Evidence map›Paper›PMID 32468454›Full record

ReviewAdvances in experimental medicine and biology2020

Microbiome Hijacking Towards an Integrative Pest Management Pipeline.

Vasiliki Lila Koumandou, Louis Papageorgiou, Spyridon Champeris Tsaniras, Aegli Papathanassopoulou, Marianna Hagidimitriou, Nikos Cosmidis, Dimitrios Vlachakis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. The Role of ChitooligosaccharidolyticInternational journal of molecular sciences · 2022
    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 2 institutions in 1 country.

Vasiliki Lila KoumandouLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece.
Louis PapageorgiouLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece.
Spyridon Champeris TsanirasLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece.
Aegli PapathanassopoulouLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece.
Marianna HagidimitriouLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece.
Nikos CosmidisLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece.
Dimitrios VlachakisLaboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece. dimvl@aua.gr.
Agricultural University of Athens · GRBiomedical Research Foundation of the Academy of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pesticides are necessary to fight agricultural pests, yet they are often nonspecific, and their widespread use is a hazard to the environment and human health. The genomic era allows for new approaches to specifically target agricultural pests, based on analysis of their genome and their microbiome. We present such an approach, to combat Bactrocera oleae, a widespread pest whose impact is devastating on olive production. To date, there is no specific pesticide to control it. Herein, we propose a novel strategy to manage this pest via identifying novel pharmacological targets on the genome of its obligate endosymbiotic bacterium Candidatus Erwinia dacicola. Three genes were selected as pharmacological targets. The 3D models of the Helicase, Polymerase, and Protease-C gene products were designed and subsequently optimized by means of molecular dynamics simulations. Successively, a series of structure-based pharmacophore models were elucidated in an effort to pave the way for the efficient high-throughput virtual screening of libraries of low molecular weight compounds and thus the discovery of novel modulating agents. Our methodology provides the means to design, test, and identify highly specific pest control substances that minimize the impact of toxic chemicals on health, economy, and the environment.

Indexed as

AnimalsErwiniaMicrobiotaPest ControlSymbiosisTephritidaeBactrocera oleaeErwinia dacicolaMicrobiomeOlivePest management

Identifiers

PMID32468454
OpenAlexW3032463752

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.