miR-23 has been identified as a blood biomarker useful for estrus identification in Indian river buffaloes ()

Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11(10):R106. https://doi.org/10.1186/gb-2010-11-10-r106.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Anfossi S, Babayan A, Pantel K, Calin GA. Clinical utility of circulating non-coding RNAs—an update. Nat Rev Clin Oncol. 2018;15(9):541–63. https://doi.org/10.1038/s41571-018-0035-x.

Article  PubMed  Google Scholar 

Bhatia T, Nayan V, Singh R, Singh C, Bhardwaj A, Kumar S, et al. An alternative buffalo urine-based non-invasive early estrus test using wheat and mung bean seed germination. Indian J Anim Res. 2021;55(11):1279–85. https://doi.org/10.18805/IJAR.B-4237.

Article  Google Scholar 

Chandel R, Singh D, Onteru SK. Comparative cell free salivary miRNA profile in Bubalus bubalis between diestrus and estrus stages. bioRxiv. 2024 https://doi.org/10.1101/2024.09.08.611677

Chang L, Zhou G, Soufan O, Xia J. miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology. Nucleic Acids Research. 2020;48(W1):W244-51. https://doi.org/10.1093/nar/gkaa467.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chen Y, Wang X. miRDB: an online database for prediction of functional microRNA targets. Nucleic Acids Res. 2020;48(D1):D127–31. https://doi.org/10.1093/nar/gkz757.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Felekkis K, Papaneophytou C. The circulating biomarkers league: combining miRNAs with cell-free DNAs and proteins. Int J Mol Sci. 2024;25(6):3403. https://doi.org/10.3390/ijms25063403.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Fricke PM, Carvalho PD, Giordano JO, Valenza A, Lopes G, Amundson MC. Expression and detection of estrus in dairy cows: the role of new technologies. Animal. 2014;8:134–43. https://doi.org/10.1017/S1751731114000299.

Article  PubMed  Google Scholar 

Hebbar A, Chandel R, Rani P, Onteru SK, Singh D. Urinary Cell-Free miR-99a-5p as a potential biomarker for estrus detection in buffalo. Original Res Front Vet Sci. 2021;8:643910. https://doi.org/10.3389/fvets.2021.643910.

Article  Google Scholar 

Hernandez Gifford JA. The role of WNT signaling in adult ovarian folliculogenesis. Reprod. 2015;150(4):R137-48. https://doi.org/10.1530/REP-14-0685.

Article  CAS  Google Scholar 

Holman A, Thompson J, Routly JE, et al. Comparison of oestrus detection methods in dairy cattle. Vet Rec. 2011;169(2):47–47. https://doi.org/10.1136/vr.d2344.

Article  CAS  PubMed  Google Scholar 

Ioannidis J, Donadeu FX. Circulating microRNA profiles during the bovine oestrous cycle. PLoS ONE. 2016;11(6):e0158160. https://doi.org/10.1371/journal.pone.0158160.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kaczmarek MM, Krawczynski K, Najmula J, Reliszko ZP, Sikora M, Gajewski Z. Differential expression of genes linked to the leukemia inhibitor factor signaling pathway during the estrus cycle and early pregnancy in the porcine endometrium. Reprod Biol. 2014;14(4):293–7. https://doi.org/10.1016/j.repbio.2014.06.003.

Article  PubMed  Google Scholar 

Li J, Han X, Wan Y, et al. TAM 2.0: tool for MicroRNA set analysis. Nucleic Acids Res. 2018;46(W1):W180-85. https://doi.org/10.1093/nar/gky509.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Licursi V, Conte F, Fiscon G, Paci P. MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis. BMC Bioinformatics. 2019;20(1):545. https://doi.org/10.1186/s12859-019-3105-x.

Article  PubMed  PubMed Central  Google Scholar 

Lin Y, Sun L, Dai J, et al. Characterization and comparative analysis of whole-transcriptome sequencing in high- and low-fecundity chongming white goat ovaries during the estrus phase. Animals. 2024;14(7):988. https://doi.org/10.3390/ani14070988.

Article  PubMed  PubMed Central  Google Scholar 

Lu T-P, Lee C-Y, Tsai M-H, et al. miRSystem: An Integrated system for characterizing enriched functions and pathways of MicroRNA targets. PLoS ONE. 2012;7(8):e42390. https://doi.org/10.1371/journal.pone.0042390.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lucy MC, Butler ST, Garverick HA. Endocrine and metabolic mechanisms linking postpartum glucose with early embryonic and foetal development in dairy cows. Animal. 2014;8:82–90. https://doi.org/10.1017/S1751731114000482.

Article  CAS  PubMed  Google Scholar 

Manenti I, Ala U, Macchi E, et al. Expression profiles of circulating miRNAs in an endangered piedmontese sheep breed during the estrus cycle. Front Vet Sci. 2024;11:1458463. https://doi.org/10.3389/fvets.2024.1458463.

Article  PubMed  PubMed Central  Google Scholar 

Mondal S, Prakash BS, Palta P. Endocrine aspects of oestrous cycle in buffaloes (Bubalus bubalis): An overview. Asian-Australas J Anim Sci. 2007;20(1):124–31. https://doi.org/10.5713/ajas.2007.124.

Article  CAS  Google Scholar 

Murikipudi, N.S., Singh, P., Kumar, P., Singh, C., Bhardwaj, A., Saxena, N., Nayan, V. Serum amino acids are differentially present in the buffalo estrous cycle. Indian Journal of Animal Research. 2025 1–7. https://doi.org/10.18805/IJAR.B-5528

National Academy of Agricultural Sciences (NAAS). Livestock Improvement through Artificial Insemination. Policy Paper No. 96. New Delhi: National Academy of Agricultural Sciences; 2020. Accessed 09 April 2026. https://naas.org.in/Policy%20Papers/Policy%2096.pdf

Nayan V, Onteru SK, Singh D. Epitope-based in silico peptide design yields peptide-directed antibodies that recognize the buffalo luteinizing hormone. Int J Biol Macromol. 2021;176:260–71. https://doi.org/10.1016/j.ijbiomac.2021.02.083.

Article  CAS  PubMed  Google Scholar 

Nayan V, Sinha ES, Onteru SK, Singh D. A proof-of-concept of lateral flow based luteinizing hormone detection in urine for ovulation prediction in buffaloes. Anal Methods. 2020;12(26):3411–24. https://doi.org/10.1039/D0AY00787K.

Article  CAS  PubMed  Google Scholar 

National Dairy Development Board (NDDB). Artificial Insemination (AI) Services. n.d. Accessed April 09, 2026. https://www.nddb.coop/services/animalbreeding/animalreproduction/ai

Paicu C, Mohorianu I, Stocks M, et al. miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets. Bioinformatics. 2017;33(16):2446–54. https://doi.org/10.1093/bioinformatics/btx210.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pozniak T, Shcharbin D, Bryszewska M. Circulating microRNAs in medicine. Int J Mol Sci. 2022;23(7):3996. https://doi.org/10.3390/ijms23073996.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ravinder R, Kaipa O, Baddela VS, et al. Saliva ferning, an unorthodox estrus detection method in water buffaloes (Bubalus bubalis). Theriogenology. 2016;86(5):1147–55. https://doi.org/10.1016/j.theriogenology.2016.04.004.

Article  CAS  PubMed  Google Scholar 

Salilew-Wondim D, Ahmad I, Gebremedhn S, et al. The expression pattern of micrornas in granulosa cells of subordinate and dominant follicles during the early luteal phase of the bovine estrous cycle. PLoS ONE. 2014;9(9):e106795. https://doi.org/10.1371/journal.pone.0106795.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Singh P, Golla N, Singh P, et al. Salivary miR-16, miR-191 and miR-223: intuitive indicators of dominant ovarian follicles in buffaloes. Mol Genet Genomics. 2017;292(5):935–53. https://doi.org/10.1007/s00438-017-1323-3.

Article  CAS  PubMed  Google Scholar 

Stocks MB, Moxon S, Mapleson D, et al. The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets. Bioinformatics. 2012;28(15):2059–61. https://doi.org/10.1093/bioinformatics/bts311.

Article  CAS 

Comments (0)

No login
gif