Evidence map›Paper›PMID 29442617›Full record

ArticleMicrobial genomics2018

Assembly of highly repetitive genomes using short reads: the genome of discrete typing unit III Trypanosoma cruzi strain 231.

Rodrigo P Baptista, Joao Luis Reis-Cunha, Jeremy D DeBarry, Egler Chiari, Jessica C Kissinger, Daniella C Bartholomeu, Andrea M Macedo

Abstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Genome sequence assembly and annotation ofNAR genomics and bioinformatics · 2025
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  4. ClinicalbioRxiv : the preprint server for biology · 2025
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  5. Pathogens (Basel, Switzerland) · 2025
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  7. Article
  8. DNA Sequencing and the Third-Generation Sequencing Revolution.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Article
  15. Consensus Enolase ofLife (Basel, Switzerland) · 2022
    Article
  16. Microbiology spectrum · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. AssessingPathogens (Basel, Switzerland) · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rodrigo P Baptista1​Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.
Joao Luis Reis-Cunha3​Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Jeremy D DeBarry1​Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.
Egler Chiari3​Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Jessica C Kissinger1​Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.
Daniella C Bartholomeu3​Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Andrea M Macedo5​Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Funding

INFORMATICS TRAINING FOR BRAZILIAN VECTOR AND PARASITIC DISEASED43TW007012 · FIC · UNIVERSITY OF GEORGIA (UGA) · PI KISSINGER, JESSICA C · 2004 to 2013
$1.9M
FIC NIH HHS D43 TW007012
6 · The paper itself

Abstract

Next-generation sequencing (NGS) methods are low-cost high-throughput technologies that produce thousands to millions of sequence reads. Despite the high number of raw sequence reads, their short length, relative to Sanger, PacBio or Nanopore reads, complicates the assembly of genomic repeats. Many genome tools are available, but the assembly of highly repetitive genome sequences using only NGS short reads remains challenging. Genome assembly of organisms responsible for important neglected diseases such as Trypanosoma cruzi, the aetiological agent of Chagas disease, is known to be challenging because of their repetitive nature. Only three of six recognized discrete typing units (DTUs) of the parasite have their draft genomes published and therefore genome evolution analyses in the taxon are limited. In this study, we developed a computational workflow to assemble highly repetitive genomes via a combination of de novo and reference-based assembly strategies to better overcome the intrinsic limitations of each, based on Illumina reads. The highly repetitive genome of the human-infecting parasite T. cruzi 231 strain was used as a test subject. The combined-assembly approach shown in this study benefits from the reference-based assembly ability to resolve highly repetitive sequences and from the de novo capacity to assemble genome-specific regions, improving the quality of the assembly. The acceptable confidence obtained by analyzing our results showed that our combined approach is an attractive option to assemble highly repetitive genomes with NGS short reads. Phylogenomic analysis including the 231 strain, the first representative of DTU III whose genome was sequenced, was also performed and provides new insights into T. cruzi genome evolution.

Indexed as

Chagas DiseaseChromosome MappingGenome, ProtozoanHigh-Throughput Nucleotide SequencingPhylogenyRepetitive Sequences, Nucleic AcidTrypanosoma cruziWhole Genome SequencingDTUsevolutiongenome assemblyTrypanosoma cruzi

Identifiers

PMID29442617
PMCPMC5989580

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.