Top
Publication
  • Miyoshi Y., Soma F., Yin Y.-G., Suzui N., Noda Y., Enomoto K., Nagao Y., Yamaguchi M., Kawachi N., Yoshida E., Tashima H., Yamaya T., Kuya N., Teramoto S., Uga Y. (in press) Rice immediately adapts the dynamics of photosynthates translocation to roots in response to changes in soil water environment. Frontiers in Plant Science.
  • Teramoto S., Uga Y. (2022) Four-dimensional measurement of root system development using time-series three-dimensional volumetric data analysis by backward prediction. Plant Methods 18:133. doi:10.1186/s13007-022-00968-x
    RSAtrace4D (Program): Github
  • Teramoto S., Uga Y. (2022) Improving the efficiency of plant root system phenotyping through digitization and automation. Breeding Science. doi:10.1270/jsbbs.21053
  • Teramoto S., Yamasaki M., Uga Y. (2022) Identification of a unique allele in the quantitative trait locus for crown root number in japonica rice from Japan using genome-wide association studies. Breeding Science 72: 222-231. doi:10.1270/jsbbs.22010
  • Tei M., Barbieri E., Soma F., Uga Y., Kawahito Y. (2022) Agritech imaging of underground plant root growth using a distributed fiber optic sensor. Proceeding of SPIE, 11953: 119530I-1. doi.10.1117/12.2606308
  • Miyoshi Y., Nagao Y., Yamaguchi M., Suzui N., Yin Y.-G., Kawachi N., Yoshida E., Takyu S., Tashima H., Yamaya T., Kuya N., Teramoto S., Uga Y. (2021) Plant root PET: visualization of photosynthate translocation to roots in rice plant. Journal of Instrumentation, 16: C12018. doi:10.1088/1748-0221/16/12/C12018
  • Teramoto S., Tanabata T., Uga Y. (2021) RSAtrace3D: robust vectorization software for measuring monocot root system architecture. BMC Plant Biology, 21:398. doi:10.1186/s12870-021-03161-9
    RSAtrace3D (Program): Github
  • Numajiri Y., Yoshino K., Teramoto S., Hayashi A., Nishijima R., Tanaka T., Hayashi T., Kawakatsu T., Tanabata T., Uga Y. (2021) iPOTs: Internet of Things-based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress. The Plant Journal, doi:10.1111/tpj.15400
  • Kawakatsu T, Teramoto S, Takayasu S, Maruyama N, Nishijima R, Kitomi Y, Uga Y. (2021) The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions. The Plant Journal, 106: 1177-1190. doi:10.1111/tpj.15226
  • Uga Y. (2021) Challenges to design-oriented breeding of root system architecture adapted to climate change. Breeding Science. doi:10.1270/jsbbs.20118
  • Teramoto S., Uga Y. (2020) A deep learning-based phenotypic analysis of rice root distribution from field images. Plant Phenomics, Article ID 3194308. doi:10.34133/2020/3194308
    TrenchRoot-SEG: A deep learning-based phenotypic analysis tool for trench profile images (Program): Github
    Supplementary file: Model data (125,685,600 bytes)
  • Kitomi Y., Hanzawa E., Kuya N., Inoue H., Hara N., Kawai S., Kanno N., Endo M., Sugimoto K., Yamazaki T., Sakamoto S., Sentoku N., Wu J., Kanno H., Mitsuda N., Toriyama K., Sato T., Uga Y. (2020) Root angle modifications by the DRO1 homolog improve rice yields in saline paddy fields. PNAS, 117: 21242-21250. doi:10.1073/pnas.2005911117
  • Teramoto S., Takayasu S., Kitomi Y., Arai‐Sanoh Y., Tanabata T., Uga Y. (2020) High‐throughput three‐dimensional visualization of root system architecture of rice using X‐ray computed tomography. Plant Methods, 16: 66. doi:10.1186/s13007-020-00612-6
    RSAvis3D: An robust and rapid image processing for root segmentation from X-ray CT images (Program): Github
    Supplementary file: Compressed CT image file (zipped file: 21,665,062,505 bytes)
  • Yoshino K, Nishijima R, Kawakatsu T. (2020) Low-cost RNA extraction method for highly scalable transcriptome studies. Breeding Science, 70: 481-486. doi:10.1270/jsbbs.19170
  • Tanaka T., Nishijima R., Teramoto S., Kitomi Y., Hayashi T., Uga Y., Kawakatsu T. (2020) De novo genome assembly of the indica rice variety IR64 using linked-read sequencing and Nanopore sequencing. G3-Genes Genomes Genetics, 10: 1495-1501. doi:10.1534/g3.119.400871
  • Teramoto S., Kitomi Y., Nishijima R., Takayasu S., Maruyama N., Uga Y. (2019) Backhoe-assisted monolith method for plant root phenotyping under upland conditions. Breeding Science, 69: 508-513. doi:10.1270/jsbbs.19019
  • Yoshino K., Numajiri Y., Teramoto S., Kawachi N., Tanabata T., Tanaka T., Hayashi T., Kawakatsu T., Uga Y. (2019) Towards a deeper integrated multi-omics approach in the root system to develop climate-resilient rice. Molecular Breeding 39:165. doi:10.1007/s11032-019-1058-4
  • Kitomi Y., Itoh J., Uga Y. "Genetic mechanisms involved in the formation of root system architecture". In Rice Genomics, Genetics and Breeding (eds. T. Sasaki, M. Ashikari): 241-274, 2018.
Invited talk
  • Uga Y. Towards the root design for the development of climate-resilient crops. 7th International Symposium on Genomics and Crop Genetic Improvement, On line (China), Nov/30/2022.
  • Uga Y. Plant root phenotyping: towards the root design for the development of climate-resilient crops. 8th Plant Genomics & Gene Editing Congress, Kuala Lumpur, Malaysia, Nov/16/2022.
  • Uga Y. Root Design: Towards the development of climate-resilient crops. workshop workshop "Plant Response to Stresses and Environmental Signals", Online (China), July/29/2022.
  • Uga Y. Toward a design oriented breeding of root system architecture adapted to climate change. Online business-scientific and matchmaking event "Microorganisms: sources of value, from soil to food", Oct/5/2021.
  • 宇賀優作. 気候変動に頑健な作物開発をめざしたオミクス解析プラットホームの開発. 令和3年度農業・工学原材料生産と光技術研究会. Online. Sep/28/2021.
  • Uga Y. Towards designed genetic improvement of root system architecture for developing of climate-resilient rice. 10th Asian Crop Science Association Conference, Online. Sep/10/2021.
  • Uga Y. Challenges to design-oriented breeding of root system architecture adapted to abiotic stress. 11th Symposium of the International Society of Root Research and Rooting 2021. Online. May/27/2021.
  • 宇賀優作. X線CTと栽培制御ユニットを用いた干ばつ下の植物根系の非破壊3D計測技術の開発. 理研CSRSインフォマティクス・データ科学推進プログラム成果報告会, Mar/8/2021.
  • Uga Y. Towards designed genetic improvement of root system for developing of climate-resilient crop. Training Course on Next generation genomics for developing climate resilient crops at ICRISAT. Hyderabad, India. Feb/14/2020.
  • 川勝泰二. イネENCODE:データ駆動型アプローチによる遺伝子発現制御機構の全容解明に向けて. 植物科学シンポジウム2019. 東京大学. Dec/11/2019.
  • 宇賀優作. ROOTomics:環境レジリエント作物の開発をめざしたオミクス解析プラットホームの開発. 第42回日本分子生物学会年会. 福岡. Dec/5/2019.
  • 宇賀優作. 干ばつ耐性向上をめざした稲の根系改良の試みと今後の展望. 日本熱帯農業学会第126回講演会公開シンポジウム. 宮古島. Nov/23/2019.
  • Uga Y. Desired control of root system architecture to develop climate-resilient rice. 6th International Symposium on Genomics and Crop Genetic Improvement - Molecular Breeding. Wuhan, China. Oct/21/2019.
  • 宇賀優作. ROOTomics: Towards a deeper integrated multi-omics approach in the root system to develop climate-resilient rice. イネ遺伝学・分子生物学ワークショップ2019. 農研機構. JUL/11/2019.
  • Uga Y. Towards genetic improvement of root system architecture for developing of climate-resilient rice. 2019 KSBS & SABRAO International Conference. Gwangju, Korea. JUL/5/2019.
  • 宇賀優作. 地面の中を見える化することで、作物開発の常識を変える. アグリゲノム産業研究会 (Digital Breeding セミナー). 東京. Mar/18/2019.
  • Uga Y. Towards cloning and application of QTLs associated with steeper and longer root systems to develop climate-resilient rice. International Plant & Animal Genome XXVII. San Diego, USA. Jan/14/2019.
  • 宇賀優作. ROOTomicsが創造する環境レジリエント作物とは?.植物科学シンポジウム2018. 東京大学. Dec/12/2018.
  • 七夕高也. 植物の成長を見る・撮る・測る. ViEW2018 ビジョン技術の実利用ワークショップ. パシフィコ横浜. Dec/7/2018.
  • Uga Y. Challenges in desired genetic control of root system architecture for producing climate-resilient rice. 16th International Symposium of Rice Functional Genomics. Tokyo University of Agriculture. Sep/05/2018.
  • Uga Y. Does genetic control of root system architecture allow us to develop climate-resilient rice?. Special seminar. Huazhong Agricultural University, Wuhan, China. Aug/24/2018.
  • Uga Y. Genetic improvement of root system architecture for developing of climate-resilient rice. Plant Genomics in China XIX. Chengdu, China. Aug/22/2018.
  • Uga Y. Development of climate-resilient rice using QTLs for root system architecture. 4th International Conference "Plant Genetics & Breeding Technologies". Vienna, Austria. Jul/12/2018.
  • Uga Y. Molecular breeding of root system architecture improves rice yield performance under deficiencies of water and nitrogen. XIII International Rice Conference for Latin America and The Caribbean. Piura, Peru. Mar/16/2018.
  • Uga Y. Application of unique alleles in QTLs controlling root system architecture improves rice productivity under abiotic stresses. Plant & Crop Science Research Seminar. University of Nottingham, Nottingham, UK. Jan/23/2018.
  • Uga Y. Gene cloning of root system architecture to enhance rice yield under abiotic stress conditions. IRRI's seminar. International Rice Research Institute, Los Banos, Philippines. Nov/29/2017.
  • Uga Y. How to quantify the hidden roots under the ground to improve root system architecture?. 2017 JST International Workshop on Field Phenotyping and Modeling for Cultivation, Fukuracia Tokyo Station. Dec/08/2017.
  • 宇賀優作. 先進のゲノミクスとフェノミクスは発展途上国の育種を変えるか?. 育種学会第132回講演会. 岩手大学. Oct/07/2017.