Evidence map›Paper›PMID 27014295›Full record

ArticleFrontiers in plant science2016

Identification of Phakopsora pachyrhizi Candidate Effectors with Virulence Activity in a Distantly Related Pathosystem.

Sridhara G Kunjeti, Geeta Iyer, Ebony Johnson, Eric Li, Karen E Broglie, Gilda Rauscher, Gregory J Rairdan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Development of a NovelJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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 at 3 institutions in 1 country.

Sridhara G KunjetiDuPont Experimental Station Wilmington, DE, USA.
Geeta IyerDuPont Experimental Station Wilmington, DE, USA.
Ebony JohnsonDuPont Experimental Station Wilmington, DE, USA.
Eric LiDuPont Experimental Station Wilmington, DE, USA.
Karen E BroglieDuPont Experimental Station Wilmington, DE, USA.
Gilda RauscherDuPont Experimental Station Wilmington, DE, USA.
Gregory J RairdanDuPont Experimental Station Wilmington, DE, USA.
Wilmington University · USDuPont (United States) · USExperimental Station · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phakopsora pachyrhizi is the causal agent of Asian Soybean Rust, a disease that causes enormous economic losses, most markedly in South America. P. pachyrhizi is a biotrophic pathogen that utilizes specialized feeding structures called haustoria to colonize its hosts. In rusts and other filamentous plant pathogens, haustoria have been shown to secrete effector proteins into their hosts to permit successful completion of their life cycle. We have constructed a cDNA library from P. pachyrhizi haustoria using paramagnetic bead-based methodology and have identified 35 P. pachyrhizi candidate effector (CE) genes from this library which are described here. In addition, we quantified the transcript expression pattern of six of these genes and show that two of these CEs are able to greatly increase the susceptibility of Nicotiana benthamiana to Phytophthora infestans. This strongly suggests that these genes play an important role in P. pachyrhizi virulence on its hosts.

Indexed as

Asian soybean rusteffectorssoybeanvirulence

Identifiers

PMID27014295
PMCPMC4781881
OpenAlexW2297931152

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.