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Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica.
Pan, Jiao; Li, Weiyi; Ni, Jiahao; Wu, Kun; Konigsberg, Iain; Rivera, Caitlyn E; Tincher, Clayton; Gregory, Colin; Zhou, Xia; Doak, Thomas G; Lee, Heewook; Wang, Yan; Gao, Xiang; Lynch, Michael; Long, Hongan.
Affiliation
  • Pan J; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, 5 Yushan Road, Qingdao, Shandong Province 266003, China.
  • Li W; Laboratory for Marine Biology and Biotechnology, Qingdao Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China.
  • Ni J; Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  • Wu K; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, 5 Yushan Road, Qingdao, Shandong Province 266003, China.
  • Konigsberg I; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, 5 Yushan Road, Qingdao, Shandong Province 266003, China.
  • Rivera CE; Division of Biomedical Informatics & Personalized Medicine, Department of Medicine, University of Colorado, Aurora, CO 80045, USA.
  • Tincher C; Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  • Gregory C; Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  • Zhou X; Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  • Doak TG; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, 5 Yushan Road, Qingdao, Shandong Province 266003, China.
  • Lee H; Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  • Wang Y; National Center for Genome Analysis Support, Indiana University, Bloomington, IN 47405, USA.
  • Gao X; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA.
  • Lynch M; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, 5 Yushan Road, Qingdao, Shandong Province 266003, China.
  • Long H; State Key Laboratory of Microbial Technology, Microbial Technology Institute, School of Life Science, Shandong University, No. 72 Binhai Road, Qingdao, Shandong Province 266237, China.
Mol Biol Evol ; 39(4)2022 04 10.
Article in En | MEDLINE | ID: mdl-35446958
ABSTRACT
Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages of 18 strains from various geographical sites, temporal spread, and genetic backgrounds. Entailing over ∼1.36 million generations, the resultant data yield an average mutation rate of ∼0.0005 per genome per generation, with a significant within-species variation. This is one of the lowest bacterial mutation rates reported, giving direct support for a high genome stability in this pathogen resulting from high DNA-mismatch-repair efficiency and replication-machinery fidelity. Pathogenicity genes do not exhibit an accelerated mutation rate, and thus, elevated mutation rates may not be the major determinant for the diversification of toxin and secretion systems. Intriguingly, a low error rate at the transcript level is not observed, suggesting distinct fidelity of the replication and transcription machinery. This study urges more attention on the most basic evolutionary processes of even the best-known human pathogens and deepens the understanding of their genome evolution.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Salmonella / Salmonella enterica Language: En Journal: Mol Biol Evol Journal subject: BIOLOGIA MOLECULAR Year: 2022 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Salmonella / Salmonella enterica Language: En Journal: Mol Biol Evol Journal subject: BIOLOGIA MOLECULAR Year: 2022 Type: Article Affiliation country: China