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Articles

Novel insights into genome-wide associations in Bos indicus reveal genetic linkages between fertility and growth

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References

  • Albarrán-Portillo B, Pollott GE. The relationship between fertility and lactation characteristics in Holstein cows on United Kingdom commercial dairy farms. J Dairy Sci. 2013; 96(1):635–646.
  • Sewalem A, Miglior F, Kistemaker GJ, et al. Relationship between reproduction traits and functional longevity in Canadian dairy cattle. J Dairy Sci. 2008;91(4):1660–1668.
  • Liu Z, Jaitner J, Reinhardt F, et al. Genetic evaluation of fertility traits of dairy cattle using a multiple-trait animal model. J Dairy Sci. 2008;91(11):4333–4343.
  • Sun C, Madsen P, Lund MS, et al. Improvement in genetic evaluation of female fertility in dairy cattle using multiple-trait models including milk production traits. J Anim Sci. 2010;88(3):871–878.
  • Waldron DF, Morris CA, Baker RL, et al. Maternal effects for growth traits in beef cattle. Livest Prod Sci. 1993;34(1-2):57–70.
  • Lopes FB, Magnabosco CU, Paulini F, et al. Genetic analysis of growth traits in polled Nellore cattle raised on pasture in tropical region using Bayesian approaches. PLoS One. 2013;8(9):e75423.
  • Mu Y, Vander Voort G, Abo-Ismail MK, et al. Genetic correlations between female fertility and postweaning growth and feed efficiency traits in multibreed beef cattle. Can J Anim Sci. 2016;96(3):448–455.
  • Caetano SL, Savegnago RP, Boligon AA, et al. Estimates of genetic parameters for carcass, growth and reproductive traits in Nellore cattle. Livest Sci. 2013;155(1):1–7.
  • Silva AM, Alencar MM, Freitas AR, et al. Heritabilities and genetic correlations for weight and scrotal perimeter of males and reproductive and growth characteristics of females in the Canchim breed. R Bras Zootec. 2000; 29(6):2223–2230.
  • Poncheki JK, Canha MLS, Viechnieski SL, et al. Analysis of daily body weight of dairy cows in early lactation and associations withproductive and reproductive performance. R Bras Zootec. 2015;44(5):187–192.
  • Frischknecht M, Bapst B, Seefried FR, Intergenomics Consortium, et al. Genome-wide association studies of fertility and calving traits in Brown Swiss cattle using imputed whole-genome sequences. BMC Genomics. 2017;18(1):1–13.
  • Terakado APN, Costa RB, De Camargo GMF, et al. Genome-wide association study for growth traits in Nelore cattle. Animal. 2018;12(7):1358–1362.
  • Zhang Z, Ober U, Erbe M, et al. Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies. PLoS One. 2014;9(3):e93017.
  • Khan MS, Rehman Z, Khan MA, et al. Genetic resources and diversity in Pakistani cattle. Pak Vet J. 2008;28(2):95–102.
  • Breed survey. 2013. Estimated Livestock Population breed-wise. Ministry of Agriculture and Farmers Welfare, Department of Animal Husbandry, Dairying and Fisheries, Government of India.
  • Joshi BK, Singh A, Gandhi RS. Performance evaluation, conservation and improvement of Sahiwal cattle in India. Anim Genet Resour Inf. 2001; 31:43–54.
  • Hemme T, Garcia O, Saha A. A review of milk production in India with particular emphasis on small-scale producers. FAO,PPLPI Work Pap No2 20031-58. 2003
  • Ratwan P, Chakravarty AK, Kumar M, et al. Production performance and estimation of genetic parameters of production traits in Sahiwal cattle. Ind J Dairy Sci. 2018;71(6):592–597.
  • Ratwan P, Chakravarty AK, Kumar M. Assessment of relation among production and reproduction traits in Sahiwal cattle at an organized herd of northern India. Biol Rhythm Res. 2019; doi:10.1080/09291016.2019.1628391
  • Sambrook J, Russell DW. Rapid isolation of yeast DNA. Cold Spring Harb Protoc. 2006;doi:10.1101/pdb.prot4039.
  • https://www.nddb.coop/services/animalbreeding/geneticimprovement/genomic. Last accessed on 09-04-2020
  • Purcell S, Chang C. PLINK 1.9. www.cog-genomics.org/plink/1.9/. Last accessed on 09-04-2020
  • Chang CC, Chow CC, Tellier LC, et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015; 4(1):7–015.
  • Villemereuil P. On the relevance of Bayesian statistics and MCMC for animal models. J Anim Breed Genet. 2019;136(5):339–340.
  • Van De Schoot R, Broere JJ, Perryck KH, et al. Analyzing small data sets using Bayesian estimation: The case of posttraumatic stress symptoms following mechanical ventilation in burn survivors. Eur J Psychotraumatol. 2015;6(1):25216.
  • Hadfield JD. MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R package. J Stat Softw. 2010;33(2):1–22.
  • Meyer K. WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML. ).J Zhejiang Univ Sci B. 2007;8(11):815–821.
  • Zhang Z, Ersoz E, Lai CQ, et al. Mixed linear model approach adapted for genome-wide association studies. Nat Genet. 2010;42(4):355–360.
  • Lipka AE, Tian F, Wang Q, et al. GAPIT: genome association and prediction integrated tool. Bioinformatics. 2012;28(18):2397–2399.
  • https://github.com/sahirbhatnagar/manhattanly/. last accessed on 10-04-2020
  • Meredith B, Lynn D, Berry D, et al. A genome-wide association study for somatic cell score using the Illumina high-density bovine beadchip identifies several novel QTL potentially related to mastitis susceptibility. Front Genet. 2013;4:229.
  • Kurz JP, Yang Z, Weiss RB, et al. A genome-wide association study for mastitis resistance in phenotypically well-characterized Holstein dairy cattle using a selective genotyping approach. Immunogenetics. 2019;71(1):35–47.
  • https://www.animalgenome.org/cgi-bin/QTLdb/BT/index. last accessed on 01-09-2020
  • Zimin AV, Delcher AL, Florea L, et al. A whole-genome assembly of the domestic cow, Bos taurus. Genome Biol. 2009;10(4):R42.
  • https://genome.ucsc.edu/. Last accessed on 10-04-2020
  • Szkiba D, Kapun M, von Haeseler A, et al. SNP2GO: functional analysis of genome-wide association studies. Genetics. 2014;197(1):285–289.
  • Baruch-Suchodolsky R, Fischer B. Abeta40, either soluble or aggregated, is a remarkably potent antioxidant in cell-free oxidative systems. Biochemistry. 2009;48(20):4354–4370.
  • Ruder EH, Hartman TJ, Goldman MB. Impact of oxidative stress on female fertility. Curr Opin Obstet Gynecol. 2009;21(3):219–222.
  • Nakano FY, Leão RDBF, Esteves SC. Insights into the role of cervical mucus and vaginal pH in unexplained infertility. Med Express. 2015;2(2):1–8.
  • Guo D, Li S, Behr B, et al. Hypertension and male fertility. World J Mens Health. 2017; 35(2):59–64.
  • Nobles CJ, Mendola P, Mumford SL, et al. Preconception blood pressure levels and reproductive outcomes in a prospective cohort of women attempting pregnancy. Hypertension. 2018;71(5):904–910.
  • Garcia-Segura LM, Lorenz B, DonCarlos LL. The role of glia in the hypothalamus: implications for gonadal steroid feedback and reproductive neuroendocrine output. Reproduction. 2008;135(4):419–429.
  • Li Z, Palaniyandi S, Zeng R, et al. Transfer of IgG in the female genital tract by MHC class I-related neonatal Fc receptor (FcRn) confers protective immunity to vaginal infection. Proc Natl Acad Sci U S A. 2011;108(11):4388–4393.
  • Lyons RA, Saridogan E, Djahanbakhch O. The reproductive significance of human Fallopian tube cilia. Hum Reprod Update. 2006;12(4):363–372.
  • Girardet L, Augière C, Asselin MP, et al. Primary cilia: biosensors of the male reproductive tract. Andrology. 2019; 7(5):588–602.
  • Vordermeier M, Ameni G, Berg S, et al. The influence of cattle breed on susceptibility to bovine tuberculosis in Ethiopia. Comp Immunol Microbiol Infect Dis. 2012;35(3):227–232.
  • Manoj M, Gandhi RS, Raja TV, et al. Genetic parameters of body weights at different ages in Sahiwal heifers. Ind Jour of Anim Rese. 2014;48(3):217–220.
  • Sundrum A. Metabolic disorders in the transition period indicate that the dairy Cows' Ability to Adapt is Overstressed. Animals (Basel)). 2015;5(4):978–1020.
  • Pascottini OB, Probo M, LeBlanc SJ, et al. Assessment of associations between transition diseases and reproductive performance of dairy cows using survival analysis and decision tree algorithms. Prev Vet Med. 2020;176:104908.
  • McNeish D. On using Bayesian methods to address small sample problems. Struct Equ Model. 2016;23(5):750–773.
  • Seidel GE. Brief introduction to whole-genome selection in cattle using single nucleotide polymorphisms. Reprod Fertil Dev. 2010;22(1):138–144.
  • Yodklaew P, Koonawootrittriron S, Elzo MA, et al. Genome-wide association study for lactation characteristics, milk yield and age at first calving in a Thai multibreed dairy cattle population. Agric Nat Resour. 2017; 51(3):223–230.
  • Schmid M, Bennewitz J. Invited review: Genome-wide association analysis for quantitative traits in livestock–a selective review of statistical models and experimental designs. Arch Anim Breed. 2017;60(3):335–346.
  • Joo JWJ, Hormozdiari F, Han B, et al. Multiple testing correction in linear mixed models. Genome Biol. 2016;17(1):1–18.
  • Qanbari S. On the extent of linkage disequilibrium in the genome of farm animals. Front Genet. 2020;10(1304):1–11.
  • Fadista J, Manning AK, Florez JC, et al. The (in) famous GWAS P-value threshold revisited and updated for low-frequency variants. Eur J Hum Genet. 2016;24(8):1202–1205.
  • Kaler AS, Purcell LC. Estimation of a significance threshold for genome-wide association studies. BMC Genomics. 2019;20(1):618.
  • Caballero A, Tenesa A, Keightley PD. The nature of genetic variation for complex traits revealed by GWAS and regional heritability mapping analyses. Genetics. 2015;201(4):1601–1613.
  • Martínez R, Bejarano D, Gómez Y, et al. Genome-wide association study for birth, weaning and yearling weight in Colombian Brahman cattle. Genet Mol Biol. 2017;40(2):453–459.
  • Kamal MM, Van Eetvelde M, Depreester E, et al. Age at calving in heifers and level of milk production during gestation in cows are associated with the birth size of Holstein calves. J Dairy Sci. 2014;97(9):5448–5458.
  • Hoffman PC, Funk DA. Applied dynamics of dairy replacement growth and management. J Dairy Sci. 1992;75(9):2504–2516.
  • Almeida TP, Kern EL, Daltro DDS, et al. Genetic associations between reproductive and linear-type traits of Holstein cows in Brazil. R Bras Zootec. 2017;46(2):91–98.
  • Cole JB, Gaddis KP, Null DJ, et al. Genome-wide association study and gene network analysis of fertility, retained placenta, and metritis in US Holstein cattle. In World. 2018;1:171
  • Mota LF, Lopes FB, Júnior GAF, et al. Genome-wide scan highlights the role of candidate genes on phenotypic plasticity for age at first calving in Nellore heifers. Sci Rep. 2020;10(1):1–13.
  • Gutman GA, Chandy KG, Grissmer S, et al. International Union of Pharmacology. LIII. Nomenclature and molecular relationships of voltage-gated potassium channels. Pharmacol Rev. 2005;57(4):473–508.
  • Yang S, Zhou X, Pei Y, et al. Identification of differentially expressed genes in porcine ovaries at proestrus and estrus stages using RNA-Seq technique. Biomed Res Int. 2018;2018:9150723
  • Brązert M, Kranc W, Celichowski P, et al. Expression of genes involved in neurogenesis, and neuronal precursor cell proliferation and development: Novel pathways of human ovarian granulosa cell differentiation and transdifferentiation capability in vitro. Mol Med Rep. 2020; 21(4):1749–1760.
  • Pegolo S, Cecchinato A, Mele M, et al. Effects of candidate gene polymorphisms on the detailed fatty acids profile determined by gas chromatography in bovine milk. J Dairy Sci. 2016;99(6):4558–4573.
  • Han B, Yuan Y, Liang R, et al. Genetic effects of LPIN1 polymorphisms on milk production traits in dairy cattle. Genes. 2019;10(4):265.
  • Rahbar R, Abdullahpour R, Sefidmazgi AS. Effect of calf birth weight on milk production of Holstein dairy cattle in desert climate. JABB. 2016;4(3):65–70.
  • Hodgkinson K, Forrest LA, Vuong N, Garson K, Djordjevic B, Vanderhyden BC. GREB1 is an estrogen receptor-regulated tumour promoter that is frequently expressed in ovarian cancer. Oncogene. 2018;37(44):5873–5886.
  • Espetvedt Finstad S, Emaus A, Potischman N, et al. Influence of birth weight and adult body composition on 17β-estradiol levels in young women. Cancer Causes Control. 2009;20(2):233–242.
  • Zhang L, Liu J, Zhao F, et al. Genome-wide association studies for growth and meat production traits in sheep. PLoS One. 2013;8(6):e66569.
  • Le TH, Christensen OF, Nielsen B, et al. Genome-wide association study for conformation traits in three Danish pig breeds. Genet Sel Evol. 2017;49(1):12.
  • Neupane M, Geary TW, Kiser JN, et al. Loci and pathways associated with uterine capacity for pregnancy and fertility in beef cattle. PLoS One. 2017;12(12):e0188997.
  • Silva BA, Eler JP, Santana ML, Jr, et al. Genetic association between mature weight and early growth and heifer pregnancy traits in Nellore cattle. Livest Sci. 2018;211:61–65.
  • Yamamoto RT, Nogi Y, Dodd JA, et al. RRN3 gene of Saccharomyces cerevisiae encodes an essential RNA polymerase I transcription factor which interacts with the polymerase independently of DNA template. Embo J. 1996;15(15):3964–3973.
  • Roohani N, Hurrell R, Kelishadi R, et al. Zinc and its importance for human health: An integrative review. J Res Med Sci. 2013;18(2):144–157.
  • Tizioto PC, Meirelles SL, Veneroni GB, et al. A SNP in ASAP1 gene is associated with meat quality and production traits in Nelore breed. Meat Sci. 2012;92(4):855–857.
  • Serão NV, Gonzalez-Pena D, Beever JE, et al. Bivariate genome-wide association analysis of the growth and intake components of feed efficiency. PLoS One. 2013;8(10):e78530.
  • Guan D, Luo N, Tan X, et al. Scanning of selection signature provides a glimpse into important economic traits in goats (Capra hircus). Sci Rep. 2016;6:36372.
  • Moon DH, Segal M, Boyraz B, et al. Poly (A)-specific ribonuclease (PARN) mediates 3′-end maturation of the telomerase RNA component. Nat Genet. 2015;47(12):1482–1488.
  • Welendorf C, Nicoletti CF, de Souza Pinhel MA, et al. Obesity, weight loss, and influence on telomere length: New insights for personalized nutrition. Nutrition. 2019;66:115–121.
  • Doyle JL, Berry DP, Veerkamp RF, et al. Genomic regions associated with muscularity in beef cattle differ in five contrasting cattle breeds. Genet Sel Evol. 2020;52(1):2.
  • Fonseca LFS, Gimenez DFJ, dos Santos Silva DB, et al. Differences in global gene expression in muscle tissue of Nellore cattle with divergent meat tenderness. BMC Genomics. 2017;18(1):1–12.
  • Riihonen R, Supuran CT, Parkkila S, et al. Membrane-bound carbonic anhydrases in osteoclasts. Bone. 2007;40(4):1021–1031.
  • Montfort A, Martin PG, Levade T, et al. FAN (factor associated with neutral sphingomyelinase activation), a moonlighting protein in TNF-R1 signaling. J Leukoc Biol. 2010;88(5):897–903.
  • Smith JL, Wilson ML, Nilson SM, et al. Genome-wide association and genotype by environment interactions for growth traits in US Gelbvieh cattle. BMC Genomics. 2019;20(1):926.
  • Ramayo-Caldas Y, Mármol-Sánchez E, Ballester M, et al. Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs. Genet Sel Evol. 2019;51(1):48.
  • Atorino ES, Hata S, Funaya C, et al. CEP44 ensures the formation of bona fide centriole wall, a requirement for the centriole-to-centrosome conversion. Nat Commun. 2020;11(1):1–15.
  • Wang X, Li N, Liu B, et al. A novel human phosphatidylethanolamine-binding protein resists tumor necrosis factor alpha-induced apoptosis by inhibiting mitogen-activated protein kinase pathway activation and phosphatidylethanolamine externalization. J Biol Chem. 2004;279(44):45855–45864.
  • Wu MH, Rajkovic A, Burns KH, et al. Sequence and expression of testis-expressed gene 14 (Tex14): a gene encoding a protein kinase preferentially expressed during spermatogenesis. Gene Expr Patterns. 2003;3(2):231–236.
  • Stafuzza NB, Costa e Silva EVD, Silva RMDO, et al. Genome‐wide association study for age at puberty in young Nelore bulls. J Anim Breed Genet. 2020;137(2):234–244.
  • Taylor JF, Schnabel RD, Sutovsky P. Review: Genomics of bull fertility. Animal. 2018;12(s1):s172–s183.
  • Liu Y, Tarsounas M, O'regan P, West SC. Role of RAD51C and XRCC3 in genetic recombination and DNA repair. J Biol Chem. 2007;282(3):1973–1979.
  • Alayev A, Salamon RS, Manna S, Schwartz NS, Berman AY, Holz MK. Estrogen induces RAD51C expression and localization to sites of DNA damage. Cell Cycle. 2016;15(23):3230–3239.
  • http://www.fao.org/3/x6533e/x6533e01.htm. last accessed on 24-04-2020
  • Wang P, Drackley JK, Stamey-Lanier JA, Keisler D, Loor JJ. Effects of level of nutrient intake and age on mammalian target of rapamycin, insulin, and insulin-like growth factor-1 gene network expression in skeletal muscle of young Holstein calves. J Dairy Sci. 2014;97(1):383–391.
  • Somashekar L, Selvaraju S, Parthipan S, et al. Comparative sperm protein profiling in bulls differing in fertility and identification of phosphatidylethanolamine‐binding protein 4, a potential fertility marker. Andrology. 2017;5(5):1032–1051.
  • Chen Q, Huang B, Zhan J, et al. Whole-genome analyses identify loci and selective signals associated with body size in cattle. J Anim Sci. 2020;98(3):skaa068.
  • Yang X, Wang L, Wang Q, et al. MiR-183 inhibits osteosarcoma cell growth and invasion by regulating LRP6-Wnt/β-catenin signaling pathway. Biochem Biophys Res Commun. 2018;496(4):1197–1203.
  • Liu C, Gao H, Zhai S, Liu B. Molecular characterization, chromosomal localization, expression profile and association analysis with carcass traits of the porcine dickkopf homolog1 gene. Mol Biol Rep. 2011;38(3):1929–1934.
  • Doyle JL, Berry DP, Veerkamp RF, et al. Genomic regions associated with skeletal type traits in beef and dairy cattle are common to regions associated with carcass traits, feed intake and calving difficulty. Front Genet. 2020;11:20.
  • Salilew-Wondim D, Hölker M, Rings F, et al. Depletion of BIRC6 leads to retarded bovine early embryonic development and blastocyst formation in vitro. Reprod Fertil Dev. 2010;22(3):564–579.

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