نقشه‏ یابی ریزماهواره‏ای جایگاه صفات کمّی مرتبط با صفات لاشه روی کروموزوم شماره یک بلدرچین ژاپنی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناس ارشد، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه شهید باهنر کرمان

2 دانشیار، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه شهید باهنر کرمان

چکیده

هدف از انجام پژوهش حاضر، شناسایی جایگاه صفات کمّی (QTL) مرتبط با صفات لاشه روی کروموزوم یک در جمعیت F2 بلدرچین ژاپنی بود. بدین‏ منظور، جمعیتی سه‌نسلی از آمیزش متقابل دو‌سویۀ سفید (تخم‏گذار) و وحشی (گوشتی) بلدرچین ژاپنی ایجاد شد. هشت جفت بلدرچین سفید و وحشی آمیزش داده شد و تعداد 34 پرنده F1 تولید شد. از تلاقی پرندگان F1 تعداد 422 پرنده F2 تولید شد. رکوردهای فنوتیپی وزن اجزای متفاوت لاشۀ پرندگان نسل F2 ثبت شدند. ژنوتیپ همۀ پرندگان هر سه نسل (472) برای هشت نشانگر ریزماهوارۀ موجود روی کروموزوم شمارۀ یک تعیین شد. آنالیز QTL به روش مکان‏یابی درون‌فاصله‏ای مبتنی بر رگرسیون انجام گردید. پس از آنالیز، QTL‏های معنی‏داری برای صفات وزن سینه، وزن لاشه، وزن سر، و درصد سینه شناسایی شد. نتایج نشان داد که یک QTL معنی‏دار با اثر ایمپرینتینگ روی کروموزوم شمارۀ یک وجود دارد که بر وزن سینه به‌عنوان قطعه‌ای با ارزش اقتصادی مؤثر است. واریانس QTL برآورد‌شده در پژوهش حاضر برای QTL‏های با اثرهای افزایشی، غلبه، و ایمپیرینتینگ به‌ترتیب در محدودۀ 8/1–3/2، 2/1–2/2، و 5/0–2/2 درصد بود.

کلیدواژه‌ها


عنوان مقاله [English]

Microsatellite mapping of quantitative trait loci associated with carcass traits on chromosome 1 in Japanese quail

نویسندگان [English]

  • Hasan Moradian 1
  • Ali Esmailizadeh 2
  • Mohammadreza Mohammadabadi 2
1 Graduate M.Sc., Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Iran
2 Associate Professor, Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Iran
چکیده [English]

The purpose of this study was to identify genomic regions of quantitative trait loci (QTL), affecting
carcass traits on chromosome 1 in an F2 population of Japanese quail. For this purpose, a three-generation
resource population was developed by using two distinct Japanese quail strains, wild (meat type) and
white (layer type). Eight pairs of white and wild birds were crossed reciprocally and 34 F1 birds were
produced. The F1 birds were intercrossed to generate 422 F2 offspring. Phenotypic data including weight
of carcass parts were collected on F2 birds. All of the animals from three generations (472 birds) were
genotyped for eight microsatellite markers on chromosome 1. QTL analysis was performed with least
squares interval mapping method fitting three various statistical models. Significant QTL were identified
for breast weight, carcass weight, head weight and percentage of breast. There was also evidence for
imprinted QTL affecting breast weight, a carcass part of high economic value, on chromosome 1. The
proportion of the F2 phenotypic variation explained by the significant additive, dominance and imprinted
QTL effects ranged from 1.8 to 2.3, 1.2 to 3.3 and 0.5 to 2.2 percent, respectively.

کلیدواژه‌ها [English]

  • Carcass traits
  • F2 design
  • Japanese quail
  • microsatellite markers
  • QTL mapping
1 . Atzmon G, Blum S, Feldman M, Cahaner A, Lavi U and Hillel J (2008) QTLs detected in a multigenerational resource chicken population. Heredity. 99(5): 528-538.
2 . Atzmon G, Ronin YI, Korol A, Yonash N, Cheng H and Hillel J (2006) QTLs associated with growth traits and abdominal fat weight and their interactions with gender and hatch in commercial meat-type chickens. Animal Genetics. 37(4): 352-358.
3 . Baron EE, Moura AS, Ledur MC, Pinto LF, Boschiero C, Ruy DC, Nones K, Zanella EL, Rosário MF, Burt DW and Coutinho LL (2010) QTL for percentage of carcass and carcass parts in a broiler x layer cross. Animal Genetics. 42(2): 117-124.
4 . Bassam BJ, Caetano-Anollés G and Gresshoff PM (1991) Fast and sensitive silver staining of DNA in polyacrylamide gels. Analytical Biochemistry. 196(1): 80-83.
5 . Churchill GA and Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics. 138(3): 963-971.
6 . De Koning DJ, Haley CS, Windsor D, Hocking PM, Griffin H, Morris A, Vincent J and Burt DW (2004) Segregation of QTL for production traits in commercial meat-type chickens. Genetics Research. 83(3): 211-220.
7 . Esmailizadeh AK, Baghizadeh A and Ahmadizadeh M (2012) Genetic mapping of quantitative trait loci affecting bodyweight on chromosome 1 in a commercial strain of Japanese quail. Animal Production Science. 52(1): 64-66.
8 . Groenen MA, Cheng HH, Bumstead N, Benkel BF, Briles WE, Burke T, Burt DW, Crittenden LB, Dodgson J, Hillel J, Lamont S, de Leon AP, Soller M, Takahashi H and Vignal A (2000) A consensus linkage map of the chicken genome. Genome Research. 10(1): 137-147.
9 . Haley CS, Knott SA and Elsen JM (1994) Mapping quantitative trait loci in crosses between outbred lines using least squares. Genetics. 136(3): 1195-1207.
10 . Ikeobi CON, Woolliams JA, Morrice DR, Law A, windsor D, Burt DW and Hocking PM (2004) Quantitative trait loci for meat yield and muscle distribution in a broiler layer cross. Livestock Production Science. 87(1): 143-151.
11 . Jennen DG, Vereijken AL, Bovenhuis H, Crooijmans RM, van der Poel JJ and Groenen MA (2005) Confirmation of quantitative trait loci affecting fatness in chickens. Genetics Selection Evolution. 37(2): 215-228.
12 . Kayang BB, Fillon V, Inoue-Murayama M, Miwa M, Leroux S, Fève K, Monvoisin JL, Pitel F, Vignoles M, Mouilhayrat C, Beaumont C, Ito S, Minvielle F and Vignal A (2006) Integrated maps in quail (Coturnix japonica) confirm the high degree of synteny conservation with chicken (Gallus gallus) despite 35 million years of divergence. BMC Genomics. 7: 101-119.
13 . Kayang BB, Vignal A, Inoue-Murayama M, Miwa M, Monvoisin JL, Ito S and Minvielle F (2004) A first-generation microsatellite linkage map of the Japanese quail. Animal Genetics. 35(3): 195-200.
14 . Lagarrigue S, Pitel F, Carre W, Abasht B, Le Roy P, Neau A, Amigues Y, Sourdioux M, Simon J, Cogburn L, Aggrey S, Leclercq B, Vignal A and Douaire M (2006) Mapping quantitative trait loci affecting fatness and breast muscle weight in meat-type chicken lines divergently selected on abdominal fatness. Genetics Selection Evolution. 38(1): 85-97.
15 . Lie Z, Cheng L, Fang-yin D and Shou-min F (2010) Mapping of major quantitative trait loci for economic traits of silkworm cocoon. Genetics and Molecular Research. 9(1): 78-88.
16 . McElroy JP, Kim JJ, Harry DE, Brown SR, Dekkers JC and Lamont SJ (2006) Identification of trait loci affecting white meat percentage and other growth and carcass traits in commercial broiler chickens. Poultry Science. 85(4): 593-605.
17 . Miller SA, Dykes DD and Polesky HF (1988) A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Research. 16(3):1215.
18 . Nadaf J, Pitel F, Gilbert H, Duclos MJ, Vignoles F, Beaumont C, Vignal A, Porter TE, Cogburn LA, Aggrey SE, Simon J and Le Bihan-Duval E (2009) QTL for several metabolic traits map to loci controlling growth and body composition in an F2 intercross between high- and low-growth chicken lines. Physiological Genomics. 38(3): 241-249.
19 . Nassar FS, Moghaieb REA, Abdou AM and Stino FKR (2012) Microsatellite markers associated with body and carcass weights in broiler breeders. African Journal of Biotechnology. 11(1): 3514-3521.
20 . Sohrabi SS, Esmailizadeh AK, Baghizadeh A, Moradian H, Mohammadabadi MR, Askari N and Nasirifar E (2012) Quantitative trait loci underlying hatching weight and growth traits in an F2 intercross between two strains of Japanese quail. Animal Production Science. 52(1): 1012-1018.
21 . Tautz D (1989) Hypervariability of simple sequences as a general source for polymorphic DNA markers. Nucleic Acids Research. 17(16): 6463-6471.
22 . Uemoto Y, Sato S, Odawara S, Nokata H, Oyamada Y, Taguchi Y, Yanai S, Sasaki O, Takahashi H, Nirasawa K and Kobayashi E (2009) Genetic mapping of quantitative trait loci affecting growth and carcass traits in F2 intercross chickens. Poultry Science. 88(3): 477-482.
23 . Van Kaam JB, Groenen MA, Bovenhuis H, Veenendaal A, Vereijken AL and Van Arendonk JA (1999) Whole genome scan in chickens for quantitative trait loci affecting carcass traits. Poultry Science. 78(8): 1091-1099.
24 . Zane L, Bargelloni L and Patarnello T (2002) Strategies for microsatellite isolation: a review. Molecular Ecology. 11(1): 1-16.
25 . Zhan A, Bao Z, Lu W, Hu X, Peng W, Wang M and Hu J (2007) Development and characterization of 45 novel microsatellite markers for sea cucumber (Apostichopus japonicus). Molecular Ecology Notes. 7(6): 1345-1348.