Metabolic and Chaperone Gene Loss Marks the Origin of Animals: Evidence for Hsp104 and Hsp78 Sharing Mitochondrial Clients

The evolution of animals involved acquisition of an emergent gene repertoire for gastrulation. Whether loss of genes also co-evolved with this developmental reprogramming has not yet been addressed. Here, we identify twenty-four genetic functions that are retained in fungi and choanoflagellates but undetectable in animals. These lost genes encode: (i) sixteen distinct biosynthetic functions; (ii) the two ancestral eukaryotic ClpB disaggregases, Hsp78 and Hsp104, which function in the mitochondria and cytosol, respectively; and (iii) six other assorted functions. We present computational and experimental data that are consistent with a joint function for the differentially localized ClpB disaggregases, and with the possibility of a shared client/chaperone relationship between the mitochondrial Fe/S homoaconitase encoded by the lost LYS4 gene and the two ClpBs. Our analyses lead to the hypothesis that the evolution of gastrulation-based multicellularity in animals led to efficient extraction of nutrients from dietary sources, loss of natural selection for maintenance of energetically expensive biosynthetic pathways, and subsequent loss of their attendant ClpB chaperones.Comment: This is a reformatted version from the recent official publication in PLoS ONE (2015). This version differs substantially from first three arXiV versions. This version uses a fixed-width font for DNA sequences as was done in the earlier arXiv versions but which is missing in the official PLoS ONE publication. The title has also been shortened slightly from the official publicatio

Sex Differences in Exercise Recovery

Recent findings from our laboratory suggest that recovery from peripheral fatigue measured by pre- and post-potentiated twitch forces following extreme intensity (80%) exercise is faster than following severe intensity exercise (40% MVC). Women have been shown to have predominately higher percentages of slow twitch muscle fibers compared to men. Purpose: To test the hypothesis that Qtw (potentiated twitch) following exercise is recovered faster in women in both exercise intensities. Methods: 6 subjects (3 men, 3 woman, age 24 ± 4 yrs, 74.5 ± 17.4 kg; 173 ± 5 cm) performed 2 intermittent isometric knee extension tests to exhaustion at 40% and 80% MVC. Repetitions were performed at a 60% duty cycle (3s on, 2s off). Exercise intensities were chosen to elicit time to task failure (Tlim) in \u3c 2min (extreme intensity) and 2-15 min (severe intensity). Task failure was defined as the inability to maintain target force of MVC (40%, 80%). Qtw (potentiated twitch) measurements were made every 30s prior to and immediately following exercise. Qtw was compared pre- and post-exercise between intensity. Furthermore, individual Qtw were compared over time during recovery following extreme and severe exercise in men and women. Results: Recovery from fatigue following severe intensity exercise shows significant decreases in force production in men and women compared to baseline values: * significantly different from baseline value. Significant decreases in all six force production values following extreme intensity exercise were found in men, while women showed only initial value to be significantly different. Recovery from fatigue in women after the first 30 second measurement increased to near baseline value where the difference in force production was no longer significant. Conclusion: No significant difference in recovery in men and women following severe intensity exercise was found. There where significant differences from recovery in men compared to women following extreme intensity exercise. Force production in women 30 seconds into recovery indicated recovery was significant compared to men

Dynamic Evolution of Precise Regulatory Encodings Creates the Clustered Site Signature of Enhancers

Concentration gradients of morphogenic proteins pattern the embryonic axes of Drosophila by activating different genes at different concentrations. The neurogenic ectoderm enhancers (NEEs) activate different genes at different threshold levels of the Dorsal (Dl) morphogen, which patterns the dorsal/ventral axis. NEEs share a unique arrangement of highly constrained DNA-binding sites for Dl, Twist (Twi), Snail (Sna) and Suppressor of Hairless (Su(H)), and encode the threshold variable in the precise length of DNA that separates one well-defined Dl element from a Twi element. However, NEEs also possess dense clusters of variant Dl sites. Here, we show that these increasingly variant sites are eclipsed relic elements, which were superseded by more recently evolved threshold encodings. Given the divergence in egg size during Drosophila lineage evolution, the observed characteristic clusters of divergent sites indicate a history of frequent selection for changes in threshold responses to the Dl morphogen gradient and confirm the NEE structure/function model

A regulatory code for neurogenic gene expression in the Drosophila embryo

Bioinformatics methods have identified enhancers that mediate restricted expression in the Drosophila embryo. However, only a small fraction of the predicted enhancers actually work when tested in vivo. In the present study, co-regulated neurogenic enhancers that are activated by intermediate levels of the Dorsal regulatory gradient are shown to contain several shared sequence motifs. These motifs permitted the identification of new neurogenic enhancers with high precision: five out of seven predicted enhancers direct restricted expression within ventral regions of the neurogenic ectoderm. Mutations in some of the shared motifs disrupt enhancer function, and evidence is presented that the Twist and Su(H) regulatory proteins are essential for the specification of the ventral neurogenic ectoderm prior to gastrulation. The regulatory model of neurogenic gene expression defined in this study permitted the identification of a neurogenic enhancer in the distant Anopheles genome. We discuss the prospects for deciphering regulatory codes that link primary DNA sequence information with predicted patterns of gene expression

Dynamic Evolution of Precise Regulatory Encodings Creates the Clustered Site Signature of Enhancers

Concentration gradients of morphogenic proteins pattern the embryonic axes of Drosophila by activating different genes at different concentrations. The neurogenic ectoderm enhancers (NEEs) activate different genes at different threshold levels of the Dorsal (Dl) morphogen, which patterns the dorsal/ventral axis. NEEs share a unique arrangement of highly constrained DNA-binding sites for Dl, Twist (Twi), Snail (Sna) and Suppressor of Hairless (Su(H)), and encode the threshold variable in the precise length of DNA that separates one well-defined Dl element from a Twi element. However, NEEs also possess dense clusters of variant Dl sites. Here, we show that these increasingly variant sites are eclipsed relic elements, which were superseded by more recently evolved threshold encodings. Given the divergence in egg size during Drosophila lineage evolution, the observed characteristic clusters of divergent sites indicate a history of frequent selection for changes in threshold responses to the Dl morphogen gradient and confirm the NEE structure/function model

Evolution of the holozoan ribosome biogenesis regulon

<p>Abstract</p> <p>Background</p> <p>The ribosome biogenesis (RiBi) genes encode a highly-conserved eukaryotic set of nucleolar proteins involved in rRNA transcription, assembly, processing, and export from the nucleus. While the mode of regulation of this suite of genes has been studied in the yeast, <it>Saccharomyces cerevisiae</it>, how this gene set is coordinately regulated in the larger and more complex metazoan genomes is not understood.</p> <p>Results</p> <p>Here we present genome-wide analyses indicating that a distinct mode of RiBi regulation co-evolved with the E(CG)-binding, Myc:Max bHLH heterodimer complex in a stem-holozoan, the ancestor of both Metazoa and Choanoflagellata, the protozoan group most closely related to animals. These results show that this mode of regulation, characterized by an E(CG)-bearing core-promoter, is specific to almost all of the known genes involved in ribosome biogenesis in these genomes. Interestingly, this holozoan RiBi promoter signature is absent in nematode genomes, which have not only secondarily lost Myc but are marked by invariant cell lineages typically producing small body plans of 1000 somatic cells. Furthermore, a detailed analysis of 10 fungal genomes shows that this holozoan signature in RiBi genes is not found in hemiascomycete fungi, which evolved their own unique regulatory signature for the RiBi regulon.</p> <p>Conclusion</p> <p>These results indicate that a Myc regulon, which is activated in proliferating cells during normal development as well as during tumor progression, has primordial roots in the evolution of an inducible growth regime in a protozoan ancestor of animals. Furthermore, by comparing divergent bHLH repertoires, we conclude that regulation by Myc but not by other bHLH genes is responsible for the evolutionary maintenance of E(CG) sites across the RiBi suite of genes.</p

EigenFold: Generative Protein Structure Prediction with Diffusion Models

Protein structure prediction has reached revolutionary levels of accuracy on single structures, yet distributional modeling paradigms are needed to capture the conformational ensembles and flexibility that underlie biological function. Towards this goal, we develop EigenFold, a diffusion generative modeling framework for sampling a distribution of structures from a given protein sequence. We define a diffusion process that models the structure as a system of harmonic oscillators and which naturally induces a cascading-resolution generative process along the eigenmodes of the system. On recent CAMEO targets, EigenFold achieves a median TMScore of 0.84, while providing a more comprehensive picture of model uncertainty via the ensemble of sampled structures relative to existing methods. We then assess EigenFold's ability to model and predict conformational heterogeneity for fold-switching proteins and ligand-induced conformational change. Code is available at https://github.com/bjing2016/EigenFold.Comment: ICLR MLDD workshop 202