Literature DB >> 28125804

Cellular Scaling Rules for the Brains of Marsupials: Not as "Primitive" as Expected.

Sandra E Dos Santos1, Jairo Porfirio, Felipe B da Cunha, Paul R Manger, William Tavares, Leila Pessoa, Mary Ann Raghanti, Chet C Sherwood, Suzana Herculano-Houzel.   

Abstract

In the effort to understand the evolution of mammalian brains, we have found that common relationships between brain structure mass and numbers of nonneuronal (glial and vascular) cells apply across eutherian mammals, but brain structure mass scales differently with numbers of neurons across structures and across primate and nonprimate clades. This suggests that the ancestral scaling rules for mammalian brains are those shared by extant nonprimate eutherians - but do these scaling relationships apply to marsupials, a sister group to eutherians that diverged early in mammalian evolution? Here we examine the cellular composition of the brains of 10 species of marsupials. We show that brain structure mass scales with numbers of nonneuronal cells, and numbers of cerebellar neurons scale with numbers of cerebral cortical neurons, comparable to what we have found in eutherians. These shared scaling relationships are therefore indicative of mechanisms that have been conserved since the first therians. In contrast, while marsupials share with nonprimate eutherians the scaling of cerebral cortex mass with number of neurons, their cerebella have more neurons than nonprimate eutherian cerebella of a similar mass, and their rest of brain has fewer neurons than eutherian structures of a similar mass. Moreover, Australasian marsupials exhibit ratios of neurons in the cerebral cortex and cerebellum over the rest of the brain, comparable to artiodactyls and primates. Our results suggest that Australasian marsupials have diverged from the ancestral Theria neuronal scaling rules, and support the suggestion that the scaling of average neuronal cell size with increasing numbers of neurons varies in evolution independently of the allocation of neurons across structures.
© 2017 S. Karger AG, Basel.

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Year:  2017        PMID: 28125804     DOI: 10.1159/000452856

Source DB:  PubMed          Journal:  Brain Behav Evol        ISSN: 0006-8977            Impact factor:   1.808


  9 in total

1.  White matter volume and white/gray matter ratio in mammalian species as a consequence of the universal scaling of cortical folding.

Authors:  Bruno Mota; Sandra E Dos Santos; Lissa Ventura-Antunes; Débora Jardim-Messeder; Kleber Neves; Rodrigo S Kazu; Stephen Noctor; Kelly Lambert; Mads F Bertelsen; Paul R Manger; Chet C Sherwood; Jon H Kaas; Suzana Herculano-Houzel
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-08       Impact factor: 11.205

2.  Similar Microglial Cell Densities across Brain Structures and Mammalian Species: Implications for Brain Tissue Function.

Authors:  Sandra E Dos Santos; Marcelle Medeiros; Jairo Porfirio; William Tavares; Leila Pessôa; Lea Grinberg; Renata E P Leite; Renata E L Ferretti-Rebustini; Claudia K Suemoto; Wilson Jacob Filho; Stephen C Noctor; Chet C Sherwood; Jon H Kaas; Paul R Manger; Suzana Herculano-Houzel
Journal:  J Neurosci       Date:  2020-04-06       Impact factor: 6.167

Review 3.  The evolution of brain structure captured in stereotyped cell count and cell type distributions.

Authors:  Pavel Němec; Pavel Osten
Journal:  Curr Opin Neurobiol       Date:  2020-01-14       Impact factor: 6.627

4.  Brain size and neuron numbers drive differences in yawn duration across mammals and birds.

Authors:  Jorg J M Massen; Margarita Hartlieb; Jordan S Martin; Elisabeth B Leitgeb; Jasmin Hockl; Martin Kocourek; Seweryn Olkowicz; Yicheng Zhang; Christin Osadnik; Jorrit W Verkleij; Thomas Bugnyar; Pavel Němec; Andrew C Gallup
Journal:  Commun Biol       Date:  2021-05-06

5.  Dogs Have the Most Neurons, Though Not the Largest Brain: Trade-Off between Body Mass and Number of Neurons in the Cerebral Cortex of Large Carnivoran Species.

Authors:  Débora Jardim-Messeder; Kelly Lambert; Stephen Noctor; Fernanda M Pestana; Maria E de Castro Leal; Mads F Bertelsen; Abdulaziz N Alagaili; Osama B Mohammad; Paul R Manger; Suzana Herculano-Houzel
Journal:  Front Neuroanat       Date:  2017-12-12       Impact factor: 3.856

6.  Artificial selection on brain size leads to matching changes in overall number of neurons.

Authors:  Lucie Marhounová; Alexander Kotrschal; Kristina Kverková; Niclas Kolm; Pavel Němec
Journal:  Evolution       Date:  2019-08-01       Impact factor: 3.694

7.  The evolution of brain neuron numbers in amniotes.

Authors:  Kristina Kverková; Lucie Marhounová; Alexandra Polonyiová; Martin Kocourek; Yicheng Zhang; Seweryn Olkowicz; Barbora Straková; Zuzana Pavelková; Roman Vodička; Daniel Frynta; Pavel Němec
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-07       Impact factor: 11.205

8.  Comparative Study of Brain Size Ontogeny: Marsupials and Placental Mammals.

Authors:  Carmen De Miguel; Arthur Saniotis; Agata Cieślik; Maciej Henneberg
Journal:  Biology (Basel)       Date:  2022-06-10

9.  The evolution of quantitative sensitivity.

Authors:  Margaret A H Bryer; Sarah E Koopman; Jessica F Cantlon; Steven T Piantadosi; Evan L MacLean; Joseph M Baker; Michael J Beran; Sarah M Jones; Kerry E Jordan; Salif Mahamane; Andreas Nieder; Bonnie M Perdue; Friederike Range; Jeffrey R Stevens; Masaki Tomonaga; Dorottya J Ujfalussy; Jennifer Vonk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-27       Impact factor: 6.671

  9 in total

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