The 33rd International Conference on Arabidopsis Research (ICAR2023)

講演情報

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Concurrent

Concurrent » Concurrent 13-18

[Concurrent 15] Arabidopsis relatives from laboratories to natural fields

The phenotype of wild-type and mutants in natural fields is often distinct from that in regulated laboratory conditions. Recently, Arabidopsis and its relatives are emerging as model systems to understand gene function in naturally fluctuating environments, which is coined in natura. The workshop will welcome researchers from diverse disciplines including long-term regular monitoring of gene expression, epigenome and phenome in natura, predicting plant responses to global climate changes, ecological networks of diverse herbivores and pathogens, laboratory experiments capturing natural complexity such as the food web.

2023年6月7日(水) 09:00 〜 10:30 Makuhari Messe 2F(Room 3)

Chair:Kentaro K. Shimizu(University of Zurich), Hiroshi Kudoh(Kyoto University)

10:15 〜 10:26

[Concurrent_15-05] 【Short Talk】Time-series field phenotyping system PlantServation using machine learning revealed seasonal pigment fluctuation trends in diploid and polyploid Arabidopsis

[on-site]

*Toshiaki Tameshige1,2, Reiko Akiyama3, Takao Goto4, Jiro Sugisaka5,1, Ken Kuroki6, Jianqiang Sun7, Junichi Akita8, Masaomi Hatakeyama3,9, Hiroshi Kudoh5, Tanaka Kenta10, Aya Tonouchi4, Yuki Shimahara4, Jun Sese11,12,13, Natsumaro Kutsuna4, Rie Shimizu-Inatsugi3, Kentaro K Shimizu1,3 (1. Yokohama City University, Japan, 2. Nara Institute of Science and Technology, Japan, 3. University of Zurich, Switzerland, 4. LPixel Inc., Japan, 5. Kyoto University, Japan, 6. The University of Tokyo, Japan, 7. NARO, Japan, 8. Kanazawa University, Japan, 9. Functional Genomics Center Zurich, Switzerland , 10. University of Tsukuba, Japan, 11. AIST, Japan , 12. Humanome Lab, Inc., Japan, 13. AIST-Tokyo Tech RWBC-OIL, Japan)

キーワード：Abiotic response, Imaging/quantification, Evolution, Database/software/bioinformatics