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Featured researches published by Eva K. Fischer.


Nature | 2015

Non-adaptive plasticity potentiates rapid adaptive evolution of gene expression in nature.

Cameron K. Ghalambor; Kim L. Hoke; Emily W. Ruell; Eva K. Fischer; David N. Reznick; Kimberly A. Hughes

Phenotypic plasticity is the capacity for an individual genotype to produce different phenotypes in response to environmental variation. Most traits are plastic, but the degree to which plasticity is adaptive or non-adaptive depends on whether environmentally induced phenotypes are closer or further away from the local optimum. Existing theories make conflicting predictions about whether plasticity constrains or facilitates adaptive evolution. Debate persists because few empirical studies have tested the relationship between initial plasticity and subsequent adaptive evolution in natural populations. Here we show that the direction of plasticity in gene expression is generally opposite to the direction of adaptive evolution. We experimentally transplanted Trinidadian guppies (Poecilia reticulata) adapted to living with cichlid predators to cichlid-free streams, and tested for evolutionary divergence in brain gene expression patterns after three to four generations. We find 135 transcripts that evolved parallel changes in expression within the replicated introduction populations. These changes are in the same direction exhibited in a native cichlid-free population, suggesting rapid adaptive evolution. We find 89% of these transcripts exhibited non-adaptive plastic changes in expression when the source population was reared in the absence of predators, as they are in the opposite direction to the evolved changes. By contrast, the remaining transcripts exhibiting adaptive plasticity show reduced population divergence. Furthermore, the most plastic transcripts in the source population evolved reduced plasticity in the introduction populations, suggesting strong selection against non-adaptive plasticity. These results support models predicting that adaptive plasticity constrains evolution, whereas non-adaptive plasticity potentiates evolution by increasing the strength of directional selection. The role of non-adaptive plasticity in evolution has received relatively little attention; however, our results suggest that it may be an important mechanism that predicts evolutionary responses to new environments.Phenotypic plasticity is the capacity for an individual genotype to produce different phenotypes in response to environmental variation. Most traits are plastic, but the degree to which plasticity is adaptive or non-adaptive depends on whether environmentally induced phenotypes are closer or further away from the local optimum. Existing theories make conflicting predictions about whether plasticity constrains or facilitates adaptive evolution. Debate persists because few empirical studies have tested the relationship between initial plasticity and subsequent adaptive evolution in natural populations. Here we show that the direction of plasticity in gene expression is generally opposite to the direction of adaptive evolution. We experimentally transplanted Trinidadian guppies (Poecilia reticulata) adapted to living with cichlid predators to cichlid-free streams, and tested for evolutionary divergence in brain gene expression patterns after three to four generations. We find 135 transcripts that evolved parallel changes in expression within the replicated introduction populations. These changes are in the same direction exhibited in a native cichlid-free population, suggesting rapid adaptive evolution. We find 89% of these transcripts exhibited non-adaptive plastic changes in expression when the source population was reared in the absence of predators, as they are in the opposite direction to the evolved changes. By contrast, the remaining transcripts exhibiting adaptive plasticity show reduced population divergence. Furthermore, the most plastic transcripts in the source population evolved reduced plasticity in the introduction populations, suggesting strong selection against non-adaptive plasticity. These results support models predicting that adaptive plasticity constrains evolution, whereas non-adaptive plasticity potentiates evolution by increasing the strength of directional selection. The role of non-adaptive plasticity in evolution has received relatively little attention; however, our results suggest that it may be an important mechanism that predicts evolutionary responses to new environments.


Physiology & Behavior | 2012

Isolation rearing attenuates social interaction-induced expression of immediate early gene protein products in the medial prefrontal cortex of male and female rats

Vanessa L. Wall; Eva K. Fischer; Sondra T. Bland

Early life adversity and stress in humans have been related to a number of psychological disorders including anxiety, depression, and addiction. The present study used isolation rearing, a well-characterized animal model of early life adversity, to examine its effects on social behavior and immediate early gene (IEG) expression produced by exposure to a novel social experience. Male and female rats were housed in same-sex groups or in isolation for 4 weeks beginning at weaning and were tested during late adolescence. The protein products of the IEGs c-fos and Arc, as well as the neurotrophic factor BDNF were assessed in medial prefrontal cortex (mPFC) subregions (anterior cingulate, prelimbic and infralimbic) using immunohistochemistry. Aggressive and non-aggressive behaviors during novel social exposure were also assessed. Exposure to a novel conspecific produced increases in Arc and c-fos activation in the mPFC of group reared animals in a sex- and subregion-dependent fashion compared to no social exposure controls, but this increase was blunted or absent in isolated animals. Isolates engaged in more social interactions and more aggressive behavior than group reared rats. Sex differences in some behaviors as well as in Arc and BDNF expression were observed. These results indicate that isolation rearing alters IEG activation in the mPFC produced by exposure to a novel conspecific, in addition to changing social behavior, and that these effects depend in part on sex.


Hormones and Behavior | 2014

Predator exposure alters stress physiology in guppies across timescales.

Eva K. Fischer; Rayna M. Harris; Hans A. Hofmann; Kim L. Hoke

In vertebrates, glucocorticoids mediate a wide-range of responses to stressors. For this reason, they are implicated in adaptation to changes in predation pressure. Trinidadian guppies (Poecilia reticulata) from high-predation environments have repeatedly and independently colonized and adapted to low-predation environments, resulting in parallel changes in life history, morphology, and behavior. We validated methods for non-invasive waterborne hormone sample collection in this species, and used this technique to examine genetic and environmental effects of predation on basal glucocorticoid (cortisol) levels. To examine genetic differences, we compared waterborne cortisol levels in high- and low-predation fish from two distinct population pairs. We found that fish from high-predation localities had lower cortisol levels than their low-predation counterparts. To isolate environmental influences, we compared waterborne cortisol levels in genetically similar fish reared with and without exposure to predator chemical cues. We found that fish reared with predator chemical cues had lower waterborne cortisol levels than those reared without. Comparisons of waterborne and whole-body cortisol levels demonstrated that populations differed in overall cortisol levels in the body, whereas rearing conditions altered the release of cortisol from the body into the water. Thus, evolutionary history with predators and lifetime exposure to predator cues were both associated with lower cortisol release, but depended on distinct physiological mechanisms.


Journal of Evolutionary Biology | 2016

Plasticity and evolution in correlated suites of traits

Eva K. Fischer; Cameron K. Ghalambor; Kim L. Hoke

When organisms are faced with new or changing environments, a central challenge is the coordination of adaptive shifts in many different phenotypic traits. Relationships among traits may facilitate or constrain evolutionary responses to selection, depending on whether the direction of selection is aligned or opposed to the pattern of trait correlations. Attempts to predict evolutionary potential in correlated traits generally assume that correlations are stable across time and space; however, increasing evidence suggests that this may not be the case, and flexibility in trait correlations could bias evolutionary trajectories. We examined genetic and environmental influences on variation and covariation in a suite of behavioural traits to understand if and how flexibility in trait correlations influences adaptation to novel environments. We tested the role of genetic and environmental influences on behavioural trait correlations by comparing Trinidadian guppies (Poecilia reticulata) historically adapted to high‐ and low‐predation environments that were reared under native and non‐native environmental conditions. Both high‐ and low‐predation fish exhibited increased behavioural variance when reared under non‐native vs. native environmental conditions, and rearing in the non‐native environment shifted the major axis of variation among behaviours. Our findings emphasize that trait correlations observed in one population or environment may not predict correlations in another and that environmentally induced plasticity in correlations may bias evolutionary divergence in novel environments.


The Journal of Experimental Biology | 2013

Genetically and environmentally mediated divergence in lateral line morphology in the Trinidadian guppy ( Poecilia reticulata )

Eva K. Fischer; Daphne Soares; Kathryn R. Archer; Cameron K. Ghalambor; Kim L. Hoke

SUMMARY Fish and other aquatic vertebrates use their mechanosensory lateral line to detect objects and motion in their immediate environment. Differences in lateral line morphology have been extensively characterized among species; however, intraspecific variation remains largely unexplored. In addition, little is known about how environmental factors modify development of lateral line morphology. Predation is one environmental factor that can act both as a selective pressure causing genetic differences between populations, and as a cue during development to induce plastic changes. Here, we test whether variation in the risk of predation within and among populations of Trinidadian guppies (Poecilia reticulata) influences lateral line morphology. We compared neuromast arrangement in wild-caught guppies from distinct high- and low-predation population pairs to examine patterns associated with differences in predation pressure. To distinguish genetic and environmental influences, we compared neuromast arrangement in guppies from different source populations reared with and without exposure to predator chemical cues. We found that the distribution of neuromasts across the body varies between populations based on both genetic and environmental factors. To the best of our knowledge, this study is the first to demonstrate variation in lateral line morphology based on environmental exposure to an ecologically relevant stimulus.


bioRxiv | 2018

Seasonal changes in diet and toxicity in the Climbing Mantella frog (Mantella laevigata)

Nora A Moskowitz; Alexandre B. Roland; Eva K. Fischer; Ndimbintsoa Ranaivorazo; Charles Vidoudez; Marianne T Aguilar; Sophia M Caldera; Jackie Chea; Miruna G Cristus; Jett P Crowdis; Bluye DeMessie; Caroline R Desjardins-Park; Audrey H Effenberger; Felipe Flores; Michael Giles; Emma Y He; Nike S Izmaylov; Chang Won Lee; Nicholas A Pagel; Krystal K Phu; Leah U Rosen; Danielle A Seda; Yong Shen; Santiago Vargas; Andrew W. Murray; Eden Abebe; Sunia A. Trauger; David A. Donoso; Miguel Vences; Lauren O'Connell

Poison frogs acquire chemical defenses from the environment for protection against potential predators. These defensive chemicals are lipophilic alkaloid toxins that are sequestered by poison frogs from dietary arthropods and stored in skin glands. Despite decades of research focusing on identifying poison frog toxins, we know relatively little about how environmental variation and subsequent arthropod availability influences toxicity in poison frogs. We investigated how seasonal environmental variation influences poison frog toxin profiles through changes in the diet of the Climbing Mantella (Mantella laevigata). We collected M. laevigata females on the Nosy Mangabe island reserve in Madagascar during the wet and dry seasons and tested the hypothesis that seasonal differences in temperature and rainfall are associated with changes in the diet and skin toxin profiles of M. laevigata. The arthropod diet of each frog was characterized using visual identification and cytochrome oxidase 1 DNA barcoding. We found that frog diet differed between the wet and dry seasons, where frogs had a more diverse diet in the wet season and consumed a higher percentage of ants in the dry season. To determine if these differences in diet were associated with variation in frog defensive chemical composition, we used gas chromatography / mass spectrometry to quantify toxins from individual skin samples. Although, the assortment of identified toxins was similar across seasons, we were able to detect significant differences in the abundance of certain alkaloids, which we hypothesize reflects seasonal variation in the diet of M. laevigata. These variations could originate from changes in arthropod leaf litter composition or changes in frog behavioral patterns between wet and dry seasons. Although additional studies are needed to understand the consequences of long-term environmental shifts, this work suggests that toxin profiles are relatively robust against short-term environmental perturbations.


bioRxiv | 2018

Losing maternal care: Neotenic gene expression in the preoptic area of avian brood parasites

Kathleen S. Lynch; Lauren O'Connell; Matthew I. M. Louder; Anthony Pellicano; Annmarie Gaglio; Angell Xiang; Christopher N. Balakrishnan; Eva K. Fischer

Parental care for is critical for offspring survival in many species. However, parental behaviors have been lost in roughly 1% of avian species known as the obligate brood parasites. To shed light on molecular and neurobiological mechanisms mediating brood parasitic behavior, brain gene expression patterns between two brood parasitic species and one closely related non-parasitic Icterid (blackbird) species were compared. Our analyses focused on gene expression changes specifically in the preoptic area (POA), a brain region known to play a critical role in maternal behavior across vertebrates. Using comparative transcriptomic approaches, we identified gene expression patterns associated with brood parasitism and evaluated two alternative explanations for the evolution of brood parasitism: reduced expression of parental-related genes in the POA versus retention of juvenile (neotenic) gene expression. While we did not find evidence for large scale gene downregulation, expression patterns did reflect substantial evidence for neotenic POA gene expression in parasitic birds. Differentially expressed genes with previously established roles in parental care were identified. Targeted examination of these selected candidate genes in additional hypothalamic regions revealed species differences in gene expression patterns is not POA-specific. Together, these results provide new insights into neurogenomics underlying maternal behavior loss in avian brood parasites.


bioRxiv | 2018

Untangling the role of selection and drift in population divergence via transcriptional network simulations: Extended analysis of Ghalambor et al. (2015)

Kim L. Hoke; Kimberly A. Hughes; Eva K. Fischer; Cameron K. Ghalambor

A long-standing question in evolutionary biology is whether phenotypic plasticity influences adaptive evolutionary change (e.g. Waddington 1961; Price et al. 2003; Ghalambor et al. 2007; Lande 2009; Wund 2012). The same genotype can produce different phenotypes in response to different environments, but whether such plasticity constrains or facilitates evolutionary change remains an unresolved and controversial problem (Ghalambor et al. 2007). Theoretical models to date have made diverse predictions on the role of plasticity in evolutionary divergence (e.g. Ancel 2000; Paenke et al. 2007; Thibert-Plante and Hendry 2011), and empirical studies have largely been limited to retrospective approaches that infer the role of plasticity long-after populations and species have diverged (e.g. Losos et al. 2000; Wund et al. 2007; Scoville and Pfrender 2010). Field and lab studies that combine transcriptomic methods with recently diverged population comparisons provide a potentially powerful framework for quantifying patterns of plasticity for large numbers of molecular phenotypes within a generation, and how these phenotypes evolve across generations in response to either natural or artificial selection (e.g. Yampolsky et al. 2012; Ghalambor et al. 2015; Huang and Agrawal 2016). However, the high dimensionality of transcriptomic data imposes some computational challenges when attempting to infer the role of various evolutionary processes.


Trends in Neurosciences | 2018

Circuit Architecture Underlying Distinct Components of Parental Care

Eva K. Fischer; Lauren A. O’Connell

Parental care is a key evolutionary innovation that influences the fitness of parents and offspring. How the brain coordinates such a complex behavior remains poorly understood. Kohl and colleagues recently uncovered the organizational principles of hypothalamic galanin neurons and their connections in mice. Their findings revealed a striking picture in which discrete neuronal pools control distinct aspects of parental behavior.


Behavioral Ecology and Sociobiology | 2018

Differences in neural activity, but not behavior, across social contexts in guppies, Poecilia reticulata

Eva K. Fischer; Sarah E. Westrick; Lauren Hartsough; Kim L. Hoke

Animals are continually faced with the challenge of producing context-appropriate social behaviors. In many instances, appropriate behaviors differ by social situation. However, in some instances, the same behaviors are employed across different social contexts, albeit in response to distinct stimuli and with distinct purposes. We took advantage of behavioral similarities across mating and aggression contexts in guppies, Poecilia reticulata, to understand how patterns of neural activity differ across social contexts when behaviors are nonetheless shared. While there is growing interest in understanding behavioral mechanisms in guppies, resources are sparse. As part of this study, we developed a neuroanatomical atlas of the guppy brain as a research community resource. Using this atlas, we found that neural activity in the preoptic area reflected social context, whereas individual differences in behavioral motivation paralleled activity in the posterior tuberculum and ventral telencephalon (teleost homologs of the mammalian ventral tegmental area and lateral septum, respectively). Our findings suggest independent coding of social salience versus behavioral motivation when behavioral repertoires are shared across social contexts.Significance statementChoosing behaviors appropriate to the current social situation is of central importance to animals. Interactions with different social partners (e.g., mates, competitors, or offspring) generally require distinct behavioral repertories. However, in some cases, similar behaviors are used across social contexts. The neural mechanisms underlying social behavior are particularly intriguing in these situations, where the same behaviors are produced in response to distinct social stimuli and for distinct purposes. We took advantage of behavioral similarities across mating and aggression interactions in Trinidadian guppies to explore how social information is reflected in the brain when fish perform a common set of behaviors across contexts. We found that activity in distinct brain regions reflects social context versus behavioral motivation, suggesting a means by which social inputs and behavioral outputs can be coded independently of one another.

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Kim L. Hoke

Colorado State University

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Emily W. Ruell

Colorado State University

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