Agostinho Antunes’s research while affiliated with University of Porto and other places

Aniline and crude oil are common environmental pollutants that present a significant risk to both the ecological and human health environments. The implementation of efficacious bioremediation strategies is imperative for the elimination of these contaminants. In this study, a bacterial strain designated DH-2 was isolated from soil contaminated with aniline. The strain was identified as belonging to the genus Rhodococcus. The optimal conditions for the growth and aniline degradation by strain DH-2 were determined to be pH 8.0 and 35 °C, respectively. Under these conditions, the degradation rate of aniline at a concentration of 1000 mg/L exceeded 90% within 36 h. Even in the presence of 4% NaCl, the degradation rate remained above 60%. HPLC–MS analysis revealed that the aniline degradation pathway of strain DH-2 follows the catechol pathway. Additionally, strain DH-2 is capable of utilizing crude oil as the sole carbon source, achieving a degradation rate of 91.0% for 2% crude oil concentration within 4 days. In soil modeling experiments, strain DH-2 was observed to degrade aniline and crude oil under triple stress conditions, including 1000 mg/L aniline, 2% crude oil, and 20 mg/L Fe(II) or Pb(II). Complete degradation of aniline and crude oil was achieved after 3 days and 12 days, respectively. The addition of Fe(II) or Pb(II) ions was found to enhance the degradation ability of DH-2. These results demonstrate that strain DH-2 is an extremely effective biodegradable strain, with potential applications in the remediation of environments contaminated with aniline and crude oil, even in the presence of heavy metals.

Antimicrobial peptides (AMPs) have potential against antimicrobial resistance and serve as templates for novel therapeutic agents. While most AMP databases focus on terrestrial eukaryotes, marine cephalopods represent a promising yet underexplored source. This study reveals the putative reservoir of AMPs encrypted within the proteomes of cephalopod salivary glands via in silico proteolysis. A composite protein database comprising 5,412,039 canonical and noncanonical proteins from salivary apparatus of 14 cephalopod species was subjected to digestion by 5 proteases under three protocols, yielding over 9 million of nonredundant peptides. These peptides were effectively screened by a selection of 8 prediction and sequence comparative tools, including machine learning, deep learning, multiquery similarity-based models, and complex networks. The screening prioritized the antimicrobial activity while ensuring the absence of hemolytic and toxic properties, and structural uniqueness compared to known AMPs. Five relevant AMP datasets were released, ranging from a comprehensive collection of 542,485 AMPs to a refined dataset of 68,694 nonhemolytic and nontoxic AMPs. Further comparative analyses and application of network science principles helped identify 5466 unique and 808 representative nonhemolytic and nontoxic AMPs. These datasets, along with the selected mining tools, provide valuable resources for peptide drug developers.

Fighting cock breeds have considerable historical and cultural place in Thailand. Breeds such as Lueng Hang Khao (LHK) and Pradu Hang Dam (PDH) are known for their impressive plumage and unique meat quality, suggesting selection for fighting and other purposes. However, information regarding the genetic diversity and clustering in indigenous and local Thai chickens used for cockfighting is unclear. To investigates the genetic diversity and differentiation in Thai fighting cock breeds, including populations for cockfighting, ornamental aspects, and consumption. Thai fighting cook breeds, including LHK and PDH chickens were analyzed using genotyping with 28 microsatellite loci. Data were compared to a gene pool library from “The Siam Chicken Bioresource Project” to understand the impact of human selection on genetic differentiation. Fighting cock strains from different breeds may cluster owing to shared breeding goals. The analysis of several chicken breeds showed subpopulation differentiation driven by artificial selection and genetic drift, affecting the genetic landscape and causing genetic hitchhiking. Eleven of 28 microsatellite loci showed hitchhiking selection, indicating directional selection in fighting cocks. Additionally, analyses revealed admixture with domestic chicken breeds and minimal influence of red junglefowl in the gene pool of Thai fighting chickens. These findings inform breed improvement, selection strategies, genetic resource management, and maintaining genetic diversity in fighting cocks. Analysis of Thai Fighting chicken breeds revealed a correlation between utilization and subpopulation differentiation. Specifically, selection for cockfighting and ornamental traits appears to explain the observed genetic structure within these breeds.

Antiviral peptides (AVPs) represent a promising strategy for addressing the global challenges of viral infections and their growing resistances to traditional drugs. Lab-based AVP discovery methods are resource-intensive, highlighting the need for efficient computational alternatives. In this study, we developed five non-trained but supervised multi-query similarity search models (MQSSMs) integrated into the StarPep toolbox. Rigorous testing and validation across diverse AVP datasets confirmed the models’ robustness and reliability. The top-performing model, M13+, demonstrated impressive results, with an accuracy of 0.969 and a Matthew’s correlation coefficient of 0.71. To assess their competitiveness, the top five models were benchmarked against 14 publicly available machine-learning and deep-learning AVP predictors. The MQSSMs outperformed these predictors, highlighting their efficiency in terms of resource demand and public accessibility. Another significant achievement of this study is the creation of the most comprehensive dataset of antiviral sequences to date. In general, these results suggest that MQSSMs are promissory tools to develop good alignment-based models that can be successfully applied in the screening of large datasets for new AVP discovery.

Reference genomes are key resources in biodiversity conservation. Yet, sequencing efforts are not evenly distributed in the tree of life questioning our true ability to enlighten conservation with genomic data. Good quality reference genomes remain scarce in octocorals while these species are highly relevant target for conservation. Here, we present the first annotated reference genome in the red coral, Corallium rubrum (Linnaeus, 1758), a habitat-forming octocoral from the Mediterranean and neighboring Atlantic, impacted by overharvesting and anthropogenic warming-induced mass mortality events. Combining long reads from Oxford Nanopore Technologies (ONT), Illumina paired-end reads for improving the base accuracy of the ONT-based genome assembly and Arima Hi-C contact data to place the sequences into chromosomes, we assembled a genome of 475 Mb (21 chromosomes, 326 scaffolds) with contig and scaffold N50 of 1.6 Mb and 16.2 Mb, respectively. Fifty percent of the sequence (L50) was contained in eight superscaffolds. The consensus quality (QV) of the final assembly was 42 and the gene completeness reported by BUSCO was 74% (metazoa_odb10 database). We annotated 39,114 protein-coding genes and 32,678 non-coding transcripts. This annotated chromosome-level genome assembly, one of the first in octocorals, is currently used in a project based on whole genome re-sequencing dedicated to the conservation and management of C. rubrum . Significance Statement The Mediterranean red coral, Corallium rubrum , is critically impacted by overharvesting and by mass mortality events linked to marine heat waves. Accordingly, C. rubrum is increasingly receiving conservation efforts. Previous population genetics studies based on microsatellites contributed to improving our knowledge of the species ecology. Yet, crucial questions regarding, admixture among lineages, demographic history, effective population sizes and local adaptation, are still open owing to a lack of genomic resources. Here, we present the first chromosome-level genome assembly for the species with high contiguity, good completeness and protein-coding genes and repeat sequence annotations. This genome, one of the first in octocorals, will pave the way for the integration of population genomics data into ongoing interdisciplinary conservation efforts dedicated to C. rubrum .

Antiviral peptides (AVPs) represent a promising strategy for addressing the global challenge of viral infections and their growing resistance to traditional drugs. Lab-based AVP discovery methods are resource-intensive, highlighting the need for efficient computational alternatives. In this study, we developed five non-trained but supervised Multi-Query Similarity Search Models (MQSSMs) integrated into the StarPep toolbox. Rigorous testing and validation across diverse AVP datasets confirmed the models' robustness and reliability. The top-performing model, M13+, demonstrated impressive results with an accuracy of 0.969 and a Matthew’s correlation coeffi-cient of 0.71. To assess their competitiveness, the top five models were benchmarked against 14 publicly available machine learning and deep learning AVP predictors. The MQSSMs outper-formed these predictors, highlighting their efficiency in terms of resource demand and public ac-cessibility. Another significant achievement of this study is the creation of the most comprehensive dataset of antiviral sequences to date.

The North African catfish (Clarias gariepinus) is a significant species in aquaculture, which is crucial for ensuring food and nutrition security. Their high adaptability to diverse environments has led to an increase in the number of farms that are available for their production. However, long-term closed breeding adversely affects their reproductive performance, leading to a decrease in production efficiency. This is possibly caused by inbreeding depression. To investigate the root cause of this issue, the genetic diversity of captive North African catfish populations was assessed in this study. Microsatellite genotyping and mitochondrial DNA D-loop sequencing were applied to 136 catfish specimens, collected from three populations captured for breeding in Thailand. Interestingly, extremely low inbreeding coefficients were obtained within each population, and distinct genetic diversity was observed among the three populations, indicating that their genetic origins are markedly different. This suggests that outbreeding depression by genetic admixture among currently captured populations of different origins may account for the low productivity of the North African catfish in Thailand. Genetic improvement of the North African catfish populations is required by introducing new populations whose origins are clearly known. This strategy should be systematically integrated into breeding programs to establish an ideal founder stock for selective breeding.

Despite tremendous efforts in the past decades, relationships among main avian lineages remain heavily debated without a clear resolution. Discrepancies have been attributed to diversity of species sampled, phylogenetic method and the choice of genomic regions1–3. Here we address these issues by analysing the genomes of 363 bird species⁴ (218 taxonomic families, 92% of total). Using intergenic regions and coalescent methods, we present a well-supported tree but also a marked degree of discordance. The tree confirms that Neoaves experienced rapid radiation at or near the Cretaceous–Palaeogene boundary. Sufficient loci rather than extensive taxon sampling were more effective in resolving difficult nodes. Remaining recalcitrant nodes involve species that are a challenge to model due to either extreme DNA composition, variable substitution rates, incomplete lineage sorting or complex evolutionary events such as ancient hybridization. Assessment of the effects of different genomic partitions showed high heterogeneity across the genome. We discovered sharp increases in effective population size, substitution rates and relative brain size following the Cretaceous–Palaeogene extinction event, supporting the hypothesis that emerging ecological opportunities catalysed the diversification of modern birds. The resulting phylogenetic estimate offers fresh insights into the rapid radiation of modern birds and provides a taxon-rich backbone tree for future comparative studies.