#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Structure of the Trehalose-6-phosphate Phosphatase from Reveals Key Design Principles for Anthelmintic Drugs


Here, we describe the structure of trehalose-6-phosphate phosphatase (T6PP) from Brugia malayi. This enzyme is essential to the organism; deletion of the gene encoding T6PP results in toxic accumulation of trehalose 6-phosphate. Structure-guided mutagenesis coupled with kinetic analyses revealed residues important for binding and catalysis. The model for substrate binding suggests a binding mode in which shape complementarity plays a major role. Conservation of binding residues among T6PP orthologs present in pathogenic nematodes and bacteria favors T6PP as a suitable target for broad-range anthelmintic and antibacterial drug design.


Vyšlo v časopise: Structure of the Trehalose-6-phosphate Phosphatase from Reveals Key Design Principles for Anthelmintic Drugs. PLoS Pathog 10(7): e32767. doi:10.1371/journal.ppat.1004245
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.ppat.1004245

Souhrn

Here, we describe the structure of trehalose-6-phosphate phosphatase (T6PP) from Brugia malayi. This enzyme is essential to the organism; deletion of the gene encoding T6PP results in toxic accumulation of trehalose 6-phosphate. Structure-guided mutagenesis coupled with kinetic analyses revealed residues important for binding and catalysis. The model for substrate binding suggests a binding mode in which shape complementarity plays a major role. Conservation of binding residues among T6PP orthologs present in pathogenic nematodes and bacteria favors T6PP as a suitable target for broad-range anthelmintic and antibacterial drug design.


Zdroje

1. MartinJ, AbubuckerS, HeizerE, TaylorCM, MitrevaM (2012) Nematode.net update 2011: addition of data sets and tools featuring next-generation sequencing data. Nucleic Acids Res 40: D720–8 doi:10.1093/nar/gkr1194

2. OttesenEa, HooperPJ, BradleyM, BiswasG (2008) The global programme to eliminate lymphatic filariasis: health impact after 8 years. PLoS Negl Trop Dis 2: e317 doi:10.1371/journal.pntd.0000317

3. WHO (2009) World Health Organization Global Program to Eliminate Lymphatic Filariasis. Available: http://www.who.int/lymphatic_filariasis/disease/en/. Accessed 2 June 2014.

4. GyapongJO, KumaraswamiV, BiswasG, OttesenEa (2005) Treatment strategies underpinning the global programme to eliminate lymphatic filariasis. Expert Opin Pharmacother 6: 179–200 doi:10.1517/14656566.6.2.179

5. KamgnoJ, BoussinesqM (2008) Encephalopathy after Ivermectin Treatment in a Patient Infected with Loa Loa and Plasmodium spp. Am J Trop Med Hyg 78: 546–551.

6. BockarieMJ, DebRM (2010) Elimination of lymphatic filariasis: do we have the drugs to complete the job? Curr Opin Infect Dis 23: 617–620 doi:10.1097/QCO.0b013e32833fdee5

7. ColesGC, JacksonF, PomroyWE, PrichardRK, von Samson-HimmelstjernaG, et al. (2006) The detection of anthelmintic resistance in nematodes of veterinary importance. Vet Parasitol 136: 167–185 doi:10.1016/j.vetpar.2005.11.019

8. TraversaD, von Samson-HimmelstjernaG, DemelerJ, MililloP, SchürmannS, et al. (2009) Anthelmintic resistance in cyathostomin populations from horse yards in Italy, United Kingdom and Germany. Parasit Vectors 2 Suppl 2: S2 doi:10.1186/1756-3305-2-S2-S2

9. BradyHa, NicholsWT (2009) Drug Resistance in Equine Parasites: An Emerging Global Problem. J Equine Vet Sci 29: 285–295 doi:10.1016/j.jevs.2009.04.186

10. TaylorMJ, AwadziK, BasáñezM-G, BiritwumN, BoakyeD, et al. (2009) Onchocerciasis Control: Vision for the Future from a Ghanian perspective. Parasit Vectors 2: 7 doi:10.1186/1756-3305-2-7

11. GhedinE, WangS, SpiroD, CalerE, ZhaoQ, et al. (2007) Draft genome of the filarial nematode parasite Brugia malayi. Science (80-) 317: 1756–1760 doi:10.1126/science.1145406

12. DesjardinsCa, CerqueiraGC, GoldbergJM, Dunning HotoppJC, HaasBJ, et al. (2013) Genomics of Loa loa, a Wolbachia-free filarial parasite of humans. Nat Genet 45: 495–500 doi:10.1038/ng.2585

13. JexAR, LiuS, LiB, YoungND, HallRS, et al. (2011) Ascaris suum draft genome. Nature 479: 529–533 doi:10.1038/nature10553

14. MitrevaM, JasmerDP, ZarlengaDS, WangZ, AbubuckerS, et al. (2011) The draft genome of the parasitic nematode Trichinella spiralis. Nat Genet 43: 228–235 doi:10.1038/ng.769

15. OppermanCH, BirdDM, WilliamsonVM, RokhsarDS, BurkeM, et al. (2008) Sequence and genetic map of Meloidogyne hapla: A compact nematode genome for plant parasitism. Proc Natl Acad Sci U S A 105: 14802–14807 doi:10.1073/pnas.0805946105

16. DieterichC, CliftonSW, SchusterLN, ChinwallaA, DelehauntyK, et al. (2008) The Pristionchus pacificus genome provides a unique perspective on nematode lifestyle and parasitism. Nat Genet 40: 1193–1198 doi:10.1038/ng.227

17. C. elegans Sequencing Consortium (1998) Genome Sequence of the Nematode C. elegans: A Platform for Investigating Biology. Science 282: 2012–2018 doi:10.1126/science.282.5396.2012

18. GuptaBP, SternbergPW (2003) The draft genome sequence of the nematode Caenorhabditis briggsae, a companion to C. elegans. Genome Biol 4: 238 doi:10.1186/gb-2003-4-12-238

19. AshLR, RileyJM (1970) Development of Subperiodic Brugia malayi in the Jird, meriones unguiculatus, with notes on infections in other rodents. J Parasitol 56: 969–973.

20. FalconeFH, SchlaakM, HaasH (1995) In vitro cultivation of Brugia malayi, a parasitic nematode that causes human lymphatic filariasis. ALTEX 12: 179–187.

21. AboobakerAA, BlaxterML (2003) Use of RNA interference to investigate gene function in the human filarial nematode parasite Brugia malayi. Mol Biochem Parasitol 129: 41–51 doi:10.1016/S0166-6851(03)00092-6

22. LustigmanS, ZhangJ, LiuJ, OksovY, HashmiS (2004) RNA interference targeting cathepsin L and Z-like cysteine proteases of Onchocerca volvulus confirmed their essential function during L3 molting. Mol Biochem Parasitol 138: 165–170 doi:10.1016/j.molbiopara.2004.08.003

23. PfarrK, HeiderU, HoeraufA (2006) RNAi mediated silencing of actin expression in adult Litomosoides sigmodontis is specific, persistent and results in a phenotype. Int J Parasitol 36: 661–669 doi:10.1016/j.ijpara.2006.01.010

24. KumarS, ChaudharyK, FosterJM, NovelliJF, ZhangY, et al. (2007) Mining predicted essential genes of Brugia malayi for nematode drug targets. PLoS One 2: e1189 doi:10.1371/journal.pone.0001189

25. PelleroneF, ArcherS, BehmC, GrantW, LaceyM, et al. (2003) Trehalose metabolism genes in Caenorhabditis elegans and filarial nematodes. Int J Parasitol 33: 1195–1206 doi:10.1016/S0020-7519(03)00173-5

26. BehmC (1997) The Role of Trehalose in the Physiology of Nematodes. Int J Parasitol 27: 215–229.

27. ElbeinAD, PanYT, PastuszakI, CarrollD (2003) New insights on trehalose: a multifunctional molecule. Glycobiology 13: 17R–27R doi:10.1093/glycob/cwg047

28. KormishJD, McGheeJD (2005) The C. elegans lethal gut-obstructed gob-1 gene is trehalose-6-phosphate phosphatase. Dev Biol 287: 35–47 doi:10.1016/j.ydbio.2005.08.027

29. RaoK, KumaranD (2006) Crystal structure of trehalose-6-phosphate phosphatase – related protein: Biochemical and biological implications. Protein Sci 15: 1735–1744 doi:10.1110/ps.062096606.ily

30. ObitaT, SaksenaS, Ghazi-TabatabaiS, GillDJ, PerisicO, et al. (2007) Structural basis for selective recognition of ESCRT-III by the AAA ATPase Vps4. Nature 449: 735–739 doi:10.1038/nature06171

31. SamsonRY, ObitaT, FreundSM, WilliamsRL, BellSD (2008) A Role for the ESCRT System in Cell Division in Archaea. Science 322: 1710–1713.

32. SchmidtO, TeisD (2012) The ESCRT machinery. Curr Biol 22: R116–20 doi:10.1016/j.cub.2012.01.028

33. YangZ, VildC, JuJ, ZhangX, LiuJ, et al. (2012) Structural basis of molecular recognition between ESCRT-III-like protein Vps60 and AAA-ATPase regulator Vta1 in the multivesicular body pathway. J Biol Chem 287: 43899–43908 doi:10.1074/jbc.M112.390724

34. CopleySD (2012) Moonlighting is mainstream: paradigm adjustment required. BioEssays 34: 578–588 doi:10.1002/bies.201100191

35. AllenKN, Dunaway-MarianoD (2009) Markers of fitness in a successful enzyme superfamily. Curr Opin Struct Biol 19: 658–665 doi:10.1016/j.sbi.2009.09.008

36. KelleyLa, SternbergMJE (2009) Protein structure prediction on the Web: a case study using the Phyre server. Nat Protoc 4: 363–371 doi:10.1038/nprot.2009.2

37. LuZ, Dunaway-MarianoD, AllenKN (2008) The catalytic scaffold of the haloalkanoic acid dehalogenase enzyme superfamily acts as a mold for the trigonal bipyramidal transition state. Proc Natl Acad Sci U S A 105: 5687–5692 doi:10.1073/pnas.0710800105

38. LahiriSD, ZhangG, Dunaway-MarianoD, AllenKN (2003) The pentacovalent phosphorus intermediate of a phosphoryl transfer reaction. Science 299: 2067–2071 doi:10.1126/science.1082710

39. DaughtryKD, HuangH, MalashkevichV, LiuW, RamagopalU, et al. (2013) Structural Basis for the Divergence of Substrate Speci fi city and Biological Function within HAD Phosphatases in Lipopolysaccharide and Sialic Acid Biosynthesis. Biochemistry 52: 5372–5386.

40. NguyenHH, WangL, HuangH, PeisachE, Dunaway-MarianoD, et al. (2010) Structural determinants of substrate recognition in the HAD superfamily member D-glycero-D-manno-heptose-1,7-bisphosphate phosphatase (GmhB). Biochemistry 49: 1082–1092 doi:10.1021/bi902019q

41. BrenkeR, KozakovD, ChuangG-Y, BeglovD, HallD, et al. (2009) Fragment-based identification of druggable “hot spots” of proteins using Fourier domain correlation techniques. Bioinformatics 25: 621–627 doi:10.1093/bioinformatics/btp036

42. KozakovD, HallDR, ChuangG-Y, CencicR, BrenkeR, et al. (2011) Structural conservation of druggable hot spots in protein-protein interfaces. Proc Natl Acad Sci U S A 108: 13528–13533 doi:10.1073/pnas.1101835108

43. PhillipsJC, BraunR, WangW, GumbartJ, TajkhorshidE, et al. (2008) Scalable Molecular Dynamics with NAMD. J Comput Chem 26: 1781–1802.

44. LeeRa, RazazM, HaywardS (2003) The DynDom database of protein domain motions. Bioinformatics 19: 1290–1291 doi:10.1093/bioinformatics/btg137

45. QiG, LeeR, HaywardS (2005) A comprehensive and non-redundant database of protein domain movements. Bioinformatics 21: 2832–2838 doi:10.1093/bioinformatics/bti420

46. TaylorD, CawleyG, HaywardS (2013) Classification of Domain Movements in Proteins Using Dynamic Contact Graphs. PLoS One 8: 1–10 doi:10.1371/journal.pone.0081224

47. HolmL, RosenströmP (2010) Dali server: conservation mapping in 3D. Nucleic Acids Res 38: W545–9 doi:10.1093/nar/gkq366

48. FieulaineS, LunnJE, BorelF, FerrerJ (2005) The Structure of a Cyanobacterial Sucrose-Phosphatase Reveals the Sugar Tongs That Release Free Sucrose in the Cell. Plant Cell 17: 2049–2058 doi:10.1105/tpc.105.031229.1

49. LunnJE (2002) Evolution of Sucrose Synthesis [w]. Plant Physiol 128: 1490–1500 doi:10.1104/pp.010898.1490

50. LunnJE, PriceGD, FurbankRT (1999) Cloning and expression of a prokaryotic sucrose-phosphate synthase gene from the cyanobacterium Synechocystis sp. PCC 6803. Plant Mol Biol 40: 297–305.

51. ZhangM, YogeshaSD, MayfieldJE, GillGN, ZhangY (2013) Viewing serine/threonine protein phosphatases through the eyes of drug designers. FEBS J 280: 4739–4760 doi:10.1111/febs.12481

52. NobleMEM, EndicottJa, JohnsonLN (2004) Protein kinase inhibitors: insights into drug design from structure. Science 303: 1800–1805 doi:10.1126/science.1095920

53. HanK-C, KimSY, YangEG (2012) Recent advances in designing substrate-competitive protein kinase inhibitors. Curr Pharm Des 18: 2875–2882.

54. ChaptalV, KwonS, SawayaMR, GuanL, KabackHR, et al. (2011) Crystal structure of lactose permease in complex with an affinity inactivator yields unique insight into sugar recognition. Proc Natl Acad Sci U S A 108: 9361–9366 doi:10.1073/pnas.1105687108

55. BorastonAB, BolamDN, GilbertHJ, DaviesGJ (2004) Carbohydrate-binding modules: fine-tuning polysaccharide recognition. Biochem J 382: 769–781 doi:10.1042/BJ20040892

56. MuraseT, ZhengRB, JoeM, BaiY, MarcusSL, et al. (2009) Structural insights into antibody recognition of mycobacterial polysaccharides. J Mol Biol 392: 381–392 doi:10.1016/j.jmb.2009.06.074

57. AsensioJL, ArdáA, CañadaFJ, Jiménez-BarberoJ (2013) Carbohydrate-aromatic interactions. Acc Chem Res 46: 946–954 doi:10.1021/ar300024d

58. NotredameC, HigginsD, HeringaJ (2000) T-Coffee: A novel method for fast and accurate multiple sequence alignment. J Mol Biol 205–217 doi:10.1006/jmbi.2000.4042

59. GouetP (2003) ESPript/ENDscript: extracting and rendering sequence and 3D information from atomic structures of proteins. Nucleic Acids Res 31: 3320–3323 doi:10.1093/nar/gkg556

60. RinasU, HellmuthK, SandersEA (1995) Simple fed-batch technique for high cell density cultivation of Escherichia coli. J Biotechnol 39: 59–65.

61. MinorW, CymborowskiM, OtwinowskiZ, ChruszczM (2006) HKL-3000: the integration of data reduction and structure solution–from diffraction images to an initial model in minutes. Acta Crystallogr D Biol Crystallogr 62: 859–866 doi:10.1107/S0907444906019949

62. AdamsPD, AfoninePV, BunkócziG, ChenVB, DavisIW, et al. (2010) PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr D Biol Crystallogr 66: 213–221 doi:10.1107/S0907444909052925

63. EmsleyP, CowtanK (2004) Coot: model-building tools for molecular graphics. Acta Crystallogr D Biol Crystallogr 60: 2126–2132 doi:10.1107/S0907444904019158

64. ChenVB, ArendallWB, HeaddJJ, KeedyDa, ImmorminoRM, et al. (2010) MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr D Biol Crystallogr 66: 12–21 doi:10.1107/S0907444909042073

65. KrissinelE, HenrickK (2004) Secondary-structure matching (SSM), a new tool for fast protein structure alignment in three dimensions. Acta Crystallogr D Biol Crystallogr 60: 2256–2268 doi:10.1107/S0907444904026460

66. WilliamsBD (1995) Genetic mapping with polymorphic sequence-tagged sites. Methods Cell Biol 48: 81–96.

67. TimmonsL, CourtDL, Firea (2001) Ingestion of bacterially expressed dsRNAs can produce specific and potent genetic interference in Caenorhabditis elegans. Gene 263: 103–112.

68. PettersenEF, GoddardTD, HuangCC, CouchGS, GreenblattDM, et al. (2004) UCSF Chimera–a visualization system for exploratory research and analysis. J Comput Chem 25: 1605–1612 doi:10.1002/jcc.20084

69. BrooksBR, IiiCLB, MackerellAD, NilssonL, PetrellaRJ, et al. (2009) CHARMM: The Biomolecular Simulation Program. J Comput Chem 30: 1545–1614 doi:10.1002/jcc

70. DominyBN, BrooksCL (1999) Development of a Generalized Born Model Parametrization for Proteins and Nucleic Acids. J Phys Chem B 103: 3765–3773 doi:10.1021/jp984440c

Štítky
Hygiena a epidemiológia Infekčné lekárstvo Laboratórium

Článok vyšiel v časopise

PLOS Pathogens


2014 Číslo 7
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Získaná hemofilie - Povědomí o nemoci a její diagnostika
nový kurz

Eozinofilní granulomatóza s polyangiitidou
Autori: doc. MUDr. Martina Doubková, Ph.D.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#