Showing posts with label phylogenetics. Show all posts
Showing posts with label phylogenetics. Show all posts

March 3, 2023

Ancient Embryogenesis and Evolutionary Origins

"Darwin as an Embryo". In this case, Neoteny really does recapitulates Phylogeny! COURTESY: Stable Diffusion.

For this year's delayed Darwin Day post, I will present some of the latest work on ancient embryos which we have been discussing in the DevoWorm group meetings. While this is by no means a complete review, we will discuss the earliest fossil evidence for eggs, embryos, and nervous systems (in animals, not plants), in addition to the conditions that lead to their emergence. In short, how did we get to embryos from a universal common ancestor with bacteria and archebacteria, and why do only different types of Eukaryotes (plants, radial symmetrical Metazoans, and bilateral Metazoans) have embryos?

Tree of Life (genome tree) from Hug et.al [1] with three domains. Click to enlarge.

The ecological states of early Earth. COURTESY: J. Hirshfeld/Wikimedia. Click to enlarge.

We begin in the Cambrian, where the firs bilaterian appeared around 600 million years ago, approximately 70-80 million years before the Cambrian explosion [2]. In between the emergence of bilaterians, several key innovations occurred that suggests the origins of embryos and egg-laying. The first are the presence of fossilized burrows [2] for egg-laying behaviors. By the end of the Cambrian explosion, early pancrustecean arthropod species were possibly subject to life-history tradeoffs related to clutch size [3]. Another key innovation is direct evidence in the form of well-preserved multicellular structures from the period leading up to the Cambrian explosion that show a transition in cell geometry from a 2-cell stage to a cleavage stage [4]. As representative of a variety of ancestral algae species from the Doushantuo formation, these remains have not been connected to any particular adult form. However, they do demonstrate oogenesis and cleavage [2]. Finally, the functional genomics of developmental pattern formation emerged during this time [5]. This includes a ProtoHox cluster in ancestral cnidarians [6], Hox gene duplication [7], and an increase in body size and shape diversity alongside the advent of bilaterian bauplans [8]. Multiple Hox gene families may have served the role of promoting directed locomotion that in turn promoted active exploration of the environment [7].

Images of a potential early embryo, including the 2-cell and cleavage stages [from 4]. Click to enlarge.

The Ediacaran (630-540 million years ago) has yielded a large number of potential embryonic forms. In the Ediacaran biota, we find a number of Metazoan remains with no clear phylogenetic position. However, Evans et.al [9] propose that early embryos evolved independently (with several origins) in the bilaterian clade. However, during this time, a number of general trends emerge that enabled modern bilaterian adult forms. As previously discussed, Multicellular structures with distinct cell types, axial polarity, and anatomical segmentation [10, 11] emerged during this time. Left-right symmetry was a related feature of these embryos [11]. So-called polarized elements [12] such as microtubules, flagella, and apical-to-basal orientation were all found soon after the last Eukaryotic common ancestor (LECA). The evolution and diversification of polarity proteins is consistent with this timeline [12]. Other organismal structures such as a gut, sub-specialization of the phenotype, and a nervous system with heads and appendages are also features of note. We will talk about the emergence of nervous systems later on.

Scenario for the origins of development in bilaterians from [9]. Click to enlarge.

Bicellum brasieri is a 109 year old fossil holozoan that might provide the very earliest examples of modern embryos and embryogenesis [13]. Microfossils of Bicellum demonstrate morphogenesis in the form of cell-cell adhesion for different cell types, as well as differential layers of cells (driven by adhesion) which may be the precursors of tissue differentiation. This can be compared to the Doushantuo embryos from Precambrian China [14], and Caveasphera from 609 million years ago [15], which are perhaps the direct ancestors of Metazoan embryonic forms. These are the first examples of development proceeding within an enclosed space, enabled by cell adhesion similar to what is observed during gastrulation in modern embryos. Caveasphera in particular shows evidence of anatomical polarization (particularly polar aggregation), cell division events, and ingression [15]. This is informative but is not diagnostic of the Urmetazoan condition [16].


Graphical abstract and (top) palynological evidence of Bicellum brasieri (bottom) as shown in [13]. Epidermal layer (A and C), ellipsoid (D) and oblate (E) specimens Click to enlarge.

Since these pre-Cambrian explosion phenotypes are very simple, we can look to fossil evidence for much more complex embryo phenotypes in the late Cretaceous. Xing et.al [17] report on an in-ovo therapod dinosaur embryo, where the body is folded into an elongated egg. The authors are able to demonstrate how the fully formed head and legs are folded into different prehatching postures.


Graphical abstract showing developmental stages of Caveasphera [15]. Click to enlarge.

While the early phylogeny of nervous system origins is the very definition of a tangled tree [18], the first nervous systems coincide with the emergence of discrete body types in the Cambrian [19]. Brains emerged in part from the developmental toolkit responsible for patterning and segmentation [20]. This toolkit consists of genes and regulatory mechanisms that were co-opted for the development of excitable cells [21], synapses [22], and neuronal networks [2]. While the strongest evidence for early embryos only show evidence for bilaterian organization, radial symmetry is actually the basal condition for Metazoans [23]. Therefore, early embryos should yield at least two types of nervous system configurations that are observed in modern phenotypes: a centralized nervous system that converges in the head (the brains of bilaterians), and a distributed nervous system (the nerve nets of cnidarians). Centralized nervous systems originated from the mesoderm layer of triploblastic embryos, while distributed nervous systems are derived from the endoderm of diploblastic embryos. While there is a distinct literature on fossil radial embryos from China [24], there does not seem to be fossil evidence of germ layers formation and subsequent differentiation in any early embryos to date.

Image of Baby Yingliang (therapod dinosaur late-stage embryo) [17]. Click to enlarge.

But what happened before the earliest embryos (1000-650 million years ago)? What ecological conditions might have driven this innovation? One trigger may have been the great oxygenation event, which occurred in two stages: the first at 2.4 billion years ago, and the second at 950 million years ago. It was the second event that increased oxygen content to a level more resembling the present, and in turn drove diversification of distinct fungi, plants, and animals. It is of note that LECA (the last Eukaryotic common ancestor) lies well-beforehand [25]. The earliest embryos (or at least multicellular packings) might have resulted from selection pressure for retaining a low-oxygenation environment. But while these findings may lead to significant speculation, it seems that embryos are unique to Eukaryotic evolution, having no Bacterial or Archaebacterial counterpart despite evolving under the same conditions. It is most likely the interaction of genomic factors, developmental contingencies, and environmental conditions that ultimately lead to the emergence of embryos [26].


Phylogeny with evolution transitions from LUCA to embryos in plants and animals. Included are the two oxygenation events of Earth's history. Transitions derived from Refs [14, 27-31]. Click to enlarge.

References

[1] Hug, L.A. et.al (2016). A new view of the tree of life. Nature Microbiology, 1, 16048. 

[2] Valentine, J.W., Jablonski, D., and Erwin, D.H. (1999). Fossils, molecules and embryos: new perspectives on the Cambrian explosion. Development, 126, 851-859.

[3] Ou, Q., Vannier, J., Yang, X., Chen, A., Mai, H., Shu, D., Han, J., Fu, D., Wang, R., and Mayer, G. (2020). Evolutionary trade-off in reproduction of Cambrian arthropods. Science Advances, 6(18), doi:10.1126/sciadv.aaz3376.

[4] Xiao, S., Zhang, Y. and Knoll, A. H. (1998). Three-dimensional preservation of algae and animal embryos in a Neoproterozoic phosphorite. Nature, 391, 553-558.

[5] Erwin, D.H. (2020). Origin of animal bodyplans: a view from the regulatory genome. Development, 147, dev182899. 

complements. Nature, 442, 684–687. 

[7] Holland, P.W.H. (2015). Did homeobox gene duplications contribute to the Cambrian explosion? Zoological Letters, 1, 1. 

[8] Zhuravlev, A.Y. and Wood, R. (2020). Dynamic and synchronous changes in metazoan body size during the Cambrian Explosion. Scientific Reports, 10, 6784. 

[9] Evans, S.D., Droser, M.L., Erwin, D.H. (2021). Developmental processes in Ediacara macrofossils. Royal Society B, 288, 20203055.

[11] Finnerty, J.R., Pang, K., Burton, P., Paulson, D., and Martindale, M.Q. (2004). Origins of bilateral

[12] Brunet, T. and Booth, D.S. (2023). Cell polarity in the protist-to-animal transition. Current Topics in Developmental Biology, doi:10.1016/bs.ctdb.2023.03.001.

[13] Strother, P.K., Brasier, M.D., Wacey, D., Timpe, L., Saunders, M., and Wellman, C.H. (2021). A possible billion-year-old holozoan with differentiated multicellularity. Current Biology, 31, 1–8.

[14] First Embryos: Chen, J-Y., Bottjer, D.J., Li, G., Hadfield, M.G., Gao, F., Cameron, A.R., Zhang, C-Y., Xian, D-C., Tafforeau, P., Liao, X., and Yin, Z-J. (2009). Complex embryos displaying bilaterian characters from Precambrian Doushantuo phosphate deposits, Weng’an, Guizhou, ChinaPNAS, 106(45), 19056-19060.

[15] Yin, Z., Vargas, K., Cunningham, K., Bengtson, S., Zhu, M., Marone, F., and Donoghue, P. (2019). The Early Ediacaran Caveasphaera Foreshadows the Evolutionary Origin of Animal-like Embryology. Current Biology, 29, 4307–4314.

[16] Sebe-Pedros, A., Degnan, B.M., and Ruiz-Trillo, I. (2017). The origin of Metazoa: a unicellular perspective. Nature Reviews Genetics, 18, 498–512.

[17] Xing, L., Niu, K., Ma, W., Zelenitsky, D.K., Yang, T-R., and Brusatte, S.L. (2021). An exquisitely preserved in-ovo theropod dinosaur embryo sheds light on avian-like prehatching postures. iScience, 103516.

[18] Miller, G. (2009). On the Origin of The Nervous System. Science, 325(5936), 24-26.

[19] Erwin, D.H. (2020). Origin of animal bodyplans: a view from the regulatory genome. Development, 147, dev182899. 

[20] Hartenstein, V. and Stollewerk, A. (2015). The evolution of early neurogenesis. Developmental Cell, 32, 390–407.

[21] Moroz, L.L. and Kohn, A.B. (2016). Independent origins of neurons and synapses: insights from ctenophores. Royal Society B, 371, 20150041.

[22] Moroz, L.L. (2021). Multiple Origins of Neurons From Secretory Cells. Frontiers in Cell and Developmental Biology, 9, 669087. 

[23] Ghysen, A. (2003). The origin and evolution of the nervous system. International Journal of Developmental Biology, 47(7-8), 555-562.

[24] Xian, X-F., Zhang, H-Q., Liu, Y-H., and Zhang, Y-N. (2019). Diverse radial symmetry among the Cambrian Fortunian fossil embryos from northern Sichuan and southern Shaanxi provinces, South China. Palaeoworld, 28(3), 225-233.  AND  Chang, S., Clausen, S., Zhang, L., Feng, Q., Steiner, M., Bottjer, D.J., Zhang, Y., Shi, M. (2018). New probable cnidarian fossils from the lower Cambrian of the Three Gorges area, South China, and their ecological implications. Palaeogeography, Palaeoclimatology, Palaeoecology, 505, 150-166.

[25] McGrath, C. (2022). Highlight: Unraveling the Origins of LUCA and LECA on the Tree of Life. Genome Biology and Evolution, 14(6), evac072.

[26] Erwin, D.H. (2021). Developmental capacity and the early evolution of animals. Journal of the Geological Society, 178(5), jgs2020-245.

[27] Archaea: Gribaldo, S. and Brochier-Armanet, C. (2006). The Origin and Evolution of Archaea: a state of the art. Royal Society B, 361, 1007-1022.

[28] Great Oxygenation Event: Knoll, A.H.and Nowak, M.A. (2017). The Timetable of Evolution. Science Advances, 3, e1603076.  AND   Erwin, D.H. (2015). Early metazoan life: divergence, environment and ecology. Royal Society B, 370, 20150036.

[29] Fungi-Animal Common Ancestor: Phelps, C., Gburcik, V., Suslova, E., Dudek, P., Forafonov, F., Bot, N., MacLean, M., Fagan, R.J., and Picard, D. (2006). Fungi and animals may share a common ancestor to nuclear receptors. PNAS, 103(18), 7077–7081.

[30] LUCA: Dodd, MS, Papineau, D, Grenne, T et al. (5 more authors) (2017). Evidence for early life in Earth’s oldest hydrothermal vent precipitatesNature, 543 (7643). pp. 60-64.  AND  Hassenkam, T., Andersson, M., Dalby, K., MacKensie, D.M.A., and Rosing, M.T. (2017). Elements of Eoarchean life trapped in mineral inclusionsNature, 548, 78–81.

[31] Tree of Life: Feng, D-F., Cho, G., and Doolittle, R.F. (1997). Determining divergence times with a protein clock: Update and reevaluationPNAS, 94, 13028-13033.

February 12, 2021

Assorted Darwin Day Content


For this year's Darwin Day post, I will highlight a number of items I have recently run across on Twitter. Some of these have been retweeted on the Orthogonal Research and Education Lab Twitter feed, other materials are related to discussions in our research group meetings.

To start things off, I will draw your attention to a new special issue of Royal Society of London B called "Basal cognition: multicellularity, neurons and the cognitive lens" that is worth checking out. The term "basal" refers to evolutionary origins in the context of phylogeny (the tree of life)


The new paper on elementary nervous systems in Royal Society B (click to enlarge, figure from paper). COURTESY: Detlev Arendt.

A pointer to the Darwin Online repository.

In terms of old drawings and other archival materials, check out the Darwin Online project. This is a nice repository of Darwin-related historical and scientific works. This resource contains books, personal correspondence, and published materials. Speaking of history, let's turn to the deep history of life.....

A billion years of continental drift as an animated gif. Click to enlarge.

This next feature is a new paper on a billion years of plate tectonic dynamics: "Extending full-plate tectonic models into deep time: Linking the Neoproterozoic and the Phanerozoic" by Mike Tetley and colleagues. Now published in Earth Science Reviews, it is something we recently discussed in the weekly DevoWorm group meeting.

Following up on the DevoWorm discussion, which was about mapping the continental drift animation to the most basal branches of the tree of life, is an attempt to map Mammalian phylogeny [1] to continental drift over the past 225 million years. This was created by Carlos E. Alvarez. The numbers on the maps (top) correspond to the numbered clades (subtrees - bottom). This topic deserves a deeper dive into the latest Phylogeography research [2], which may be the subject of a future blog spot.

An attempt at matching up the tree of life with continental drift (click to enlarge). COURTESY: Carlos E. Alvarez

The next feature is a new paper on evolution of development (evo-devo) in nervous system anatomy called "Evolution of new cell types at the lateral neural border", now published in Current Topics in Developmental Biology. This study even uses converging evidence from genetic regulatory networks and anatomy to demonstrate common mechanisms shared between invertebrates and vertebrates.

A new paper on the evolution of new neuronal cell types (click to enlarge). COURTESY: Jan Stundl (Caltech).

Not only is this Darwin Day, but also the 50th anniversary of a Nature paper by Kimura and Ohta [3] on the Neutral Theory of Molecular Evolution. Neutral Theory postulates that most biological variation is expressed in selectively neutral genes, and so is random in nature [4]. This stands in opposition to the selectionist perspective of evolutionary change [5, 6].



Fully-tweetable neutral theory of evolution. COURTESY: Andrew J. Crawford.

Finally, and returning to neuroevolution, there are several items of interest from the laboratory of Cassandra Extavour. The first is a talk at the Society of Integrative and Comparative Biology meeting on the evo-devo-eco-neuro-biology of Drosophila learning and memory. For more evo-devo work from Dr. Extavour's lab, check out this recent work (with open data) on insect size and shape [7, 8].

Original artwork from SICB Twitter Account, commentary from Ken A. Field.

Hand-drawn notes on the SICB plenary talk. COURTESY: Dr. Ajna Rivera.

NOTES:

[1] Foley N.M., Springer M.S. and Teeling E.C. (2016). Mammal madness: is the mammal tree of life not yet resolved? Philosophical Transactions of the Royal Society B, 37120150140. doi:10.1098/ rstb.2015.0140.

[2] Avise, J.C. (2000). Phylogeography: the history and formation of species. Harvard University Press, Cambridge, MA.

[3] Kimura, M. and Ohta, T. (1971). Protein Polymorphism as a Phase of Molecular Evolution. Nature, 229, 467–469.

[4] Kimura, M. (1983). The Neutral Theory of Molecular Evolution. Cambridge University Press, Cambridge, UK.

[5] Nei, M. (2005). Selectionism and Neutralism in Molecular Evolution. Molecular Biology and Evolution, 22(12), 2318–2342. doi:10.1093/molbev/msi242.

[6] There are other critiques of selectionism from other perspectives. Here is one in the area of brain function: Fernando, C., Szathmary, E., and Husbands, P. (2012). Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal. Frontiers in Computational Neuroscience, 6, 24. doi:10.3389/ fncom.2012.00024.

[7] Church, S.H., Donoughe, S., de Medeiros, B.A.S., and Extavour, C.G. (2019). Insect egg size and shape evolve with ecology but not developmental rate. Nature, 571, 58–62.

[8] Church, S.H., Donoughe, S., de Medeiros, B.A.S., and Extavour, C.G. (2019). A dataset of egg size and shape from more than 6,700 insect species. Scientific Data, 6, 104.

February 16, 2019

Darwin meets Category Theory in the Tangential Space

For this Darwin Day (February 12), I would like to highlight the relationship between evolution by natural selection and something called category theory. While this post will be rather tangential to Darwin's work itself, it should be good food for thought with respect to evolutionary research. As we will see, category theory also has relevance to many types of functional and temporal systems (including those shaped by natural selection) [1], which is key to understanding how natural selection shapes individual phenotypes and populations more generally.

This isn't the last you'll hear from me in this post!

Category Theory originated in the applied mathematics community, particularly the "General Theory of Natural Equivalence" [2]. In many ways, category theory is familiar to those with conceptual knowledge of set theory. Uniquely, category theory deals with the classification of objects and their transformations between mappings. However, category theory is far more powerful than set theory, and serves as a bridge to formal logic, systems theory, and classification.

A category is defined by two basic components: objects and morphisms. An example of objects are a collection of interrelated variables or discrete states. Morphisms are things that link objects together, either structurally or functionally. This provides us with a network of paths between objects that can be analyzed using categorical logic. This allows us to define a composition (or path) by tracing through the set of objects and morphisms (so-called diagram chasing) to find a solution.

In this example, a pie recipe is represented as a category with objects (action steps) and morphisms (ingredients and results). This monoidal preorder can be added to as the recipe changes. From [3]. Click to enlarge.

Categories can also consist of classes: classes of objects might include all objects in the category, while classes of morphism include all relational information such as pathways and mappings. Groupoids are functional descriptions, and allow us to represent generalizations of group actions and equivalence relations. These modeling-friendly descriptions of a discrete dynamic system is quite similar to object-oriented programming (OOP) [4]. One biologically-oriented application of category theory can be found in the work of Robert Rosen, particularly topics such as relational biology and anticipatory systems.

Animal taxonomy according to category theory. This example focuses on exploring existing classifications, from species to kingdom. The formation of a tree from a single set of objects and morphisms is called a preorder. From [3]. Click to enlarge.

One potential application of this theory to evolution by natural selection is to establish an alternate view of phylogenetic relationships. By combining category theory with feature selection techniques, it may be possible to detect natural classes that correspond to common ancestry. Related to the discovery of evolutionary-salient features is the problem of phylogenetic scale [5], or hard-to-interpret changes occurring over multiple evolutionary timescales. Category theory might allow us to clarify these trends, particularly as they relate to evolving life embedded in ecosystems [6] or shaped by autopoiesis [7]. 

More relevant to physiological systems that are shaped by evolution are gene regulatory networks (GRNs). While GRNs can be characterized without the use of category theory, they also present an opportunity to produce an evolutionarily-relevant heteromorphic mapping [8]. While a single GRN structure can have multiple types of outputs, multiple GRN structures can also give rise to the same or similar output [8, 9]. As with previous examples, category theory might help us characterize these otherwise super-complex phenomena (and "wicked" problems) into well-composed systems-level representations.


NOTES:
[1] Spivak, D.I. (2014). Category theory for the sciences. MIT Press, Cambridge, MA.

[2] Eilenberg, S. and MacLane, S. (1945). General theory of natural equivalences. Transactions of the American Mathematical Society, 58, 231-294. doi:10.1090/S0002-9947-1945-0013131-6 

[3] Fong, B. and Spivak, D.I. (2018). Seven Sketches in Compositionality: an invitation to applied category theory. arXiv, 1803:05316.

[4] Stepanov, A. and McJones, P. (2009). Elements of Programming. Addison-Wesley Professional.

[5] Graham, C.H., Storch, D., and Machac, A. (2018). Phylogenetic scale in ecology and 
evolution. Global Ecology and Biogeography, doi:10.1111/geb.12686.

[6] Kalmykov, V.L. (2012). Generalized Theory of Life. Nature Precedings, 10101/npre.2012.7108.1.

[7] Letelier, J.C., Marin, G., and Mpodozis, J. (2003). Autopoietic and (M,R) systems. Journal of Theoretical Biology, 222(2), 261-272. doi:10.1016/S0022-5193(03)00034-1.

[8] Payne, J.L. and Wagner, A. (2013). Constraint and contingency in multifunctional gene regulatory circuitsPLoS Computational Biology, 9(6), e1003071. doi:10.1371/journal.pcbi.1003071.

[9] Ahnert, S.E. and Fink, T.M.A. (2016). Form and function in gene regulatory networks: the structure of network motifs determines fundamental properties of their dynamical state space. Journal of the Royal Society Interface, 13(120), 20160179. doi:10.1098/rsif.2016.0179.

August 19, 2016

From Toy Models to Quantifying Mosaic Development

Time travel in the Terminator metaverse. COURTESY: Michael Talley.

Almost two years ago, Richard Gordon and I published a paper in the journal Biosystems called "Toy Models for Macroevolutionary Patterns and Trends" [1]. Now, almost exactly two years later [2], we have published a second paper (not quite a follow-up) called "Quantifying Mosaic Development: towards an evo-devo postmodern synthesis of the evolution of development via differentiation trees of embryos". While the title is quite long, the approach can be best described as computational/ statistical evolution of development (evo-devo).

Sketch of a generic differentiation tree, which figures prominently in our theoretical synthesis and analysis. COURTESY: Dr. Richard Gordon.

This paper is part of a special issue in the journal Biology called "Beyond the Modern Evolutionary Synthesis- what have we missed?" and a product of the DevoWorm project. The paper itself is a hybrid theoretical synthesis/research report, and introduces a variety of comparative statistical and computational techniques [3] that are used to analyze quantitative spatial and temporal datasets representing early embryogenesis. Part of this approach was previewed in our most recent public lecture to the OpenWorm Foundation.

The comparative data analysis involves investigations within and between two species from different parts of the tree of life: Caenorhabditis elegans (Nematode, invertebrate) and Ciona intestinalis (Tunicate, chordate). The main comparison involves different instances of early mosaic development, or a developmental process that is deterministic with respect to cellular fate. We also reference data from the regulative developing Axolotl (Amphibian, vertebrate) in one of the analyses. All of the analyses involve the reuse and analysis of secondary data, which is becoming an important part of the scientific process for many research groups.

One of the techniques featured in the paper is an information-theoretic technique called information isometry [4]. This method was developed within the DevoWorm group, and uses a mathematical representation called an isometric graph to visualize cell lineages organized in different ways (e.g. a lineage tree vs. a differentiation tree). This method is summarized and validated in our paper "Information Isometry Technique Reveals Organizational Features in Developmental Cell Lineages" [4]. Briefly, each level of the cell lineage is represented as an isoline, which contains points of a specific Hamming distance. The Hamming distance is the distance between that particular cell in two alternative cell lineage orderings (the forementioned lineage and differentiation trees).

An example of an isometric graph from Caenorhabditis elegans, taken from Figure 12 in [5]. The position of a point representing a cell is based on the depth of its node in the cell lineage. The positions of all points are rotated 45 degrees clockwise from a bottom-to-top differentiation tree (in this case) ordering, where the one-cell stage is at the bottom of the graph.

A final word on the new Biology paper as it related to the use of references. Recently, I ran across a paper called "The Memory of Science: Inflation, Myopia, and the Knowledge Network" [6], which introduced me to the statistical definition of citation age. This inspired me to calculate the citation age of all journal references from three papers: Toy Models, Quantifying Mosaic Development, and a Nature Reviews Neuroscience paper from Bohil, Alicea (me), and Biocca, published in 2011. This was used as an analytical control -- as it is a review, it should contain papers which are older than the contemporary literature. Here are the age distributions for all three papers.

Distribution of Citation Ages from "Toy Models for Macroevolutionary Patterns and Trends" (circa 2014).

Distribution of Citation Ages from "Quantifying Mosaic Development: Towards an Evo-Devo Postmodern Synthesis of the Evolution of Development Via Differentiation Trees of Embryos" (circa 2016).


Distribution of Citation Ages from "Virtual Reality in Neuroscience Research and Therapy" (circa 2011).

What is interesting here is that both "Toy Models" and "Quantifying Mosaic Development" show a long tail with respect to age, while the review article shows very little in terms of a distributional tail. While there are differences in topical literatures (the VR and associated perceptual literature is not that old, after all) that influence the result, it seems that the recurrent academic Terminators utilize the literature in a way somewhat differently than most contemporary research papers. While the respect for history is somewhat author and topically dependent, it does seem to add a extra dimension to the research.


NOTES:
[1] the Toy Models paper was part of a Biosystems special issue called "Patterns in Evolution".

[2] This is a Terminator metaverse reference, in which the Terminator comes back every ten years to cause, effect, and/or stop Judgement Day.

[3] Gittleman, J.L. and Luh, H. (1992). On Comparing Comparative Methods. Annual Review of Ecology and Systematics, 23, 383-404.

[4] Alicea, B., Portegys, T.E., and Gordon, R. (2016). Information Isometry Technique Reveals Organizational Features in Developmental Cell Lineages. bioRxiv, doi:10.1101/062539

[5] Alicea, B. and Gordon, R. (2016). Quantifying Mosaic Development: Towards an Evo-Devo Postmodern Synthesis of the Evolution of Development Via Differentiation Trees of Embryos. Biology, 5(3), 33.

[6] Pan, R.K., Petersen, A.M., Pammolli, F., and Fortunato, S. (2016). The Memory of Science: Inflation, Myopia, and the Knowledge Network. arXiv, 1607.05606.

May 26, 2016

Rectified and Ramifying Representations for the Purpose of Theoretical Expediency

One aim of the DevoWorm project is to take a tree structure (in this case a cell lineage tree from an embryo) and extract distributed structural information. This is done to find previously undiscovered patterns in early development (embryogenesis). One way in which this can be accomplished is by building undirected complex networks to represent the relationships between three-dimensional cellular position in a point model of the embryo. Indeed, rather than a branching tree, we are left with a much larger tree with a significant number of cycles. This allows us to examine previously undiscovered interactions between cells based on proximity (such as juxtacrine and paracrine signalling).

A tree with a cycle, indeed. Popular meme or research problem?

Now these ideas have been made concrete in the form of a poster and presentation that describe the methodology and results of representing approximations of cell nuclei in the embryo as a connected network. This work has been featured at the Network Frontiers Workshop (Northwestern University) and the Midwest Regenerative Medicine Meeting (Washington University, St. Louis). Here is the poster in slide form:

















Notice how this approach is both geometrically vivid and extensible to different modes of development. The graphs and statistics were rendered in Gephi, and other computation was done in MATLAB and R. Our next steps include developing customized modules in Gephi for drawing differentiation trees, developing hybrid directed acyclic graph (DAG)/undirected network graph structures, and refining the network construction methodology.

We are also working on a methodology called the scalable interactome, which simply involves using graphs to visualize and extract information at multiple spatial and temporal scales. One current example of this is OneZoom explorer, which renders the tree of life in a fractal manner. This can be extended to exploring the fractal and complex geometric nature of the embryo itself.




A slightly different view of human evolution and rejection of human exceptionalism. COURTESY: OneZoom Tree of Life.

"Miscellaneous Polyhedra" by Carol Branch (no pun intended).


With that nod to complexity, I would be remiss if I did not mention the old SimCity dictum? A gratuitous image of fractals and reference to a Wil Wright easter egg is the perfect way to end this post. 

February 12, 2016

Darwin Day, Past and Present

For this year's Darwin Day (his 207th posthumous birthday), we take a tour of Darwin Day features from both the past and present.

Panel discussion at the Darwin Centennial Celebration, University of Chicago circa 1959.

First stop: last year's Synthetic Daisies post for Darwin Day, featuring portraits of Charles Darwin throughout the course of his lifetime.

Second stop: 2009, and Nature's special issue for Darwin's 200th birthday, which includes many nice multimedia features.

Third stop: Google's Doodle from February 12, 2009 and  a Doodle-like short movie from 2014. Link to the Doodle design and animated movie can be found below. The movie is quite elaborate, as each letter making up "Google" are treated as terminal taxa in a prototypical tree of life.


Darwin Day Google Doodle from 2014. COURTESY: Vimeo and Devone Paul

Final stop: The Selfish Gene. This year's Darwin Day roughly coincides with the 40th anniversary of "The Selfish Gene" by Richard Dawkins. This work established the gene as the fundamental unit of natural selection, and provided a strong defense of Darwinian ideas. Enjoy these readings by John Brockman ("About Richard Dawkins") and Matt Ridley ("In Retrospect: The Selfish Gene").



Happy Darwin Day!

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