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Geiler-Samerotte, K.

Publications and source records attributed to Geiler-Samerotte, K..

2 recordsLinked to original sources

A genotype-phenotype-fitness map reveals local modularity and global pleiotropy of adaptation

Building a genotype-phenotype-fitness map of adaptation is a central goal in evolutionary biology. It is notoriously difficult even when the adaptive mutations are known because it is hard to enumerate which phenotypes make these mutations adaptive. We address this problem by first quantifying how the fitness of hundreds of adaptive yeast mutants responds to subtle environmental shifts and then modeling the number of phenotypes they must collectively influence by decomposing these patterns of fitness variation. We find that a small number of phenotypes predicts fitness of the adaptive mutations near their original glucose-limited evolution condition. Importantly, phenotypes that matter little to fitness at or near the evolution condition can matter strongly in distant environments. This suggests that adaptive mutations are locally modular--affecting a small number of phenotypes that matter to fitness in the environment where they evolved--yet globally pleiotropic--affecting additional phenotypes that may reduce or improve fitness in new environments.

evolutionary biology

The complete genome sequence of the Staphylococcus bacteriophage Metroid

Phages infecting bacteria of the genus Staphylococcus play an important role in their hosts ecology and evolution. On one hand, horizontal gene transfer from phage can encourage the rapid adaptation of pathogenic Staphylococcus enabling them to escape host immunity or access novel environments. On the other hand, lytic phages are promising agents for the treatment of bacterial infections, especially those resistant to antibiotics. As part of an ongoing effort to gain novel insights into bacteriophage diversity, we characterized the complete genome of the Staphylococcus bacteriophage Metroid, a cluster C phage with a genome size of 151kb, encompassing 254 predicted protein-coding genes as well as 4 tRNAs. A comparative genomic analysis highlights strong similarities - including a conservation of the lysis cassette - with other Staphylococcus cluster C1 bacteriophages, several of which were previously characterized for therapeutic applications.

genomics