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5篇 您的检索式:作者名="Zhenyuan Shi"
    题名 作者 年代 出处 被引量
1A Rare Allele of GS2 Enhances Grain Size anc Grain Yield in Rice显示文摘谷物尺寸决定谷物重量并且影响谷物质量。调整谷物尺寸的几主要量的特点 loci (QTL ) 被克隆;然而,我们调整米饭谷物的尺寸的内在的机制的理解仍然保持碎片。这里,我们报导克隆和主导的 QTL 的描述,染色体 2 上的谷物尺寸(GS2 ) 编码调整生长的因素 4,一个 transcriptional 管理者。GS2 本地化到原子核并且可以充当抄写使活跃之物。影响 microRNA 的有约束力的地点的 GS2 的一个稀罕变化, OsmiR396c,原因提高了 GS2/OsGRF4 的表示。GS2 表示的增加导致更大的房间和房间的增加的数字,它因此提高谷物重量和产量。进米饭栽培变种的 GS2/OsGRF4 的这稀罕等位基因的介绍能显著地提高谷物重量和增加谷物产量,用在引起产量很高的米饭变化的可能的应用。Jiang Hu Yuexing Wang Yunxia Fang Longjun Zeng Jie Xu Haiping Yu Zhenyuan Shi Jiangjie Pan Dong Zhang Shujing Kang Li Zhu Guojun Dong Longbiao Guo Dali Zeng Guangheng Zhang Lihong Xie Guosheng Xiong Jiayang Li Qian Qian 2015Molecular Plant2015,8,10:57
2MULTI-TILLERING DWARF1, a new allele of BRITTLE CULM 12, affects plant height and tiller in rice显示文摘Plant height and tillering are crucial factors determining rice plant architecture and influencing rice grain production. In this study, multi-tillering dwarf1(mtd1), a stable multi-tiller and dwarf mutant, was screened from the ethylmethane sulfonate-treated japonica rice variety Wuyunging7. Compared with the wild type, mtd1 mutant exhibited pleiotropic phenotypes, including dwarfism, more tillers, brittle culms and delayed heading date.By employing map-based cloning strategy, the gene MTD1 was finally mapped to an approximately 66-kb region on the short arm of chromosome 9. Sequencing results showed that the gene LOC_Os09g02650(BC12) in mtd1 mutant had a single nucleotide substitution(G to A), which generated a premature translation stop. Over-expressing MTD1/BC12 coding sequence rescued all the phenotypes of mtd1 mutants including plant height and tillers, which confirms that BC12 is the mutated gene in mtd1 mutant.Quantitative reverse transcription-PCR analysis showed that MTD1/BC12 could negatively regulate the expression of MONOCULM 1, IDEAL PLANT ARCHITECTURE1 and Tillering and Dwarf 1, and control rice tillering. Remarkably, a-amylase activity analysis and gibberellic acid(GA)treatment showed that the dwarf phenotype of mtd1 mutant was dependent on GA biosynthesis pathway. These results facilitated to further uncover the molecular mechanism of the growth and development in rice.Haiping Yu Deyong Ren Yangzhou Zhu Jiangmin Xu Yuexing Wang Ruifang Liu Yunxia Fang Zhenyuan Shi Jiangjie Pan Mei Lu Bojun Ma Jiang Hu Yuchun Rao 2016Science Bulletin2016,61,23:3
3Identification and characterization of Mini1, a gene regulating rice shoot development显示文摘The aerial parts of higher plants are generated from the shoot apical meristem(SAM). In this study, we isolated a small rice(Oryza sativa L.) mutant that showed premature termination of shoot development and was named mini rice 1(mini1). The mutant was first isolated from a japonica cultivar Zhonghua11(ZH11) subjected to ethyl methanesulfonate(EMS)treatment. With bulked segregant analysis(BSA) and map-based cloning method, Mini1 gene was finally fine-mapped to an interval of 48.6 kb on chromosome 9. Sequence analyses revealed a single base substitution from G to A was found in the region, which resulted in an amino acid change from Gly to Asp.The candidate gene Os09g0363900 was predicted to encode a putative adhesion of calyx edges protein ACE(putative HOTHEAD precursor) and genetic complementation experiment confirmed the identity of Mini1. Os09g0363900 contains glucose-methanol-choline(GMC) oxidoreductase and NAD(P)-binding Rossmann-like domain, and exhibits high similarity to Arabidopsis HOTHEAD(HTH). Expression analysis indicated Mini1 was highly expressed in young shoots but lowly in roots and the expression level of most genes involved in auxin biosynthesis and signal transduction were reduced in mutant.We conclude that Mini1 plays an important role in maintaining SAM activity and promoting shoot development in rice.Yunxia Fang Jiang Hu Jie Xu Haiping Yu Zhenyuan Shi Guosheng Xiong Li Zhu Dali Zeng Guangheng Zhang Zhenyu Gao Guojun Dong Meixian Yan Longbiao Guo Yonghong Wang Qian Qian 2015Journal of Integrative Plant Biology2015,57,2:3
4A Top-down Method of Extraction Entity Relationship Triples and Obtaining Annotated Data显示文摘The extraction of entity relationship triples is very important to build a knowledge graph(KG),meanwhile,various entity relationship extraction algorithms are mostly based on data-driven,especially for the current popular deep learning algorithms.Therefore,obtaining a large number of accurate triples is the key to build a good KG as well as train a good entity relationship extraction algorithm.Because of business requirements,this KG’s application field is determined and the experts’opinions also must be satisfied.Considering these factors we adopt the top-down method which refers to determining the data schema firstly,then filling the specific data according to the schema.The design of data schema is the top-level design of KG,and determining the data schema according to the characteristics of KG is equivalent to determining the scope of data’s collection and the mode of data’s organization.This method is generally suitable for the construction of domain KG.This article proposes a fast and efficient method to extract the topdown type KG’s triples in social media with the help of structured data in the information box on the right side of the related encyclopedia webpage.At the same time,based on the obtained triples,a data labeling method is proposed to obtain sufficiently high-quality training data,using in various Natural Language Processing(NLP)information extraction algorithms’training.Zhiqiang Hu Zheng Ma Jun Shi Zhipeng Li Xun Shao Yangzhao Yang Yong Liao Zhenyuan Gao Jie Zhang 2022Journal of Quantum Computing2022,4,1:0
5A New-Nipponbare Rice Germplasm with High Seed-Setting Rate显示文摘Rice(Oryza sativa L.)is an important crop providing staple food for more than half the world’s population and also considered as a model plant for molecular biological study of the cereals.In 1998,the large-scale sequencing of japonica rice cultivar Nipponbare(bred at Aichi Agricultural Center in Japan and released in 1963)was initiated byJiang Hu Guojun Dong Yunxia Fang Yuchun Rao Jie Xu Dawei Xue Haiping Yu Changwei Ge Zhenyuan Shi Jiangjie Pan Li Zhu Dali Zeng Guangheng Zhang Longbiao Guo Qian Qian 2014Journal of Genetics and Genomics2014,41,10:0
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