Sign in
GenomicsbioRxiv
Preprint

Identification of Barley Enhancers across Genome via STARR-seq

Wanlin ZhouiD, Haoran ShiiD, Zhiqiang WangiD, Yuxin HuangiD, Lin NiiD, Xudong CheniD, Yan LiuiD, Haojie Li, Caixia Li, Yaxi LiuiD

Abstract

Enhancers are DNA sequences that can strengthen transcription initiation. However, the global identification of plant enhancers is complicated due to uncertainty in the distance and orientation of enhancers, especially in species with large genomes. In this study, we performed self-transcribing active regulatory region sequencing (STARR-seq) for the first time to identify enhancers across the barley genome. A total of 7323 enhancers were successfully identified, and among 45 randomly selected enhancers, over 75% were effective as validated by a dual-luciferase reporter assay system in the lower epidermis of tobacco leaves. Interestingly, up to 53.5% of the barley enhancers were repetitive sequences, especially transposable elements (TEs), thus reinforcing the vital role of repetitive enhancers in gene expression. Both the common active transcription marker H3K4me3 and repressive histone marker H3K27me3 were abundant among the barley STARR-seq enhancers. In addition, the functional range of barley STARR-seq enhancers seemed much broader than that of rice or maize and extended to {+/-} 100 KB of the gene body, and this finding was consistent with the high expression levels of genes in the genome. This work specifically depicts the unique features of barley enhancers and provides available barley enhancers for further utilization.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSun '19Jores '20Niu '20Bao '25Lee '20Chang '24
76% semantic matchGenomics
Jialei Sun, Na He, Longjian Niu+5 more·Genomics Proteomics & Bioinformatics·Apr 1, 2019· 70 citations