Evidence map›Paper›PMID 42283940›Full record

ArticlePlant molecular biology2026

Genetic basis of alkaloid divergence in the Solanaceae.

Pablo A Pérez-Mesa, Ronald A Pardo, Saleh Alseekh, Sofía Rojas-Contreras, Gina P Sierra, D Estevan García, Andrés Orejuela, Liliana Lopez-Kleine, Alisdair R Fernie, Federico Roda

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Article in Plant molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Pablo A Pérez-MesaMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia.
Ronald A PardoMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia.
Saleh AlseekhMax-Planck-Institute of Molecular Plant Physiology, Am Muhlenberg 1, 14476, Potsdam-Golm, Germany.
Sofía Rojas-ContrerasMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia.
Gina P SierraMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia.
D Estevan GarcíaMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia.
Andrés OrejuelaMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia.
Liliana Lopez-KleineDepartamento de Estadística, Universidad Nacional de Colombia, 111321, Bogotá, Colombia.
Alisdair R FernieMax-Planck-Institute of Molecular Plant Physiology, Am Muhlenberg 1, 14476, Potsdam-Golm, Germany. Fernie@mpimp-golm.mpg.de.ORCID http://orcid.org/0000-0001-9000-335X
Federico RodaMax Planck Tandem Group GEME, Facultad de Ciencias, Universidad Nacional de Colombia, 11321, Bogotá, Colombia. frodaf@unal.edu.co.ORCID http://orcid.org/0000-0002-7923-9713

Funding

Universidad Nacional de Colombia 566
6 · The paper itself

Abstract

Plant lineages produce distinct alkaloids, indicating the presence of evolutionary mechanisms that prevent the simultaneous metabolism of multiple alkaloid types within the same species. In the Solanaceae family, species produce either tropane alkaloids (TAs) or steroidal glycoalkaloids (SGAs). To investigate the genetic causes underlying this mutually exclusive distribution, we integrated genomic, transcriptomic, and metabolomic data across tens of species representing most Solanaceae clades, focusing on three potential mechanisms: (1) loss of biosynthetic genes, (2) genomic clustering, and (3) regulatory changes. Ancestral trait reconstruction suggests that both pathways were likely present in early Solanaceae lineages but were differentially lost across clades, resulting in transitions between SGA and TA biosynthesis. Notably, SGA and TA genes exhibit contrasting patterns of genomic distribution: SGA genes are organized in large, dynamic biosynthetic clusters, while TA genes are dispersed across the genome. More importantly, SGA genes are ancient and phylogenetically widespread, but are not expressed in clades that produce TAs, implying that a regulatory switch was responsible for the simultaneous silencing of SGA genes in these clades. Finally, we observed the loss and genetic erosion of late-acting SGA and TA genes in clades where they are not expressed. Overall, our study suggests that genomic clustering, regulatory changes, and gene duplication/loss underlie the mutually exclusive distribution of alkaloids in the Solanaceae.

Indexed as

AlkaloidsSolanaceaeSolanaceous AlkaloidsEvolution, MolecularGene DuplicationGene Expression Regulation, PlantGenes, PlantGenome, PlantMultigene FamilyPhylogenyTropanesAlkaloidsSolanaceous AlkaloidsTropanesBiosynthetic genesGenomic clusteringPhytochemical diversitySolanaceaeSteroidal glycoalkaloids (SGAs)Tropane alkaloids (TAs)

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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.