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      Overexpressing lncRNA LAIR increases grain yield and regulates neighbouring gene cluster expression in rice

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          Abstract

          Long noncoding RNAs (lncRNAs) are essential regulators of gene expression in eukaryotes. Despite increasing knowledge on the function of lncRNAs, little is known about their effects on crop yield. Here, we identify a lncRNA transcribed from the antisense strand of neighbouring gene LRK (leucine-rich repeat receptor kinase) cluster named LAIR ( LRK Antisense Intergenic RNA). LAIR overexpression increases rice grain yield and upregulates the expression of several LRK genes. Additionally, chromatin immunoprecipitation assay results indicate H3K4me3 and H4K16ac are significantly enriched at the activated LRK1 genomic region. LAIR binds histone modification proteins OsMOF and OsWDR5 in rice cells, which are enriched in LRK1 gene region. Moreover, LAIR is demonstrated to bind 5′ and 3′ untranslated regions of LRK1 gene. Overall, this study reveals the role of lncRNA LAIR in regulating rice grain yield and lncRNAs may be useful targets for crop breeding.

          Abstract

          The effect of long noncoding RNAs (lncRNAs) on crop yield is unknown. Here, the authors show overexpression of a lncRNA, transcribed from the antisense strand of the previously discovered gene cluster LRK, can upregulate LRK genes’ expression, change histone modification status of LRK1, and increase rice grain yield.

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          Most cited references31

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          The Pfam protein families database.

          Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations include modelling of discontinuous domains allowing Pfam domain definitions to be closer to those found in structure databases. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://Pfam.cgb.ki.se/).
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            Transient expression vectors for functional genomics, quantification of promoter activity and RNA silencing in plants

            Background We describe novel plasmid vectors for transient gene expression using Agrobacterium, infiltrated into Nicotiana benthamiana leaves. We have generated a series of pGreenII cloning vectors that are ideally suited to transient gene expression, by removing elements of conventional binary vectors necessary for stable transformation such as transformation selection genes. Results We give an example of expression of heme-thiolate P450 to demonstrate effectiveness of this system. We have also designed vectors that take advantage of a dual luciferase assay system to analyse promoter sequences or post-transcriptional regulation of gene expression. We have demonstrated their utility by co-expression of putative transcription factors and the promoter sequence of potential target genes and show how orthologous promoter sequences respond to these genes. Finally, we have constructed a vector that has allowed us to investigate design features of hairpin constructs related to their ability to initiate RNA silencing, and have used these tools to study cis-regulatory effect of intron-containing gene constructs. Conclusion In developing a series of vectors ideally suited to transient expression analysis we have provided a resource that further advances the application of this technology. These minimal vectors are ideally suited to conventional cloning methods and we have used them to demonstrate their flexibility to investigate enzyme activity, transcription regulation and post-transcriptional regulatory processes in transient assays.
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              SMART 5: domains in the context of genomes and networks

              The Simple Modular Architecture Research Tool (SMART) is an online resource () used for protein domain identification and the analysis of protein domain architectures. Many new features were implemented to make SMART more accessible to scientists from different fields. The new ‘Genomic’ mode in SMART makes it easy to analyze domain architectures in completely sequenced genomes. Domain annotation has been updated with a detailed taxonomic breakdown and a prediction of the catalytic activity for 50 SMART domains is now available, based on the presence of essential amino acids. Furthermore, intrinsically disordered protein regions can be identified and displayed. The network context is now displayed in the results page for more than 350 000 proteins, enabling easy analyses of domain interactions.
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                Author and article information

                Contributors
                weisu@fudan.edu.cn
                jsyang@fudan.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                29 August 2018
                29 August 2018
                2018
                : 9
                : 3516
                Affiliations
                [1 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, , Fudan University, ; Shanghai, 200438 China
                [2 ]Research Center for Ecological Science and Technology, Fudan Zhangjiang Institute, Shanghai, 201203 China
                [3 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, , Fudan University, ; Shanghai, 200433 China
                [4 ]ISNI 0000 0001 2219 2654, GRID grid.453534.0, College of Chemistry and Life Science, , Zhejiang Normal University, ; Jinhua, 321004 China
                [5 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, State Key Laboratory of Genetic Engineering, Institute of Plant Biology, Department of Biochemistry, School of Life Sciences, , Fudan University, ; Shanghai, 200438 China
                Article
                5829
                10.1038/s41467-018-05829-7
                6115402
                30158538
                29cb826b-1896-4ecd-8dba-459fb7a570f3
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 December 2017
                : 26 July 2018
                Funding
                Funded by: China Postdoctoral Science Foundation Funded Project (KLH1322099).
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 31671263
                Award Recipient :
                Funded by: National Key Research and Development Program of China (2016YFD0100902).
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