Biology subjects

Vieira, L.

Publications and source records attributed to Vieira, L..

7 recordsLinked to original sources

bioRxiv2024

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks

Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spread in host populations. In particular, it is critical to rapidly identify mutations with the potential for immune escape or increased disease burden (variants of concern). Knowing which circulating mutations are such variants of concern can inform treatment or mitigation strategies such as alternative vaccines or targeted social distancing. A recent study proposed that variants of concern can be identified using two quantities extracted from protein language models, grammaticality and semantic change. These quantities are defined in analogy to concepts from natural language processing. Grammaticality is intended to be a measure of whether a variant viral protein is viable, and semantic change is intended to be a measure of potential for immune escape. Here, we systematically test this hypothesis, taking advantage of several high-throughput datasets that have become available, and also testing additional machine learning models for calculating the grammaticality metric. We find that grammaticality can be a measure of protein viability, though the more traditional metric {Delta}{Delta}G appears to be more effective. By contrast, we do not find compelling evidence that semantic change is a useful tool for identifying immune escape mutations.

bioinformatics↗

bioRxiv2023

Deep mutational scanning and machine learning uncover antimicrobial peptide features driving membrane selectivity

Antimicrobial peptides commonly act by disrupting bacterial membranes, but also frequently damage mammalian membranes. Deciphering the rules governing membrane selectivity is critical to understanding their function and enabling their therapeutic use. Past attempts to decipher these rules have failed because they cannot interrogate adequate peptide sequence variation. To overcome this problem, we develop deep mutational surface localized antimicrobial display (dmSLAY), which reveals comprehensive positional residue importance and flexibility across an antimicrobial peptide sequence. We apply dmSLAY to Protegrin-1, a potent yet toxic antimicrobial peptide, and identify thousands of sequence variants that positively or negatively influence its antibacterial activity. Further analysis reveals that avoiding large aromatic residues and eliminating disulfide bound cysteine pairs while maintaining membrane bound secondary structure greatly improves Protegrin-1 bacterial specificity. Moreover, dmSLAY datasets enable machine learning to expand our analysis to include over 5.7 million sequence variants and reveal full Protegrin-1 mutational profiles driving either bacterial or mammalian membrane specificity. Our results describe an innovative, high-throughput approach for elucidating antimicrobial peptide sequence-structure-function relationships which can inform synthetic peptide-based drug design.

biochemistry↗

bioRxiv2021

Whole human genome 5'-mC methylation analysis using long read nanopore sequencing

DNA methylation is a type of epigenetic modification that affects gene expression regulation and is associated with several human diseases. Microarray and short read sequencing technologies are often used to study 5-methylcytosine (5-mC) modification of CpG dinucleotides in the human genome. Although both technologies produce trustable results, the evaluation of the methylation status of CpG sites suffers from the potential side effects of DNA modification by bisulfite and the ambiguity of mapping short reads in repetitive and highly homologous genomic regions, respectively. Nanopore sequencing is an attractive alternative for the study of 5-mC since the long reads produced by this technology allow to resolve those genomic regions more easily. Moreover, it allows direct sequencing of native DNA molecules using a fast library preparation procedure. In this work we show that 10X coverage depth nanopore sequencing, using DNA from a human cell line, produces 5-mC methylation frequencies consistent with those obtained by methylation microarray and digital restriction enzyme analysis of methylation. In particular, the correlation of methylation values ranged from 0.73 to 0.90 using an average genome sequencing coverage depth <2X or a minimum read support of 17X for each CpG site, respectively. We also showed that a minimum of 5 reads per CpG yields strong correlations (>0.89) between sequencing runs and an almost uniform variation in methylation frequencies of CpGs across the entire value range. Furthermore, nanopore sequencing was able to correctly display methylation frequency patterns according to genomic annotations, including a majority of unmethylated and methylated sites in the CpG islands and inter-CpG island regions, respectively. These results demonstrate that low coverage depth nanopore sequencing is a fast, reliable and unbiased approach to the study of 5-mC in the human genome.

genomics↗

bioRxiv2021

Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution

Background and objectivesTo understand how organisms evolve, it is fundamental to study how mutations emerge and establish. Here, we estimated the rate of mutation accumulation of SARS-CoV-2 in vitro and investigated the repeatability of its evolution when facing a new cell type but no immune or drug pressures. MethodologyWe performed experimental evolution with two strains of SARS-CoV-2, one carrying the originally described spike protein (CoV-2-D) and another carrying the D614G mutation that has spread worldwide (CoV-2-G). After 15 passages in Vero cells and whole genome sequencing, we characterized the spectrum and rate of the emerging mutations and looked for evidences of selection across the genomes of both strains. ResultsFrom the mutations accumulated, and excluding the genes with signals of selection, we estimate a spontaneous mutation rate of 1.25x10-6 nt-1 per infection cycle for both lineages of SARS-CoV-2. We further show that mutation accumulation is heterogeneous along the genome, with the spike gene accumulating mutations at rate five-fold higher than the genomic average. We also observe the emergence of mutators in the CoV-2-G background, likely linked to mutations in the RNA-dependent RNA polymerase and/or in the error-correcting exonuclease protein. Conclusions and implicationsThese results provide valuable information on how spontaneous mutations emerge in SARS-CoV-2 and on how selection can shape its genome towards adaptation to new environments. Lay summaryMutation is the ultimate source of variation. We estimated how the SARS-COV-2 virus--cause of the COVID-19 pandemic--mutates. Upon infecting cells, its genome can change at a rate of 0.04 per replication. We also find that this rate can change and that its spike protein can adapt, even within few replications.

evolutionary biology↗

bioRxiv2020

Genomic insights on DNase production in Streptococcus agalactiae ST17 and ST19 strains

Streptococcus agalactiae evasion from the human defense mechanisms has been linked to the production of DNases. These were proposed to contribute to the hypervirulence of S. agalactiae ST17/capsular-type III strains, mostly associated with neonatal meningitis. We performed a comparative genomic analysis between ST17 and ST19 human strains with different cell tropism and distinct DNase production phenotypes. All S. agalactiae ST17 strains, with the exception of 2211-04, were found to display DNase activity, while the opposite scenario was observed for ST19, where 1203-05 was the only DNase(+) strain. The analysis of the genetic variability of the seven genes putatively encoding secreted DNases in S. agalactiae revealed an exclusive amino acid change in the predicted signal peptide of GBS0661 (NucA) of the ST17 DNase(-), and an exclusive amino acid change alteration in GBS0609 of the ST19 DNase(+) strain. Further core-genome analysis identified some specificities (SNVs or indels) differentiating the DNase(-) ST17 2211-04 and the DNase(+) ST19 1203-05 from the remaining strains of each ST. The pan-genomic analysis evidenced an intact phage without homology in S. agalactiae and a transposon homologous to TnGBS2.3 in ST17 DNase(-) 2211-04; the transposon was also found in one ST17 DNase(+) strain, yet with a different site of insertion. A group of nine accessory genes were identified among all ST17 DNase(+) strains, including the Eco47II family restriction endonuclease and the C-5 cytosine-specific DNA methylase. None of these loci was found in any DNase(-) strain, which may suggest that these proteins might contribute to the lack of DNase activity. In summary, we provide novel insights on the genetic diversity between DNase(+) and DNase(-) strains, and identified genetic traits, namely specific mutations affecting predicted DNases (NucA and GBS0609) and differences in the accessory genome, that need further investigation as they may justify distinct DNase-related virulence phenotypes in S. agalactiae.

genomics↗

bioRxiv2020

Global gene expression analysis of Streptococcus agalactiae at exponential growth phase

Streptococcus agalactiae is a leading cause of neonatal infections and an increasing cause of infections in adults with underlying diseases. One of the first S. agalactiae isolates to be subjected to whole genome sequencing was NEM316, a strain responsible for a fatal case of septicemia that has been widely used as reference strain for in vitro assays. Whole transcriptome analyses may provide an essential contribute to the understanding of the molecular mechanisms responsible for bacteria adaptation and pathogenicity, still, so far, very few studies were dedicated to the analysis of global gene expression of S. agalactiae. Here, we applied RNA-sequencing to perform a comparative overview of the global gene expression levels of the S. agalactiae reference strain NEM316 at the exponential growth phase. Genes were ranked by expression level and grouped by functional category and 46% of the top-100 expressed genes encode proteins involved in "Translation, ribosomal structure and biogenesis". Among the group of highly expressed genes were also represented genes with no assigned functional category. Although this result warrants further investigation, most of them might be implicated in stress response. As very little is known about the molecular mechanisms behind the release of DNases in vitro and in vivo, we also performed preliminary assays to understand whether direct DNA exposure affects the gene expression of strain NEM316 at the exponential growth phase. No differentially expressed genes were detected, which indicates that follow-up studies are needed to disclose the complex molecular pathways (and stimuli) triggering the release of DNases. In general, we provide data on the global expression levels of NEM316 at exponential growth phase that may contribute to better understand S. agalactiae adaptation and virulence.

genomics↗

bioRxiv2019

Chlamydia trachomatis outbreak: when the virulence-associated genome backbone imports a prevalence-associated major antigen signature

Chlamydia trachomatis is the most prevalent sexually transmitted bacteria worldwide and the causative agent of blinding trachoma. Strains are classified based on ompA genotypes, which are strongly linked with differential tissue tropism and disease outcomes. A lymphogranuloma venereum (LGV) epidemics, characterized by ulcerative proctitis, has emerged in the last two decades (mainly L2b genotype), raising high concern especially due to its circulation among men who have sex with men (MSM). Here, we report an ongoing outbreak (mostly affecting HIV-positive MSM engaging in high-risk practices) caused by an L2b strain with a rather unique genome makeup that precluded the laboratory notification of this outbreak as LGV due to its non-LGV ompA signature. Homologous recombination mediated the transfer of a ~4.5Kbp fragment enrolling CT681/ompA and neighboring genes (CT677/rrf, CT678/pyrH, CT679/tsf, CT680/rpsB) from a serovar D/Da strain likely possessing the typical T1 clade genome backbone associated with most prevalent genotypes (E and F). The hybrid L2b/D-Da strain presents the adhesin and immunodominant antigen MOMP (coded by ompA) with an epitope repertoire typical of non-invasive genital strains, while keeping the genome-dispersed virulence fingerprint of a classical LGV (L2b) strain. As previously reported for inter-clade ompA exchange among non-LGV clades, this unprecedented C. trachomatis genomic mosaic involving a contemporary epidemiologically and clinically relevant LGV strain may have implications on its transmission, tissue tropism and pathogenic capabilities. The emergence of such variants with epidemic and pathogenic potential highlights the need of more oriented surveillance strategies focused on capturing the C. trachomatis evolution in action.

genomics↗