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      A natural tandem array alleviates epigenetic repression of IPA1 and leads to superior yielding rice

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          Abstract

          Super hybrid rice varieties with ideal plant architecture (IPA) have been critical in enhancing food security worldwide. However, the molecular mechanisms underlying their improved yield remain unclear. Here, we report the identification of a QTL, qWS8/ipa1- 2D, in the super rice Yongyou12 (YY12) and related varieties. In-depth genetic molecular characterization of qWS8/ ipa1-2D reveals that this newly identified QTL results from three distal naturally occurring tandem repeats upstream of IPA1, a key gene/locus previously shown to shape rice ideal plant architecture and greatly enhance grain yield. The qWS8/ipa1-2D locus is associated with reduced DNA methylation and a more open chromatin state at the IPA1 promoter, thus alleviating the epigenetic repression of IPA1 mediated by nearby heterochromatin. Our findings reveal that IPA traits can be fine-tuned by manipulating IPA1 expression and that an optimal IPA1 expression/dose may lead to an ideal yield, demonstrating a practical approach to efficiently design elite super rice varieties.

          Abstract

          Breeding of rice with ideal plant architecture has increased rice yield worldwide. Here Zhang et al. show that, in the super rice variety YY12, this ideal plant architecture trait arose from three distal tandem repeats that are associated with an open chromatin state and increased expression of the IPA1 gene.

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          Most cited references28

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          Cytokinin oxidase regulates rice grain production.

          Most agriculturally important traits are regulated by genes known as quantitative trait loci (QTLs) derived from natural allelic variations. We here show that a QTL that increases grain productivity in rice, Gn1a, is a gene for cytokinin oxidase/dehydrogenase (OsCKX2), an enzyme that degrades the phytohormone cytokinin. Reduced expression of OsCKX2 causes cytokinin accumulation in inflorescence meristems and increases the number of reproductive organs, resulting in enhanced grain yield. QTL pyramiding to combine loci for grain number and plant height in the same genetic background generated lines exhibiting both beneficial traits. These results provide a strategy for tailormade crop improvement.
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            Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

            Yield potential, plant height and heading date are three classes of traits that determine the productivity of many crop plants. Here we show that the quantitative trait locus (QTL) Ghd7, isolated from an elite rice hybrid and encoding a CCT domain protein, has major effects on an array of traits in rice, including number of grains per panicle, plant height and heading date. Enhanced expression of Ghd7 under long-day conditions delays heading and increases plant height and panicle size. Natural mutants with reduced function enable rice to be cultivated in temperate and cooler regions. Thus, Ghd7 has played crucial roles for increasing productivity and adaptability of rice globally.
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              Green revolution: a mutant gibberellin-synthesis gene in rice.

              The chronic food shortage that was feared after the rapid expansion of the world population in the 1960s was averted largely by the development of a high-yielding semi-dwarf variety of rice known as IR8, the so-called rice 'green revolution'. The short stature of IR8 is due to a mutation in the plant's sd1 gene, and here we identify this gene as encoding an oxidase enzyme involved in the biosynthesis of gibberellin, a plant growth hormone. Gibberellin is also implicated in green-revolution varieties of wheat, but the reduced height of those crops is conferred by defects in the hormone's signalling pathway.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                20 March 2017
                2017
                : 8
                : 14789
                Affiliations
                [1 ]National Key Laboratory of Plant Molecular Genetics and National Center of Plant Gene Research, Institute of Plant Physiology & Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences , Shanghai 200032, China
                [2 ]Shanghai Center for Plant Stress Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences , Shanghai 201602, China
                [3 ]University of the Chinese Academy of Sciences , Beijing 100049, China
                [4 ]State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences , Beijing 100101, China
                [5 ]School of Life Science and Technology, Shanghai Tech University , Shanghai 201210, China
                [6 ]Institute of Crops and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences , Hangzhou 310021, China
                [7 ]Jiaxing Academy of Agricultural Sciences , Jiaxing, Zhejiang 314016, China
                [8 ]National Center for Gene Research, CAS Center for Excellence of Molecular Plant Sciences, Institute of Plant Physiology & Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences , Shanghai 200233, China
                [9 ]Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences , Shenzhen 518120, China
                Author notes
                [*]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-1748-8693
                http://orcid.org/0000-0002-6098-7893
                http://orcid.org/0000-0002-0487-6574
                Article
                ncomms14789
                10.1038/ncomms14789
                5364388
                28317902
                4c31f09b-3c7f-44e2-9433-227a32d48574
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 26 August 2016
                : 01 February 2017
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