Articles Service
Research article
Isolation and Characterization of Novel Chlorella Species with Cold Resistance and High Lipid Accumulation for Biodiesel Production
1Advanced Biomass R&D Center (ABC), KAIST, Republic of Korea, 2Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 3Department of Chemistry and Energy Engineering, Sangmyung University, Republic of Korea, 4Department of Microbial and Nano Materials, College of Science and Technology, Mokwon University, Republic of Korea, 5Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
Correspondence to:J. Microbiol. Biotechnol. 2019; 29(6): 952-961
Published June 28, 2019 https://doi.org/10.4014/1904.04008
Copyright © The Korean Society for Microbiology and Biotechnology.
Abstract
Keywords
Introduction
Microalgae are seen as nature’s treasure chest as they have high potential application in diverse fields ranging from industrial areas such as biofuels, chemicals and materials to functional foods, environmental remediation, and nutraceuticals [1, 2]. Although different species of land plants are considered to be applicable in these fields as well, microalgae greatly outpace land plants in terms of growth rates, land usage, and the contents of the high-value products [3, 4]. Hence, research efforts to develop algal-based industries have been ongoing worldwide, from strain development to the optimization of cultivation, harvesting and extraction methods.
While there is a great diversity of algal species in terms of their phenotypes and evolutionary origins, the green algae
Over the past years, there have been a number of improvements in genetic engineering techniques involving microalgae. Many researchers have utilized these techniques to augment the growth and lipid productivities in a wide variety of high-performing species such as
In this study, two novel cold-tolerant microalgae species were isolated during the winter season from a South Korean freshwater lake. These were designated as
Materials and Methods
Isolation of Chlorella vulgaris ABC-002 and ABC-008
Algal samples were collected from a lake in Gyeonggi-do, South Korea (37°06’48.8’’N 126°58’17.0’’E), during the winter season. For the isolation of single algal cells, the samples were serially diluted and plated onto TAP (tris-acetate-phosphate) agar plates containing 100 µg/ml of ampicillin. The plates were stored at 10°C with continuous light (120 µE) illumination throughout the process to allow only for the cold-resistant strains to grow. From more than 200 colonies that appeared on the selection plate, 60 colonies (based on the size) were incubated in 25-ml cell culture flasks (SPL, Korea) with 10 ml of TAP media at 10°C to screen for strains with rapid growth rates and oleaginous traits. The screening was performed based on the culture’s optical densities and esterifiable lipid contents with these factors measured using a UV-spectrophotometer (Shimadzu, Japan) and a gas chromatograph (GC) (HP 6890, Agilent, USA), respectively. The strains with the highest growth rate and greatest lipid content were identified after a phylogenetic analysis and were designated as
DNA Sequencing and Phylogenetic Analyses
The cells were cultivated in 25-ml cell culture flasks (SPL) under TAP media for five days before harvesting. The harvested cells were concentrated up to 1 × 108 cells/ml density and then underwent DNA extraction with InstaGene Matrix (Bio-Rad, USA) according to the manufacturer’s instructions. The extracted DNA was then subjected to PCR amplification with 18S rDNA targeting primer sets (18SF: 5’-CCTGGTTGATCCTGCCAG-3’, 18SR: 5’-TTGATCCTTCTGCAGGTTCA-3’) [21]. The amplified products were run on 1.5% agarose gel for confirmation, followed by gel extraction with the QIAquick Gel Extraction Kit (Qiagen, Germany). The products were then sequenced by Solgent Co., Ltd. (Korea) with the same primer sets used for the PCR amplification step. After comparison of the 18S rDNA with the previously identified sequences from GenBank, they were submitted to GenBank with accession numbers MF686452 and MF686487.
For the phylogenetic analyses, 18S rDNA sequences of the isolated strains were aligned with those from various algal species obtained from the NCBI database. Based upon the alignment outcome, a phylogenetic tree was constructed using the maximum likelihood (ML) method with the starting tree created by unweighted pair group method with the arithmetic mean (UPGMA) approach using the CLC workbench program (version 7.7.2). For each method, 1,000 bootstrap replicates were performed.
Batch Cultivation at Different Temperatures
The cultivation conditions of
Growth Analysis
Cell growth was determined according to the cell numbers and dry cell weights (DCW) throughout the cultivation. The cell numbers were counted on a daily basis using an automated cell counter (Cellometer Auto X4, USA), and the DCW was only measured at the end of the cultivation. To measure the DCW, the cells were filtered through previously weighed GF/C filter papers (USA), followed by washing with distilled water and drying overnight at 60°C.
Fatty Acid Methyl Ester (FAME) Analysis
The esterifiable lipid content of each strain was measured through the conversion of the total cellular lipid into FAME using a modified version of the Folsch process, followed by GC analysis. To prepare the samples, cells were freeze-dried for five days and ground into a fine powder. Approximately 10 mg of the prepared samples were weighed and mixed with 2 ml of a chloroform-methanol mixture (2:1, v/v) by vortexing for 20 min. After adding 1 ml of an internal standard containing (100 mg heptadecanoic acid/200 ml chloroform), transesterification was carried out through a reaction with 1 ml of methanol and 300 µl of sulfuric acid at 100°C for 20 min. After cooling the reaction to room temperature, 1 ml of distilled water was added and vortexed to wash out the residual biomass and methanol, and the chloroform phase was separated by centrifugation at 4,000 ×
Maximum Quantum Yield Measurement
To evaluate the physiological properties of the
Microscopy Imaging and Size Distribution
The morphology of
Results
Morphology
Two
-
Fig. 1.
The morphologies of novel On day 4, the cells grown at 10°C exhibited larger cell sizes compared to the cells grown at 25°C. On day 14, no differences in the cell size were observed among the cells cultivated at different temperatures.Chlorella vulgaris strains ABC–002 and ABC–008 on days 4 and 14.
Noticeable changes in the cell size and morphology were observed when the cells were cultivated under low temperature. Cultivation at 10°C resulted in up to 100% increase in the cell sizes in both ABC-002 and ABC-008 during the growth phase, and the cells changed shapes into more spherical forms. However, these changes were no longer apparent when the cells entered the stationary phase, as they reverted to their respective normal features. Given these similar morphological characteristics of the two novel species, it was assumed that they were identical or very closely-related species prior to conducting the phylogenetic analyses.
Phylogenetic Analyses
The 18S rDNA of two
-
Fig. 2.
( A ) Phylogenetic tree of theC. vulgaris strains ABC-002 and ABC-008 and other algal species based on their 18S rDNA gene sequences. The bootstrap values are from 1,000 replicates of the sequence data.Nannochloropsis oculata (a seawater species) was used as an outgroup. (B ) 18S rDNA nucleotide differences betweenC.vulgaris ABC-002, ABC-008 and other algal species.
Growth under Different Temperature Conditions
The growth of
-
Fig. 3.
The cultivation of Each data instance represents the mean ± SD of two replicates. The significant differences are calculated by Student’sChlorella species in TAP media at (A ) 10°C and (B ) 25°C . (C ) The maximum quantum yields of the cells were calculated under both cultivation conditions using the multi-PAM method after dark adaptation for 20 min. (D ) The final dry cell weights of the strains cultivated under 10°C and 25°C were measured on day 12.t -test and are designated by asterisks (*p < 0.05, **p < 0.01, ***p < 0.001).
The dry cell weights (DCW) also showed relatively similar results to the growth data (Fig. 3D). Among the three strains, UTEX265 strain exhibited the lowest biomass yield of 1.5 g/l and 2.75 g/l at 10°C and 25°C, respectively. As for the two novel strains, ABC-002 (2.45 g/l, 3.4 g/l at 10°C, 25°C respectively) was found to yield higher DCWs than those of ABC-008 (2.25 g/l, 2.85 g/l at 10°C, 25°C respectively), even though ABC-008 had higher cell concentration.
Lipid Content and Composition
The total esterifiable lipid content of each strain was determined by GC after conversion to FAME, as described in Materials and Methods. At 10°C,
-
Table 1 . The fatty acid profile of
C. vulgaris ABC-002, ABC-008 and UTEX265 cultivated at 10° and 25° in TAP media.Cultivation temperature FAMEs (%) Fatty acid composition (%) CNa DUb LCSFc CFPPe C14:0 C16:0 C16:1 C16:2 C18:0 C18:1 C18:2 C18:3 etc. SFA MUFA PUFA C. vulgaris UTEX265 10°C 9.27 1.47 16.78 0.00 3.21 0.00 17.80 11.51 45.05 4.19 22.44 17.8 59.76 42.18 137.32 1.68 -11.20 C. vulgaris ABC-002 16.49 1.27 15.79 0.00 2.17 1.06 30.81 7.66 36.67 4.57 22.69 30.81 46.51 45.66 123.82 2.11 -9.85 C. vulgaris ABC-008 26.88 1.20 16.05 0.57 2.08 1.30 40.31 7.68 27.77 3.05 21.59 40.88 37.53 48.89 115.94 2.25 -9.40 C. vulgaris UTEX265 25°C 20.47 1.71 23.17 0.35 3.78 2.16 29.45 10.04 26.06 3.27 30.31 29.81 39.88 50.29 109.57 3.40 -5.80 C. vulgaris ABC-002 28.19 1.15 19.43 1.18 4.62 2.23 35.02 11.35 22.19 2.83 25.64 36.20 38.19 50.85 112.52 3.06 -6.86 C. vulgaris ABC-008 32.62 1.39 20.23 1.18 2.91 2.27 37.33 10.50 21.57 2.62 26.51 38.51 34.98 51.33 108.47 3.16 -6.56 The cetane number (CN), degree of unsaturation (DU), long-chain saturated factor (LCSF), and cold filter plugging point (CFPP) were estimated to evaluate the potential for use as a biodiesel.
aThe cetane number (CN) was calculated as follows: CN = 61.1 + 0.088X2 + 0.133X3 + 0.152 X4 – 0.101X5 – 0.039X6 – 0.243X7 – 0.395X8, where the variables X2 to X8 indicate
the weight percentages of methyl esters, as follows: C14:0, C16:0, C18:0, C18:1, C18:2, and C18:3, respectively [37].
bThe degree of unsaturation (DU) was calculated as follows: DU = 1 (monounsaturated Cn:1, wt.%) + 2 (polyunsaturated Cn: 2, wt.%) [38].
cThe long-chain saturated factor (LCSF) was calculated as follows: LCSF = 0.1 C16 (wt.%) + 0.5 C18 (wt.%) + 1 C20 (wt.%) + 1.5 C22 (wt.%) + 2 C24 (wt.%) [38].
dThe cold filter plugging point (CFPP) was calculated as follows: CFPP = 3.1417 (LSCF) – 16.477 [38].
The lipid productivity of each strain was calculated from the lipid content and DCW data shown in Fig. 3D and Fig. 4A (Fig. 4B). When cultivated at 10°C, ABC-008 showed the highest lipid productivity (49.93 mg/l/day), followed by ABC-002 (32.98 mg/l/day) and then UTEX265 (11.72 mg/l/day). Meanwhile, ABC-002 showed the highest lipid productivity (79.20 mg/l/day) at 25°C, followed by ABC-008 (76.70 mg/l/day) and
-
Fig. 4.
The esterifiable lipid content and productivities of The (C. vulgaris strains under the culture conditions of 10°C and 25°C in TAP media.A ) FAME content and (B ) FAME productivities were determined on day 12. The data points represent the means of duplicate samples and the error bars are the standard deviations. The significant differences are calculated by Student’st -test and are designated by asterisks (*p < 0.05, **p < 0.01, ***p < 0.001).
Discussion
The morphologies of the two
The results of this study also demonstrated that the two novel strains not only showed superior biomass yield than the UTEX265 strain, but also possess 1.4 to 2.9-fold higher lipid content depending on the condition. Oftentimes the growth rate and lipid content are inversely correlated, which hinders the attempts at increasing the lipid productivity via genetic engineering or by optimizing the cultivation conditions [30, 31]. Hence, the high performance in terms of both lipid content and growth rate in ABC-002 and ABC-008 imply that these strains innately possess more efficient metabolism or photosynthetic activities compared to those of
UTEX265 strain is known to possess favorable fatty acid composition, which makes it suitable for the production of biodiesel [32]. Therefore, UTEX265 was used as a benchmark against the ABC-002 and ABC-008 strains to judge the latters’ potential for industrial uses (Table 1). Generally, the quality of biodiesels can often be estimated by parameters such as CN (cetane number), DU (degree of unsaturation), LCSF (long-chain saturated factor), and CFPP (cold filter plugging point), which are determined by the FAME composition [33, 34]. Among these parameters, CN is directly related to the combustion quality and ignition delay, where a high CN value is beneficial for cold starts and reduces the amounts of white smoke emission. The FAMEs for all strains had adequate CN values for use as biodiesel according to the American standards (ASTM D6751, >47) when they were cultivated at 25 C, while the CN values deteriorated when the algae were cultivated at 10°C. Only
Taken together, the novel microalgal species
Acknowledgments
This research was supported by the Advanced Biomass R&D Center (ABC) of the Global Frontier Project, funded by the Ministry of Science and ICT (ABC-2010-0029728, 2011-0031343 and 2011-0031350).
Conflict of Interest
The authors have no financial conflicts of interest to declare.
References
- Slocombe SP, Zhang Q, Ross M, Anderson A, Thomas NJ, Lapresa A,
et al . 2015. Unlocking naturés treasure-chest: screening for oleaginous algae.Sci. Rep. 5 : 9844. - Mata TM, Martins AA, Caetano NS. 2010. Microalgae for biodiesel production and other applications: a review.
Renew. Sust. Energ. Rev. 14 : 217-232. - Neofotis P, Huang A, Sury K, Chang W, Joseph F, Gabr A,
et al . 2016. Characterization and classification of highly productive microalgae strains discovered for biofuel and bioproduct generation.Algal. Res. 15 : 164-178. - Weyer KM, Bush DR, Darzins A, Willson BD. 2010. Theoretical maximum algal oil production.
Bioenerg. Res. 3 : 204-213. - Safi C, Zebib B, Merah O, Pontalier PY, Vaca-Garcia C. 2014. Morphology, composition, production, processing and applications of
Chlorella vulgaris : a review.Renew. Sust. Energ. Rev. 35 : 265-278. - Ahn JW, Hwangbo K, Lee SY, Choi HG, Park YI, Liu JR,
et al . 2012. A new ArcticChlorella species for biodiesel production.Bioresour. Technol. 125 : 340-343. - Treves H, Raanan H, Finkel OM, Berkowicz SM, Keren N, Shotland Y,
et al . 2013. A newly isolatedChlorella sp. from desert sand crusts exhibits a unique resistance to excess light intensity.Fems Microbiol. Ecol. 86 : 373-380. - NAABB. 2016. National Algal Biofuels Technology Review. 7.
- Kao CY, Chiu SY, Huang TT, Dai L, Wang GH, Tseng CP,
et al . 2012. A mutant strain of microalgaChlorella sp. for the carbon dioxide capture from biogas.Biomass Bioenergy 36 : 132-140. - Wang LA, Min M, Li YC, Chen P, Chen YF, Liu YH,
et al . 2010. Cultivation of green algaeChlorella sp. in different wastewaters from municipal wastewater treatment plant.Appl. Biochem. Biotechnol. 162 : 1174-1186. - Del Campo JA, Rodriguez H, Moreno J, Vargas MA, Rivas J, Guerrero MG. 2004. Accumulation of astaxanthin and lutein in
Chlorella zofingiensis (Chlorophyta).Appl. Microbiol. Biotechnol. 64 : 848-854. - Kwon S, Kang NK, Koh HG, Shin SE, Lee B, Jeong BR,
et al . 2018. Enhancement of biomass and lipid productivity by overexpression of a bZIP transcription factor in Nanno-chloropsis salina.Biotechnol. Bioeng. 115 : 331-340. - Ajjawi I, Verruto J, Aqui M, Soriaga LB, Coppersmith J, Kwok K,
et al . 2017. Lipid production inNannochloropsis gaditana is doubled by decreasing expression of a single transcriptional regulator.Nat. Biotechnol. 35 : 647-652. - Shin WS, Lee B, Kang NK, Kim YU, Jeong WJ, Jeong BR,
et al . 2017-MS. Complementation of a mutation in CpSRP43 causing partial truncation of light-harvesting chlorophyll antenna inChlorella vulgaris .Sci. Rep. 7 : 17929. - Shin WS, Lee B, Jeong BR, Chang YK, Kwon JH. 2016. Truncated light-harvesting chlorophyll antenna size in
Chlorella vulgaris improves biomass productivity.J. Appl. Phycol. 28 : 3193-3202. - Richardson JW, Johnson MD, Outlaw JL. 2012. Economic comparison of open pond raceways to photo bio-reactors for profitable production of algae for transportation fuels in the Southwest.
Algal Res. 1 : 93-100. - Davis R, Aden A, Pienkos PT. 2011. Techno-economic analysis of autotrophic microalgae for fuel production.
Appl. Energ. 88 : 3524-3531. - Richardson JW, Johnson MD, Zhang XZ, Zemke P, Chen W, Hu Q. 2014. A financial assessment of two alternative cultivation systems and their contributions to algae biofuel economic viability.
Algal Res. 4 : 96-104. - Gong M, Bassi A. 2017. Investigation of
Chlorella vulgaris UTEX 265 cultivation under light and low temperature stressed conditions for lutein production in flasks and the coiled tree photo-bioreactor (CTPBR).Appl. Biochem. Biotechnol. 183 : 652-671. - Rosenberg JN, Kobayashi N, Barnes A, Noel EA, Betenbaugh MJ, Oyler GA. 2014. Comparative analyses of three
Chlorella species in response to light and sugar reveal distinctive lipid accumulation patterns in the microalga°C. sorokiniana.PLoS One 9(4) : e92460. - Wan MX, Wang RM, Xia JL, Rosenberg JN, Nie ZY, Kobayashi N,
et al . 2012. Physiological evaluation of a newChlorella sorokiniana isolate for its biomass production and lipid accumulation in photoautotrophic and heterotrophic cultures.Biotechnol. Bioeng. 109 : 1958-1964. - Farooq W, Lee YC, Ryu BG, Kim BH, Kim HS, Choi YE,
et al . 2013. Two-stage cultivation of twoChlorella sp. strains by simultaneous treatment of brewery wastewater and maximizing lipid productivity.Bioresour. Technol. 132 : 230-238. - Lee YC, Lee K, Oh YK. 2015. Recent nanoparticle engineering advances in microalgal cultivation and harvesting processes of biodiesel production: a review.
Bioresour. Technol. 184 : 63-72. - Kobayashi N, Barnes A, Jensen T, Noel E, Andlay G, Rosenberg JN,
et al . 2015. Comparison of biomass and lipid production under ambient carbon dioxide vigorous aeration and 3% carbon dioxide condition among the lead candidateChlorella strains screened by various photobioreactor scales.Bioresour. Technol. 198 : 246-255. - Beijerinck M. 1890. Kulturversuche mit Zoochlorellen, Lichenengonidien und anderen niederen Algen.
Botanische Ztg. 48 : 729. - Hu Q, Sommerfeld M, Jarvis E, Ghirardi M, Posewitz M, Seibert M,
et al . 2008. Microalgal triacylglycerols as feedstocks for biofuel production: perspectives and advances.Plant J. 54 : 621-639. - Teoh ML, Chu WL, Marchant H, Phang SM. 2004. Influence of culture temperature on the growth, biochemical composition and fatty acid profiles of six Antarctic microalgae.
J. Appl. Phycol. 16 : 421-430. - Seaburg KG, Parker BC, Wharton RA, Simmons GM. 1981. Temperature-growth responses of algal isolates from antarctic oases.
J. Phycology 17 : 353-360. - Murchie EH, Lawson T. 2013. Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications.
J. Exp. Bot. 64 : 3983-3998. - Lv HX, Qu G, Qi XZ, Lu LN, Tian CG, Ma YH. 2013. Transcriptome analysis of
Chlamydomonas reinhardtii during the process of lipid accumulation.Genomics 101 : 229-237. - Yao Y, Lu Y, Peng KT, Huang T, Niu YF, Xie WH,
et al . 2014. Glycerol and neutral lipid production in the oleaginous marine diatomPhaeodactylum tricornutum promoted by overexpression of glycerol-3-phosphate dehydrogenase.Biotechnol. Biofuels 7 : 110. - Nam K, Lee H, Heo SW, Chang YK, Han JI. 2017. Cultivation of
Chlorella vulgaris with swine wastewater and potential for algal biodiesel production.J. Appl. Phycol. 29 : 1171-1178. - Bouaid A, Vazquez R, Martinez M, Aracil J. 2016. Effect of free fatty acids contents on biodiesel quality. Pilot plant studies.
Fuel 174 : 54-62. - Stansell GR, Gray VM, Sym SD. 2012. Microalgal fatty acid composition: implications for biodiesel quality.
J. Appl. Phycol. 24 : 791-801. - Jiang HM, Gao KS. 2004. Effects of lowering temperature during culture on the production of polyunsaturated fatty acids in the marine diatom
Phaeodactylum tricornutum (Bacillariophyceae).J. Phycology 40 : 651-654. - Van Wagenen J, Miller TW, Hobbs S, Hook P, Crowe B, Huesemann M. 2012. Effects of light and temperature on fatty acid production in nannochloropsis salina.
Energies 5 : 731-740. - Bamgboye AI, Hansen AC. 2008. Prediction of cetane number of biodiesel fuel from the fatty acid methyl ester (FAME) composition.
Int. Agrophys. 22 : 21-29. - Ramos MJ, Fernandez CM, Casas A, Rodriguez L, Perez A. 2009. Influence of fatty acid composition of raw materials on biodiesel properties.
Bioresour. Technol. 100 : 261-268.
Related articles in JMB

Article
Research article
J. Microbiol. Biotechnol. 2019; 29(6): 952-961
Published online June 28, 2019 https://doi.org/10.4014/1904.04008
Copyright © The Korean Society for Microbiology and Biotechnology.
Isolation and Characterization of Novel Chlorella Species with Cold Resistance and High Lipid Accumulation for Biodiesel Production
Hyun Gi Koh 1, Nam Kyu Kang 2, Eun Kyung Kim 1, William Insang Suh 1, Won-Kun Park 3, Bongsoo Lee 4* and Yong Keun Chang 1, 5*
1Advanced Biomass R&D Center (ABC), KAIST, Republic of Korea, 2Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 3Department of Chemistry and Energy Engineering, Sangmyung University, Republic of Korea, 4Department of Microbial and Nano Materials, College of Science and Technology, Mokwon University, Republic of Korea, 5Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
Correspondence to:Bongsoo Lee bongsoolee@mokwon.ac.kr
Yong Keun Chang changyk@kaist.ac.kr
Abstract
Chlorella spp. are green algae that are found across wide-ranging habitats from deserts to arctic regions, with various strains having adapted to survive under diverse environmental conditions. In this study, two novel Chlorella strains (ABC-002, ABC-008) were isolated from a freshwater lake in South Korea during the winter season and examined for possible use in the biofuel production process. The comparison of ABC-002 and ABC-008 strains with Chlorella vulgaris UTEX265 under two different temperatures (10oC, 25oC) revealed their cold-tolerant phenotypes as well as high biomass yields. The maximum quantum yields of UTEX25, ABC- 002, and ABC-008 at 10oC were 0.5594, 0.6747, and 0.7150, respectively, providing evidence of the relatively higher cold-resistance capabilities of these two strains. Furthermore, both the biomass yields and lipid content of the two novel strains were found to be higher than those of UTEX265; the overall lipid productivities of ABC-002 and ABC-008 were 1.7 ~ 2.8 fold and 1.6 ~ 4.2 fold higher compared to that of UTEX265, respectively. Thus, the high biomass and lipid productivity over a wide range of temperatures indicate that C. vulgaris ABC-002 and ABC-008 are promising candidates for applications in biofuel productions via outdoor biomass cultivation.
Keywords: Chlorella, green algae, phylogeny, cold tolerance, biofuel
Introduction
Microalgae are seen as nature’s treasure chest as they have high potential application in diverse fields ranging from industrial areas such as biofuels, chemicals and materials to functional foods, environmental remediation, and nutraceuticals [1, 2]. Although different species of land plants are considered to be applicable in these fields as well, microalgae greatly outpace land plants in terms of growth rates, land usage, and the contents of the high-value products [3, 4]. Hence, research efforts to develop algal-based industries have been ongoing worldwide, from strain development to the optimization of cultivation, harvesting and extraction methods.
While there is a great diversity of algal species in terms of their phenotypes and evolutionary origins, the green algae
Over the past years, there have been a number of improvements in genetic engineering techniques involving microalgae. Many researchers have utilized these techniques to augment the growth and lipid productivities in a wide variety of high-performing species such as
In this study, two novel cold-tolerant microalgae species were isolated during the winter season from a South Korean freshwater lake. These were designated as
Materials and Methods
Isolation of Chlorella vulgaris ABC-002 and ABC-008
Algal samples were collected from a lake in Gyeonggi-do, South Korea (37°06’48.8’’N 126°58’17.0’’E), during the winter season. For the isolation of single algal cells, the samples were serially diluted and plated onto TAP (tris-acetate-phosphate) agar plates containing 100 µg/ml of ampicillin. The plates were stored at 10°C with continuous light (120 µE) illumination throughout the process to allow only for the cold-resistant strains to grow. From more than 200 colonies that appeared on the selection plate, 60 colonies (based on the size) were incubated in 25-ml cell culture flasks (SPL, Korea) with 10 ml of TAP media at 10°C to screen for strains with rapid growth rates and oleaginous traits. The screening was performed based on the culture’s optical densities and esterifiable lipid contents with these factors measured using a UV-spectrophotometer (Shimadzu, Japan) and a gas chromatograph (GC) (HP 6890, Agilent, USA), respectively. The strains with the highest growth rate and greatest lipid content were identified after a phylogenetic analysis and were designated as
DNA Sequencing and Phylogenetic Analyses
The cells were cultivated in 25-ml cell culture flasks (SPL) under TAP media for five days before harvesting. The harvested cells were concentrated up to 1 × 108 cells/ml density and then underwent DNA extraction with InstaGene Matrix (Bio-Rad, USA) according to the manufacturer’s instructions. The extracted DNA was then subjected to PCR amplification with 18S rDNA targeting primer sets (18SF: 5’-CCTGGTTGATCCTGCCAG-3’, 18SR: 5’-TTGATCCTTCTGCAGGTTCA-3’) [21]. The amplified products were run on 1.5% agarose gel for confirmation, followed by gel extraction with the QIAquick Gel Extraction Kit (Qiagen, Germany). The products were then sequenced by Solgent Co., Ltd. (Korea) with the same primer sets used for the PCR amplification step. After comparison of the 18S rDNA with the previously identified sequences from GenBank, they were submitted to GenBank with accession numbers MF686452 and MF686487.
For the phylogenetic analyses, 18S rDNA sequences of the isolated strains were aligned with those from various algal species obtained from the NCBI database. Based upon the alignment outcome, a phylogenetic tree was constructed using the maximum likelihood (ML) method with the starting tree created by unweighted pair group method with the arithmetic mean (UPGMA) approach using the CLC workbench program (version 7.7.2). For each method, 1,000 bootstrap replicates were performed.
Batch Cultivation at Different Temperatures
The cultivation conditions of
Growth Analysis
Cell growth was determined according to the cell numbers and dry cell weights (DCW) throughout the cultivation. The cell numbers were counted on a daily basis using an automated cell counter (Cellometer Auto X4, USA), and the DCW was only measured at the end of the cultivation. To measure the DCW, the cells were filtered through previously weighed GF/C filter papers (USA), followed by washing with distilled water and drying overnight at 60°C.
Fatty Acid Methyl Ester (FAME) Analysis
The esterifiable lipid content of each strain was measured through the conversion of the total cellular lipid into FAME using a modified version of the Folsch process, followed by GC analysis. To prepare the samples, cells were freeze-dried for five days and ground into a fine powder. Approximately 10 mg of the prepared samples were weighed and mixed with 2 ml of a chloroform-methanol mixture (2:1, v/v) by vortexing for 20 min. After adding 1 ml of an internal standard containing (100 mg heptadecanoic acid/200 ml chloroform), transesterification was carried out through a reaction with 1 ml of methanol and 300 µl of sulfuric acid at 100°C for 20 min. After cooling the reaction to room temperature, 1 ml of distilled water was added and vortexed to wash out the residual biomass and methanol, and the chloroform phase was separated by centrifugation at 4,000 ×
Maximum Quantum Yield Measurement
To evaluate the physiological properties of the
Microscopy Imaging and Size Distribution
The morphology of
Results
Morphology
Two
-
Figure 1.
The morphologies of novel On day 4, the cells grown at 10°C exhibited larger cell sizes compared to the cells grown at 25°C. On day 14, no differences in the cell size were observed among the cells cultivated at different temperatures.Chlorella vulgaris strains ABC–002 and ABC–008 on days 4 and 14.
Noticeable changes in the cell size and morphology were observed when the cells were cultivated under low temperature. Cultivation at 10°C resulted in up to 100% increase in the cell sizes in both ABC-002 and ABC-008 during the growth phase, and the cells changed shapes into more spherical forms. However, these changes were no longer apparent when the cells entered the stationary phase, as they reverted to their respective normal features. Given these similar morphological characteristics of the two novel species, it was assumed that they were identical or very closely-related species prior to conducting the phylogenetic analyses.
Phylogenetic Analyses
The 18S rDNA of two
-
Figure 2.
( A ) Phylogenetic tree of theC. vulgaris strains ABC-002 and ABC-008 and other algal species based on their 18S rDNA gene sequences. The bootstrap values are from 1,000 replicates of the sequence data.Nannochloropsis oculata (a seawater species) was used as an outgroup. (B ) 18S rDNA nucleotide differences betweenC.vulgaris ABC-002, ABC-008 and other algal species.
Growth under Different Temperature Conditions
The growth of
-
Figure 3.
The cultivation of Each data instance represents the mean ± SD of two replicates. The significant differences are calculated by Student’sChlorella species in TAP media at (A ) 10°C and (B ) 25°C . (C ) The maximum quantum yields of the cells were calculated under both cultivation conditions using the multi-PAM method after dark adaptation for 20 min. (D ) The final dry cell weights of the strains cultivated under 10°C and 25°C were measured on day 12.t -test and are designated by asterisks (*p < 0.05, **p < 0.01, ***p < 0.001).
The dry cell weights (DCW) also showed relatively similar results to the growth data (Fig. 3D). Among the three strains, UTEX265 strain exhibited the lowest biomass yield of 1.5 g/l and 2.75 g/l at 10°C and 25°C, respectively. As for the two novel strains, ABC-002 (2.45 g/l, 3.4 g/l at 10°C, 25°C respectively) was found to yield higher DCWs than those of ABC-008 (2.25 g/l, 2.85 g/l at 10°C, 25°C respectively), even though ABC-008 had higher cell concentration.
Lipid Content and Composition
The total esterifiable lipid content of each strain was determined by GC after conversion to FAME, as described in Materials and Methods. At 10°C,
-
Table 1 . The fatty acid profile of
C. vulgaris ABC-002, ABC-008 and UTEX265 cultivated at 10° and 25° in TAP media..Cultivation temperature FAMEs (%) Fatty acid composition (%) CNa DUb LCSFc CFPPe C14:0 C16:0 C16:1 C16:2 C18:0 C18:1 C18:2 C18:3 etc. SFA MUFA PUFA C. vulgaris UTEX265 10°C 9.27 1.47 16.78 0.00 3.21 0.00 17.80 11.51 45.05 4.19 22.44 17.8 59.76 42.18 137.32 1.68 -11.20 C. vulgaris ABC-002 16.49 1.27 15.79 0.00 2.17 1.06 30.81 7.66 36.67 4.57 22.69 30.81 46.51 45.66 123.82 2.11 -9.85 C. vulgaris ABC-008 26.88 1.20 16.05 0.57 2.08 1.30 40.31 7.68 27.77 3.05 21.59 40.88 37.53 48.89 115.94 2.25 -9.40 C. vulgaris UTEX265 25°C 20.47 1.71 23.17 0.35 3.78 2.16 29.45 10.04 26.06 3.27 30.31 29.81 39.88 50.29 109.57 3.40 -5.80 C. vulgaris ABC-002 28.19 1.15 19.43 1.18 4.62 2.23 35.02 11.35 22.19 2.83 25.64 36.20 38.19 50.85 112.52 3.06 -6.86 C. vulgaris ABC-008 32.62 1.39 20.23 1.18 2.91 2.27 37.33 10.50 21.57 2.62 26.51 38.51 34.98 51.33 108.47 3.16 -6.56 The cetane number (CN), degree of unsaturation (DU), long-chain saturated factor (LCSF), and cold filter plugging point (CFPP) were estimated to evaluate the potential for use as a biodiesel..
aThe cetane number (CN) was calculated as follows: CN = 61.1 + 0.088X2 + 0.133X3 + 0.152 X4 – 0.101X5 – 0.039X6 – 0.243X7 – 0.395X8, where the variables X2 to X8 indicate.
the weight percentages of methyl esters, as follows: C14:0, C16:0, C18:0, C18:1, C18:2, and C18:3, respectively [37]..
bThe degree of unsaturation (DU) was calculated as follows: DU = 1 (monounsaturated Cn:1, wt.%) + 2 (polyunsaturated Cn: 2, wt.%) [38]..
cThe long-chain saturated factor (LCSF) was calculated as follows: LCSF = 0.1 C16 (wt.%) + 0.5 C18 (wt.%) + 1 C20 (wt.%) + 1.5 C22 (wt.%) + 2 C24 (wt.%) [38]..
dThe cold filter plugging point (CFPP) was calculated as follows: CFPP = 3.1417 (LSCF) – 16.477 [38]..
The lipid productivity of each strain was calculated from the lipid content and DCW data shown in Fig. 3D and Fig. 4A (Fig. 4B). When cultivated at 10°C, ABC-008 showed the highest lipid productivity (49.93 mg/l/day), followed by ABC-002 (32.98 mg/l/day) and then UTEX265 (11.72 mg/l/day). Meanwhile, ABC-002 showed the highest lipid productivity (79.20 mg/l/day) at 25°C, followed by ABC-008 (76.70 mg/l/day) and
-
Figure 4.
The esterifiable lipid content and productivities of The (C. vulgaris strains under the culture conditions of 10°C and 25°C in TAP media.A ) FAME content and (B ) FAME productivities were determined on day 12. The data points represent the means of duplicate samples and the error bars are the standard deviations. The significant differences are calculated by Student’st -test and are designated by asterisks (*p < 0.05, **p < 0.01, ***p < 0.001).
Discussion
The morphologies of the two
The results of this study also demonstrated that the two novel strains not only showed superior biomass yield than the UTEX265 strain, but also possess 1.4 to 2.9-fold higher lipid content depending on the condition. Oftentimes the growth rate and lipid content are inversely correlated, which hinders the attempts at increasing the lipid productivity via genetic engineering or by optimizing the cultivation conditions [30, 31]. Hence, the high performance in terms of both lipid content and growth rate in ABC-002 and ABC-008 imply that these strains innately possess more efficient metabolism or photosynthetic activities compared to those of
UTEX265 strain is known to possess favorable fatty acid composition, which makes it suitable for the production of biodiesel [32]. Therefore, UTEX265 was used as a benchmark against the ABC-002 and ABC-008 strains to judge the latters’ potential for industrial uses (Table 1). Generally, the quality of biodiesels can often be estimated by parameters such as CN (cetane number), DU (degree of unsaturation), LCSF (long-chain saturated factor), and CFPP (cold filter plugging point), which are determined by the FAME composition [33, 34]. Among these parameters, CN is directly related to the combustion quality and ignition delay, where a high CN value is beneficial for cold starts and reduces the amounts of white smoke emission. The FAMEs for all strains had adequate CN values for use as biodiesel according to the American standards (ASTM D6751, >47) when they were cultivated at 25 C, while the CN values deteriorated when the algae were cultivated at 10°C. Only
Taken together, the novel microalgal species
Acknowledgments
This research was supported by the Advanced Biomass R&D Center (ABC) of the Global Frontier Project, funded by the Ministry of Science and ICT (ABC-2010-0029728, 2011-0031343 and 2011-0031350).
Conflict of Interest
The authors have no financial conflicts of interest to declare.
Fig 1.

Fig 2.

Fig 3.

Fig 4.

-
Table 1 . The fatty acid profile of
C. vulgaris ABC-002, ABC-008 and UTEX265 cultivated at 10° and 25° in TAP media..Cultivation temperature FAMEs (%) Fatty acid composition (%) CNa DUb LCSFc CFPPe C14:0 C16:0 C16:1 C16:2 C18:0 C18:1 C18:2 C18:3 etc. SFA MUFA PUFA C. vulgaris UTEX265 10°C 9.27 1.47 16.78 0.00 3.21 0.00 17.80 11.51 45.05 4.19 22.44 17.8 59.76 42.18 137.32 1.68 -11.20 C. vulgaris ABC-002 16.49 1.27 15.79 0.00 2.17 1.06 30.81 7.66 36.67 4.57 22.69 30.81 46.51 45.66 123.82 2.11 -9.85 C. vulgaris ABC-008 26.88 1.20 16.05 0.57 2.08 1.30 40.31 7.68 27.77 3.05 21.59 40.88 37.53 48.89 115.94 2.25 -9.40 C. vulgaris UTEX265 25°C 20.47 1.71 23.17 0.35 3.78 2.16 29.45 10.04 26.06 3.27 30.31 29.81 39.88 50.29 109.57 3.40 -5.80 C. vulgaris ABC-002 28.19 1.15 19.43 1.18 4.62 2.23 35.02 11.35 22.19 2.83 25.64 36.20 38.19 50.85 112.52 3.06 -6.86 C. vulgaris ABC-008 32.62 1.39 20.23 1.18 2.91 2.27 37.33 10.50 21.57 2.62 26.51 38.51 34.98 51.33 108.47 3.16 -6.56 The cetane number (CN), degree of unsaturation (DU), long-chain saturated factor (LCSF), and cold filter plugging point (CFPP) were estimated to evaluate the potential for use as a biodiesel..
aThe cetane number (CN) was calculated as follows: CN = 61.1 + 0.088X2 + 0.133X3 + 0.152 X4 – 0.101X5 – 0.039X6 – 0.243X7 – 0.395X8, where the variables X2 to X8 indicate.
the weight percentages of methyl esters, as follows: C14:0, C16:0, C18:0, C18:1, C18:2, and C18:3, respectively [37]..
bThe degree of unsaturation (DU) was calculated as follows: DU = 1 (monounsaturated Cn:1, wt.%) + 2 (polyunsaturated Cn: 2, wt.%) [38]..
cThe long-chain saturated factor (LCSF) was calculated as follows: LCSF = 0.1 C16 (wt.%) + 0.5 C18 (wt.%) + 1 C20 (wt.%) + 1.5 C22 (wt.%) + 2 C24 (wt.%) [38]..
dThe cold filter plugging point (CFPP) was calculated as follows: CFPP = 3.1417 (LSCF) – 16.477 [38]..
References
- Slocombe SP, Zhang Q, Ross M, Anderson A, Thomas NJ, Lapresa A,
et al . 2015. Unlocking naturés treasure-chest: screening for oleaginous algae.Sci. Rep. 5 : 9844. - Mata TM, Martins AA, Caetano NS. 2010. Microalgae for biodiesel production and other applications: a review.
Renew. Sust. Energ. Rev. 14 : 217-232. - Neofotis P, Huang A, Sury K, Chang W, Joseph F, Gabr A,
et al . 2016. Characterization and classification of highly productive microalgae strains discovered for biofuel and bioproduct generation.Algal. Res. 15 : 164-178. - Weyer KM, Bush DR, Darzins A, Willson BD. 2010. Theoretical maximum algal oil production.
Bioenerg. Res. 3 : 204-213. - Safi C, Zebib B, Merah O, Pontalier PY, Vaca-Garcia C. 2014. Morphology, composition, production, processing and applications of
Chlorella vulgaris : a review.Renew. Sust. Energ. Rev. 35 : 265-278. - Ahn JW, Hwangbo K, Lee SY, Choi HG, Park YI, Liu JR,
et al . 2012. A new ArcticChlorella species for biodiesel production.Bioresour. Technol. 125 : 340-343. - Treves H, Raanan H, Finkel OM, Berkowicz SM, Keren N, Shotland Y,
et al . 2013. A newly isolatedChlorella sp. from desert sand crusts exhibits a unique resistance to excess light intensity.Fems Microbiol. Ecol. 86 : 373-380. - NAABB. 2016. National Algal Biofuels Technology Review. 7.
- Kao CY, Chiu SY, Huang TT, Dai L, Wang GH, Tseng CP,
et al . 2012. A mutant strain of microalgaChlorella sp. for the carbon dioxide capture from biogas.Biomass Bioenergy 36 : 132-140. - Wang LA, Min M, Li YC, Chen P, Chen YF, Liu YH,
et al . 2010. Cultivation of green algaeChlorella sp. in different wastewaters from municipal wastewater treatment plant.Appl. Biochem. Biotechnol. 162 : 1174-1186. - Del Campo JA, Rodriguez H, Moreno J, Vargas MA, Rivas J, Guerrero MG. 2004. Accumulation of astaxanthin and lutein in
Chlorella zofingiensis (Chlorophyta).Appl. Microbiol. Biotechnol. 64 : 848-854. - Kwon S, Kang NK, Koh HG, Shin SE, Lee B, Jeong BR,
et al . 2018. Enhancement of biomass and lipid productivity by overexpression of a bZIP transcription factor in Nanno-chloropsis salina.Biotechnol. Bioeng. 115 : 331-340. - Ajjawi I, Verruto J, Aqui M, Soriaga LB, Coppersmith J, Kwok K,
et al . 2017. Lipid production inNannochloropsis gaditana is doubled by decreasing expression of a single transcriptional regulator.Nat. Biotechnol. 35 : 647-652. - Shin WS, Lee B, Kang NK, Kim YU, Jeong WJ, Jeong BR,
et al . 2017-MS. Complementation of a mutation in CpSRP43 causing partial truncation of light-harvesting chlorophyll antenna inChlorella vulgaris .Sci. Rep. 7 : 17929. - Shin WS, Lee B, Jeong BR, Chang YK, Kwon JH. 2016. Truncated light-harvesting chlorophyll antenna size in
Chlorella vulgaris improves biomass productivity.J. Appl. Phycol. 28 : 3193-3202. - Richardson JW, Johnson MD, Outlaw JL. 2012. Economic comparison of open pond raceways to photo bio-reactors for profitable production of algae for transportation fuels in the Southwest.
Algal Res. 1 : 93-100. - Davis R, Aden A, Pienkos PT. 2011. Techno-economic analysis of autotrophic microalgae for fuel production.
Appl. Energ. 88 : 3524-3531. - Richardson JW, Johnson MD, Zhang XZ, Zemke P, Chen W, Hu Q. 2014. A financial assessment of two alternative cultivation systems and their contributions to algae biofuel economic viability.
Algal Res. 4 : 96-104. - Gong M, Bassi A. 2017. Investigation of
Chlorella vulgaris UTEX 265 cultivation under light and low temperature stressed conditions for lutein production in flasks and the coiled tree photo-bioreactor (CTPBR).Appl. Biochem. Biotechnol. 183 : 652-671. - Rosenberg JN, Kobayashi N, Barnes A, Noel EA, Betenbaugh MJ, Oyler GA. 2014. Comparative analyses of three
Chlorella species in response to light and sugar reveal distinctive lipid accumulation patterns in the microalga°C. sorokiniana.PLoS One 9(4) : e92460. - Wan MX, Wang RM, Xia JL, Rosenberg JN, Nie ZY, Kobayashi N,
et al . 2012. Physiological evaluation of a newChlorella sorokiniana isolate for its biomass production and lipid accumulation in photoautotrophic and heterotrophic cultures.Biotechnol. Bioeng. 109 : 1958-1964. - Farooq W, Lee YC, Ryu BG, Kim BH, Kim HS, Choi YE,
et al . 2013. Two-stage cultivation of twoChlorella sp. strains by simultaneous treatment of brewery wastewater and maximizing lipid productivity.Bioresour. Technol. 132 : 230-238. - Lee YC, Lee K, Oh YK. 2015. Recent nanoparticle engineering advances in microalgal cultivation and harvesting processes of biodiesel production: a review.
Bioresour. Technol. 184 : 63-72. - Kobayashi N, Barnes A, Jensen T, Noel E, Andlay G, Rosenberg JN,
et al . 2015. Comparison of biomass and lipid production under ambient carbon dioxide vigorous aeration and 3% carbon dioxide condition among the lead candidateChlorella strains screened by various photobioreactor scales.Bioresour. Technol. 198 : 246-255. - Beijerinck M. 1890. Kulturversuche mit Zoochlorellen, Lichenengonidien und anderen niederen Algen.
Botanische Ztg. 48 : 729. - Hu Q, Sommerfeld M, Jarvis E, Ghirardi M, Posewitz M, Seibert M,
et al . 2008. Microalgal triacylglycerols as feedstocks for biofuel production: perspectives and advances.Plant J. 54 : 621-639. - Teoh ML, Chu WL, Marchant H, Phang SM. 2004. Influence of culture temperature on the growth, biochemical composition and fatty acid profiles of six Antarctic microalgae.
J. Appl. Phycol. 16 : 421-430. - Seaburg KG, Parker BC, Wharton RA, Simmons GM. 1981. Temperature-growth responses of algal isolates from antarctic oases.
J. Phycology 17 : 353-360. - Murchie EH, Lawson T. 2013. Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications.
J. Exp. Bot. 64 : 3983-3998. - Lv HX, Qu G, Qi XZ, Lu LN, Tian CG, Ma YH. 2013. Transcriptome analysis of
Chlamydomonas reinhardtii during the process of lipid accumulation.Genomics 101 : 229-237. - Yao Y, Lu Y, Peng KT, Huang T, Niu YF, Xie WH,
et al . 2014. Glycerol and neutral lipid production in the oleaginous marine diatomPhaeodactylum tricornutum promoted by overexpression of glycerol-3-phosphate dehydrogenase.Biotechnol. Biofuels 7 : 110. - Nam K, Lee H, Heo SW, Chang YK, Han JI. 2017. Cultivation of
Chlorella vulgaris with swine wastewater and potential for algal biodiesel production.J. Appl. Phycol. 29 : 1171-1178. - Bouaid A, Vazquez R, Martinez M, Aracil J. 2016. Effect of free fatty acids contents on biodiesel quality. Pilot plant studies.
Fuel 174 : 54-62. - Stansell GR, Gray VM, Sym SD. 2012. Microalgal fatty acid composition: implications for biodiesel quality.
J. Appl. Phycol. 24 : 791-801. - Jiang HM, Gao KS. 2004. Effects of lowering temperature during culture on the production of polyunsaturated fatty acids in the marine diatom
Phaeodactylum tricornutum (Bacillariophyceae).J. Phycology 40 : 651-654. - Van Wagenen J, Miller TW, Hobbs S, Hook P, Crowe B, Huesemann M. 2012. Effects of light and temperature on fatty acid production in nannochloropsis salina.
Energies 5 : 731-740. - Bamgboye AI, Hansen AC. 2008. Prediction of cetane number of biodiesel fuel from the fatty acid methyl ester (FAME) composition.
Int. Agrophys. 22 : 21-29. - Ramos MJ, Fernandez CM, Casas A, Rodriguez L, Perez A. 2009. Influence of fatty acid composition of raw materials on biodiesel properties.
Bioresour. Technol. 100 : 261-268.