4.7 Article

An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea

期刊

COMMUNICATIONS BIOLOGY
卷 5, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s42003-022-04083-4

关键词

-

资金

  1. Department of Biotechnology, Government of India, New Delhi [BT/AGR/CG-PhaseII/01/2014]
  2. Tata Innovation Fellowship from the Department of Biotechnology, Government of India, New Delhi
  3. Center for Computational Biology and Bioinformatics from the Department of Biotechnology, Government of India [BT/PR40251/BTIS/137/11/2021]
  4. FIST scheme from the Department of Science & Technology, Government of India
  5. Science and Engineering Research Board, New Delhi

向作者/读者索取更多资源

A full-length transcriptome and expression atlas of protein-coding genes and long non-coding RNAs is generated in chickpea. Components of transcriptional regulatory networks and candidate tissue-specific transcripts associated with quantitative trait loci are identified. These results provide an important resource to advance functional/translational genomic and genetic studies during chickpea development and environmental conditions.
A full-length transcriptome and expression atlas of protein-coding genes and long non-coding RNAs is generated in chickpea. Components of transcriptional regulatory networks and candidate tissue-specific transcripts associated with quantitative trait loci are identified. Large-scale transcriptome analysis can provide a systems-level understanding of biological processes. To accelerate functional genomic studies in chickpea, we perform a comprehensive transcriptome analysis to generate full-length transcriptome and expression atlas of protein-coding genes (PCGs) and long non-coding RNAs (lncRNAs) from 32 different tissues/organs via deep sequencing. The high-depth RNA-seq dataset reveal expression dynamics and tissue-specificity along with associated biological functions of PCGs and lncRNAs during development. The coexpression network analysis reveal modules associated with a particular tissue or a set of related tissues. The components of transcriptional regulatory networks (TRNs), including transcription factors, their cognate cis-regulatory motifs, and target PCGs/lncRNAs that determine developmental programs of different tissues/organs, are identified. Several candidate tissue-specific and abiotic stress-responsive transcripts associated with quantitative trait loci that determine important agronomic traits are also identified. These results provide an important resource to advance functional/translational genomic and genetic studies during chickpea development and environmental conditions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据