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Large-effect flowering time mutations reveal conditionally adaptive paths through fitness landscapes in Arabidopsis thaliana
- Source :
- Proceedings of the National Academy of Sciences of the United States of America, vol 116, iss 36
- Publication Year :
- 2019
- Publisher :
- Proceedings of the National Academy of Sciences, 2019.
-
Abstract
- Contrary to previous assumptions that most mutations are deleterious, there is increasing evidence for persistence of large-effect mutations in natural populations. A possible explanation for these observations is that mutant phenotypes and fitness may depend upon the specific environmental conditions to which a mutant is exposed. Here, we tested this hypothesis by growing large-effect flowering time mutants of Arabidopsis thaliana in multiple field sites and seasons to quantify their fitness effects in realistic natural conditions. By constructing environment-specific fitness landscapes based on flowering time and branching architecture, we observed that a subset of mutations increased fitness, but only in specific environments. These mutations increased fitness via different paths: through shifting flowering time, branching, or both. Branching was under stronger selection, but flowering time was more genetically variable, pointing to the importance of indirect selection on mutations through their pleiotropic effects on multiple phenotypes. Finally, mutations in hub genes with greater connectedness in their regulatory networks had greater effects on both phenotypes and fitness. Together, these findings indicate that large-effect mutations may persist in populations because they influence traits that are adaptive only under specific environmental conditions. Understanding their evolutionary dynamics therefore requires measuring their effects in multiple natural environments.
- Subjects :
- 0106 biological sciences
Genotype
fitness landscape
Fitness landscape
Mutant
Arabidopsis
Flowers
Biology
medicine.disease_cause
010603 evolutionary biology
01 natural sciences
03 medical and health sciences
Genetic
branching
medicine
Arabidopsis thaliana
Adaptation
Evolutionary dynamics
Selection
Genetic Association Studies
Selection (genetic algorithm)
030304 developmental biology
0303 health sciences
Mutation
Multidisciplinary
Natural selection
Gene Expression Profiling
Computational Biology
natural selection
flowering time
Biological
biology.organism_classification
Biological Evolution
Phenotype
Evolutionary biology
Seasons
Transcriptome
Subjects
Details
- ISSN :
- 10916490 and 00278424
- Volume :
- 116
- Database :
- OpenAIRE
- Journal :
- Proceedings of the National Academy of Sciences
- Accession number :
- edsair.doi.dedup.....aa8a916d8466e5763d5b4aa90c2a19e2
- Full Text :
- https://doi.org/10.1073/pnas.1902731116