AIMC Topic: Adaptation, Physiological
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Environmental adaptations in metagenomes revealed by deep learning.
BMC biology
Aug 11, 2025
BACKGROUND: Deep learning has emerged as a powerful tool in the analysis of biological data, including the analysis of large metagenome data. However, its application remains limited due to high computational costs, model complexity, and difficulty e...
Modeling impacts of climate-induced yield variability and adaptations on wheat and maize in a sub-tropical monsoon climate - using fuzzy logic.
Scientific reports
Jul 16, 2025
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable fut...
Unsupervised learning reveals rapid gait adaptation after leg loss and regrowth in spiders.
The Journal of experimental biology
Jun 17, 2025
Many invertebrates voluntarily lose (autotomize) limbs during antagonistic encounters, and some regenerate functional replacements. Because limb loss can have severe consequences on individual fitness, it is likely subject to significant selective pr...
Pollen morphology, deep learning, phylogenetics, and the evolution of environmental adaptations in Podocarpus.
The New phytologist
Jun 3, 2025
Podocarpus pollen morphology is shaped by both phylogenetic history and the environment. We analyzed the relationship between pollen traits quantified using deep learning and environmental factors within a comparative phylogenetic framework. We inves...
Exploring the evolutionary adaptations of the unique seahorse tail's muscle architecture through modelling and robotic prototyping.
Journal of the Royal Society, Interface
May 7, 2025
Seahorses possess a unique tail muscle architecture that enables efficient grasping and anchoring onto objects. This prehensile ability is crucial for their survival, as it allows them to resist currents, cling to mates during reproduction and remain...
Role of electrostatics in cold adaptation: A comparative study of eury- and stenopsychrophilic triose phosphate isomerase.
Biochimica et biophysica acta. Proteins and proteomics
Apr 11, 2025
Psychrophilic (cold-active) organisms have developed enzymes that facilitate sufficient metabolic activity at low temperatures to sustain life. This occurs through molecular adaptations that tend to increase protein flexibility at the expense of stab...
aurora: a machine learning gwas tool for analyzing microbial habitat adaptation.
Genome biology
Mar 23, 2025
A primary goal of microbial genome-wide association studies is identifying genomic variants associated with a particular habitat. Existing tools fail to identify known causal variants if the analyzed trait shaped the phylogeny. Furthermore, due to in...
Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing.
PloS one
Mar 19, 2025
Climate change is projected to adversely affect agriculture worldwide. This requires farmers to adapt incrementally already early in the twenty-first century, and to pursue transformational adaptation to endure future climate-induced damages. Many ar...
Adapting to time: Why nature may have evolved a diverse set of neurons.
PLoS computational biology
Dec 13, 2024
Brains have evolved diverse neurons with varying morphologies and dynamics that impact temporal information processing. In contrast, most neural network models use homogeneous units that vary only in spatial parameters (weights and biases). To explor...
Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.
PLoS computational biology
Dec 13, 2024
Neurons in the brain have rich and adaptive input-output properties. Features such as heterogeneous f-I curves and spike frequency adaptation are known to place single neurons in optimal coding regimes when facing changing stimuli. Yet, it is still u...
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