14 ERA-CAPS_Simultaneous manipulation of source and sink metabolism for improved crop yield
14 ERA-CAPS_同时调控源库代谢以提高作物产量
基本信息
- 批准号:BB/N010191/1
- 负责人:
- 金额:$ 45.44万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The capacity of the metabolic networks of different plant tissues is a key determinant of the yield of crop plants. Of particular importance is the capacity to assimilate environmental carbon (CO2) and nitrogen (NO3), the capacity to transport the resultant sugars and amino acids to the sink tissues (such as tubers, fruits and seeds) and the capacity of the sink tissues to convert the incoming sugars and amino acids into storage compounds. There is a great deal of interest in increasing the capacity or efficiency of these metabolic and transport processes by genetic engineering. Many of the current research consortia working in this area are focussing on the initial processes responsible for carbon and nitrogen assimilation in the source tissues. However, it is clear both on theoretical grounds and from experimental evidence that whole plant fluxes of carbon and nitrogen are co-limited by the metabolic capacities of both source and sink tissues. This is especially true if the source capacity is increased: control will inevitably shift to the sink tissues, the metabolism of which will therefore severely limit the yield potential of an engineered crop.In this project, we will implement a metabolic engineering strategy of unprecedented scale in plants. Not only will we engineer both source and sink tissues, but we will target multiple metabolic and transport processes in each in an attempt to remove flux bottlenecks from across the metabolic network. The project will exploit the new technique of biolistic combinatorial co-transformation which allows the stable integration of an unlimited number of transgenes into a single locus in any plant amenable to biolistic transformation of the nuclear genome. Based on prior knowledge, we have identified 18 transgene targets which will be introduced into tomato plants. We will generate a large library of up to 200 transgenic lines and these will be screened for fruit yield, with the expectation of achieving a step-change in yield in comparison to the introduction of small numbers of transgenes modifying just source or sink. In addition, the project will undertake extensive research to identify additional metabolic bottlenecks (by comparison of metabolic network fluxes and enzyme activities), to identify transporters involved in fruit nitrogen allocationand to identify strong genetic alleles for harvest index and fruit nitrogen content (based on analysis of tomato introgression populations). This research will provide additional targets which will be super-transformed into the best performing transgenic line to assess the scope for even further yield increases.
不同植物组织的代谢网络的容量是作物植物产量的关键决定因素。尤其重要的是能够吸收环境碳(CO2)和氮(NO3),将所得的糖和氨基酸运输到水槽组织(例如块茎,水果和种子)的能力,以及水槽组织的能力,可以将糖和氨基酸转化为储存化合物。通过基因工程提高这些代谢和运输过程的能力或效率,人们非常感兴趣。当前在该领域工作的许多研究财团都集中在源组织中碳和氮同化的初始过程上。然而,从理论上讲,从实验证据中很明显,碳和氮的整个植物通量都是由源和水槽组织的代谢能力共限制的。如果源容量增加,则尤其如此:控制不可避免地会转移到水槽组织,因此,其代谢将严重限制工程作物的产量潜力。在该项目中,我们将实施一种植物中前所未有的规模的代谢工程策略。我们不仅会设计源组织和下沉组织,而且还将针对每个组织中的多种代谢和运输过程,以试图从代谢网络中清除通量瓶颈。该项目将利用生物学组合共同转化的新技术,该技术允许将无限数量的转基因稳定地整合到任何植物中的单个基因座中,以使核基因组的生物化转化。根据先验知识,我们已经确定了18个转基因靶标,这些靶标将引入番茄植物。我们将生成一个最多200种转基因线的大型库,这些库将被筛选以取得果实的产量,并且与引入少量的trans基机仅修改源或水槽的少量转基因相比,产量的逐步变化。此外,该项目将进行广泛的研究,以确定其他代谢瓶颈(通过比较代谢网络通量和酶活性),以识别参与水果氮分配的转运蛋白,以鉴定出收获指数和水果氮含量的强遗传等位基因(基于对番茄侵入量的分析))。这项研究将提供其他目标,这些目标将被超级转换为最佳性能的转基因线,以评估进一步增加产量的范围。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Multi-gene metabolic engineering of tomato plants results in increased fruit yield up to 23%.
- DOI:10.1038/s41598-020-73709-6
- 发表时间:2020-10-14
- 期刊:
- 影响因子:4.6
- 作者:Vallarino JG;Kubiszewski-Jakubiak S;Ruf S;Rößner M;Timm S;Bauwe H;Carrari F;Rentsch D;Bock R;Sweetlove LJ;Fernie AR
- 通讯作者:Fernie AR
Engineering central metabolism – a grand challenge for plant biologists
- DOI:10.1111/tpj.13464
- 发表时间:2017-05
- 期刊:
- 影响因子:0
- 作者:L. Sweetlove;J. Nielsen;A. Fernie
- 通讯作者:L. Sweetlove;J. Nielsen;A. Fernie
A Solanum neorickii introgression population providing a powerful complement to the extensively characterized Solanum pennellii population.
- DOI:10.1111/tpj.14095
- 发表时间:2019-01
- 期刊:
- 影响因子:0
- 作者:Brog YM;Osorio S;Yichie Y;Alseekh S;Bensal E;Kochevenko A;Zamir D;Fernie AR
- 通讯作者:Fernie AR
Computational analysis of the productivity potential of CAM
- DOI:10.1038/s41477-018-0112-2
- 发表时间:2018-03-01
- 期刊:
- 影响因子:18
- 作者:Shameer, Sanu;Baghalian, Kambiz;Sweetlove, Lee J.
- 通讯作者:Sweetlove, Lee J.
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Lee Sweetlove其他文献
Lee Sweetlove的其他文献
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{{ truncateString('Lee Sweetlove', 18)}}的其他基金
A universal pipeline for genetically-encoded fluorescent biosensor production
用于基因编码荧光生物传感器生产的通用管道
- 批准号:
BB/K01353X/1 - 财政年份:2013
- 资助金额:
$ 45.44万 - 项目类别:
Research Grant
Tonoplast transport as a determinant of tomato fruit chemical composition
液泡膜运输是番茄果实化学成分的决定因素
- 批准号:
BB/H00338X/1 - 财政年份:2010
- 资助金额:
$ 45.44万 - 项目类别:
Research Grant
Fruit Integrative Modelling (FRIM)
水果综合建模(FRIM)
- 批准号:
BB/I004653/1 - 财政年份:2010
- 资助金额:
$ 45.44万 - 项目类别:
Research Grant
Elucidating the OXI1 stress signalling network
阐明 OXI1 应激信号网络
- 批准号:
BB/E00749X/1 - 财政年份:2007
- 资助金额:
$ 45.44万 - 项目类别:
Research Grant
Regulation of the plant metabolic network during stress
胁迫期间植物代谢网络的调节
- 批准号:
BB/E024742/1 - 财政年份:2007
- 资助金额:
$ 45.44万 - 项目类别:
Research Grant
A genome-scale model of Arabidopsis metabolism
拟南芥代谢的基因组规模模型
- 批准号:
BB/E002323/1 - 财政年份:2006
- 资助金额:
$ 45.44万 - 项目类别:
Research Grant
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