scholarly journals Linking light-dependent life history traits with population dynamics for Prochlorococcus and cyanophage

2019 ◽  
Author(s):  
David Demory ◽  
Riyue Liu ◽  
Yue Chen ◽  
Fangxin Zhao ◽  
Ashley Coenen ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Life History ◽  
Life History Traits ◽  
Scale Up ◽  
Population Level ◽  
Cellular Growth ◽  
Diurnal Rhythms ◽  
Cell Infection ◽  
Infection Dynamics ◽  
The Impact

Prochlorococcus grow in diurnal rhythms driven by diel cycles. Their ecology depends on light, nutrients, and top-down mortality processes including lysis by viruses. Cyanophage, viruses that infect cyanobacteria, are also impacted by light. For example, extracellular viability and intra-cell infection kinetics of some cyanophage vary between light and dark conditions. Nonetheless, it remains unclear if light-dependent viral life history traits scale-up to influence population-level dynamics. Here we examined the impact of diel-forcing on both cellular- and population-scale dynamics in multiple Prochlorococcus-phage systems. To do so, we developed a light-driven population model including both cellular growth and viral infection dynamics. We then tested the model against measurements of experimental infection dynamics with diel forcing to examine the extent to which population level changes in both viral and host abundances could be explained by light-dependent life history traits. Model-data integration reveals that light-dependent adsorption can improve fits to population dynamics for some virus-host pairs. However, light-dependent variation alone does not fully explain realized host and virus population dynamics. Instead, we show evidence of a previously unrecognized lysis saturation at relatively high virus to cell ratios. Altogether, our study represents a quantitative approach to integrate mechanistic models to reconcile Prochlorococcus-virus dynamics spanning cellular to population scales.

scholarly journals Linking Light-Dependent Life History Traits with Population Dynamics for Prochlorococcus and Cyanophage

mSystems ◽  
2020 ◽  
Vol 5 (2) ◽  
Author(s):  
David Demory ◽  
Riyue Liu ◽  
Yue Chen ◽  
Fangxin Zhao ◽  
Ashley R. Coenen ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Life History ◽  
Population Model ◽  
Life History Traits ◽  
Population Level ◽  
Virus Dynamics ◽  
Virus Population ◽  
Infection Dynamics ◽  
Population Scale ◽  
The Impact

ABSTRACT Prochlorococcus cyanobacteria grow in diurnal rhythms driven by diel cycles. Their ecology depends on light, nutrients, and top-down mortality processes, including lysis by viruses. Cyanophage, viruses that infect cyanobacteria, are also impacted by light. For example, the extracellular viability and intracellular infection kinetics of some cyanophage vary between light and dark conditions. Nonetheless, it remains unclear whether light-dependent viral life history traits scale up to influence population-level dynamics. Here, we examined the impact of diel forcing on both cellular- and population-scale dynamics in multiple Prochlorococcus-phage systems. To do so, we developed a light-driven population model, including both cellular growth and viral infection dynamics. We then tested the model against measurements of experimental infection dynamics with diel forcing to examine the extent to which population level changes in both viral and host abundances could be explained by light-dependent life history traits. Model-data integration reveals that light-dependent adsorption can improve fits to population dynamics for some virus-host pairs. However, light-dependent variation alone does not fully explain realized host and virus population dynamics. Instead, we show evidence consistent with lysis saturation at relatively high virus-to-cell ratios. Altogether, our study represents a quantitative approach to integrate mechanistic models to reconcile Prochlorococcus-virus dynamics spanning cellular-to-population scales. IMPORTANCE The cyanobacterium Prochlorococcus is an essential member of global ocean ecosystems. Light rhythms drive Prochlorococcus photosynthesis, ecology, and interactions with potentially lethal viruses. At present, the impact of light on Prochlorococcus-virus interactions is not well understood. Here, we analyzed Prochlorococcus and virus population dynamics with a light-driven population model and compared our results with experimental data. Our approach revealed that light profoundly drives both cellular- and population-level dynamics for some host-virus systems. However, we also found that additional mechanisms, including lysis saturation, are required to explain observed host-virus dynamics at the population scale. This study provides the basis for future work to understand the intertwined fates of Prochlorococcus and associated viruses in the surface ocean.

scholarly journals Phenotypic plasticity of labile traits in the wild

2013 ◽  
Vol 59 (4) ◽  
pp. 485-505 ◽  
Author(s):  
Jon E. Brommer
Keyword(s):  
Life History ◽  
Phenotypic Plasticity ◽  
Statistical Approach ◽  
Scale Up ◽  
Population Level ◽  
Wild Populations ◽  
Quantitative Genetic ◽  
In The Wild ◽  
The Individual ◽  
Quantitative Genetic Parameters

Abstract Individual-based studies allow quantification of phenotypic plasticity in behavioural, life-history and other labile traits. The study of phenotypic plasticity in the wild can shed new light on the ultimate objectives (1) whether plasticity itself can evolve or is constrained by its genetic architecture, and (2) whether plasticity is associated to other traits, including fitness (selection). I describe the main statistical approach for how repeated records of individuals and a description of the environment (E) allow quantification of variation in plasticity across individuals (IxE) and genotypes (GxE) in wild populations. Based on a literature review of life-history and behavioural studies on plasticity in the wild, I discuss the present state of the two objectives listed above. Few studies have quantified GxE of labile traits in wild populations, and it is likely that power to detect statistically significant GxE is lacking. Apart from the issue of whether it is heritable, plasticity tends to correlate with average trait expression (not fully supported by the few genetic estimates available) and may thus be evolutionary constrained in this way. Individual-specific estimates of plasticity tend to be related to other traits of the individual (including fitness), but these analyses may be anti-conservative because they predominantly concern stats-on-stats. Despite the increased interest in plasticity in wild populations, the putative lack of power to detect GxE in such populations hinders achieving general insights. I discuss possible steps to invigorate the field by moving away from simply testing for presence of GxE to analyses that ‘scale up’ to population level processes and by the development of new behavioural theory to identify quantitative genetic parameters which can be estimated.

Impact of age, size, and sex on adult black soldier fly [Hermetia illucens L. (Diptera: Stratiomyidae)] thermal preference

2021 ◽  
pp. 1-12
Author(s):  
N.F. Addeo ◽  
C. Li ◽  
T.W. Rusch ◽  
A.J. Dickerson ◽  
A.M. Tarone ◽  
...  
Keyword(s):  
Life History ◽  
Thermal Gradient ◽  
Life History Traits ◽  
Animal Feed ◽  
Mass Rearing ◽  
Thermal Preference ◽  
Black Soldier Fly ◽  
Hermetia Illucens ◽  
Surface Temperatures ◽  
The Impact

Population growth and rapid urbanisation have increased the global demand for animal feed and protein sources. Therefore, traditional animal feed production should be increased through the use of alternative nutrient sources. Insects as feed are beginning to fill this need. One such insect is the black soldier fly, Hermetia illucens L. (Diptera: Stratiomyidae). However, to more effectively mass produce the black soldier fly, a better understanding of its thermal biology is needed. Thus, the aim of this study was to evaluate the impact of age, size, and sex on adult black soldier fly thermal preference. The thermal preference of adult black soldier flies was determined by exposing flies to a thermal gradient with a range of surface temperatures and monitoring their positions over time. An aluminium plate was used to create a linear thermal gradient where surface temperatures ranged from ~15-60 °C. Flies were distinguished by age (1-d-post-emergence vs 7-d-post-emergence), size (large vs small) and sex (male vs female) to assess whether thermal preference differed by specific life-history traits. Thermal preference for 7-d-post-emergence adults was significantly lower (19.2 °C) than 1-d-post-emergence adults (28.7 °C), respectively. Similarly, small adults selected significantly cooler (21.1 °C) temperatures than large adults (26.9 °C). No significant differences in thermal preferences were found between sex, regardless of age or size. In fact, males and females had similar thermal preference of 23.8 and 24.2 °C, respectively. This study reveals that multiple life-history traits of adult black soldier fly affect their thermal preference, and thus should be taken into consideration by mass rearing facilities to optimize production.

scholarly journals Intraspecific phenotypic variation in life history traits ofDaphnia galeatapopulations in response to fish kairomones

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5746 ◽  
Author(s):  
Verena Tams ◽  
Jennifer Lüneburg ◽  
Laura Seddar ◽  
Jan-Phillip Detampel ◽  
Mathilde Cordellier
Keyword(s):  
Life History ◽  
Environmental Change ◽  
Phenotypic Variation ◽  
Life History Traits ◽  
Common Garden ◽  
Population Level ◽  
Geometric Morphometric ◽  
Fish Kairomones ◽  
Geometric Morphometric Analysis ◽  
Clonal Lines

Phenotypic plasticity is the ability of a genotype to produce different phenotypes depending on the environment. It has an influence on the adaptive potential to environmental change and the capability to adapt locally. Adaptation to environmental change happens at the population level, thereby contributing to genotypic and phenotypic variation within a species. Predation is an important ecological factor structuring communities and maintaining species diversity. Prey developed different strategies to reduce their vulnerability to predators by changing their behaviour, their morphology or their life history. Predator-induced life history responses inDaphniahave been investigated for decades, but intra-and inter-population variability was rarely addressed explicitly. We addressed this issue by conducting a common garden experiment with 24 clonal lines of EuropeanDaphnia galeataoriginating from four populations, each represented by six clonal lines. We recorded life history traits in the absence and presence of fish kairomones. Additionally, we looked at the shape of experimental individuals by conducting a geometric morphometric analysis, thus assessing predator-induced morphometric changes. Our data revealed high intraspecific phenotypic variation within and between fourD. galeatapopulations, the potential to locally adapt to a vertebrate predator regime as well as an effect of the fish kairomones on morphology ofD. galeata.

Life history and environmental influences on population dynamics in sockeye salmon

2014 ◽  
Vol 71 (8) ◽  
pp. 1198-1208 ◽  
Author(s):  
Douglas C. Braun ◽  
John D. Reynolds
Keyword(s):  
Population Dynamics ◽  
Life History ◽  
Population Growth ◽  
Growth Rates ◽  
Environmental Conditions ◽  
Sockeye Salmon ◽  
Life History Traits ◽  
Relative Importance ◽  
Population Growth Rates ◽  
Habitat Variables

Understanding linkages among life history traits, the environment, and population dynamics is a central goal in ecology. We compared 15 populations of sockeye salmon (Oncorhynchus nerka) to test general hypotheses for the relative importance of life history traits and environmental conditions in explaining variation in population dynamics. We used life history traits and habitat variables as covariates in mixed-effect Ricker models to evaluate the support for correlates of maximum population growth rates, density dependence, and variability in dynamics among populations. We found dramatic differences in the dynamics of populations that spawn in a small geographical area. These differences among populations were related to variation in habitats but not life history traits. Populations that spawned in deep water had higher and less variable population growth rates, and populations inhabiting streams with larger gravels experienced stronger negative density dependence. These results demonstrate, in these populations, the relative importance of environmental conditions and life histories in explaining population dynamics, which is rarely possible for multiple populations of the same species. Furthermore, they suggest that local habitat variables are important for the assessment of population status, especially when multiple populations with different dynamics are managed as aggregates.

The primary prevention of anxiety disorders

2020 ◽  
pp. 948-960
Author(s):  
Aliza Werner-Seidler ◽  
Jennifer L. Hudson ◽  
Helen Christensen
Keyword(s):  
Anxiety Disorder ◽  
Primary Prevention ◽  
Scale Up ◽  
Population Level ◽  
Implementation Barriers ◽  
Cognitive Behavioural ◽  
Post Test ◽  
Prevention Programmes ◽  
Programme Content ◽  
The Impact

This chapter describes the nature of primary prevention of anxiety and reports on evidence for its effectiveness. The chapter first defines prevention before reporting results of a systematic review of randomized controlled trials designed to prevent anxiety. A review of existing trials and associated effect sizes suggests that prevention programmes can be effective in preventing anxiety disorder incidence and symptoms in multiple settings (schools, workplaces, community) across the lifespan. The median effect size at post-test across all studies was 0.21, and 0.25 specifically for cognitive behavioural prevention programmes. Key elements common to prevention programmes are then discussed, including a consideration of programme content and personnel delivering the intervention. Key implementation barriers are raised, together with suggestions for how these might be overcome in order to scale up and offer prevention at a population level. The chapter concludes with a consideration of the impact these programmes could have on anxiety disorder incidence.

An eco-physiological model of the impact of temperature on Aedes aegypti life history traits

2012 ◽  
Vol 58 (12) ◽  
pp. 1597-1608 ◽  
Author(s):  
Harish Padmanabha ◽  
Fabio Correa ◽  
Mathieu Legros ◽  
H. Fredrick Nijhout ◽  
Cynthia Lord ◽  
...  
Keyword(s):  
Life History ◽  
Aedes Aegypti ◽  
Life History Traits ◽  
Physiological Model ◽  
The Impact

scholarly journals Revealing Evolutionarily Optimal Strategies in Self-Reproducing Systems via a New Computational Approach

2019 ◽  
Vol 81 (11) ◽  
pp. 4701-4725 ◽  
Author(s):  
Simran Kaur Sandhu ◽  
Andrew Morozov ◽  
Oleg Kuzenkov
Keyword(s):  
Population Dynamics ◽  
Life History ◽  
Water Column ◽  
Life History Traits ◽  
Initial Conditions ◽  
Vertical Motion ◽  
Optimal Strategies ◽  
Natural World ◽  
Computational Method ◽  
Behavioural Patterns

AbstractModelling the evolution of complex life history traits and behavioural patterns observed in the natural world is a challenging task. Here, we develop a novel computational method to obtain evolutionarily optimal life history traits/behavioural patterns in population models with a strong inheritance. The new method is based on the reconstruction of evolutionary fitness using underlying equations for population dynamics and it can be applied to self-reproducing systems (including complicated age-structured models), where fitness does not depend on initial conditions, however, it can be extended to some frequency-dependent cases. The technique provides us with a tool to efficiently explore both scalar-valued and function-valued traits with any required accuracy. Moreover, the method can be implemented even in the case where we ignore the underlying model equations and only have population dynamics time series. As a meaningful ecological case study, we explore optimal strategies of diel vertical migration (DVM) of herbivorous zooplankton in the vertical water column which is a widespread phenomenon in both oceans and lakes, generally considered to be the largest synchronised movement of biomass on Earth. We reveal optimal trajectories of daily vertical motion of zooplankton grazers in the water column depending on the presence of food and predators. Unlike previous studies, we explore both scenarios of DVM with static and dynamic predators. We find that the optimal pattern of DVM drastically changes in the presence of dynamic predation. Namely, with an increase in the amount of food available for zooplankton grazers, the amplitude of DVM progressively increases, whereas for static predators DVM would abruptly cease.

scholarly journals The Scarcity of Specific Nutrients in Wild Bee Larval Food Negatively Influences Certain Life History Traits

Biology ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 462
Author(s):  
Zuzanna M. Filipiak ◽  
Michał Filipiak
Keyword(s):  
Life History ◽  
Body Mass ◽  
Behavioral Ecology ◽  
Life History Traits ◽  
Chemical Elements ◽  
Nutritional Ecology ◽  
Larval Food ◽  
Male Mortality ◽  
Wild Bee ◽  
The Impact

Bee nutrition studies have focused on food quantity rather than quality, and on details of bee biology rather than on the functioning of bees in ecosystems. Ecological stoichiometry has been proposed for studies on bee nutritional ecology as an ecosystem-oriented approach complementary to traditional approaches. It uses atomic ratios of chemical elements in foods and organisms as metrics to ask ecological questions. However, information is needed on the fitness effects of nutritional mismatches between bee demand and the supply of specific elements in food. We performed the first laboratory feeding experiment on the wild bee Osmia bicornis, investigating the impact of Na, K, and Zn scarcity in larval food on fitness-related life history traits (mortality, cocoon development, and imago body mass). We showed that bee fitness is shaped by chemical element availability in larval food; this effect may be sex-specific, where Na might influence female body mass, while Zn influences male mortality and body mass, and the trade-off between K allocation in cocoons and adults may influence cocoon and body development. These results elucidate the nutritional mechanisms underlying the nutritional ecology, behavioral ecology, and population functioning of bees within the context of nutrient cycling in the food web.

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