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James JS, Dai J, Chew WL, Cai Y. The design and engineering of synthetic genomes. Nat Rev Genet 2025; 26:298-319. [PMID: 39506144 DOI: 10.1038/s41576-024-00786-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2024] [Indexed: 11/08/2024]
Abstract
Synthetic genomics seeks to design and construct entire genomes to mechanistically dissect fundamental questions of genome function and to engineer organisms for diverse applications, including bioproduction of high-value chemicals and biologics, advanced cell therapies, and stress-tolerant crops. Recent progress has been fuelled by advancements in DNA synthesis, assembly, delivery and editing. Computational innovations, such as the use of artificial intelligence to provide prediction of function, also provide increasing capabilities to guide synthetic genome design and construction. However, translating synthetic genome-scale projects from idea to implementation remains highly complex. Here, we aim to streamline this implementation process by comprehensively reviewing the strategies for design, construction, delivery, debugging and tailoring of synthetic genomes as well as their potential applications.
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Affiliation(s)
- Joshua S James
- Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Junbiao Dai
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wei Leong Chew
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Yizhi Cai
- Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
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2
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Villalba A, Smajdor A, Brassington I, Cutas D. Non-viable embryos created with synthetic DNA. Trends Biotechnol 2025:S0167-7799(25)00084-8. [PMID: 40133161 DOI: 10.1016/j.tibtech.2025.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2025] [Revised: 02/25/2025] [Accepted: 02/27/2025] [Indexed: 03/27/2025]
Abstract
It is plausible that in the future synthetic DNA (synDNA) technology could enable the creation of non-viable embryos for research, potentially bypassing ethical objections to embryo experimentation. This article explores how the technology might work, the ethical concerns it might mitigate, and the challenges that remain.
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Affiliation(s)
- Adrian Villalba
- Institut Cochin, CNRS, INSERM, Université Paris Cité, Paris, France; Department of Philosophy II, University of Granada, Granada, Spain.
| | | | - Iain Brassington
- CSEP/Department of Law, University of Manchester, Manchester, UK
| | - Daniela Cutas
- Department of Medical Ethics, Lund University, Lund, Sweden
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3
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Hayes BJ, Mahony TJ, Villiers K, Warburton C, Kemper KE, Dinglasan E, Robinson H, Powell O, Voss-Fels K, Godwin ID, Hickey LT. Potential approaches to create ultimate genotypes in crops and livestock. Nat Genet 2024; 56:2310-2317. [PMID: 39402155 DOI: 10.1038/s41588-024-01942-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 09/09/2024] [Indexed: 11/10/2024]
Abstract
Many thousands and, in some cases, millions of individuals from the major crop and livestock species have been genotyped and phenotyped for the purpose of genomic selection. 'Ultimate genotypes', in which the marker allele haplotypes with the most favorable effects on a target trait or traits in the population are combined together in silico, can be constructed from these datasets. Ultimate genotypes display up to six times the performance of the current best individuals in the population, as demonstrated for net profit in dairy cattle (incorporating a range of economic traits), yield in wheat and 100-seed weight in chickpea. However, current breeding strategies that aim to assemble ultimate genotypes through conventional crossing take many generations. As a hypothetical thought piece, here, we contemplate three future pathways for rapidly achieving ultimate genotypes: accelerated recombination with gene editing, direct editing of whole-genome haplotype sequences and synthetic biology.
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Affiliation(s)
- Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.
| | - Timothy J Mahony
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
| | - Kira Villiers
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
| | - Christie Warburton
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
| | - Kathryn E Kemper
- Institute for Molecular Biology, the University of Queensland, St Lucia, Queensland, Australia
| | - Eric Dinglasan
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
| | - Hannah Robinson
- Department of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany
| | - Owen Powell
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
| | - Kai Voss-Fels
- Department of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany
| | - Ian D Godwin
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia
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4
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Ye H, Luo G, Zheng Z, Li X, Cao J, Liu J, Dai J. Plant synthetic genomics: Big lessons from the little yeast. Cell Chem Biol 2024; 31:1745-1754. [PMID: 39214084 DOI: 10.1016/j.chembiol.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 07/11/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024]
Abstract
Yeast has been extensively studied and engineered due to its genetic amenability. Projects like Sc2.0 and Sc3.0 have demonstrated the feasibility of constructing synthetic yeast genomes, yielding promising results in both research and industrial applications. In contrast, plant synthetic genomics has faced challenges due to the complexity of plant genomes. However, recent advancements of the project SynMoss, utilizing the model moss plant Physcomitrium patens, offer opportunities for plant synthetic genomics. The shared characteristics between P. patens and yeast, such as high homologous recombination rates and dominant haploid life cycle, enable researchers to manipulate P. patens genomes similarly, opening promising avenues for research and application in plant synthetic biology. In conclusion, harnessing insights from yeast synthetic genomics and applying them to plants, with P. patens as a breakthrough, shows great potential for revolutionizing plant synthetic genomics.
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Affiliation(s)
- Hao Ye
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Guangyu Luo
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhenwu Zheng
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Xiaofang Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Jie Cao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Jia Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Junbiao Dai
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
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5
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Du F, Dai J, Jiao Y. Insights into a functional synthetic plant genome. THE NEW PHYTOLOGIST 2024; 244:46-50. [PMID: 39160666 DOI: 10.1111/nph.19979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 07/01/2024] [Indexed: 08/21/2024]
Abstract
Synthetic genomics involves the design, assembly, and transfer of artificially synthesized DNA fragments into target hosts to replace the native genome and construct viable forms of life. With advances in DNA synthesis and assembly techniques, the application of synthetic genomics in viruses, bacteria, and yeast has improved our knowledge of genome organization and function. Multicellular eukaryotic organisms are characterized by larger genomes, more complex epigenetic regulation, and widespread transposable elements, making genome synthesis challenging. Recently, the first synthetic multicellular eukaryotic organism was generated in the model plant Physcomitrium patens with a partially synthetic chromosome arm. Here, we introduce the design and assembly principles of moss genome synthesis. We also discuss the remaining technical barriers in the application of synthetic genomics in seed plants.
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Affiliation(s)
- Fei Du
- Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Junbiao Dai
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yuling Jiao
- State Key Laboratory for Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
- Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong, 261325, China
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6
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Dawe RK. Engineering better artificial chromosomes. Science 2024; 383:1292-1293. [PMID: 38513045 DOI: 10.1126/science.ado4328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Constructing human artificial chromosomes in yeast avoids unintended multimerization.
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Affiliation(s)
- R Kelly Dawe
- Department of Genetics, University of Georgia, Athens, GA, USA
- Department of Plant Biology, University of Georgia, Athens, GA, USA
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