Background <p>Actinomycetes are a microbial group with important development prospects because of their antibacterial, anti-tumor, enzyme inhibition, immunosuppressive regulation, and other biological activities. This study aimed to analyze the genetic diversity and relationship among antagonistic actinomycetes isolated from tobacco rhizosphere soil using inter simple sequence repeat (ISSR) markers.</p> Methods <p>A total of 29 actinomycetes strains exhibiting antagonistic effects against <i>Phytophthora parasitica</i> were isolated from tobacco rhizosphere soil in the Luoyang area of China. Thirty-five ISSR primers were initially screened, and 11 highly polymorphic and stable primers were selected for PCR amplification. Genetic similarity coefficients were calculated using the Nei and Li method, and cluster analysis was performed using the unweighted pair group method with arithmetic mean (UPGMA).</p> Results <p>The 11 selected primers amplified a total of 174 polymorphic bands, with a polymorphism rate of 100% and an average of 15.8 bands per primer. The genetic similarity coefficients among the 29 strains ranged from 0.219 to 0.747, indicating high genetic diversity. At a similarity coefficient of 0.440, the strains were classified into eight clusters (IGI–IGVIII). Notably, all 11 strains showing 100% antagonistic activity against <i>P. parasitica</i> were grouped into the IGI cluster, suggesting a close genetic relationship among highly antagonistic strains. Most strains belonging to the same species were clustered together in the same group or subgroup, demonstrating a correlation between ISSR markers and taxonomic classification.</p> Conclusion <p>The 29 antagonistic actinomycetes exhibited rich genetic diversity, and strains with strong antagonistic activity against <i>P. parasitica</i> were genetically closely related. ISSR markers proved to be effective for analyzing genetic relationships among antagonistic actinomycetes and may provide a valuable reference for molecular classification and biocontrol agent development.</p>

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Genetic differences and similarity analysis of 29 antagonistic actinomycetes using inter simple sequence repeat (ISSR) markers

  • Mengyu Zhang,
  • Linkai Cui,
  • Yebin Kang

摘要

Background

Actinomycetes are a microbial group with important development prospects because of their antibacterial, anti-tumor, enzyme inhibition, immunosuppressive regulation, and other biological activities. This study aimed to analyze the genetic diversity and relationship among antagonistic actinomycetes isolated from tobacco rhizosphere soil using inter simple sequence repeat (ISSR) markers.

Methods

A total of 29 actinomycetes strains exhibiting antagonistic effects against Phytophthora parasitica were isolated from tobacco rhizosphere soil in the Luoyang area of China. Thirty-five ISSR primers were initially screened, and 11 highly polymorphic and stable primers were selected for PCR amplification. Genetic similarity coefficients were calculated using the Nei and Li method, and cluster analysis was performed using the unweighted pair group method with arithmetic mean (UPGMA).

Results

The 11 selected primers amplified a total of 174 polymorphic bands, with a polymorphism rate of 100% and an average of 15.8 bands per primer. The genetic similarity coefficients among the 29 strains ranged from 0.219 to 0.747, indicating high genetic diversity. At a similarity coefficient of 0.440, the strains were classified into eight clusters (IGI–IGVIII). Notably, all 11 strains showing 100% antagonistic activity against P. parasitica were grouped into the IGI cluster, suggesting a close genetic relationship among highly antagonistic strains. Most strains belonging to the same species were clustered together in the same group or subgroup, demonstrating a correlation between ISSR markers and taxonomic classification.

Conclusion

The 29 antagonistic actinomycetes exhibited rich genetic diversity, and strains with strong antagonistic activity against P. parasitica were genetically closely related. ISSR markers proved to be effective for analyzing genetic relationships among antagonistic actinomycetes and may provide a valuable reference for molecular classification and biocontrol agent development.