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Fe-driven ROS mitigation in Leptolyngbya JSC-1: optimizing growth using response surface method.

Sikandar Khan1,2, Maryam Akhoundian3, Pengcheng Fu4

  • 1State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China. sikandar@sbbu.edu.pk.

Extremophiles : Life Under Extreme Conditions
|April 17, 2026
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Summary
This summary is machine-generated.

This study optimized growth conditions for Leptolyngbya JSC-1, a thermophilic cyanobacterium. Response surface methodology identified optimal temperature, iron concentration, and light intensity, minimizing reactive oxygen species generation.

Keywords:
JSC-1LeptolyngbyaOptimizationRSMSiderophilic

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Area of Science:

  • Microbiology
  • Biotechnology
  • Environmental Science

Background:

  • Leptolyngbya JSC-1 is a thermophilic and siderophilic cyanobacterium found in iron-rich hot springs.
  • Optimizing growth conditions for extremophilic microorganisms is crucial for biotechnological applications.
  • Previous studies have not utilized Response Surface Methodology (RSM) for Leptolyngbya JSC-1.

Purpose of the Study:

  • To optimize the growth conditions for the thermophilic and siderophilic cyanobacterium Leptolyngbya JSC-1.
  • To apply Response Surface Methodology (RSM) for the first time to this organism.
  • To investigate the relationship between iron concentration and reactive oxygen species (ROS) generation.

Main Methods:

  • Employed a Box-Behnken design for Response Surface Methodology (RSM).
  • Optimized three key factors: temperature (A), iron concentration (B), and light intensity (C).
  • Utilized optical density at 730 nm (OD730) as the primary response variable.

Main Results:

  • Determined optimal conditions: 45°C, 42 µM Fe concentration, and 2000 lx light intensity.
  • A quadratic model with significant terms (B, AB, A², B², C²) explained 93.9% of the variation (R²=0.939).
  • Observed an inverse relationship between iron concentration and ROS generation, with minimal ROS at 42 µM Fe.

Conclusions:

  • RSM is effective for multifactorial optimization of cyanobacterial growth conditions.
  • The determined optimal conditions support robust growth of Leptolyngbya JSC-1.
  • Lowered ROS generation at optimal iron concentration suggests enhanced cellular stability.