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Evaluation of Reproductive Characteristics of 21 Highly Inbred Lines of White Leghorns Divergently Selected for or Segregating in Tumor Resistance

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ABSTRACT
Reproduction performance of 21 inbred experimental lines of White Leghorns was evaluated based on samples of reproduction records over a period of eight consecutive years. Two lines (63 and 72) have been extensively used in studies, especially in research seeking for genetic and epigenetic factors underlying resistance to avian tumor virus-induced diseases in chickens. The other 19 lines are recombinant congenic strains (RCS), which were generated by crossing lines 63 and 72 followed by two consecutive backcrosses to the line 63 and then full-sib mating. In theory, each RCS processes 7/8 of progenitor background line 63 genome and a random sample (1/8) of the progenitor donor line 72 genome. All 21 inbred lines share a common major histocompatibility complex haplotype, B*2. The estimated average fertility of the 21 inbred lines ranged from 72.9% (RCS-J) up to 96.8% (RCS-P). Both progenitor lines 63 and 72 were observed with lower average fertility (82.4% and 81.6%, respectively) in comparison with the RCS except the RCS-J, suggesting a substantial polygenic component underlying the fertility phenotype. The average embryo mortality rate ranged from 14.5% (RCS-P) up to 47.0% (RCS-M). The background line 63 fell at about the middle of the range (28.3%) significantly higher than the donor line 72 (15.7%), which was among the group with the lowest embryo mortality. By definition, hatchability of fertile eggs is reversely correlated with embryo mortality. The average hatchability ranged from 26.5% (RCS-M) up to 66.8% (line 72) while the background line 63 remained (46.6%) at about the middle of the range. The variability of the average embryo mortality and hatchability observed among the 21 inbred lines indicated the two correlated traits also follow polygenic models of inheritance. Findings from this study paves the way for further investigation on genetic and environmental influence over reproductive performance of inbred lines of chickens, and particularly in understanding and improving the reproduction fitness of invaluable genetic resources like these inbred lines.
 
Cite this paper
Kulkarni, G. and Zhang, H. (2015) Evaluation of Reproductive Characteristics of 21 Highly Inbred Lines of White Leghorns Divergently Selected for or Segregating in Tumor Resistance. Open Journal of Animal Sciences, 5, 59-70. doi: 10.4236/ojas.2015.51008.
 
References
[1]King’ori, A.M. (2011) Review of the Factors That Influence Egg Fertility and Hatchabilty in Poultry. International Journal of Poultry Science, 10, 483-492. http://dx.doi.org/10.3923/ijps.2011.483.492
 
[2]Sapp, R.L., Rekaya, R., Misztal, I. and Wing, T. (2004) Male and Female Fertility and Hatchability in Chickens: A Longitudinal Mixed Model Approach. Poultry Science, 83, 1253-1259.
http://dx.doi.org/10.1093/ps/83.8.1253
 
[3]Stromberg, J. (1975) A Guide to Better Hatching. Stromberg Publ. Co., Iowa, 8-25.
 
[4]Wright, D., Rubin, C., Schutz, K., Kerje, S., Kindmark, A., Brandstrom, H., Andersson, L., Pizzari, T. and Jensen, P. (2012) Onset of Sexual Maturity in Female Chickens Is Genetically Linked to Loci Associated with Fecundity and a Sexual Ornament. Reproduction in Domestic Animals, 47, 31-36.
http://dx.doi.org/10.1111/j.1439-0531.2011.01963.x
 
[5]Brah, G.S., Sandhu, J.S. and Chaudhary, M.L. (1991) Heritability Estimates of Components of Incubation Mortality in White Leghorns. British Poultry Science, 32, 871-874.
http://dx.doi.org/10.1080/00071669108417412
 
[6]Lush, J.L. (1945) Animal Breeding Plans. 3rd Edition, Iowa State College Press, Ames.
 
[7]Jimenez, J.A., Hughes, K.A., Alaks, G., Graham, L. and Lacy, R.C. (1994) An Experimental Study of Inbreeding Depression in a Natural Habitat. Science, 266, 271-273.
http://dx.doi.org/10.1126/science.7939661
 
[8]Nordskog, A.W. and Cheng, S. (1988) Inbreeding Effects on Fertility and Hatchability Associated with the Formation of Sublines. Poultry Science, 67, 859-864. http://dx.doi.org/10.3382/ps.0670859
 
[9]Woodard, A.E., Abplanalp, H., Pisenti, J.M. and Snyder, L.R. (1983) Inbreeding Effects on Reproductive Traits in the Ring-Necked Pheasant. Poultry Science, 62, 1725-1730.
http://dx.doi.org/10.3382/ps.0621725
 
[10]MacNeil, M.D. (2009) Invited Review: Research Contributions from Seventy-Five Years of Breeding Line 1 Hereford Cattle at Miles City, Montana. Journal of Animal Science, 87, 2489-2501.
http://dx.doi.org/10.2527/jas.2009-1909
 
[11]Charlesworth, D. and Willis, J.H. (2009) The Genetics of Inbreeding Depression. Nature Reviews Genetics, 10, 783-796. http://dx.doi.org/10.1038/nrg2664
 
[12]Woodard, A.E., Abplanalp, H. and Snyder, L. (1982) Inbreeding Depression in the Red-Legged Partridge. Poultry Science, 61, 1579-1584. http://dx.doi.org/10.3382/ps.0611579
 
[13]Cahaner, A. and Hillel, J. (1980) Estimating Heritability and Genetic Correlation between Traits from Generations F2 and F3 of Self-Fertilizing Species: A Comparison of Three Methods. Theoretical and Applied Genetics, 58, 33-38. http://dx.doi.org/10.1007/BF00264666
 
[14]Bacon, L.D., Hunt, H.D. and Cheng, H.H. (2000) A Review of the Development of Chicken Lines to Resolve Genes Determining Resistance to Diseases. Poultry Science, 79, 1082-1093.
http://dx.doi.org/10.1093/ps/79.8.1082
 
[15]Abplanalp, H., Sato, K., Napolitano, D. and Reid, J. (1992) Reproductive Performance of Inbred Congenic Leghorns Carrying Different Haplotypes for the Major Histocompatibility Complex. Poultry Science, 71, 9-17. http://dx.doi.org/10.3382/ps.0710009
 
[16]Falconer, D.S. and Mackay, T.F.C. (1996) Introduction to Quantitative Genetics. 4th Edition, Longman Group Ltd., London.
 
[17]Threadgill, D.W., Miller, D.R., Churchill, G.A. and de Villena, F.P. (2011) The Collaborative Cross: A Recombinant Inbred Mouse Population for the Systems Genetic Era. ILAR Journal, 52, 24-31.
http://dx.doi.org/10.1093/ilar.52.1.24
 
[18]Abplanalp, H. (1992) Inbred Lines as Genetic Resources of Chickens. Poultry Science, 4, 29-39.
 
[19]Sasakura, Y., Inaba, K., Satoh, N., Kondo, M. and Akasaka, K. (2009) Ciona intestinalis and Oxycomanthus japonicus, Representatives of Marine Invertebrates. Experimental Animals, 58, 459-469. http://dx.doi.org/10.1538/expanim.58.459
 
[20]Stone, H.A. (1975) Use of Highly Inbred Chickens in Research. USDA Agriculture Research Service Technical Bulletin No. 1514, Washington DC.
 
[21]Driver, J.P., Chen, Y.G. and Mathews, C.E. (2012) Comparative Genetics: Synergizing Human and NOD Mouse Studies for Identifying Genetic Causation of Type 1 Diabetes. The Review of Diabetic Studies, 9, 169-187. http://dx.doi.org/10.1900/RDS.2012.9.169
 
[22]SAS (2014) JMP® 11. 2nd Edition, SAS Institute Inc., Cary.
 
[23]Zhou, H. and Lamont, S.J. (1999) Genetic Characterization of Biodiversity in Highly Inbred Chicken Lines by Microsatellite Markers. Animal Genetics, 30, 256-264.
http://dx.doi.org/10.1046/j.1365-2052.1999.00505.x
 
[24]Waters, N.F. and Fontes, A.K. (1960) Genetic Response of Inbred Lines of Chickens to Rous Sarcoma Virus. Journal of the National Cancer Institute, 25, 351-357.
 
[25]Waters, N.F. (1945) Breeding for Resistance and Susceptibility to Avian Lymphomatosis. Poultry Science, 24, 259-269. http://dx.doi.org/10.3382/ps.0240259
 
[26]Chang, S., Dunn, J.R., Heidari, M., Lee, L.F., Song, J., Ernst, C.W., Ding, Z., Bacon, L.D. and Zhang, H. (2010) Genetics and Vaccine Efficacy: Host Genetic Variation Affecting Marek’s Disease Vaccine Efficacy in White Leghorn Chickens. Poultry Science, 89, 2083-2091. http://dx.doi.org/10.3382/ps.2010-00740
 
[27]Bacon, L.D., Hunt, H.D. and Cheng, H.H. (2001) Genetic Resistance to Marek’s Disease. Current Topics in Microbiology and Immunology, 255, 121-141. http://dx.doi.org/10.1007/978-3-642-56863-3_5
 
[28]Bacon, L.D., Fredericksen, T.L., Gilmour, D.G., Fadly, A.M. and Crittenden, L.B. (1985) Tests of Association of Lymphocyte Alloantigen Genotypes with Resistance to Viral Oncogenesis in Chickens. 2. Rous Sarcoma and Lymphoid Leukosis in Progeny Derived from 63 × 151 and 100 × 63 Crosses. Poultry Science, 64, 39-47. http://dx.doi.org/10.3382/ps.0640039
 
[29]Chang, S., Dunn, J.R., Heidari, M., Lee, L.F., Ernst, C., Song, J. and Zhang, H.M. (2012) Vaccine by Chicken Line Interaction Alters the Protective Efficacy against Challenge with a Very Virulent Plus Strain of Marek’s Disease Virus in White Leghorn Chickens. World Journal of Vaccines, 2, 1-11.
 
[30]Chang, S., Xie, Q., Dunn, J.R., Ernst, C.W., Song, J. and Zhang, H.M. (2014) Host Genetic Resistance to Marek’s Disease Sustains Protective Efficacy of Herpesvirus of Turkey in Both Experimental and Commercial Lines of Chickens. Vaccine, 32, 1820-1827. http://dx.doi.org/10.1016/j.vaccine.2014.01.092
 
[31]Dennis, R., Zhang, H.M., Bacon, L.D., Estevez, I. and Cheng, H.W. (2004) Behavioral and Physiological Features of Chickens Diversely Selected for Resistance to Avian Disease. 1. Selected Inbred Lines Differ in Behavioral and Physical Responses to Social Stress. Poultry Science, 83, 1489-1496.
http://dx.doi.org/10.1093/ps/83.9.1489
 
[32]Dennis, R., Zhang, H.M. and Cheng, H.W. (2006) Effect of Selection for Resistance and Susceptibility to Viral Diseases on Concentrations of Dopamine and Immunological Parameters in Six-Week-Old Chickens. Poultry Science, 85, 2135-2140. http://dx.doi.org/10.1093/ps/85.12.2135
 
[33]Zhang, H.M., Hunt, H.D., Kulkarni, G.B., Palmquist, D.E. and Bacon, L.D. (2006) Lymphoid Organ Size Varies among Inbred Lines 63 and 72 and Their Thirteen Recombinant Congenic Strains of Chickens with the Same Major Histocompatibility Complex. Poultry Science, 85, 844-853.
http://dx.doi.org/10.1093/ps/85.5.844
 
[34]Luo, J., Yu, Y., Zhang, H., Tian, F., Chang, S., Cheng, H.H. and Song, J. (2011) Down-Regulation of Promoter Methylation Level of CD4 Gene after MDV Infection in MD-Susceptible Chicken Line. BMC Proceedings, 5, S7.
 
[35]Luo, J., Yu, Y., Chang, S., Tian, F., Zhang, H.M. and Song, J. (2012) DNA Methylation Fluctuation Induced by Virus Infection Differs between MD-Resistant and -Susceptible Chickens. Frontiers in Genetics, 3, 20.
 
[36]Luo, J., Mitra, A., Tian, F., Chang, S., Zhang, H.M., Cui, K., Yu, Y., Zhao, K. and Song, J. (2012) Histone Methylation Analysis and Pathway Predictions in Chickens after MDV Infection. PLOS ONE, 7, e41849. http://dx.doi.org/10.1371/journal.pone.0041849
 
[37]Muir, W.M., Wong, G.K., Zhang, Y., Wang, J., Groenen, M.A., Crooijmans, R.P., Megens, H.J., Zhang, H., Okimoto, R., Vereijken, A., Jungerius, A., Albers, G.A., Lawley, C.T., Delany, M.E., Maceachern, S. and Cheng, H.H. (2008) Genome-Wide Assessment of Worldwide Chicken SNP Genetic Diversity Indicates Significant Absence of Rare Alleles in Commercial Breeds. Proceedings of the National Academy of Sciences of the United States of America, 105, 17312-17317.
http://dx.doi.org/10.1073/pnas.0806569105
 
[38]Yu, Y., Zhang, H., Tian, F., Zhang, W., Fang, H. and Song, J. (2008) An Integrated Epigenetic and Genetic Analysis of DNA Methyltransferase Genes (DNMTs) in Tumor Resistant and Susceptible Chicken Lines. PLOS One, 3, e2672. http://dx.doi.org/10.1371/journal.pone.0002672
 
[39]Yu, Y., Zhang, H., Tian, F., Bacon, L., Zhang, Y., Zhang, W. and Song, J. (2008) Quantitative Evaluation of DNA Methylation Patterns for ALVE and TVB Genes in a Neoplastic Disease Susceptible and Resistant Chicken Model. PLOS One, 3, e1731.
 
[40]Yu, Y., Luo, J., Mitra, A., Chang, S., Tian, F., Zhang, H., Yuan, P., Zhou, H. and Song, J. (2011) Temporal Transcriptome Changes Induced by MDV in Marek’s Disease-Resistant and -Susceptible Inbred Chickens. BMC Genomics, 12, 501. http://dx.doi.org/10.1186/1471-2164-12-501
 
[41]Shapiro, L.S. (2001) The Poultry Industry. In: Stewart Jr., C.E., Yarnell, D., Linsner, K., Yehle, K. and Dalberg, L., Eds., Introduction to Animal Science, Prentice Hall, Upper Saddle River, 379-426.
 
[42]Wolc, A., White, I.M., Olori, V.E. and Hill, W.G. (2009) Inheritance of Fertility in Broiler Chickens. Genetics Selection Evolution, 41, 47. http://dx.doi.org/10.1186/1297-9686-41-47
 
[43]Bakst, M.R. and Bahr, J.M. (1993) Poultry. In: Hafez, E.S.E., Ed., Reproduction in Farm Animals, Lea & Febiger, Malvern, 385-402.
 
[44]Sewalem, A. and Wilhelmson, M. (1999) Genetic Study of Embryonic Mortality in White Leghorn Lines Selected for Egg Production Traits. British Poultry Science, 40, 467-471.
http://dx.doi.org/10.1080/00071669987214
 
[45]Field, T.G. and Taylor, R.E. (2012) Scientific Farm Animal Production: An Introduction to Animal Science. 10th Edition, Pearson Prentice Hall, Boston.
 
[46]Sato, K., Abplanalp, H., Napolitano, D. and Reid, J. (1992) Effects of Heterozygosity of Major Histocompatibility Complex Haplotypes on Performance of Leghorn Hens Sharing a Common Inbred Background. Poultry Science, 71, 18-26. http://dx.doi.org/10.3382/ps.0710018                                                          eww150115lx
 
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