The rate, spectrum, and biases of mutations represent a fundamental force shaping biological evolution. Convention often attributes oxidative DNA damage as a major driver of spontaneous mutations. Yet, despite the contribution of oxygen to mutagenesis and the ecological, industrial, and biomedical importance of anaerobic organisms, relatively little is known about the mutation rates and spectra of anaerobic species. Here, we present the rates and spectra of spontaneous mutations assessed anaerobically over 1000 generations for three fermentative lactic acid bacteria species with varying levels of aerotolerance: Lactobacillus acidophilus, Lactobacillus crispatus, and Lactococcus lactis. Our findings reveal highly elevated mutation rates compared to the average rates observed in aerobically respiring bacteria with mutations strongly biased towards transitions, emphasizing the prevalence of spontaneous deamination in these anaerobic species and highlighting the inherent fragility of purines even under conditions that minimize oxidative stress. Beyond these overarching patterns, we identify several novel mutation dynamics: positional mutation bias around the origin of replication in Lb. acidophilus, a significant disparity between observed and equilibrium GC content in Lc. lactis, and repeated independent deletions of spacer sequences from within the CRISPR locus in Lb. crispatus providing mechanistic insights into the evolution of bacterial adaptive immunity. Overall, our study provides new insights into the mutational landscape of anaerobes, revealing how non-oxygenic factors shape mutation rates and influence genome evolution.
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http://dx.doi.org/10.1101/2025.02.28.639667 | DOI Listing |
Cancer Manag Res
March 2025
Department of internal medicine, King Hussein Cancer Center, Amman, Jordan.
Background And Aim: Ovarian metastasis occurs in 3-5% of patients with CRC. Ovaries are considered sanctuary sites and typically do not respond effectively to chemotherapy. Patients with KRAS mutation generally have a worse prognosis compared to those with KRAS wild type.
View Article and Find Full Text PDFHeliyon
February 2025
Genetics and Molecular Biology branch, Department of Zoology, University of Dhaka, Dhaka, 1000, Bangladesh.
Budding yeast, is an ideal model organism for genetic research due to its similarity in life cycle and cellular structure to higher eukaryotes as well as its ease of cultivation and manipulation in the laboratory. Yeast cells benefit from being cultured in calorie-restricted media, which can be achieved by reducing glucose concentration from 2 % to 0.5 %.
View Article and Find Full Text PDFOncol Lett
April 2025
Division of Thoracic Medicine, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan 33305, Taiwan, R.O.C.
Currently, the clinical outcomes of patients with epidermal growth factor receptor ()-mutated non-small cell lung cancer (NSCLC) with baseline brain metastasis receiving first- and second-generation EGFR-tyrosine kinase inhibitors (TKIs) are not clear. The present study aimed to assess the clinical outcomes of patients with EGFR-mutated NSCLC with baseline brain metastasis who received first-line first- and second-generation EGFR-TKIs. In the present study, a retrospective analysis of clinical charts was performed to investigate first- and second-generation EGFR-TKIs in patients with -mutated NSCLC with baseline brain metastasis.
View Article and Find Full Text PDFFront Pharmacol
February 2025
Department of General Internal Medicine, Tianjin Hospital, Tianjin, China.
Background: is expressed in various tumors and leukemia cell lines. This study aims to explore the effect of in lung adenocarcinoma (LUAD).
Methods: The data on LUAD patients were collected from the Cancer Genome Atlas and Gene Expression Omnibus database.
Eur J Med Res
March 2025
Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Background: This study sought to establish a risk score signature based on disulfidptosis-related genes (DRGs) to predict the prognosis of hepatocellular carcinoma (HCC) patients.
Methods: The expression data of DRGs from the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) was analyzed to develop and validate a DRG prognostic signature (DRGPS). In vitro, experiments were conducted to explore DRG expressions and roles in HCC tissues and cell lines.
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