Data from: Prior evolution in stochastic versus constant temperatures affects RNA virus evolvability at a thermal extreme
Data files
Apr 27, 2021 version files 1.74 GB
Abstract
It is unclear how historical adaptation versus maladaptation in a prior environment affects population evolvability in a novel habitat. Prior work showed that vesicular stomatitis virus (VSV) populations evolved at Constant 37oC improved in cellular infection at both 29oC and 37oC; in contrast, those evolved under Random changing temperatures between 29oC and 37oC failed to improve. Here we tested whether prior evolution affected the rate of adaptation at the thermal-niche edge: 40oC. After 40 virus generations in the new environment, we observed that populations historically evolved at random temperatures showed greater adaptability. Deep sequencing revealed that most of the newly evolved mutations were de novo. Also, two novel evolved mutations in the VSV glycoprotein and replicase genes tended to co-occur in the populations previously evolved at Constant 37oC, whereas this parallelism was not seen in populations with prior Random-temperature evolution. These results suggest that prior adaptation under Constant versus Random temperatures constrained the mutation landscape that could improve fitness in the novel 40oC environment, perhaps owing to differing epistatic effects of new mutations entering genetic architectures that earlier diverged. We concluded that RNA viruses maladapted to their previous environment could ‘leapfrog’ over counterparts of higher fitness, to achieve faster adaptability in a novel environment.
Usage notes
Gloria-Soria_BAM files
BAM files from Illumina and Ion Torrent sequencing runs generated from each ancestral and evolved lineage described in this paper.
Gloria-Soria_BAMfiles.zip