Adaptive Divergence Versus Gene Flow in the Wild: Evaluation in Trinidadian Guppy Populations

This research investigates the impact of gene flow (genetic exchange among populations) on the evolution of biological diversity. The investigators will first document background patterns of diversity in adaptive traits (e.g., morphology, color pattern, life history) and gene flow for wild populations of Trinidadian guppies that face different environmental conditions (high vs. low predation). The investigators will then perform an experimental manipulation of the rate of gene flow between selected populations in order to evaluate theoretical predictions about the impact of gene flow on variation in adaptive traits. Gene flow is pervasive in the wild, but the activities of humans have extensively altered natural patterns of gene flow and adaptation. A growing body of theory suggests that gene flow may have substantial implications for the persistence of adaptation and hence for the evolution and preservation of biological diversity. Unfortunately, most current theory relating gene flow to adaptive trait variation remains largely untested in natural populations (particularly for the traits most closely related to fitness). The proposed research will test this theory and thus help develop robust strategies for managing gene flow in disturbed systems. It will also build on an increasingly popular case study for teaching evolution in classrooms

DISSERTATION RESEARCH: Eco-Evolutionary Effects of an Aquatic Consumer: Linking Phenotypic Diversity to Community and Ecosystem Responses

This research addresses the interaction between ecological and evolutionary processes by examining the recent evolution of a common invasive fish species, the white perch, in lakes and the consequences of this evolution for community and ecosystem dynamics. White perch have successfully invaded lakes spanning a productivity gradient, which provides diverse selective pressures that may result in altered fish morphology, physiology and ecological role. Adaptation by these fish may, in turn, feed back to affect lake productivity and community structure through several ecological and chemical pathways. This project tests the hypothesis that this rapid evolutionary divergence within a single species has resulted in ecological effects that are large relative to longer term divergence between different species of fish. The research will use controlled rearing of fish from differing lakes to establish the genetic nature of the relationship between lake productivity and fish traits that include body chemistry, body shape, and feeding morphology. In additional, mesocosm experiments will be used to determine the effects of fish trait variation on plankton community structure and ecosystem processes such as nutrient cycling and productivity. By using mesocosms seeded with plankton and fish from different source ponds, fish and plankton source treatments will be crossed and the relative impact of fish invasion into novel habitats will be compared to longer term evolutionary divergence. This research tests an ecological-evolutionary framework that is a recent synthesis between evolutionary biology and ecology. This framework has the potential to provide general insight into the causes and consequences of biodiversity and a better understanding of the pace at which evolution and ecology interact. This theoretical framework and research that uses a common fish invader informs practical issues involving management and conservation of biodiversity and maintenance of water quality in lakes. This project will enhance the doctoral thesis of a graduate student and provide several undergraduate students with research experience

Developing Cost Effective Monitoring for Rainbow Smelt Using eDNA

Environmental DNA (eDNA) tools developed at the University of Maine were successfully deployed in four coastal streams in Casco Bay, Maine in spring 2018 to detect the presence of anadromous rainbow smelt (Osmerus mordax), the first full application of this emerging technique. Field methods were refined and tested at sites with documented high (2) and low (2) spawning productivity. Samples were collected below known spawning areas immediately upstream of estuarine tidal influence 2-3 times each week during the spawning season. Three replicate samples were collected in the field at each site, as well as a contamination control, and all samples were filtered and preserved for laboratory analysis. Extracted eDNA samples and controls were run on three replicate qPCR assays. Initial efforts to extract eDNA from samples were hampered by the presence of environmental inhibitors. Use of a Zymo OneStep PCR Inhibitor Removal Kits appears to have overcome this problem and field collected eDNA samples were amplified successfully using quantitative polymerase chain reaction (qPCR). In partnership with a qualified lab, these tools can now provide a low-cost, userfriendly, and reliable method for monitoring the presence of rainbow smelt

Phenotypic plasticity and population viability: the importance of environmental predictability

Phenotypic plasticity plays a key role in modulating how environmental variation influences population dynamics, but we have only rudimentary understanding of how plasticity interacts with the magnitude and predictability of environmental variation to affect population dynamics and persistence. We developed a stochastic individual-based model, in which phenotypes could respond to a temporally fluctuating environmental cue and fitness depended on the match between the phenotype and a randomly fluctuating trait optimum, to assess the absolute fitness and population dynamic consequences of plasticity under different levels of environmental stochasticity and cue reliability. When cue and optimum were tightly correlated, plasticity buffered absolute fitness from environmental variability, and population size remained high and relatively invariant. In contrast, when this correlation weakened and environmental variability was high, strong plasticity reduced population size, and populations with excessively strong plasticity had substantially greater extinction probability. Given that environments might become more variable and unpredictable in the future owing to anthropogenic influences, reaction norms that evolved under historic selective regimes could imperil populations in novel or changing environmental contexts. We suggest that demographic models (e.g. population viability analyses) would benefit from a more explicit consideration of how phenotypic plasticity influences population responses to environmental change

Adaptive Changes in Life History and Survival following a New Guppy Introduction

Numerous studies of wild populations have shown that phenotypic traits can change adaptively on short timescales, but very few studies have considered coincident changes in major fitness components. We here examine adaptive changes in life-history traits and survival rates for wild guppies introduced into new environments. Female life-history traits in the derived (Damier River) populations diverged from the ancestral (Yarra River) population, as a result of adaptation to predation regime (high vs. low) and other aspects of the local river. Moreover, some components of the derived Damier populations, particularly juveniles, now show higher survival in the Damier than do contemporary representatives from the ancestral Yarra population. These results suggest that adaptive change can improve survival rates after fewer than 10 years (fewer than 30 guppy generations) in a new environment

Contemporary Evolutionary Divergence for a Protected Species following Assisted Colonization

Contemporary evolution following assisted colonization may increase the probability of persistence for refuge populations established as a bet-hedge for protected species. Such refuge populations are considered "genetic replicates" that might be used for future re-colonization in the event of a catastrophe in the native site. Although maladaptive evolutionary divergence of captive populations is well recognized, evolutionary divergence of wild refuge populations may also occur on contemporary time scales. Thus, refuge populations may lose their "value" as true genetic replicates of the native population. Here, we show contemporary evolutionary divergence in body shape in an approximately 30-year old refuge population of the protected White Sands pupfish (Cyprinodon tularosa) resulting in a body-shape mismatch with its native environment.Geometric morphometic data were collected from C. tularosa cultures raised in experimental mesocosms. Cultures were initiated with fish from the two native populations, plus hybrids, in high or low salinity treatments representing the salinities of the two native habitats. We found that body shape was heritable and that shape variation due to phenotypic plasticity was small compared to shape variation due to population source. C. tularosa from the high salinity population retained slender body shapes and fish from the low salinity population retained deep body shapes, irrespective of mesocosm salinity. These data suggest that the observed divergence of a recently established pupfish population was not explained by plasticity. An analysis of microsatellite variation indicated that no significant genetic drift occurred in the refuge population, further supporting the adaptive nature of changes in body shape. These lines of evidence suggest that body shape divergence of the refuge population reflects a case of contemporary evolution (over a 30-year period).These results suggest assisted colonization can introduce novel, and/or relaxed selection, and lead to unintended evolutionary divergence

LSST: from Science Drivers to Reference Design and Anticipated Data Products

(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg$^2$ field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5$\sigma$ point-source depth in a single visit in $r$ will be $\sim 24.5$ (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg$^2$ with $\delta<+34.5^\circ$, and will be imaged multiple times in six bands, $ugrizy$, covering the wavelength range 320--1050 nm. About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18,000 deg$^2$ region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to $r\sim27.5$. The remaining 10\% of the observing time will be allocated to projects such as a Very Deep and Fast time domain survey. The goal is to make LSST data products, including a relational database of about 32 trillion observations of 40 billion objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overvie