A unified dataset for pre-processed climate indicators weighted by gridded economic activity.

Although high-resolution gridded climate variables are provided by multiple sources, the need for country and region-specific climate data weighted by indicators of economic activity is becoming increasingly common in environmental and economic research. We process available information from different climate data sources to provide spatially aggregated data with global coverage for both countries (GADM0 resolution) and regions (GADM1 resolution) and for a variety of climate indicators (total precipitations, average temperatures, average SPEI). We weigh gridded climate data by population density, night-time light intensity, cropland, and concurrent population count - all proxies of economic activity - before aggregation. Climate variables are measured daily, monthly, and annually, covering (depending on the data source) a time window from 1900 (at the earliest) to 2023. We pipeline all the preprocessing procedures in a unified framework, and we validate our data through a systematic comparison with those employed in leading climate impact studies.

Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy.

We investigate patterns of COVID-19 mortality across 20 Italian regions and their association with mobility, positivity, and socio-demographic, infrastructural and environmental covariates. Notwithstanding limitations in accuracy and resolution of the data available from public sources, we pinpoint significant trends exploiting information in curves and shapes with Functional Data Analysis techniques. These depict two starkly different epidemics; an "exponential" one unfolding in Lombardia and the worst hit areas of the north, and a milder, "flat(tened)" one in the rest of the country-including Veneto, where cases appeared concurrently with Lombardia but aggressive testing was implemented early on. We find that mobility and positivity can predict COVID-19 mortality, also when controlling for relevant covariates. Among the latter, primary care appears to mitigate mortality, and contacts in hospitals, schools and workplaces to aggravate it. The techniques we describe could capture additional and potentially sharper signals if applied to richer data.

An interdomain network: the endobacterium of a mycorrhizal fungus promotes antioxidative responses in both fungal and plant hosts.

Arbuscular mycorrhizal fungi (AMF) are obligate plant biotrophs that may contain endobacteria in their cytoplasm. Genome sequencing of Candidatus Glomeribacter gigasporarum revealed a reduced genome and dependence on the fungal host. RNA-seq analysis of the AMF Gigaspora margarita in the presence and absence of the endobacterium indicated that endobacteria have an important role in the fungal pre-symbiotic phase by enhancing fungal bioenergetic capacity. To improve the understanding of fungal-endobacterial interactions, iTRAQ (isobaric tags for relative and absolute quantification) quantitative proteomics was used to identify differentially expressed proteins in G. margarita germinating spores with endobacteria (B+), without endobacteria in the cured line (B-) and after application of the synthetic strigolactone GR24. Proteomic, transcriptomic and biochemical data identified several fungal and bacterial proteins involved in interspecies interactions. Endobacteria influenced fungal growth, calcium signalling and metabolism. The greatest effects were on fungal primary metabolism and respiration, which was 50% higher in B+ than in B-. A shift towards pentose phosphate metabolism was detected in B-. Quantification of carbonylated proteins indicated that the B- line had higher oxidative stress levels, which were also observed in two host plants. This study shows that endobacteria generate a complex interdomain network that affects AMF and fungal-plant interactions.

Extracting structural information from charge-state distributions of intrinsically disordered proteins by non-denaturing electrospray-ionization mass spectrometry.

Intrinsically disordered proteins (IDPs) exert key biological functions but tend to escape identification and characterization due to their high structural dynamics and heterogeneity. The possibility to dissect conformational ensembles by electrospray-ionization mass spectrometry (ESI-MS) offers an attracting possibility to develop a signature for this class of proteins based on their peculiar ionization behavior. This review summarizes available data on charge-state distributions (CSDs) obtained for IDPs by non-denaturing ESI-MS, with reference to globular or chemically denatured proteins. The results illustrate the contributions that direct ESI-MS analysis can give to the identification of new putative IDPs and to their conformational investigation.

Intramolecular interactions stabilizing compact conformations of the intrinsically disordered kinase-inhibitor domain of Sic1: a molecular dynamics investigation.

Cyclin-dependent kinase inhibitors (CKIs) are key regulatory proteins of the eukaryotic cell cycle, which modulate cyclin-dependent kinase (Cdk) activity. CKIs perform their inhibitory effect by the formation of ternary complexes with a target kinase and its cognate cyclin. These regulators generally belong to the class of intrinsically disordered proteins (IDPs), which lack a well-defined and organized three-dimensional (3D) structure in their free state, undergoing folding upon binding to specific partners. Unbound IDPs are not merely random-coil structures, but can present intrinsically folded structural units (IFSUs) and collapsed conformations. These structural features can be relevant to protein function in vivo. The yeast CKI Sic1 is a 284-amino acid IDP that binds to Cdk1 in complex with the Clb5,6 cyclins, preventing phosphorylation of G1 substrates and, therefore, entrance to the S phase. Sic1 degradation, triggered by multiple phosphorylation events, promotes cell-cycle progression. Previous experimental studies pointed out a propensity of Sic1 and its isolated domains to populate both extended and compact conformations. The present contribution provides models for compact conformations of the Sic1 kinase-inhibitory domain (KID) by all-atom molecular dynamics (MD) simulations in explicit solvent and in the absence of interactors. The results are integrated by spectroscopic and spectrometric data. Helical IFSUs are identified, along with networks of intramolecular interactions. The results identify a group of putative hub residues and networks of electrostatic interactions, which are likely to be involved in the stabilization of the globular states.

Charge-surface correlation in electrospray ionization of folded and unfolded proteins.

Electrospray-ionization mass spectrometry (ESI-MS) is widely used for protein studies. It has been shown that the extent of protein ionization under nondenaturing conditions correlates well with the solvent-accessible surface area of the tridimensional structure, for either folded monomers or multimeric complexes. The goal of this study was to test whether this relation holds for unfolded proteins as well. In order to overcome the paucity of structural data, the server ProtSA was used to model the conformational ensembles of proteins in the unfolded state and generate estimates of the average solvent accessibility. The results are analyzed along with literature data or original measurements by ESI-MS. It is found that the charge-to-surface relation holds for proteins in the unfolded state, free from solvent effects. A double-log plot is derived, in close agreement with published data for folded proteins. These results suggest that the solvent-accessible surface area is a key factor determining the extent of protein ionization by electrospray, independent of the conformational state. This conclusion helps rationalizing conformational effects in protein ESI-MS. The here reported relation can be used to predict the average solvent accessibility and, hence, the state of folding of unknown proteins from ESI-MS data.

Compaction properties of an intrinsically disordered protein: Sic1 and its kinase-inhibitor domain.

IDPs in their unbound state can transiently acquire secondary and tertiary structure. Describing such intrinsic structure is important to understand the transition between free and bound state, leading to supramolecular complexes with physiological interactors. IDP structure is highly dynamic and, therefore, difficult to study by conventional techniques. This work focuses on conformational analysis of the KID fragment of the Sic1 protein, an IDP with a key regulatory role in the cell-cycle of Saccharomyces cerevisiae. FT-IR spectroscopy, ESI-MS, and IM measurements are used to capture dynamic and short-lived conformational states, probing both secondary and tertiary protein structure. The results indicate that the isolated Sic1 KID retains dynamic helical structure and populates collapsed states of different compactness. A metastable, highly compact species is detected. Comparison between the fragment and the full-length protein suggests that chain length is crucial to the stabilization of compact states of this IDP. The two proteins are compared by a length-independent compaction index.

Electrospray ionization-mass spectrometry conformational analysis of isolated domains of an intrinsically disordered protein.

The highly dynamic and heterogeneous molecular ensembles characterizing intrinsically disordered proteins (IDP) in solution pose major challenges to the conventional methods for structural analysis. Electrospray ionization-mass spectrometry (ESI-MS) allows direct detection of distinct conformational components, effectively capturing also partially folded and short-lived states. We report the description of two complementary fragments (1-186 and 187-284) of the IDP Sic1, a cyclin-dependent protein kinase inhibitor of yeast Saccharomyces cerevisiae. Structural heterogeneity is noted in both cases, but the two fragments reveal slightly different conformational properties. The results are consistent with previously reported differences between the two protein moieties and corroborate the feasibility of IDP conformational analysis by ESI-MS.

Defining structural domains of an intrinsically disordered protein: Sic1, the cyclin-dependent kinase inhibitor of Saccharomyces cerevisiae.

The cyclin-dependent kinase inhibitor Sic1 is an intrinsically disordered protein (IDP) involved in cell-cycle regulation in the yeast Saccharomyces cerevisiae. Notwithstanding many studies on its biological function, structural characterization has been attempted only recently, fostering the development of production and purification protocols suitable to yield large amounts of this weakly expressed protein. In this study, we describe the identification of protein domains by the heterologous expression, purification, and characterization of Sic1-derived fragment. Four C-terminal fragments (Sic1(C-ter)) were produced based on functional studies and limited-proteolysis results. The N-terminal fragment (Sic1(1-186)) was complementary to the most stable C-terminal fragments (Sic1(Δ186)). Both Sic1(1-186) and Sic1(C-ter) fragments were, in general, less susceptible to spontaneous proteolysis than the full-length protein. The boundaries of the C-terminal fragments turned out to be crucial for integrity of the recombinant proteins and required two rounds of design and production. Sic1 fragments were purified by a simple procedure, based on their resistance to heat treatment, at the amount and purity required for structural characterization. Circular dichroism (CD) measurements and nuclear magnetic resonance (NMR) spectra of N- and C-terminal fragments confirm their disordered nature but reveal minor structural differences that may reflect their distinct functional roles.