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. 2024 Apr 1;19(4):e0300276.
doi: 10.1371/journal.pone.0300276. eCollection 2024.

Reproductive system, temperature, and genetic background effects in experimentally evolving populations of Caenorhabditis elegans

Affiliations

Reproductive system, temperature, and genetic background effects in experimentally evolving populations of Caenorhabditis elegans

Joanna K Baran et al. PLoS One. .

Abstract

Experimental evolution (EE) is a powerful research framework for gaining insights into many biological questions, including the evolution of reproductive systems. We designed a long-term and highly replicated EE project using the nematode C. elegans, with the main aim of investigating the impact of reproductive system on adaptation and diversification under environmental challenge. From the laboratory-adapted strain N2, we derived isogenic lines and introgressed the fog-2(q71) mutation, which changes the reproductive system from nearly exclusive selfing to obligatory outcrossing, independently into 3 of them. This way, we obtained 3 pairs of isogenic ancestral populations differing in reproductive system; from these, we derived replicate EE populations and let them evolve in either novel (increased temperature) or control conditions for over 100 generations. Subsequently, fitness of both EE and ancestral populations was assayed under the increased temperature conditions. Importantly, each population was assayed in 2-4 independent blocks, allowing us to gain insight into the reproducibility of fitness scores. We expected to find upward fitness divergence, compared to ancestors, in populations which had evolved in this treatment, particularly in the outcrossing ones due to the benefits of genetic shuffling. However, our data did not support these predictions. The first major finding was very strong effect of replicate block on populations' fitness scores. This indicates that despite standardization procedures, some important environmental effects were varying among blocks, and possibly compounded by epigenetic inheritance. Our second key finding was that patterns of EE populations' divergence from ancestors differed among the ancestral isolines, suggesting that research conclusions derived for any particular genetic background should never be generalized without sampling a wider set of backgrounds. Overall, our results support the calls to pay more attention to biological variability when designing studies and interpreting their results, and to avoid over-generalizations of outcomes obtained for specific genetic and/or environmental conditions.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Creation of populations used in experimental evolution.
Fig 2
Fig 2. Preparation of populations seeded for fitness assays.
‘Focal population’ denotes one of our experimental populations, either EE or ancestral.
Fig 3
Fig 3. Estimation of offspring proportions in fitness assays.
Fig 4
Fig 4. Raw fitness scores (y axes) for all populations (x axes: Population IDs), color-coded by block ID (legend).
Isoline numbers are shown above the plots; population reproductive systems are shown in top title panels (ANC_ prefix denotes ancestral populations); EE populations’ temperature treatments are shown in lower title panels. Horizontal lines show mean values for relevant ancestral populations in each block.
Fig 5
Fig 5. Effect sizes with confidence intervals based on their sampling variances (calculated as described in Methods & S1 Appendix), separated by isoline and color-coded by reproductive system × EE temperature treatment group.
Frequency distributions of the effect sizes are shown in grey.
Fig 6
Fig 6. Predicted values, with confidence intervals, from the mixed model assessing the effects of reproductive system, temperature treatment, ancestral isoline, and their interactions (with population and block included as random variables), on evolving populations’ divergence from ancestors.
Fig 7
Fig 7. Effect sizes (measuring EE populations’ divergence from ancestors) plotted against the number of EE generations completed by the populations.

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Grants and funding

The current Funding Statement (National Science Centre, Poland, grants OPUS (2013/09/B/NZ8/03317) and Sonata Bis (UMO-2017/26/E/NZ8/00879) to Z.M.P.) is correct. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.