Evidence map›Paper›PMID 42373871›Full record

ReviewPlanta2026

Lunaria annua as a next-generation oilseed: a multidisciplinary review of its biochemical, genetic, and industrial potential.

Emily Nyangoma, Sunita Etta Ombu, Yunjia Ma, Daniel Bimpong, Fuyong Zhao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Planta, 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

5 authors.

Emily Nyangoma *College of Life Science, Yangtze University, Jingzhou, 434025, China.
Sunita Etta Ombu *College of Life Science, Yangtze University, Jingzhou, 434025, China.
Yunjia MaCollege of Life Science, Yangtze University, Jingzhou, 434025, China.
Daniel BimpongCollege of Life Science, Yangtze University, Jingzhou, 434025, China.
Fuyong ZhaoCollege of Life Science, Yangtze University, Jingzhou, 434025, China. fyzhao@yangtzeu.edu.cn.ORCID http://orcid.org/0000-0002-9785-6168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionThis review highlights Lunaria annua as a next‑generation industrial oilseed with a unique fatty acid profile and emerging genomic tools, positioning it for significant improvement and broad applications in biolubricants, bioplastics, and bio-based therapeutics. Lunaria annua, an ornamental of the Brassicaceae species, is emerging as a valuable oilseed crop due to its high levels of erucic and nervonic acids with applications in biolubricants, bioplastics, and neurotherapeutics. Recent advances in metabolomics, enzymology, and comparative genomics have improved understanding of fatty acid biosynthesis pathways and identified candidate genes associated with oil composition. Advances in biotechnology and breeding approaches have also provided tools for investigating traits related to oil production and environmental stress responses. However, several factors, such as agronomic performance, climatic adaptability, extraction and processing efficiency, and economic viability, require further research attention before large-scale cultivation can be considered. This review synthesizes current knowledge of L. annua biology, oil biosynthesis, and crop improvement strategies and discusses the challenges and research priorities that could influence its development as a future industrial oilseed crop.

Indexed as

BrassicaceaePlant OilsSeedsBiotechnologyFatty AcidsFatty AcidsPlant OilsLunaria annuaOilseed potentialPresscakeYield enhancement

Identifiers

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.