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    Home > Biochemistry News > Biotechnology News > The South China Botanical Garden used ecogenomics methods to predict the response of forest tree species to climate change

    The South China Botanical Garden used ecogenomics methods to predict the response of forest tree species to climate change

    • Last Update: 2023-02-01
    • Source: Internet
    • Author: User
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    Rapid global climate change is one of
    the serious threats to biodiversity.
    Forest tree species play an important role
    in maintaining ecosystem stability and improving ecosystem services.
    Understanding the response of forest tree species to climate change is the key to
    exploring forest resources suitable for planting under future climatic conditions, implementing the principle of afforestation suitable for trees in the right place, and achieving optimal forest resource management and sustainable development.
    However, for forest tree species with long generations and complex genetic backgrounds, it is very difficult
    to explore the response of species to climate change through traditional experimental methods such as homogeneous gardens and cross-transplantation.

    Wang Baosheng's research group of researcher Wang Baosheng of the South China Botanical Garden of the Chinese Academy of Sciences took Quercus acutissima, a species of quercus in China, which is widely distributed in China, as the research object, based on population genetics and ecological genomics theory, through genetics Ecological factor modelling methods explore the resilience
    of the species to future climatic conditions.
    Based on genome-wide resequencing data, this study revealed the population structure and differentiation history of Quercus hempensis, confirming that population history and linkage selection jointly shape the genomic landscape of heterogeneity (Figure
    1).
    A
    series of functional genes related to environmental adaptation were identified by genetic-environmental association analysis, indicating that polygenic selection was an important mechanism for the adaptive evolution of Quercus hemp species.
    Further generalized
    dissimilarity modelling based on the fitting analysis between differences in ecological factors and genetic components quantified the genetic bias
    required by the hemp oak population to cope with climate change.
    The study found that marginalized groups face a higher risk of local extinction and may not be able to find new habitats by migration in the environment in the future; The future climatic conditions in northern China are difficult to adapt to the survival of the hemp oak (Figure
    2).

    This study reveals the mechanism by which complex evolutionary processes shape heterogeneous genomic landscape variation, and provides a view of the potential of Quercus hemp to future environmental adaptation at the genomic level, providing a theoretical basis
    for genetic diversity conservation and forest resource management.
    The relevant research results were published
    in the international journal molecular ecology (molecular ecology) in the mainstream international journal of evolutionary biology under the title "Genomic vulnerability to climate change in Quercus acutissima, a dominant tree species in East Asian deciduous forests" Molecular ecology), Assistant Researcher Yuan Shuai of the Plant Science Center of South China Botanical Garden is the first author of the paper, and researcher Wang Baosheng is the corresponding author
    .
    The research was supported
    by the National Natural Science Foundation of China, the Guangdong Outstanding Youth Fund, and the Guangzhou Science and Technology Project.
    For more information, see:
    https://doi.
    org/10.
    1111/mec.
    16843

    Figure 1.
    Geographical distribution, population structure, and patterns of genomic variation in Quercus hemp
    .

    Figure 2.
    The GDM model simulates the distribution
    of local genetic shifts (a, b, c), forward genetic shifts (d, e, f) and reverse genetic shifts (g, h, i) of Quercus hemp.

     

     

     

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