Body mass and growth rates predict protein intake across animals

Organisms require dietary macronutrients in specific ratios to maximize performance, and variation in macronutrient requirements plays a central role in niche determination. Although it is well recognized that development and body size can have strong and predictable effects on many aspects of organismal function, we lack a predictive understanding of ontogenetic or scaling effects on macronutrient intake. We determined protein and carbohydrate intake throughout development on lab populations of locusts and compared to late instars of field populations. Self-selected protein:carbohydrate targets declined dramatically through ontogeny, due primarily to declines in mass-specific protein consumption rates which were highly correlated with declines in specific growth rates. Lab results for protein consumption rates partly matched results from field-collected locusts. However, field locusts consumed nearly double the carbohydrate, likely due to higher activity and metabolic rates. Combining our results with the available data for animals, both across species and during ontogeny, protein consumption scaled predictably and hypometrically, demonstrating a new scaling rule key for understanding nutritional ecology.

Authors

Institutions

Publication Details

Journal
eLife
Published
2024-09-30
DOI
https://doi.org/10.7554/elife.88933
Citations
3
Primary Topic
Physiological and biochemical adaptations
Type
article
Field-Weighted Citation Impact
1.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Body mass and growth rates predict protein intake across animals

Jacob P. Youngblood, Rick Overson, Arianne Cease, Ruth Farington et al.
3 citations
eLife
Physiological and biochemical adaptations
1.38
article

Body mass and growth rates predict protein intake across animals

Jacob P. Youngblood, Rick Overson, Arianne Cease, Ruth Farington, Stav Talal, Jon F. Harrison, Héctor E. Medina
article en
3 citations

Abstract

Organisms require dietary macronutrients in specific ratios to maximize performance, and variation in macronutrient requirements plays a central role in niche determination. Although it is well recognized that development and body size can have strong and predictable effects on many aspects of organismal function, we lack a predictive understanding of ontogenetic or scaling effects on macronutrient intake. We determined protein and carbohydrate intake throughout development on lab populations of locusts and compared to late instars of field populations. Self-selected protein:carbohydrate targets declined dramatically through ontogeny, due primarily to declines in mass-specific protein consumption rates which were highly correlated with declines in specific growth rates. Lab results for protein consumption rates partly matched results from field-collected locusts. However, field locusts consumed nearly double the carbohydrate, likely due to higher activity and metabolic rates. Combining our results with the available data for animals, both across species and during ontogeny, protein consumption scaled predictably and hypometrically, demonstrating a new scaling rule key for understanding nutritional ecology.

eLifeVol. 13
Arizona State University (US), Southern Oregon University (US)
National Science Foundation, United States - Israel Binational Agricultural Research and Development Fund
Zero hunger
Openalex Percentile: Top 17%
Physiological and biochemical adaptations
1.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Body mass and growth rates predict protein intake across animals — Jacob P. Youngblood, Rick Overson, et al. · eLife (2024) | TGRS Research Map | TGRS