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

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.

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Publication Details

Journal
iScience
Published
2025-04-17
DOI
https://doi.org/10.1016/j.isci.2025.112484
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Yi‐Xin Huo, Lichao Sun, Jing Li, Yan Xia et al.
iScience
CRISPR and Genetic Engineering
article

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

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

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.

iScienceVol. 28(5)
Beijing Institute of Technology (CN), Tangshan College (CN), Beijing Haidian Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Beijing Institute of Technology, National Key Laboratory Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 93%
CRISPR and Genetic Engineering
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