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Kundagrami, R.

Publications and source records attributed to Kundagrami, R..

2 recordsLinked to original sources

Evolution of NELL binding by dual-ligand-responsive axon guidance receptor Robo

Robo receptors are conserved across bilaterians and best known for their ability to mediate axonal repulsion in response to Slit family ligands. In mammals, this applies to Robo1 and Robo2, but mammalian Robo3 binds NELL proteins instead of Slits. The evolutionary origin of NELL-Robo interactions and the possible existence of dual-ligand responsiveness across species remain unknown. Here, we systematically analyzed Robo and NELL homologs across bilaterians and found that NELL-Robo binding is conserved among chordate Robos, but not in protostomes. We show that cephalochordate Robo and NELL can mediate axon repulsion in vitro, suggesting conserved functionality. We observed that conformational masking of the NELL-binding site is prevalent among chordate Robos, modulating NELL-Robo affinity. We also demonstrate that NELL-Robo complexes undergo liquid-liquid phase separation in vitro, a property preserved from cephalochordates to mammals. Our findings support a model in which an ancestral chordate Robo receptor was dual-responsive to Slit and NELL, still the case for some extant Robos, and vertebrate paralogs subfunctionalized, with full ligand specialization emerging in mammals.

biochemistry↗

General moment closure for the neutral two-locus Wright-Fisher dynamics

The Wright-Fisher diffusion and its dual, the coalescent process, are at the core of many results and methods in population genetics. Approaches have been developed to study the dynamics of its moments under genetic drift, mutation, and recombination using ordinary differential equations. The dynamics of these moments can be used to study population genetic processes and are key building blocks of efficient methods to infer population genetic parameters, like demographic histories or fine-scale recombination rates. However, the system of equations does not close under recombination; that is, computing moments of a certain order requires knowledge of moments of higher order. By applying a coordinate transformation to the diffusion generator, we show that the canonical moments in these alternative coordinates yield a closed system, enabling more accurate numerical computations. Compared to previous approaches in the literature, we believe that this approach can be more readily extended to general scenarios. Through simulations, we verify that the derived system of differential equations can accurately capture the dynamics of the moments, and can be used to efficiently compute expected diversity and linkage statistics in population genetic samples.

genetics↗