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Liu M, Yu L, Zheng J, Shao S, Pan Y, Hu H, Shen L, Wang W, Zhou W, Liu J. Turning the industrially relevant marine alga Nannochloropsis red: one move for multifaceted benefits. THE NEW PHYTOLOGIST 2024. [PMID: 39253772 DOI: 10.1111/nph.20114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 08/20/2024] [Indexed: 09/11/2024]
Abstract
Nannochloropsis oceanica is an industrially relevant marine microalga rich in eicosapentaenoic acid (EPA, a valuable ω-3 polyunsaturated fatty acid), yet the algal production potential remains to be unlocked. Here we engineered N. oceanica to synthesize the high-value carotenoid astaxanthin independent of high-light (HL) induction for achieving multifaceted benefits. By screening β-carotenoid ketolases and hydroxylases of various origins, and strategically manipulating compartmentalization, fusion patterns, and linkers of the enzyme pair, a remarkable 133-fold increase in astaxanthin content was achieved in N. oceanica. Iterative metabolic engineering efforts led to further increases in astaxanthin synthesis up to 7.3 mg g-1, the highest reported for microalgae under nonstress conditions. Astaxanthin was found in the photosystem components and allowed the alga HL resistance and augmented EPA production. Besides, we achieved co-production of astaxanthin and EPA by the engineered alga through a fed-batch cultivation approach. Our findings unveil the untapped potential of N. oceanica as a robust, light-driven chassis for constitutive astaxanthin synthesis and provide feasible strategies for the concurrent production of multiple high-value biochemicals from CO2, thereby paving the way for sustainable biotechnological applications of this alga.
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Affiliation(s)
- Meijing Liu
- Engineering Research Center of Watershed Carbon Neutrality of Ministry of Education, and Center for Algae Innovation & Engineering Research, School of Resources and Environment, Nanchang University, Nanchang, 330031, China
- Laboratory for Algae Biotechnology & Innovation, College of Engineering, Peking University, Beijing, 100871, China
| | - Lihua Yu
- Laboratory for Algae Biotechnology & Innovation, College of Engineering, Peking University, Beijing, 100871, China
| | - Jie Zheng
- Engineering Research Center of Watershed Carbon Neutrality of Ministry of Education, and Center for Algae Innovation & Engineering Research, School of Resources and Environment, Nanchang University, Nanchang, 330031, China
| | - Shengxi Shao
- Engineering Research Center of Watershed Carbon Neutrality of Ministry of Education, and Center for Algae Innovation & Engineering Research, School of Resources and Environment, Nanchang University, Nanchang, 330031, China
| | - Yufang Pan
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Hanhua Hu
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Lili Shen
- Photosynthesis Research Center, Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Science, Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Wenda Wang
- Photosynthesis Research Center, Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Science, Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Wenguang Zhou
- Engineering Research Center of Watershed Carbon Neutrality of Ministry of Education, and Center for Algae Innovation & Engineering Research, School of Resources and Environment, Nanchang University, Nanchang, 330031, China
| | - Jin Liu
- Engineering Research Center of Watershed Carbon Neutrality of Ministry of Education, and Center for Algae Innovation & Engineering Research, School of Resources and Environment, Nanchang University, Nanchang, 330031, China
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Mazumder AK, Yadav R, Kumar M, Babu P, Kumar N, Singh SK, Solanke AU, Wani SH, Alalawy AI, Alasmari A, Gaikwad KB. Discovering novel genomic regions explaining adaptation of bread wheat to conservation agriculture through GWAS. Sci Rep 2024; 14:16351. [PMID: 39013994 PMCID: PMC11252282 DOI: 10.1038/s41598-024-66903-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 07/05/2024] [Indexed: 07/18/2024] Open
Abstract
To sustainably increase wheat yield to meet the growing world population's food demand in the face of climate change, Conservation Agriculture (CA) is a promising approach. Still, there is a lack of genomic studies investigating the genetic basis of crop adaptation to CA. To dissect the genetic architecture of 19 morpho-physiological traits that could be involved in the enhanced adaptation and performance of genotypes under CA, we performed GWAS to identify MTAs under four contrasting production regimes viz., conventional tillage timely sown (CTTS), conservation agriculture timely sown (CATS), conventional tillage late sown (CTLS) and conservation agriculture late sown (CALS) using an association panel of 183 advanced wheat breeding lines along with 5 checks. Traits like Phi2 (Quantum yield of photosystem II; CATS:0.37, CALS: 0.31), RC (Relative chlorophyll content; CATS:55.51, CALS: 54.47) and PS1 (Active photosystem I centers; CATS:2.45, CALS: 2.23) have higher mean values in CA compared to CT under both sowing times. GWAS identified 80 MTAs for the studied traits across four production environments. The phenotypic variation explained (PVE) by these QTNs ranged from 2.15 to 40.22%. Gene annotation provided highly informative SNPs associated with Phi2, NPQ (Quantum yield of non-photochemical quenching), PS1, and RC which were linked with genes that play crucial roles in the physiological adaptation under both CA and CT. A highly significant SNP AX94651261 (9.43% PVE) was identified to be associated with Phi2, while two SNP markers AX94730536 (30.90% PVE) and AX94683305 (16.99% PVE) were associated with NPQ. Identified QTNs upon validation can be used in marker-assisted breeding programs to develop CA adaptive genotypes.
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Affiliation(s)
- Amit Kumar Mazumder
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Rajbir Yadav
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Manjeet Kumar
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Prashanth Babu
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Naresh Kumar
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Sanjay Kumar Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | | | - Shabir H Wani
- Mountain Research Centre for Field Crops, Khudwani, 192101, India
- Sher-E-Kashmir University of Agricultural Sciences and Technology-Kashmir (SKUAST-K), Srinagar, Jammu-Kashmir, India
| | - Adel I Alalawy
- Department of Biochemistry, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia
| | - Abdulrahman Alasmari
- Department of Biology, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia
| | - Kiran B Gaikwad
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
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Mariam I, Bettiga M, Rova U, Christakopoulos P, Matsakas L, Patel A. Ameliorating microalgal OMEGA production using omics platforms. TRENDS IN PLANT SCIENCE 2024; 29:799-813. [PMID: 38350829 DOI: 10.1016/j.tplants.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/19/2023] [Accepted: 01/11/2024] [Indexed: 02/15/2024]
Abstract
Over the past decade, the focus on omega (ω)-3 fatty acids from microalgae has intensified due to their diverse health benefits. Bioprocess optimization has notably increased ω-3 fatty acid yields, yet understanding of the genetic architecture and metabolic pathways of high-yielding strains remains limited. Leveraging genomics, transcriptomics, proteomics, and metabolomics tools can provide vital system-level insights into native ω-3 fatty acid-producing microalgae, further boosting production. In this review, we explore 'omics' studies uncovering alternative pathways for ω-3 fatty acid synthesis and genome-wide regulation in response to cultivation parameters. We also emphasize potential targets to fine-tune in order to enhance yield. Despite progress, an integrated omics platform is essential to overcome current bottlenecks in optimizing the process for ω-3 fatty acid production from microalgae, advancing this crucial field.
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Affiliation(s)
- Iqra Mariam
- Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden
| | - Maurizio Bettiga
- Department of Life Sciences - LIFE, Division of Industrial Biotechnology, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden; Innovation Unit, Italbiotec Srl Società Benefit, Milan, Italy
| | - Ulrika Rova
- Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden
| | - Paul Christakopoulos
- Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden
| | - Leonidas Matsakas
- Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden
| | - Alok Patel
- Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden.
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