echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Active Ingredient News > Antitumor Therapy > Nature's heavyweight: Challenge evolution theory, DNA mutation is not random

    Nature's heavyweight: Challenge evolution theory, DNA mutation is not random

    • Last Update: 2022-01-23
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com

    We know that DNA is damaged all the time.
    When DNA is damaged and cannot be repaired properly, mutations occur, resulting in new mutations
    .


    Since the first half of the 20th century, evolution has been dominated by the idea that DNA mutations occur randomly in the genome


    DNA mutations occur randomly in the genome DNA mutations occur randomly in the genome

    "We've always assumed that mutations are basically random in the genome," said Gray Monroe, lead author of the paper and assistant professor in the UC Davis Department of Plant Sciences
    .


    "It turns out that mutation is very non-random, and it's beneficial to plants in some way


    On January 12, 2022, researchers from the Max Planck Institute for Developmental Biology in Germany, the University of California, Davis and other institutions published a paper entitled: Mutation bias reflects natural selection in Arabidopsis thaliana in the top international academic journal Nature.
    research paper
    .

    The study found that mutations in DNA are not random, and in some important regions of the genome, the frequency of DNA mutations is significantly reduced
    .


    This changes our understanding of evolution, and the findings may help scientists develop better crops and even help humans fight cancer


    NA mutations are not random NA mutations are not random Help humans fight cancer Help humans fight cancer

    To explore whether the DNA mutations are random or have deeper mechanisms, the research team spent three years sequencing the DNA of hundreds of Arabidopsis species
    .


    Arabidopsis thaliana is a model organism for studying genetics, like a guinea pig in plant research


    The research team grew Arabidopsis specimens in a protected laboratory setting, allowing defective Arabidopsis thaliana that might not survive in nature to survive in a controlled environment
    .


    Sequencing hundreds of Arabidopsis species uncovered more than a million mutations, revealing a nonrandom mutational pattern among them


    It was previously theorized that initial mutations are completely random, and that natural selection determines which mutations can be observed in an organism
    .


    But the new study found that these mutations were not random, and that the frequency of genetic mutations was lower in those important regions


    Using independent genomic mutation databases, including the largest Arabidopsis mutation accumulation experiment conducted to date, the research team demonstrated that epigenomic and physical features explain 90% of this genome-wide mutational bias of varying frequencies of mutations in different regions
    .


    The team believes that epigenome-related mutational bias reduces the occurrence of deleterious mutations


    These findings add a surprising twist to Darwin's theory of evolution by natural selection, showing that DNA mutations in evolution are not random or directionless
    .

    Detlef Weigel, corresponding author of the paper, said the finding that plants have evolved a way to protect the most important regions of their genomes from mutation is exciting because we can also use these findings to study how to protect human genes from subject to mutation
    .

    Additionally, understanding why certain regions of the genome are more mutated than others could help breeding researchers who rely on genetic variation create better crops
    .


    Scientists can also use this information to better predict or develop new treatments for diseases such as cancer caused by DNA mutations


    In conclusion, the team says these findings provide a more complete picture of the forces driving natural patterns of variation, challenge long-standing theories about mutational randomness, and provide future directions for theoretical and practical research on mutation in biology and evolution
    .

    A more complete account of the forces driving natural patterns of variation challenges long-standing theories about the randomness of mutation and provides future directions for theoretical and practical research on biological and evolutionary mutation A more complete account of the forces driving natural patterns of variation , challenging long-standing theories about mutational randomness and providing future directions for theoretical and practical research on mutation in biology and evolution

    Original source:

    Original source:

    Monroe, JG, Srikant, T.
    , Carbonell-Bejerano, P.
    et al.
    Mutation bias reflects natural selection in Arabidopsis thaliana .
    Nature (2022).
    https://doi.
    org/10.
    1038/s41586-021-04269-6.

    Mutation bias reflects natural selection in Arabidopsis thalianaLeave a comment here
    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.