Evidence map›Paper›PMID 37987853›Full record

ArticleStress biology2023

Life and death: the destiny of Phytophthora sojae determined by a receptor-like kinase.

He Wang, Wen-Ming Wang, Jing Fan

Open access · diamondAbstract read
In one paragraph

Article in Stress biology, 2023. 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
1.2field-weighted citation impact, top 15% 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, 3 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

3 authors at 1 institution in 1 country.

He WangState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China.
Wen-Ming WangState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China. j316wenmingwang@sicau.edu.cn.ORCID http://orcid.org/0000-0002-6652-5964
Jing FanState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China. fanjing13971@sicau.edu.cn.ORCID http://orcid.org/0000-0002-6747-4302
Sichuan Agricultural University · CN

Funding

National Natural Science Foundation of China 32372490Natural Science Foundation of Sichuan Province 2022NSFSC0174Sichuan Applied Fundamental Research Foundation 2022JDTD0023
6 · The paper itself

Abstract

Leucine-rich repeat receptor-like kinases (LRR-RLKs) are well known to act in plant growth, development, and defense responses. Plant LRR-RLKs locate on cell surface to sense and initiate responsive signals to a variety of extracellular stimuli, such as microbe-associated molecular patterns (MAMPs) released from microorganisms. LRR-RLKs are also present in microbes and function in microbial growth and development, but their roles in communicating with hosts are largely unknown. A recent study published in Nature Communications uncovered that a microbial LRR-RLK, PsRLK6, is required for oospore development in the sexual reproduction of Phytophthora sojae, an oomycete pathogen that causes root and stem rot in soybean. Meanwhile, PsRLK6 is recognized as a novel type of MAMP by an unknown plant LRR receptor-like protein and triggers immune responses in soybean, tomato, and Nicotiana benthamiana. The findings reveal dual roles of a pathogen LRR-RLK in determining both life through sexual reproduction and death through triggering plant immunity.

Indexed as

Microbe-associated molecular patternsOosporePhytophthora sojaePlant immunityPsRLK6

Identifiers

PMID37987853
PMCPMC10663419
OpenAlexW4388845212

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.