Chromosome-segment scanning for gain- or loss-of-function screening (CHASING)

Yan Xia, Lichao Sun, Zeyu Liang, Zhongrao Han, Jing Li, Pengyu Dong, Yi Xin Huo*, Shuyuan Guo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Identifying beneficial or functional mutations for a specific species is a task always relies on the labor-intensive construction of a library containing thousands of single-gene knockout or interference strains. Here, we systematically demonstrated that the task could be done by constructing a genome-scale library, designed by AutoGSL, containing a limited number of large fragment deletion strains. The loss-of- and gain-of-function phenotypes could be efficiently screened out by our chromosome-segment scanning, and the specific gene corresponding to an observed phenotype could be quickly identified and visualized by our computer-aided gene-annotation web tool. Additionally, a Clusters of Orthologous Gene Transformer learned representations were transferred to predict growth phenotypes of the genome-scale library under varying conditions. We further utilized our chromosome segment scanning for gain- or loss-of-function screening (CHASING) strategy to obtain acetoin- and lycopene-overproducing hosts. Our work highlighted the significance of CHASING in functional genomics investigation, robust chassis engineering, and chemical overproduction.

Original languageEnglish
Article number112484
JournaliScience
Volume28
Issue number5
DOIs
Publication statusPublished - 16 May 2025

Keywords

  • genomic library
  • sequence analysis

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