Ancestral sequence reconstructions evaluated by extant sequence cross-validation

Ancestral sequence reconstruction (ASR) has become widely used to analyze the properties of ancient biomolecules and to elucidate the mechanisms of molecular evolution. By recapitulating the structural, mechanistic, and functional changes of proteins during their evolution, ASR has been able to address many fundamental and challenging evolutionary questions where more traditional methods have failed. Despite the tangible successes of ASR, the accuracy of its reconstructions is currently unknown, because it is generally impossible to compare resurrected proteins to the true ancient ancestors that are now extinct. Which evolutionary models are the best for ASR? How accurate are the resulting inferences? Here we answer these questions by applying cross-validation (CV) to sets of aligned extant sequences. To assess the adequacy of a chosen evolutionary model for predicting extant sequence data, our column-wise CV method iteratively cross-validates each column in an alignment. Unlike other phylogenetic model selection criteria, this method does not require bias correction and does not make restrictive assumptions commonly violated by phylogenetic data. We find that column-wise CV generally provides a more conservative criterion than the AIC by preferring less complex models. To validate ASR methods, we also apply cross-validation to each sequence in an alignment by reconstructing the extant sequences using ASR methodology, a method we term extant sequence reconstruction (ESR). We can thus quantify the accuracy of ASR methodology by comparing ESR reconstructions to the corresponding true sequences. We find that a common measure of the quality of a reconstructed sequence, the average probability of the sequence, is indeed a good estimate of the fraction of the sequence that is correct when the evolutionary model is accurate or overparameterized. However, the average probability is a poor measure for comparing reconstructions, because more accurate phylogenetic models typically result in reconstructions with lower average probabilities. In contrast, the entropy of the reconstructed distribution is a reliable indicator of the quality of a reconstruction, as the entropy provides an accurate estimate of the log-probability of the true sequence. Both column-wise CV and ESR are useful methods to validate evolutionary models used for ASR and can be applied in practice to any phylogenetic analysis of real biological sequences.

Structural Analysis of the Ancestral Haloalkane Dehalogenase AncLinB-DmbA

Haloalkane dehalogenases (EC 3.8.1.5) play an important role in hydrolytic degradation of halogenated compounds, resulting in a halide ion, a proton, and an alcohol. They are used in biocatalysis, bioremediation, and biosensing of environmental pollutants and also for molecular tagging in cell biology. The method of ancestral sequence reconstruction leads to prediction of sequences of ancestral enzymes allowing their experimental characterization. Based on the sequences of modern haloalkane dehalogenases from the subfamily II, the most common ancestor of thoroughly characterized enzymes LinB from Sphingobium japonicum UT26 and DmbA from Mycobacterium bovis 5033/66 was in silico predicted, recombinantly produced and structurally characterized. The ancestral enzyme AncLinB-DmbA was crystallized using the sitting-drop vapor-diffusion method, yielding rod-like crystals that diffracted X-rays to 1.5 Å resolution. Structural comparison of AncLinB-DmbA with their closely related descendants LinB and DmbA revealed some differences in overall structure and tunnel architecture. Newly prepared AncLinB-DmbA has the highest active site cavity volume and the biggest entrance radius on the main tunnel in comparison to descendant enzymes. Ancestral sequence reconstruction is a powerful technique to study molecular evolution and design robust proteins for enzyme technologies.

Green light perception paved the way for the diversification of GAF domain photoreceptors

Photoreceptors are proteins that sense incident light and then trigger downstream signaling events. Phytochromes are linear tetrapyrrole-binding photoreceptors present in plants, algae, fungi, and various bacteria. Most phytochromes respond to red and far-red light signals. Among the phytochrome superfamily, cyanobacteria-specific cyanobacteriochromes show much more diverse optical properties covering the entire visible region. Both phytochromes and cyanobacteriochromes share the GAF domain scaffold to cradle the chromophore as the light-sensing region. It is unknown what physiological demands drove the evolution of cyanobacteriochromes in cyanobacteria. Here we utilize ancestral sequence reconstruction and report that the resurrected ancestral cyanobacteriochrome proteins reversibly respond to green and red light signals. pH titration analyses indicate that the deprotonation of the bound phycocyanobilin chromophore enables the photoreceptor to perceive green light. The ancestral cyanobacteriochromes show modest thermal reversion to the green light-absorbing form, suggesting that they evolved to sense green-rich irradiance rather than red light, which is preferentially utilized for photosynthesis. In contrast to plants and green algae, many cyanobacteria can utilize green light for photosynthesis with their special light-harvesting complexes, phycobilisomes. The evolution of green/red sensing cyanobacteriochromes may therefore have allowed ancient cyanobacteria to acclimate to different light environments by rearranging the absorption capacity of the cyanobacterial antenna complex by chromatic acclimation.Significance StatementLight serves as a crucial environmental stimulus affecting the physiology of organisms across all kingdoms of life. Photoreceptors serve as important players of light responses, absorbing light and actuating biological processes. Among a plethora of photoreceptors, cyanobacteriochromes arguably have the wealthiest palette of color sensing, largely contributing to the success of cyanobacteria in various illuminated habitats. Our ancestral sequence reconstruction and the analysis of the resurrected ancestral proteins suggest that the very first cyanobacteriochrome most probably responded to the incident green-to-red light ratio, in contrast to modern red/far-red absorbing plant phytochromes. The deprotonation of the light-absorbing pigment for green light-sensing was a crucial molecular event for the invention of the new class of photoreceptors with their huge color tuning capacity.