Jiajia Shi, Jiaxin Liu, Heng Li, Yao Tang, Shuqun Liu, Zhirong Sun, Zefen Yu, Xinglai Ji
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引用次数: 0
摘要
陷阱的形成是线虫捕获真菌(NTF)向肉食性生活方式转变的关键指标。在此,研究人员探讨了一种典型的捕线虫真菌 Arthrobotrys oligospora 在诱导捕获线虫过程中的 DNA 甲基化特征。全基因组亚硫酸氢盐测序确定了 871 个甲基化位点和 1979 个差异甲基化区域(DMR)。这项首创性研究揭示了甲基化系统在 NTF 中的广泛存在,并提出了通过 DNA 甲基化调控核糖体 RNA 的可能性。功能分析表明,DNA甲基化参与了陷阱诱导过程中复杂的基因调控,影响了多种生物过程,如对刺激的反应、转运体活性、细胞繁殖和分子功能调节。这些发现让人们看到了 DNA 甲基化在陷阱诱导过程中的重要作用,并为理解驱动 NTF 向肉食性生活方式转变的分子机制提供了新的见解。
DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora
Trap formation is the key indicator of carnivorous lifestyle transition of nematode-trapping fungi (NTF). Here, the DNA methylation profile was explored during trap induction of Arthrobotrys oligospora, a typical NTF that captures nematodes by developing adhesive networks. Whole-genome bisulfite sequencing identified 871 methylation sites and 1979 differentially methylated regions (DMRs). This first-of-its-kind investigation unveiled the widespread presence of methylation systems in NTF, and suggested potential regulation of ribosomal RNAs through DNA methylation. Functional analysis indicated DNA methylation's involvement in complex gene regulations during trap induction, impacting multiple biological processes like response to stimulus, transporter activity, cell reproduction and molecular function regulator. These findings provide a glimpse into the important roles of DNA methylation in trap induction and offer new insights for understanding the molecular mechanisms driving carnivorous lifestyle transition of NTF.
期刊介绍:
IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells.
The scope includes the following topics:
Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.