Literature DB >> 29804262

Identification of transposons near predicted lncRNA and mRNA pools of Prunus mume using an integrative transposable element database constructed from Rosaceae plant genomes.

Kaifeng Ma1, Qixiang Zhang2,3, Tangren Cheng1, Jia Wang1.   

Abstract

This study focused on the construction of a database of transposable elements (TEs) from Rosaceae plants, the third most economically important plant family in temperate regions, and its transcriptomics applications. The evolutionary effects of TEs on gene regulation have been explored, and TE insertions can be the molecular bases of changes in gene structure and function. However, a specific Rosaceae plant TE database (RPTEdb) is lacking. The genomes of several Rosaceae plants have been sequenced, providing the opportunity to mine TE data at a whole-genome level. Therefore, we constructed the RPTEdb, a collective and comprehensive database of 19,596 annotated TEs in the genomes of Rosaceae plants using previously described identification and annotation methods and published genome sequences. The user-friendly web-based database provides access to research tools through hyperlinks, including Browse, TE tree, tools, JBrowse, and search sections, and through the inputting of sequences on the main webpage. Next, we performed one advanced application in which TEs near predicted long non-coding RNA (lncRNA) and mRNA domains within white and red petal-tissue transcriptomes of Prunus mume 'Fuban Tiaozhi' were identified, revealing 16 TEs that overlapped or were near 16 differentially expressed lncRNA domains, and 54 TEs that overlapped or were near 54 differentially expressed mRNA domains, and the TEs' possible functions were also discussed. We believe that the RPTEdb will contribute to the understanding of TE roles in the structural, functional and evolutionary dynamics of Rosaceae plant genomes.

Entities:  

Keywords:  Annotation; Application; Database; LncRNA and mRNA; Rosaceae plants; Transposons

Mesh:

Substances:

Year:  2018        PMID: 29804262     DOI: 10.1007/s00438-018-1449-y

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  66 in total

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