Literature DB >> 28591407

Insights from tissue-specific transcriptome sequencing analysis of Triatoma infestans.

Leilane O Gonçalves1,2, de Oliveira Luciana M1,3, C D'Ávila Pessoa Grasielle4, Aline Cl Rosa4, Marinely G Bustamante4, Carlota J Belisário4, Daniela M Resende1,5, Lileia G Diotaiuti4, Jeronimo C Ruiz1.   

Abstract

Triatoma infestans is an insect of subfamily Triatominae (Hemiptera: Reduviidae) and an important vector of Trypanosoma cruzi, the etiologic agent of human Chagas disease. In this work we reported a transcriptome assembly and annotation of T. infestans heads obtained by Next Generation Sequencing (NGS) technologies.

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Year:  2017        PMID: 28591407      PMCID: PMC5446236          DOI: 10.1590/0074-02760160473

Source DB:  PubMed          Journal:  Mem Inst Oswaldo Cruz        ISSN: 0074-0276            Impact factor:   2.743


Triatoma infestans is one of the vectors of Trypanosoma cruzi, the etiologic agent of human Chagas disease in South America. It’s estimated that about 6-8 million people, mostly in Latin America, are infected worldwide and approximately 10,000 deaths per year were reported (Medone et al. 2015). T. infestans has high anthropophily, high colonisation capacity and high rates of infection. Because of these features, this triatominae is the main vector in the countries where it occurs, Bolivia, Argentina and Paraguay (Silveira 2002, Coura & Dias 2009), where T. infestans populations that are resistant to pyrethroid insecticides have been a problem for the Chagas disease control (Vassena & Picollo 2003, Audino et al. 2004, Picollo et al. 2005, Toloza et al. 2008, Germano et al. 2010, Lardeux et al. 2010, Gomez et al. 2015). In order to obtain the transcriptional profile of T. infestans, a total of seven samples from two Bolivian populations (Chaco and Bolivian Valley) were used. Each sample was a pool of twenty heads from nymphs on the third instar and was sequenced separately. Heads were chosen with the intention of obtaining transcripts that could be related to the neurotoxicity of the insecticides. The RNA was extracted using TRIzol® Reagent kit (Invitrogen) and measured in Nanodrop® (Invitrogen). To the cDNA synthesis it was used 50 µg of RNA. The sequencing of the paired end mRNA enriched libraries was performed on Illumina MiSeq platform. A total of 11,731,170 reads were generated, and the quality control was performed with PRINSEQ (Schmieder & Edwards 2011). Data filtering and trimming was performed with Trimmomatic (Bolger et al. 2014). Sequence artifacts such as sequencing adapters were removed using data available at Trimmomatic software package. Using a cutoff of Phred quality ≥ 25 and a minimum read length of 100 bp, a total of 10,335,132 reads from all samples were assembled together using Trinity (Haas et al. 2013) and for reduce the transcripts redundancy Cap3 (Huang & Madan 1999) was also applied. The detailed information about de novo transcriptome assembly is reported in Table. The Trinity package identified a total of 65,043 transcripts with a median length of 313 bp and a N50 value of 466.
TABLE

Summary of transcriptome assembly

Total of Trinity ‘genes’62,449 
Total of Trinity transcripts65,043 
G + C content36,59% 
N50466 
Median contig length313 bp 
Total of Cap3 contigs5,219
Total of Cap3 singlets50,680 
The functional annotation was performed using BLAST (Altschul et al. 1990) searching tool against non-redundant (NR) protein from NCBI and Swiss-Prot databases. The functional annotation results revealed that 58% and 72% of the proteins presented no hits to known sequences in the NR and Swiss-Prot databases, respectively. Regarding the NR comparison, among the proteins assigned with biological functions, ~38% (9,111 proteins) have high sequence similarity (≥ 70%) with Cimex lectularius and ~23% (5,390 proteins) with Halyomorpha halys. Only 275 (~1%) proteins could be assigned for Triatoma spp and 163 (~0.7%) proteins to Rhodnius prolixus. None of the transcripts obtained was related to the cytotoxicity of pyrethroid insecticides. Summarising, this work has the potential to contribute to a better understanding of the transcriptional profile linked with one of the most important vectors of the etiologic agent of human Chagas disease, T. infestans. Accession codes - The BioProject accession number is PRJNA348445. The data used in this project has been deposited at SRA under the accession numbers SRR4427078, SRR4427079, SRR4449814, SRR4449815, SRR4449939, SRR4449940, SRR4449941 and BioSamples codes: SAMN05908558 and SAMN05908559.
  13 in total

1.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  High resistance to pyrethroid insecticides associated with ineffective field treatments in Triatoma infestans (Hemiptera: Reduviidae) from Northern Argentina.

Authors:  María Inés Picollo; Claudia Vassena; Pablo Santo Orihuela; Silvia Barrios; Mario Zaidemberg; Eduardo Zerba
Journal:  J Med Entomol       Date:  2005-07       Impact factor: 2.278

3.  New findings of insecticide resistance in Triatoma infestans (Heteroptera: Reduviidae) from the Gran Chaco.

Authors:  M D Germano; G Roca Acevedo; G A Mougabure Cueto; A C Toloza; C V Vassena; M I Picollo
Journal:  J Med Entomol       Date:  2010-11       Impact factor: 2.278

4.  Life History Traits and Demographic Parameters of Triatoma infestans (Hemiptera: Reduviidae) Fed on Human Blood.

Authors:  Paula Medone; Agustin Balsalobre; Jorge E Rabinovich; Gerardo A Marti; Frédéric Menu
Journal:  J Med Entomol       Date:  2015-09-15       Impact factor: 2.278

5.  Role of enhanced detoxication in a deltamethrin-resistant population of Triatoma infestans (Hemiptera, Reduviidae) from Argentina.

Authors:  Paola González Audino; Claudia Vassena; Silvia Barrios; Eduardo Zerba; María Inés Picollo
Journal:  Mem Inst Oswaldo Cruz       Date:  2004-07-19       Impact factor: 2.743

6.  Epidemiology, control and surveillance of Chagas disease: 100 years after its discovery.

Authors:  José Rodrigues Coura; João Carlos Pinto Dias
Journal:  Mem Inst Oswaldo Cruz       Date:  2009-07       Impact factor: 2.743

7.  De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis.

Authors:  Brian J Haas; Alexie Papanicolaou; Moran Yassour; Manfred Grabherr; Philip D Blood; Joshua Bowden; Matthew Brian Couger; David Eccles; Bo Li; Matthias Lieber; Matthew D MacManes; Michael Ott; Joshua Orvis; Nathalie Pochet; Francesco Strozzi; Nathan Weeks; Rick Westerman; Thomas William; Colin N Dewey; Robert Henschel; Richard D LeDuc; Nir Friedman; Aviv Regev
Journal:  Nat Protoc       Date:  2013-07-11       Impact factor: 13.491

8.  Quality control and preprocessing of metagenomic datasets.

Authors:  Robert Schmieder; Robert Edwards
Journal:  Bioinformatics       Date:  2011-01-28       Impact factor: 6.937

9.  Inheritance and heritability of deltamethrin resistance under laboratory conditions of Triatoma infestans from Bolivia.

Authors:  Marinely Bustamante Gomez; Grasielle D'Avila Caldas Pessoa; Aline Cristine Luiz Rosa; Jorge Espinoza Echeverria; Liléia Gonçalves Diotaiuti
Journal:  Parasit Vectors       Date:  2015-11-16       Impact factor: 3.876

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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  1 in total

1.  Transcriptomic modulation in response to an intoxication with deltamethrin in a population of Triatoma infestans with low resistance to pyrethroids.

Authors:  Lucila Traverso; Jose Manuel Latorre Estivalis; Gabriel da Rocha Fernandes; Georgina Fronza; Patricia Lobbia; Gastón Mougabure Cueto; Sheila Ons
Journal:  PLoS Negl Trop Dis       Date:  2022-06-29
  1 in total

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