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IMAGE: The E. coli chromosome was split into three 1-Mb chromosomes, and the chromosome was used for genome implantation. view more
Credit: Rikkyo University
Escherichia coli (
E. coli) genome, consisting of 4.6 million base pairs of a single circular DNA, is too large to manipulate following the extraction and transfer to other bacteria.
In the present study, a group of Rikkyo University researchers led by Assistant Professor Takahito Mukai and Professor Masayuki Su etsugu has succeeded in splitting the E.coli genome into tripartite-genome of 1 million base pairs per genome (split-genome) using the smallest
E. coli genome strain established so far. In addition, they successfully extracted the split-genome from bacteria and installed it in other
New Laser Technique Shows Smog-Forming Effects of Nitrophenol in Air
Written by AZoOpticsFeb 4 2021
A new, sophisticated laser-based technique has enabled scientists to observe the live decomposition of a pollutant into atmospheric nitrous acid, which plays an essential role in the development of photochemical smog and ozone.
Extreme ultraviolet femtosecond pulse light source and photoelectron spectrometer, key instruments used in the experiment. Image Credit: Taro Sekikawa.
As explained by Hokkaido University scientists in
The Journal of Physical Chemistry Letters, the new technique could find an extensive range of applications.
Nitrophenols are a kind of fine particulate matter that occur in the atmosphere, developing due to forest fires and fossil fuel combustion. Scientists propose that light interacts with nitrophenols and disintegrates them into nitrous acid. It is well known that atmospheric nitrous acid produces the hydroxyl radicals that cause ozone formation.
Credit: Takashi Matsubara
A research group led by Associate Professor YAGUCHI Takaharu (Graduate School of System Informatics) and Associate Professor MATSUBARA Takashi (Graduate School of Engineering Science, Osaka University) have succeeded in developing technology to simulate phenomena for which the detailed mechanism or formula are unexplained. They did this by using artificial intelligence (AI) to create a model, which is faithful to the laws of physics, from observational data.
It is hoped that this development will make it possible to predict phenomena that have been difficult to simulate up until now because their detailed underlying mechanisms were unknown. It is also expected to increase the speed of the simulations themselves.
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