ReviewProceedings. Biological sciences2017
How to get the most bang for your buck: the evolution and physiology of nutrition-dependent resource allocation strategies.
Review in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Mating triggers a physiological switch to reproduction in field crickets to mitigate the flight-oogenesis tradeoff.Current research in insect science · 2026Article
- Prior heat stress increases pathogen susceptibility in the model cnidarian Exaiptasia diaphana.Communications biology · 2024Article
- Resource-based trade-offs and the adaptive significance of seasonal plasticity in butterfly wing melanism.Ecology and evolution · 2024Article
- The Hunger Games as the Key to Happily Ever After?The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Review
- Antibody development to identify components of IIS and mTOR signaling pathways in lepidopteran species, a set of non-model insects.microPublication biology · 2023Article
- How much energetic trade-offs limit selection? Insights from livestock and related laboratory model species.Evolutionary applications · 2021Article
- Assessment of trade-offs between feed efficiency, growth-related traits, and immune activity in experimental lines of layer chickens.Genetics, selection, evolution : GSE · 2021Article
- Diverse biological processes coordinate the transcriptional response to nutritional changes in a Drosophila melanogaster multiparent population.BMC genomics · 2020Article
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Authors and funding
3 authors.
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Abstract
All organisms use resources to grow, survive and reproduce. The supply of these resources varies widely across landscapes and time, imposing ultimate constraints on the maximal trait values for allocation-related traits. In this review, we address three key questions fundamental to our understanding of the evolution of allocation strategies and their underlying mechanisms. First, we ask: how diverse are flexible resource allocation strategies among different organisms? We find there are many, varied, examples of flexible strategies that depend on nutrition. However, this diversity is often ignored in some of the best-known cases of resource allocation shifts, such as the commonly observed pattern of lifespan extension under nutrient limitation. A greater appreciation of the wide variety of flexible allocation strategies leads directly to our second major question: what conditions select for different plastic allocation strategies? Here, we highlight the need for additional models that explicitly consider the evolution of phenotypically plastic allocation strategies and empirical tests of the predictions of those models in natural populations. Finally, we consider the question: what are the underlying mechanisms determining resource allocation strategies? Although evolutionary biologists assume differential allocation of resources is a major factor limiting trait evolution, few proximate mechanisms are known that specifically support the model. We argue that an integrated framework can reconcile evolutionary models with proximate mechanisms that appear at first glance to be in conflict with these models. Overall, we encourage future studies to: (i) mimic ecological conditions in which those patterns evolve, and (ii) take advantage of the 'omic' opportunities to produce multi-level data and analytical models that effectively integrate across physiological and evolutionary theory.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.