IDEAS home Printed from https://ideas.repec.org/a/caa/jnlcjg/vpreprintid133-2025-cjgpb.html

Genetic diversity of selected Malaysian rice accessions using microsatellite markers

Author

Listed:
  • Shahril Ab Razak
  • Alny Marlynni Abd Majid

    (Agri-omic and Bioinformatic Programme, Biotechnology & Nanotechnology Research Centre, MARDI Headquarters, Serdang, Malaysia)

  • Rahiniza Kamaruzaman

    (Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia)

  • Norliza Abu Bakar

    (Agri-omic and Bioinformatic Programme, Biotechnology & Nanotechnology Research Centre, MARDI Headquarters, Serdang, Malaysia)

  • Rabiatul Adawiah Zainal Abidin

    (Agri-omic and Bioinformatic Programme, Biotechnology & Nanotechnology Research Centre, MARDI Headquarters, Serdang, Malaysia)

  • Yun Shin Sew

    (Agri-omic and Bioinformatic Programme, Biotechnology & Nanotechnology Research Centre, MARDI Headquarters, Serdang, Malaysia)

  • Norfarhan Mohd-Assaad

    (Department of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
    Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Malaysia)

  • Asmuni Mohd Ikmal

    (Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia)

  • Noraziyah Abd Aziz Shamsudin

    (Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia)

Abstract

Genetic diversity of plant genetic resources provides the foundation for breeding programmes aimed at developing high-yielding rice varieties with tolerance to biotic and abiotic stresses. Given the abundance of available genetic resources, efficient approaches for their characterisation are essential. In this study, 182 Malaysian rice accessions representing different maturity groups were characterised using 20 polymorphic simple sequence repeat (SSR) markers. The analysis identified 183 alleles, ranging from two (RM507) to 22 (RM154), with an average of 9.15 alleles per locus. Observed and expected heterozygosity ranged from 0.000 to 0.506 and 0.319 to 0.864, respectively. Polymorphism information content (PIC) values ranged from 0.2744 (RM495) to 0.8475 (RM154), with an average of 0.6216 per locus. Unweighted pair group method with arithmetic mean (UPGMA) analysis revealed two major groups. In general, the accessions were clustered according to their adaptive ecosystem type, with most lowland varieties, including lowland breeding lines (92.4%), assigned to Group I, whereas most upland varieties (86.7%) belonged to Group II. This grouping pattern was supported by STRUCTURE analysis, which identified K = 2 as the optimal number of clusters, indicating that the studied accessions were structured into two major genetic groups. Principal coordinate analysis (PCoA) further supported this grouping pattern, with the first three axes explaining 39.63% of the total variation. Analysis of molecular variance (AMOVA) showed that 31% of the total variation occurred among populations, 63% among accessions, and 6% within accessions. The results also indicated the possible presence of duplicate accessions within the collection. This study provides valuable insights for future breeding programmes aimed at developing high-yielding rice varieties with a broad genetic base and supports the effective management and conservation of rice genetic resources.

Suggested Citation

  • Shahril Ab Razak & Alny Marlynni Abd Majid & Rahiniza Kamaruzaman & Norliza Abu Bakar & Rabiatul Adawiah Zainal Abidin & Yun Shin Sew & Norfarhan Mohd-Assaad & Asmuni Mohd Ikmal & Noraziyah Abd Aziz S, . "Genetic diversity of selected Malaysian rice accessions using microsatellite markers," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 0.
  • Handle: RePEc:caa:jnlcjg:v:preprint:id:133-2025-cjgpb
    DOI: 10.17221/133/2025-CJGPB
    as

    Download full text from publisher

    File URL: http://cjgpb.agriculturejournals.cz/doi/10.17221/133/2025-CJGPB.html
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/133/2025-CJGPB?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlcjg:v:preprint:id:133-2025-cjgpb. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.