Directed yeast genome evolution by controlled introduction of trans-chromosomic structural variations

染色体易位 染色体反转 结构变异 酵母人工染色体 生物 基因组 染色体重排 表型 遗传学 染色体 断点 计算生物学 基因 进化生物学 核型 基因定位
作者
Bin Jia,Jin Jin,Mingzhe Han,Bing‐Zhi Li,Ying‐Jin Yuan
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:5
标识
DOI:10.1101/2021.07.26.453910
摘要

ABSTRACT Naturally occurring structural variations (SVs) are a considerable source of genomic variation and can reshape chromosomes 3D architecture. The synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) system has been proved to generate random SVs to impact phenotypes and thus constitutes powerful drivers of directed genome evolution. However, how to reveal the molecular mechanism insights into the interactions between phenotypes and complex SVs, especially inversions and translocations, has so far remained challenging. In this study, we develop a SV-prone yeast strain by using SCRaMbLE with two synthetic chromosomes, synV and synX. An heterologous biosynthesis pathway allowing a high throughput screen for increased yield of astaxanthin is used as readout and a proof of concept for the application of SV in industry. We report here that complex SVs, including a pericentric inversion and a trans-chromosomes translocation between synV and synX, result in two neochromosomes and a 2.7-fold yield of astaxanthin. We demonstrated that inversion and inversion reshaped chromosomes 3D architecture and led to large reorganization of the genetic information nearby the breakpoint of the SVs along the chromosomes. Specifically, the pericentric inversion increased the expression of STE18 and the trans-chromosomic translocation increased the expression of RPS5 and MCM22, which contributed to higher astaxanthin yield. We also used the model learned from the aforementioned random screen and successfully harnessed the precise introduction of trans-chromosomes translocation and pericentric inversions by rational design. Overall, our work provides an effective tool to not only accelerate the directed genome evolution but also reveal mechanistic insight of complex SVs for altering phenotypes.
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