Evidence map›Paper›PMID 27010366›Full record

ArticleMolecular plant pathology2017

Prediction of the in planta Phakopsora pachyrhizi secretome and potential effector families.

Mayra C da C G de Carvalho, Leandro Costa Nascimento, Luana M Darben, Adriana M Polizel-Podanosqui, Valéria S Lopes-Caitar, Mingsheng Qi, Carolina S Rocha, Marcelo Falsarella Carazzolle, Márcia K Kuwahara, Goncalo A G Pereira and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular plant pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Candidate Effectors FromFrontiers in plant science · 2019
    Article
  10. Review
  11. 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

13 authors at 5 institutions in 2 countries.

Mayra C da C G de CarvalhoUniversidade Estadual do Norte do Paraná, Bandeirantes, Paraná, CEP 86360-000, Brazil.
Leandro Costa NascimentoLaboratório de Genômica e Expressão (LGE) - Instituto de Biologia - Universidade Estadual de Campinas, Campinas, São Paulo, CEP 13083-862, Brazil.
Luana M DarbenEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.
Adriana M Polizel-PodanosquiEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.
Valéria S Lopes-CaitarEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.
Mingsheng QiPlant Pathology and Microbiology, Iowa State University, Ames, IA 50011, USA.
Carolina S RochaEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.
Marcelo Falsarella CarazzolleLaboratório de Genômica e Expressão (LGE) - Instituto de Biologia - Universidade Estadual de Campinas, Campinas, São Paulo, CEP 13083-862, Brazil.
Márcia K KuwaharaEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.
Goncalo A G PereiraLaboratório de Genômica e Expressão (LGE) - Instituto de Biologia - Universidade Estadual de Campinas, Campinas, São Paulo, CEP 13083-862, Brazil.
Ricardo V AbdelnoorEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.
Steven A WhithamPlant Pathology and Microbiology, Iowa State University, Ames, IA 50011, USA.
Francismar C Marcelino-GuimarãesEmbrapa soja, Plant Biotechnology, Londrina, Paraná, CEP 70770-901, Brazil.ORCID 0000-0002-5828-7249
Brazilian Agricultural Research Corporation · BRUniversidade Estadual de Campinas (UNICAMP) · BRIowa State University · USUniversidade Estadual de Londrina · 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), caused by the obligate biotrophic fungus Phakopsora pachyrhizi, can cause losses greater than 80%. Despite its economic importance, there is no soybean cultivar with durable ASR resistance. In addition, the P. pachyrhizi genome is not yet available. However, the availability of other rust genomes, as well as the development of sample enrichment strategies and bioinformatics tools, has improved our knowledge of the ASR secretome and its potential effectors. In this context, we used a combination of laser capture microdissection (LCM), RNAseq and a bioinformatics pipeline to identify a total of 36 350 P. pachyrhizi contigs expressed in planta and a predicted secretome of 851 proteins. Some of the predicted secreted proteins had characteristics of candidate effectors: small size, cysteine rich, do not contain PFAM domains (except those associated with pathogenicity) and strongly expressed in planta. A comparative analysis of the predicted secreted proteins present in Pucciniales species identified new members of soybean rust and new Pucciniales- or P. pachyrhizi-specific families (tribes). Members of some families were strongly up-regulated during early infection, starting with initial infection through haustorium formation. Effector candidates selected from two of these families were able to suppress immunity in transient assays, and were localized in the plant cytoplasm and nuclei. These experiments support our bioinformatics predictions and show that these families contain members that have functions consistent with P. pachyrhizi effectors.

Indexed as

MetabolomeAmino Acid SequenceCell NucleusCluster AnalysisFungal ProteinsGene Expression ProfilingGene OntologyGlycine maxMultigene FamilyNicotianaPhakopsora pachyrhiziPhylogenyPlant DiseasesPlant ImmunityPlant LeavesTranscriptomeFungal ProteinseffectorsETI suppressionLCMP. pachyrhizisecretomesoybean rusttranscriptome

Identifiers

PMID27010366
PMCPMC6638266
OpenAlexW2303783270

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.