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      High-throughput sequencing revealed that microRNAs were involved in the development of superior and inferior grains in bread wheat

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          Abstract

          High-throughput sequencing was employed to investigate the expression of miRNAs and their target genes in superior and inferior seeds of Aikang 58. Small RNA sequencing revealed 620 conserved and 64 novel miRNAs in superior grains, and 623 conserved and 66 novel miRNAs in inferior grains. Among these, 97 known miRNAs, and eight novel miRNAs showed differential expression between the superior and inferior seeds. Degradome sequencing revealed at least 140 candidate target genes associated with 35 miRNA families during the development of superior and inferior seeds. GO and KEGG pathway analysis showed that the differentially expressed miRNAs, both conserved and novel, were likely involved in hormone production, carbohydrate metabolic pathways, and cell division. We validated eight known and four novel grain development-related miRNAs and their target genes by quantitative real-time polymerase chain reaction to ensure the reliability of small RNA and degradome-seq results. Of these, miR160 and miR165/166 were knocked down in Arabidopsis using short-tandem target mimic (STTM160 and STTM165/166) technology, which confirmed their roles in seed development. Specifically, STTM160 showed significantly smaller grain size, lower grain weight, shorter siliques length, shorter plant height, and more serrated leaves, whereas STTM165/166 showed decreased seed number, disabled siliques, and curled upward leaves.

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          Most cited references40

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          psRNATarget: a plant small RNA target analysis server

          Plant endogenous non-coding short small RNAs (20–24 nt), including microRNAs (miRNAs) and a subset of small interfering RNAs (ta-siRNAs), play important role in gene expression regulatory networks (GRNs). For example, many transcription factors and development-related genes have been reported as targets of these regulatory small RNAs. Although a number of miRNA target prediction algorithms and programs have been developed, most of them were designed for animal miRNAs which are significantly different from plant miRNAs in the target recognition process. These differences demand the development of separate plant miRNA (and ta-siRNA) target analysis tool(s). We present psRNATarget, a plant small RNA target analysis server, which features two important analysis functions: (i) reverse complementary matching between small RNA and target transcript using a proven scoring schema, and (ii) target-site accessibility evaluation by calculating unpaired energy (UPE) required to ‘open’ secondary structure around small RNA’s target site on mRNA. The psRNATarget incorporates recent discoveries in plant miRNA target recognition, e.g. it distinguishes translational and post-transcriptional inhibition, and it reports the number of small RNA/target site pairs that may affect small RNA binding activity to target transcript. The psRNATarget server is designed for high-throughput analysis of next-generation data with an efficient distributed computing back-end pipeline that runs on a Linux cluster. The server front-end integrates three simplified user-friendly interfaces to accept user-submitted or preloaded small RNAs and transcript sequences; and outputs a comprehensive list of small RNA/target pairs along with the online tools for batch downloading, key word searching and results sorting. The psRNATarget server is freely available at http://plantgrn.noble.org/psRNATarget/.
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            Control of grain size, shape and quality by OsSPL16 in rice.

            Grain size and shape are important components of grain yield and quality and have been under selection since cereals were first domesticated. Here, we show that a quantitative trait locus GW8 is synonymous with OsSPL16, which encodes a protein that is a positive regulator of cell proliferation. Higher expression of this gene promotes cell division and grain filling, with positive consequences for grain width and yield in rice. Conversely, a loss-of-function mutation in Basmati rice is associated with the formation of a more slender grain and better quality of appearance. The correlation between grain size and allelic variation at the GW8 locus suggests that mutations within the promoter region were likely selected in rice breeding programs. We also show that a marker-assisted strategy targeted at elite alleles of GS3 and OsSPL16 underlying grain size and shape can be effectively used to simultaneously improve grain quality and yield.
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              Biogenesis, turnover, and mode of action of plant microRNAs.

              MicroRNAs (miRNAs) are small RNAs that control gene expression through silencing of target mRNAs. Mature miRNAs are processed from primary miRNA transcripts by the endonuclease activity of the DICER-LIKE1 (DCL1) protein complex. Mechanisms exist that allow the DCL1 complex to precisely excise the miRNA from its precursor. Our understanding of miRNA biogenesis, particularly its intersection with transcription and other aspects of RNA metabolism such as splicing, is still evolving. Mature miRNAs are incorporated into an ARGONAUTE (AGO) effector complex competent for target gene silencing but are also subjected to turnover through a degradation mechanism that is beginning to be understood. The mechanisms of miRNA target silencing in plants are no longer limited to AGO-catalyzed slicing, and the contribution of translational inhibition is increasingly appreciated. Here, we review the mechanisms underlying the biogenesis, turnover, and activities of plant miRNAs.
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                Author and article information

                Contributors
                chf0088@163.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 September 2018
                14 September 2018
                2018
                : 8
                : 13854
                Affiliations
                [1 ]GRID grid.108266.b, Agronomy College/National Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, , Henan Agricultural University, ; 15 Longzihu College District, Zhengzhou, 450046 China
                [2 ]ISNI 0000 0001 0663 5937, GRID grid.259979.9, Department of Biological Sciences, , Life Science and Technology Instituted, Michigan Technological University, ; Houghton, MI 49931 USA
                Article
                31870
                10.1038/s41598-018-31870-z
                6138641
                890e989b-8af6-47a3-98de-a6250933fb3f
                © 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
                : 23 January 2018
                : 28 August 2018
                Funding
                Funded by: National Key Research and Development Program (2016YFD0101802), Henan Major Science and Technology Projects (161100110500) and Henan Science and Technology Innovation Outstanding Youth Funding (174100510001) of China
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