Analyze Diet
PeerJ2018; 6; e5718; doi: 10.7717/peerj.5718

Phylogenetic analysis of the cytochrome P450 (CYP450) nucleotide sequences of the horse and predicted CYP450s of the white rhinoceros (Ceratotherium simum) and other mammalian species.

Abstract: The plight of the white rhinoceros () and the increasing need of treatment options for injured poaching victims led to the necessity to expand the knowledge on applicable drugs in this endangered species. With very little information available on drug pharmacokinetics in rhino, veterinarians have to rely on information generated from other species. The horse being a closely related species, has served as the model for dose extrapolations. However, from recent research on enrofloxacin and carprofen, the white rhino showed considerable differences in the pharmacokinetic properties of these drugs in comparison to the horse. While the reason for the differences is unknown, a likely cause may be a difference in present cytochrome P450 (CYP450), which may result in the rhino being genetically deficient in certain enzyme families. Methods: For this paper we assess the degree of similarity of the CYP genome sequences across the different species, using BLAT (BLAST-like alignment tool) for the alignment of the nucleotide sequences of the equine CYP450 with potential homologous nucleotide sequences of the published database from white rhinos and other mammalian species (cow, pig, dog, sheep, elephant, mouse and human). Results: The white rhino nucleotide sequences were 90.74% identical to the equine sequences. This was higher than the degree of similarity between any of the other evaluated species sequences. While no specific CYP family were found to be deficient in the published rhino genome, the horse genome contained additional genetic sequence for a larger number of iso-enzymes that were not present in the rhino. Conclusions: In pharmacokinetic study, it is well known that absence of a metabolic enzyme will result in constraints in drug metabolism and drug elimination. While this was our speculation, comparison to the horse and other mammalian species indicate that all the described CYP genes required for metabolism are present within the rhino genome. These results leave functional differences in enzyme activity and a lack of isoenzymes as the likely reason for the constraint in drug metabolism. Despite a more than 90% similarity of the equine and rhino gene sequences, seemingly small differences can have major effects on drug metabolism. Thus, in spite of the close anatomical relationship, the rhino should not simply be treated like a big horse.
Publication Date: 2018-10-09 PubMed ID: 30324017PubMed Central: PMC6183514DOI: 10.7717/peerj.5718Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article presents a comparative study of the genetic sequences involved in drug metabolism within horses and white rhinoceroses, along with other mammalian species. It reveals a significant similarity, but also identifies fundamental differences, between the two closely related species that may explain variations in the effectiveness of drug treatment.

Objectives and Methodology

  • The primary objective of the study was to understand the reason behind the considerable difference in pharmacokinetic properties of drugs, such as enrofloxacin and carprofen, between horses and rhinos.
  • The researchers hypothesized that this difference might stem from variance in the presence of cytochrome P450 (CYP450), a family of enzymes crucial in drug metabolism.
  • To assess this, the authors compared the CYP genome sequences of various species using a BLAT (BLAST-like alignment tool).
  • This tool was used to align nucleotide sequences of the equine CYP450 with potentially similar sequences from rhinos and other mammals (cow, pig, dog, sheep, elephant, mouse, and human).

Findings

  • The analysis revealed that the nucleotide sequences of the white rhino were 90.74% identical to those of the horse, a higher degree of similarity than any other species in the study.
  • Contrary to the initial hypothesis, it was found that no specific CYP family was deficient in the published rhino genome.
  • However, it was observed that the horse genome contained additional genetic sequences for a larger number of iso-enzymes not present in the rhino genome.

Conclusion

  • Even a minor absence of a metabolic enzyme might result in significant constraints in drug metabolism and elimination.
  • Despite the similarity of over 90% between the genetic sequences of horses and rhinos, small differences can have a major impact on drug metabolism.
  • This implies that the lack of iso-enzymes or functional differences in enzyme activity might be responsible for the constraint in drug metabolism, contrary to the assumed deficiency in certain enzyme families.
  • Given these results, the study suggests that, despite their anatomical similarities, rhinos should not simply be treated like large horses when it comes to drug treatment.

Cite This Article

APA
Leiberich M, Marais HJ, Naidoo V. (2018). Phylogenetic analysis of the cytochrome P450 (CYP450) nucleotide sequences of the horse and predicted CYP450s of the white rhinoceros (Ceratotherium simum) and other mammalian species. PeerJ, 6, e5718. https://doi.org/10.7717/peerj.5718

Publication

ISSN: 2167-8359
NlmUniqueID: 101603425
Country: United States
Language: English
Volume: 6
Pages: e5718
PII: e5718

Researcher Affiliations

Leiberich, Marion
  • Department of Companion Animal Clinical Studies, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa.
Marais, Hendrik Johannes
  • Saving the Survivors, Pretoria, South Africa.
Naidoo, Vinny
  • Department of Paraclinical Science, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa.

Conflict of Interest Statement

The authors declare that they have no competing interests.

References

This article includes 43 references
  1. Anzenbacher P, Anzenbacherová E. Cytochromes P450 and metabolism of xenobiotics.. Cell Mol Life Sci 2001 May;58(5-6):737-47.
    pubmed: 11437235doi: 10.1007/pl00000897google scholar: lookup
  2. Archibald AL, Bolund L, Churcher C, Fredholm M, Groenen MA, Harlizius B, Lee KT, Milan D, Rogers J, Rothschild MF, Uenishi H, Wang J, Schook LB. Pig genome sequence--analysis and publication strategy.. BMC Genomics 2010 Jul 19;11:438.
    doi: 10.1186/1471-2164-11-438pmc: PMC3017778pubmed: 20642822google scholar: lookup
  3. Archibald AL, Cockett NE, Dalrymple BP, Faraut T, Kijas JW, Maddox JF, McEwan JC, Hutton Oddy V, Raadsma HW, Wade C, Wang J, Wang W, Xun X. The sheep genome reference sequence: a work in progress.. Anim Genet 2010 Oct;41(5):449-53.
  4. Edgar RC. MUSCLE: a multiple sequence alignment method with reduced time and space complexity.. BMC Bioinformatics 2004 Aug 19;5:113.
    doi: 10.1186/1471-2105-5-113pmc: PMC517706pubmed: 15318951google scholar: lookup
  5. Emslie RH, Milliken T, Talukdar B, Ellis S, Keryn A, Knight MH. African and Asian Rhinoceroses—status, conservation and trade. 2016.
  6. Estabrook RW. A passion for P450s (rememberances of the early history of research on cytochrome P450).. Drug Metab Dispos 2003 Dec;31(12):1461-73.
    doi: 10.1124/dmd.31.12.1461pubmed: 14625342google scholar: lookup
  7. Felsenstein J. CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP.. Evolution 1985 Jul;39(4):783-791.
    doi: 10.2307/2408678pubmed: 28561359google scholar: lookup
  8. Fink-Gremmels J. Implications of hepatic cytochrome P450-related biotransformation processes in veterinary sciences.. Eur J Pharmacol 2008 May 13;585(2-3):502-9.
    doi: 10.1016/j.ejphar.2008.03.013pubmed: 18417118google scholar: lookup
  9. Fisslthaler B, Popp R, Kiss L, Potente M, Harder DR, Fleming I, Busse R. Cytochrome P450 2C is an EDHF synthase in coronary arteries.. Nature 1999 Sep 30;401(6752):493-7.
    doi: 10.1038/46816pubmed: 10519554google scholar: lookup
  10. Furge LL, Guengerich FP. Cytochrome P450 enzymes in drug metabolism and chemical toxicology: An introduction.. Biochem Mol Biol Educ 2006 Mar;34(2):66-74.
    doi: 10.1002/bmb.2006.49403402066pubmed: 21638641google scholar: lookup
  11. Guengerich FP. Comparisons of catalytic selectivity of cytochrome P450 subfamily enzymes from different species.. Chem Biol Interact 1997 Oct 24;106(3):161-82.
    doi: 10.1016/s0009-2797(97)00068-9pubmed: 9413544google scholar: lookup
  12. Hall BG. Building phylogenetic trees from molecular data with MEGA.. Mol Biol Evol 2013 May;30(5):1229-35.
    doi: 10.1093/molbev/mst012pubmed: 23486614google scholar: lookup
  13. Hunter RP, Isaza R, Koch DE. Oral bioavailability and pharmacokinetic characteristics of ketoprofen enantiomers after oral and intravenous administration in Asian elephants (Elephas maximus).. Am J Vet Res 2003 Jan;64(1):109-14.
    doi: 10.2460/ajvr.2003.64.109pubmed: 12518887google scholar: lookup
  14. Ioannides C. Cytochrome p450 expression in the liver of food-producing animals.. Curr Drug Metab 2006 May;7(4):335-48.
    doi: 10.2174/138920006776873544pubmed: 16724924google scholar: lookup
  15. Jiang Y, Xie M, Chen W, Talbot R, Maddox JF, Faraut T, Wu C, Muzny DM, Li Y, Zhang W, Stanton JA, Brauning R, Barris WC, Hourlier T, Aken BL, Searle SMJ, Adelson DL, Bian C, Cam GR, Chen Y, Cheng S, DeSilva U, Dixen K, Dong Y, Fan G, Franklin IR, Fu S, Guan R, Highland MA, Holder ME, Huang G, Ingham AB, Jhangiani SN, Kalra D, Kovar CL, Lee SL, Liu W, Liu X, Lu C, Lv T, Mathew T, McWilliam S, Menzies M, Pan S, Robelin D, Servin B, Townley D, Wang W, Wei B, White SN, Yang X, Ye C, Yue Y, Zeng P, Zhou Q, Hansen JB, Kristensen K, Gibbs RA, Flicek P, Warkup CC, Jones HE, Oddy VH, Nicholas FW, McEwan JC, Kijas J, Wang J, Worley KC, Archibald AL, Cockett N, Xu X, Wang W, Dalrymple BP. The sheep genome illuminates biology of the rumen and lipid metabolism.. Science 2014 Jun 6;344(6188):1168-1173.
    doi: 10.1126/science.1252806pmc: PMC4157056pubmed: 24904168google scholar: lookup
  16. Kent WJ. BLAT--the BLAST-like alignment tool.. Genome Res 2002 Apr;12(4):656-64.
    doi: 10.1101/gr.229202pmc: PMC187518pubmed: 11932250google scholar: lookup
  17. Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences.. J Mol Evol 1980 Dec;16(2):111-20.
    doi: 10.1007/bf01731581pubmed: 7463489google scholar: lookup
  18. KLINGENBERG M. Pigments of rat liver microsomes.. Arch Biochem Biophys 1958 Jun;75(2):376-86.
    doi: 10.1016/0003-9861(58)90436-3pubmed: 13534720google scholar: lookup
  19. Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.. Mol Biol Evol 2016 Jul;33(7):1870-4.
    doi: 10.1093/molbev/msw054pmc: PMC8210823pubmed: 27004904google scholar: lookup
  20. Leiberich M, Krebber R, Hewetson M, Marais J, Naidoo V. A study of the pharmacokinetics and thromboxane inhibitory activity of a single intramuscular dose of carprofen as a means to establish its potential use as an analgesic drug in white rhinoceros.. J Vet Pharmacol Ther 2018 Aug;41(4):605-613.
    doi: 10.1111/jvp.12508pubmed: 29691872google scholar: lookup
  21. Lindberg RL, Negishi M. Alteration of mouse cytochrome P450coh substrate specificity by mutation of a single amino-acid residue.. Nature 1989 Jun 22;339(6226):632-4.
    doi: 10.1038/339632a0pubmed: 2733794google scholar: lookup
  22. Lindblad-Toh K, Wade CM, Mikkelsen TS, Karlsson EK, Jaffe DB, Kamal M, Clamp M, Chang JL, Kulbokas EJ 3rd, Zody MC, Mauceli E, Xie X, Breen M, Wayne RK, Ostrander EA, Ponting CP, Galibert F, Smith DR, DeJong PJ, Kirkness E, Alvarez P, Biagi T, Brockman W, Butler J, Chin CW, Cook A, Cuff J, Daly MJ, DeCaprio D, Gnerre S, Grabherr M, Kellis M, Kleber M, Bardeleben C, Goodstadt L, Heger A, Hitte C, Kim L, Koepfli KP, Parker HG, Pollinger JP, Searle SM, Sutter NB, Thomas R, Webber C, Baldwin J, Abebe A, Abouelleil A, Aftuck L, Ait-Zahra M, Aldredge T, Allen N, An P, Anderson S, Antoine C, Arachchi H, Aslam A, Ayotte L, Bachantsang P, Barry A, Bayul T, Benamara M, Berlin A, Bessette D, Blitshteyn B, Bloom T, Blye J, Boguslavskiy L, Bonnet C, Boukhgalter B, Brown A, Cahill P, Calixte N, Camarata J, Cheshatsang Y, Chu J, Citroen M, Collymore A, Cooke P, Dawoe T, Daza R, Decktor K, DeGray S, Dhargay N, Dooley K, Dooley K, Dorje P, Dorjee K, Dorris L, Duffey N, Dupes A, Egbiremolen O, Elong R, Falk J, Farina A, Faro S, Ferguson D, Ferreira P, Fisher S, FitzGerald M, Foley K, Foley C, Franke A, Friedrich D, Gage D, Garber M, Gearin G, Giannoukos G, Goode T, Goyette A, Graham J, Grandbois E, Gyaltsen K, Hafez N, Hagopian D, Hagos B, Hall J, Healy C, Hegarty R, Honan T, Horn A, Houde N, Hughes L, Hunnicutt L, Husby M, Jester B, Jones C, Kamat A, Kanga B, Kells C, Khazanovich D, Kieu AC, Kisner P, Kumar M, Lance K, Landers T, Lara M, Lee W, Leger JP, Lennon N, Leuper L, LeVine S, Liu J, Liu X, Lokyitsang Y, Lokyitsang T, Lui A, Macdonald J, Major J, Marabella R, Maru K, Matthews C, McDonough S, Mehta T, Meldrim J, Melnikov A, Meneus L, Mihalev A, Mihova T, Miller K, Mittelman R, Mlenga V, Mulrain L, Munson G, Navidi A, Naylor J, Nguyen T, Nguyen N, Nguyen C, Nguyen T, Nicol R, Norbu N, Norbu C, Novod N, Nyima T, Olandt P, O'Neill B, O'Neill K, Osman S, Oyono L, Patti C, Perrin D, Phunkhang P, Pierre F, Priest M, Rachupka A, Raghuraman S, Rameau R, Ray V, Raymond C, Rege F, Rise C, Rogers J, Rogov P, Sahalie J, Settipalli S, Sharpe T, Shea T, Sheehan M, Sherpa N, Shi J, Shih D, Sloan J, Smith C, Sparrow T, Stalker J, Stange-Thomann N, Stavropoulos S, Stone C, Stone S, Sykes S, Tchuinga P, Tenzing P, Tesfaye S, Thoulutsang D, Thoulutsang Y, Topham K, Topping I, Tsamla T, Vassiliev H, Venkataraman V, Vo A, Wangchuk T, Wangdi T, Weiand M, Wilkinson J, Wilson A, Yadav S, Yang S, Yang X, Young G, Yu Q, Zainoun J, Zembek L, Zimmer A, Lander ES. Genome sequence, comparative analysis and haplotype structure of the domestic dog.. Nature 2005 Dec 8;438(7069):803-19.
    doi: 10.1038/nature04338pubmed: 16341006google scholar: lookup
  23. Martignoni M, Groothuis GM, de Kanter R. Species differences between mouse, rat, dog, monkey and human CYP-mediated drug metabolism, inhibition and induction.. Expert Opin Drug Metab Toxicol 2006 Dec;2(6):875-94.
    doi: 10.1517/17425255.2.6.875pubmed: 17125407google scholar: lookup
  24. McAdam RA, Goundis D, Reid KB. A homozygous point mutation results in a stop codon in the C1q B-chain of a C1q-deficient individual.. Immunogenetics 1988;27(4):259-64.
    doi: 10.1007/bf00376120pubmed: 2894352google scholar: lookup
  25. Mortenson J. Determining dosages for antibiotic and anti-inflammatory agents. In: Csuti B, Sargent EL, Bechert US, editors. The Elephant’s Foot: Prevention and Care of Foot Conditions in Captive Asian and African Elephants. Ames: Iowa State University Press; 2001. p. 144.
  26. Nebert DW, Russell DW. Clinical importance of the cytochromes P450.. Lancet 2002 Oct 12;360(9340):1155-62.
    doi: 10.1016/s0140-6736(02)11203-7pubmed: 12387968google scholar: lookup
  27. Nelson DR. Cytochrome P450 nomenclature, 2004.. Methods Mol Biol 2006;320:1-10.
    doi: 10.1385/1-59259-998-2:1pubmed: 16719369google scholar: lookup
  28. Nelson DR, Goldstone JV, Stegeman JJ. The cytochrome P450 genesis locus: the origin and evolution of animal cytochrome P450s.. Philos Trans R Soc Lond B Biol Sci 2013 Feb 19;368(1612):20120474.
    pmc: PMC3538424pubmed: 23297357doi: 10.1098/rstb.2012.0474google scholar: lookup
  29. Payne AH, Hales DB. Overview of steroidogenic enzymes in the pathway from cholesterol to active steroid hormones.. Endocr Rev 2004 Dec;25(6):947-70.
    doi: 10.1210/er.2003-0030pubmed: 15583024google scholar: lookup
  30. . Poaching Statistics. Save the Rhino International 2018.
  31. Schmitz A, Demmel S, Peters LM, Leeb T, Mevissen M, Haase B. Comparative human-horse sequence analysis of the CYP3A subfamily gene cluster.. Anim Genet 2010 Dec;41 Suppl 2:72-9.
  32. Schwarz G. Estimating the dimension of a model. Annals of Statistics 1978;6(2):461–464.
    doi: 10.1214/aos/1176344136google scholar: lookup
  33. Smith HS. Opioid metabolism.. Mayo Clin Proc 2009 Jul;84(7):613-24.
    doi: 10.4065/84.7.613pmc: PMC2704133pubmed: 19567715google scholar: lookup
  34. Tamura K. Estimation of the number of nucleotide substitutions when there are strong transition-transversion and G+C-content biases.. Mol Biol Evol 1992 Jul;9(4):678-87.
  35. Tana LM, Isaza R, Koch DE, Hunter RP. Pharmacokinetics and intramuscular bioavailability of a single dose of butorphanol in Asian elephants (Elephas maximus).. J Zoo Wildl Med 2010 Sep;41(3):418-25.
    doi: 10.1638/2009-0073.1pmc: PMC3886631pubmed: 20945638google scholar: lookup
  36. Tougard C, Delefosse T, Hänni C, Montgelard C. Phylogenetic relationships of the five extant Rhinoceros species (Rhinocerotidae, Perissodactyla) based on mitochondrial cytochrome b and 12S rRNA genes.. Mol Phylogenet Evol 2001 Apr;19(1):34-44.
    doi: 10.1006/mpev.2000.0903pubmed: 11286489google scholar: lookup
  37. Toutain PL, Ferran A, Bousquet-Mélou A. Species differences in pharmacokinetics and pharmacodynamics.. Handb Exp Pharmacol 2010;(199):19-48.
    pubmed: 20204582doi: 10.1007/978-3-642-10324-7_2google scholar: lookup
  38. Uenishi H, Morozumi T, Toki D, Eguchi-Ogawa T, Rund LA, Schook LB. Large-scale sequencing based on full-length-enriched cDNA libraries in pigs: contribution to annotation of the pig genome draft sequence.. BMC Genomics 2012 Nov 15;13:581.
    doi: 10.1186/1471-2164-13-581pmc: PMC3499286pubmed: 23150988google scholar: lookup
  39. van der Weide J, Hinrichs JW. The influence of cytochrome P450 pharmacogenetics on disposition of common antidepressant and antipsychotic medications.. Clin Biochem Rev 2006 Feb;27(1):17-25.
    pmc: PMC1390790pubmed: 16886044
  40. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
    doi: 10.1126/science.1178158pmc: PMC3785132pubmed: 19892987google scholar: lookup
  41. Yang Z. Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: approximate methods.. J Mol Evol 1994 Sep;39(3):306-14.
    doi: 10.1007/bf00160154pubmed: 7932792google scholar: lookup
  42. Zanger UM, Schwab M. Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation.. Pharmacol Ther 2013 Apr;138(1):103-41.
  43. Zimin AV, Delcher AL, Florea L, Kelley DR, Schatz MC, Puiu D, Hanrahan F, Pertea G, Van Tassell CP, Sonstegard TS, Marçais G, Roberts M, Subramanian P, Yorke JA, Salzberg SL. A whole-genome assembly of the domestic cow, Bos taurus.. Genome Biol 2009;10(4):R42.
    doi: 10.1186/gb-2009-10-4-r42pmc: PMC2688933pubmed: 19393038google scholar: lookup

Citations

This article has been cited 1 times.
  1. Karakus E, Prinzinger C, Leiting S, Geyer J. Sequencing of the Canine Cytochrome P450 CYP2C41 Gene and Genotyping of Its Polymorphic Occurrence in 36 Dog Breeds.. Front Vet Sci 2021;8:663175.
    doi: 10.3389/fvets.2021.663175pubmed: 33969041google scholar: lookup