Evidence map›Paper›PMID 38380562›Full record

SynthesisThe Journal of experimental biology2024

Per capita sperm metabolism is density dependent.

Ashley E Potter, Craig R White, Dustin J Marshall

Abstract readSystematic Review
In one paragraph

Synthesis in The Journal of experimental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Per capita sperm metabolism is density dependent.The Journal of experimental biology · 2024
    Pooled it
  2. Review
  3. Article
  4. 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

3 authors.

Ashley E PotterCentre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0002-1913-4813
Craig R WhiteCentre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0002-0200-2187
Dustin J MarshallCentre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.

Funding

Monash University
6 · The paper itself

Abstract

From bacteria to metazoans, higher density populations have lower per capita metabolic rates than lower density populations. The negative covariance between population density and metabolic rate is thought to represent a form of adaptive metabolic plasticity. A relationship between density and metabolism was actually first noted 100 years ago, and was focused on spermatozoa; even then, it was postulated that adaptive plasticity drove this pattern. Since then, contemporary studies of sperm metabolism specifically assume that sperm concentration has no effect on metabolism and that sperm metabolic rates show no adaptive plasticity. We did a systematic review to estimate the relationship between sperm aerobic metabolism and sperm concentration, for 198 estimates spanning 49 species, from protostomes to humans from 88 studies. We found strong evidence that per capita metabolic rates are concentration dependent: both within and among species, sperm have lower metabolisms in dense ejaculates, but increase their metabolism when diluted. On average, a 10-fold decrease in sperm concentration increased per capita metabolic rate by 35%. Metabolic plasticity in sperm appears to be an adaptive response, whereby sperm maximize their chances of encountering eggs.

Indexed as

SpermatozoaAnimalsEnergy MetabolismHumansMalePopulation DensitySperm CountMetabolic ecology of gametesMetabolic plasticityRespiratory dilution effectSperm oxygen consumptionSperm respiration

Identifiers

PMID38380562
PMCPMC11006396

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.