Evidence map›Paper›PMID 40717389›Full record

ReviewThe New phytologist2025

RNA elements and their biotechnological applications in plants.

Filip Lastovka, Hadrien Peyret, George P Lomonossoff, Betty Y-W Chung

Abstract readReview
In one paragraph

Review in The New phytologist, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

4 authors.

Filip LastovkaDepartment of Pathology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QP, UK.ORCID https://orcid.org/0000-0002-5459-7418
Hadrien PeyretDepartment of Biochemistry and Metabolism, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.ORCID https://orcid.org/0000-0002-7808-5089
George P LomonossoffDepartment of Biochemistry and Metabolism, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.ORCID https://orcid.org/0000-0003-0700-906X
Betty Y-W ChungDepartment of Pathology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QP, UK.ORCID https://orcid.org/0000-0003-4384-285X

Funding

Biotechnology and Biological Sciences Research Council BB/V006096/1Biotechnology and Biological Sciences Research Council BB/X01097X/1Medical Research Council MR/R021821/1
6 · The paper itself

Abstract

Engineering of plants for improved traits and efficient heterologous protein production can be achieved by modifying or introducing cis- or trans-acting RNA elements. The function of these elements depends not only on their nucleotide sequence but also on their highly dynamic higher order structures. In this review, we explore RNA regulatory elements with established or potential application in plant biotechnology. We discuss RNA elements involved in translational control, transcript stability, and protein coproduction, as well as RNA domains that mediate conditional expression, RNA decay, or cap-independent initiation. While some of these elements can be used in transiently or stably transformed plants, others have proven valuable in plant-based in vitro expression systems. Additionally, we highlight RNA elements important for plastid gene expression. Finally, we examine RNA elements that are yet to be applied in plant biotechnology but have been successfully used in other organisms or require further understanding before they can be effectively utilized.

Indexed as

BiotechnologyPlantsRNA, PlantGene Expression Regulation, PlantPlants, Genetically ModifiedRNA, Plantbiotechnologygene expressionplantRNA elementRNA turnovertranscriptiontranslation

Identifiers

PMID40717389
PMCPMC12371167

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.