RWRtoolkit Narrative Article Swipe
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David Kainer
,
Matthew Lane
,
Kyle A. Sullivan
,
Jason Miller
,
Mikaela Cashman
,
M. Morgan
,
Ashley Cliff
,
Jonathon Romero
,
Angelica M. Walker
,
D. Dakota Blair
,
Hari Chhetri
,
Yongqin Wang
,
Mirko Pavicic
,
Anna Furches
,
Jaclyn M Noshay
,
Meghan M. Drake
,
Natalie M. Landry
,
Amelia Ireland
,
Ali Missaoui
,
Yun Kang
,
John C. Sedbrook
,
Paramvir Dehal
,
Shane Canon
,
Daniel Jacobson
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.25982/165213.26/2519695
· OA: W4414976489
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.25982/165213.26/2519695
· OA: W4414976489
This narrative presents a demonstration of RWRtools methods to the important bioenergy feedstock Panicum virgatum (Switchgrass) by leveraging networks from the model plant Arabidopsis thaliana. We used a genome-wide association study (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with Switchgrass shoot biomass. We then assigned these SNPs to Switchgrass genes, and using Phytozome (Goodstein et al., 2012), assigned these 38 Switchgrass GWAS genes to 32 Arabidopsis orthologs. These 32 genes are the starting set of genes (i.e. the seed gene set) for this demo narrative.
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