Multivariate Phenotypic Divergence Due to the Fixation of Beneficial Mutations in Experimentally Evolved Lineages of a Filamentous Fungus

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Abstract

The potential for evolutionary change is limited by the availability of genetic variation. Mutations are the ultimate source of new alleles, yet there have been few experimental investigations of the role of novel mutations in multivariate phenotypic evolution. Here, we evaluated the degree of multivariate phenotypic divergence observed in a long-term evolution experiment whereby replicate lineages of the filamentous fungus Aspergillus nidulans were derived from a single genotype and allowed to fix novel (beneficial) mutations while maintained at two different population sizes. We asked three fundamental questions regarding phenotypic divergence following approximately 800 generations of adaptation: (1) whether divergence was limited by mutational supply, (2) whether divergence proceeded in relatively many (few) multivariate directions, and (3) to what degree phenotypic divergence scaled with changes in fitness (i.e. adaptation). We found no evidence that mutational supply limited phenotypic divergence. Divergence also occurred in all possible phenotypic directions, implying that pleiotropy was either weak or sufficiently variable among new mutations so as not to constrain the direction of multivariate evolution. The degree of total phenotypic divergence from the common ancestor was positively correlated with the extent of adaptation. These results are discussed in the context of the evolution of complex phenotypes through the input of adaptive mutations. © 2012 Schoustra et al.

Figures

  • Table 1. Pooled (across treatments) divergence (D)-matrix calculated from trait means, prior to variance-standardization, for 60 experimentally evolved lineages.
  • Table 2. Summary of the eigenanalysis of the D-matrix based on trait means for all evolved lineages (n = 60).
  • Figure 1. Observed dispersion of phenotypic means along the first two canonical axes (PC1 and PC2) of the pooled divergence matrix for small (left panel) and large (right panel) population size treatments. These two axes summarized approximately 74% (i.e. 43% and 31%) of the total phenotypic variation. doi:10.1371/journal.pone.0050305.g001
  • Table 3. Results of nested likelihood ratio tests assessing the effective dimensionality of the pooled D-matrix.
  • Figure 2. Bivariate plot of observed (loge) mean phenotypic distance versus adaptation for evolved lineages. Closed squares indicate data for the large population size treatment, open circles indicate those for the small population size treatment. The solid line indicates the major-axis regression for both treatments, pooled. The dashed lines give the major axis regressions for the two population size treatments separately; the small dashes for the small population size treatment, the large dashes for the large population size treatment. doi:10.1371/journal.pone.0050305.g002
  • Table 4. Results of Flury decomposition (CPCA) for tests of matrix similarity between divergence matrices derived from small and large population size treatments.

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CITATION STYLE

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Schoustra, S. E., Punzalan, D., Dali, R., Rundle, H. D., & Kassen, R. (2012). Multivariate Phenotypic Divergence Due to the Fixation of Beneficial Mutations in Experimentally Evolved Lineages of a Filamentous Fungus. PLoS ONE, 7(11). https://doi.org/10.1371/journal.pone.0050305

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