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Relationship between polymorphism within Peptidoglycan Recognition Protein 1 gene (PGLYRP1) and somatic cell counts in milk of Holstein cows

Open Access
|May 2022

References

  1. Baes C., Brand B., Mayer M., Kühn Ch., Liu Z., Reinhardt F., Reinsch N. (2009). Refined positioning of a quantitative trait locus affecting somatic cell score on chromosome 18 in the German Holstein using linkage disequilibrium. J. Dairy Sci., 92: 4046–4054.10.3168/jds.2008-1742
  2. Bennewitz J., Reinsch N., Grohs C., Leveziel H., Malafosse A., Thomsen H., Xu N., Looft C. (2003). Combined analysis of data from two granddaughter designs: A simple strategy for QTL confirmation and increasing experimental power in dairy cattle. Genet. Sel. Evol., 35: 319–338.10.1186/1297-9686-35-3-319
  3. Brand B., Baes C., Mayer M., Reinsch N., Kühn C. (2009). Identification of a two-marker-haplotype on Bos taurus autosome 18 associated with somatic cell score in German Holstein cattle. BMC Genet., 10: 1–13.10.1186/1471-2156-10-50
  4. Clancey E., Kiser J.N., Moraes J.G.N., Dalton J., Spencer T.E., Neibergs H.L. (2019) Genome-wide association analysis and gene set enrichment analysis-SNP identify genes associated with 305-day milk yield in Holstein dairy cows. Anim. Genet., 50: 254–258.10.1111/age.1279230994194
  5. Cole J.B., Wiggans G.R., Ma L., Sonstegard T.S., Lawlor T.J. Jr., Crooker B.A., Van Tassell C.P., Yang J., Wang S., Matukumalli L.K., Da Y. (2011). Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary U.S. Holstein cows. BMC Genomics, 12: 408.10.1186/1471-2164-12-408
  6. Detilleux J., Kastelic J.P., Barkema H.W. (2015). Mediation analysis to estimate direct and indirect milk losses due to clinical mastitis in dairy cattle. Prev. Vet. Med., 118: 449–456.10.1016/j.prevetmed.2015.01.009
  7. Dziarski R. (2004). Peptidoglycan recognition proteins (PGRPs). Mol. Immunol., 40: 877–886.10.1016/j.molimm.2003.10.011
  8. Dziarski R., Gupta D. (2006). The peptidoglycan recognition proteins (PGRPs). Genome Biol., 7: 232.10.1186/gb-2006-7-8-232
  9. Gao J., Yu F.Q,. Luo L.P., He J.Z., Hou R.G., Zhang H.Q., Li S.M., Su J.L., Han B. (2012). Antibiotic resistance of Streptococcus agalactiae from cows with mastitis. Vet. J., 194: 423–424.10.1016/j.tvjl.2012.04.020
  10. Guterbock W.M., Van Eenennaam A.L., Anderson R.J., Gardner I.A., Cullor J.S., Holmberg C.A. (1993). Efficacy of intramammary antibiotic therapy for treatment of clinical mastitis caused by environmental pathogens. J. Dairy Sci., 76: 3437–3444.10.3168/jds.S0022-0302(93)77682-1
  11. Ibeagha-Awemu E.M., Peters S.O., Akwanji K.A., Imumorin I.G., Zhao X. (2016). High density genome wide genotyping-by-sequencing and association identifies common and low frequency SNPs, and novel candidate genes influencing cow milk traits. Sci. Rep., 6: 31109.10.1038/srep31109
  12. Kang D., Liu G., Lundstrom A., Gelius E., Steiner H. (1998). Isolation, characterization, and antimicrobial properties of bovine oligosaccharide-binding. P. Natl. Acad. Sci. USA, 95: 10078–10082.10.1073/pnas.95.17.10078
  13. Kossaibati M.A., Esslemont R.J. (1997). The costs of production diseases in dairy herds in England. Vet. J., 154: 41–51.10.1016/S1090-0233(05)80007-3
  14. Koressaar T., Lepamets M., Kaplinski L., Raime K., Andreson R., Remm M. (2018). Primer3_masker: integrating masking of template sequence with primer design software. Bioinformatics, 34: 1937–1938.10.1093/bioinformatics/bty036
  15. Kühn C., Bennewitz J., Reinsch N., Xu N., Thomsen H., Looft C., Brockmann G.A., Schwerin M., Weimann C., Hiendleder S., Erhardt G., Medjugorac I., Förster M., Brenig B., Reinhardt F., Reents R., Russ I., Averdunk G., Blümel J., Kalm E. (2003). Quantitative trait loci mapping of functional traits in the German Holstein cattle population. J. Dairy Sci., 86: 360–368.10.3168/jds.S0022-0302(03)73614-5
  16. Kurz J.P., Yang Z., Weiss R.B., Wilson D.J., Rood K.A., Liu G.E., Wang Z. (2019). A genome-wide association study for mastitis resistance in phenotypically well-characterized Holstein dairy cattle using a selective genotyping approach. Immunogenetics, 71: 35–47.10.1007/s00251-018-1088-9
  17. Litwińczuk Z., Król J., Brodziak A. (2015). Factors determining the susceptibility of cows to mastitis and losses incurred by producers due to the disease – a review. Ann. Anim. Sci., 15: 819–831.10.1515/aoas-2015-0035
  18. Liu C., Gelius E., Liu G., Steiner H., Dziarski R. (2000). Mammalian peptidoglycan recognition protein binds peptidoglycan with high affinity, is expressed in neutrophils, and inhibits bacterial growth. J. Biol. Chem., 275: 24490–24499.10.1074/jbc.M001239200
  19. Marete A., Sahana G., Fritz S., Lefebvre R., Barbat A., Lund M.S., Guldbrandtsen B., Boichard D. (2018). Genome-wide association study for milking speed in French Holstein cows. J. Dairy Sci., 101: 6205–6219.10.3168/jds.2017-14067
  20. Martin P., Szymanowska M., Zwierzchowski L., Leroux C. (2002). The impact of genetic polymorphisms on the protein composition of ruminant milks. Reprod. Nutr. Dev., 425: 433–459.10.1051/rnd:2002036
  21. McConnel C.S., Crisp S.A., Biggs T.D., Ficklin S.P., Parrish L.M., Trombetta S.C., Sischo W.M., Adams-Progar A. (2020). A fixed cohort field study of gene expression in circulating leukocytes from dairy cows with and without mastitis. Front. Vet. Sci., 7: 559279.10.3389/fvets.2020.559279
  22. Meredith B.K., Kearney F.J., Finlay E.K., Bradley D.G., Fahey A.G., Berry D.P., Lynn D.J. (2012). Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland. BMC Genet., 13: 21.10.1186/1471-2156-13-21
  23. Moore S.G., Pryce J.E., Hayes B.J., Chamberlain A.J., Kemper K.E., Berry D.P., McCabe M., Cormican P., Lonergan P., Fair T., Butler S.T. (2016). Differentially expressed genes in endometrium and corpus luteum of Holstein cows selected for high and low fertility are enriched for sequence variants associated with fertility. Biol. Reprod., 94: 1–11.10.1095/biolreprod.115.132951
  24. Pant S.D., Verschoor C.P., Schenkel F.S., You Q., Kelton D.F., Karrow N.A. (2011). Bovine PGLYRP1 polymorphisms and their association with resistance to Mycobacterium avium ssp. paratuberculosis. Anim. Genet., 42: 354–360.10.1111/j.1365-2052.2010.02153.x
  25. Puckowska P., Borowska A., Szwaczkowski T., Oleński K., Kamiński S. (2019). Effects of a novel missense polymorphism within the SIGLEC5 gene on fertility traits in Holstein-Friesian cattle. Reprod. Domest. Anim., 54: 1163–1168.10.1111/rda.13484
  26. Raina V.S., Kour A., Chakravarty A.K., Vohra V. (2020) Marker-assisted selection vis-à-vis bull fertility: coming full circle-a review. Mol. Biol. Rep., 47: 9123–9133.10.1007/s11033-020-05919-0
  27. Ruegg P.L. (2017). A 100-year review: Mastitis detection, management, and prevention. J. Dairy Sci., 100: 10381–10397.10.3168/jds.2017-13023
  28. Seabury C.M., Womack J.E. (2008). Analysis of sequence variability and protein domain architectures for bovine peptidoglycan recognition protein 1 and Toll-like receptors 2 and 6. Genomics, 92: 235–245.10.1016/j.ygeno.2008.06.005
  29. Seabury C.M., Seabury P.M., Decker J.E., Schnabel R.D., Taylor J.F., Womack J.E. (2010). Diversity and evolution of 11 innate immune genes in Bos taurus taurus and Bos taurus indicus cattle. P. Natl. Acad. Sci. USA, 107: 151–156.10.1073/pnas.0913006107
  30. Seegers H., Fourichon C., Beaudeau F. (2003). Production effects related to mastitis and mastitis economics in dairy cattle herds. Vet. Res., 34: 475–491.10.1051/vetres:2003027
  31. Sender G., Korwin-Kossakowska A., Pawlik A., Galal Abdel Hameed K., Oprządek J. (2013). Genetic basis of mastitis resistance in dairy cattle – a review. Ann. Anim. Sci., 13: 663–673.10.2478/aoas-2013-0043
  32. Siatka K., Sawa A., Krężel-Czopek S. (2018). Effect of postpartum endocrine function, metabolism, and mastitis on fertility in high-yielding cows – a review. Ann. Anim. Sci., 18: 351–359.10.2478/aoas-2018-0008
  33. Trevisi E., Zecconi A., Cogrossi S., Razzuoli E., Grossi P., Amadori M. (2014). Strategies for reduced antibiotic usage in dairy cattle farms. Res. Vet. Sci., 96: 229–233.10.1016/j.rvsc.2014.01.001
  34. Tydell C.C., Yount N., Tran D., Yuan J., Selsted M.E. (2002). Isolation, characterization, and antimicrobial properties of bovine oligosaccharide-binding protein. A microbicidal granule protein of eosinophils and neutrophils. J. Biol. Chem., 277: 19658–19664.10.1074/jbc.M200659200
  35. Tydell C.C., Yuan J., Tran P., Selsted M.E. (2006). Bovine peptidoglycan recognition protein-S: antimicrobial activity, localization, secretion, and binding properties. J. Immunol., 176: 1154–1162.10.4049/jimmunol.176.2.1154
  36. Venselaar H., Te Beek T.A., Kuipers R.K., Hekkelman M.L., Vriend G. (2010). Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfaces. BMC Bioinf., 11: 548.10.1186/1471-2105-11-548
  37. Walawski K. (1999). Genetic aspects of mastitis resistance in cattle. J. Appl. Genet., 40: 117–128.
  38. Wang H.L., Li Z.X., Wang L.J., He H., Yang J., Chen L., Niu F.B., Liu Y., Guo J.Z., Liu X.L. (2013). Polymorphism in PGLYRP-1 gene by PCR-RFLP and its association with somatic cell score in Chinese Holstein. Res. Vet. Sci., 95: 508–514.10.1016/j.rvsc.2013.06.005
  39. Wellnitz O., Bruckmaier R.M. (2012). The innate immune response of the bovine mammary gland to bacterial infection. Vet. J., 192: 148–152.10.1016/j.tvjl.2011.09.013
  40. Zabolewicz T., Barcewicz M., Brym P., Puckowska P., Kamiński S. (2014). Association of polymorphism within LTF gene promoter with lactoferrin concentration in milk of Holstein cows. Pol. J. Vet. Sci., 17: 633–641.10.2478/pjvs-2014-0094
DOI: https://doi.org/10.2478/aoas-2021-0067 | Journal eISSN: 2300-8733 | Journal ISSN: 1642-3402
Language: English
Page range: 593 - 599
Submitted on: Feb 9, 2021
Accepted on: Aug 9, 2021
Published on: May 12, 2022
Published by: National Research Institute of Animal Production
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Tadeusz Zabolewicz, Paulina Puckowska, Paweł Brym, Kamil Oleński, Stanisław Kamiński, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.