Life history and eco-evolutionary dynamics in light of the gut microbiota

Oikos ◽  
2017 ◽  
Vol 126 (4) ◽  
pp. 508-531 ◽  
Author(s):  
Emilie Macke ◽  
Aurélie Tasiemski ◽  
François Massol ◽  
Martijn Callens ◽  
Ellen Decaestecker
Keyword(s):  
Life History ◽  
Gut Microbiota ◽  
Evolutionary Dynamics

scholarly journals Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
H. De Kort ◽  
J. G. Prunier ◽  
S. Ducatez ◽  
O. Honnay ◽  
M. Baguette ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Life History ◽  
Evolutionary Dynamics ◽  
Environmental Changes ◽  
Peripheral Populations ◽  
Plant Dispersal ◽  
Weak Support ◽  
Animal Populations ◽  
Plant Groups ◽  
Conservation Genetic

AbstractUnderstanding how biological and environmental factors interactively shape the global distribution of plant and animal genetic diversity is fundamental to biodiversity conservation. Genetic diversity measured in local populations (GDP) is correspondingly assumed representative for population fitness and eco-evolutionary dynamics. For 8356 populations across the globe, we report that plants systematically display much lower GDP than animals, and that life history traits shape GDP patterns both directly (animal longevity and size), and indirectly by mediating core-periphery patterns (animal fecundity and plant dispersal). Particularly in some plant groups, peripheral populations can sustain similar GDP as core populations, emphasizing their potential conservation value. We further find surprisingly weak support for general latitudinal GDP trends. Finally, contemporary rather than past climate contributes to the spatial distribution of GDP, suggesting that contemporary environmental changes affect global patterns of GDP. Our findings generate new perspectives for the conservation of genetic resources at worldwide and taxonomic-wide scales.

scholarly journals Loci, genes, and gene networks associated with life history variation in a model ecological organism,Daphnia pulex(complex)

2018 ◽  
Author(s):  
Jacob W. Malcom ◽  
Thomas E. Juenger ◽  
Mathew A. Leibold
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Life History ◽  
Molecular Basis ◽  
Life History Traits ◽  
Evolutionary Dynamics ◽  
Daphnia Pulex ◽  
Life History Trait ◽  
Life History Variation ◽  
Trait Variation

ABSTRACTBackgroundIdentifying the molecular basis of heritable variation provides insight into the underlying mechanisms generating phenotypic variation and the evolutionary history of organismal traits. Life history trait variation is of central importance to ecological and evolutionary dynamics, and contemporary genomic tools permit studies of the basis of this variation in non-genetic model organisms. We used high density genotyping, RNA-Seq gene expression assays, and detailed phenotyping of fourteen ecologically important life history traits in a wild-caught panel of 32Daphnia pulexclones to explore the molecular basis of trait variation in a model ecological species.ResultsWe found extensive phenotypic and a range of heritable genetic variation (~0 < H2< 0.44) in the panel, and accordingly identify 75-261 genes—organized in 3-6 coexpression modules—associated with genetic variation in each trait. The trait-related coexpression modules possess well-supported promoter motifs, and in conjunction with marker variation at trans- loci, suggest a relatively small number of important expression regulators. We further identify a candidate genetic network with SNPs in eight known transcriptional regulators, and dozens of differentially expressed genes, associated with life history variation. The gene-trait associations include numerous un-annotated genes, but also support several a priori hypotheses, including an ecdysone-induced protein and several Gene Ontology pathways.ConclusionThe genetic and gene expression architecture ofDaphnialife history traits is complex, and our results provide numerous candidate loci, genes, and coexpression modules to be tested as the molecular mechanisms that underlieDaphniaeco-evolutionary dynamics.

Daphnia as a Model for Eco-evolutionary Dynamics

2018 ◽  
pp. 403-424
Author(s):  
Matthew R. Walsh ◽  
Michelle Packer ◽  
Shannon Beston ◽  
Collin Funkhouser ◽  
Michael Gillis ◽  
...  
Keyword(s):  
Life History ◽  
Evolutionary Dynamics ◽  
Model Organism ◽  
Life History Evolution ◽  
Ecological Processes ◽  
Evolutionary Forces ◽  
Evolutionary Changes ◽  
History Evolution ◽  
Ecological Importance ◽  
The Many

Much research has shown that variation in ecological processes can drive rapid evolutionary changes over periods of years to decades. Such contemporary adaptation sets the stage for evolution to have reciprocal impacts on the properties of populations, communities, and ecosystems, with ongoing interactions between ecological and evolutionary forces. The importance and generality of these eco-evolutionary dynamics are largely unknown. In this chapter, we promote the use of water fleas (Daphnia sp.) as a model organism in the exploration of eco-evolutionary interactions in nature. The many characteristics of Daphnia that make them suitable for laboratory study in conjunction with their well-known ecological importance in lakes, position Daphnia to contribute new and important insights into eco-evolutionary dynamics. We first review the influence of key environmental stressors in Daphnia evolution. We then highlight recent work documenting the pathway from life history evolution to ecology using Daphnia as a model. This review demonstrates that much is known about the influence of ecology on Daphnia life history evolution, while research exploring the genomic basis of adaptation as well as the influence of Daphnia life history traits on ecological processes is beginning to accumulate.

scholarly journals Unhatched eggs represent the invisible fraction in two wild bird populations

2020 ◽  
Vol 16 (1) ◽  
pp. 20190763 ◽  
Author(s):  
Nicola Hemmings ◽  
Simon Evans
Keyword(s):  
Life History ◽  
Wild Bird ◽  
Evolutionary Dynamics ◽  
Population Studies ◽  
Bird Species ◽  
Fertilization Failure ◽  
Bird Populations ◽  
Life History Data ◽  
Evolutionary Inference ◽  
The Invisible

Prenatal mortality is typically overlooked in population studies, which biases evolutionary inference by confounding selection and inheritance. Birds represent an opportunity to include this ‘invisible fraction’ if each egg contains a zygote, but whether hatching failure is caused by fertilization failure versus prenatal mortality is largely unknown. We quantified fertilization failure rates in two bird species that are popular systems for studying evolutionary dynamics and found that overwhelming majorities (99.9%) of laid eggs were fertilized. These systems thus present opportunities to eliminate the invisible fraction from life-history data.

scholarly journals Evolutionary dynamics in the Anthropocene: Life history and intensity of human contact shape antipredator responses

PLoS Biology ◽  
2020 ◽  
Vol 18 (9) ◽  
pp. e3000818 ◽  
Author(s):  
Benjamin Geffroy ◽  
Bastien Sadoul ◽  
Breanna J. Putman ◽  
Oded Berger-Tal ◽  
László Zsolt Garamszegi ◽  
...  
Keyword(s):  
Life History ◽  
Evolutionary Dynamics ◽  
Human Contact ◽  
Antipredator Responses ◽  
Contact Shape

scholarly journals (Re)appreciating the role of life history in eco-evolutionary dynamics

Oikos ◽  
2017 ◽  
Vol 126 (4) ◽  
pp. 459-461 ◽  
Author(s):  
Dries Bonte ◽  
Dustin Marshall
Keyword(s):  
Life History ◽  
Evolutionary Dynamics

scholarly journals Defining Microbiome Health through a Host Lens

mSystems ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Sean M. Gibbons
Keyword(s):  
Complex System ◽  
Gut Microbiota ◽  
High Throughput ◽  
Mental State ◽  
Human Disease ◽  
Evolutionary Dynamics ◽  
Systems Approach ◽  
Commensal Microbiota ◽  
Ecosystem Level ◽  
Health And Disease

ABSTRACT We are walking ecosystems, inoculated at birth with a unique set of microbes that are integral to the functioning of our bodies. The physiology of our commensal microbiota is intertwined with our metabolism, immune function, and mental state. The specifics of this entanglement remain largely unknown and are somewhat unique to individuals, and when any one piece of this complex system breaks, our health can suffer. There appear to be many ways to build a healthy, functional microbiome and several distinct ways in which it can break. Despite the hundreds of associations with human disease, there are only a handful of cases where the exact contribution of the microbiome to the etiology of disease is known. Our laboratory takes a systems approach, integrating dynamic high-throughput host phenotyping with eco-evolutionary dynamics and metabolism of gut microbiota to better define health and disease for each individual at the ecosystem level.

scholarly journals How life history can sway the fixation probability of mutants

2016 ◽  
Author(s):  
Xiang-Yi Li ◽  
Shun Kurokawa ◽  
Stefano Giaimo ◽  
Arne Traulsen
Keyword(s):  
Life History ◽  
Age Structure ◽  
Evolutionary Dynamics ◽  
Selective Advantage ◽  
Fixation Probability ◽  
Relative Importance ◽  
Demographic Structure ◽  
Frequency Dependent ◽  
Intermediate Fraction ◽  
Size And Structure

AbstractIn this work, we study the effects of demographic structure on evolutionary dynamics, when selection acts on reproduction, survival, or both. In contrast with the previously discovered pattern that the fixation probability of a neutral mutant decreases while population becomes younger, we show that a mutant with constant selective advantage may have a maximum or a minimum of the fixation probability in populations with an intermediate fraction of young individuals. This highlights the importance of life history and demographic structure in studying evolutionary dynamics. We also illustrate the fundamental differences between selection on reproduction and on survival when age structure is present. In addition, we evaluate the relative importance of size and structure of the population in determining the fixation probability of the mutant. Our work lays the foundation for studying also density and frequency dependent effects in populations when demographic structures cannot be neglected.

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