Cho, Dae-Hyun
(Cell Factory Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB))
,
Cho, Kichul
(Department of Genetic Resources Research, National Marine Biodiversity Institute of Korea)
,
Heo, Jina
(Cell Factory Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB))
,
Kim, Urim
(Cell Factory Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB))
,
Lee, Yong Jae
(Cell Factory Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB))
,
Choi, Dong-Yun
(Cell Factory Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB))
,
Yoo, Chan
(Department of Chemical and Biomolecular Engineering, KAIST)
,
Kim, Hee-Sik
(Cell Factory Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB))
,
Bae, Seunghee
(Research Institute for Molecular-Targeted Drugs, Department of Cosmetics Engineering, Konkuk University)
In a previous study, the sequential optimization and regulation of environmental parameters using the PhotoBiobox were demonstrated with high-throughput screening tests. In this study, we estimated changes in the biovolume-based composition of a polyculture built in vitro and composed of three algal...
In a previous study, the sequential optimization and regulation of environmental parameters using the PhotoBiobox were demonstrated with high-throughput screening tests. In this study, we estimated changes in the biovolume-based composition of a polyculture built in vitro and composed of three algal strains: Chlorella sp., Scenedesmus sp., and Parachlorella sp. We performed this work using the PhotoBiobox under different temperatures (10-36℃) and light intensities (50-700 μmol m-2 s-1) in air and in 5% CO2. In 5% CO2, Chlorella sp. exhibited better adaptation to high temperatures than in air conditions. Pearson's correlation analysis showed that the composition of Parachlorella sp. was highly related to temperature whereas Chlorella sp. and Scenedesmus sp. showed negative correlations in both air and 5% CO2. Furthermore, light intensity slightly affected the composition of Scenedesmus sp., whereas no significant effect was observed in other species. Based on these results, it is speculated that temperature is an important factor in influencing changes in algal polyculture community structure (PCS). These results further confirm that the PhotoBiobox is a convenient and available tool for performance of lab-scale experiments on PCS changes. The application of the PhotoBiobox in PCS studies will provide new insight into polyculture-based ecology.
In a previous study, the sequential optimization and regulation of environmental parameters using the PhotoBiobox were demonstrated with high-throughput screening tests. In this study, we estimated changes in the biovolume-based composition of a polyculture built in vitro and composed of three algal strains: Chlorella sp., Scenedesmus sp., and Parachlorella sp. We performed this work using the PhotoBiobox under different temperatures (10-36℃) and light intensities (50-700 μmol m-2 s-1) in air and in 5% CO2. In 5% CO2, Chlorella sp. exhibited better adaptation to high temperatures than in air conditions. Pearson's correlation analysis showed that the composition of Parachlorella sp. was highly related to temperature whereas Chlorella sp. and Scenedesmus sp. showed negative correlations in both air and 5% CO2. Furthermore, light intensity slightly affected the composition of Scenedesmus sp., whereas no significant effect was observed in other species. Based on these results, it is speculated that temperature is an important factor in influencing changes in algal polyculture community structure (PCS). These results further confirm that the PhotoBiobox is a convenient and available tool for performance of lab-scale experiments on PCS changes. The application of the PhotoBiobox in PCS studies will provide new insight into polyculture-based ecology.
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제안 방법
To overcome this problem, many studies have focused on enhancing algal biomass and metabolite productivity. These studies encompass genetic engineering of selected microalgae, stress induction, the construction of new cultivation apparatus such as the photobioreactor, and the hybrid operation of raceway open pond systems [2, 4-6]. Furthermore, the polyculture of varying microalgal species in the same cultivation apparatus has also been conducted to cope with the limitations of established mono-algal culture systems.
To verify which environmental factors affect algal succession in the open pond mass cultivation system of the modified algal polyculture, different light intensities, temperatures, and CO2 concentrations were evaluated in this study.
In this study, the changes in PCS under different temperatures and light intensities in air or CO2 conditions were investigated using the PhotoBiobox. The results revealed that atmospheric CO2 concentration can affect the environmental adaptation of microalgae.
대상 데이터
under different temperatures and light intensities in the 5% CO2 condition. Experiment was performed in triplicate (n = 3).
데이터처리
Pearson’s correlation analysis was performed using SPSS 18.0 software (SPSS Inc., USA) to determine the relationship between PCS composition and different environmental conditions (temperature and light intensity).
성능/효과
In a previous study, we designed the PhotoBiobox equipped with an LED array and light gradient filter, along with temperature and gas flow regulators to screen the optimal culture conditions of isolated microalgae using a 96-well microplate [9]. The study demonstrated that the PhotoBiobox can easily, automatically, and simultaneously regulate light intensity, temperature, and gas supply level to help determine the optimal culture conditions of target microalgae. Based on that study, we hypothesized that the PhotoBiobox can also be applied as an in vitro tool to study the monitoring of fluctuations in algal polyculture systems.
Although N. salina was not sufficiently damaged by ROS production, the study showed that increased oxidative stress can occur under the simultaneous effects of high light intensity and high CO2 concentration.
후속연구
The study demonstrated that the PhotoBiobox can easily, automatically, and simultaneously regulate light intensity, temperature, and gas supply level to help determine the optimal culture conditions of target microalgae. Based on that study, we hypothesized that the PhotoBiobox can also be applied as an in vitro tool to study the monitoring of fluctuations in algal polyculture systems. Thus, in a further study, we investigated the changes in polyculture community structure (PCS) under simultaneous and sequential fluctuations of temperature and light intensity, as well as different levels of CO2, using the PhotoBiobox.
In outdoor culture, however, microalgae growth and biomass productivity are affected by various environmental factors (nutrients, grazers) in addition to temperature and light. Therefore, further studies are required to clarify the effects on different biomass productivities on single culture and polyculture systems.
Physiological and ecological studies as well as biological studies of atmospheric CO2-derived climate change can be performed conveniently in lab-scale conditions with PhotoBiobox. In addition, further studies using the PhotoBiobox and regional environmental samples are required to examine the dynamics of harmful bloom-forming algae in lakes, rivers, and oceans for better understanding of phytoplankton community dynamics under specific environmental changes.
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