15 research outputs found
Mutations in disordered proteins as early indicators of nucleic acid changes triggering speciation
Intrinsically disordered proteins are characterized by unusual sequence composition, structural flexibility, and functional spectra. These properties play an essential role in fostering protein evolution and in the formation of complex cellular pathways, especially in multicellular organisms. In this study, we analyze the role of different structural variants of proteins in speciation processes. Firstly, we separate human and mouse proteomes (taken as a reference) in three variants of disorder: ordered proteins (ORDPs), structured proteins with intrinsically disordered protein regions (IDPRs), and intrinsically disordered proteins (IDPs). Secondly, we compare the DNA divergence with the corresponding protein divergence, by confronting human and mouse coding sequences (separated in ORDPs, IDPRs, and IDPs) with their homologs from 26 eukaryotes. As a general rule, we find that IDPs phenotypically diverge earlier than ORDPs and IDPRs. ORDPs diverge later but are phenotypically more reactive to nucleotide mutations than IDPRs and IDPs. We suggest that IDPs may be involved in the early stages of the speciation process, likely connected to their functional spectra, mainly related to nucleic acid binding and transcription factors. In contrast, ORDPs may be essential in accelerating further phenotypic divergence
The codon frustration index as a new metric for mRNA stability, translation efficiency, and rates of protein synthesis
Taking the human genome as a case of study, we propose a new classification of codons based only on two genomic information. We use the relative synonymous codon usage (RSCU) as a measure of non-uniform usage of synonymous codons. Similarly, we introduce here the relative gene frequencies of cognate tRNAs (RGFCt) to quantify the non-uniform availability of cognate tRNAs in each family of synonymous codons. Using these two quantities, we define two general groups of codons: non-frustrated codons, whose usage in the coding sequences is in proportion to the expected cognate tRNA levels, and frustrated codons, which do not satisfy this proportionality. With this decoding for every codon, we defined the Codon Frustration Index (CFI) as the net frustration of a gene, normalized for its length. Notably, we find that CFI correlates very well with other independent measures of CUB and a high content of non-frustrated codons increases both translation efficiency and mRNA stability. Finally, we show that genes with either a high content of frustrated or of non-frustrated codons are differentially enriched in specific functional classes that typically comprise nucleic acid binding proteins, mRNA processing factors, RNA helicase, and in several transcription factors
Variants of intrinsic disorder: structural characterization
In a recent study, we have introduced an operational classification of the human proteome in three variants of disorder: ordered proteins (ORDPs), structured proteins with intrinsically disordered protein regions (IDPRs), intrinsically disordered proteins (IDPs). That classification was useful in functionally separating IDPRs from IDPs, which up until now have been generally considered as a whole. In this study, we corroborate this distinction by considering different physical-chemical and structural properties. Both ORDPs and IDPRs are enriched in order-promoting amino acids, whereas only IDPs show an enrichment in disordered-promoting amino acids. Consistently, ORDPs and IDPRs are preferentially located in the ordered phase of the charge-hydropathy plot, whereas IDPs are widespread over the disordered phase. We introduce the mean packing - mean pairwise energy (MP-MPE) plane to structurally characterize these variants even in the absence of a structural model. As expected for well-packed proteins, a negative linear correlation is observed between MP and MPE for ORDPs and IDPRs, whereas IDPs break this linear dependence. Finally, we find that IDPs have a more extended conformation as measured by the scaling law between the radius of gyration and the length of these proteins, and accordingly they have higher solubility and accessible surface area than ORDPs and IDPRs. Overall, our results confirm the relevance of our operational separation of IDPRs from IDPs and provide further validation of our criteria to separate IDPs from the rest of human proteome
Intrinsically disordered proteins and structured proteins with intrinsically disordered regions have different functional roles in the cell
Many studies about classification and the functional annotation of intrinsically disordered proteins (IDPs) are based on either the occurrence of long disordered regions or the fraction of disordered residues in the sequence. Taking into account both criteria we separate the human proteome, taken as a case study, into three variants of proteins: i) ordered proteins (ORDPs), ii) structured proteins with intrinsically disordered regions (IDPRs), and iii) intrinsi- cally disordered proteins (IDPs). The focus of this work is on the different functional roles of IDPs and IDPRs, which up until now have been generally considered as a whole. Previous studies assigned a large set of functional roles to the general category of IDPs. We show here that IDPs and IDPRs have non-overlapping functional spectra, play different roles in human diseases, and deserve to be treated as distinct categories of proteins. IDPs enrich only a few classes, functions, and processes: nucleic acid binding proteins, chromatin bind- ing proteins, transcription factors, and developmental processes. In contrast, IDPRs are spread over several functional protein classes and GO annotations which they partly share with ORDPs. As regards to diseases, we observe that IDPs enrich only cancer-related pro- teins, at variance with previous results reporting that IDPs are widespread also in cardiovas- cular and neurodegenerative pathologies. Overall, the operational separation of IDPRs from IDPs is relevant towards correct estimates of the occurrence of intrinsically disordered pro- teins in genome-wide studies and in the understanding of the functional spectra associated to different flavors of protein disorder
Co-evolution between codon usage and protein-protein interaction in bacteria
We study the correlation between the codon usage bias of genetic sequences and the network features of protein protein interaction (PPI) in bacterial species. We use PCA techniques in the space of codon bias indices to show that genes with similar patterns of codon usage have a significantly higher probability that their encoded proteins are functionally connected and interacting. Importantly, this signal emerges when multiple aspects of codon bias are taken into account at the same time. The present study extends our previous observations on E. coli over a wide set of 34 bacteria. These findings could allow for future investigations on the possible effects of codon bias on the topology of the PPI network, with the aim of improving existing bioinformatics methods for predicting protein interactions
Progressive NK Cell Dysfunction and ILC Imbalance Favor Immune Evasion in Multiple Myeloma
N
Identification of Conserved Epitopes in SARS-CoV-2 Spike and Nucleocap-sid Protein
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus that first occurred in Wuhan in December 2019. The spike glycoproteins and nucleocapsid proteins are the most common targets for the development of vaccines and antiviral drugs. Objective: We herein analyze the rate of evolution along with the sequences of spike and nucleocapsid proteins in relation to the spatial locations of their epitopes, previously suggested to contribute to the immune response caused by SARS-CoV-2 infections. Methods: We compare homologous proteins of seven human coronaviruses: HCoV-229E, HCoV-OC43,SARS-CoV, HCoV-NL63, HCoV-HKU1, MERS-CoV, and SARS-CoV-2. We then focus on the local, structural order-disorder propensity of the protein regions where the SARS-CoV-2 epitopes are located. Results: We show that most of nucleocapsid protein epitopes overlap the RNA-binding and dimerization domains, and some of them are characterized by a low rate of evolutions. Similarly, spike protein epitopes are preferentially located in regions that are predicted to be ordered and well conserved, in correspondence of the heptad repeats 1 and 2. Interestingly, both the receptor-binding motif to ACE2 and the fusion peptide of spike protein are characterized by a high rate of evolution. Conclusion: Our results provide evidence for conserved epitopes that might help develop broad-spectrumSARS-CoV-2 vaccines
Codon Usage and Phenotypic Divergences of SARS-CoV-2 Genes
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which first occurred in Wuhan (China) in December of 2019, causes a severe acute respiratory illness with a high mortality rate, and has spread around the world. To gain an understanding of the evolution of the newly emerging SARS-CoV-2, we herein analyzed the codon usage pattern of SARS-CoV-2. For this purpose, we compared the codon usage of SARS-CoV-2 with that of other viruses belonging to the subfamily of Orthocoronavirinae. We found that SARS-CoV-2 has a high AU content that strongly influences its codon usage, which appears to be better adapted to the human host. We also studied the evolutionary pressures that influence the codon usage of five conserved coronavirus genes encoding the viral replicase, spike, envelope, membrane and nucleocapsid proteins. We found different patterns of both mutational bias and natural selection that affect the codon usage of these genes. Moreover, we show here that the two integral membrane proteins (matrix and envelope) tend to evolve slowly by accumulating nucleotide mutations on their corresponding genes. Conversely, genes encoding nucleocapsid (N), viral replicase and spike proteins (S), although they are regarded as are important targets for the development of vaccines and antiviral drugs, tend to evolve faster in comparison to the two genes mentioned above. Overall, our results suggest that the higher divergence observed for the latter three genes could represent a significant barrier in the development of antiviral therapeutics against SARS-CoV-2
Clusters of the protein variants in the human proteome.
Hierarchical trees of ORDPs, IDPRs, and IDPs, based on different functional profiles (i.e. biological processes, molecular functions, cellular components, and PANTHER protein classes) are here reported. The length of the branches are not identical and reflect the distance matrices in S1 Table. In all the four cases, ORDPs and IDPRs are robustly separated, as indicated by bootstrap scores, the number of times these two groups clustered together divided by the number of bootstrap replicates (1000).</p
Numbers and frequencies of ORDPs, IDRPs, and IDPs in the human proteome.
Numbers and frequencies of ORDPs, IDRPs, and IDPs in the human proteome.</p
