2018
DOI: 10.1093/pcp/pcy203
|View full text |Cite
|
Sign up to set email alerts
|

Knockdown ofSTAYGREENin Perennial Ryegrass (Lolium perenneL.) Leads to Transcriptomic Alterations Related to Suppressed Leaf Senescence and Improved Forage Quality

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
35
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
6
2
1

Relationship

1
8

Authors

Journals

citations
Cited by 34 publications
(40 citation statements)
references
References 40 publications
4
35
0
Order By: Relevance
“…For phenotype assessment, we targeted the alfalfa MsSGR gene as a candidate to test the effectiveness, because mutants of the stay-green gene can be easily identified by dark-induced senescence. As reported in previous studies, stay-green gene knockdown or knockout mutants displayed greenness in leaves, stems, pods and seeds of the plants in Arabidopsis thaliana , Medicago truncatula, Medicago sativa (alfalfa) and Lolium perenne after induced senescence by dark treatment ( Park et al, 2007 ; Ren et al, 2007 ; Zhou et al, 2011 ; Xu et al, 2018 ). After targeting four sites across the first, second, and third exons of the MsSGR gene, homozygous mutants were identified through rigorous genotypic and phenotypic analyses in the T0 generation.…”
Section: Discussionsupporting
confidence: 68%
See 1 more Smart Citation
“…For phenotype assessment, we targeted the alfalfa MsSGR gene as a candidate to test the effectiveness, because mutants of the stay-green gene can be easily identified by dark-induced senescence. As reported in previous studies, stay-green gene knockdown or knockout mutants displayed greenness in leaves, stems, pods and seeds of the plants in Arabidopsis thaliana , Medicago truncatula, Medicago sativa (alfalfa) and Lolium perenne after induced senescence by dark treatment ( Park et al, 2007 ; Ren et al, 2007 ; Zhou et al, 2011 ; Xu et al, 2018 ). After targeting four sites across the first, second, and third exons of the MsSGR gene, homozygous mutants were identified through rigorous genotypic and phenotypic analyses in the T0 generation.…”
Section: Discussionsupporting
confidence: 68%
“…To decide whether the MsSGR mutants identified by genotyping screening could show a true stay-green phenotype, leaves collected from the mutants were exposed to dark-induced senescence treatment assay ( Zhou et al, 2011 ). Typically the phenotype of a sgr mutant can easily be identified by its chlorophyll retention capacity using detached-leaf dark treatment or whole-plant shade treatment ( Ren et al, 2007 ; Zhou et al, 2011 ; Xu et al, 2018 ). Replications of four to five leaves of MsSGR mutants and controls were harvested from the middle part of each plant and incubated at room temperature in darkness.…”
Section: Methodsmentioning
confidence: 99%
“…RNA-Seq enables us to analyse transcriptomes, the comprehensive expression profile of the genome, and has been used for a variety of analyses, such as the effects of mutations 1,2 , stress responses [3][4][5] , chemical biosynthesis pathways 6 and plant-pathogen interactions 7,8 . However, large scale experiments have been limited due to the large costs required for library preparation and sequencing.…”
Section: Rna-seq Is a Whole-transcriptome Analysis Methods Used To Resmentioning
confidence: 99%
“…We also found that plant trichomes play a key role in altering the abundance of leaf chewing herbivores, but there were unclear correlations between insect abundance and laboratory-measured GSL profiles (Sato et al 2018). To link insect abundance and plant physiological status in the field, we employed transcriptomics, which were widely used to reveal comprehensive pictures of gene expression (Sun et al 2017; Xu et al 2018; Wang et al 2018; Lin et al 2018; Want et al 2018). Here we adopted our previously established protocol of cost-effective RNA-Seq (Nagano et al 2015; Kamitani et al 2016; Ishikawa et al 2017) to the field-grown A. thaliana.…”
Section: Introductionmentioning
confidence: 99%