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Pascoal, P. V.

Publications and source records attributed to Pascoal, P. V..

3 recordsLinked to original sources

Bridging Gaps in Soil Ecology: Metagenomic Insights into Microbial Diversity and Functionality Across Brazil's Biomes.

Microorganisms participate in complex interactions involving different kingdoms, so rhizosphere biodiversity mapping is essential for understanding how microbes interact with each other in the soil and with roots. Although soil microbial communities are remarkably diverse and technological advances have provided a high capacity to acquire reliable sequence data, unique microbial taxa in soil, root and rhizosphere samples remain poorly described. For the first time, we organized a consortium to collect soil samples covering all Brazilian biomes, providing a comprehensive and unprecedented view of soil microbial diversity. This understanding is critical, especially within the context of climate change, which affects plant physiology, root exudation and, consequently, the composition and functionality of soil microbial communities. The interactions between soil, roots and rhizosphere are influenced by evolutionary and adaptive forces and shape the production of microbial natural products, which exhibit great therapeutic potential and Mapping and studying rhizosphere microbial biodiversity not only increases our knowledge of soil ecology but also offers valuable insights for developing sustainable practices. We employed both 16S/18S/ITS amplicon and metagenomic short-read shotgun sequencing methods to examine and catalogue the large-scale genomes of culture-independent rhizosphere microbes and their interactions with roots in six terrestrial Brazilian biomes, namely, the Amazon, Atlantic Forest, Cerrado, Caatinga, Pampa and Pantanal. Our results revealed the ubiquity of Proteobacteria, which reflects their adaptability to contrasting environments. Biomes with greater moisture availability, such as the Amazon and Pantanal, exhibited greater diversity and abundance of fast-growing bacteria, such as Proteobacteria, and nutrient cyclers, such as Thaumarchaeota. Arid and semiarid biomes, such as the Caatinga, were dominated by microorganisms tolerant to drought and nutrient-limited environments, such as Actinobacteria. Acidobacteria, which thrive in acidic, nutrient-poor soils, were very abundant in forest biomes. The Planctomycetes phylum also occurred more frequently in areas with a relatively high soil organic matter content, such as the Cerrado. Bacteroidetes was significantly more abundant in Pampa than in the other biomes. The results provide comprehensive insights into soil, root and rhizosphere biodiversity and not only enhance the knowledge of the fundamental biological processes sustaining plant life but also constitute a reliable sequencing databank to address present-day agricultural and environmental challenges.

microbiology↗

GENETIC ENGINEERING THROUGH QUANTUM CIRCUITS: CONSTRUCTION OF CODES AND ANALYSIS OF GENETIC ELEMENTS BIOBLOQU

Quantum biology is an emergent field that investigates quantum-mechanical phenomena, such as superposition, tunneling, and entanglement, in the context of data manipulation from living systems. The exploration and engineering of nucleotide sequences rely on quantum mechanical principles, particularly the use of qubit states for the development of quantum codes. Biological sequencing data is produced at about 1 Gb/h, but analysis lags due to complexity and the limitations of classical computing. Despite these challenges, quantum computing offers a potential tool for analyzing and assembling biological data. Here, we developed quantum codes for genetic engineering. The developed quantum computational framework identifies sequences of interest within a genomic database. It locates the left and right boundaries of the scar region in the JCVI-Syn3B genome and detects 20 nucleotides flanking each boundary. After confirming the left and right ends of the scar, a secondary computational routine performs the targeted insertion of the BioBloQu structure, composed of genetic elements, into the previously characterized scar region. Our algorithms constitute a unique starting point for advanced genetic data manipulation. This tool could accelerate the exploration of large volumes of genetic data and enable the developmental design and assembly of synthetic genomes enhanced by quantum computing. Further improvements in algorithms and codes, along with the expanded availability of devices, will accelerate the search for data for applied genetic research.

bioinformatics↗

The Soil Microbiome of the Caatinga Drylands in Brazil

Drylands represent a significant part of the Earths surface and include essential and vulnerable ecosystems for the global ecological balance. The Caatinga, with its unique biodiversity adapted to the extreme conditions of this semi-arid region, offers a valuable opportunity to expand our knowledge about these ecosystems. Here, this work reveals the high microbial diversity in the soil and rhizosphere of the Caatinga, with the roots presenting more specialized communities. Bacteria such as Bacilli, Alphaproteobacteria and Firmicutes excelled in critical functions such as nutrient cycling. Interplant differences suggested the influence of root exudates. The metagenomic study of interactions between microorganisms in the rhizosphere of selected plants revealed microbial biodiversity and contributed to our understanding of nutrient cycling, plant growth and resistance to water stress. In addition, they demonstrate biotechnological potential to address global challenges such as desertification and food security.

microbiology↗