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Systematic comparison of lncRNAs with protein coding mRNAs in population expression and their response to environmental change
Xu, Qin1; Song, Zhihong1,3; Zhu, Caiyun2,3; Tao, Chengcheng1,3; Kang, Lifang1; Liu, Wei2; He, Fei4; Yan, Juan5; Sang, Tao1,2
2017
发表期刊BMC PLANT BIOLOGY
ISSN1471-2229
卷号17
摘要Background: Long non-coding RNA (lncRNA) is a class of non-coding RNA with important regulatory roles in biological process of organisms. The systematic comparison of lncRNAs with protein coding mRNAs in population expression and their response to environmental change are still poorly understood. Here we identified 17,610 lncRNAs and calculated their expression levels based on RNA-seq of 80 individuals of Miscanthus lutarioriparius from two environments, the nearly native habitats and transplanted field, respectively. Results: LncRNAs had significantly higher expression diversity and lower expression frequency in population than protein coding mRNAs in both environments, which suggested that lncRNAs may experience more relaxed selection or divergent evolution in population compared with protein coding RNAs. In addition, the increase of expression diversity for lncRNAs was always significantly higher and the magnitude of fold change of expression in new stress environment was significantly larger than protein-coding mRNAs. These results suggested that lncRNAs may be more sensitive to environmental change than protein-coding mRNAs. Analysis of environment-robust and environment-specific lncRNA-mRNA co-expression network between two environments revealed the characterization of lncRNAs in response to environmental change. Furthermore, candidate lncRNAs contributing to water use efficiency (WUE) identified based on the WUE-lncRNA-mRNA co-expression network suggested the roles of lncRNAs in response to environmental change. Conclusion: Our study provided a comprehensive understanding of expression characterization of lncRNAs in population for M. lutarioriparius under field condition, which would be useful to explore the roles of lncRNAs and could accelerate the process of adaptation in new environment for many plants.
关键词Population transcriptome lncRNAs Miscanthus lutarioriparius Co expression Environmental response Expression diversity
学科领域Biochemistry & Molecular Biology ; Plant Sciences
DOI10.1016/j.molp.2017.04.007
收录类别SCI
语种英语
WOS关键词LONG NONCODING RNAS ; MISCANTHUS ENERGY CROPS ; WATER-USE EFFICIENCY ; GENE-EXPRESSION ; LOESS PLATEAU ; REVEALS ; TRANSCRIPTOME ; STRESS ; SEQUENCE ; IDENTIFICATION
WOS记录号WOS:000402400000004
出版者BMC
文献子类Article
出版地LONDON
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31500186] ; Key Program of the National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [91131902]
作者邮箱sang@ibcas.ac.cn
作品OA属性Bronze
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/22301
专题系统与进化植物学国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, Key Lab Plant Resources, Beijing 100093, Peoples R China
2.Chinese Acad Sci, Inst Bot, Beijing Bot Garden, Beijing 100093, Peoples R China
3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Brookhaven Natl Lab, Dept Biol, Upton, NY 11973 USA
6.Chinese Acad Sci, Key Lab Plant Germplasm Enhancement & Special Agr, Wuhan Bot Garden, Wuhan 430074, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Xu, Qin,Song, Zhihong,Zhu, Caiyun,et al. Systematic comparison of lncRNAs with protein coding mRNAs in population expression and their response to environmental change[J]. BMC PLANT BIOLOGY,2017,17.
APA Xu, Qin.,Song, Zhihong.,Zhu, Caiyun.,Tao, Chengcheng.,Kang, Lifang.,...&Sang, Tao.(2017).Systematic comparison of lncRNAs with protein coding mRNAs in population expression and their response to environmental change.BMC PLANT BIOLOGY,17.
MLA Xu, Qin,et al."Systematic comparison of lncRNAs with protein coding mRNAs in population expression and their response to environmental change".BMC PLANT BIOLOGY 17(2017).
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