Evidence map›Paper›PMID 35095973›Full record

ArticleFrontiers in plant science2021

Belowground Chemical Interactions: An Insight Into Host-Specific Behavior of

Joanna Kud, Syamkumar Sivasankara Pillai, Gabriel Raber, Allan Caplan, Joseph C Kuhl, Fangming Xiao, Louise-Marie Dandurand

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2021. 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
2.3field-weighted citation impact, top 12% 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, 12 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Joanna KudDepartment of Entomology, Plant Pathology, and Nematology, University of Idaho, Moscow, ID, United States.
Syamkumar Sivasankara PillaiDepartment of Entomology, Plant Pathology, and Nematology, University of Idaho, Moscow, ID, United States.
Gabriel RaberDepartment of Entomology, Plant Pathology, and Nematology, University of Idaho, Moscow, ID, United States.
Allan CaplanDepartment of Plant Sciences, University of Idaho, Moscow, ID, United States.
Joseph C KuhlDepartment of Plant Sciences, University of Idaho, Moscow, ID, United States.
Fangming XiaoDepartment of Plant Sciences, University of Idaho, Moscow, ID, United States.
Louise-Marie DandurandDepartment of Entomology, Plant Pathology, and Nematology, University of Idaho, Moscow, ID, United States.
University of Idaho · US

Funding

NM-INBRE Sequencing and Bioinformatics CoreP20GM103451 · NIGMS · NEW MEXICO STATE UNIVERSITY LAS CRUCES · PI Charlotte C. Gard · 2012 to 2026
$61.2M
NIGMS NIH HHS P20 GM103451
6 · The paper itself

Abstract

Understanding belowground chemical interactions between plant roots and plant-parasitic nematodes is immensely important for sustainable crop production and soilborne pest management. Due to metabolic diversity and ever-changing dynamics of root exudate composition, the impact of only certain molecules, such as nematode hatching factors, repellents, and attractants, has been examined in detail. Root exudates are a rich source of biologically active compounds, which plants use to shape their ecological interactions. However, the impact of these compounds on nematode parasitic behavior is poorly understood. In this study, we specifically address this knowledge gap in two cyst nematodes,

Indexed as

belowground defensesGlobodera spp.pest managementpotatoRNA-Seqroot exudatesSolanum sisymbriifolium

Identifiers

PMID35095973
PMCPMC8791010
OpenAlexW4205337674

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.