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MitoTALENs Enable More Understanding of Plant Mitochondrial Genomes - Vimarsana News

MitoTALENs Enable More Understanding of Plant Mitochondrial Genomes

MitoTALENs Enable More Understanding of Plant Mitochondrial Genomes February 24, 2021 Researchers have elucidated some undefined mechanisms and characteristics of flowering plants using mitochondria-targeted transcription activator-like effector nucleases (mitoTALENs). The impact of mitoTALENs-directed double-strand breaks on plant mitochondrial genomes was compiled by Shin-ichi Arimura from the University of Tokyo in an article published in Genes. The mitochondrial genomes in flowering plants are different from those in animals and yeasts in various aspects, such as having large an...

Source: isaaa.org
Perceiving predators: Understanding how plants 'sense' herbivore attack - Vimarsana News

Perceiving predators: Understanding how plants 'sense' herbivore attack

 E-Mail IMAGE: Recently, Professor Gen-ichiro Arimura from Tokyo University of Science, Japan, encapsulated the research on the herbivory-sensing mechanism of plants through elicitors. Commenting of the immense value of these elicitors, Prof.... view more  Credit: Gen-ichiro Arimura, Tokyo University of Science Nature has its way of maintaining balance. This statement rightly holds true for plants that are eaten by herbivores--insects or even mammals. Interestingly, these plants do not just silently allow themselves to be consumed and destroyed; in fact, they have evolved a defense ...

Fujitsu and Hokkaido University Develop Explainable AI Technology Providing Users with Concrete Steps to Achieve Desired Outcomes - Vimarsana News

Fujitsu and Hokkaido University Develop Explainable AI Technology Providing Users with Concrete Steps to Achieve Desired Outcomes

(2) KAWASAKI, Japan, Feb 4, 2021 - (JCN Newswire) - Fujitsu Laboratories Ltd. and Hokkaido University today announced the development of a new technology based on the principle of "explainable AI" that automatically presents users with steps needed to achieve a desired outcome based on AI results about data, for example, from medical checkups. "Explainable AI" represents an area of increasing interest in the field of artificial intelligence and machine learning. While AI technologies can automatically make decisions from data, "explainable AI" also provides individual reasons for these decisi...