Multi-institutional survey of social, management, husbandry and environmental factors for the SSP African lionPanthera leopopulation: examining the effects of a breeding moratorium in relation to reproductive success

2015 ◽  
Vol 49 (1) ◽  
pp. 198-213 ◽  
Author(s):  
C. L. Daigle ◽  
J. L. Brown ◽  
K. Carlstead ◽  
B. Pukazhenthi ◽  
E. W. Freeman ◽  
...  
Keyword(s):  
Reproductive Success ◽  
Environmental Factors ◽  
Social Management

scholarly journals A method for studying the metabolic activity of individual tardigrades by measuring oxygen uptake using micro-respirometry

2020 ◽  
pp. jeb.233072
Author(s):  
Bjarke H. Pedersen ◽  
Hans Malte ◽  
Hans Ramløv ◽  
Kai Finster
Keyword(s):  
Steady State ◽  
Reproductive Success ◽  
Environmental Factors ◽  
Oxygen Uptake ◽  
Respiration Rate ◽  
Metabolic Activity ◽  
Life Stages ◽  
Respiration Rates ◽  
Single Organism ◽  
Insight Into

Studies of tardigrade biology have been severely limited by the sparsity of appropriate quantitative techniques, informative on a single-organism level. Therefore, many studies rely on motility-based survival scoring and quantifying reproductive success. Measurements of O2 respiration rates, as an integrating expression of the metabolic activity of single tardigrades, would provide a more comprehensive insight into how an individual tardigrade is responding to specific environmental factors or changes in life stages. Here we present and validate a new method for determining the O2 respiration rate (nmol O2 mg−1 hour−1) of single tardigrades under steady state, using O2-microsensors. As an example, we show that the O2 respiration rate determined in MilliQ water for individuals of Richtersius coronifer and of Macrobiotus macrocalix at 22 °C was 10.8±1.8 nmol O2 mg−1 hour−1 and 13.1±2.3 nmol O2 mg−1 hour−1, respectively.

scholarly journals Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3197 ◽  
Author(s):  
Aalt D.J. van Dijk ◽  
Jaap Molenaar
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Genetic Variation ◽  
Reproductive Success ◽  
Environmental Factors ◽  
Flowering Time ◽  
Genetic Networks ◽  
Expression Levels ◽  
Quantitative Level ◽  
The Impact

The appropriate timing of flowering is crucial for the reproductive success of plants. Hence, intricate genetic networks integrate various environmental and endogenous cues such as temperature or hormonal statues. These signals integrate into a network of floral pathway integrator genes. At a quantitative level, it is currently unclear how the impact of genetic variation in signaling pathways on flowering time is mediated by floral pathway integrator genes. Here, using datasets available from literature, we connect Arabidopsis thaliana flowering time in genetic backgrounds varying in upstream signalling components with the expression levels of floral pathway integrator genes in these genetic backgrounds. Our modelling results indicate that flowering time depends in a quite linear way on expression levels of floral pathway integrator genes. This gradual, proportional response of flowering time to upstream changes enables a gradual adaptation to changing environmental factors such as temperature and light.

scholarly journals Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time

2017 ◽  
Author(s):  
Aalt D.J. van Dijk ◽  
Jaap Molenaar
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Genetic Variation ◽  
Reproductive Success ◽  
Environmental Factors ◽  
Flowering Time ◽  
Genetic Networks ◽  
Expression Levels ◽  
Quantitative Level ◽  
The Impact

The appropriate timing of flowering is crucial for the reproductive success of plants. Hence, intricate genetic networks integrate various environmental and endogenous cues such as temperature or hormonal statues. These signals integrate into a network of floral pathway integrator genes. At a quantitative level, it is currently unclear how the impact of genetic variation in signaling pathways on flowering time is mediated by floral pathway integrator genes. Here, using datasets available from literature, we connect Arabidopsis thaliana flowering time in genetic backgrounds varying in upstream signalling components with the expression levels of floral pathway integrator genes in these genetic backgrounds. Our modelling results indicate that flowering time depends in a quite linear way on expression levels of floral pathway integrator genes. This gradual, proportional response of flowering time to upstream changes enables a gradual adaptation to changing environmental factors such as temperature and light.

scholarly journals Variance in Reproductive Success is Driven by Environmental Factors, not Mating System, in Bonytails

2018 ◽  
Vol 147 (6) ◽  
pp. 1100-1114 ◽  
Author(s):  
Megan J. Osborne ◽  
Alyssa V. Sanchez ◽  
Thomas E. Dowling ◽  
Thomas F. Turner
Keyword(s):  
Reproductive Success ◽  
Environmental Factors ◽  
Mating System ◽  
Variance In Reproductive Success

scholarly journals Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time

2017 ◽  
Author(s):  
Aalt D.J. van Dijk ◽  
Jaap Molenaar
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Genetic Variation ◽  
Reproductive Success ◽  
Environmental Factors ◽  
Flowering Time ◽  
Genetic Networks ◽  
Expression Levels ◽  
Quantitative Level ◽  
The Impact

The appropriate timing of flowering is crucial for the reproductive success of plants. Hence, intricate genetic networks integrate various environmental and endogenous cues such as temperature or hormonal statues. These signals integrate into a network of floral pathway integrator genes. At a quantitative level, it is currently unclear how the impact of genetic variation in signaling pathways on flowering time is mediated by floral pathway integrator genes. Here, using datasets available from literature, we connect Arabidopsis thaliana flowering time in genetic backgrounds varying in upstream signalling components with the expression levels of floral pathway integrator genes in these genetic backgrounds. Our modelling results indicate that flowering time depends in a quite linear way on expression levels of floral pathway integrator genes. This gradual, proportional response of flowering time to upstream changes enables a gradual adaptation to changing environmental factors such as temperature and light.

scholarly journals Environmental Factors, Reproductive Success and Population Dynamics in the Montane Vole, Microtus montanus

1986 ◽  
Vol 10 ◽  
pp. 126-128
Author(s):  
Aelita Pinter
Keyword(s):  
Population Dynamics ◽  
Reproductive Success ◽  
Environmental Factors ◽  
Population Density ◽  
Environmental Variables ◽  
Term Study ◽  
Microtus Montanus ◽  
Long Term Study ◽  
Microtine Rodents

Multiannual fluctuations in population density ("cycles") have been known since antiquity (Elton 1942). Numerous hypotheses have been proposed to explain this phenomenon (for reviews see Krebs and Myers 1974, Finerty 1980, Taitt and Kreh; 1985). However, none of these hypotheses, alone or in combination, can either explain the causality of cycles or predict their dynamics. The ultimate objectives of this long-term study are to answer two questions: (1) What causes multiannual fluctuations in the population density of microtine rodents?; and (2) How can cycles be predicted? The proximate objectives are to determine to what extent environmental variables - acting through reproductive responses of Microtus montanus- contribute to the population density cycles of these rodents.

Reductionist thinking and animal models in neuropsychiatric research

2019 ◽  
Vol 42 ◽  
Author(s):  
Nicole M. Baran
Keyword(s):  
Animal Models ◽  
Mental Disorders ◽  
Environmental Factors ◽  
Neuropsychiatric Disorders ◽  
Model Organisms ◽  
Developmental Genetic ◽  
Term Study ◽  
Genetic And Environmental Factors ◽  
Mechanisms Of Plasticity

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.

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