The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Cellular Scaling Rules for the Brains of Marsupials: Not as “Primitive” as Expected
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.
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Citations
Cites
Specification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127
NeuN, a neuronal specific nuclear protein in vertebratesxs
Mullen, R. J., Buck, C. R., & Smith, A. M. (1992) · Development · doi:10.1242/dev.116.1.201 · Cited by 2,351
Azevedo, F. A. C., Carvalho, L. R. B., Grinberg, L. T., Farfel, J. M., Ferretti, R. E. L., Leite, R. E. P., Filho, W. J., Lent, R., & Herculano‐Houzel, S. (2009) · Journal of Comparative Neurology · doi:10.1002/cne.21974 · Cited by 2,337
Self-citationThe delayed rise of present-day mammals
Bininda-Emonds, O. R. P., Cardillo, M., Jones, K. E., MacPhee, R. D. E., Beck, R. M. D., Grenyer, R., Price, S. A., Vos, R. A., Gittleman, J. L., & Purvis, A. (2007) · Nature · doi:10.1038/nature05634 · Cited by 2,082
Social intelligence, innovation, and enhanced brain size in primates
Reader, S. M., & Laland, K. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.062041299 · Cited by 1,126
Herculano‐Houzel, S. (2014) · Glia · doi:10.1002/glia.22683 · Cited by 731
Self-citationThe glial identity of neural stem cells
Doetsch, F. (2003) · Nature Neuroscience · doi:10.1038/nn1144 · Cited by 724
Andreasen, N. C., O'Leary, D. S., Cizadlo, T., Arndt, S., Rezai, K., Ponto, L. L., Watkins, G. L., & Hichwa, R. D. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.18.9985 · Cited by 625
Birds have primate-like numbers of neurons in the forebrain
Olkowicz, S., Kocourek, M., Lučan, R. K., Porteš, M., Fitch, W. T., Herculano-Houzel, S., & Němec, P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517131113 · Cited by 564 · cited 1×
“…[Mullen et al., 1992; Gittins and Harrison, 2004] and evolutionarily conserved enough that the same polyclonal antibody stains all nuclei with anatomical characteristics of neurons, and only those, not only in mammals but also in crocodiles [Ngwenya et al., 2016] and birds [Olkowicz et al., 2016].”
BackgroundSelf-citationEvolution of increased glia–neuron ratios in the human frontal cortex
Sherwood, C. C., Stimpson, C. D., Raghanti, M. A., Wildman, D. E., Uddin, M., Grossman, L. I., Goodman, M., Redmond, J. C., Bonar, C. J., Erwin, J. M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605843103 · Cited by 342
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Cited by
The WU-Minn Human Connectome Project: An overview
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651
Revised Estimates for the Number of Human and Bacteria Cells in the Body
Sender, R., Fuchs, S., & Milo, R. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002533 · Cited by 5,425
23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470
The Human Connectome Project: A data acquisition perspective
Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.018 · Cited by 2,680
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775
Metadata
- Authors
- Dos Santos, S. E., Porfirio, J., da Cunha, F. B., Manger, P. R., Tavares, W., Pessoa, L., Raghanti, M. A., Sherwood, C. C., & Herculano-Houzel, S.
- Venue
- Brain, Behavior and Evolution
- Publisher
- S. Karger AG
- Published
- 2017
- Volume
- 89
- Issue
- 1
- Pages
- 48-63
- ISSN
- 0006-8977 (ISSN-L)
- 1421-9743
- OpenAlex
- W2581259096
- Cited by
- 2,642
- References
- 21
- FWCI
- 144.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dos Santos, S. E., Porfirio, J., da Cunha, F. B., Manger, P. R., Tavares, W., Pessoa, L., Raghanti, M. A., Sherwood, C. C., & Herculano-Houzel, S. (2017). Cellular Scaling Rules for the Brains of Marsupials: Not as “Primitive” as Expected. Brain, Behavior and Evolution. https://doi.org/10.1159/000452856
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