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1Over time, populations of species can expand, contract, and become isolated, creating subpopulations that 2 can adapt to local conditions. Understanding how species adapt following these changes is of great interest, 3 especially as the current climate crisis has caused range shifts for many species. Here, we characterize how 4 Drosophila innubila came to inhabit and adapt to its current range: mountain forests in southwestern USA 5 separated by large expanses of desert. Using population genomic data from more than 300 wild-caught 6 individuals, we examine four distinct populations to determine their population history in these mountain-7 forests, looking for signatures of local adaptation to establish a genomic model for this spatially-distributed 8 system with a well understood ecology. We find D. innubila spread northwards during the previous 9 glaciation period (30-100 KYA), and has recently expanded even further (0.2-2 KYA). Surprisingly, D. 10 innubila shows little evidence of population structure, though consistent with a recent migration, we find 11 signatures of a population contraction following this migration, and signatures of recent local adaptation 12 and selective sweeps in cuticle development and antifungal immunity. However, we find little support for 13 recurrent selection in these genes suggesting recent local adaptation. In contrast, we find evidence of 14 recurrent positive selection in the Toll-signaling system and the Toll-regulated antimicrobial peptides. 15 65 evolutionary change and this is particularly interesting regarding the coevolution with pathogens (DYER 66 AND JAENIKE 2005; UNCKLESS 2011a). We also wanted to understand how D. innubila adapt to their local 67
1Over time, populations of species can expand, contract, and become isolated, creating subpopulations that 2 can adapt to local conditions. Understanding how species adapt following these changes is of great interest, 3 especially as the current climate crisis has caused range shifts for many species. Here, we characterize how 4 Drosophila innubila came to inhabit and adapt to its current range: mountain forests in southwestern USA 5 separated by large expanses of desert. Using population genomic data from more than 300 wild-caught 6 individuals, we examine four distinct populations to determine their population history in these mountain-7 forests, looking for signatures of local adaptation to establish a genomic model for this spatially-distributed 8 system with a well understood ecology. We find D. innubila spread northwards during the previous 9 glaciation period (30-100 KYA), and has recently expanded even further (0.2-2 KYA). Surprisingly, D. 10 innubila shows little evidence of population structure, though consistent with a recent migration, we find 11 signatures of a population contraction following this migration, and signatures of recent local adaptation 12 and selective sweeps in cuticle development and antifungal immunity. However, we find little support for 13 recurrent selection in these genes suggesting recent local adaptation. In contrast, we find evidence of 14 recurrent positive selection in the Toll-signaling system and the Toll-regulated antimicrobial peptides. 15 65 evolutionary change and this is particularly interesting regarding the coevolution with pathogens (DYER 66 AND JAENIKE 2005; UNCKLESS 2011a). We also wanted to understand how D. innubila adapt to their local 67
1Hosts and viruses are constantly evolving in response to each other: as hosts attempt to suppress the virus, 2 the virus attempts to evade and suppress the host's immune system. This arms race results in the evolution 3 of novel pathways in both the host and virus to gain the upper hand. Here we describe the coevolution 4 between Drosophila species and a common and virulent DNA virus. We identify two distinct viral types 5 that differ 100-fold in viral titer in infected individuals, with similar effects across multiple species. Our 6 analysis suggests that one of the viral types appears to have recurrently evolved at least 4 times in the past 7 ~30,000 years, including in another geographically distinct species, due to the high effective mutation rate 8 which increases with titer. The higher titer viral type is associated with suppression of the host immune 9 system and an increased transmission rate compared to the low viral titer type. Both types are maintained 129 2016; PALMER et al. 2019).130 Among populations there is a positive correlation between the frequency of the High type and 131 overall DiNV infection frequency (Figure 1D, GLM logistic regression z-value = 6.104, p-value = 132 0.00883), suggesting that the High type may have a higher effective transmission rate, resulting in a 133 higher number of new individuals infected, per DiNV infected individual. The transmission rate appears 134 157 the frequency of the virus infection. E. Expression (in FPKM per viral particle) of gp83 increases with the 158 number of High DiNV haplotype SNPs. 159 160
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