Evidence map›Paper›PMID 42437521›Full record

ReviewBiotechnology and bioengineering2026

Enhancing the Secretion Systems: Genetic Engineering of Super Bioagents for Effective Plant Disease Control.

Michael Dare Asemoloye

Abstract readReview
In one paragraph

Review in Biotechnology and bioengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael Dare AsemoloyeDepartment of Biological & Environmental Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa.ORCID https://orcid.org/0000-0003-4339-1251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalating threat of plant diseases to global agriculture and food security necessitates innovative and sustainable control strategies. Conventional biological control agents (BCAs), while environmentally friendly, often suffer environmental challenges and secretion of limited/poor antimicrobial compounds. Advances in CRISPR/Cas genome editing, protease engineering, and synthetic biology have enabled precise modifications that improve pathogen targeting and secretion efficiency. Interest should now be shifted on development of "Super Bioagents (SBs)" with enhanced secretion systems (SSs) for plant disease suppression against changing environmental factors. This will create sustainable ecofriendly alternative to chemical pesticides. This review explores a detailed overview of molecular mechanisms of microbial SSs and the potentials of SBs as a frontier in plant disease management. While there are still challenges in mass deployment of BCAs in sustainable agriculture, this review is guided by the hypothesis that rational, quantitative engineering of microbial SSs can transform conventional BCAs into integrated SBs. It synthesizes current advances within a systems‑level bioengineering framework linking secretion efficiency, regulation, and field performance. It further explores possible integration of SBs in plant-microbiome interactions to further enhance their adaptability and effectiveness. Finally, the review dives into recent breakthroughs, current challenges, and future directions for SBs development and application as next-generation plant disease control agents.

Indexed as

Biological Control AgentsGenetic EngineeringPlant DiseasesBiological Control AgentsCRISPR/Cas (or genome editing)food securityinduced systemic resistance (ISR)integrated pest management (IPM)next‐generation biocontrolplant–microbiome interactions

Identifiers

PMID42437521
PMCPMC13665611

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.