An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability

Cepeda Dean, Aldana Alexandra - Berná, Luisa - Robello Porto, Carlos - Buscaglia, Carlos A. - Balouz, Virginia

Resumen:

Background: Trypanosoma cruzi, the protozoan causing Chagas disease, is responsible for a neglected tropical disease affecting millions in Latin America. Its genome contains rapidly evolving multigene families, such as mucins (TcMUC), trans-sialidases (TS), and mucin-associated surface proteins (MASP), which are essential for parasite transmission and disease mechanisms. However, methodological challenges in genome assembly and annotation have limited the characterization of these gene families, particularly MASPs. Results: We developed a bioinformatic pipeline for the automatic identification, characterization, and annotation of MASPs directly from T. cruzi genome assemblies. This algorithm, based on a manually curated MASP database and HMM-based identification of MASP diagnostic motifs, enables the robust classification of these molecules into canonical MASPs, MASP-related molecules (mostly pseudogenes), and chimeric sequences combining MASPs and TcMUC/TS genes. Validation against a rigorously annotated dataset demonstrated high accuracy, and allowed us to reclassify misanotated sequences and, more crucially, to accurately identify previously unrecognized canonical MASPs and MASP chimeras. This algorithm was then used to explore the MASP repertoire in the genomes of 13 parasite strains from different evolutionary lineages, revealing patterns of diversity. For instance, TcI and TcII strains exhibited higher ratios of canonical MASP/MASP-related molecules and a greater abundance of MASP chimeras, suggesting that their genomes are under strong selective pressures towards maintaining a broader panel of full-length MASP genes at the expense of pseudogenes. On the contrary, structural features of canonical MASPs, MASP-related sequences, and MASP-chimeras were largely conserved across parasite genomes. Conclusions This novel pipeline automates the annotation of MASPs, a key surface protein family unique to T. cruzi, improving genome annotation and enabling robust comparative analyses. It provides an essential tool for exploring the evolutionary dynamics of multigene families in T. cruzi and could be extended to other gene families.

Detalles Bibliográficos
2025
Trypanosoma cruzi
Mucin-associated surface proteins
Hidden Markov Models
Molecular signatures
Genome annotation
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/53922
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Cepeda Dean, Aldana Alexandra
author2 Berná, Luisa
Robello Porto, Carlos
Buscaglia, Carlos A.
Balouz, Virginia
author2_role author
author
author
author
author_facet Cepeda Dean, Aldana Alexandra
Berná, Luisa
Robello Porto, Carlos
Buscaglia, Carlos A.
Balouz, Virginia
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Cepeda Dean Aldana Alexandra
Berná Luisa, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.
Robello Porto Carlos, Universidad de la República (Uruguay). Facultad de Medicina.
Buscaglia Carlos A.
Balouz Virginia
dc.creator.none.fl_str_mv Cepeda Dean, Aldana Alexandra
Berná, Luisa
Robello Porto, Carlos
Buscaglia, Carlos A.
Balouz, Virginia
dc.date.accessioned.none.fl_str_mv 2026-03-18T14:16:33Z
dc.date.available.none.fl_str_mv 2026-03-18T14:16:33Z
dc.date.issued.none.fl_str_mv 2025
dc.description.abstract.none.fl_txt_mv Background: Trypanosoma cruzi, the protozoan causing Chagas disease, is responsible for a neglected tropical disease affecting millions in Latin America. Its genome contains rapidly evolving multigene families, such as mucins (TcMUC), trans-sialidases (TS), and mucin-associated surface proteins (MASP), which are essential for parasite transmission and disease mechanisms. However, methodological challenges in genome assembly and annotation have limited the characterization of these gene families, particularly MASPs. Results: We developed a bioinformatic pipeline for the automatic identification, characterization, and annotation of MASPs directly from T. cruzi genome assemblies. This algorithm, based on a manually curated MASP database and HMM-based identification of MASP diagnostic motifs, enables the robust classification of these molecules into canonical MASPs, MASP-related molecules (mostly pseudogenes), and chimeric sequences combining MASPs and TcMUC/TS genes. Validation against a rigorously annotated dataset demonstrated high accuracy, and allowed us to reclassify misanotated sequences and, more crucially, to accurately identify previously unrecognized canonical MASPs and MASP chimeras. This algorithm was then used to explore the MASP repertoire in the genomes of 13 parasite strains from different evolutionary lineages, revealing patterns of diversity. For instance, TcI and TcII strains exhibited higher ratios of canonical MASP/MASP-related molecules and a greater abundance of MASP chimeras, suggesting that their genomes are under strong selective pressures towards maintaining a broader panel of full-length MASP genes at the expense of pseudogenes. On the contrary, structural features of canonical MASPs, MASP-related sequences, and MASP-chimeras were largely conserved across parasite genomes. Conclusions This novel pipeline automates the annotation of MASPs, a key surface protein family unique to T. cruzi, improving genome annotation and enabling robust comparative analyses. It provides an essential tool for exploring the evolutionary dynamics of multigene families in T. cruzi and could be extended to other gene families.
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dc.identifier.citation.es.fl_str_mv Cepeda Dean, A, Berná, L, Robello Porto, C [y otros autores]. "An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability". BMC Genomics. [en línea] 2025, 26: 194. 17 h. DOI: 10.1186/s12864-025-11384-5
dc.identifier.doi.none.fl_str_mv 10.1186/s12864-025-11384-5
dc.identifier.issn.none.fl_str_mv 1471-2164
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/53922
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv Springer
dc.relation.none.fl_str_mv BMC Genomics, 2025, 26: 194
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Trypanosoma cruzi
Mucin-associated surface proteins
Hidden Markov Models
Molecular signatures
Genome annotation
dc.title.none.fl_str_mv An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Background: Trypanosoma cruzi, the protozoan causing Chagas disease, is responsible for a neglected tropical disease affecting millions in Latin America. Its genome contains rapidly evolving multigene families, such as mucins (TcMUC), trans-sialidases (TS), and mucin-associated surface proteins (MASP), which are essential for parasite transmission and disease mechanisms. However, methodological challenges in genome assembly and annotation have limited the characterization of these gene families, particularly MASPs. Results: We developed a bioinformatic pipeline for the automatic identification, characterization, and annotation of MASPs directly from T. cruzi genome assemblies. This algorithm, based on a manually curated MASP database and HMM-based identification of MASP diagnostic motifs, enables the robust classification of these molecules into canonical MASPs, MASP-related molecules (mostly pseudogenes), and chimeric sequences combining MASPs and TcMUC/TS genes. Validation against a rigorously annotated dataset demonstrated high accuracy, and allowed us to reclassify misanotated sequences and, more crucially, to accurately identify previously unrecognized canonical MASPs and MASP chimeras. This algorithm was then used to explore the MASP repertoire in the genomes of 13 parasite strains from different evolutionary lineages, revealing patterns of diversity. For instance, TcI and TcII strains exhibited higher ratios of canonical MASP/MASP-related molecules and a greater abundance of MASP chimeras, suggesting that their genomes are under strong selective pressures towards maintaining a broader panel of full-length MASP genes at the expense of pseudogenes. On the contrary, structural features of canonical MASPs, MASP-related sequences, and MASP-chimeras were largely conserved across parasite genomes. Conclusions This novel pipeline automates the annotation of MASPs, a key surface protein family unique to T. cruzi, improving genome annotation and enabling robust comparative analyses. It provides an essential tool for exploring the evolutionary dynamics of multigene families in T. cruzi and could be extended to other gene families.
eu_rights_str_mv openAccess
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identifier_str_mv Cepeda Dean, A, Berná, L, Robello Porto, C [y otros autores]. "An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability". BMC Genomics. [en línea] 2025, 26: 194. 17 h. DOI: 10.1186/s12864-025-11384-5
1471-2164
10.1186/s12864-025-11384-5
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publishDate 2025
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repository.mail.fl_str_mv karina.camps@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
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rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Cepeda Dean Aldana AlexandraBerná Luisa, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.Robello Porto Carlos, Universidad de la República (Uruguay). Facultad de Medicina.Buscaglia Carlos A.Balouz Virginia2026-03-18T14:16:33Z2026-03-18T14:16:33Z2025Cepeda Dean, A, Berná, L, Robello Porto, C [y otros autores]. "An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability". BMC Genomics. [en línea] 2025, 26: 194. 17 h. DOI: 10.1186/s12864-025-11384-51471-2164https://hdl.handle.net/20.500.12008/5392210.1186/s12864-025-11384-5Background: Trypanosoma cruzi, the protozoan causing Chagas disease, is responsible for a neglected tropical disease affecting millions in Latin America. Its genome contains rapidly evolving multigene families, such as mucins (TcMUC), trans-sialidases (TS), and mucin-associated surface proteins (MASP), which are essential for parasite transmission and disease mechanisms. However, methodological challenges in genome assembly and annotation have limited the characterization of these gene families, particularly MASPs. Results: We developed a bioinformatic pipeline for the automatic identification, characterization, and annotation of MASPs directly from T. cruzi genome assemblies. This algorithm, based on a manually curated MASP database and HMM-based identification of MASP diagnostic motifs, enables the robust classification of these molecules into canonical MASPs, MASP-related molecules (mostly pseudogenes), and chimeric sequences combining MASPs and TcMUC/TS genes. Validation against a rigorously annotated dataset demonstrated high accuracy, and allowed us to reclassify misanotated sequences and, more crucially, to accurately identify previously unrecognized canonical MASPs and MASP chimeras. This algorithm was then used to explore the MASP repertoire in the genomes of 13 parasite strains from different evolutionary lineages, revealing patterns of diversity. For instance, TcI and TcII strains exhibited higher ratios of canonical MASP/MASP-related molecules and a greater abundance of MASP chimeras, suggesting that their genomes are under strong selective pressures towards maintaining a broader panel of full-length MASP genes at the expense of pseudogenes. On the contrary, structural features of canonical MASPs, MASP-related sequences, and MASP-chimeras were largely conserved across parasite genomes. Conclusions This novel pipeline automates the annotation of MASPs, a key surface protein family unique to T. cruzi, improving genome annotation and enabling robust comparative analyses. It provides an essential tool for exploring the evolutionary dynamics of multigene families in T. cruzi and could be extended to other gene families.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2026-03-16T14:21:12Z No. of bitstreams: 2 license_rdf: 27293 bytes, checksum: d62648cf14c1e37917d392ac87012955 (MD5) 10.1186.s12864-025-11384-5.pdf: 4168359 bytes, checksum: 14eaad221605c6434ee0b06b5db057b0 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2026-03-18T12:44:54Z (GMT) No. of bitstreams: 2 license_rdf: 27293 bytes, checksum: d62648cf14c1e37917d392ac87012955 (MD5) 10.1186.s12864-025-11384-5.pdf: 4168359 bytes, checksum: 14eaad221605c6434ee0b06b5db057b0 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2026-03-18T14:16:33Z (GMT). No. of bitstreams: 2 license_rdf: 27293 bytes, checksum: d62648cf14c1e37917d392ac87012955 (MD5) 10.1186.s12864-025-11384-5.pdf: 4168359 bytes, checksum: 14eaad221605c6434ee0b06b5db057b0 (MD5) Previous issue date: 202517 happlication/pdfenengSpringerBMC Genomics, 2025, 26: 194Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Trypanosoma cruziMucin-associated surface proteinsHidden Markov ModelsMolecular signaturesGenome annotationAn algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variabilityArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCepeda Dean, Aldana AlexandraBerná, LuisaRobello Porto, CarlosBuscaglia, Carlos A.Balouz, VirginiaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/53922/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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- Universidad de la Repúblicafalse
spellingShingle An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
Cepeda Dean, Aldana Alexandra
Trypanosoma cruzi
Mucin-associated surface proteins
Hidden Markov Models
Molecular signatures
Genome annotation
status_str publishedVersion
title An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
title_full An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
title_fullStr An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
title_full_unstemmed An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
title_short An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
title_sort An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
topic Trypanosoma cruzi
Mucin-associated surface proteins
Hidden Markov Models
Molecular signatures
Genome annotation
url https://hdl.handle.net/20.500.12008/53922