Omics Tools Applied to the Study of Chagas Disease Vectors: Cytogenomics and Genomics

Author:

Borsatto Kelly Cristine1,Coronado Monika Aparecida1,Arni Raghuvir Krishnaswamy1,Cesar Chaboli Alevi Kaio2

Affiliation:

1. 1Departamento de Física, Instituto de Biociências Letras e Ciências Exatas, Centro Multiusuário de Inovação Biomolecular, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), São José do Rio Preto, Brazil;

2. 2Departamento de Ciências Biológicas, Faculdade de Ciências Farmacêuticas, Laboratório de Parasitologia, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Araraquara, Brazil

Abstract

Abstract.Chagas disease is an illness caused by the protozoan Trypanosoma cruzi that is distributed in 21 countries of Latin America. The main way of transmission of T. cruzi is through the feces of triatomines infected with the parasite. With technological advances came new technologies called omics. In the pre-genomic era, the omics science was based on cytogenomic studies of triatomines. With the Rhodnius prolixus genome sequencing project, new omics tools were applied to understand the organism at a systemic level and not just from a genomic point of view. Thus, the present review aims to put together the cytogenomic and genomic information available in the literature for Chagas disease vectors. Here, we review all studies related to cytogenomics and genomics of Chagas disease vectors, contributing to the direction of further research with these insect vectors, because it was evident that most studies focus on cytogenomic knowledge of the species. Given the importance of genomic studies, which contributed to the knowledge of taxonomy, systematics, as well as the vector’s biology, the need to apply these techniques in other genera and species of Triatominae subfamily is emphasized.

Publisher

American Society of Tropical Medicine and Hygiene

Subject

Virology,Infectious Diseases,Parasitology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. -Omics Technologies and Big Data;Methodologies of Multi-Omics Data Integration and Data Mining;2023

2. Transcriptomics Applied to the Study of Chagas Disease Vectors;The American Journal of Tropical Medicine and Hygiene;2022-04-06

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