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Purkanti, R.

Publications and source records attributed to Purkanti, R..

4 recordsLinked to original sources

Parallel but distinct adaptive routes in the budding and fission yeasts after 10,000 generations of experimental evolution

Quantitative genetics approaches designed to understand the evolution of traits have helped improve our understanding of the genetic basis of adaptation. However, they often overlook crucial aspects of adaptation, including the long-term temporal evolutionary dynamics, the predictability of evolutionary outcomes, the influence of past evolution on future evolutionary trajectories (contingency), and the diversity of molecular mechanisms underlying adaptation. Experimental evolution has been a useful tool for answering these questions, but extracting fundamental principles and predictive features of evolutionary outcomes from these datasets remains challenging due to the large number of covariates and confounding effects, such as differences in experimental setup, species lifestyle, gene content, and evolution rate. Here, we sought to circumvent these challenges by comparing distant yeast species that share several evolutionary features but differ mainly in evolutionary history and genome architecture, i.e. Saccharomyces cerevisiae and Schizosaccharomyces pombe. Thus, we evolved 10 populations of the fission yeast for 10,000 generations in the same conditions as a pre-existing budding yeast dataset (i.e. high-sugar media and hypoxic conditions), allowing us to observe repeatable evolutionary outcomes within species but diverse molecular mechanisms and targets of adaptation across species. The most frequent adapting route in these conditions involved upregulating fermentation genes and downregulating the glycolysis gene pyk1, which has not previously been observed in S. cerevisiae evolved populations or in wild Kluyveromyces lactis, but similar evolutionary paths have been observed in Schizosaccharomyces japonicus and in clinically relevant populations, such as some cancer cells. This suggests that parallelism is pervasive in the tree of life and that mechanisms of adaptation can be shared among closely related or distant species. Despite similar gene content and identical environments, recurrent adaptation across S. pombe populations involved different genes than in S. cerevisiae and was mostly detectable at the transcriptomic level. This suggests that trans-regulatory effects may play an important role in adaptation on short evolutionary timescales and that differences in evolutionary outcomes between these species may be attributed to contingency.

evolutionary biology↗

Local DNA compaction creates TF-DNA clusters that enable transcription

Transcription factor (TF) clusters have been suggested to facilitate transcription. The mechanisms driving the formation of TF clusters and their impact on transcription, however, remain largely unclear. This is mostly due to the lack of a tractable system. Here, we exploit the transcriptional activation of mir430 in zebrafish embryos to simultaneously follow the dynamic formation of a large Nanog cluster, the underlying DNA, and transcription output by live imaging at high temporal and spatial resolution. We find that the formation of a Nanog cluster that can support transcription requires local DNA compaction. This brings more Nanog-binding sites into the cluster, and therefore more Nanog. Importantly, we find that Nanog stabilizes this TF-DNA cluster, which emphasizes the interdependent relationship between TFs and DNA dynamics in cluster formation. Once the Nanog-DNA cluster at the mir430 locus reaches a maximum amount of Nanog, transcription begins. This maximum is a locus-intrinsic feature, which shows that the locus self-regulates the recruitment of an optimal amount of Nanog. Our study supports a model in which endogenous TF clusters positively impact transcription and form through a combination of DNA binding and local DNA compaction.

cell biology↗

Paralogous gene modules derived from ancient hybridization drive vesicle traffic evolution in yeast

Modules of interacting proteins regulate vesicle budding and fusion in eukaryotes. Distinct paralogous copies of these modules act at distinct sub-cellular locations. The processes by which such large gene modules are duplicated and retained remain unclear. Here we show that interspecies hybridization is a potent source of paralogous gene modules. We study the dynamics of paralog doublets derived from the 100-million-year-old hybridization event that gave rise to the whole genome duplication clade of budding yeast. We show that paralog doublets encoding vesicle traffic proteins are convergently retained across species. Vesicle coats and adaptors involved in secretory and early-endocytic pathways are retained as doublets, while tethers and other machinery involved in intra-Golgi traffic and later endocytic steps are reduced to singletons. These patterns reveal common selective pressures that have sculpted traffic pathways in diverse yeast species. They suggest that hybridization may have played a pivotal role in the expansion of the endomembrane system.

evolutionary biology↗

Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations

Laboratory experimental evolution provides a window into the details of the evolutionary process. To investigate the consequences of long-term adaptation, we evolved 205 S. cerevisiae populations (124 haploid and 81 diploid) for [~]10,000 generations in three environments. We measured the dynamics of fitness changes over time, finding repeatable patterns of declining adaptability. Sequencing revealed that this phenotypic adaptation is coupled with a steady accumulation of mutations, widespread genetic parallelism, and historical contingency. In contrast to long-term evolution in E. coli, we do not observe long-term coexistence or populations with highly elevated mutation rates. We find that evolution in diploid populations involves both fixation of heterozygous mutations and frequent loss-of-heterozygosity events. Together, these results help distinguish aspects of evolutionary dynamics that are likely to be general features of adaptation across many systems from those that are specific to individual organisms and environmental conditions.

evolutionary biology↗