Evidence map›Paper›PMID 30235396›Full record

ArticleGenetics and molecular biology

New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta.

Michelle Pires Rincão, Mayra Costa da Cruz Gallo de Carvalho, Leandro Costa Nascimento, Valéria S Lopes-Caitar, Kenia de Carvalho, Luana M Darben, Alessandra Yokoyama, Marcelo Falsarella Carazzolle, Ricardo Vilela Abdelnoor, Francismar Correa Marcelino-Guimarães

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Breeding science · 2019
    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

10 authors at 4 institutions in 2 countries.

Michelle Pires RincãoPrograma de Pós-Graduação em Genétiva e Biologia Molecular, Departamento de Biologia Geral, Universidade Estadual de Londrina, Londrina, PR, Brazil.
Mayra Costa da Cruz Gallo de CarvalhoUniversidade Estadual do Norte do Paraná, Bandeirantes, PR, Brazil.
Leandro Costa NascimentoLaboratory of Genomics and Expression (LGE), Instituto de Biologia, Universidade Estadual de Campinas (Unicamp), Campinas, SP, Brazil.
Valéria S Lopes-CaitarPrograma de Pós-Graduação em Genétiva e Biologia Molecular, Departamento de Biologia Geral, Universidade Estadual de Londrina, Londrina, PR, Brazil.
Kenia de CarvalhoLaboratory of Plant Biotechnology and Bioinformatics, Embrapa Soja, Londrina, PR, Brazil.
Luana M DarbenLaboratory of Plant Biotechnology and Bioinformatics, Embrapa Soja, Londrina, PR, Brazil.
Alessandra YokoyamaLaboratory of Plant Biotechnology and Bioinformatics, Embrapa Soja, Londrina, PR, Brazil.
Marcelo Falsarella CarazzolleLaboratory of Genomics and Expression (LGE), Instituto de Biologia, Universidade Estadual de Campinas (Unicamp), Campinas, SP, Brazil.
Ricardo Vilela AbdelnoorLaboratory of Plant Biotechnology and Bioinformatics, Embrapa Soja, Londrina, PR, Brazil.
Francismar Correa Marcelino-GuimarãesLaboratory of Plant Biotechnology and Bioinformatics, Embrapa Soja, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0002-5828-7249
Brazilian Agricultural Research Corporation · BRUniversidade Estadual de Londrina · BRUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Estadual do Norte do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asian soybean rust (ASR) is one of the most destructive diseases affecting soybeans. The causative agent of ASR, the fungus Phakopsora pachyrhizi, presents characteristics that make it difficult to study in vitro, limiting our knowledge of plant-pathogen dynamics. Therefore, this work used leaf lesion laser microdissection associated with deep sequencing to determine the pathogen transcriptome during compatible and incompatible interactions with soybean. The 36,350 generated unisequences provided an overview of the main genes and biological pathways that were active in the fungus during the infection cycle. We also identified the most expressed transcripts, including sequences similar to other fungal virulence and signaling proteins. Enriched P. pachyrhizi transcripts in the resistant (PI561356) soybean genotype were related to extracellular matrix organization and metabolic signaling pathways and, among infection structures, in amino acid metabolism and intracellular transport. Unisequences were further grouped into gene families along predicted sequences from 15 other fungi and oomycetes, including rust fungi, allowing the identification of conserved multigenic families, as well as being specific to P. pachyrhizi. The results revealed important biological processes observed in P. pachyrhizi, contributing with information related to fungal biology and, consequently, a better understanding of ASR.

Identifiers

PMID30235396
PMCPMC6136362
OpenAlexW2890643608

What OpenQuestion holds

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LicenceCC BY
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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.