Dataset Information


Identification and characterization of pineapple leaf lncRNAs in crassulacean acid metabolism (CAM) photosynthesis pathway.

ABSTRACT: Long noncoding RNAs (lncRNAs) have been identified in many mammals and plants and are known to play crucial roles in multiple biological processes. Pineapple is an important tropical fruit and a good model for studying the plant evolutionary adaptation to the dry environment and the crassulacean acid metabolism (CAM) photosynthesis strategy; however, the lncRNAs involved in CAM pathway remain poorly characterized. Here, we analyzed the available RNA-seq data sets derived from 26 pineapple leaf samples at 13 time points and identified 2,888 leaf lncRNAs, including 2,046 long intergenic noncoding RNAs (lincRNAs) and 842 long noncoding natural antisense transcripts (lncNATs). Pineapple leaf lncRNAs are expressed in a highly tissue-specific manner. Co-expression analysis of leaf lncRNA and mRNA revealed that leaf lncRNAs are preferentially associated with photosynthesis genes. We further identified leaf lncRNAs that potentially function as competing endogenous RNAs (ceRNAs) of two CAM photosynthesis pathway genes, PPCK and PEPC, and revealed their diurnal expression pattern in leaves. Moreover, we found that 48% of lncRNAs exhibit diurnal expression patterns in leaves, suggesting their important roles in CAM. This study conducted a comprehensive genome-wide analysis of leaf lncRNAs and identified their role in gene expression regulation of the CAM photosynthesis pathway in pineapple.


PROVIDER: S-EPMC6491598 | BioStudies | 2019-01-01

REPOSITORIES: biostudies

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