1、 d 3 a 8 W M 1 s , f , , . , , y a , , , ( S j i O d “ b Z H , 4 H B B I n l : 2009null12null01T e : ( 1984- ) , o , , V 3 , 1 V Y 3 / L . bY T : , ,p V 3 = , 1 V Y 3 / L . bTel: 010null62890940; Enullmail: simnullmenta vip. sina. com “ : null E B S E / 9 ( 863 9 )( 2008AA10Z146) ; S E S / 9 ( 2006B
2、ADnull014A10; 2006BAD04A16)b W M 1 1 “ ;7 Y V c S F M M 1 1 “ , V r 8 4 “ b “ - , d W M1 1 “ 1 e M 1 s s s E ( , 2001; . , 2002; , 2001)b M 1 s s s y 0 s B ?Z , V V F M s Y | V 8 S ,i t S M 1 1 “ V U F M M 1 1 “ , ; ? Q F = L 1 “ , ? Q F W M 1 1 “ , H e M T , W L . ? p z Z E ( , 1991; ? , 2007; Butt
3、 , 2007;Establishmentof theMethodforDetectingLanzhouFatnulltailedSheepHeart FattyAcidnullbindingProteins (HnullFABP ) GenemRNAwithFluorescenceQuantitativePloymeraseChainReactionXU Hongnullwei1, ZANG Rongnullxin1, YANG Junulltian1, LU Jiannullxiong1, CAI Yong2, SHI Lainullwen1, MA Weinulllong1(1.Coll
4、ege of Life Science and Engineering of Northwest University for Nationalities, Lanzhou 730030, China;2.Science Experimental Center of Northwest University for Nationalities,Lanzhou 730030,China)Abstract: The method for detecting Lanzhou fatnulltailed sheep fatty acidnullbinding proteins gene mRNA ex
5、pression with realtime PCR was developed. By isolated total RNA form the fresh omentum, kidney weeks adipose tissue, muscle and fat tissuesample using improved the extraction Trizol one step method and reverse transcribed to cDNA using random primers as primer,the results show, the standard curve we
6、re CtHnullFABP= - 3.24375x+ 38. 34230 and Ct18S= - 3. 33137x+ 33.4573, had good linenullar dependence, and it was sensitive and specific. T he coefficient of variation values for both intranullexperimental and internullexperinullmental reproducibility ranged less than 1. 8% and 10% respectively. The
7、 method for detecting Lanzhou fatnulltailed sheep HnullFABP gene expression with fluorescence quantitative polymerase chain reaction was developed successfully.Keywords: Lanzhou fatnulltailed sheep; fatty acidnullbinding proteins; SYBR Green I method; real time PCR!88! L . N S $ u D null 2010 M 37 6
8、 Lee , 2007)b Y V d 3 M 1 s , U F W = “ , S d L . 4 I b1null Z E1.1null 试验动物null k 8 327 hd ( 49 h aZ + 30h a 2 d 24h a Z d 30h a U + d 29h a ! ! Z d 25h a : d 110 h a1 d 30h )bq k I (2008) null d q F / b1.2null 典型相关统计分析原理null M 1 s ( , 1991; , 2008) T :null null (S12S- 122 S21- null2i S11 )ai= 0(S1
9、2S- 122 S21- null2i S11 )nulli= 0 Z F S11 S22s Y 1F M 2F M Z x Z ; S12 S21s Y 1FM 2 F M Z x Z ; null2i + ; i nulli s Y M + _ b Z V m + , null2i M M 1 M M1 “ , m + / ? 5 :null null null21 #null22 #null2i #0m + m + _ ,V 7 V F m M 1 M :null null Vi= ixnull null Wi= nulliv M 1 “ A _ Bartlett!2_ b1. 3nul
10、l 数据分析方法null k 3 (q - )8 a(q - )8 a(q - )8 a(q - ) a( g ) 9 ; a a av F s a ; 8 8 a aq q a q a a U a ; d A a a a av C al C a a% a 0 ( , 2008)b s SAS 9. 1 , ( S Summary Statistics ; e M 1“ Correlations Kendall% s taunullb; M1 s Canonical Correlation ( , 2004)b2null T s 2. 1null 各性状间简单相关分析null 8 d 3 a
11、a 8 17 ( S V 1 U , 17 W 74 W M 1“ r A ( P ( X10, kg) 4. 21 F = M 1 , v F s a a Wi A M 1 , M 1 “ , ( 0. 3; 8 F = 7 , r A M1 O M 1 “ v 0. 3 8 (0. 568)aq q ( 0. 342)a (0. 448)a (0. 455), ( 0. 638)a q(0. 347),q q (0. 440) ; 6 q W i A M 1 ( - 0. 454)b( F W e M 1 b 3 W A M 1 , 1 8 (0. 318)a (0. 305), t W
12、r A M1 , M 1 “ ( 0. 1 0. 3 S = ; 3 8 W i A M 1 , 8 8 M 1 “ r 0. 801, r 0. 595, !89! S $ u D null 2010 M 37 6 L . N !90! L . N S $ u D null 2010 M 37 6 r 0. 504, ( 0. 5, Q ( 9 a ( 9 a8 a 8 a r A M 1 ,M 1 “ s Y 0. 421a0. 367a0. 412a0. 367a0. 323bN , 4 W M 1 r A M 1 , s Y ( 9 q q (- 0. 141)a (- 0. 106)
13、, q 8 (- 0. 286)a (- 0. 145)b2.2null 各组间典型相关分析null G Q 3F W M 1 s , T n V 3b V 3 V , 3F W P= 0. 001 / , ( 3 M 1“ r A , B M 1 “ M 1 , = a M 1 “ T 1 l b 3 8 = a M 1 “ B d 9 M s 1%, V I n b 3 8 B M 1 “ 1 (0. 993), M 1 F W 9 M 1 98. 91%, F W B M 1 “ , d 9 M 1 80%b2.3null 各组间典型相关变量的组成null 3 F WA M 1 “ M
14、1 M (V1 , W1;V2, W2) V 4b 3 a 8 B a = M 1 “ ( 9 85% , V (X10) “ K v O (- 1. 038), = M 3 1 “ b 3 8 B M , V1 8 (X1 ) “ K v ( 0. 997), W1 8 ( X11 ) “ K v ( 1. 116), q q Q(- 0. 451), 8 8 aq q 1 Y bnull null 8 B M , V1 (X6) “ K v ( 0. 736); W1 (X15 ) “ K v ( 0. 971); V1 W1 M 1 1 M 1 b = M , V2 ( X10 ) “
15、K v O ( - 0. 859); W2 ( X12 ) (X17) “ K v , s Y 0. 522 0. 525; V2 W2 M 1 1 a M 1 bV 3null 3F W M 1 “ B F = F M 1 “ + D q 9 D q P3 0. 525* 0. 381 0. 623 0. 623 M 1 , M 1 “ s Y 0. 525a0. 350, c V 85%,y N d 8 M ; 3 8 B M 1 “ 0. 993, d 98. 91% ,V M V A W M 1 1 s 8 8 Y , # 7 8 M d 8 M ; 8 M 1 1 8 C a a M
16、 1 , 9 d 86%b 3 L l , 3 V 8 ,7 8 ? q , O Y # 3 r m b k M 1 Z E U F W = “ # M Y , T 3 L l 4 I b4null 8 , M 1 s 1 e M 1 ? Q 3F W M 1 1 “ , H 1 I N b H T V Y V 3 9 q 8 # , ! , 4 6 r m , i O d 4 S G b I D1null ? . M 1 s X Z E J . S / ( ) , 2007, 36: 472.2null , , ; . a M - # d ? Y J . d , 2001, 27( 4) :
17、 12 16.3null . , , Y j , . 8 W M 1 s J . + j v , 2002, 20( 1) : 1 3.4null 3 , / ,o l 珺,等. 11个地方鸡品种性状间的典型相关分 J . $ u D , 2008, 39( 5) : 576 581.5null , .E t M 1 s J . C $ u D ,2003, 10: 14 16.6null Z , g , Z , . a 3 # A W M 1 s J . v ( j 3 S ) , 2003, 29( 3) :300 304.7null , + . SAS for Windows( V8)d
18、 9 s “ d I M . : Y v , 2004.!92! L . N S $ u D null 2010 M 37 6 8null . M - U + d 8 D . 1 : j S / v , 2001.9null y a, . , , . B E S :d 8 J . S $ u D , 2009, 36( 9) : 199 201.10 a , 5 , l , . 1 W M 1s J . v ( j 3 S ) , 2000, 26( 5) : 563566.11 , r . M 1 s d 9 _ 5 J .d 9 ,2008, 25( 7) : 110 112.12 . d
19、 q F / M . : , 2008.13 . d 9 s # M . : j v , 1991.14 Akbas Y, T akma. Canonical correlation analysis for studying therelationship between egg production traits and body weight, eggweight and age at sexual maturity in layers J . Czech Journal ofAnimal Science, 2005, 50( 4) : 163 168.15 Butt M S, Naur
20、een S, Sharif M K, et al. Canonical correlation:a multivariate technique to determine the contribution of variousdependent and independent variables J . International Journal ofFood Science growth traits; meat quality traits;carcass traits;canonical correlation; ordinary correlation d X 70 B ak # V
21、r HimadriPatir null f ) K r null nnull null K 1 : k d X 70( heatshock protein 70, HSP70) % % aB k , H HSP70 H W Vr , F = - j f T E B HSP70, i F HSP70 X H F 8 Western blotting Ek B , d % % HSP70s 0 68 ku, d 7 HSP70 s 0 b W f k ( ELISA) B HSP70, B v HSP70b H W M HSP70 V r T Y , d % % s 3 ) F , 38) ) 48 h, ? 45 ) H q / ) 3 h; ( 42 ) H q/ ) 3 h; 45 ) H q / ) 3 hb3F % s Y 68%a63%a51%;HSP70 s Y 58.30 % % ; ;B ; k ;HSP70null null (原载:Research in Veterinary Science,2010( 88): 258262)!93! S $ u D null 2010 M 37 6 L . N
