攻毒试验．中国畜牧杂志．2003，39(1)：20～21
29．任军，黄路生，罗明．分子遗传标记技术及其在动物遗传育种中的应用．江西农业大学学报．1997，19(4)：14～19
30．石兴娣，张正旺，刘凌云．三种马鸡的核型及染色体G-带带型．动物学报．2001，47(3)：280～284
31．舒鼎铭，杨纯芬．矮小型基因(dW)对地方鸡种繁殖性能的影响．中国畜牧杂志．1999，35(6)：16～17
32．宋素芳，康相涛，孙桂荣，王彦彬，竹学军．固始鸡快慢羽纯系的选育及自别雌雄效果研究．华中农业大学学报．2003，22(4)：374～377
33．王建荣，张德福．鸡血型研究的进展．国外畜牧学：猪与禽．1989，(6)：55～60
34．王金玉，龚允陈，陈国宏，陈宽维．鸡的DNA指纹与屠宰性能的相关性研究，遗传学报，1999，26(4)，324～328。
35．王偕根，陈国宏，张学余，傅筑荫，徐琪，李碧春．鹿苑鸡核型及其与生产性能的相关性
研究．中国家禽．2003，25(6)：7～9
36．韦凤英，廖玉英，刘明君，罗蒙和，覃仕善．冠面积选择对提高地方鸡生产性能的意义．广西畜牧兽医．2003，19(2)：78～79
37．韦来红，陆应林等．徐海鸡屠宰性能及肌肉品质的测定．第十次全国家禽学术讨论会论文集．2001
38．吴晓林，项可宁．优质黄羽肉鸡伴性快慢羽基因效应研究．山东家禽．1992，5(2)：3～6
39．谢金防，丁进才．羽速基因对崇仁麻鸡蛋质性状的影响．动物科学与动物医学．2000，17(6)：22～23
40．谢金防，刘林秀．快慢羽基因对崇仁麻鸡精液品质的影响．江西畜牧兽医杂志．2000，(2)：7～7
41．徐宁迎，傅衍．C．Looft．N．Reinsch．E．Kalm．多重聚合酶链反映筛选方法的研究。畜牧兽医学报，2001，32(2)：108～112
42．徐琪，张学余，谢恺舟，李碧春，陈国宏．萧山鸡血浆胆固醇含量及其与屠宰性能相关性分析．四川畜牧兽医．2003．3(4)：18～19
43．徐延生、雷雪芹．河南斗鸡及其杂一代屠体主要经济性状间关系的探讨．第十次全国家禽学术讨论会论文集．2001
44．颜炳学，李宁，邓学梅，胡晓湘，刘兆良，赵兴波，连正兴，吴常信．鸡类胰岛索生长因子—Ⅱ基因单核苷酸多态与生长、屠体性状相关性的研究．遗传学报，2002，29(1)；30～33．
45．叶湘海，戴国俊单冠变异与鸡产蛋性能关系的研究．辽宁畜牧兽医．1996，(1)：6～7
46．余其兴，H．H霍巴特．黑水鸡与家鸡染色体带型同源性比较研究．动物学报．1990，36(2)：194～198
47．曾燕如，黄敏仁，王明庥．一种新的分子标记—单核苷酸多态(SNP)．南京林业大学学报(自然科学版)．2003，27(3)：84～88
48．张保生，庞云龙．泰和鸡生长发育屠宰性能及肉品品质的测定．天津畜牧兽医．1998．15(3：)7～8
49．郑华．优质黄羽肉鸡生长发育及肉用性状的遗传研究．四川农业大学．1999年硕士学位论文．
50．周海龙，朱庆．丝羽乌骨鸡早期生长发育及肉用性能的研究．第十一次全国家禽学术讨论会论文集．2003：209～212．
51．朱新产，王宝维，张庭荣，赵德峰，韩月花．四种同工酶在寿×斗杂交鸡中表达变化的研
究，农业生物技术学报．2001，9(2)：175～177
53. Cheng HH, Crittenden LB. Microsatellite markers for genetic mapping in the chicken. Poult Sci. 1994 Apr;73(4):539～546.
54. Cheng HH, Levin I, Vallejo RL, Khatib H, Dodgson JB, Crittenden LB, Hillel J. Development of a genetic map of the chicken with markers of high utility. Poult Sci. 1995 Nov;74(11):1855～74.
55. Cheng HH. Mapping the chicken genome..Poult Sci. 1997 Aug;76(8):1101～7.
56. Cheng HJ, Yue YS, Fan XZ, Zhang CS, Du LX. Analysis of genetic diversity of Shandong indigenous chicken breeds using microsatellite marker. Yi Chuan Xue Bao. 2003 Sep;30(9):855～60.
57. Crooijmans RP, Dijkhof RJ, van der Poel JJ, Groenen MA. New microsatellite markers in chicken optimized for automated fluorescent genotyping. Anim Genet. 1997 Dec;28(6):427～37.
58. Crooijmans RP, van der Poel JJ, Groenen MA. Functional genes mapped on the chicken genome. Anim Genet. 1995 Apr;26(2):73～8.
59. Crooijmans RP, van Kampen AJ, van der Poel JJ, Groenen MA. Highly polymorphic microsatellite markers in poultry. Anim Genet. 1993 Dec;24(6):441～443.
60. Crooijmans RP, van Kampen AJ, van der Poel JJ, Groenen MA. New microsatellite markers on the linkage map of the chicken genome. J Hered. 1994 Sep-Oct;85(5):410～3.
61. Crooijmans RP, van Oers PA, Strijk JA, van der Poel JJ, Groenen Preliminary linkage map of the chicken (Gallus domesticus) genome based on microsatellite markers: 77 new markers mapped. Poult Sci. 1996 Jun;75(6):746～54.
62. Crooijmans, R.P.M.A., A.B.F. Groen, A.J.A. van Kampen, S. van der Beek, J.J. van der Poel and M.A.M. Groenen (1996) Microsatellite polymorphism in commercial broiler and layer lines using pooled blood samples. Poultry Science 75, 904～909
63. Crooijmans, R.P.M.A., P.A.M. van Oers, J.A. Strijk, J.J. van der Poel and M.A.M. Groenen Preliminary linkage map of the chicken (Gallus domesticus) genome based om microsatellite markers: 77 new markers mapped. Poultry science 1996.75, 746～754
64. Dawson D, McConnell S, Wardle A, Gibbs M, Burke TCharacterization and mapping of
15 novel chicken microsatellite loci. Anim Genet. 1998 Apr;29(2):159～60
65. Dranchak PK, Chaves LD, Rowe JA, Reed KM. Turkey microsatellite loci from an embryonic cDNA library..Poult Sci. 2003 Apr;82(4):526～31.
66. Groenen, M.A.M., Cheng, H.H., Bumstead, N., Benkel, B., Briles, E., Burt, D.W., Burke, T., Dodgson, J., Hillel, J., Lamont, S., Ponce de Leon, F.A., Smith, G., Soller, M., Takahashi, H. and Vignal, A.. A consensus linkage map of the chicken genome. Genome Research 2000.10, 137～147
67. Groenen, M.A.M., R.P.M.A. Crooijmans, A. Veenendaal, H.H. Cheng, M. Siwek and J.J. van der Poel A comprehensive microsatellite linkage map of the chicken genome. Genomics 1998.49, 265～274
68. Hamoen, F.F.A., J.B.C.H.M. van Kaam, M.A.M. Groenen, A.L.J. Vereijken and H. Bovenhuis Detection of genes on the Z-chromosome affecting growth and feathering in broilers. Poultry Science 2001.80:527～534
69. HANS H. CHENG Microsatellite Markers for Genetic Mapping in the Chicken, 1994 Poultry Science 73;539～546.
70. J. Herbergs, M. Siwek, R. P. M. A. Crooijmans, J. J. Van der Poel, M. A. M. Groenen. Multicolour fluorescent detection and mapping of AFLP markers in chicken (Gallus domesticus). Animal Genetics. Volume 30, Issue 4, Page 274～285, Aug 1999
71. J.J. Zhu, et, al, Screening for Highly Heterozygous Chickens in Outbred Commercial Broiler Lines to increase Detection Power for Mapping Quantitative Trait Loci, 2001, Poultry Science 80;6～12.
72. Kaiser MG, Deeb N, Lamont SJ. Microsatellite markers linked to Salmonella enterica serovar enteritidis vaccine response in young F1 broiler-cross chicks. Poult Sci. 2002 Feb;81(2):193～201.
73. Kaiser MG, Yonash N, Cahaner A, Lamont SJ. Microsatellite polymorphism between and within broiler populations. Poult Sci. 2000 May;79(5):626～8.
74. Kayang BB, Inoue-Murayama M, Hoshi T, Matsuo K, Takahashi H, Minezawa M, Mizutani M, Ito S. Genet Sel Evol. Microsatellite loci in Japanese quail and cross-species amplification in chicken and guinea fowl. 2002 Mar-Apr;34(2):233～53.
75. Kayang BB, Inoue-Murayama M, Nomura A, Kimura K, Takahashi H, Mizutani M, Ito S.
Fifty microsatellite markers for Japanese quail. J Hered. 2000 Nov-Dec;91(6):502～5.
76. Khatib H, Genislav E, Crittenden LB, Bumstead N, Soller M. Sequence-tagged microsatellite sites as markers in chicken reference and resource populations. Anim Genet. 1993 Oct;24(5):355～62.
77. M A M Groenen, R P M A Crooijmans, R J M Dijkhof, R Acar, J J van der Poel. Extending the chicken-human comparative map by placing 15 genes on the chicken linkage map. Animal Genetics. Volume 30, Issue 6, Page 418～422, Dec 1999
78. McConnell SK, Dawson DA, Wardle A, Burke T. The isolation and mapping of 19 tetranucleotide microsatellite markers in the chicken. Anim Genet. 1999 Jun;30(3):183～9.
79. N. yonash, H.H. Cheng, J. Hillel, D,E, Heller, and A. Cahaner. DNA Microsatellites Linked to Quantitative Trait Loci Affecting Antibody Response and Survival Rate in Meat -Type Chickens, 2001, poultry Sci, 80,22～28.
80. NA Rosenberg, T Burke, K Elo, MW Feldman, PJ Freidlin, MAM Groenen, J Hillel, A Maki-Tanila, M Tixier-Boichard, A Vignal, K Wimmers, S Weigend (2001) Empirical evaluation of genetic clustering methods using multilocus genotypes from 20 chicken breeds. Genetics 159:699～713.
81. Pang SW, Ritland C, Carlson JE, Cheng KM. Japanese quail microsatellite loci amplified with chicken-specific primers. Anim Genet. 1999 Jun;30(3):195～9.
82. R P M A Crooijmans, R J M Dijkhof, J J van der Poel, M A M Groenen.. New microsatellite markers in chicken optimized for autumated fluorescent genotyping. Animal Genetics. Volume 28, Issue 6, Page 427～437, Dec 1997
83. Reed KM, Chaves LD, Hall MK, Knutson TP, Rowe JA, Torgerson AJ. Microsatellite loci for genetic mapping in the turkey (Meleagris gallopavo). Anim Biotechnol. 2003 Nov;14(2):119～31.
Reed KM, Mendoza KM, Beattie CW. Utility of chicken-specific microsatellite primers for mapping the turkey genome.. Anim Biotechnol. 1999;10(3):137～41.
85. Reed KM, Mendoza KM, Beattie CW.. Comparative analysis of microsatellite loci in chicken and turkey. Genome. 2000 Oct;43(5):796～802.
86. Ricard-FII, Rouvier-R, Genetic variation in weights of carcass parts in poultry and its application to selection. Revista Avicultura. 1975,19(3)-261～266.
87. Romano MN, Weigendt S. Analysis of genetic relationships between various populations of domestic and jungle fowl using microsatellite markers. Poult Sci. 2001 Aug;80(8):1057～63.
88. S. K. J. McConnell, D. A. Dawson, A. Wardle, T. Burke.. The isolation and mapping of 19 tetranucleotide microsatellite markers in the chicken. Animal Genetics. Volume 30, Issue 3, Page 183～189, Jun 1999
89. Schmid M, Nanda I, Guttenbach M, Steinlein C, Hoehn M, Schartl M, Haaf T, Weigend S, Fries R, Buerstedde JM, Wimmers K, Burt DW, Smith J, A'Hara S, Law A, Griffin DK, Bumstead N, Kaufman J, Thomson PA, Burke T, Groenen MA, Crooijmans RP, Vignal A, Fillon V, Morisson M,Pitel F, Tixier-Boichard M, Ladjali-Mohammedi K, Hillel J, Maki-Tanila A, Cheng HH, Delany ME, Burnside J, Mizuno S.. First report on chicken genes and chromosomes 2000. Cytogenet Cell Genet. 2000;90(3-4):169～218.
90. Sewalem,D.M.Morrice,A.Law,D.Windsor,C.S.Haley,C.O.N.Ikeobi,D.W.Burt,and P.M.Hock ing. Mapping of Quantitative Trait Loci for Body Weight at Three, Six, and Nine Weeks of Age in a Broiler Layer Cross. 2002 Poultry Science 81;1775～1781.
91. Van Kaam J.B.C.H.M., J.A.M. van Arendonk, M.A.M. Groenen, H. Bovenhuis, A.L.J. Verei jken, R.P.M.A. Crooijmans, J.J. van der Poel and A. Veenendaal Whole genome scan for quantitative trait loci affecting body weight in chickens using a three generation design Livestock Production Science 1998,54, 133～150
92. VAN. KAAM,et. al. Whole Genome Scan in Chickens for Quantitative Trait Loci Affecting Growth and Feed Efficiency. 1999, Poultry Science 78,15～23.
93. VAN·KAAM et al, Whole Genome Scan in Chickens for Quantitative Trait Loci Affecting Carcass Traits. Poultry Science, 78,1091～1099.
94. Vanhala T, Tuiskula-naavisto M, Elo K, Vilkki J, Maki-Tanila A. Evaluation of genetic variability and genetic distances between eight chicken lines using microsatellite markers. Poult Sci. 1998 Jun;77(6):783～90.