Evidence map›Paper›PMID 41936719›Full record

ReviewPlanta2026

Plant isopropylmalate synthases: in and beyond leucine biosynthesis.

Mohan Varghese, Asif Lone, Naveen C Bisht

Abstract readReview
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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

3 authors.

Mohan VargheseBRIC-National Institute of Plant Genome Research, New Delhi, 110067, India.ORCID http://orcid.org/0000-0003-0963-1151
Asif LoneDepartment of Biotechnology, All India Institute of Medical Sciences, New Delhi, 110029, India.ORCID http://orcid.org/0000-0002-0292-240X
Naveen C BishtBRIC-National Institute of Plant Genome Research, New Delhi, 110067, India. ncbisht@nipgr.ac.in.ORCID http://orcid.org/0000-0001-7817-2193

Funding

Department of Biotechnology BT/PR25839/GET/119/102/2017NIPGR core grant
6 · The paper itself

Abstract

Primary metabolic enzymes in amino acid biosynthesis pathways are involved in amino acid synthesis and maintenance of metabolic homeostasis through feedback regulatory mechanisms. The genes encoding these enzymes are also known to undergo functional diversification through evolutionary processes to encode specific secondary metabolic enzymes. One such enzyme is α-isopropylmalate synthase (α-IPMS), which catalyzes and regulates leucine (Leu) biosynthesis in eubacteria, archaebacteria, fungi, and plants, and has served as an evolutionary progenitor for specialized enzymes in distinct secondary metabolic pathways. However, most information on IPMS comes from the bacterial research community, particularly in the context of Leu overproduction or as a target for developing drugs against tuberculosis. In plants, only a few studies have reported on IPMS, focusing primarily on its role in regulating Leu homeostasis. Herein, we review the complex regulatory network that exists in Leu metabolism, focusing on the regulation of its biosynthesis and its key regulatory enzyme, IPMS. This review also highlights how evolution has independently recruited IPMS for specialized metabolism in several plant lineages. Finally, we describe the emerging roles of IPMS as a candidate for engineering amino acid and yield-related traits in crop plants. We also identify important open questions in this area that remain to be addressed.

Indexed as

2-Isopropylmalate SynthaseLeucinePlant ProteinsPlants2-Isopropylmalate SynthaseLeucinePlant ProteinsAmino acid regulationBranched-chain amino acidsEvolutionIsopropylmalate synthaseLeucine biosynthesisPlant metabolism

Identifiers

What OpenQuestion holds

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Registered trials

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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.