پویش ژنوم برخی صفات تولیدمثلی گاو هلشتاین ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه علوم دامی، دانشکده کشاورزی و منابع طبیعی، دانشگاه تهران، دانشگاه تهران، تهران، ایران

چکیده

هدف از انجام این تحقیق شناسایی نشانگرهای تک نوکلئوتیدی موثر بر برخی صفات تولیدمثلی در گاوهای شیری هلشتاین ابران است. برای این منظور از نمونه مو 150 راس گاو که بین سال­های 1390-1392 در یکی از گاوداری های شرکت فردوس پارس متولد شده بودند، جهت تعیین ژنوتیپ با تراشه حاوی SNP 30108 استفاده شد. بعد از انجام مراحل کنترل کیفیت  داده­ها با استفاده از روش تجزیه واریانس حداقل مربعات با استفاده از رویه GLM، آنالیز GWAS انجام گردید. نتایج آنالیز نشان داد 2 تغییر تک نوکلئوتیدی با صفت فاصله زایش تا  آبستنی و 12 تغییر تک نوکلئوتیدی با صفت فاصله بین اولین و آخرین تلقیح ارتباط معنی­داری (pValue<0.04) داشتند، در صفت روزهای باز  11 و برای صفت تعداد تلقیح به ازای آبستنی نیز 5 تغییر تک نوکلئوتیدی معنی­دار (pValue<0.04) وجود داشت. بررسی ها بعد از مکان یابی ژنها  تعدادیQTL و ژن­های مختلفی را  شناسایی کرد که بر صفات مورد بررسی اثرگذار یا کنترل کننده بودند. از جمله این ژن­ها می­توان به ژن NUF2  در کروموزوم 3 که بر تکامل سلول تخم، ژن ANAPC1  در کروموزوم 11 که بر جنبانی اسپرم، ژن PITX2  در کروموزوم 6 که بر تولید شیر، ژن ELOVL6 در کروموزوم 6 که بر افزایش وزن بدن، موثر است اشاره نمود. به طور کلی می­توان نتیجه گرفت که کروموزوم 3، 6 و 11 دارای تغییرات تک نوکلئوتیدی هستند که در ارتباط قوی تری با صفات تولیدمثلی بوده و در حاشیه همین تغییرات تک نوکلئوتیدی، QTL و ژن هایی یافت شد که مرتبط با صفات تولید مثلی بوده اند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Genome-Wide Association Studies for Selected Reproductive traits in Iranian Holstein cattle

نویسندگان [English]

  • Mostafa Sdeghi
  • Narges Maddahi
  • Ardeshir Nejati-Javaremi
  • Seyed Reza Miraei-Ashtiani
  • Ali Jalil Sarghale
Department of Animal Science, Faculty of Agriculture and Natural Resources, University of Tehran , University of Tehran, Tehran, Iran
چکیده [English]

The aim of this study was to identify Single Nucleotide Polymorphism (SNP) associated with selected reproductive traits in Holstein dairy cattle. The interval between calving and the first insemination, days open, the interval between the first and last insemination, and the number of inseminations per pregnancy were analyzed. For this purpose, the hair samples of 150 cattle, born between 2012-2014 in one of the cattle farms of Ferdous Pars company, were used for genotyping based on 30108 SNPs chip. The data were analyzed using the least square variance analysis method using the GLM. GWAS analysis was performed after controlling the quality of the data. The results identified that 2 and 12 SNPs had a significant correlation with calving to insemination interval and interval between first to last insemination traits(p<0.04), respectively. In addition, 11 SNPs and 5 SNPs showed significant correlation for days open and the number of insemination per conception traits (p<0.04), respectively. In the Post-GWAS stage, some Quantitative Trait Loci (QTL) and various genes were identified that affected or controlled the trait. Out of the related NUF2 gene on chromosome 3 affects the development of the oocyte, ANAPC1 gene on chromosome 11, which affects sperm motility, PITX2 gene in chromosome 6, affects milk production and ELOVL6 gene on chromosome 6 affects body weight. In general, it can be concluded that chromosomes 3, 6 and 11 have SNPs that are more strongly related to reproductive traits.

کلیدواژه‌ها [English]

  • Days open
  • Day to first insemination
  • interval from first to last insemination

Extended Abstract

Introduction

The main goal in dairy industry is to achieve maximum profitability and the goal of animal breeding is to increase the economic efficiency of the system. Today, with vast advances in the field of molecular methods and the identification of a large number of genetic markers, including Single Nucleotide Polymorphic (SNP) markers, livestock breeders can investigate and find QTLs affecting these traits with higher accuracy. Genome-Wide Association Studies (GWAS) as a procedure might be used to find loci correlated with reproductive traits in Iranian Holstein cows.

Materials and methods

For this purpose, the hair samples of 150 cattle, born between 2012-2014 in one of the cattle farms of Ferdous Pars company, were used for genotyping based on 30.108 SNPs chip. The data were analyzed using the least square variance analysis method using the GLM. GWAS analysis was performed after controlling the quality of the data.

 

Results and Discussion

The results showed that 2 SNPs associated with the Days to first services and 12 SNPs associated with Interval from First to Last Insemination (p<0.04). 11 SNPs in the Days Open and 5 SNPs for the Number of Services per Conception showed significant correlation (p<0.04) with these traits. In the Post-GWAS stage, some Quantitative Trait Loci and various genes were identified that affected or controlled the traits. QTLs, were observed near the SNPs related to IFL, DO and NSPC traits, they are related to body weight traits. So the heifer must have reached optimal weight at insemination time. In BTA20, near the SNP association on day to the first insemination, 1 QTL was associated with the stillbirth trait and 1 QTL with high correlation Rump angle trait was observed. Stillbirth and suitable Rump angle can be effective in returning the uterus to normal conditions and improving reproductive traits. Several QTLs affected on mamma structure traits (Udder width, Udder attachment, Udder height), milk production (Milk yield, Milk fat percentage) were observed in BTA20 and BTA27 in the vicinity of SNPs related to DFS traits. So in the near the SNPs identified, there are most QTLs that are correlated with milk production, reproduction, physical index and health traits. Out of the related genes, RHO gene on chromosome 28 is effected on ovulation, the length of the reproductive cycle and fertility. CAMK2D gene in chromosome 6 was related to the number of insemination per conception and fertility techniques. In BTA21, GABRB3 gene was related to the beginning and end of lactation in cows, and lactation is one of the effective traits for the number of inseminations per conception. NUF2 gene on chromosome 3 that affects the development of the oocyte, ANAPC1 gene on chromosome 11, which affects sperm motility, PITX2 gene in chromosome 6, affected on milk production, ELOVL6 gene in chromosome 6 affects increases body weight, CAMK2D gene in chromosome 6 is effective artificial insemination number trait and fertility techniques.

 

Conclusion

it can be concluded that chromosomes 3, 6 and 11 have SNPs that are more strongly related to reproductive traits.

Abdollahi-Arpanahi. R., Carvalho, M. R., Eduardo, S., Ribeiro, E. S. & Francisco Peñagarican, F. (2019). Association of lipid-related genes implicated in conceptus elongation with female fertility traits in dairy cattle. Journal of Dairy Science ,102, 10020–10029
Ahlman, T., Berglund, B., Rydhmer, R. & Strandberg, E. (2011). Culling reasons in organic and conventional dairy herds and genotype by environment interaction for longevity. Journal of Dairy Science, 94,1568–1575.
Almeida, T. P., Kern, E. L., Daltro, D. D., Neto, J. B., McManus, C., Neto, A. T.& Cobuci, J. A. (2017) Genetic associations between reproductive and linear-type traits of Holstein cows in Brazil. Brazilian Journal of Animal Science,46 , 91–98.
Bordbar, F., Mohammadabadi, M., Jensen, J., Xu, L., Li, J. & Zhang, L. (2022). Identification of candidate genes regulating carcass depth and hind leg circumference in simmental beef cattle using Illumina Bovine Beadchip and next-generation sequencing. Animals ,12, 1103-1116.
Brooks, M. A., DePristo, R, M., Durbin, R. E., Handsaker, H. M., Kang, G., Marth ,T., & McVean, G. A. (2012). An integrated map of genetic variation from 1,092 human genomes. Nature ,491,56–65.
Charles, M, A., Amanda, Y., Mortensen H., Mary Anne Y., Potok, Y. & Camper, S. A. (2008). Pitx2 Deletion in Pituitary Gonadotropes is Compatible with Gonadal Development, Puberty, and Fertility. Genesis, 46,507–514.
Chen, S.Y., Schenke, F.S., Melo, A.L.P., Oliveira1, H.R., Pedrosa1, V.B., Araujo, A.C., Melka, M.G., & Brito, L.F. (2022). Identifying pleiotropic variants and candidate genes for fertility and reproduction traits in Holstein cattle via association studies based on imputed whole-genome sequence genotypes. BMC Genomic, 23,331-356.
Cheng, Z., McLaughlin, D. L., Little, M.W., Ferris, C., Salavati, M., Ingvartsen, K.L., Crowe, M.A.& Wathes, D.C. (2023). the GplusE Consortium. Proportion of concentrate in the diet of early lactation dairy cows has contrasting effects on circulating leukocyte global transcriptomic profiles, health and fertility according to parity. International Journal of Molecular Science, 24, 39-52
Costa, R. B.,  Camargo,G. M.F., Diaz, I. D., Irano, N., Dias, M. M., Carvalheiro, R.,. Boligon, A. A., Henrique F. B., Tonhati, O. H. & Albuquerque, L. G. (2015). Genome-wide association study of reproductive traits in Nellore heifers using Bayesian inference. Genetics Selection Evolution, 2015, 47:67.
Daetwyler, H. D., A. Capitan, H. Pausch, P. Stothard, R. Van Binsbergen, R. F. Brøndum, X. Liao, A. Djari, S. C. Rodriguez., & C. Grohs. (2014). Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle. NatureGenetics, 46,858–865.
Dong, W. S., Liu P. F., Liu,Y., Du,Y., Bi1, Y. H & Zhou, G, H. (2016). Immunocytochemical localization of the kinetochore protein Nuf2p on the gametophyte chromosomes of a cultivar of saccharina (Phaeophyta). Frontiers in Marine Science, 7,539260
Druet, T., I. Macleod, & B. Hayes. (2014). Toward genomic prediction from whole-genome sequence data: Impact of sequencing design on genotype imputation and accuracy of predictions. Heredity, 112,39–47.
Fenwick, M. A., Fitzpatrick, R., Kenny, D.A., Diskin, M.G., Patton, J., Murphy, J. J&. Wathes, D. C. (2008) Interrelationships between negative energy balance (NEB) and IGF regulation in liver of lactating dairy cows. Domestic Animal Endocrinology, 34, 31–44.
Fonseca, P. A. S., Schenkel, F. S., & Cánovas, A. (2022). Genome-wide association study using haplotype libraries and repeated-measures model to identify candidate genomic regions for stillbirth in Holstein cattle. American Dairy Science. 105,1314–1326
Galliou, J. M., Kiser, J. N., Oliver, K. F., Seabury, C. M., Moraes, J. G., Burns, G.W. (2020).  Identifcation of loci and pathways associated with heifer conception rate in US Holsteins. Genes (Basel), 11,767-787
Garvey, M. (2018). Mycobacterium avium subspecies paratuberculosis: a possible causative agent in human morbidity and risk to public health safety. Open Veternary Journal. 8, 172–181.
Giasi, H., Pakdel, A., Nejati-Javaremi, A., Mehrabani-Yeganeh, H., Honarvar, M., Gonzales-Ricio, O., Carabano, M.J. & Alend, R. (2011). Genetic variance component for female fertility in Iranian Holstein. Livestock Science,139, 277-280.
Greither, T., Behre, H. M. & Herlyn, H. (2023). Genome-wide association screening determines eripheral players in male fertility maintenance. International Journal of Molecular Science, 24, 524-539.
Guo, J., Jorjani, H.& Carlborg, Ö. A. (2012) genome-wide association study using international breeding-evaluation data identifies major loci affecting production traits and stature in the Brown Swiss cattle breed. BMC Genetic. 2012,13-82.
Hammoud, M.H., El-Zarkouny, S.Z. & Oudah, E.Z.M. (2010). Effect of sire, age at first calving, season and year of calving and parity on reproductive performance of Friesian cows under semiarid conditions in Egypt. Archive Zoot, 13,60-82.
Hoglund, J.K., Sahana, G., Guldbrandtsen, B & Lund, M.S. (2014). Validation of associations for female fertility traits in Nordic Holstein, Nordic Red and Jersey dairy cattle. BMC Genetic, 15,8-15.
Iqbal, A., Ziyi, P., Yu, H., Jialing, L., Haochen, W., Jing, F., Ping, J. & Zhihui, Z. (2022). C4BPA: A novel co-regulator of immunity and fat metabolism in the bovine mammary epithelial cells. Frontiers in Genetics, 31, 1-16.
Jalil Sarghale, A., Moradi Shahrebabak, M., Moradi Shahrebabak, H., Nejati Javaremi, A., Saatchi, M., Khansefid, M., & Miar, Y. (2020) Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data. BMC Genetic, 21,129-143.
Jang, J., Terefe, E., Kim, K., Lee, Y. H., Belay, G., Tijjani, A., Han, J. L., Hanotte, O., & Kim, H. (2021). Population differentiated copy number variation of Bos taurus, Bos indicus and their African hybrids. BMC Genomics, 22,531-542.
Kandel, P., Vanderick, S., Vanrobays, M. L., Vanlierde, A., Dehareng, F.& Froidmont, E., (2014). Consequences of selection for environmental impact traits in dairy cows. Vancouver: Proceedings of the 10th World Congress on Genetics Applied to Livestock Production; 2014.
Kommadath, A., Woelders, H., Beerda, B., Mulder, H. A., Wit, A.C., Veerkamp, R. F., Pas S. W. & Smits, M. A. (2011). Gene expression patterns in four brain areas associate with quantitative measure of estrous behavior in dairy cows. BMC Genomics, 12:200-210.
Liu, A., Wang, Y., Sahana, G., Zhang, Q., Liu, L., Lund, M. S, & Su, G. (2017). Genome-wide association studies for female fertility traits in Chinese and Nordic Holsteins. Scientific Reports, 7, 8487-8499.
McMullan, R. & Nurrish, S.J. (2011) The RHO-1 RhoGTPase modulates fertility and multiple behaviors in adult Cow. elegans. PLoS ONE .6(2): e17265
Mohammadi, A., Alijani, S., Rafat, S. A. & Abdollahi-Arpanahi, R. (2020). Genome-wide association study and pathway analysis for female fertility traits in Iranian Holstein cattle. Annals of Animal Science, 20,825–851.
Moradi, M. H., Nejati-Javaremi, A., Moradi-Shahrbabak, M., Dodds, K. G. and McEwan, J.C. (2012). Genomic scan of selective sweeps in thin and fat tail sheep breeds for identifying of candidate regions associated with fat deposition. BMC Genetics, 13,10-25.
Muller, C.J.C., Potegieter, J.P., Cloete, S.W.P. and Dzama, K. (2014). Non genetic factors affecting fertility traits in South African Holstein cow. South African Journal of Animal Science, 44,54-65.
Nayeri, S., Sargolzaei, M., Abo-Ismail, M.K. & May, N. (2016). Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle. BMC Genetic, 17, 75-87.
Olson, T. A. (1993) Reproductive efficiency of cows of different sizes. Available from: http://animal.ifas.ufl.edu/beef_extension/bcsc/1993/docs/olson.pdf
Sahana, G., Guldbrandtsen, B., Bendixen, C. & Lund, M.S. (2010). Genome-wide association mapping for female fertility traits in Danish and Swedish Holstein cattle. Animal Genetic, 41,579–588.
Sahana, G., Guldbrandtsen, B., Thomsen, B., Holm, L-E, Paniz, F., brondum, R.F., Bendixen, C. & Lund, M.S. (2014). Genome-wide association study using high-density single nucleotide polymorphism arrays and whole-genome sequences for clinical mastitis traits in dairy cattle. Journal of Dairy Science, 97, 7258-7275.
Salilew-Wondim, D., Holker, M., Rings, F., Ulas-Cinar, M., Peippo, J., Tholen, E., Looft, C., Schellander, K. & Tesfaye, D. (2010) Bovine pretransfer endometrium and embryo transcriptome fingerprints as 2 predictors of pregnancy success after embryo transfer. Physiol Genomics. doi:10.1152/physiolgenomics.00047.2010
Serão, N.V.L., González-Peña, D., Beever, J. E., Bollero, G.A., Southey, B. R. & Faulkner, D.B. (2013). Bivariate genome-wide association analysis of the growth and intake components of feed efficiency. PLoS One. 8,78530.
Son, H., Park, M.R., Kim, N., Jang, G.W. & Park J. E. (2021). Genome-wide association study identifies 12 loci associated with body weight at age 8 weeks in korean native chickens. Genes, 12, 1170-1183
Suárez-Vega, A., Gutiérrez-Gil1, B., Klopp, C., Robert-Granie, C., Tosser-Klopp, G & JoséArranz, J. (2015). Characterization and comparative analysis of the milk transcriptome in two dairy sheep breeds using RNA sequencing. Scientific Reports, 10, 1038-1049.
Van den Berg, I., Boichard, D. & Lund, M. S. (2016). Comparing power and precision of within-breed and multi breed genome wide association studies of production traits using whole-genome sequence data for 5 French and Danish dairy cattle breeds. Journal of Dairy Science, 99, 8932-8945.
Widmer, S., Seefried F. R., Rohr, P. v., Häfiger, I. M., Spengeler, M., & Drögemüller, C. (2021). A major QTL at the LHCGR/FSHR locus for multiple birth in Holstein cattle. Genetic Selection Evolution. 2021, 53-57.
Zhang, H., Liu, A., Wang, Y., Luo, H., Yan, X., Guo, X., Li, X., Liu, L.& Su, G. (2021). Genetic Parameters and Genome-wide association studies of eight longevity traits representing either full or partial lifespan in chinese holsteins. Journal of Frontiers in Genetics.25, 1-12.
Zhang, Q., Guldbrandtsen, B., Thomasen, J. R., Lund, M. S. & Sahana, G. (2016). Genome-wide association study for longevity with whole-genome sequencing in 3 cattle breeds. Journal of Dairy Science, 99, 7289-7298.
Zhou, C., Li, C., Cai, W., Liu, S., Yin, H., Shi, S., Zhang, Q. & Zhang, S. (2019). Genome-wide association study for milk protein composition traits in a Chinese Holstein population using a single-step approach. Frontiers in Genetic, 10, 72-84.