Totiviridae is a virus family well known to infect uni-cellular organisms like fungi and protozoa. In more recent years, viruses characterized as toti-like viruses, have been found in primarily arthropods, but also a couple in planarians and piscine species. These toti-like viruses share phylogenetic similarities to totiviruses; however, their genomes also includes additional coding sequences in either 5′ or 3′ ends expected to relate to more advanced infection mechanisms in more advanced hosts. Here, we applied next generation sequencing (NGS) technologies and discovered three new toti-like viruses, one in wild common carp and one in bluegill from the USA and one in farmed lumpsucker from Norway. These are named common carp toti-like virus 1 (CCTLV-1), bluegill toti-like virus 1 (BGTLV-1), and Cyclopterus lumpus toti-like virus (CLuTLV), respectively. The genomes of these viruses have been characterized and compared to the three previously known piscine toti-like viruses, piscine myocarditis virus (PMCV) found in Atlantic salmon and the two from golden shiner, now named golden shiner toti-like virus 1 and 2 (GSTLV-1 and -2), and also to totiviruses and other toti-like viruses. We found that four piscine toti-like viruses had additional gene(s) in the 3′ end of the genome, and also clustered phylogenetically based on both capsid and RdRp-genes. This cluster constituted a distant branch in the Totiviridae, and we suggest this should be defined as a separate genus named Pistolvirus, to reflect this major cluster of piscine toti-like viruses. The remaining two piscine toti-like viruses differentiated from these by lacking any additional 3′ end genes and also by phylogenetical relation, but were both clustering with arthropod viruses in two different clusters.

Starry stonewort (Nitellopsis obtusa) is an alga that has emerged as an aquatic invasive species of concern in the United States. Where established, starry stonewort can interfere with recreational uses of water bodies and potentially have ecological impacts. Incipient invasion of starry stonewort in Minnesota provides an opportunity to predict future expansion in order to target early detection and strategic management. We used ecological niche models to identify suitable areas for starry stonewort in Minnesota based on global occurrence records and present-day and future climate conditions. We assessed sensitivity of forecasts to different parameters, using four emission scenarios (i.e., RCP 2.6, RCP 4.5, RCP 6, and RCP 8.5) from five future climate models (i.e., CCSM, GISS, IPSL, MIROC, and MRI). From our niche model analyses, we found that (i) occurrences from the entire range, instead of occurrences restricted to the invaded range, provide more informed models; (ii) default settings in Maxent did not provide the best model; (iii) the model calibration area and its background samples impact model performance; (iv) model projections to future climate conditions should be restricted to analogous environments; and (v) forecasts in future climate conditions should include different future climate models and model calibration areas to better capture uncertainty in forecasts. Under present climate, the most suitable areas for starry stonewort are predicted to be found in central and southeastern Minnesota. In the future, suitable areas for starry stonewort are predicted to shift in geographic range under some future climate models and to shrink under others, with most permutations indicating a net decrease of the species’ suitable range. Our suitability maps can serve to design short-term plans for surveillance and education, while future climate models suggest a plausible reduction of starry stonewort spread in the long-term if the trends in climate warming remain.

Nitellopsis obtusa(starry stonewort) is a dioecious green alga native to Europe and Asia that has emerged as an aquatic invasive species in North America.Nitellopsis obtusais rare across large portions of its native range, but has spread rapidly in northern-tier lakes in the United States, where it can interfere with recreation and may displace native species. Little is known about the invasion ecology ofN. obtusa, making it difficult to forecast future expansion. Using ecological niche modeling we investigated environmental variables associated with invasion risk. We used species records, climate data, and remotely sensed environmental variables to characterize the species’ multidimensional distribution. We found thatN. obtusais exploiting novel ecological niche space in its introduced range, which may help explain its invasiveness. While the fundamental niche ofN. obtusamay be stable, there appears to have been a shift in its realized niche associated with invasion in North America. Large portions of the United States are predicted to constitute highly suitable habitat forN. obtusa. Our results can inform early detection and rapid response efforts targetingN. obtusaand provide testable estimates of the physiological tolerances of this species as a baseline for future empirical research.