Evidence map›Paper›PMID 41622828›Full record

ReviewThe New phytologist2026

Engineering next-generation crops through CRISPR-mediated horizontal gene transfer.

Madhab Kumar Sen, Amit Roy, Rajeev K Varshney, Amrita Chakraborty

Abstract readReview
In one paragraph

Review in The New phytologist, 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

4 authors.

Madhab Kumar SenDepartment of Agroecology and Crop Production, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, 16500, Praha-Suchdol, Czech Republic.ORCID https://orcid.org/0000-0002-2191-4958
Amit RoyFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500, Praha-Suchdol, Czech Republic.ORCID https://orcid.org/0000-0003-3237-3525
Rajeev K VarshneyState Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.ORCID https://orcid.org/0000-0002-4562-9131
Amrita ChakrabortyFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500, Praha-Suchdol, Czech Republic.ORCID https://orcid.org/0000-0002-7752-5871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crops increasingly face overlapping stresses such as heat, drought, salinity, and pathogens that conventional breeding or genome editing rarely overcome in combination. To address this, we propose CRISPR-enabled horizontal gene transfer (CRISPR-HGT) as a programmable framework that recreates the evolutionary process by which plants historically acquired adaptive microbial genes. Microbial genes, refined under extreme environments, provide a naturally preadapted resource for multi-trait resilience. By integrating tools such as Cas12a, CasΦ, RNA-targeting, and dCas-based epigenome editors with AI-guided microbial gene discovery, CRISPR-HGT enables modular and inducible stress regulation. This approach shifts genome editing from allelic modification to evolution-guided design. We outline a conceptual pipeline spanning microbial gene mining to adaptive field deployment, highlighting the ecological, biosafety, and regulatory dimensions, from the European Union's cautious oversight to the UK's product-based framework. CRISPR-HGT thus introduces an evolution-informed paradigm for engineering crops that anticipate stress and sustain yield under climate uncertainty.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsCrops, AgriculturalGenetic EngineeringGene Transfer, HorizontalGene Editingcrop engineeringdeep learninghorizontal gene transfermicrobial genesmulti‐trait resilienceprecision agriculturesynthetic biology

Identifiers

PMID41622828
PMCPMC12917461

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.