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Exploring the molecular complexity of Triatoma dimidiata sialome

  • Paula Beatriz Santiago
  • , Carla Nunes de Araújo*
  • , Sébastien Charneau
  • , Izabela Marques Dourado Bastos
  • , Teresa Cristina F. Assumpção
  • , Rayner Myr Lauterjung Queiroz
  • , Yanna Reis Praça
  • , Thuany de Moura Cordeiro
  • , Carlos Henrique Saraiva Garcia
  • , Ionizete Garcia da Silva
  • , Tainá Raiol
  • , Flávia Nader Motta
  • , João Victor de Araújo Oliveira
  • , Marcelo Valle de Sousa
  • , José Marcos C. Ribeiro
  • , Jaime Martins de Santana
  • *Corresponding author for this work
  • Universidade de Brasília
  • National Institute of Allergy and Infectious Diseases
  • The University of Goiás
  • Fiocruz Amazônia

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Triatoma dimidiata, a Chagas disease vector widely distributed along Central America, has great capability for domestic adaptation as the majority of specimens caught inside human dwellings or in peridomestic areas fed human blood. Exploring the salivary compounds that overcome host haemostatic and immune responses is of great scientific interest. Here, we provide a deeper insight into its salivary gland molecules. We used high-throughput RNA sequencing to examine in depth the T. dimidiata salivary gland transcriptome. From > 51 million reads assembled, 92.21% are related to putative secreted proteins. Lipocalin is the most abundant gene family, confirming it is an expanded family in Triatoma genus salivary repertoire. Other putatively secreted members include phosphatases, odorant binding protein, hemolysin, proteases, protease inhibitors, antigen-5 and antimicrobial peptides. This work expands the previous set of functionally annotated sequences from T. dimidiata salivary glands available in NCBI from 388 to 3815. Additionally, we complemented the salivary analysis through proteomics (available data via ProteomeXchange with identifier PXD008510), disclosing the set complexity of 119 secreted proteins and validating the transcriptomic results. Our large-scale approach enriches the pharmacologically active molecules database and improves our knowledge about the complexity of salivary compounds from haematophagous vectors and their biological interactions. Significance Several haematophagous triatomine species can transmit Trypanosoma cruzi, the etiological agent of Chagas disease. Due to the reemergence of this disease, new drugs for its prevention and treatment are considered priorities. For this reason, the knowledge of vector saliva emerges as relevant biological finding, contributing to the design of different strategies for vector control and disease transmission. Here we report the transcriptomic and proteomic compositions of the salivary glands (sialome) of the reduviid bug Triatoma dimidiata, a relevant Chagas disease vector in Central America. Our results are robust and disclosed unprecedented insights into the notable diversity of its salivary glands content, revealing relevant anti-haemostatic salivary gene families. Our work expands almost ten times the previous set of functionally annotated sequences from T. dimidiata salivary glands available in NCBI. Moreover, using an integrated transcriptomic and proteomic approach, we showed a correlation pattern of transcription and translation processes for the main gene families found, an important contribution to the research of triatomine sialomes. Furthermore, data generated here reinforces the secreted proteins encountered can greatly contribute for haematophagic habit, Trypanosoma cruzi transmission and development of therapeutic agent studies.

Original languageEnglish
Pages (from-to)47-60
Number of pages14
JournalJournal of Proteomics
Volume174
DOIs
StatePublished - 1 Mar 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Chagas disease
  • Haematophagy
  • Sialome
  • Triatoma dimidiata
  • Triatominae
  • Vector biology

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