Genomic characterization of the complete terpene synthase gene family from Cannabis sativa


Autoři: Keith D. Allen aff001;  Kevin McKernan aff002;  Christopher Pauli aff001;  Jim Roe aff001;  Anthony Torres aff001;  Reggie Gaudino aff001
Působiště autorů: Steep Hill Labs, Berkeley, California, United States of America aff001;  Medicinal Genomics, Woburn, Massachusetts, United States of America aff002
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222363

Souhrn

Terpenes are responsible for most or all of the odor and flavor properties of Cannabis sativa, and may also impact effects users experience either directly or indirectly. We report the diversity of terpene profiles across samples bound for the Washington dispensary market. The remarkable degree of variation in terpene profiles ultimately results from action of a family of terpene synthase genes, only some of which have been described. Using a recently available genome assembly we describe 55 terpene synthases with genomic context, and tissue specific expression. The family is quite diverse from a protein similarity perspective, and subsets of the family are expressed in all tissues in the plant, including a set of root specific monoterpene synthases that could well have agronomic importance. Ultimately understanding and breeding for specific terpene profiles will require a good understanding of the gene family that underlies it. We intend for this work to serve as a foundation for that.

Klíčová slova:

Physical sciences – Chemistry – Chemical compounds – Organic compounds – Terpenes – Organic chemistry – Biology and life sciences – Computational biology – Introns – Genetics – Genomics – Genome complexity – Genome analysis – Transcriptome analysis – Sequence assembly tools – Genomic medicine – Gene expression – Molecular biology – Molecular biology techniques – DNA construction – DNA library construction – Genomic library construction – Research and analysis methods – Database and informatics methods – Bioinformatics – Sequence analysis – Sequence alignment


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Článek vyšel v časopise

PLOS One


2019 Číslo 9

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