Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/ncomms15513 |
Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton | |
Wang, Kun1; Wang, Dehe1,2; Zheng, Xiaomin1; Qin, Ai1; Zhou, Jie1; Guo, Boyu1; Chen, Yanjun1; Wen, Xingpeng3; Ye, Wen4; Zhou, Yu1,2,3; Zhu, Yuxian1,3 | |
2019-10-17 | |
发表期刊 | NATURE COMMUNICATIONS |
ISSN | 2041-1723 |
出版年 | 2019 |
卷号 | 10 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Cotton is an important natural fiber crop, however, its comprehensive and high-resolution gene map is lacking. Here we integrate four complementary high-throughput techniques, including Pacbio long read Iso-seq, strand-specific RNA-seq, CAGE-seq, and PolyA-seq, to systematically explore the transcription landscape across 16 tissues or different organ types in Gossypium arboreum. We devise a computational pipeline, named IGIA, to reconstruct accurate gene structures from the integrated data. Our results reveal a dynamic and diverse transcriptional map in cotton: tissue-specific gene expression, alternative usage of TSSs and polyadenylation sites, hotspot of alternative splicing, and transcriptional read-through. These regulated events affect many genes in various aspects such as gain or loss of functional RNA motifs and protein domains, fine-tuning of DNA binding activity, and co-regulation for genes in the same complex or pathway. The methods and findings provide valuable resources for further functional genomic studies such as understanding natural SNP variations for plant community. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000490701700003 |
WOS关键词 | FUNCTIONAL CONSEQUENCES ; GENOME SEQUENCE ; GENE-EXPRESSION ; START SITES ; POLYADENYLATION ; IDENTIFICATION ; EVOLUTION ; PROVIDES ; PROTEIN ; STRESS |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/203358 |
专题 | 资源环境科学 |
作者单位 | 1.Wuhan Univ, Coll Life Sci, Wuhan 430072, Hubei, Peoples R China; 2.Wuhan Univ, State Key Lab Virol, Wuhan 430072, Hubei, Peoples R China; 3.Wuhan Univ, Inst Adv Studies, Wuhan 430072, Hubei, Peoples R China; 4.Wuhan Univ, Med Res Inst, Sch Med, Wuhan 430072, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Kun,Wang, Dehe,Zheng, Xiaomin,et al. Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton[J]. NATURE COMMUNICATIONS,2019,10. |
APA | Wang, Kun.,Wang, Dehe.,Zheng, Xiaomin.,Qin, Ai.,Zhou, Jie.,...&Zhu, Yuxian.(2019).Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton.NATURE COMMUNICATIONS,10. |
MLA | Wang, Kun,et al."Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton".NATURE COMMUNICATIONS 10(2019). |
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