Allelic value in gene regulation-implications for gene editing

等位基因在基因调控中的价值——对基因编辑的启示

阅读:2

Abstract

BACKGROUND: Gene editing has emerged as the most precise trait modification tool in plant breeding. However, an understanding of what to target and in which genetic background to obtain the intended phenotype is still emerging. This perspective presents an analytical overview of traits targeted, particularly in tomato and rice, where extensive data on gene editing are available in the public domain. SCOPE: The available gene editing data on allelic values for a given molecular pathway in crops like tomato and rice are revisited. The phenotypes of edits generated across genetic backgrounds were assessed and compared with available resequencing and phenotypic data. The traits evaluated in the current perspective were de novo domestication, grain quality, fruit colour, yield-related traits and stress tolerance to check whether the data available give significant leads to address these traits via editing in other crops. The rationale for editing a particular gene lies in the understanding of the diverse alleles generated, and in this perspective we attempt to discern both the advancements made and the bottlenecks encountered. CONCLUSIONS: The effectiveness of gene editing relies significantly on the roles of alleles generated in regulating specific genetic pathways. It is essential to conduct functional validation of the targeted allele across multiple distinct genetic backgrounds to ascertain its utility. The influence an allele exerts on a given trait is contingent upon factors like the nature of the trait, the position of the gene within a given pathway, and the genetic background in which it has been/will be tested. This perspective highlights how editing has led to a range of phenotypic variations influenced by the genetic background, with certain lines achieving the desired phenotype alongside pleiotropic effects, whereas others do not manifest the expected phenotype. This challenge may be addressed by prioritizing the identification of the right candidate and specific motifs in the regulatory regions as potential targets rather than directly intervening in coding sequences.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。