Skip to main content
Log in

Genomic analysis of arginine vasopressin gene in riverine buffalo reveals its potential association with silent estrus behavior

  • Original Article
  • Published:
Molecular Biology Reports Aims and scope Submit manuscript

Abstract

Background

Poor estrus expression behavior causes suboptimal reproductive efficiency through poor conception rate. Various signaling pathways are involved in estrus expression but arginine vasopressin (AVP) gene with oxytocin predominantly regulates estrus behavior. This study aimed to perform genomic characterization and evolutionary dynamics of AVP gene through association testing of the novel polymorphic loci and comparative genomic analysis to explore the potential effect of AVP gene on estrus behavior of Nili-Ravi buffaloes.

Methods and results

198 Nili-Ravi buffaloes were screened for the quest of novel polymorphism in the AVP gene. In exon-1, five polymorphic sites were detected including deletion of two (c.47delA and c.57delA) nucleotides that caused drastic variation in subsequent amino acid sequence due to frame shift including functional short peptide of nine residues. The 3-D structure revealed a loss of transmembrane loop between 16 and 31 residues in Nili-Ravi buffalo AVP protein sequence, suggesting that missing loop apparently reduced the gene functionality in Nili-Ravi buffalo by inhibiting cellular reactions and muting the animal estrus cyclicity. Three polymorphisms detected in AVP gene were significantly associated with silent estrus (P < 0.05). The comparative genomic analysis revealed that AVP gene is present on chromosome 14 having one conserved motif (Neurohypophysial) in buffalo.

Conclusions

This study suggested the potential use of polymorphic sites as promising genetic markers for selection of buffaloes with pronounced estrus expression.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Pasha T, Hayat Z (2012) Present situation and future perspective of buffalo production in Asia. J Anim Plant Sci 22(3):250–256

    Google Scholar 

  2. Shi W et al (2021) LC-MS/MS based metabolomics reveal candidate biomarkers and metabolic changes in different buffalo species. Animals 11(2):560

    PubMed  PubMed Central  Google Scholar 

  3. Das GK, Khan FA (2010) Summer anoestrus in buffalo - a review. Reprod Domes Anim 45:483–494

    Google Scholar 

  4. Rehman SU et al (2019) Spectrophotometric calibration and comparison of different semen evaluation methods in nili-ravi buffalo bulls. Pak Vet J 39:568–572

    Google Scholar 

  5. Rehman Su et al (2021) Comparative genomics, evolutionary and gene regulatory regions analysis of casein gene family in bubalus bubalis. Fronti Genetics 12:420

    Google Scholar 

  6. Rehman, Su et al (2020) Genomic identification, evolution and sequence analysis of the heat-shock protein gene family in buffalo. Genes 11(11):1388

    PubMed Central  Google Scholar 

  7. Rehman S et al (2021) Whole-genome sequencing and characterization of buffalo genetic resources: recent advances and future challenges. Animals 11:904

    PubMed  PubMed Central  Google Scholar 

  8. Li Z et al (2020) Fatty acid biosynthesis and transcriptional regulation of Stearoyl-CoA Desaturase 1 (SCD1) in buffalo milk. BMC Genet 21(1):1–10

    Google Scholar 

  9. Borghese A, Mazzi M (2005) Buffalo population and strategies in the world. Buffalo Prod Res 67:1–39

    Google Scholar 

  10. Crowe MA, Mullen MP (2013) Regulation and function of gonadotropins throughout the bovine oestrous cycle. Crowe and Mullen licensee InTech :143

  11. Kommadath A et al (2011) Gene expression patterns in four brain areas associate with quantitative measure of estrous behavior in dairy cows. BMC Genomics 12(1):1–10

    Google Scholar 

  12. Insel TR (2010) The challenge of translation in social neuroscience: a review of oxytocin, vasopressin, and affiliative behavior. Neuron 65(6):768–779

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Van Eerdenburg F, Loeffler H, Van Vliet J (1996) Detection of oestrus in dairy cows: a new approach to an old problem. Veterinary Q 18(2):52–54

    Google Scholar 

  14. Boer H et al (2010) Estrous behavior in dairy cows: identification of underlying mechanisms and gene functions. Animal 4(3):446–453

    CAS  PubMed  Google Scholar 

  15. Russell DW, Sambrook J (2001) Molecular cloning: a laboratory manual, vol 1. Cold Spring Harbor Laboratory Cold Spring Harbor, NY

    Google Scholar 

  16. de Camargo GMF, Aspilcueta-Borquis RR, Fortes MRS, Porto-Neto R, Cardoso DF, Santos DJA, Lehnert SA, Reverter A, Moore SS (2015) Tonhati. Prospecting major genes in dairy buffaloes. BMC Genomics 16:872

    PubMed  PubMed Central  Google Scholar 

  17. Kumar S, Stecher G, Tamura K (2016) MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 33(7):1870–1874

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Chen C et al (2018) TBtools a toolkit for biologists integrating various biological data handling tools with a user-friendly interface. BioRxiv p 289660

  19. Saif ur Rehman T, Feng S, Wu X, Luo A, Lei B, Luobu (2021) Faiz-ul Hassan and Qingyou Liu. Comparative Genomics, evolutionary and gene regulatory regions analysis of casein gene family in bubalus bubalis. Front Genet 12:662609. https://doi.org/10.3389/fgene.2021.662609

    Article  CAS  PubMed  Google Scholar 

  20. Gasteiger E et al (2003) ExPASy: the proteomics server for in-depth protein knowledge and analysis. Nucleic Acids Res 31(13):3784–3788

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Librado P, Rozas J (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25(11):1451–1452

    CAS  PubMed  Google Scholar 

  22. Surya T, Vineeth MR, Sivalingam J, Tantia MS, Dixit SP, Niranjan SK, Gupta ID (2019) Genomewide identification and annotation of SNPs in Bubalus bubalis. Genomics 111(6):1695–1698. https://doi.org/10.1016/j.ygeno.2018.11.021

    Article  CAS  PubMed  Google Scholar 

  23. Liefers SC et al (2005) Genetics and physiology of leptin in periparturient dairy cows. Domest Anim Endocrinol 29(1):227–238

    CAS  PubMed  Google Scholar 

  24. Kobayashi H et al (2006) A novel heterozygous missense mutation in the vasopressin moiety is identified in a Japanese person with neurohypophyseal diabetes insipidus. J Endocrinol Investig 29(3):252–256

    CAS  Google Scholar 

  25. Neumann ID, Landgraf R (2012) Balance of brain oxytocin and vasopressin: implications for anxiety, depression, and social behaviors. Trends Neurosci 35(11):649–659

    CAS  PubMed  Google Scholar 

  26. Kim MJ, Kim YE, Ki CS, Yoo JH (2014) Autosomal dominant familial neurohypophyseal diabetes insipidus caused by a mutation in the arginine-vasopressin II gene in four generations of a Korean family. Ann Pediatr Endocrinol Metab 19(4):220–224. doi:https://doi.org/10.6065/apem.2014.19.4.220

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wahlstrom JT et al (2004) A novel mutation in the preprovasopressin gene identified in a kindred with autosomal dominant neurohypophyseal diabetes insipidus. J Clin Endocrinol Metabolism 89(4):1963–1968

    CAS  Google Scholar 

  28. Schatz KC, Martin CD, Ishiwari K, George AM, Richards JB, Paul MJ (2019) Mutation in the vasopressin gene eliminates the sex difference in social reinforcement in adolescent rats. Physiol Behav 206:125–133. doi: https://doi.org/10.1016/j.physbeh.2019.04.004. Epub 2019 Apr 2. PMID: 30951747

    Article  CAS  PubMed  Google Scholar 

  29. Kim J et al (2013) Sequence variants in oxytocin pathway genes and preterm birth: a candidate gene association study. BMC Med Genet 14(1):1–14

    Google Scholar 

  30. Mileva-Seitz V et al (2013) Interaction between oxytocin genotypes and early experience predicts quality of mothering and postpartum mood. PLoS ONE 8(4):e61443

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Luo X et al (2020) Understanding divergent domestication traits from the whole-genome sequencing of swamp-and river-buffalo populations. Natl Sci Rev 7(3):686–701

    PubMed  PubMed Central  Google Scholar 

  32. Brianna L, Kinley,Robert F, Kyne,Tamijah S, Lawton-Stone,Deena M, Walker,Matthew J, Paul (2021) Long-term consequences of peri-adolescent social isolation on social preference, anxiety-like behaviour, and vasopressin neural circuitry of male and female rats. Europian J Neurosci 54(11):7790–7804. https://doi.org/10.1111/ejn.15520

    Article  CAS  Google Scholar 

  33. Lu X, Duan A, Liang S, Ma X, Deng T (2020) Genomic identification, evolution, and expressionanalysis of collagen genes family in water buffaloduring lactation. Genes 11(5):515. https://doi.org/10.3390/genes11050515

    Article  CAS  PubMed Central  Google Scholar 

  34. Van West D et al (2004) A major SNP haplotype of the arginine vasopressin 1B receptor protects against recurrent major depression. Mol Psychiatry 9(3):287–292

    PubMed  Google Scholar 

  35. Dempster EL et al (2007) Evidence of an association between the vasopressin V1b receptor gene (AVPR1B) and childhood-onset mood disorders. Arch Gen Psychiatry 64(10):1189–1195

    CAS  PubMed  Google Scholar 

  36. Van West D et al (2009) Arginine vasopressin receptor gene-based single-nucleotide polymorphism analysis in attention deficit hyperactivity disorder. Psychiatr Genet 19(2):102–103

    PubMed  Google Scholar 

  37. Schatz KC, Brown LM, Barrett AR et al (2019) Viral rescue of magnocellular vasopressin cells in adolescent Brattleboro rats ameliorates diabetes insipidus, but not the hypoaroused phenotype. Scintific Rep 9:8243. https://doi.org/10.1038/s41598-019-44776-1

    Article  CAS  Google Scholar 

  38. Phelps SM, Okhovat M, Berrio A (2017) Individual differences in social behavior and cortical vasopressin receptor: genetics, epigenetics, and evolution. Front Neurosci 11:537. https://doi.org/10.3389/fnins.2017.00537

    Article  PubMed  PubMed Central  Google Scholar 

  39. Lim MM, Bielsky IF, Young LJ (2005) Neuropeptides and the social brain: potential rodent models of autism. Int J Dev Neurosci 23(2–3):235–243

    PubMed  Google Scholar 

  40. Yan XY, Hua-tuo (2016) Ye-sheng, Distribution of the genetic polymorphism of arginine-vasopressin gene in Guangxi population. Acta Anat Sinica 47(4):528

    Google Scholar 

  41. Løvendahl P, Chagunda M (2009) Genetic variation in estrus activity traits. J Dairy Sci 92(9):4683–4688

    PubMed  Google Scholar 

  42. Adamczyk K et al (2013) Genetic analysis and evaluation of behavioural traits in cattle. Livest Sci 154(1–3):1–12

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

“Conceptualization, MJ, and FH, and AN; resources, MJ; data curation, FH and AN, and MJ; methodology, MJ, and DA; project administration, MJ and FH; Experiment, AN and MJ and DA; software, FH, DA.; supervision, MJ; writing—original draft preparation, FH AN and MJ; writing—review and editing, FH, AN, MJ; “All authors have read and agreed to the published version of the manuscript.”

Corresponding author

Correspondence to Maryam Javed.

Ethics declarations

Conflict of interest

“The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest”.

Ethical approval

Phlebotomy was performed by considering institutional ethical guidelines. The study was approved by the Institutional Review Committee (RC/710).

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Research involving human rights

The study does not involve human tissue samples.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 50.8 kb)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Javed, M., Nadeem, A., Hassan, Fu. et al. Genomic analysis of arginine vasopressin gene in riverine buffalo reveals its potential association with silent estrus behavior. Mol Biol Rep 49, 9315–9324 (2022). https://doi.org/10.1007/s11033-022-07776-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11033-022-07776-5

Keywords

Navigation