Many bacteria employ a protein organelle, the carboxysome, to catalyze carbon dioxide fixation in the Calvin Cycle. Only 10 genes from Halothiobacillus neapolitanus are sufficient for heterologous expression of carboxysomes in Escherichia coli, opening the door to detailed mechanistic analysis of the assembly process of this complex (more than 200MDa). One of these genes, csoS2, has been implicated in assembly but ascribing a molecular function is confounded by the observation that the single csoS2 gene yields expression of two gene products and both display an apparent molecular weight incongruent with the predicted amino acid sequence. Here, we elucidate the co-translational mechanism responsible for the expression of the two protein isoforms. Specifically, csoS2 was found to possess -1 frameshifting elements that lead to the production of the full-length protein, CsoS2B, and a truncated protein, CsoS2A, which possesses a C-terminus translated from the alternate frame. The frameshifting elements comprise both a ribosomal slippery sequence and a 3' secondary structure, and ablation of either sequence is sufficient to eliminate the slip. Using these mutants, we investigated the individual roles of CsoS2B and CsoS2A on carboxysome formation. In this in vivo formation assay, cells expressing only the CsoS2B isoform were capable of producing intact carboxysomes, while those with only CsoS2A were not. Thus, we have answered a long-standing question about the nature of CsoS2 in this model microcompartment and demonstrate that CsoS2B is functionally distinct from CsoS2A in the assembly of α-carboxysomes.

In addition to encoding the final tertiary fold and stability, the primary sequence of a protein encodes the folding trajectory and kinetic barriers that determines the speed of folding. How these kinetic barriers are encoded by the sequence is not well understood. Here, we use evolutionary sequence variation in the alpha-lytic protease (αLP) protein family to probe the relationship between sequence and energy landscape. αLP has an unusual energy landscape: the native state of αLP is not the most thermodynamically favored conformation and, instead, it remains folded due to a large kinetic barrier preventing unfolding. In order to fold, αLP utilizes an N-terminal pro region of similar size to the protease itself that functions as a folding catalyst. Once folded, the pro region is removed, and the native state does not unfold on a biologically relevant timescale.Without the pro region, αLP folds on the order of millennia. A phylogenetic search uncovers αLP homologs with a wide range of pro-region sizes, including some with no pro region at all. In the resulting phylogenetic tree, these homologs cluster by pro-region size. Homologs naturally lacking pro regions are thermodynamically stable, fold much faster than αLP, yet retain the same fold as αLP. Key amino acids thought to contribute to αLP's extreme kinetic stability are lost in these homologs, further supporting their role in kinetic stability. This study highlights how the entire energy landscape plays an important role in determining the evolutionary pressures on and changes to the protein sequence.

No abstract

A protein sequence encodes its energy landscape - all the accessible conformations, energetics, and dynamics. The evolutionary relationship between sequence and landscape can be probed phylogenetically by compiling a multiple sequence alignment of homologous sequences and generating common ancestors via Ancestral Sequence Reconstruction or a consensus protein containing the most common amino acid at each position. Both ancestral and consensus proteins are often more stable than their extant homologs - questioning the differences and suggesting that both approaches serve as general methods to engineer thermostability. We used the Ribonuclease H family to compare these approaches and evaluate how the evolutionary relationship of the input sequences affects the properties of the resulting consensus protein. While the overall consensus protein is structured and active, it neither shows properties of a well-folded protein nor has enhanced stability. In contrast, the consensus protein derived from a phylogenetically-restricted region is significantly more stable and cooperatively folded, suggesting that cooperativity may be encoded by different mechanisms in separate clades and lost when too many diverse clades are combined to generate a consensus protein. To explore this, we compared pairwise covariance scores using a Potts formalism as well as higher-order couplings using singular value decomposition (SVD). We find the SVD coordinates of a stable consensus sequence are close to coordinates of the analogous ancestor sequence and its descendants, whereas the unstable consensus sequences are outliers in SVD space.

The impact of COVID-19 on older adults has been analysed through different research approaches. However, with its sudden global spread, combined with uncertainty about which countermeasures would be employed, there was a lack of opportunity to systematically and continuously engage in a system of observing the moods of older adults forced to live in unexpected conditions. Ageist narratives, social distancing, the unending barrage of real and fake news, and the lockdowns, have given rise to what we define as a series of “seasons” of life, characterised not by the weather barometer, but by moods of people. How much did these external events, like the impact of weather, affect the mood of older adults? We immediately recognised the pandemic’s long-term nature, and thanks to our position as an "observatory" of social dynamics, and because of our existing community of older adults (VOICE), we could involve our members to provide valuable insights about mood and wellbeing during the pandemic. We initiated a weekly pulse survey, based on the two same questions, starting in week 13 of 2020. Across the 50 weeks which followed, we received 2577 responses. They rated their mood on a scale of 1 (extra-stormy) to 5 (all sunshine), before we collated the data and mapped on key events related to media announcements and political decisions. Our research showed the impact of these events on the mood of participants, and the potential of this approach to identify trends in mood to help policy makers with informed decision-making during unprecedented times.