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Per capita sperm metabolism is density dependent.
Potter, Ashley E; White, Craig R; Marshall, Dustin J.
Afiliação
  • Potter AE; Centre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.
  • White CR; Centre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.
  • Marshall DJ; Centre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.
J Exp Biol ; 227(6)2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38380562
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Exp Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Exp Biol Ano de publicação: 2024 Tipo de documento: Article