2020
DOI: 10.21203/rs.3.rs-58157/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Comparative cellular, physiological and transcriptome analyses reveal the potential easy dehulling mechanism of rice tartary buckwheat (Fagopyrum Tararicum)

Abstract: Background Tartary buckwheat has gained popularity in the food marketplace due to its abundant nutrients and high bioactive flavonoid content. However, its difficult dehulling process has severely restricted its food processing industry development. Rice tartary buckwheat, a rare local variety, is very easily dehulled, but the cellular, physiological and molecular mechanisms responsible for this easy dehulling remains largely unclear. Results In this study, we integrated analyses of the comparative cellular,… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 16 publications
(23 reference statements)
0
1
0
Order By: Relevance
“…Weighted gene co-expression network analysis (WGCNA), an approach that can be used to identify certain traits-related modules (Langfelder and Horvath, 2008;Menon, 2018), has been widely used in identification of hub resistance associated genes and clarification of molecular mechanisms of stresses in various plants (Hopper et al, 2016;Tan et al, 2017;Lin et al, 2019;Li et al, 2020;Liu et al, 2021;Yan et al, 2021). In this study, we aimed to systematically and comprehensively illustrate the resistance mechanism of two peanut genotypes that differ in their resistance to A. flavus, as well as identify hub genes positively associated with A. flavus resistance using WGCNA methods within RNA-seq analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Weighted gene co-expression network analysis (WGCNA), an approach that can be used to identify certain traits-related modules (Langfelder and Horvath, 2008;Menon, 2018), has been widely used in identification of hub resistance associated genes and clarification of molecular mechanisms of stresses in various plants (Hopper et al, 2016;Tan et al, 2017;Lin et al, 2019;Li et al, 2020;Liu et al, 2021;Yan et al, 2021). In this study, we aimed to systematically and comprehensively illustrate the resistance mechanism of two peanut genotypes that differ in their resistance to A. flavus, as well as identify hub genes positively associated with A. flavus resistance using WGCNA methods within RNA-seq analysis.…”
Section: Introductionmentioning
confidence: 99%