Evidence map›Paper›PMID 40506580›Full record

ReviewMolecular biotechnology2026

Shaping the Plant Specialized Metabolites Through Modern Breeding Technique.

Sayanti Mandal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Regional Cultivation Forms ofJournal of fungi (Basel, Switzerland) · 2026
    Review
  3. 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

1 author.

Sayanti MandalDepartment of Chemistry & Biochemistry, Sharda School of Engineering & Sciences, Sharda University, Greater Noida, 201306, India. mandalsayanti@gmail.com.ORCID http://orcid.org/0000-0003-4054-833X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant specialized metabolites (PSMs) have significantly diversified throughout evolutionary history and are regarded as crucial contributors to intricate interactions between plants and the changing environment. The chemical nature of these metabolites has been extensively investigated and used in agriculture, crop improvement, food industry, and pharmaceutical research, among other fields. These PSMs, often synthesized in response to abiotic stressors, function as protective agents against abiotic stresses under climate change. Therefore, this review aimed to elucidate the stress response in plants that leads to the synthesis of PSMs, including glucosinolates, carotenoids, phenolic, alkaloids, and flavonoids, which improve antioxidant efficiency by alleviating oxidative stress, a significant secondary stressor associated with major abiotic challenges such as salinity, drought, cold, and high temperatures. Since natural plants do not produce these metabolites in large quantities, many biotechnology-based strategies were investigated to increase their production. Additionally, we explore the genome editing advancements in engineering secondary metabolite pathways that have created novel possibilities for sustainable metabolite production. Moreover, plant biologist can enhance PSMs biosynthesis and identify novel metabolites by leveraging stress responses using CRISPR technology. These technological advances offer potential solutions for addressing global challenges in agriculture, medicine, and environmental sustainability.

Indexed as

Plant BreedingPlantsAlkaloidsAntioxidantsBiotechnologyCarotenoidsFlavonoidsGene EditingGlucosinolatesOxidative StressStress, PhysiologicalAlkaloidsAntioxidantsCarotenoidsFlavonoidsGlucosinolatesCRISPREnvironmental stressGWASMetabolic engineeringSpecialized metabolitesStress response

Identifiers

What Socratic 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 Socratic graph.