Transposable elements contribute to regulatory hubs stress-related long noncoding RNAs in Maize
Lv, Y.; Hu, F.; Zhou, Y.; Wu, F.; Zhou, L.; Gaut, B. S.
Show abstract
Several studies have mined short-read RNA sequencing datasets to identify lncRNAs, and others have focused on the function of individual lncRNA in abiotic stress response. However, our understanding of the complement, function and origin of long-non-coding RNA (lncRNAs) response to abiotic stress, especially transposon derived lncRNA (TE-lncRNA), is still in its infancy. To discover and study lncRNAs in maize (Zea mays ssp. mays), we utilized a dataset of 127 RNA sequencing samples that included PacBio fl-cDNA and total RNA-Seq datasets. Overall, we identified 23,309 candidate lncRNAs, 60% of which were identified in polyadenylated (polyA+) samples. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, representing the high proportion of these elements in the genome, but class II, DNA transposons were enriched for lncRNAs relative to their genomic representation by 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1,077 differentially expressed lncRNA transcripts. Their expression was correlated (r2=0.48) with their nearest gene, suggesting that lncRNAs are subject to some of the cis regulatory features as neighboring genes. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs act as major hubs in co-expression networks, of which 18 appeared to be derived from TEs. These results suggest that lncRNAs, especially TE-lncRNAs, may play key regulatory roles in moderating abiotic responses.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Comprehensive Analysis of Atlantic Salmon Gonad and Pituitary Transcriptomes Identifies Novel Players in Sexual Maturation 93%
- Comprehensive genome-wide identification of angiosperm upstream ORFs with peptide sequences conserved in various taxonomic ranges using a novel pipeline, ESUCA 93%
- A chromosome-level genome assembly of amodel conifer plant, the Japanese cedar,Cryptomeria japonica D. Don 92%
Similar papers in this journal
- Highly expressed maize pollen genes display coordinated expression with neighboring transposable elements and contribute to pollen fitness 94%
- Genome assembly and characterization of a complex zfBED-NLR gene-containing disease resistance locus in Carolina Gold Select rice with Nanopore sequencing 94%
- The conserved regulatory basis of mRNA contributions to the early Drosophila embryo differs between the maternal and zygotic genomes 93%
Similar papers in this journal
- The regulatory landscape of early maize inflorescence development 95%
- Revisiting the Central Dogma: the distinct roles of genome, methylation, transcription, and translation on protein expression in Arabidopsis thaliana 94%
- Benchmarking Transposable Element Annotation Methods for Creation of a Streamlined, Comprehensive Pipeline 94%
Similar papers in this journal
- Oligosaccharide production and signaling correlate with delayed flowering in an Arabidopsis genotype grown and selected in high 92%
- Deciphering the transcriptomic regulation of heat stress responses in Nothofagus pumilio 92%
- Evolutionary and biochemical analyses reveal conservation of the Brassicaceae telomerase ribonucleoprotein complex 92%
Similar papers in this journal
- Multi-season analysis reveals hundreds of drought-responsive genes in sorghum 94%
- GOLEM: A tool for visualizing the distribution of Gene regulatOry eLEMents within the plant promoters with a focus on male gametophyte 94%
- Systematic analysis of 1,298 RNA-Seq samples and construction of a comprehensive soybean (Glycine max) expression atlas 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.