Bloodmeal metabarcoding of Triatoma dimidiata from Guatemala
Data files
Jul 02, 2025 version files 6.05 GB
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01_GTP_Pool_1_S1_L001_R1_001_val_1.fq.gz
892.46 MB
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01_GTP_Pool_1_S1_L001_R2_001_val_2.fq.gz
928.88 MB
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02_GTP_Pool_2_S2_L001_R1_001_val_1.fq.gz
556.11 MB
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02_GTP_Pool_2_S2_L001_R2_001_val_2.fq.gz
582.42 MB
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03_GTP_Pool_3_S3_L001_R1_001_val_1.fq.gz
592.68 MB
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03_GTP_Pool_3_S3_L001_R2_001_val_2.fq.gz
655.73 MB
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04_GTP_Pool_4_S4_L001_R1_001_val_1.fq.gz
377.68 MB
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04_GTP_Pool_4_S4_L001_R2_001_val_2.fq.gz
462.77 MB
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05_GTP_Pool_5_S5_L001_R1_001_val_1.fq.gz
463 MB
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05_GTP_Pool_5_S5_L001_R2_001_val_2.fq.gz
536.12 MB
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README.md
6.05 KB
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SamplenamesandBarcodes.xlsx
15.74 KB
Abstract
Trypanosoma cruzi, the causative agent of Chagas disease, is primarily transmitted by triatomine insects, including Triatoma dimidiata. In Central America, vector control programs have significantly reduced transmission; however, certain regions, such as Comapa, Jutiapa, Guatemala, continue to experience persistent T. dimidiata infestation.
Amplicon deep-sequencing analysis from triatomines identified seven vertebrate species and one insect family as hosts upon which triatomines have previously fed, with chickens being the most common blood source, followed by rats, dogs, humans, cats, pigs, ducks, mice, and a genus of cockroaches.
https://doi.org/10.5061/dryad.pzgmsbczg
Description of the data and file structure
The data from this submission belong to the following two manuscripts.
Jose G. Juarez, Andrea M. Moller-Vasquez, María Granados-Presa, Pamela Pennington, Norma Padilla, Sujata Balasubramanian, Lisa D. Auckland, Elsa Berganza, Estuardo Alvarado Liberato, Henry Esquivel, Ranferi Trampe, Louisa A. Messenger, Celia Córdon-Rosales, Gabriel L. Hamer, Sarah A. Hamer.(2025) Triatoma dimidiata, domestic animals and acute Chagas disease: A 10-year follow-up after an eco-bio-social intervention. Parasites and Vectors.
Yuexun Tian, Nadia Fernandez, Jose G. Juarez, Henry Esquivel, Andrea M. Moller-Vasquez, María Granados-Presa, Adriana Echeverria, Pamela Pennington, Juan Pablo Fimbres-Macias, Walter Roachell, Paul Lenhart, Theresa Casey, Molly Keck, Carolyn Hodo, Chris Downs, Sarah Sittenauer, Claire Nevins, Sujata Balasubramanian, Carlos Angulo, Carlos Palacios-Cardiel, Ramon Gaxiola-Robles, Tania Zenteno-Savin, Sarah Hamer, John Borden, Michael Banfield, Norma Padilla, Gabriel L. Hamer. (2025) Advancing the design of the kissing bug kill trap for the surveillance of triatomines. (Submitted for review)
This data is generated towards identifying blood meals carried by triatomines collected in 2022 in Guatemala, the department of Jutiapa, municipality of Comapa, located in southeastern Guatemala. The method of collection is described in MSPAS. 2012.Manual Operativo de Vigilancia y Control Entomológico de La Enfermedad de Chagas. 36.
Amplicons were generated from DNA extracted from the midguts of the collected Triatomines and sequenced on the Illumina Nextseq platform. This data contains amplicons covering a 145bp fragment of the 12S rRNA vertebrate locus. (Humair et al., 2007 “Molecular Identification of Bloodmeal Source in Ixodes Ricinus Ticks Using 12S rDNA As a Genetic Marker.”)
Individual triatomine insects (see Sample Name column in the SamplenamesandBarcodes.xlsx file) were subject to PCR with primers - Forward CAAACTGGGATTAGATACC and Reverse AGAACAGGCTCCTCTAG in duplicate. Primers included barcode columns (see barcodes in Samplenames and Barcodes.xlsx file).
Each replicate for every sample has an individual barcode tag that can be used to demultiplex and sort from the R1 and R2 files. If using Cutadapt/Qiime2, the commands are available in the Cutadapt and Qiime commands.txt file.
Files and variables
File: 01_GTP_Pool_1_S1_L001_R1_001_val_1.fq.gz
Description: R1 of paired-end Illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 01_GTP_Pool_1_S1_L001_R2_001_val_2.fq.gz
Description: R2 of paired-end Illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx
File: 02_GTP_Pool_2_S2_L001_R1_001_val_1.fq.gz
Description: R1 of paired-end Illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 02_GTP_Pool_2_S2_L001_R2_001_val_2.fq.gz
Description: R2 of paired-end Illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 03_GTP_Pool_3_S3_L001_R1_001_val_1.fq.gz
Description: R1 of paired-end Illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 03_GTP_Pool_3_S3_L001_R2_001_val_2.fq.gz
Description: R2 of paired-end illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 04_GTP_Pool_4_S4_L001_R1_001_val_1.fq.gz
Description: R1 of paired-end illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 04_GTP_Pool_4_S4_L001_R2_001_val_2.fq.gz
Description: R2 of paired-end illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 05_GTP_Pool_5_S5_L001_R1_001_val_1.fq.gz
Description: R1 of paired-end illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx.
File: 05_GTP_Pool_5_S5_L001_R2_001_val_2.fq.gz
Description: R2 of paired-end illumina sequencing data file with quality information. For sample names covered under this file, please see SamplenamesandBarcodes.xlsx
File: SamplenamesandBarcodes.xlsx
Description: List of samples matched to the barcodes that can be used to demultiplex data from the listed paired end sequencing files.
Code/software
Please see the file CutadaptandQiimecommands.txt for the commands used to process this data. While this data can be analysed using different tools, the tools used were Cutadapt and Qiime2
Martin, Marcel. “Cutadapt Removes Adapter Sequences from High-Throughput Sequencing Reads.” EMBnet.Journal 17, no. 1 (May 2, 2011): 10–12. https://doi.org/10.14806/ej.17.1.200.
Bolyen, Evan, Jai Ram Rideout, Matthew R. Dillon, Nicholas A. Bokulich, Christian C. Abnet, Gabriel A. Al-Ghalith, Harriet Alexander, et al. “Reproducible, Interactive, Scalable and Extensible Microbiome Data Science Using QIIME 2.” Nature Biotechnology 37, no. 8 (August 2019): 852–57. https://doi.org/10.1038/s41587-019-0209-9.
Access information
Other publicly accessible locations of the data:
- None
Data was derived from the following sources:
- N/A
Between June and August 2022, entomological surveys were conducted in four communities of Comapa. Households were systematically searched for triatomines, which were collected and processed for bloodmeal analysis to assess host feeding patterns.