Evidence map›Paper›PMID 30967024›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Overview: biotic signalling for smart pest management.

Le Kang

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Le Kang1 State Key Laboratory for Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences , Beijing 100101 , People's Republic of China.
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotic signalling refers to species or phylogenetic-clade-specific signals that elicit adaptive and acceptable responses within and among organisms. It is not only the molecular basis of the ecological relationships among different species, such as parasitism, symbiosis and predation, but also serves as ideal targets that can be used to manipulate these ecological relationships. This concept was proposed by a group of scientists from the Chinese Academy of Sciences (CAS) and actively pursued in a five-year research project in 2014 funded by the CAS ($40 million), entitled 'Decoding biotic interactions and mechanism for target management of agricultural pests'. The multi-disciplinary project aimed at a systematic investigation of the intra-species and inter-species and interactions via biotic signalling, with the ultimate goal being the development of novel methods to manage the pest insects and diseases. We hereby propose a topic 'Biotic signalling sheds light on smart pest control' as a theme issue for the Philosophical Transactions of the Royal Society B. It contains a total of 18 reviews and research articles under the topic of signalling manipulation for pest management. Unravelling these complex interactions among plants, microbial pathogens and insects holds promise for developing novel strategies to protect crop plants without compromising agricultural productivity and environmental health. This article is part of the theme issue 'Biotic signalling sheds light on smart pest management'.

Indexed as

Pest Control, BiologicalHost-Parasite InteractionsPerceptionPhylogenySymbiosisbiotic signallinginter-species interactionintra-species interactionpest managementsignalling manipulation

Identifiers

PMID30967024
PMCPMC6367148
OpenAlexW2909669562

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.