Zinc finger protein STOP1 is critical for proton tolerance in <i>Arabidopsis</i> and coregulates a key gene in aluminum tolerance

Satoshi Iuchi, Hiroyuki Koyama, Atsuko Iuchi, +7

Proceedings of the National Academy of Sciences

GeneticsMolecular BiologyZinc Finger ProteinsMolecular GeneticsZinc Finger Domain +16

STOP1 Regulates Multiple Genes That Protect Arabidopsis from Proton and Aluminum Toxicities      

Yoshiharu Sawaki, Satoshi Iuchi, Yasufumi Kobayashi, +8

PLANT PHYSIOLOGY

A natural variant of NAL1, selected in high-yield rice breeding programs, pleiotropically increases photosynthesis rate

Toshiyuki Takai, Shunsuke Adachi, Fumio Taguchi-‍Shiobara, +19

Scientific Reports

Comparative transcriptomic characterization of aluminum, sodium chloride, cadmium and copper rhizotoxicities in Arabidopsis thaliana

Cheng‐Ri Zhao, Takashi Ikka, Yoshiharu Sawaki, +7

BMC Plant Biology

Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance

Rei Sonobe, Hiroto Yamashita, Harumi Mihara, +2

Remote Sensing

Environmental MonitoringEngineeringBotanyAgricultural EconomicsWasabi Production +15

Characterization of <i>AtSTOP1</i> Orthologous Genes in Tobacco and Other Plant Species  

Yoshinao Ohyama, Hiroki Ito, Yuriko Kobayashi, +9

PLANT PHYSIOLOGY

Genetic mechanisms underlying yield potential in the rice high-yielding cultivar Takanari, based on reciprocal chromosome segment substitution lines

Toshiyuki Takai, Takashi Ikka, Katsuhiko Kondo, +8

BMC Plant Biology

The Source of “Fairy Rings”: 2‐Azahypoxanthine and its Metabolite Found in a Novel Purine Metabolic Pathway in Plants

Jae‐Hoon Choi, Toshiyuki Ohnishi, Yasuhiro Yamakawa, +19

Angewandte Chemie International Edition

Tea plant (<i>Camellia sinensis</i>L.) roots secrete oxalic acid and caffeine into medium containing aluminum

Akio Morita, Osamu Yanagisawa, Setsuko Maeda, +2

Soil Science & Plant Nutrition

BotanyTea PlantOxidative StressPhysiological Plant PathologyRoot Growth +14

Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms

Hiroto Yamashita, Rei Sonobe, Yuhei Hirono, +2

Scientific Reports