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Transposable element-initiated enhancer-like elements generate the subgenome-biased spike specificity of polyploid wheat.


ABSTRACT: Transposable elements (TEs) comprise ~85% of the common wheat genome, which are highly diverse among subgenomes, possibly contribute to polyploid plasticity, but the causality is only assumed. Here, by integrating data from gene expression cap analysis and epigenome profiling via hidden Markov model in common wheat, we detect a large proportion of enhancer-like elements (ELEs) derived from TEs producing nascent noncoding transcripts, namely ELE-RNAs, which are well indicative of the regulatory activity of ELEs. Quantifying ELE-RNA transcriptome across typical developmental stages reveals that TE-initiated ELE-RNAs are mainly from RLG_famc7.3 specifically expanded in subgenome A. Acquisition of spike-specific transcription factor binding likely confers spike-specific expression of RLG_famc7.3-initiated ELE-RNAs. Knockdown of RLG_famc7.3-initiated ELE-RNAs resulted in global downregulation of spike-specific genes and abnormal spike development. These findings link TE expansion to regulatory specificity and polyploid developmental plasticity, highlighting the functional impact of TE-driven regulatory innovation on polyploid evolution.

SUBMITTER: Xie Y 

PROVIDER: S-EPMC10656477 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature

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Transposable element-initiated enhancer-like elements generate the subgenome-biased spike specificity of polyploid wheat.

Xie Yilin Y   Ying Songbei S   Li Zijuan Z   Zhang Yu'e Y   Zhu Jiafu J   Zhang Jinyu J   Wang Meiyue M   Diao Huishan H   Wang Haoyu H   Zhang Yuyun Y   Ye Luhuan L   Zhuang Yili Y   Zhao Fei F   Teng Wan W   Zhang Wenli W   Tong Yiping Y   Cho Jungnam J   Dong Zhicheng Z   Xue Yongbiao Y   Zhang Yijing Y  

Nature communications 20231117 1


Transposable elements (TEs) comprise ~85% of the common wheat genome, which are highly diverse among subgenomes, possibly contribute to polyploid plasticity, but the causality is only assumed. Here, by integrating data from gene expression cap analysis and epigenome profiling via hidden Markov model in common wheat, we detect a large proportion of enhancer-like elements (ELEs) derived from TEs producing nascent noncoding transcripts, namely ELE-RNAs, which are well indicative of the regulatory a  ...[more]

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