Dispersal is a central life history trait that affects the ecological and evolutionary dynamics of populations and communities. The recent use of experimental evolution for the study of dispersal is a promising avenue for demonstrating valuable proofs of concept, bringing insight into alternative dispersal strategies and trade-offs, and testing the repeatability of evolutionary outcomes. Practical constraints restrict experimental evolution studies of dispersal to a set of typically small, short-lived organisms reared in artificial laboratory conditions. Here, we argue that despite these restrictions, inferences from these studies can reinforce links between theoretical predictions and empirical observations and advance our understanding of the eco-evolutionary consequences of dispersal. We illustrate how applying an integrative framework of theory, experimental evolution and natural systems can improve our understanding of dispersal evolution under more complex and realistic biological scenarios, such as the role of biotic interactions and complex dispersal syndromes.
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http://dx.doi.org/10.1111/1365-2656.13930 | DOI Listing |
J Hazard Mater
December 2024
College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China. Electronic address:
Enhancing the decomposition rate of ammonium perchlorate (AP), the most common oxidizer in solid propellants, is important for improving propellant performance. Metal organic frameworks (MOFs) have been developed as key materials for catalyzing AP decomposition, as they can achieve good dispersion of active sites through in-situ decomposition. Despite having considerable potential, the structural transformation process and catalytic performance of MOFs in AP decomposition are still unclear, which seriously hinders their application in the field of AP decomposition.
View Article and Find Full Text PDFMol Ecol
January 2025
Department of Biology, Colorado State University, Fort Collins, Colorado, USA.
Genomic projections of (mal)adaptation under future climate change, known as genomic offset, faces limited application due to challenges in validating model predictions. Individuals inhabiting regions with high genomic offset are expected to experience increased levels of physiological stress as a result of climate change, but documenting such stress can be challenging in systems where experimental manipulations are not possible. One increasingly common method for documenting physiological costs associated with stress in individuals is to measure the relative length of telomeres-the repetitive regions on the caps of chromosomes that are known to shorten at faster rates in more adverse conditions.
View Article and Find Full Text PDFAm J Bot
January 2025
Department of Ecology, Evolution and Behavior, University of Minnesota Twin Cities, St Paul, 55108, MN, USA.
Premise: Prairies are among the most threatened biomes due to changing patterns of climate and land use, yet information on genetic variation in key species that would inform conservation is often limited. We assessed evidence for the geographic scale of population-level variation in growth of two species of prairie clover and of their symbiotic associations with nitrogen-fixing bacteria.
Methods: Seed representing two species, Dalea candida and D.
Nat Cancer
January 2025
Cancer Systems Biology Laboratory, The Francis Crick Institute, London, UK.
CDKN2A is a tumor suppressor located in chromosome 9p21 and frequently lost in Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC). How CDKN2A and other 9p21 gene co-deletions affect EAC evolution remains understudied. We explored the effects of 9p21 loss in EACs and cancer progressor and non-progressor BEs with matched genomic, transcriptomic and clinical data.
View Article and Find Full Text PDFSARS-CoV-2 variants are mainly defined by mutations in their spike. It is therefore critical to understand how the evolutionary trajectories of spike affect virus phenotypes. So far, it has been challenging to comprehensively compare the many spikes that emerged during the pandemic in a single experimental platform.
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