The Competitive Cost of Antibiotic Resistance in Mycobacterium tuberculosis

By S. Gagneux, C. D. Long, Peter M. Small, Tran Van, G. Schoolnik, B. Bohannan. Science, 2006

683 citations recorded by the source corpus.

Subfields: Epidemiology, Genetics, Infectious Diseases

View Paper: https://www.semanticscholar.org/paper/279da201949b86ee03423b7bb4b252617d5c59e1

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Citations in the corpus

• High Functional Diversity in Mycobacterium tuberculosis Driven by Genetic Drift and Human Demography (2008, neutral): “ring mutation and strain genetic background [63,64].”
• The fitness costs of antibiotic resistance mutations (2014, methodology): “A subset of data was used for this analysis because seven studies did not measure MIC (Schrag and Perott 1996; Criswell et al. 2006; Gagneux et al. 2006; Balsalobre and de la Campa 2008; Hao et al. 2009; Trindade et al. 2009; Borrell et al. 2013).”
• Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis (2015, neutral): “These were either mutations known to slow growth (S450L ( n ¼ 3) 33 , S450W ( n ¼ 1) 33,34 , Q432 ( n ¼ 1) 33,35 ), or overlap a 10 bp deletion affecting growth (Q429H ( n ¼ 1), L430P ( n ¼ 3) 36 ).”