Background: Temperature is a major determinant of spontaneous mutation, but the precise mode, and the underlying mechanisms, of the temperature influences remain less clear. Here we used a mutation accumulation approach combined with whole-genome sequencing to investigate the temperature dependence of spontaneous mutation in an Escherichia coli strain. Experiments were performed under aerobic conditions at 25, 28 and 37 °C, three temperatures that were non-stressful for the bacterium but caused significantly different bacterial growth rates.
Results: Mutation rate did not differ between 25 and 28 °C, but was higher at 37 °C. Detailed analyses of the molecular spectrum of mutations were performed; and a particularly interesting finding is that higher temperature led to a bias of mutation to coding, relative to noncoding, DNA. Furthermore, the temperature response of mutation rate was extremely similar to that of metabolic rate, consistent with an idea that metabolic rate predicts mutation rate.
Conclusions: Temperature affects mutation rate and the types of mutation supply, both being crucial for the opportunity of natural selection. Our results help understand how temperature drives evolutionary speed of organisms and thus the global patterns of biodiversity. This study also lend support to the metabolic theory of ecology for linking metabolic rate and molecular evolution rate.
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http://dx.doi.org/10.1186/s12862-018-1252-8 | DOI Listing |
Am J Cancer Res
December 2024
Department of Hematology, Cancer Hospital Affiliated to Shanxi Medical University/Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences Taiyuan 030013, Shanxi, China.
Objective: To analyze the clinical characteristics and molecular biomarkers of adult T-cell lymphoblastic lymphoma (T-LBL) to identify prognostic factors, and to evaluate the efficacy of different chemotherapy regimens, providing a basis for optimizing treatment strategies for T-LBL.
Methods: A total of 89 Patients aged 18-72 years with T-LBL, confirmed via histopathological examination of lymph nodes, extranodal tissues, or bone marrow, were retrospectively included. Clinical data, treatment details, and mutational profiles were collected.
The distribution of fitness effects (DFE) characterizes the range of selection coefficients from which new mutations are sampled, and thus holds a fundamentally important role in evolutionary genomics. To date, DFE inference in primates has been largely restricted to haplorrhines, with limited data availability leaving the other suborder of primates, strepsirrhines, largely under-explored. To advance our understanding of the population genetics of this important taxonomic group, we here map exonic divergence in aye-ayes ( ) - the only extant member of the Daubentoniidae family of the Strepsirrhini suborder.
View Article and Find Full Text PDFJ Adv Pract Oncol
September 2024
Memorial Sloan Kettering Cancer Center, New York, New York.
The V600E mutation aberrantly activates the mitogen-activated protein kinase (MAPK) pathway, subsequently resulting in uncontrolled cellular proliferation, survival, and dedifferentiation. Approximately 2% of patients with non-small cell lung cancer (NSCLC) have a V600E mutation. BRAF and MEK inhibitor combination therapy targets two kinases within the MAPK pathway.
View Article and Find Full Text PDFObes Pillars
March 2025
Department of Nephrology, University of Oklahoma School of Community Medicine, 4502 E. 41st Street, Tulsa, OK, 74135, USA.
Background: Kinase D-interacting substrate of 220 kDa ("KIDINS220") is an integral plasma membrane protein essential to signaling throughout the body; abnormalities are linked to a variety of disorders, including obesity, but have never been directly linked to chronic- or end-stage renal disease.
Methods: Retrospective chart review identified patients with severe obesity who presented for pre-kidney transplant weight management. 20 individuals met criteria for testing for genetic causes of obesity.
Mol Biol Evol
January 2025
Department of Molecular Biology, Max Planck Institute for Biology Tübingen, 72076 Tübingen, Germany.
Plant cells have two major organelles with their own genomes: chloroplasts and mitochondria. While chloroplast genomes tend to be structurally conserved, the mitochondrial genomes of plants, which are much larger than those of animals, are characterized by complex structural variation. We introduce TIPPo, a user-friendly, reference-free assembly tool that uses PacBio high-fidelity long-read data and that does not rely on genomes from related species or nuclear genome information for the assembly of organellar genomes.
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