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Lima, R. N.

Publications and source records attributed to Lima, R. N..

5 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↗

Development of Int-Plex@ binary memory switch system: plant genome modulation driven by large serine-integrases.

The comprehension of virus-host interactions has allowed numerous advances in developing biotechnological methodologies for plant genome editions, constituting a promising path for plant genetic engineering. Among these advancements, phage- encoded large serine-integrases have emerged as noteworthy tools to modulate plant metabolic pathways by inserting, excising, or inverting DNA stretches in a reversible and specific way. The present work shows the foundation of the Int-Plex@ (INTegrase PLant EXpression) binary memory switch system, which consists of the application of four distinct orthogonal prophage large serine-integrases (Int) (BxB1, phiC31, Int13, and Int9) as an input trigger mechanism for the inversion or excision of genomic DNA. The memory genetic switch is divided into the excision module and the inversion module. The excision module is activated by BxB1 or phiC31 enzymes (input). In this case, the DNA sequence flanked by its attachment sites is excised from the genome (output). The inversion module is activated by Int9 or Int13 (input). The inverted mgf gene sequence is flipped to its functional coding sequence, and the switch output is mGFP. Moreover, prokaryotic-based cell-free in vitro transcription-translation reactions (TxTl) were used as a fast platform for testing Ints attB/P in tandem site activity. Furthermore different plasmid delivery strategies for plant cell Int heterologous expression were tested: leaf tissue agroinfiltration of Agrobacterium tumefaciens transformed with binary plasmids and a biolistic system. After each treatment, the edited genomic DNA sequences were amplified and verified by Sanger and Nanopore sequencing. Despite the challenges of using Ints, the potential benefits are significant and deserve deeper exploration and development. The Int-Plex@ binary genome memory switch system can be applied to produce genetic circuits combined with omics tools and sgRNAs to engineer and modulate plant metabolic pathways temporally and reversibly.

synthetic biology↗

Signal-amplification for cell-free biosensors, an analog-to-digital converter

Toehold switches are biosensors useful for the detection of endogenous and environmental RNAs. They have been engineered to detect virus RNAs in cell-free gene expression reactions. Their inherent sequence programmability makes engineering a fast and predictable process. Despite improvements in the design, toehold switches suffer from leaky translation in the OFF state, which compromises the fold change and sensitivity of the biosensor. To address this, we constructed and tested signal amplification circuits for three toehold switches triggered by Dengue and Sars-CoV-2 RNAs and an artificial RNA. The serine integrase circuit efficientl contained leakage, boosted the expression fold-change from OFF to ON, and decreased the detection limit of the switches by three to four orders of magnitude. Ultimately, the integrase circuit converted the analog switches signals into digital-like output. The circuit is broadly useful for biosensors and eliminates the hard work of designing and testing multiple switches to find the best possible performer. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=171 SRC="FIGDIR/small/536885v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1f62b1borg.highwire.dtl.DTLVardef@882ad5org.highwire.dtl.DTLVardef@1b4138eorg.highwire.dtl.DTLVardef@17001be_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗