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Gene clustering and copy number variation in alkaloid metabolic pathways of opium poppy.

Identifieur interne : 000240 ( Main/Corpus ); précédent : 000239; suivant : 000241

Gene clustering and copy number variation in alkaloid metabolic pathways of opium poppy.

Auteurs : Qiushi Li ; Sukanya Ramasamy ; Pooja Singh ; Jillian M. Hagel ; Sonja M. Dunemann ; Xue Chen ; Rongji Chen ; Lisa Yu ; Joseph E. Tucker ; Peter J. Facchini ; Sam Yeaman

Source :

RBID : pubmed:32132540

English descriptors

Abstract

Genes in plant secondary metabolic pathways enable biosynthesis of a range of medically and industrially important compounds, and are often clustered on chromosomes. Here, we study genomic clustering in the benzylisoquinoline alkaloid (BIA) pathway in opium poppy (Papaver somniferum), exploring relationships between gene expression, copy number variation, and metabolite production. We use Hi-C to improve the existing draft genome assembly, yielding chromosome-scale scaffolds that include 35 previously unanchored BIA genes. We find that co-expression of BIA genes increases within clusters and identify candidates with unknown function based on clustering and covariation in expression and alkaloid production. Copy number variation in critical BIA genes correlates with stark differences in alkaloid production, linking noscapine production with an 11-gene deletion, and increased thebaine/decreased morphine production with deletion of a T6ODM cluster. Our results show that the opium poppy genome is still dynamically evolving in ways that contribute to medically and industrially important phenotypes.

DOI: 10.1038/s41467-020-15040-2
PubMed: 32132540
PubMed Central: PMC7055283

Links to Exploration step

pubmed:32132540

Le document en format XML

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<term>Benzylisoquinolines (metabolism)</term>
<term>DNA Copy Number Variations (MeSH)</term>
<term>Evolution, Molecular (MeSH)</term>
<term>Gene Expression Regulation, Plant (MeSH)</term>
<term>Genome, Plant (genetics)</term>
<term>Genomics (MeSH)</term>
<term>Metabolic Networks and Pathways (genetics)</term>
<term>Multigene Family (MeSH)</term>
<term>Papaver (genetics)</term>
<term>Papaver (metabolism)</term>
<term>Secondary Metabolism (genetics)</term>
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<div type="abstract" xml:lang="en">Genes in plant secondary metabolic pathways enable biosynthesis of a range of medically and industrially important compounds, and are often clustered on chromosomes. Here, we study genomic clustering in the benzylisoquinoline alkaloid (BIA) pathway in opium poppy (Papaver somniferum), exploring relationships between gene expression, copy number variation, and metabolite production. We use Hi-C to improve the existing draft genome assembly, yielding chromosome-scale scaffolds that include 35 previously unanchored BIA genes. We find that co-expression of BIA genes increases within clusters and identify candidates with unknown function based on clustering and covariation in expression and alkaloid production. Copy number variation in critical BIA genes correlates with stark differences in alkaloid production, linking noscapine production with an 11-gene deletion, and increased thebaine/decreased morphine production with deletion of a T6ODM cluster. Our results show that the opium poppy genome is still dynamically evolving in ways that contribute to medically and industrially important phenotypes.</div>
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Data generation: Tue Nov 17 16:35:40 2020. Site generation: Tue Nov 17 16:39:32 2020