2021
DOI: 10.1093/plcell/koab073
|View full text |Cite
|
Sign up to set email alerts
|

Gene expression evolution in pattern-triggered immunity withinArabidopsis thalianaand across Brassicaceae species

Abstract: Plants recognize surrounding microbes by sensing microbe-associated molecular patterns (MAMPs) to activate pattern-triggered immunity (PTI). Despite their significance for microbial control, the evolution of PTI responses remains largely uncharacterized. Here, by employing comparative transcriptomics of six Arabidopsis thaliana accessions and three additional Brassicaceae species to investigate PTI responses, we identified a set of genes that commonly respond to the MAMP flg22 and genes that exhibit species-sp… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
26
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 37 publications
(28 citation statements)
references
References 102 publications
2
26
0
Order By: Relevance
“…Photoperiod stress is a relatively new form of abiotic stress and not much is known about similarities with other stresses. We therefore compared the transcriptomic profile of plants in response to photoperiod stress with those in response to other biotic ( Truman et al, 2007 ; Winkelmüller et al, 2021 ) and abiotic stresses, including a shift to blue light (BL), drought stress, heat stress, cold stress, salt stress, ozone treatment, fluctuating light and high light stress ( Lee et al, 2005 ; Tosti et al, 2006 ; Kleine et al, 2007 ; Truman et al, 2007 ; Huang et al, 2008 , 2019 ; Larkindale and Vierling, 2008 ; Ding et al, 2014 ; Schneider et al, 2019 ; Figure 5 and Supplementary Data 7 ). In addition, we compared our dataset with the transcriptomic profile of circadian clock-regulated genes ( Covington et al, 2008 ) as a previous study found a link between photoperiod stress and the circadian clock ( Nitschke et al, 2016 ).…”
Section: Resultsmentioning
confidence: 99%
“…Photoperiod stress is a relatively new form of abiotic stress and not much is known about similarities with other stresses. We therefore compared the transcriptomic profile of plants in response to photoperiod stress with those in response to other biotic ( Truman et al, 2007 ; Winkelmüller et al, 2021 ) and abiotic stresses, including a shift to blue light (BL), drought stress, heat stress, cold stress, salt stress, ozone treatment, fluctuating light and high light stress ( Lee et al, 2005 ; Tosti et al, 2006 ; Kleine et al, 2007 ; Truman et al, 2007 ; Huang et al, 2008 , 2019 ; Larkindale and Vierling, 2008 ; Ding et al, 2014 ; Schneider et al, 2019 ; Figure 5 and Supplementary Data 7 ). In addition, we compared our dataset with the transcriptomic profile of circadian clock-regulated genes ( Covington et al, 2008 ) as a previous study found a link between photoperiod stress and the circadian clock ( Nitschke et al, 2016 ).…”
Section: Resultsmentioning
confidence: 99%
“…Previous studies have applied single or dual omics to uncover the molecular mechanisms involved in plant–pathogen interactions (Bassal et al ., 2020 ; Bjornson et al ., 2021 ; Chen et al ., 2018 ; Jeon et al ., 2020 ; Lovelace et al ., 2018 ; Nobori et al ., 2018 , 2020 ; Winkelmüller et al ., 2021 ). In this study, we performed a multi‐omics analysis consisting of five omics datasets including metabolome, transcriptome, proteome, ubiquitome and acetylome to systematically elucidate PTI triggered by two different PAMPs in rice.…”
Section: Discussionmentioning
confidence: 99%
“…Like in Arabidopsis , similar PTI‐mediated defence occurs in rice against fungal and bacterial infection, such as ROS production, callose deposition, MAPK signalling cascade activation and the hormone signalling pathways activation (Liu et al ., 2013 , 2014 ; Yang et al ., 2013 ). Up to now, some single or combined omics studies, including transcriptomic, proteomics and metabolomics, have been reported to investigate the effects of plant responses to invading pathogens or challenged by different PAMPs (Bassal et al ., 2020 ; Bjornson et al ., 2021 ; Chen et al ., 2018 ; Jeon et al ., 2020 ; Lovelace et al ., 2018 ; Nobori et al ., 2018 ; Winkelmüller et al ., 2021 ). However, an integrative study of multi‐omics data is still lacking.…”
Section: Introductionmentioning
confidence: 99%
“…Fortunately, the available genome information can be used to identify the starch metabolism genes in Brassica crops ( http://brassicadb.cn/ ). The relevant genomic distribution, structure, and duplication of these core genes as well as the syntenic analysis of B. rapa (AA genome), Brassica nigra (BB genome), and Brassica oleracea (CC genome) are important to reveal the commonalities of Brassica crops susceptible to P. brassicae [ 32 ].…”
Section: Introductionmentioning
confidence: 99%