首站-论文投稿智能助手
典型文献
Ionomic Profiling of Rice Genotypes and Identification of Varieties with Elemental Covariation Effects
文献摘要:
Ionomic profiles are primarily influenced by genetic and environmental factors. Identifying ionomic responses to varietal effects is necessary to understand the ionomic variations among species or subspecies and to potentially understand genetic effects on ionomic profiles. We cultivated 120 rice (Oryza sativa) varieties to seedling stage in identical hydroponic conditions and determined the concentrations of 26 elements (including 3 anions) in the shoots and roots of rice. Although the subspecies effects were limited by the genus Oryza pre-framework and its elemental chemical properties, we found significant differences in ionomic variations in most elements among the aus, indica and japonica subspecies. Principal component analysis of the correlations indicated that variations in the root-to-shoot ionomic transport mechanisms were the main causes of ionomic differences among the subspecies. Furthermore, the correlations were primarily associated with the screening of varieties for elemental covariation effects that can facilitate breeding biofortified rice varieties with safe concentrations of otherwise toxic elements. The japonica subspecies exhibited the strongest elemental correlations and elemental covariation effects, therefore, they showed greater advantages for biofortification than the indica and aus subspecies, whereas indica and aus subspecies were likely safer in metal(loid) polluted soils. We also found that geographical and historical distribution significantly defined the ionomic profiles. Overall, the results of this study provided a reference for further association studies to improve the nutritional status and minimize toxicity risks in rice production.
文献关键词:
作者姓名:
ZHANG Chengming;Nobuhiro TANAKA;Maria Stefanie DwIYANTI;Matthew SHENTON;Hayato MARUYAMA;Takuro SHINANO;CHU Qingnan;XIE Jun;Toshihiro WATANABE
作者机构:
Research Faculty of Agriculture,Hokkaido University,Sapporo 060-8589,Japan;Institute of Crop Science,National Agriculture and Food Research Organization,Tsukuba 305-8518,Japan;Graduate School of Agricultural and Life Sciences,The University of Tokyo,Tokyo 113-8657,Japan;College of Resources and Environment,Southwest University,Chongqing 400715,China
引用格式:
[1]ZHANG Chengming;Nobuhiro TANAKA;Maria Stefanie DwIYANTI;Matthew SHENTON;Hayato MARUYAMA;Takuro SHINANO;CHU Qingnan;XIE Jun;Toshihiro WATANABE-.Ionomic Profiling of Rice Genotypes and Identification of Varieties with Elemental Covariation Effects)[J].水稻科学(英文版),2022(01):76-88,中插25-29
A类:
Ionomic,Genotypes,Covariation,ionomic,varietal,biofortified,biofortification
B类:
Profiling,Rice,Identification,Varieties,Elemental,Effects,profiles,are,primarily,influenced,by,genetic,environmental,factors,Identifying,responses,effects,necessary,understand,variations,among,subspecies,potentially,We,cultivated,rice,Oryza,sativa,varieties,seedling,stage,identical,hydroponic,conditions,determined,concentrations,elements,including,anions,shoots,roots,Although,were,limited,genus,pre,framework,its,elemental,chemical,properties,found,differences,most,japonica,Principal,component,analysis,correlations,indicated,that,transport,mechanisms,main,causes,Furthermore,associated,screening,covariation,facilitate,breeding,otherwise,exhibited,strongest,therefore,they,showed,greater,advantages,than,whereas,likely,safer,metal,loid,polluted,soils,also,geographical,historical,distribution,significantly,defined,Overall,results,this,study,provided,reference,further,association,studies,improve,nutritional,status,minimize,toxicity,risks,production
AB值:
0.479541
相似文献
Elite sd1 alleles in japonica rice and their breeding applications in northeast China
Hanjing Sha;Hualong Liu;Guangxin Zhao;Zhongmin Han;Huilin Chang;Jingguo Wang;Hongliang Zheng;Jifeng Zhang;Yang Yu;Yuqiang Liu;Detang Zou;Shoujun Nie;Jun Fang-Key Laboratory of Soybean Molecular Design Breeding,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Harbin 150081,Heilongjiang,China;Key Laboratory of Germplasm Enhancement,Physiology and Ecology of Food Crops in Cold Region,Ministry of Education,Northeast Agricultural University,Harbin 150030,Heilongjiang,China;University of Chinese Academy of Sciences,Beijing 100049,China;Innovation Center,Suihua Branch of Heilongjiang Academy of Agricultural Sciences,Suihua 152052,Heilongjiang,China;College of Life Science and Engineering,Shenyang University,Shenyang 110044,Liaoning,China;The Innovative Academy for Seed Design,Chinese Academy of Sciences,Beijing 100101,China
RNAi-mediated suppression of the abscisic acid catabolism gene OsABA8ox1 increases abscisic acid content and tolerance to saline-alkaline stress in rice(Oryza sativa L.)
Xiaolong Liu;Xianzhi Xie;Chongke Zheng;Lixing Wei;Xiaowei Li;Yangyang Jin;Guohui Zhang;Chang-Jie Jiang;Zhengwei Liang-Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,Jilin,China;College of Life Science and Resources and Environment,Yichun University,Yichun 336000,Jiangxi,China;Shandong Rice Research Institute,Shandong Academy of Agricultural Sciences,Jinan 250100,Shandong,China;Dongying Academy of Agricultural Sciences,Dongying 257091,Shandong,China;College of Life Sciences,Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development,Jilin Agricultural University,Changchun 130118,Jilin,China;Da'an Sodic Land Experiment Station,Da'an 131317,Jilin,China;Institute of Agrobiological Sciences,NARO,Kannondai 2-1-2,Tsukuba 305-8602,Japan
Transcriptome changes in seeds during coleorhiza hair formation in rice
Tao Song;A.N.M.Rubaiyath Bin Rahman;Debatosh Das;Neng-Hui Ye;Feng Yang;Fu-Yuan Zhu;Mo-Xian Chen;Jian-Hua Zhang-Co-Innovation Center for Sustainable Forestry in Southern China,College of Biology and the Environment,Nanjing Forestry University,Nanjing 210037,Jiangsu,China;Shenzhen Research Institute,The Chinese University of Hong Kong,Shenzhen 518057,Guangdong,China;Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China,College of Agriculture,Hunan Agricultural University,Changsha 410128,Hunan,China;Department of Biology,Hong Kong Baptist University,Kowloon 999077,Hong Kong,China;CAS Key Laboratory of Quantitative Engineering Biology,Shenzhen Institute of Synthetic Biology,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,Guangdong,China;School of Life Sciences and State Key Laboratory of Agrobiotechnology,The Chinese University of Hong Kong,Shatin 999077,Hong Kong,China
Genomic prediction using composite training sets is an effective method for exploiting germplasm conserved in rice gene banks
Sang He;Hongyan Liu;Junhui Zhan;Yun Meng;Yamei Wang;Feng Wang;Guoyou Ye-CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement,Agricultural Genomics Institute in Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen 518120,Guangdong,China;Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource,College of Tropical Crops,Hainan University,Haikou 570228,Hainan,China;Guangdong Provincial Key Laboratory of New Technology in Rice Breeding,Rice Research Institute,Guangdong Academy of Agricultural Sciences,Guangzhou 510640,Guangdong,China;Rice Breeding Innovations Platform,International Rice Research Institute,DAPO Box 7777,Metro Manila,Philippines
Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
Zhi-Yuan Wei;Jun-Hua Rao;Ming-Tian Tang;Guo-An Zhao;Qi-Chun Li;Li-Ming Wu;Shao-Qiang Liu;Bi-Hai Li;Bai-Quan Xiao;Xing-Yin Liu;Jian-Huan Chen-Guangdong Key Laboratory of Animal Conservation and Resource Utilization,Guangdong Public Laboratory of Wild Animal Conservation and Utilization,Institute of Zoology,Guangdong Academy of Sciences,Guangzhou 510260,China;Laboratory of Genomic and Precision Medicine,Wuxi School of Medicine,Jiangnan University,Wuxi 214122,China;Joint Primate Research Center for Chronic Diseases,Jiangnan University and Institute of Zoology,Guangdong Academy of Sciences,Wuxi School of Medicine,Jiangnan University,Wuxi 214122,China;Department of Pathogen-Microbiology Division,Nanjing Medical University,Nanjing 211166,China
Ground-Based Hyperspectral Stereoscopic Remote Sensing Network:A Promising Strategy to Learn Coordinated Control of O3 and PM2.5 over China
Cheng Liu;Chengzhi Xing;Qihou Hu;Qihua Li;Haoran Liu;Qianqian Hong;Wei Tan;Xiangguang Ji;Hua Lin;Chuan Lu;Jinan Lin;Hanyang Liu;Shaocong Wei;Jian Chen;Kunpeng Yang;Shuntian Wang;Ting Liu;Yujia Chen-Department of Precision Machinery and Precision Instrumentation,University of Science and Technology of China,Hefei 230026,China;Centerfor Excellence in Regional Atmospheric Environment,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021,China;Key Lab of Environmental Optics and Technology,Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China;Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes,University of Science and Technology of China,Hefei 230026,China;Anhui Province Key Laboratory of Polar Environment and Global Change,University of Science and Technology of China,Hefei 230026,China;Institute of Physical Science and Information Technology,Anhui University,Hefei 230601,China;School of Environment and Civil Engineering,Jiangnan University,Wuxi 214122,China;School of Environmental Science and Optoelectronic Technology,University of Science and Technology of China,Hefei 230026,China;School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。