Hostname: page-component-77c89778f8-sh8wx Total loading time: 0 Render date: 2024-07-18T11:36:37.798Z Has data issue: false hasContentIssue false

Quantitative trait loci for morphometric and mineral composition traits of the tibia bone in a broiler × layer cross

Published online by Cambridge University Press:  07 January 2019

J. C. Faveri
UFBA, Departamento de Zootecnia, Av. Adhemar de Barros, 500 Salvador, BA 40170-110, Brazil
L. F. B. Pinto
UFBA, Departamento de Zootecnia, Av. Adhemar de Barros, 500 Salvador, BA 40170-110, Brazil
G. M. F. de Camargo
UFBA, Departamento de Zootecnia, Av. Adhemar de Barros, 500 Salvador, BA 40170-110, Brazil
V. B. Pedrosa
UEPG, Departamento de Zootecnia, Av. Carlos Cavalcanti, 4748 Ponta Grossa, PR 84030-900, Brazil
J. O. Peixoto
Embrapa Suínos e Aves, Rodovia BR-153, Km 110, Distrito de Tamanduá, Concórdia, SC 89715-899, Brazil
J. A. P. Marchesi
Embrapa Suínos e Aves, Rodovia BR-153, Km 110, Distrito de Tamanduá, Concórdia, SC 89715-899, Brazil
V. L. Kawski
Embrapa Suínos e Aves, Rodovia BR-153, Km 110, Distrito de Tamanduá, Concórdia, SC 89715-899, Brazil
L. L. Coutinho
USP/ESALQ – Depto. de Zootecnia, Lab. de Biotecnologia Animal, Piracicaba, SP 13418-900, Brazil
M. C. Ledur*
Embrapa Suínos e Aves, Rodovia BR-153, Km 110, Distrito de Tamanduá, Concórdia, SC 89715-899, Brazil
Get access


Many economic losses occur in the poultry industry due to leg fragility. Knowing the genomic regions that influence traits associated with the growth and composition of the leg’s bone can help to improve the selection process leading to increased leg resistance to fracture. The present study aimed to map quantitative trait loci (QTL) for mineral composition and morphometric traits of the tibia in 478 animals from an F2 broiler × layer cross. The measurement of weight, length and width of Tibia was carried out at 42 days of age. Ash, dry matter, levels of calcium (Ca), phosphorus (P), magnesium (Mg), Zinc (Zn) and Calcium:Phosphorus (Ca:P) ratio were also recorded. The population was genotyped for 128 microsatellite markers and one single nucleotide polymorphism, covering 2630 cM of the chicken genome. A likelihood ratio test was performed to find QTLs. Additive and dominance effects of the QTLs were included in the model. In the chromosomes 2 (GGA2), 6 (GGA6), 8 (GGA8), 24 (GGA24) and 26 (GGA26) some suggestive QTLs (P<0.00276) were mapped for tibia weight (GGA2 and GGA26), ash percentage (GGA2 and GGA6), dry matter percentage (GGA2), Ca (GGA8 and GGA24) and Ca:P ratio (GGA8), many of which are close to genes already identified as good candidates for those traits. The suggestive QTL on GGA2 has a pleiotropic effect on ash percentage, dry matter and bone weight, whereas in the GGA8 there seems to be two QTLs, one for Ca and another for Ca:P ratio. Thus, this study identified at least five genomic regions, in different chromosomes, that can be targeted for further research to identify potential mutations influencing the development and composition of leg bones in Gallus gallus.

Research Article
© The Animal Consortium 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)



Present address: USP, Depto de Genética, Vila Monte Alegre, Ribeirão Preto, SP 14049-900, Brazil.


Abasht, B, Pitel, F, Lagarrigue, S, Bihan-Duval, EL, Roy, PL, Demeure, O, Vignoles, F, Simon, J, Cogburn, L, Aggrey, S, Vignal, A and Douaire, M 2006. Fatness QTL on chicken chromosome 5 and interaction with sex. Genetics Selection Evolution 38, 297311.Google Scholar
Adapala, NS and Kim, HKW 2017. A genome-wide transcriptomic analysis of articular cartilage during normal maturation in pigs. Gene 627, 508518.Google Scholar
Ambo, M, Campos, RLR, Moura, ASAMT, Boschiero, C, Rosário, MF, Ledur, MC, Nones, K and Coutinho, LL 2008. Genetic linkage maps of chicken chromosomes 6, 7, 8, 11 and 13 from a Brazilian resource population. Scientia Agricola 65, 447452.10.1590/S0103-90162008000500001Google Scholar
Ambo, M, Moura, AS, Ledur, MC, Pinto, LFB, Baron, EE, Ruy, DC, Nones, K, Campos, RL, Boschiero, C, Burt, DW and Coutinho, LL 2009. Quantitative trait loci for performance traits in a broiler x layer cross. Animal Genetics 40, 200208.10.1111/j.1365-2052.2008.01824.xGoogle Scholar
Ankra-Badu, GA, Bihan-Duval, EL, Mignon-Grasteau, S, Pitel, F, Beaumont, C, Duclos, MJ, Simon, J, Carre, W, Porter, TE, Vignal, A, Cogburn, LA and Aggrey, SE 2010a. Mapping QTL for growth and shank traits in chickens divergently selected for high or low body weight. Animal Genetics 41, 400405.Google Scholar
Ankra-Badu, GA, Shriner, D, Bihan-Duval, EL, Mignon-Grasteau, S, Pitel, F, Beaumont, C, Duclos, MJ, Simon, J, Porter, TE, Vignal, A, Cogburn, LA, Allison, DB, Yi, N and Aggrey, SE 2010b. Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate. BMC Genomics 11, 107.10.1186/1471-2164-11-107Google Scholar
Association of Official Analytical Chemists (AOAC) 1995. Official methods of analysis, 16th edition. AOAC, Arlington, VA, USA.Google Scholar
Dunn, IC, Boswell, T, Friedman-Einat, M, Eshdat, Y, Burt, D and Paton, IR 2000. Mapping of the leptin receptor gene (LEPR) to chicken chromosome 8. Animal Genetics 31, 290.Google Scholar
Dunn, IC, Fleming, RH, McCormack, HA, Morrice, D, Burt, DW, Preisinger, R and Whitehead, CC 2007. A QTL for osteoporosis detected in an F2 population derived from White Leghorn chicken lines divergently selected for bone index. Animal Genetics 38, 4549.Google Scholar
Fornari, MB, Zanella, R, Ibelli, AMG, Fernandes, LT, Cantão, ME, Thomaz-Soccol, V, Ledur, MC and Peixoto, JO 2014. Unraveling the associations of osteoprotegerin gene with production traits in a paternal broiler line. SpringerPlus 3, 682.Google Scholar
Friedman, AW 2006. Important determinants of bone strength beyond bone mineral density. Journal of Clinical Rheumatology 12, 7077.Google Scholar
Gao, Y, Du, ZQ, Feng, CG, Deng, XM, Li, N, Da, Y and Hu, XX 2010. Identification of quantitative trait loci for shank length and growth at different development stages in chicken. Animal Genetics 41, 101104.Google Scholar
González-Cerón, F, Rekaya, R and Aggrey, SE 2015. Genetic analysis of bone quality traits and growth in a random mating broiler population. Poultry Science 94, 883889.Google Scholar
Green, P, Falls, K and Crooks, S 1990. CRI-MAP Program Version 2.4. Retrieved on 10 November 2017 from Scholar
Grupioni, NV, Cruz, VA, Stafuzza, NB, Freitas, LA, Ramos, SB, Savegnago, RP, Peixoto, JO, Ledur, MC and Munari, DP 2015. Phenotypic, genetic and environmental parameters for traits related to femur bone integrity and body weight at 42 days of age in a broiler population. Poultry Science 94, 26042607.Google Scholar
Guo, J, Sun, C, Qu, L, Shen, M, Dou, T, Ma, M, Wang, K and Yang, N 2017. Genetic architecture of bone quality variation in layer chickens revealed by a genome-wide association study. Scientific Reports 7, 45317.Google Scholar
Haley, CS and Knott, SA 1992. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69, 315324.Google Scholar
Han, JC, Qu, HX, Wang, JG, Chen, GH, Yan, YF, Zhang, JL, Hu, FM, You, LY and Cheng, YH 2015. Comparison of the growth and mineralization of the femur, tibia, and metatarsus of broiler chicks. Brazilian Journal of Poultry Science 17, 333340.Google Scholar
Instituto Adolfo Lutz (IAL) 1985. Métodos físico-químicos para análise de alimentos, 3th edition. IAL, São Paulo, SP, Brazil.Google Scholar
Jin, Y, Jing, J, Ye, L, Liu, X, Harris, SE, Hinton, RJ and Feng, JK 2017. Chondrogenesis and osteogenesis are one continuous developmental and lineage defined biological process. Scientific Reports 7, 10020.Google Scholar
Johnsson, M, Rubin, CJ, Höglund, A, Sahlqvist, AS, Jonsson, KB, Kerje, S, Ekwall, O, Kämpe, O, Andersson, L, Jensen, P and Wright, D 2014. The role of pleiotropy and linkage in genes affecting a sexual ornament and bone allocation in the chicken. Molecular Ecology 23, 22752286.10.1111/mec.12723Google Scholar
Kerschnitzki, M, Akiva, A, Shoham, AB, Asscher, Y, Wagermaier, W, Fratzl, P, Addadi, L and Weiner, S 2016. Bone mineralization pathways during the rapid growth of embryonic chicken long bones. Journal of Structural Biology 195, 8292.Google Scholar
Kruglyak, L and Lander, ES 1995. Complete multipoint sib-pair analysis of qualitative and quantitative traits. The American Journal of Human Genetics 57, 439454.Google Scholar
Mangin, B, Goffinet, B and Rebaï, A 1994. Constructing confidence intervals for QTL location. Genetics 138, 13011308.Google Scholar
Mignon-Grasteau, S, Chantry-Darmon, C, Boscher, MY, Sellier, N, Chabault-Dhuit, M, Bihan-Duval, EL and Narcy, A 2016. Genetic determinism of bone and mineral metabolism in meat-type chickens: a QTL mapping study. Bone Reports 5, 4350.Google Scholar
Nones, K, Ledur, MC, Ruy, DC, Baron, EE, Moura, SAMT and Coutinho, LL 2005. Genetic linkage map of chicken chromosome from a Brazilian resource population. Scientia Agricola 62, 1217.Google Scholar
Onyango, EM, Hester, PY, Stroshine, R and Adeola, O 2003. Bone densitometry as an indicator of percentage tibia ash in broiler chicks fed varying dietary calcium and phosphorus levels. Poultry Science 82, 17871791.Google Scholar
Palacios, C 2006. The role of nutrients in bone health, from A to Z. Critical Reviews in Food Science and Nutrition 46, 621628.Google Scholar
Perez-Enciso, M and Misztal, I 2004. Qxpak: a versatile mixed model application for genetical genomics and QTL analyses. Bioinformatics 20, 27922798.Google Scholar
Podisi, BK, Knott, SA, Dunn, IC, Burt, DW and Hocking, PM 2012. Bone mineral density QTL at sexual maturity and end of lay. British Poultry Science 53, 763769.Google Scholar
Ragognetti, BNN, Stafuzza, NB, Silva, TBR, Chud, TCS, Grupioni, NV, Cruz, VAR, Peixoto, JO, Nones, K, Ledur, MC and Munari, DP 2015. Genetic parameters and mapping quantitative trait loci associated with tibia traits in broilers. Genetics and Molecular Research 14, 1754417554.Google Scholar
Rama-Rao, SV, Raju, MVLN, Reddy, MR and Pavani, P 2006. Interaction between dietary calcium and non-phytate phosphorus levels on growth, bone mineralization and mineral excretion in commercial broilers. Animal Feed Science and Technology 131, 133148.Google Scholar
Schmid, M, Nanda, I, Hoehn, H, Schartl, M, Haaf, T, Buerstedde, JM, Arakawa, H, Caldwell, RB, Weigend, S, Burt, DW, Smith, J, Griffin, DK, Masabanda, JS, Groenen, MAM, Croijmans, RPMA, Vignal, A, Fillon, V, Morisson, M, Pitel, F, Vignoles, M, Garrigues, A, Gellin, J, Rodionov, AV, Galkina, SA, Lukina, NA, Ben-ari, G, Blum, S, Hillel, J, Twito, T, Lavi, U, David, L, Feldman, MW, Delany, ME, Conley, CA, Fowler, VM, Hedges, SB, Godbout, R, Katyal, S, Smith, C, Hudson, Q, Sinclair, A and Mizuno, S 2005. Second report on chicken genes and chromosomes 2005. Cytogenetic and Genome Research 109, 415479.Google Scholar
Schreiweis, MA, Hester, PY and Moody, DE 2005. Identification of quantitative trait loci associated with bone traits and body weight in an F2 resource population of chickens. Genetics Selection Evolution 37, 677698.Google Scholar
Sorensen, A-M, Kröber, S, Unte, US, Huijser, P, Dekker, K and Saedler, H 2003. The Arabidopsis ABORTED MICROSPORES (AMS) gene encodes a MYC class transcription factor. The Plant Journal 33, 413423.Google Scholar
Statistical Analysis System 2011. SAS/STAT user’s guide: version 9.3. SAS Institute, Cary, NC, USA.Google Scholar
Whitehead, CC 2004. Overview of bone biology in the egg-laying hen. Poultry Science 83, 193199.10.1093/ps/83.2.193Google Scholar
Zhang, H, Zhang, YD, Wang, SZ, Liu, XF, Zhang, Q, Tang, ZQ and Li, H 2010. Detection and fine mapping of quantitative trait loci for bone traits on chicken chromosome one. Journal of Animal Breeding and Genetics 127, 462468.Google Scholar
Supplementary material: File

Faveri et al. supplementary material

Faveri et al. supplementary material 1

Download Faveri et al. supplementary material(File)
File 67.6 KB