数字农科院2.0

Recent advances in biotechnology and bioengineering for efficient microalgal biofuel production

文献类型： 外文期刊

作者： Chaoqun Zhang;Rahul Prasad Singh;Priya Yadav;Indrajeet Kumar;Amit Kaushik;Rajib Roychowdhury;Mustansar Mubeen;Sandeep Kumar Singh;Ajay Kumar;Jie Wang

作者机构：

关键词： Biofuel;Co-cultivation;Genomics;Photobioreactor;Proteomics;Software tools;Transcriptomics

期刊名称： Fuel Processing Technology

ISSN： 0378-3820

年卷期： 2025 年 270 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Microalgal biofuels have emerged as a promising avenue for meeting the growing demands for clean and efficient energy. However, the integration of microalgae into the biofuel industry is still in the early stages, primarily due to low productivity and high production costs. To address these challenges, researchers are actively exploring innovative methods to enhance biomass, concurrently increasing lipid and carbohydrate content. This review paper discusses the unique attributes of microalgae that make them attractive candidates for biofuel production. Advancements in cultivation techniques, such as photobioreactor design, co-cultivation strategies (microalgae-microalgae, microalgae-bacteria, and microalgae-fungi), and the optimization of nutrient conditions (carbon, nitrogen, and phosphorus) as well as environmental factors (salinity, light, and temperature) were explored to enhance biomass and lipid productivity. Furthermore, genetic engineering tools (genetic elements, gene interference, genome editing, and genome reconstruction) and omics technologies (genomics, transcriptomics, and proteomics) were discussed to gain a deeper understanding of microalgal lipid synthesis metabolism. The application of these techniques in microalgae facilitates enhanced lipid productivity, improved stress tolerance, optimized carbon sequestration and utilization, and reduced harvesting and processing costs. The study also delves into the decision-making process related to software selection, with the overarching goal of improving performance, profitability, and sustainability while mitigating risks, operational costs, and environmental impacts. Additionally, this review highlights future perspectives on large-scale microalgal biofuel production and its industry.

分类号：

  • 相关文献

[1]Application of omics technology in the research on edible fungi. Cao L.,Zhang Q.,Miao R.,Lin J.,Feng R.,Ni Y.,Li W.,Yang D.,Zhao X.. 2023

[2]Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement. Huan Li,Muhammad Tahir ul Qamar,Li Yang,Junchao Liang,Jun You,Linhai Wang. 2023

[3]Editorial: Genetically deciphering the adaptive growth and development of photosynthetic organisms: a holistic omics approach. Dongli He,Maoteng Li,Jiangxin Wang,Xin Wang. 2024

[4]Omics-assisted crop improvement under abiotic stress conditions. Raza, Ali,Gangurde, Sunil S.,Sandhu, Karansher Singh,Lv, Yan. 2024

[5]Research Status and Prospect of Burkholderia glumae, the Pathogen Causing Bacterial Panicle Blight. CUI Zhou-qi , ZHU Bo , XIE Guan-lin *, LI Bin , HUANG Shi-wen *. 2016

[6]Integrating genomics and transcriptomics to identify candidate genes for subcutaneous fat deposition in beef cattle. Lili Du,Keanning Li,Tianpeng Chang,Bingxing An,Mang Liang,Tianyu Deng,Sheng Cao,Yueying Du,Wentao Cai,Xue Gao,Lingyang Xu,Lupei Zhang,Junya Li,Huijiang Gao. 2022

[7]Editorial: Omics-driven crop improvement for stress tolerance. Qi W.,Chen J.,Han Y.,Li Z.,苏晓峰.,Yeo F.K.S.. 2023

[8]Plant Biochemistry in the Era of Omics: Integrated Omics Approaches to Unravel the Genetic Basis of Plant Stress Tolerance. Sarfraz, Zareen,Zarlashat, Yusra,Ambreen, Alia,Mujahid, Muhammad,Iqbal, Muhammad Sajid,Fatima, Syeda Akash,Iqbal, Muhammad Shahid,Iqbal, Rashid,Fiaz, Sajid. 2025

[9]Comparative genomic and transcriptomic analyses provide new insight into symbiotic host specificity. Songli Yuan,Piao Leng,Yong Feng,Fuxiao Jin,Hui Zhang,Chanjuan Zhang,Yi Huang,Zhihui Shan,Zhonglu Yang,Qingnan Hao,Shuilian Chen,Limiao Chen,Dong Cao,Wei Guo,Hongli Yang,Haifeng Chen,Xinan Zhou. 2024

[10]Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants. Ali Raza,Javaria Tabassum,Zainab Zahid,Sidra Charagh,Shanza Bashir,Rutwik Barmukh,Rao Sohail Ahmad Khan,Fernando Barbosa,Chong Zhang,Hua Chen,Weijian Zhuang,Rajeev K. Varshney. 2022

[11]Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data. Bai, Wenhui,Li, Cheng,Li, Wei,Wang, Hai,Han, Xiaohong,Wang, Peipei,Wang, Li. 2024

[12]Glucose restriction enhances oxidative fiber formation: A multi-omic signal network involving AMPK and CaMK2. Zhang K.,Xie N.,Ye H.,Miao J.,Xia B.,Yang Y.,Peng H.,Xu S.,Wu T.,Tao C.,Ruan J.,Wang Y.,Yang S.. 2024

[13]Review on Omics Approaches in Aquatic Animal Nutrition: Current Status, Limitations, and Perspectives. Zhang, Jian,Li, Ming,Meng, Delong,Xu, Shichang,Teame, Tsegay,Yao, Yuanyuan,Yang, Yalin,Zhang, Zhen,Ran, Chao,Jijakli, M. Haissam,Ding, Qianwen,Zhou, Zhigang. 2025

[14]Analyses of the Molecular Mechanisms Associated with Silk Production in Silkworm by iTRAQ-Based Proteomics and RNA-Sequencing-Based Transcriptomics. Wang, Shaohua,You, Zhengying,Che, Jiaqian,Zhang, Yuyu,Qian, Qiujie,Zhong, Boxiong,Feng, Mao,Komatsu, Setsuko.

[15]Soybean Omics and Biotechnology in China. Guo, Yong,Wang, Xiao-Bo,He, Wei,Zhou, Guo-An,Guo, Bing-Fu,Zhang, Le,Liu, Zhang-Xiong,Luo, Zhong-Qin,Wang, Li-Hui,Qiu, Li-Juan. 2011

[16]Multi-omics analyses of the effect of carbon ion beam irradiation on cannabis fructus (Cannabis sativa L.) composition. Xiaolu Wang,Jiayu Gu,Junsheng Fu,Chen Wang,Linshu Zhao,Huijun Guo,Hongchun Xiong,Yongdun Xie,Shirong Zhao,Yuping Ding,Libin Zhou,Zhengwu Fang,Luxiang Liu. 2023

[17]Transcriptomic analysis of salivary gland and proteomic analysis of oral secretion in Helicoverpa armigera under cotton plant leaves, gossypol, and tannin stresses. Shuaichao Zheng,Junyu Luo,Xiangzhen Zhu,Xueke Gao,Hongxia Hua,Jinjie Cui. 2022

[18]Global proteomic profiling of multiple organs of cats (Felis catus) and proteome-transcriptome correlation during acute Toxoplasma gondii infection. Lan Bi Nie,Wei Cong,Jun Jun He,Wen Bin Zheng,Xing Quan Zhu. 2022

[19]Transcriptomics and Proteomics of Haemonchus contortus in Response to Ivermectin Treatment. Yang Liu,Xiaomin Wang,Xiaoping Luo,Rui Wang,Bintao Zhai,Penglong Wang,Junyan Li,Xiaoye Yang. 2023

[20]Integration of transcriptomic and proteomic analyses of cold shock response in Kosmotoga olearia, a typical thermophile with an incredible minimum growth temperature at 20 degrees C. Li, Xia,Li, Dan,Ma, Shichun,Yang, Yi. 2022

作者其他论文 更多>>