Emily Lowry, Yiqing Wang, Tal Dagan, Amir Mitchell
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引用次数: 0
摘要
大肠杆菌毒素主要由 B2 系统群的大肠杆菌菌株产生,可交联 DNA 并诱发人类宿主的结肠癌。我们研究了这种毒素对大肠杆菌生产者以及与生产者细胞共培养的细菌的影响。通过全基因组遗传筛选和突变累积实验,我们发现了减轻大肠杆菌毒素损伤的细胞通路,并揭示了其诱导的特定突变。我们发现,正如在人类结肠细胞中观察到的那样,虽然可乐菌素以富含 A/T 的基序为目标,但它会诱导一种细菌特有的突变模式。根据这种模式,我们预测长期暴露于 colibactin 将最终导致三核苷酸组成的基因组偏差。我们通过分析数以千计的大肠杆菌基因组验证了这一预测,发现产生可乐菌素的菌株确实在三核苷酸组成方面表现出预测的偏斜。我们的工作揭示了一种细菌特异性突变模式,并表明在可乐菌素致病性岛上编码的抗性蛋白不足以防止自身造成的 DNA 损伤。
Colibactin leads to a bacteria-specific mutation pattern and self-inflicted DNA damage
Colibactin produced primarily by Escherichia coli strains of the B2 phylogroup crosslinks DNA and can promote colon cancer in human hosts. We investigated the toxin's impact on colibactin producers and on bacteria co-cultured with producing cells. Using genome-wide genetic screens and mutation accumulation experiments we uncovered the cellular pathways that mitigate colibactin damage and revealed the specific mutations it induces. We discovered that while colibactin targets A/T rich motifs, as observed in human colon cells, it induces a bacteria-unique mutation pattern. Based on this pattern, we predicted that long-term colibactin exposure will culminate in a genomic bias in trinucleotide composition. We tested this prediction by analyzing thousands of E. coli genomes and found that colibactin-producing strains indeed show the predicted skewness in trinucleotide composition. Our work revealed a bacteria-specific mutation pattern and suggests that the resistance protein encoded on the colibactin pathogenicity island is insufficient in preventing self-inflicted DNA damage.
期刊介绍:
Launched in 1995, Genome Research is an international, continuously published, peer-reviewed journal that focuses on research that provides novel insights into the genome biology of all organisms, including advances in genomic medicine.
Among the topics considered by the journal are genome structure and function, comparative genomics, molecular evolution, genome-scale quantitative and population genetics, proteomics, epigenomics, and systems biology. The journal also features exciting gene discoveries and reports of cutting-edge computational biology and high-throughput methodologies.
New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are presented electronically on the journal''s web site where appropriate. The journal also provides Reviews, Perspectives, and Insight/Outlook articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context.