Evidence map›Paper›PMID 25336895›Full record

ArticleEvolutionary bioinformatics online2014

The Comparative Genomics and Phylogenomics of Leishmania amazonensis Parasite.

Diogo A Tschoeke, Gisele L Nunes, Rodrigo Jardim, Joana Lima, Aline Sr Dumaresq, Monete R Gomes, Leandro de Mattos Pereira, Daniel R Loureiro, Patricia H Stoco, Herbert Leonel de Matos Guedes and 9 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2014. 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
3.5field-weighted citation impact, top 8% 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, 28 citations in OpenAlex.

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  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
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

19 authors at 1 institution in 1 country.

Diogo A TschoekePólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Laboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Gisele L NunesLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Rodrigo JardimPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Laboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Joana LimaLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Aline Sr DumaresqLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Monete R GomesLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Leandro de Mattos PereiraLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Daniel R LoureiroPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil.
Patricia H StocoLaboratório de Protozoologia, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
Herbert Leonel de Matos GuedesLaboratório de Inflamação Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. ; Wellcome Trust Centre for Molecular Parasitology, Institute of Immunity, Infection and Inflammation, College of MVLS, University of Glasgow, Glasgow, UK.
Antonio Basilio de MirandaPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Laboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Jeronimo RuizPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Instituto René Rachou (Fiocruz/IRR), Belo Horizonte, MG, Brazil.
André PitalugaLaboratório de Biologia Molecular de Parasitas e Vetores, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Floriano P SilvaPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Laboratório de Bioquímica de Proteínas e Peptídeos, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Christian M ProbstPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Instituto Carlos Chagas (Fiocruz/ICC), Curitiba, PR, Brazil.
Nicholas J DickensWellcome Trust Centre for Molecular Parasitology, Institute of Immunity, Infection and Inflammation, College of MVLS, University of Glasgow, Glasgow, UK.
Jeremy C MottramWellcome Trust Centre for Molecular Parasitology, Institute of Immunity, Infection and Inflammation, College of MVLS, University of Glasgow, Glasgow, UK.
Edmundo C GrisardLaboratório de Protozoologia, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
Alberto Mr DávilaPólo de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz (Fiocruz/IOC), Rio de Janeiro, RJ, Brazil. ; Laboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil.
Fundação Oswaldo Cruz · BR

Funding

Wellcome Trust 104111
6 · The paper itself

Abstract

Leishmaniasis is an infectious disease caused by Leishmania species. Leishmania amazonensis is a New World Leishmania species belonging to the Mexicana complex, which is able to cause all types of leishmaniasis infections. The L. amazonensis reference strain MHOM/BR/1973/M2269 was sequenced identifying 8,802 codifying sequences (CDS), most of them of hypothetical function. Comparative analysis using six Leishmania species showed a core set of 7,016 orthologs. L. amazonensis and Leishmania mexicana share the largest number of distinct orthologs, while Leishmania braziliensis presented the largest number of inparalogs. Additionally, phylogenomic analysis confirmed the taxonomic position for L. amazonensis within the "Mexicana complex", reinforcing understanding of the split of New and Old World Leishmania. Potential non-homologous isofunctional enzymes (NISE) were identified between L. amazonensis and Homo sapiens that could provide new drug targets for development.

Indexed as

comparative genomicsLeishmania amazonensisphylogenomics

Identifiers

PMID25336895
PMCPMC4182287
OpenAlexW2009493078

What OpenQuestion holds

Textmetadata
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.