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Article details
Title
Sequence and annotation of 42 cannabis genomes reveals extensive copy number variation in cannabinoid synthesis and pathogen resistance genes
Published in
bioRxiv, January 2020
DOI 10.1101/2020.01.03.894428
Authors
Abstract

Cannabis is a diverse and polymorphic species. To better understand cannabinoid synthesis inheritance and its impact on pathogen resistance, we shotgun sequenced and assembled a Cannabis trio (sibling pair and their offspring) utilizing long read single molecule sequencing. This resulted in the most contiguous Cannabis sativa assemblies to date. These reference assemblies were further annotated with full-length male and female mRNA sequencing (Iso-Seq) to help inform isoform complexity, gene model predictions and identification of the Y chromosome. To further annotate the genetic diversity in the species, 40 male, female, and monoecious cannabis and hemp varietals were evaluated for copy number variation (CNV) and RNA expression. This identified multiple CNVs governing cannabinoid expression and 82 genes associated with resistance to Golovinomyces chicoracearum, the causal agent of powdery mildew in cannabis. Results indicated that breeding for plants with low tetrahydrocannabinolic acid (THCA) concentrations may result in deletion of pathogen resistance genes. Low THCA cultivars also have a polymorphism every 51 bases while dispensary grade high THCA cannabis exhibited a variant every 73 bases. A refined genetic map of the variation in cannabis can guide more stable and directed breeding efforts for desired chemotypes and pathogen-resistant cultivars. O_FIG O_LINKSMALLFIG WIDTH=160 HEIGHT=200 SRC="FIGDIR/small/894428v1_ufig1.gif" ALT="Figure 1"> View larger version (126K): [email protected]@731a4dorg.highwire.dtl.DTLVardef@c3e5acorg.highwire.dtl.DTLVardef@11babb4_HPS_FORMAT_FIGEXP M_FIG Sequence and annotation of 42 cannabis genomes reveals extensive copy number variation in cannabinoid synthesis and pathogen resistance genes C_FIG

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The data shown below were collected from the profiles of 205 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 187 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 37 20%
Student > Master 25 13%
Student > Bachelor 21 11%
Student > Ph. D. Student 14 7%
Student > Doctoral Student 12 6%
Other 17 9%
Unknown 61 33%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 73 39%
Biochemistry, Genetics and Molecular Biology 38 20%
Chemistry 3 2%
Environmental Science 2 1%
Computer Science 2 1%
Other 5 3%
Unknown 64 34%