Evidence map›Paper›PMID 23148687›Full record

ArticleBMC genomics2012

The Schistosoma mansoni phylome: using evolutionary genomics to gain insight into a parasite's biology.

Larissa Lopes Silva, Marina Marcet-Houben, Laila Alves Nahum, Adhemar Zerlotini, Toni Gabaldón, Guilherme Oliveira

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Schistosomiasis.Advances in experimental medicine and biology · 2024
    Review
  2. RevisitingBiomolecules · 2023
    Article
  3. Perspectives From Systems Biology to Improve Knowledge ofFrontiers in cellular and infection microbiology · 2021
    Article
  4. Review
  5. Article
  6. Article
  7. Tackling Hypotheticals in Helminth Genomes.Trends in parasitology · 2018
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 3 institutions in 2 countries.

Larissa Lopes SilvaGrupo de Genômica e Biologia Computacional, Centro de Pesquisas René Rachou, Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Fundação Oswaldo Cruz - FIOCRUZ, Belo Horizonte, MG, 30190-002, Brazil.
Marina Marcet-Houben
Laila Alves Nahum
Adhemar Zerlotini
Toni Gabaldón
Guilherme Oliveira
Fundação Oswaldo Cruz · BRPompeu Fabra University · ESCentro de Excelência em Bioinformática · BR

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 TW007012
6 · The paper itself

Abstract

backgroundSchistosoma mansoni is one of the causative agents of schistosomiasis, a neglected tropical disease that affects about 237 million people worldwide. Despite recent efforts, we still lack a general understanding of the relevant host-parasite interactions, and the possible treatments are limited by the emergence of resistant strains and the absence of a vaccine. The S. mansoni genome was completely sequenced and still under continuous annotation. Nevertheless, more than 45% of the encoded proteins remain without experimental characterization or even functional prediction. To improve our knowledge regarding the biology of this parasite, we conducted a proteome-wide evolutionary analysis to provide a broad view of the S. mansoni's proteome evolution and to improve its functional annotation.

resultsUsing a phylogenomic approach, we reconstructed the S. mansoni phylome, which comprises the evolutionary histories of all parasite proteins and their homologs across 12 other organisms. The analysis of a total of 7,964 phylogenies allowed a deeper understanding of genomic complexity and evolutionary adaptations to a parasitic lifestyle. In particular, the identification of lineage-specific gene duplications pointed to the diversification of several protein families that are relevant for host-parasite interaction, including proteases, tetraspanins, fucosyltransferases, venom allergen-like proteins, and tegumental-allergen-like proteins. In addition to the evolutionary knowledge, the phylome data enabled us to automatically re-annotate 3,451 proteins through a phylogenetic-based approach rather than solely sequence similarity searches. To allow further exploitation of this valuable data, all information has been made available at PhylomeDB (http://www.phylomedb.org).

conclusionsIn this study, we used an evolutionary approach to assess S. mansoni parasite biology, improve genome/proteome functional annotation, and provide insights into host-parasite interactions. Taking advantage of a proteome-wide perspective rather than focusing on individual proteins, we identified that this parasite has experienced specific gene duplication events, particularly affecting genes that are potentially related to the parasitic lifestyle. These innovations may be related to the mechanisms that protect S. mansoni against host immune responses being important adaptations for the parasite survival in a potentially hostile environment. Continuing this work, a comparative analysis involving genomic, transcriptomic, and proteomic data from other helminth parasites, other parasites, and vectors will supply more information regarding parasite's biology as well as host-parasite interactions.

Indexed as

Gene DuplicationMolecular Sequence AnnotationAdaptation, PhysiologicalAllergensAnimalsBiological EvolutionDatabases, GeneticFucosyltransferasesGenomicsHelminth ProteinsHost-Parasite InteractionsHumansPeptide HydrolasesPhylogenyProteomeSchistosoma mansoniAllergensFucosyltransferasesHelminth ProteinsPeptide HydrolasesProteomeTetraspanins

Identifiers

PMID23148687
PMCPMC3534613
OpenAlexW2024072710

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.