Journal: Evolution

Abbreviation

Evolution

Publisher

Springer

Journal Volumes

ISSN

0014-3820
1558-5646

Description

Filters

2017 - 20194
Reset filters

Search Results

Publications 1 - 4 of 4
  • Evolutionary costs and benefits of infection with diverse strains of Spiroplasma in pea aphids*
    Item type: Journal Article
    Mathé-Hubert, Hugo; Kaech, Heidi; Ganesanandamoorthy, Pravin; et al. (2019)
    Evolution
  • Parasitoid gene expression changes after adaptation to symbiont-protected hosts
    Item type: Journal Article
    Dennis, Alice B.; Patel, Vilas; Oliver, Kerry M.; et al. (2017)
    Evolution
  • Individual- versus group-optimality in the production of secreted bacterial compounds
    Item type: Journal Article
    Schiessl, Konstanze T.; Ross-Gillespie, Adin; Cornforth, Daniel M.; et al. (2019)
    Evolution
    How unicellular organisms optimize the production of compounds is a fundamental biological question. While it is typically thought that production is optimized at the individual-cell level, secreted compounds could also allow for optimization at the group level, leading to a division of labor where a subset of cells produces and shares the compound with everyone. Using mathematical modeling, we show that the evolution of such division of labor depends on the cost function of compound production. Specifically, for any trait with saturating benefits, linear costs promote the evolution of uniform production levels across cells. Conversely, production costs that diminish with higher output levels favor the evolution of specialization–especially when compound shareability is high. When experimentally testing these predictions with pyoverdine, a secreted iron-scavenging compound produced by Pseudomonas aeruginosa, we found linear costs and, consistent with our model, detected uniform pyoverdine production levels across cells. We conclude that for shared compounds with saturating benefits, the evolution of division of labor is facilitated by a diminishing cost function. More generally, we note that shifts in the level of selection from individuals to groups do not solely require cooperation, but critically depend on mechanistic factors, including the distribution of compound synthesis costs.
  • The architecture of an empirical genotype-phenotype map
    Item type: Journal Article
    Aguilar-Rodríguez, José; Peel, Leto; Stella, Massimo; et al. (2018)
    Evolution
    Recent advances in high‐throughput technologies are bringing the study of empirical genotype‐phenotype (GP) maps to the fore. Here, we use data from protein‐binding microarrays to study an empirical GP map of transcription factor (TF) ‐binding preferences. In this map, each genotype is a DNA sequence. The phenotype of this DNA sequence is its ability to bind one or more TFs. We study this GP map using genotype networks, in which nodes represent genotypes with the same phenotype, and edges connect nodes if their genotypes differ by a single small mutation. We describe the structure and arrangement of genotype networks within the space of all possible binding sites for 525 TFs from three eukaryotic species encompassing three kingdoms of life (animal, plant, and fungi). We thus provide a high‐resolution depiction of the architecture of an empirical GP map. Among a number of findings, we show that these genotype networks are “small‐world” and assortative, and that they ubiquitously overlap and interface with one another. We also use polymorphism data from Arabidopsis thaliana to show how genotype network structure influences the evolution of TF‐binding sites in vivo. We discuss our findings in the context of regulatory evolution.
Publications 1 - 4 of 4