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Villa-Rodriguez, E.

Publications and source records attributed to Villa-Rodriguez, E..

3 recordsLinked to original sources

Genome Analysis of Bacillus paralicheniformis AA1 isolated from a conventional milpa farming system in the northwestern region of Sonora, Mexico

This study provides an in-depth genome analysis of Bacillus paralicheniformis AA1, a bacterial strain isolated from a traditional milpa farming system in Sonora, Mexico. The genomic investigation revealed a high level of completeness, demonstrated by the presence of a diverse and functionally significant repertoire of genes associated with fundamental biological processes, including nutrient assimilation, stress response, and cellular regulation. Notably, the genome also contains genes responsible for the biosynthesis of secondary metabolites, highlighting its potential for biotechnological applications. Taxonomic classification was rigorously conducted using integrated genome-wide approaches, which definitively confirmed the identification of isolate AA1 as belonging to the species Bacillus paralicheniformis. Comparative genomic analysis further established a high degree of genetic similarity between AA1 and other B. paralicheniformis strains with well-characterized biotechnological capabilities. This similarity strongly suggests that AA1 harbors genetic elements responsible for the synthesis of antimicrobial compounds, enzymes with industrial relevance, and metabolites that promote plant growth. The findings underscore the potential of Bacillus paralicheniformis AA1 as a valuable resource for biotechnology and sustainable agriculture. By enhancing our understanding of microbial diversity within traditional agroecosystems, this study contributes to the broader knowledge base required for the development of innovative agricultural practices. Future research should focus on functional validation of key genes to fully unlock AA1s potential as a bioresource for antimicrobial production, enzyme synthesis, and crop enhancement, paving the way for its application in environmentally sustainable farming systems.

microbiology↗

Complete genomes of 152 root commensal bacteria from the model legume Lotus japonicus

Bacterial culture collections represent a valuable tool for mechanistic understanding of microbiome assemblies and are increasingly used to assemble tailored synthetic communities to characterize their microbe-microbe interactions and those with the environment. Given the size of these collections, short-read sequencing is primarily used to capture the encoded genetic information. Whilst sufficient for many microbiome studies, this approach is not amenable for understanding bacterial genome evolution or detailed genetic analyses at the entire genome level. Here we report the assembly of 152 full bacterial genomes from the Lj-SPHERE, the Lotus japonicus collection of root commensals. We performed long-read sequencing using Oxford Nanopore technology and used this together with pre-existing Illumina sequences to de novo assemble these into high quality genomes with improved contiguity and quality. These genomes now provide a solid platform for detailed, mechanistic understanding of microbiome assembly, dynamics and evolution in plants.

genomics↗

Nitrogen source and Nod factor signaling map out the assemblies of Lotus japonicus root bacterial communities

Symbiosis with soil-dwelling bacteria that fix atmospheric nitrogen allows legume plants to grow in nitrogen-depleted soil. Symbiosis impacts the assembly of root microbiota, but it is not known how this process takes place and whether it is independent of nitrogen nutrition. We use plant and bacterial mutants to address the role of Nod factor signaling on Lotus japonicus root microbiota assembly. We found that Nod factors are produced by symbionts to activate Nod factor signaling in the host, and this modulates the assembly of a symbiotic root microbiota. Lotus plants grown in symbiosis-permissive or suppressive soils delineated three nitrogen-dependent nutritional states: starved, symbiotic, or inorganic. We found that root and rhizosphere microbiomes associated with these states differ in composition and connectivity, demonstrating that symbiosis and inorganic nitrogen impact the legume root microbiota differently. Finally, we demonstrated that selected bacterial genera delineating state-dependent microbiomes have a high level of accurate prediction.

plant biology↗