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Morais, D. A. d. A.

Publications and source records attributed to Morais, D. A. d. A..

2 recordsLinked to original sources

Metagenomic analyses reveal the influence of depth layers on marine biodiversity in tropical and subtropical regions.

The emergence of open ocean global-scale studies provided important information about the genomics of oceanic microbial communities. Metagenomic analyses shed a light on the structure of marine habitats, unraveling the biodiversity of different water masses. Many biological and environmental factors can contribute to marine organism composition, such as depth. However, much remains unknown about the taxonomic and functional features of microbial communities in different water layer depths. Here, we performed a metagenomic analysis of 76 samples from the Tara Ocean Project, distributed in 8 collection stations located in tropical or subtropical regions, and sampled from three layers of depth (surface water layer - SRF, deep chlorophyll maximum layer - DCM, and mesopelagic zone - MES). In total, we assigned genomic sequences to 669.713.333 organisms. The SRF and DCM depth layers are similar in abundance and diversity, while the MES layer presents greater diversity than the other layers. Diversity clustering analysis shows differences regarding the taxonomic content of samples. At the domain level, bacteria prevail in the majority of samples, and the MES layer presents the highest proportion of archaea among all samples. A core of essential biological functions was identified between the depth layers, such as DNA replication, translation, transmembrane transport, and DNA repair. However, some biological functions were found exclusively in each depth layer, suggesting different functional profiles for each of them. Taken together, our results indicate that the depth layer influences microbial sample composition and diversity.

microbiology↗

CoRINs: A tool to compare residue interaction networks from homologous proteins and conformers

MotivationA useful approach to evaluate protein structure and quickly visualize crucial physicochemical interactions related to protein function is to construct Residue Interactions Networks (RINs). By using this application of graphs theory, the amino acid residues constitute the nodes, and the edges represent their interactions with other structural elements. Although several tools that construct RINs are available, many of them do not compare RINs from distinct protein structures. This comparison can give valuable insights into the understanding of conformational changes and the effects of amino acid substitutions in protein structure and function. With that in mind, we present CoRINs (Comparator of Residue Interaction Networks), a software tool that extensively compares RINs. The program has an accessible and user-friendly web interface, which summarizes the differences in several network parameters using interactive plots and tables. As a usage example of CoRINs, we compared RINs from conformers of two cancer-associated proteins. AvailabilityThe program is available at https://github.com/LasisUFRN/CoRINs.

bioinformatics↗