Gene clustering and copy number variation in alkaloid metabolic pathways of opium poppy.
Identifieur interne : 000240 ( Main/Corpus ); précédent : 000239; suivant : 000241Gene 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 YeamanSource :
- Nature communications [ 2041-1723 ] ; 2020.
English descriptors
- KwdEn :
- Benzylisoquinolines (metabolism), DNA Copy Number Variations (MeSH), Evolution, Molecular (MeSH), Gene Expression Regulation, Plant (MeSH), Genome, Plant (genetics), Genomics (MeSH), Metabolic Networks and Pathways (genetics), Multigene Family (MeSH), Papaver (genetics), Papaver (metabolism), Secondary Metabolism (genetics).
- MESH :
- chemical , metabolism : Benzylisoquinolines.
- genetics : Genome, Plant, Metabolic Networks and Pathways, Papaver, Secondary Metabolism.
- metabolism : Papaver.
- DNA Copy Number Variations, Evolution, Molecular, Gene Expression Regulation, Plant, Genomics, Multigene Family.
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:32132540Le document en format XML
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<term>Gene Expression Regulation, Plant (MeSH)</term>
<term>Genome, Plant (genetics)</term>
<term>Genomics (MeSH)</term>
<term>Metabolic Networks and Pathways (genetics)</term>
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<front><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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<Abstract><AbstractText>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.</AbstractText>
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