RevGenUK the next generation: establishing a TILLING boutique for a UK-based reverse genetics community resource
RevGenUK 下一代:为英国反向遗传学社区资源建立 TILLING 精品店
基本信息
- 批准号:BB/I026030/1
- 负责人:
- 金额:$ 23.93万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2012
- 资助国家:英国
- 起止时间:2012 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In an ever changing climate, we are constantly trying to improve crops to achieve more sustainable agricultural practices. To do this, we need to understand in great detail how plants grow and work. Genetics is a powerful tool for helping us to obtain such an understanding. Using it we are able to analyse the whole genetic make-up (the genome) of plants to discover all the genes required for them to develop and operate correctly. We can use this information to study variants that have a defect in a particular gene (or genes) in which we are interested. This helps us to understand how the gene works when it is operating normally and its role in the plant. Many species of plant have had their whole genome sequenced already, but there are still thousands of their genes whose role in the plant is not understood. To obtain plants that bear a defective gene we can treat seeds with a chemical or radiation that damages the DNA coding for that gene. The offspring from these treated seeds will bear a large number of defects in their genomes. By producing a large population of offspring we can make every gene in the genome bear a defect. The problem then is to find the plant in the population that has a defect in the gene in which you are interested. We have developed methods that can sort out defective genes of interest and find the plants that contain them, so we can find out the role of the gene. This whole process is known as reverse genetics. No one chemical or physical means can induce all the defects we need to study particular genes so we need to use several different methods. In a previous project we set up a resource for the plant science research community so that they can discover the function of their particular genes of interest. We did this for legumes and brassicas (treated with chemicals) that contain plants bearing different forms of defective genes, but now we would like to do it for major UK cereal crops to help both scientists and plant breeders. We have developed special methods based on high throughput machines (sequencers) that can detect the defects when compared to the normal gene. Now we wish to develop methods that will do this in a more efficient and cost-effective manner. Scientists can then send us information about the gene of interest, for example, a gene from oats or barley, and we can then look for defects in their specific gene in our populations of thousands of plants. We then send them seeds from the plant that they can grow to study the action of the defective gene in that plant. All the information that we gather about our plants and their thousand upon thousands of genes will be stored in a computer database that we have constructed especially for this project, although it will be written in such a way that others can use it as well. It will also be available to use on the worldwide web so that a scientist anywhere in the UK or the World can come and browse to see if the database contains information about their gene of interest. The reason for wanting to do this is to improve the ability of crop plants to grow in different environments, especially adverse ones, to improve the quality of our food, and to help the farmer work in a sustainable way using less added fertiliser and fewer herbicides and pesticides.
在不断变化的气候下,我们一直在努力改善农作物,以实现更可持续的农业实践。为此,我们需要详细了解植物如何生长和工作。遗传学是帮助我们获得这种理解的强大工具。使用它,我们能够分析植物的整个基因组成(基因组),以发现它们正确开发和运行所需的所有基因。我们可以使用这些信息来研究我们感兴趣的特定基因(或基因)缺陷的变体。这有助于我们了解基因正常工作及其在植物中的作用时的工作方式。许多植物已经对整个基因组进行了测序,但是仍然有成千上万的基因在植物中的作用尚不清楚。为了获得带有缺陷基因的植物,我们可以用化学或辐射治疗种子,该化学或辐射损坏编码该基因的DNA。这些处理过的种子的后代在其基因组中会有大量缺陷。通过产生大量的后代,我们可以使基因组中的每个基因都有缺陷。然后,问题是在您感兴趣的基因中找到存在缺陷的人群中的植物。我们开发了可以分解有缺陷的基因并找到包含它们的植物的方法,因此我们可以找出基因的作用。整个过程称为反向遗传学。没有一种化学或物理手段可以诱导我们研究特定基因所需的所有缺陷,因此我们需要使用几种不同的方法。在以前的项目中,我们为植物科学研究界建立了资源,以便他们可以发现其特定感兴趣基因的功能。我们是为豆类和胸腺(用化学物质处理)的,这些植物包含具有不同形式的有缺陷基因的植物,但是现在我们想为英国主要的谷物作物做到这一点,以帮助科学家和植物育种者。我们已经开发了基于高吞吐量机(测序仪)的特殊方法,这些方法可以检测到与正常基因相比的缺陷。现在,我们希望开发以更有效和成本效益的方式来实现此操作的方法。然后,科学家可以向我们发送有关感兴趣基因的信息,例如燕麦或大麦的基因,然后我们可以在数千种植物种群中寻找其特定基因中的缺陷。然后,我们将它们从植物中寄给他们,它们可以生长,以研究该植物中有缺陷的基因的作用。我们收集的有关植物及其成千上万个基因的所有信息都将存储在我们为该项目构建的计算机数据库中,尽管它将以其他人也可以使用它的方式编写。它也可以在全球网络上使用,以便英国或世界上任何地方的科学家都可以浏览以查看数据库是否包含有关其感兴趣基因的信息。想要这样做的原因是要提高作物植物在不同环境(尤其是不利环境)中生长的能力,以提高我们的食物质量,并帮助农民以可持续的方式使用较少添加的肥料和更少的除草剂和农药来帮助农民工作。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mario Caccamo其他文献
Mario Caccamo的其他文献
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{{ truncateString('Mario Caccamo', 18)}}的其他基金
Open Access Block Award 2023 - National Inst of Agricultural Botany
2023 年开放获取区块奖 - 国家农业植物研究所
- 批准号:
EP/Y530219/1 - 财政年份:2023
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
Open Access Block Award 2022 - National Inst of Agricultural Botany
2022 年开放获取区块奖 - 国家农业植物研究所
- 批准号:
EP/X527191/1 - 财政年份:2022
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
21ROMITIGATIONFUND National Institute of Agricultural Botany
21ROMITIGATIONFUND 国立农业植物研究所
- 批准号:
BB/W51066X/1 - 财政年份:2021
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
An evolutionary approach to optimising synthetic apomixis in cereal crops
优化谷类作物合成无融合生殖的进化方法
- 批准号:
BB/V016466/1 - 财政年份:2021
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
UK Crop Diversity Bioinformatics Resource
英国作物多样性生物信息学资源
- 批准号:
BB/S019669/1 - 财政年份:2019
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
Exploring genetic diversity of native Andean potatoes for an increased value crop
探索本土安第斯马铃薯的遗传多样性以提高作物价值
- 批准号:
BB/R021449/1 - 财政年份:2018
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
Sequencing and exploitation of the genetic diversity in Vietnamese native rice lines to serve research and breeding programs
对越南本土水稻品系的遗传多样性进行测序和利用,为研究和育种计划服务
- 批准号:
BB/N013735/1 - 财政年份:2016
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
Nanopore technologies for Septoria Surveillance
用于壳针孢监控的纳米孔技术
- 批准号:
BB/N021886/1 - 财政年份:2016
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
CerealsDB: A community resource for wheat genomics
CerealsDB:小麦基因组学社区资源
- 批准号:
BB/L024144/1 - 财政年份:2014
- 资助金额:
$ 23.93万 - 项目类别:
Research Grant
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