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DOI 10.1186/s12862-014-0194-z

Медицинская библиотека · BMC evolutionary biology · 2014

Basal metabolic rate and maternal energetic investment durations in mammals.

Jackson Gabrielle, Mooers Arne Ø, Dubman Evgenia, Hutchen Jenna, Collard Mark

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

The Metabolic Theory of Ecology (MTE) predicts that gestation duration, lactation duration, and their sum, total development time, are constrained by mass-specific basal metabolic rate such that they should scale with body mass with an exponent of 0.25. However, tests of the MTE's predictions have yielded mixed results. In an effort to resolve this uncertainty, we used phylogenetically-controlled regression to investigate the allometries of gestation duration, lactation duration, and total development time in four well-studied mammalian orders, Artiodactyla, Carnivora, Primates, and Rodentia.

RESULTS

The results we obtained are not consistent with the predictions of the MTE. Gestation duration scaling exponents are below 0.25 in all four orders. The scaling exponent for lactation duration is below 0.25 in Carnivora and Rodentia, indistinguishable from 0.25 in Artiodactyls, and steeper than 0.25 in Primates. Total development time scales with body mass as predicted by the MTE in Primates, but not in artiodactyls, carnivores, and rodents. In the latter three orders, the exponent is 0.15.

CONCLUSIONS

Together, these results indicate that the influence of basal metabolic rate on mammalian maternal investment durations must be more complicated than the MTE envisages, and that other factors must play an important role. Future research needs to allow for the possibility that different factors drive gestation duration and lactation duration, and that the drivers of the two durations may differ among orders.

Для цитирования: Jackson Gabrielle, Mooers Arne Ø, Dubman Evgenia, Hutchen Jenna, Collard Mark. Basal metabolic rate and maternal energetic investment durations in mammals.. BMC evolutionary biology. 2014. DOI: 10.1186/s12862-014-0194-z.

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