Elevated rates of positive selection drive the evolution of pestiferousness in the Colorado potato beetle ( Leptinotarsa decemlineata, Say)

In order to understand the evolution of pestiferousness, which we define as the accumulation of traits that contribute to an insect population's success in an agroecosystem, we tested the importance of known genomic properties associated with rapid adaptation. Within the leaf beetle genus Leptinotarsa, only the Colorado potato beetle (CPB), Leptinotarsa decemlineata Say, and a few populations therein, has risen to pest status on cultivated nightshades, Solanum. Using whole genomes from ten closely related Leptinotarsa species native to the United States we reconstructed a high-quality species tree and used this phylogenetic framework to assess evolutionary patterns in four genomic features of rapid adaptation: standing genetic variation, gene family expansion and contraction, transposable element variation, and positive selection at protein coding genes. Throughout approximately 20 million years of history, Leptinotarsa species show little evidence of gene family turnover and transposable element variation. However, there is a clear pattern of recently derived lineages, including CPB, experiencing higher rates of positive selection on protein coding genes. We determine these rates are associated with greater standing genetic variation due to larger effective population size, which support the theory that the demographic history contributes to rates of protein evolution. Furthermore, we identify a suite of genes under positive selection that are linked to pestiferousness, exclusively, in the Colorado potato beetle lineage. They are involved in the biological processes of xenobiotic detoxification, chemosensation, and hormone function.The alignment data are stored in three compressed tgz folders and can be accessed upon expansion either using command line arguments tar -xzf *tgz or by double clicking each tarball. Once opened the three subfolders need to be further decompressed where you will find the alignments and a README.txt. These files do not have file extenstions, but are all text based readable files and can be accessed using a variety of file reading programs. Funding provided by: National Institute of Food and AgricultureCrossref Funder Registry ID: http://dx.doi.org/10.13039/100005825Award Number: WIS02004Funding provided by: National Institute of Food and AgricultureCrossref Funder Registry ID: http://dx.doi.org/10.13039/100005825Award Number: 2015‐67030‐23495Alignments of these genes were generated using a multi-phase heuristic algorithm implemented by the Spaln v2.3.3(space-efficient spliced alignment) program, which efficiently maps cDNA sequences onto whole genomes (Gotoh 2008). Mapped codons were further isolated from the Spaln output and aligned to the CPB reference ortholog sequence, for each species, using a custom C program. MAFFT (Multiple sequence alignment fast fourier transformation, Katoh et al. 2002). We corrected for mis-alignment and quality using Guidance v2.02, at high stringency, with 30 bootstraps per alignment (Penn et al. 2010)