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    Home > Biochemistry News > Biotechnology News > Cyanobacteria adapt to environmental lighting conditions through the "chameleon" gene.

    Cyanobacteria adapt to environmental lighting conditions through the "chameleon" gene.

    • Last Update: 2020-08-11
    • Source: Internet
    • Author: User
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    February 25th, an international team of researchers recently discovered that cyanobacteria, the cornerstone of the marine ecosystem, have a "chameleon" characteristic that regulates the pigment in the body according to the light conditions in the environment and makes better use of solar energy.
    cyanobacteria is not algae, but a class of single-celled pronuclear organisms that can photosynthesis, also known as cyanobacteria.
    cyanobacteria is one of the oldest and most widely distributed organisms on Earth and is the first link in the marine food chain.
    cyanobacteria has a variety of pigments involved in photosynthesis.
    to study the relationship between pigment types and geographical distribution, researchers at the University of Warwick and other institutions in the United Kingdom conducted detailed analyses of cyanobacteria samples from various waters around the world.
    these samples belong to the representative group of cyanobacteria, polyball, collected by the French Tara Marine Science Team.
    analysis shows that the adaptation of environmental lighting conditions is the main factor affecting the distribution of polysphere pigment type, which is achieved by a number of "chameleon" genes.
    in open areas where blue light is abundant, the pigment is particularly rich in color absorption of blue light, in warm equatorial waters and coasts, the pigment type is suitable for the dominant green light in the absorption environment, and in the red-lighted estuary, the pigment type is more suitable for red light.
    papers were published in the Proceedings of the National Academy of Sciences.
    researchers say the results deepen understanding of the biological mechanisms of cyanobacteria and help predict the effects of climate change on marine ecosystems.
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