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Spatial Vulnerabilities of the Escherichia coliGenome to Spontaneous Mutations Revealed with Improved Duplex Sequencing

Authors :
Zhang, Xiaolong
Zhang, Xuehong
Zhang, Xia
Liao, Yuwei
Song, Luyao
Zhang, Qingzheng
Li, Peiying
Tian, Jichao
Shao, Yanyan
AI-Dherasi, Aisha Mohammed
Li, Yulong
Liu, Ruimei
Chen, Tao
Deng, Xiaodi
Zhang, Yu
Lv, Dekang
Zhao, Jie
Chen, Jun
Li, Zhiguang
Source :
Genetics; October 2018, Vol. 210 Issue: 2 p547-558, 12p
Publication Year :
2018

Abstract

Investigation of spontaneous mutations by next-generation sequencing technology has attracted extensive attention lately due to the fundamental roles of spontaneous mutations in evolution and pathological processes. However, these studies only focused on the mutations accumulated through many generations during long-term (possibly be years of) culturing, but not the freshly generated mutations that occur at very low frequencies. In this study, we established a molecularly barcoded deep sequencing strategy to detect low abundant spontaneous mutations in genomes of bacteria cell cultures. Genome-wide spontaneous mutations in 15 Escherichia colicell culture samples were defined with a high confidence (P< 0.01). We also developed a hotspot-calling approach based on the run-length encoding algorithm to find the genomic regions that are vulnerable to the spontaneous mutations. The hotspots for the mutations appeared to be highly conserved across the bacteria samples. Further biological annotation of these regions indicated that most of the spontaneous mutations were located at the repeat domains or nonfunctional domains of the genomes, suggesting the existence of mechanisms that could somehow prevent the occurrence of mutations in crucial genic areas. This study provides a more faithful picture of mutation occurrence and spectra in a single expansion process without long-term culturing.

Details

Language :
English
ISSN :
00166731 and 19432631
Volume :
210
Issue :
2
Database :
Supplemental Index
Journal :
Genetics
Publication Type :
Periodical
Accession number :
ejs67651693
Full Text :
https://doi.org/10.1534/genetics.118.301345