Evidence map›Paper›PMID 41758122›Full record

ReviewFEMS microbiology reviews2026

Harnessing eCISs for precision phytomicrobiome engineering and biocontrol.

Gunarathna R D S Madushani, Xue Wu, Wikum H Jayasinghe, Qi Wang, Kumar Vinit, Ge-Fei Hao

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2026. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
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

6 authors.

Gunarathna R D S MadushaniState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang 550025, P.R. China.
Xue WuState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang 550025, P.R. China.
Wikum H JayasingheDepartment of Agricultural Biology, Faculty of Agriculture, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Qi WangState Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, P.R. China.
Kumar VinitState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang 550025, P.R. China.
Ge-Fei HaoState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang 550025, P.R. China.ORCID 0009-0005-4669-1956

Funding

National Key Research and Development Program of China 2024YFE0214300National Natural Science Foundation of China 32125033
6 · The paper itself

Abstract

Plant microbiome disruption often increases vulnerability to crop diseases, endangering worldwide food production, while chemical pesticides become increasingly less viable and continue to damage ecosystems. To safeguard plant microbiome health, several biological control strategies offer alternatives, yet many operate through broader or weakly defined target mechanisms. In recent years, bacterial contractile injection systems (BCISs) have emerged as a promising class of naturally evolved nanomachines that translocate molecular payloads directly into target cells. Subsets of these systems, extracellular contractile injection systems (eCISs), are distinguished by their specific narrow host range and receptor-dependent specificity. Recent studies have demonstrated that eCISs provide a transformative approach for targeted microbial manipulation, enabling the delivery of specialized molecules into particular microbes with higher precision. However, despite their potential, the integration of these engineered injection systems with microbial modulation for phytomicrobiome remains largely underexplored. Here, we explore the capabilities of eCISs as an advanced approach for the biocontrol, leveraging their tailored mechanisms for targeted payload delivery in plant-associated microbial communities with enhanced host specificity. This study aims to address the potential of engineered injection systems in facilitating sustainable phytomicrobiome engineering strategies that enhance biocontrol, aiming to reduce environmental harm while improving agricultural productivity.

Indexed as

BacteriaBiological Control AgentsMicrobiotaPlant DiseasesPlantsPest Control, BiologicalBiological Control Agentsbiocontrolextracellular contractile injection systemspayload deliveryphytomicrobiome engineeringtailocinstargeted specificity

Identifiers

PMID41758122
PMCPMC12961389

What OpenQuestion holds

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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.