Mem Inst Oswaldo Cruz, Rio de Janeiro, VOLUME 121 | 2026
Research Articles

Chromosome level genome assembly of the World Health standards Leishmania (Viannia) guyanensis M4147 and L. (V.) shawi M8408 using a hybrid sequencing approach

Percy Omar Túllume-Vergara1, Ana Carolina Stocco de Lima2,3, Claudia Maria de Castro Gomes3, Bruna Santos Lima4, Sinval Pinto Brandão-Filho4, Fernando Tobias Silveira2,5, Jeffrey J Shaw1, João Marcelo Pereira Alves1,+

1Universidade de São Paulo, Instituto de Ciências Biomédicas, Departamento de Parasitologia, São Paulo, SP, Brasil
2Instituto Evandro Chagas, Departamento de Parasitologia, Ananindeua, PA, Brasil
3Universidade de São Paulo, Faculdade de Medicina, Departamento de Patologia, São Paulo, SP, Brasil
4Fundação Oswaldo Cruz-Fiocruz, Instituto Aggeu Magalhães, Recife, PE, Brasil
5Universidade Federal do Pará, Núcleo de Medicina Tropical, Belém, PA, Brasill

DOI: 10.1590/0074-02760250270
232 views 172 downloads
ABSTRACT

BACKGROUND The Leishmania (Viannia) subgenus contains important pathogens that cause a variety of different clinical forms of cutaneous leishmaniasis in the Americas. Their response to antimonial chemotherapy differs according to species. Having high-quality genomic resources of these species is a significant step towards investigating and understanding these factors.
OBJECTIVES This study aims to characterise the main genomic features of L. (V.) guyanensis strain MHOM/BR/75/M4147 and L. (V.) shawi strain MCEB/BR/84/M8408.
METHODS Genomes were sequenced combining short- and long-read sequencing platforms and assembled, scaffolded, and polished using Flye2, Ragtag, and Pilon, respectively. Annotations were performed using mainly similarity and profile search methods, and phylogenetic analyses were performed using the maximum likelihood (ML) and Bayesian inference approaches, using IQ-TREE and MrBayes, respectively.
FINDINGS De novo assembly produced genome sizes of 32.27 Mb for L. guyanensis and 32.41 Mb for L. shawi, and predicted 8,505 and 8,592 protein-coding genes, respectively. Phylogenetic analysis based on these assemblies confidently places L. guyanensis and L. shawi as the closest known relatives to L. panamensis within the Viannia clade.
MAIN CONCLUSIONS These genomes will increase the knowledge about the subgenus L. (Viannia) in the Americas and also represent valuable information for future comparative studies with other human pathogenic Leishmania spp.

REFERENCES
01. Lainson R, Shaw JJ. Evolution. Classification and geographical distribution of Leishmania. In: Peters W, Killick-Kendrick R, editors. The Leishmaniases in biology and medicine. Vol. 1. London: Academic Press; 1987. p. 1-120.
02. Kostygov AY, Karnkowska A, Votýpka J, Tashyreva D, Maciszewski K, Yurchenko V, et al. Euglenozoa: taxonomy, diversity and ecology, symbioses and viruses. Open Biol. 2021; 11(3): 200407. doi: 10.1098/rsob.200407.
03. Ives A, Ronet C, Prevel F, Ruzzante G, Fuertes-Marraco S, Schutz F, et al. Leishmania RNA virus controls the severity of mucocutaneous leishmaniasis. Science. 2011; 331(6018): 775-8. doi: 10.1126/science.1199326.
04. Romero GAS, Ishikawa EA, Cupolillo E, Toaldo CB, Guerra MVF, Paes MG, et al. The rarity of infection with Leishmania (Viannia) braziliensis among patients from the Manaus region of Amazonas state, Brazil, who have cutaneous leishmaniasis. Ann Trop Med Parasitol. 2002; 96: 131-6. doi:10.1179/000349802125000745.
05. Camara-Coelho LI, Paes M, Guerra JA, Barbosa MG, Coelho C, Lima B, et al. Characterization of Leishmania spp. causing cutaneous leishmaniasis in Manaus, Amazonas, Brazil. Parasitol Res. 2011; 108: 671-7. doi:10.1007/s00436-010-2139-9.
06. Simon S, Nacher M, Carme B, Basurko C, Roger A, Adenis A, et al. Cutaneous leishmaniasis in French Guiana: revising epidemiology with PCR-RFLP. Trop Med Health. 2017; 45: 5. doi:10.1186/ s41182-017-0045-x.1.
07. Jennings YL, de Souza AAA, Ishikawa EA, Shaw J, Lainson R, Silveira F. Phenotypic characterization of Leishmania spp. causing region, western Pará state, Brazil, reveals a putative hybrid parasite, Leishmania (Viannia) guyanensis x Leishmania (Viannia) shawi shawi. Parasite. 2014; 21: 1-11.
08. Gonçalves LP, Santos TVD, Campos MB, Lima LVDR, Ishikawa EAY, Silveira FT, et al. Further insights into the eco-epidemiology of American cutaneous leishmaniasis in the Belem metropolitan region, Pará State, Brazil. Rev Soc Bras Med Trop. 2020; 53: e20200255. doi:10.1590/0037-8682-0255-2020.
09. Shaw JJ, Ishikawa EA, Lainson R, Braga RR, Silveira FT. Cutaneous leishmaniasis of man due to Leishmania (Viannia) shawi Lainson, de Souza, Povoa, Ishikawa & Silveira, in Pará State, Brazil. Ann Parasitol Hum Com. 1991; 66: 243-6. doi:10.1051/ parasite/1991666243.
10. Coughlan S, Taylor AS, Feane E, Sanders M, Schonian G, Cotton JA, et al. Leishmania naiffi and Leishmania guyanensis reference genomes highlight genome structure and gene evolution in the Viannia subgenus. R Soc Open Sci. 2018; 5(4): 172212.
11. Batra D, Lin W, Rowe LA, Sheth M, Zheng Y, Loparev V, et al. Draft genome sequence of French Guiana Leishmania (Viannia) guyanensis strain 204-365, assembled using long reads. Microbiol Resour Announc. 2018; 7(23): e01421-18.
12. Zakharova A, Albanaz ATS, Opperdoes FR, Škodová-Sveráková I, Zagirova D, Saura A, et al. Leishmania guyanensis M4147 as a new LRV1-bearing model parasite: phosphatidate phosphatase 2-like protein controls cell cycle progression and intracellular lipid content. PLoS Negl Trop Dis. 2022; 16(6): e0010510.
13. Vallejo GA, Guhl F, Chiari E, Macedo AM. Species specific detection of Trypanosoma cruzi and Trypanosoma rangeli in vector and mammalian hosts by polymerase chain reaction amplification of kinetoplast minicircle DNA. Acta Trop. 1999; 72(2): 203-12. doi: 10.1016/s0001-706x(98)00085-0.
14. Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018; 34(17): i884-i90. doi: 10.1093/bioinformatics/bty560.
15. Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error- prone reads using repeat graphs. Nat Biotechnol. 2019; 37(5): 540-6. doi: 10.1038/s41587-019-0072-8.
16. Alonge M, Lebeigle L, Kirsche M, Jenike K, Ou S, Aganezov S, et al. Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing. Genome Biol. 2022; 23(1): 258. doi: 10.1186/s13059-022-02823-7.
17. González-de la Fuente S, Camacho E, Peiró-Pastor R, Rastrojo A, Carrasco-Ramiro F, Aguado B, et al. Complete and de novo assembly of the Leishmania braziliensis (M2904) genome. Mem Inst Oswaldo Cruz. 2019; 114: e180438. doi: 10.1590/0074-02760180438.
18. Boité MC, Mauricio IL, Miles MA, Cupolillo E. New insights on taxonomy, phylogeny and population genetics of Leishmania (Viannia) parasites based on multilocus sequence analysis. PLoS Negl Trop Dis. 2012; 6(11): e1888. doi:10.1371/journal.pntd.0001888.
19. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A, Sakthikumar S, et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One. 2014; 9(11): e112963. doi: 10.1371/journal.pone.0112963.
20. Brown MR, de La Rosa PMG, Blaxter M. tidk: a toolkit to rapidly identify telomeric repeats from genomic datasets. Bioinformatics. 2025; 41(2): btaf049. doi: 10.1093/bioinformatics/btaf049.
21. Seppey M, Manni M, Zdobnov EM. BUSCO: assessing genome assembly and annotation completeness. Methods Mol Biol. 2019; 1962: 227-45. doi: 10.1007/978-1-4939-9173-0_14.
22. Cabanettes F, Klopp C. D-GENIES: dot plot large genomes in an interactive, efficient and simple way. PeerJ. 2018; 6: e4958. doi: 10.7717/peerj.4958.
23. Stanke M, Diekhans M, Baertsch R, Haussler D. Using native and syntenically mapped cDNA alignments to improve de novo gene finding. Bioinformatics. 2008; 24(5): 637-44.
24. Jones P, Binns D, Chang HY, Fraser M, Li W, McAnulla C, et al. InterProScan 5: genome-scale protein function classification. Bioinformatics. 2014; 30(9): 1236-40.
25. Nawrocki EP, Eddy SR. Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics. 2013; 29(22): 2933-5. doi: 10.1093/ bioinformatics/btt509.
26. Kalvari I, Nawrocki EP, Ontiveros-Palacios N, Argasinska J, Lamkiewicz K, Marz M, et al. Rfam 14: expanded coverage of metagenomic, viral and microRNA families. Nucleic Acids Res. 2021; 49(D1): D192-D200. doi: 10.1093/nar/gkaa1047.
27. Chan PP, Lin BY, Mak AJ, Lowe TM. tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes. Nucleic Acids Res. 2021; 49(16): 9077-96. doi: 10.1093/nar/gkab688.
28. Goel M, Sun H, Jiao WB, Schneeberger K. SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies. Genome Biol. 2019; 20(1): 277. doi: 10.1186/ s13059-019-1911-0.
29. Emms DM, Kelly S. OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 2019; 20(1): 238. doi: 10.1186/s13059-019-1832-y.
30. Edgar RC. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics. 2004; 5: 113. doi: 10.1186/1471-2105-5-113.
31. Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009; 25(15): 1972-3. doi: 10.1093/bioinformatics/btp348.
32. Kück P, Longo GC. FASconCAT-G: extensive functions for multiple sequence alignment preparations concerning phylogenetic studies. Front Zool. 2014; 11(1): 81. doi: 10.1186/s12983-014-0081-x.
33. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the Genomic Era. Mol Biol Evol. 2020; 37(5): 1530-4. doi: 10.1093/molbev/msaa015. Erratum: Mol Biol Evol. 2020; 37(8): 2461. doi: 10.1093/molbev/msaa131.
34. Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S, et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012; 61(3): 539-42. doi: 10.1093/sysbio/sys029.
35. Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017; 14(6): 587-9. doi: 10.1038/ nmeth.4285.
36. Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016; 44(W1): W242-5. doi: 10.1093/nar/gkw290.
37. Marçais G, Kingsford C. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics. 2011; 27(6): 764-70. doi: 10.1093/bioinformatics/btr011.
38. Ranallo-Benavidez TR, Jaron KS, Schatz MC. GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes. Nat Commun. 2020; 11(1): 1432. doi: 10.1038/s41467-020-14998-3.
39. Briggs EM, Marques CA, Reis-Cunha J, Black J, Campbell S, Damasceno J, et al. Next-generation analysis of trypanosomatid genome stability and instability. Methods Mol Biol. 2020; 2116: 225-62. doi: 10.1007/978-1-0716-0294-2_15.
40. Tullume-Vergara PO, Caicedo KYO, Tantalean JFC, Serrano MG, Buck GA, Teixeira MMG, et al. Genomes of Endotrypanum monterogeii from Panama and Zelonia costaricensis from Brazil: expansion of multigene families in Leishmaniinae parasites that are close relatives of Leishmania spp. Pathogens. 2023; 12(12): 1409. doi: 10.3390/pathogens12121409.
41. Llanes A, Restrepo CM, Del Vecchio G, Anguizola FJ, Lleonart R. The genome of Leishmania panamensis: insights into genomics of the L. (Viannia) subgenus. Sci Rep. 2015; 5: 8550. doi: 10.1038/srep08550.
42. Monte-Neto R, Laffitte MC, Leprohon P, Reis P, Frézard F, Ouellette M. Intrachromosomal amplification, locus deletion and point mutation in the aquaglyceroporin AQP1 gene in antimony resistant Leishmania (Viannia) guyanensis. PLoS Negl Trop Dis. 2015; 9(2): e0003476. doi: 10.1371/journal.pntd.0003476.
43. Patino LH, Imamura H, Cruz-Saavedra L, Pavia P, Muskus C, Méndez C, et al. Major changes in chromosomal somy, gene expression and gene dosage driven by SbIII in Leishmania braziliensis and Leishmania panamensis. Sci Rep. 2019; 9: 9485 doi:10.1038/ s41598-019-45538-9.
44. Mukherjee A, Boisvert S, Monte-Neto RL, Coelho AC, Raymond F, Mukhopadhyay R, et al. Telomeric gene deletion and intrachromosomal amplification in antimony-resistant Leishmania. Mol Microbiol. 2013; 88(1): 189-202. doi: 10.1111/mmi.12178.
45. Rastrojo A, García-Hernández R, Vargas P, Camacho E, Corvo L, Imamura H, et al. Genomic and transcriptomic alterations in Leishmania donovani lines experimentally resistant to antileishmanial drugs. Int J Parasitol Drugs Drug Resist. 2018; 8(2): 246- 64. doi: 10.1016/j.ijpddr.2018.04.002.
46. Ubeda JM, Légaré D, Raymond F, Ouameur AA, Boisvert S, Rigault P, et al. Modulation of gene expression in drug resistant Leishmania is associated with gene amplification, gene deletion and chromosome aneuploidy. Genome Biol. 2008; 9(7): R115. doi: 10.1186/gb-2008-9-7-r115.
47. Dumetz F, Imamura H, Sanders M, Seblova V, Myskova J, Pescher P, et al. Modulation of aneuploidy in Leishmania donovani during adaptation to different in vitro and in vivo environments and its impact on gene expression. mBio. 2017; 8(3): e00599-17. doi: 10.1128/mBio.00599-17.
48. Urrea DA, Duitama J, Imamura H, Álzate JF, Gil J, Muñoz N, et al. Genomic Analysis of Colombian Leishmania panamensis strains with different level of virulence. Sci Rep. 2018; 8(1): 17336. doi: 10.1038/s41598-018-35778-6.
49. Valdivia HO, Reis-Cunha JL, Rodrigues-Luiz GF, Baptista RP, Baldeviano GC, Gerbasi RV, et al. Comparative genomic analysis of Leishmania (Viannia) peruviana and Leishmania (Viannia) braziliensis. BMC Genomics. 2015; 16(1): 715. doi: 10.1186/ s12864-015-1928-z.
50. Silveira FT, Sousa Junior EC, Silvestre RV, Costa-Martins AG, Pinheiro KC, Ochoa WS, et al. Whole-genome sequencing of Leishmania infantum chagasi isolates from Honduras and Brazil. Microbiol Resour Announc. 2021; 10(48): e0047121. doi: 10.1128/ MRA.00471-21.
51. Coughlan S, Taylor AS, Feane E, Sanders M, Schonian G, Cotton JA, et al. Leishmania naiffi and Leishmania guyanensis reference genomes highlight genome structure and gene evolution in the Viannia subgenus. R Soc Open Sci. 2018; 5(4): 172212. doi: 10.1098/rsos.172212.

Financial support: CNPq (Grant/Award Numbers: 304565/2017-2, 307937/2021-6, 305607/2022-7 and 140430/2021-0 to JJS and POTV).This research was supported by FIOTEC VPGDI 015-FIO-19 and FAPESP 2014/50315-0 to ACSL, FTS and CMCG.
+ Corresponding author: jotajj@usp.br | ORCID ttps://orcid.org/0000-0001-5914-2087
Received 30 September 2025
Accepted 09 March 2026

HOW TO CITE
Túllume-Vergara PO, de Lima ACS, Gomes CMC, Lima BS, Brandão-Filho SP, Silveira FT, et al. Chromosome level genome assembly of the World Health standards Leishmania (Viannia) guyanensis M4147 and L. (V.) shawi M8408 using a hybrid sequencing approach. Mem Inst Oswaldo Cruz. 2026; 121: e250270.

HANDLING EDITOR
Elisa Cupolillo | ORCID https://orcid.org/0000-0002-0620-3250

Our Location

Memórias do Instituto Oswaldo Cruz

Av. Brasil 4365, Castelo Mourisco 
sala 201, Manguinhos, 21040-900 
Rio de Janeiro, RJ, Brazil

Tel.: +55-21-2562-1222

This email address is being protected from spambots. You need JavaScript enabled to view it.

Support Program

logo iocb

logo governo federal03h 
faperj   cnpq capes