Showing posts with label primates. Show all posts
Showing posts with label primates. Show all posts

Sunday, May 3, 2009

The Life and Times of Australopithecus - a colloquium @CSUF this Monday

As the semester winds down, we have a special treat on campus this Monday, when the Biology colloquium series winds down for the semester with a lecture by paleoanthropologist Dr. Kaye Reed, of the Institute of Human Origin at Arizona State University, on "The Life and Times of Australopithecus" . This lecture is co-sponsored by the Tri-Beta Biological Honors Society and the Consortium for Evolutionary Studies at CSU-Fresno, and is part of our ongoing series celebrating Darwin Bicentennial year. Dr. Reed has been working in Ethiopia and other parts of Africa, places where some of the most important and exciting hominin fossils (such as the famous Australopithecine, Lucy seen in the reconstructed portrait here) have been discovered. Her specialization is paleoecology with a focus on reconstructing the ecological communities within which our own lineage evolved. So it should be a very exciting lecture - I hope to see you there (especially if you are taking one of my classes!)!


Spatiotemporal coordinates: Monday, May 4, 2009 @3:00PM in Room 109 of Science II building, CSU-Fresno (of course!).


Website for additional details: Darwin's Bulldogs.


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Thursday, October 23, 2008

Cellular scaling rules and primate brains - revisited

ResearchBlogging.orgKelsey Faria blogs about a paper, earlier reviewed here, for her contribution to the Evolution class.



The order of Primates is known for a variety of species that are energetic, inquisitive, social, and intelligent. Whereas the order of Rodentia typically lack the range or number of skills that primates encompass. Theses differences seem to put these two orders in completely different categories, although species in each order have relatively similar brain sizes. So the question arises what could be different about their brains that it affects their behavior? The question raises the possibility that primate brains differ from rodent brains in their cellular composition (Herculano-Houzel et al 2006).



The authors examined the cellular scaling rules for primate brains and show that brain size increases isometrically as a function of cell numbers. This isometric function is in contrast to rodent brains. Rodent brains have the ability to increase faster in size than in numbers of neurons. As a result of the linear cellular scaling rules, primate brains have a larger number of neurons than rodent brains of similar size (Herculano-Houzel et al 2006). In all probability this would give primates an advantage over the rodents which may explain the richer behavioral repertories and better cognitive abilities (Herculano-Houzel et al 2006).



Brain size fluctuates across mammalian species, and several studies have focused on finding any shared regularities behind brain morphology and cellular composition across species with different brain sizes. With these regularities this leaves room to discover new hypothesis about the underlying development and evolution of the brain. Studies have proven that animals from different species differ in their behavioral repertoires, and one would assume differences in cellular composition of the brain



The authors conducted an analysis in which cellular scaling rules were applied to rodents and primate brains. They concluded that the average neuronal size is larger in larger brains, whereas the average non-neuronal cell size remains comparatively stable. They also discovered that the neuron ratio increases with increasing brain size (Herculano-Houzel et al 2006).



With the information collected through this analysis the authors were interested in applying the scaling rules to other mammalian orders. There main goal was to set rules that can be applied to all brains and possibly reflect characteristics from a common ancestor which would conclude why there is a phylogenetic variance across orders. They were particularly interested in cellular scaling differences that might have arisen in primates. If the same rules relating numbers of neurons to brain size in rodents also applied to primates, a brain comparable to ours, with approximately 100 billion neurons, would weigh approximately 45 kg and belong to a body of 109 tons, about the mass of the heaviest living mammal, the blue whale (Herculano-Houzel et al 2006).



Inevitably their study indicates that there must be scaling differences between rodent and primates due to their behavior relative to similar brain size. The authors used the isotropic fractionators, which is a non-stereological method, which estimates the total number of neuronal and non neuronal cells in the cerebral cortex, cerebellum, and remaining structures of the brain (Herculano-Houzel et al 2006). They examined across six species of the order Primata, from Callithrix to Macaca, and in the closely related tree shrew, which is in the order Scandentia.



From the results gathered the authors concluded that the cellular scaling rules for primate brains differ from those of rodents. There was a distinct difference between the primate brains and rodent brains, primate brains do not hyper scale as they gain neurons, as rodent brains do. Primate brains also increase in size according to their number of neuronal cells which means that the average neuronal cell remains constant. The rodent brains increase in size faster than they gain neurons, which results in a increasing in the average neuronal cell size. When looking at neuronal densities they remain stable in primates and they tend to decrease in rodent brains. Primate ratios of non-neuronal neuronal cells to Mbr (brain mass) do not correlate although rodent’s ratios do.



The authors also included the tree shrews included in the experiment did not alter the results. Therefore the tree shrews are in fact a close relative of the primates and they to conform to the primate scaling rules.



Some implications for humans according to the data are that larger brains do not have a larger relative number of neurons in the cerebral cortex. From their results both the cerebral cortex and the cerebellum represent fractions of brain mass but do not differ significantly with an increase in brain size. Although, relative cortical size is seen to increase significantly with increasing brain size when larger species, such as great apes and humans, are considered (Herculano-Houzel et al 2006). It will be interesting to see if these scaling rules will apply if and when the addition of apes and humans are included in the experiment. A primate brain containing 100 billion neurons would be expected to weigh about 1,450 g and belong to a body of 72.7 kg, values that match the average mass of a human’s brain and body. This would conclude that humans and their brains are in fact isometrically scaled up versions of a common primate plan (Herculano-Houzel et al 2006).



Reference:



Suzana Herculano-Houzel, C. E. C., Peiyan Wong, and Jon H. Kaas (2006). "Cellular scaling rules for primate brains." Proceedings of the National Academy of Sciences 104(9): 3562–3567. doi: 10.1073/pnas.0611396104.


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Thursday, April 17, 2008

Get bigger brains to live (and make babies) longer

ResearchBlogging.orgHere's another interesting paper waiting in the publication pipeline at the Journal of Human Evolution on brain size and life history in primates. Should be fun to chew on following on the heels of Heidi Rivera's post about cellular scaling rules which has generated some interesting discussion. Look below the fold for the abstract of the paper, and my own first impressions (and email me if you want the pdf):


Life history costs and benefits of encephalization: a comparative test using data from long-term studies of primates in the wild


Nancy L. Barrickman, Meredith L. Bastian, Karin Isler, and Carel P. van Schaik


Abstract


The correlation between brain size and life history has been investigated in many previous studies, and several viable explanations have been proposed. However, the results of these studies are often at odds, causing uncertainties about whether these two character complexes underwent correlated evolution. These disparities could arise from the mixture of wild and captive values in the datasets, potentially obscuring real relationships, and from differences in the methods of controlling for phylogenetic non independence of species values. This paper seeks to resolve these difficulties by (1) proposing an overarching hypothesis that encompasses many of the previously proposed hypotheses, and (2) testing the predictions of this hypothesis using rigorously compiled data and utilizing multiple methods of analysis. We hypothesize that the adaptive benefit of increased encephalization is an increase in reproductive lifespan or efficiency, which must be sufficient to outweigh the costs due to growing and maturing the larger brain. These costs and benefits are directly reflected in the length of life history stages. We tested this hypothesis on a wide range of primate species. Our results demonstrate that encephalization is significantly correlated with prolongation of all stages of developmental life history except the lactational period, and is significantly correlated with an extension of the reproductive lifespan. These results support the contention that the link between brain size and life history is caused by a balance between the costs of growing a brain and the survival benefits the brain provides. Thus, our results suggest that the evolution of prolonged life history during human evolution is caused by increased encephalization.


Here's the key figure demonstrating the main correlations between brain growth (x-axis) and (a) lactational period, (b) juvenile period, and (c) Age @ First Reproduction, all after controlling for the effects of body growth:


primate_brain_life-history_Fig3.jpg


This leads the authors to argue that the high cost of growing all that brain tissue is offset by prolonging juvenile and reproductive phases. The juvenile phase is when the brain apparently grows faster than the body in most primates (which is why there is no correlation in panel (a) of the figure). In turn, species with larger brains have better survival over longer juvenile and reproductive phases in their life history. In other words, species that have bigger brains pay the cost of growing more of the most expensive tissue in the body, but benefit by being smarter at foraging, avoiding predators, and generally living and fornicating over longer periods than their smaller-brained counterparts. Note that having a bigger brain is not correlated with an increase in reproductive output at any given time, just the prolongation of the reproductive phase oveall - which, I suspect, may leave you with greater lifetime reproductive success (=fitness) in any case.


The argument of the paper is strengthened by the fact that they draw mostly upon datasets from wild populations that have been studied for long enough to document a boat-load of life history parameters (including gestation length; interbirth interval between surviving offspring; lactational period; juvenile/adolescent period; age at first reproduction for females; life expectancy at AFR, or the inverse of mortality rate; adult lifespan) - so they are analyzing real-life situations faced by these primates in the wild, and not more benign or stressful conditions in captivity. They also used a phylogenetic comparative method in analyzing correlations such as shown in the above figure - i.e., they removed or controlled for effects of phylogeny.


So, do you buy the causal argument (at the end of the abstract) that increased brain size is what caused the life-history phases to lengthen? Or is it the other way around? What does the correlation tell us about causation in this case? Myself - I'd have to say I like the correlations, but have to digest the paper some more before I completely buy the causal argument.


So what else are we doing as the primate with the most brains, and longest active sex lives? Well, cutting down on our reproduction (or trying to anyway), for one thing. And also, apparently trying to decouple brain growth from body growth entirely - in other domesticated animals - even thinking about producing animals with more meat and much less brain! Why? So we can have more meat to eat, of course, without having to worry about animal rights issues, presumably! Now that's an interesting direction to go in, opposite from the self-sacrificing talking cow imagined by Douglas Adams in "The Restaurant at the End of the Universe"!


[Hat-tip to Afarensis]

Reference:


BARRICKMAN, N., BASTIAN, M., ISLER, K., VANSCHAIK, C. (2007). Life history costs and benefits of encephalization: a comparative test using data from long-term studies of primates in the wild. Journal of Human Evolution DOI: 10.1016/j.jhevol.2007.08.012


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Friday, April 11, 2008

On Cellular Scaling Rules for Primate Brains

ResearchBlogging.orgStudent post submitted by Heidi K. Rivera.


Why are primates smarter than rodents with similar-sized brains? To get the full explanation read this paper. Or, in short, read on. This paper analyzed the cellular scaling rules of primate brain sizes and cellular composition across six species of primates (marmoset (pictured here), galagos, owl monkey, squirrel monkey, rhesus monkey and the tree shrew). In a previous paper, the authors described the cellular scaling rules that apply to rodent brains. That research showed that rodent brain scales hypermetrically as a function of its numbers of neurons and that the average of neuronal size is bigger in larger brains, while the average nonneuronal cell size remains relatively stable.Marmoset.jpg


The results of that study encouraged the scientists to extend their research to other mammalian species. Would this reflect the characteristics or traits inherited from a common ancestor? This begged the question, “what rules differ across orders of mammals, and thus might account for phylogenetic variance across groups?” After doing some calculations, they found that if the same cellular scaling rules for rodents applied to primate brains, “a brain comparable to ours, with approximately 100 billion neurons, would weigh >45 kg and belong to a body of 109 tons, about the mass of the heaviest living mammal, the blue whale!” Realizing this obviously indicated that the cellular scaling rules differ between rodents and primates. This is also supported by the fact that it is know that rodents and primates have very different cognitive abilities even when they have a similar brain size. The main difference in the cellular scaling rules for building rodent and primate brains is that increased numbers of neurons in primates are not accompanied by decreased neuronal densities, indicating that the average neuronal cell size remains stable across primate species. After completing their research, they found that primate brain sizes increase isometrically with body size across primate species. Primate brains increase in size as a linear function while rodent brains hyperscale as they gain neurons. This suggests that, “there has been a selective pressure against increase in average neuronal size with brain size.” This type of increase allowed primate brains to accumulate large numbers of neurons without becoming prohibitively large. If the rodent cellular scaling model applied to say, the macaque brain, which has approximately 6.4 billion neurons, would weigh about 575g instead of it’s actual weight of 87g! “These findings suggest that the divergence of primate evolution away from the common ancestor with rodents involved mechanisms that favored the concentration of larger numbers of neurons per unit volume of brain tissue.” The larger number of neurons per unit volume apparently provides primates with a larger computational capacity than rodent brains of the same size. This answers the question of why primates are smarter than rodents with similar-sized brains. They concluded with possibly applying the research found from both the rodent paper and this paper to apes and humans. My question is whether this “model” of cellular scaling and cellular composition can be applied to other species. What about reptiles or amphibians? What do you think?


Reference:


Herculano-Houzel, S., Collins, C.E., Wong, P., Kaas, J.H. (2007). Cellular scaling rules for primate brains. Proceedings of the National Academy of Sciences, 104(9), 3562-3567. DOI: 10.1073/pnas.0611396104


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Exposing Deeper Roots of Chimpanzee Culture

ResearchBlogging.orgStudent post submitted by Scott Brown.


kanziknappingb.jpgA recent study performed in the tropical rain forests of Western Africa has generated a lot of interest and discussion into ancient chimpanzee cultures. The excavation of stone tools dating back 4,300 years has changed a lot of preconceived notions about how chimps acquired this food gathering technique. Modern chimps use large, heavy granite stones to pummel Panda nuts to extract the fruit within the hard exterior shell. The history of chimps performing this task previously dated back only to the 19th century, so many experts believed that this technique was developed from chimps imitating humans. The new stones, excavated by a team led by Julio Mercader of the University of Calgary, predate any known human inhabitants of Noulo at Cote d'Ivoire in the Ivory Coast's Tai National Park. Researchers had previously theorized that chimps learned this technique from ancient humans, and this imitation was passed down through generations. If chimps manufactured and used tools without the presence of humans, it can now be theorized that chimps either developed this idea independently as a result of independent technological convergence, or chimps may share a common ancestor with early humans that first learned this pummelling technique.


070212184608.jpg The dig was conducted in the only known ancient chimpanzee rain forest settlement. Researchers dug down several meters to find charcoal samples that indicated that sedimentary depositions from the area dated back 4,300 years. From the dig, researchers collected 206 stones that exhibited unnatural chipping characteristic of repetitive pummelling. These stones were mixed with other similar naturally broken stones and tested by three examiners. These specialists of ancient stones proved the collected stones were not geofacts and indeed broken by a physical force applied by an agent. The stones averaged 12.6 inches in length, 4.5 pounds in weight, and most of them were Granite. All three of these characteristics correlate to the average rock parameters preferred by modern local chimps when choosing a pummelling stone. The size of hands required to slam such a large stone and the starch residues found on the rocks indicate that the original agent was chimp rather than human. So if these stones were in fact used by ancient chimps in the late stone age, what light can be shed onto the development of their culture and intellect during this prehistoric time.


In order to smash a fruit with a stone, a certain extent of socialization and culture must be implied. Simple tasks such as selection of proper rocks and movement of the rock to where the fruit is located is somewhat simple. But the social network that is required for the passing down of this complicated action from one generation to the next should not be underestimated. Previous studies conducted by one of the scientists involved with the dig, Christoph Boesch, suggest that modern chimps undergo a seven year internship with elder members of the troop in order to successfully pummel their own fruit. There would need to be a significant accumulation of generations practicing this technique before it became established enough to generate 206 pummeling stones in the same area. If you consider the rocks dated back 4,300 years, they should indicate that the roots of primate intelligence run much deeper and older than previously estimated. It was found in the 1980's by Jane Goodall that chimps are capable of considerable understanding, but it is now apparent that they have been exhibiting characteristics of established culture for thousands of years.


Reference:





Mercader, J., Barton, H., Gillespie, J., Harris, J., Kuhn, S., Tyler, R., Boesch, C. (2007). 4,300-Year-old chimpanzee sites and the origins of percussive stone technology. Proceedings of the National Academy of Sciences, 104(9), 3043-3048. DOI: 10.1073/pnas.0607909104




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