Please use this identifier to cite or link to this item:
http://223.31.159.10:8080/jspui/handle/123456789/1486
Title: | Long non-coding RNA and microRNA landscape of two major domesticated cotton species |
Authors: | Singh, Ajeet AT, Vivek Gupta, Kanika Sharma, Shruti Kumar, Shailesh |
Keywords: | Non-coding RNAs MiRNA LncRNA Cotton Gossypium hirsutum Gossypium barbadense |
Issue Date: | 2023 |
Publisher: | Elsevier B.V. |
Citation: | Computational and Structural Biotechnology Journal, 21: 3032-3044 |
Abstract: | Allotetraploid cotton plants Gossypium hirsutum and Gossypium barbadense have been widely cultivated for their natural, renewable textile fibres. Even though ncRNAs in domesticated cotton species have been extensively studied, systematic identification and annotation of lncRNAs and miRNAs expressed in various tissues and developmental stages under various biological contexts are limited. This influences the comprehension of their functions and future research on these cotton species. Here, we report high confidence lncRNAs and miRNA collection from G. hirsutum accession and G. barbadense accession using large-scale RNA-seq and small RNA-seq datasets incorporated into a user-friendly database, CoNCRAtlas. This database provides a wide range and depth of lncRNA and miRNA annotation based on the systematic integration of extensive annotations such as expression patterns derived from transcriptome data analysis in thousands of samples, as well as multi-omics annotations. We assume this comprehensive resource will accelerate evolutionary and functional studies in ncRNAs and inform future breeding programs for cotton improvement. CoNCRAtlas is accessible at http://www.nipgr.ac.in/CoNCRAtlas/. |
Description: | Accepted date: 11 May 2023 |
URI: | https://www.sciencedirect.com/science/article/pii/S2001037023001939 http://223.31.159.10:8080/jspui/handle/123456789/1486 |
ISSN: | 2001-0370 |
Appears in Collections: | Institutional Publications |
Files in This Item:
File | Description | Size | Format | |
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Kumar Shai_2023_3.pdf | 12.92 MB | Adobe PDF | View/Open |
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