Our body is built from cells with dedicated roles: red blood cells transport oxygen, retinal cells detect light, and immune cells fight off pathogens. However, the earliest multicellular organisms did not have such specialized cells, and how the division of labor between cells first evolved remains unknown (Bonner, 2000; Brunet and King, 2017; van Gestel and Tarnita, 2017).
One of the best-studied examples of division of labor is between germ cells, which reproduce, and somatic cells, whose sole purpose is to ensure that the germ cells survive. Differentiation between germ and somatic cells has evolved repeatedly, and occurs even in simple multicellular organisms with far fewer cell types than animals, such as green algae or social amoebae. Because it is impossible to determine what selective pressures drove the evolution of germ-soma differentiation hundreds of millions of years ago, biologists have turned to mathematical models to understand how germ and soma cells came about (Gavrilets, 2010; Michod, 2007).
Models for the evolution of germ-soma differentiation start from the assumption that cells within a multicellular group can invest resources into the group’s survival, reproduction, or a combination of both. Using these models, researchers can ask what conditions allow specialized cells that only invest in reproduction (germ) or survival (soma) to evolve. Previous work revealed that division of labor can only evolve under stringent conditions where specialized cells have to be better (i.e. more efficient) at their job than non-specialized cells (Michod, 2007). But, these conditions may not necessarily have been met early on in the evolution of division of labor.
Now, in eLife, Peter Yunker, William Ratcliff and colleagues at the Georgia Institute of Technology – including David Yanni and Shane Jacobeen as joint first authors, Pedro Márquez-Zacarías and Joshua Weitz – report that the geometry of certain early multicellular organisms may have made it easier for division of labor to evolve (Yanni et al., 2020). The team developed a model for germ-soma differentiation that incorporates spatial structure. While earlier models assume survival investments are pooled together and shared amongst all cells, the model created by Yanni et al. assumes that a cell’s investment in survival is only shared with immediate neighbors (Figure 1). In this setup, the shape of the multicellular group plays a crucial role as it dictates which cells are neighbors.
Many multicellular organisms have evolved germ-soma differentiation — a division of labor between germ cells, specialized for reproduction, and somatic cells, which help the organism survive. Yanni …
Yanni et al. found that ‘sparse’ geometries in which cells have few neighbors — such as filaments and trees — are particularly conducive to the evolution of germ-soma differentiation. In these structures, regularly spaced cells take on the role of germ, while the interspaced cells become somatic to support the reproductive cells (Figure 1). The survival investments made by somatic cells are therefore now exclusively shared with germ cells, rather than with all cells in the group, including with other somatic cells. Yanni et al. showed that this efficient sharing of survival benefits relaxes the conditions under which division of labor can evolve: in sparse multicellular geometries, division of labor can even be favored when specialized cells are slightly less efficient than non-specialized ones.
Intriguingly, in many existing multicellular organisms, the spatial organization of germ and somatic cells mimics the pattern predicted by the model. For example, in cyanobacteria the role of somatic cells is taken on by specialized nitrogen fixers that are regularly spaced along filaments to support the surrounding reproductive cells (Flores and Herrero, 2010). And while complex multicellular organisms — which are beyond the reach of this model — typically do not have regularly spaced germ cells, glimpses of the predicted organization can still be seen. For instance, fruit fly egg cells develop from a cluster of interconnected cells of which only one becomes the egg, while the surrounding cells adopt a supporting role (Bastock and St Johnston, 2008; Alsous et al., 2018).
While models such as the one by Yanni et al. shed light on the evolutionary forces that shape cell differentiation, they tell us little about the underlying mechanisms (Márquez-Zacarías et al., 2020). These findings, however, provide a promising lead: if germ-soma differentiation is associated with a specific spatial organization, then its evolution requires developmental mechanisms that allow cells to differentiate according to their location. A future goal is then to understand how such developmental mechanisms originated in evolution.
© 2020, Staps and Tarnita
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Gene duplication drives evolution by providing raw material for proteins with novel functions. An influential hypothesis by Ohno (1970) posits that gene duplication helps genes tolerate new mutations and thus facilitates the evolution of new phenotypes. Competing hypotheses argue that deleterious mutations will usually inactivate gene duplicates too rapidly for Ohno’s hypothesis to work. We experimentally tested Ohno’s hypothesis by evolving one or exactly two copies of a gene encoding a fluorescent protein in Escherichia coli through several rounds of mutation and selection. We analyzed the genotypic and phenotypic evolutionary dynamics of the evolving populations through high-throughput DNA sequencing, biochemical assays, and engineering of selected variants. In support of Ohno’s hypothesis, populations carrying two gene copies displayed higher mutational robustness than those carrying a single gene copy. Consequently, the double-copy populations experienced relaxed purifying selection, evolved higher phenotypic and genetic diversity, carried more mutations and accumulated combinations of key beneficial mutations earlier. However, their phenotypic evolution was not accelerated, possibly because one gene copy rapidly became inactivated by deleterious mutations. Our work provides an experimental platform to test models of evolution by gene duplication, and it supports alternatives to Ohno’s hypothesis that point to the importance of gene dosage.
Maintenance of rod-shape in bacterial cells depends on the actin-like protein MreB. Deletion of mreB from Pseudomonas fluorescens SBW25 results in viable spherical cells of variable volume and reduced fitness. Using a combination of time-resolved microscopy and biochemical assay of peptidoglycan synthesis, we show that reduced fitness is a consequence of perturbed cell size homeostasis that arises primarily from differential growth of daughter cells. A 1000-generation selection experiment resulted in rapid restoration of fitness with derived cells retaining spherical shape. Mutations in the peptidoglycan synthesis protein Pbp1A were identified as the main route for evolutionary rescue with genetic reconstructions demonstrating causality. Compensatory pbp1A mutations that targeted transpeptidase activity enhanced homogeneity of cell wall synthesis on lateral surfaces and restored cell size homeostasis. Mechanistic explanations require enhanced understanding of why deletion of mreB causes heterogeneity in cell wall synthesis. We conclude by presenting two testable hypotheses, one of which posits that heterogeneity stems from non-functional cell wall synthesis machinery, while the second posits that the machinery is functional, albeit stalled. Overall, our data provide support for the second hypothesis and draw attention to the importance of balance between transpeptidase and glycosyltransferase functions of peptidoglycan building enzymes for cell shape determination.