Spatiotemporal methylome remodeling during fiber differentiation in Gossypium hirsutum

Whole-genome methylome analysis reveals DNA methylation dynamics during upland cotton (Gossypium hirsutum) fiber development. DNA methylation levels initially increased and then decreased from -3 days post-anthesis (DPA) to 5 DPA, with a significant rise during the rapid elongation stage (5 DPA to 14 DPA), particularly in CHH methylation levels. Integrated transcriptome analysis links elevated DNA methylation to reduced demethylase gene expression (DME, ROS1, DML3). DNA methylation remodeling modulates fiber development through coordinated regulation of lipid metabolism, DNA replication, phosphatidylinositol signaling system and hormonal signaling pathways. Several key transcription factors, such as TCP14, HD1, HOX3, and MYB25-like, showed a strong correlation with DMRs, suggesting their regulation by DNA methylation. Furthermore, Multi-omics integration posits that DNA methylation may regulate genes related to fiber development, particularly those related to fatty acid biosynthesis and metabolism, ultimately influencing upland cotton fiber development. Analysis of genes highly correlated with changes in differentially methylated regions (DMRs) indicates DNA methylation can modulate the expression of KCS family genes, including KCS13, as well as KCRL1, thereby participating in the fatty acid elongation pathway.

Authors

Institutions

Publication Details

Journal
BMC Genomics
Published
2025-10-09
DOI
https://doi.org/10.1186/s12864-025-12116-5
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal methylome remodeling during fiber differentiation in Gossypium hirsutum

Xia Huang, Zhipeng Yu, Ying Jin, Junkang Rong et al.
BMC Genomics
Research in Cotton Cultivation
article

Spatiotemporal methylome remodeling during fiber differentiation in Gossypium hirsutum

Xia Huang, Zhipeng Yu, Ying Jin, Junkang Rong, Xing Xiong, Mingquan Ding, Haijuan Cao, Shuhan Wen
article en

Abstract

Whole-genome methylome analysis reveals DNA methylation dynamics during upland cotton (Gossypium hirsutum) fiber development. DNA methylation levels initially increased and then decreased from -3 days post-anthesis (DPA) to 5 DPA, with a significant rise during the rapid elongation stage (5 DPA to 14 DPA), particularly in CHH methylation levels. Integrated transcriptome analysis links elevated DNA methylation to reduced demethylase gene expression (DME, ROS1, DML3). DNA methylation remodeling modulates fiber development through coordinated regulation of lipid metabolism, DNA replication, phosphatidylinositol signaling system and hormonal signaling pathways. Several key transcription factors, such as TCP14, HD1, HOX3, and MYB25-like, showed a strong correlation with DMRs, suggesting their regulation by DNA methylation. Furthermore, Multi-omics integration posits that DNA methylation may regulate genes related to fiber development, particularly those related to fatty acid biosynthesis and metabolism, ultimately influencing upland cotton fiber development. Analysis of genes highly correlated with changes in differentially methylated regions (DMRs) indicates DNA methylation can modulate the expression of KCS family genes, including KCS13, as well as KCRL1, thereby participating in the fatty acid elongation pathway.

BMC GenomicsVol. 26(1)
Zhejiang A & F University (CN), ZheJiang Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Oil Crops Research Institute (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, Nanjing Agricultural University
Openalex Percentile: Top 79%
Research in Cotton Cultivation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.