Temperature-dependent jumonji demethylase modulates flowering time by targeting H3K36me2/3 in Brassica rapa.
Xiaoyun XinPeirong LiXiuyun ZhaoYangjun YuWeihong WangGuihua JinJiao WangLiling SunDeshuang ZhangFenglan ZhangShuancang YuShuancang YuPublished in: Nature communications (2024)
Global warming has a severe impact on the flowering time and yield of crops. Histone modifications have been well-documented for their roles in enabling plant plasticity in ambient temperature. However, the factor modulating histone modifications and their involvement in habitat adaptation have remained elusive. In this study, through genome-wide pattern analysis and quantitative-trait-locus (QTL) mapping, we reveal that BrJMJ18 is a candidate gene for a QTL regulating thermotolerance in thermotolerant B. rapa subsp. chinensis var. parachinensis (or Caixin, abbreviated to Par). BrJMJ18 encodes an H3K36me2/3 Jumonji demethylase that remodels H3K36 methylation across the genome. We demonstrate that the BrJMJ18 allele from Par (BrJMJ18 Par ) influences flowering time and plant growth in a temperature-dependent manner via characterizing overexpression and CRISPR/Cas9 mutant plants. We further show that overexpression of BrJMJ18 Par can modulate the expression of BrFLC3, one of the five BrFLC orthologs. Furthermore, ChIP-seq and transcriptome data reveal that BrJMJ18 Par can regulate chlorophyll biosynthesis under high temperatures. We also demonstrate that three amino acid mutations may account for function differences in BrJMJ18 between subspecies. Based on these findings, we propose a working model in which an H3K36me2/3 demethylase, while not affecting agronomic traits under normal conditions, can enhance resilience under heat stress in Brassica rapa.
Keyphrases
- genome wide
- dna methylation
- heat stress
- arabidopsis thaliana
- genome wide analysis
- copy number
- crispr cas
- plant growth
- climate change
- gene expression
- high resolution
- amino acid
- high density
- heat shock
- cell proliferation
- poor prognosis
- air pollution
- transcription factor
- genome wide identification
- signaling pathway
- high throughput
- particulate matter
- electronic health record
- single cell
- machine learning
- long non coding rna
- binding protein
- depressive symptoms
- rna seq
- data analysis
- cell wall
- genome wide association study
- quantum dots