Evidence map›Paper›PMID 39526885›Full record

ArticleeLife2024

Body mass and growth rates predict protein intake across animals.

Stav Talal, Jon F Harrison, Ruth Farington, Jacob P Youngblood, Hector E Medina, Rick Overson, Arianne J Cease

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stav TalalSchool of Life Sciences, Arizona State University, Tempe, United States.ORCID https://orcid.org/0000-0003-1181-5291
Jon F HarrisonSchool of Life Sciences, Arizona State University, Tempe, United States.ORCID https://orcid.org/0000-0001-5223-216X
Ruth FaringtonSchool of Life Sciences, Arizona State University, Tempe, United States.
Jacob P YoungbloodSchool of Life Sciences, Arizona State University, Tempe, United States.
Hector E MedinaDirección de Sanidad Vegetal, Buenos Aires, Argentina.
Rick OversonSchool of Life Sciences, Arizona State University, Tempe, United States.
Arianne J CeaseSchool of Life Sciences, Arizona State University, Tempe, United States.

Funding

National Science Foundation NSF IOS-1826848US-Israel Binational Agricultural Research and Development Fund BARD FI-575-2018
6 · The paper itself

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.

Indexed as

Dietary ProteinsAnimalsBody SizeBody WeightDietary CarbohydratesFeeding BehaviorDietary CarbohydratesDietary Proteinsdevelopmental biologyecologygrowth ratesintake targetmacronutrientsnutritional ecologyontogenyprotein requirments

Identifiers

PMID39526885
PMCPMC11587531

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.