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This study investigates how cover crops (CC) and different application rates of glyphosate-based herbicide (GBH) may affect soil microbial communities. Our hypothesis was that the use of CC would promote the presence of certain microbial communities in soils and mitigate the potential impact of GBH on these communities. CC can promote biodiversity by increasing plant diversity in fields, while GBH may have non-target effects on species that utilize the shikimate pathway. Crop managements in an experimental field in Southern Québec (Canada) consisted in Glyphosate-based Herbicide (GBH) applications rates at 0.84, 1.67 and 3.33 L ha−1 in corn, soybean and wheat fields cultivated with Direct Seeding along with CC (DSCC) and at 3.33 L ha−1 in similar crops cultivated with direct seeding but without CC (DS). DSCC did not significantly impact microbial richness compared to DS, but did alter specific abundance among prokaryotes and eukaryotes. A permutational multivariate analysis revealed that the type of crop (soybean, wheat, maize) significantly influenced the composition of eukaryotic communities in 2018 and 2019, but not prokaryotic communities. Importantly, the study identifies a cross-effect between CC and GBH application rates suggesting that herbicide use in soybean plots can influence Anaeromyxobacter populations. Also, higher abundance of Enoplea and Maxilopoda were observed in plots with the lower application rate of GBH. Both eukaryotes group are known to be sensitive to crop management. These findings emphasize the need for a holistic approach to agricultural practices, considering the combined effects of both CC and GBH application rates on soil microbial health. Ultimately, the study calls for sustainable agricultural practices that preserve microbial diversity, which is essential for maintaining ecosystem services and soil health. [ABSTRACT FROM AUTHOR]

Background: Accurate taxonomic classification in genome databases is essential for reliable biological research and effective data sharing. Mislabeling or inaccuracies in genome annotations can lead to incorrect scientific conclusions and hinder the reproducibility of research findings. Despite advances in genome analysis techniques, challenges persist in ensuring precise and reliable taxonomic assignments. Existing tools for genome verification often involve extensive computational resources or lengthy processing times, which can limit their accessibility and scalability for large-scale projects. There is a need for more efficient, user-friendly solutions that can handle diverse datasets and provide accurate results with minimal computational demands. This work aimed to address these challenges by introducing a novel tool that enhances taxonomic accuracy, offers a user-friendly interface, and supports large-scale analyses. Results: We introduce a novel tool for the quality control and taxonomic classification tool of prokaryotic genomes, called DFAST_QC, which is available as both a command-line tool and a web service. DFAST_QC can quickly identify species based on NCBI and GTDB taxonomies by combining genome-distance calculations using MASH with ANI calculations using Skani. We evaluated DFAST_QC's performance in species identification and found it to be highly consistent with existing taxonomic standards, successfully identifying species across diverse datasets. In several cases, DFAST_QC identified potential mislabeling of species names in public databases and highlighted discrepancies in current classifications, demonstrating its capability to uncover errors and enhance taxonomic accuracy. Additionally, the tool's efficient design allows it to operate smoothly on local machines with minimal computational requirements, making it a practical choice for large-scale genome projects. Conclusions: DFAST_QC is a reliable and efficient tool for accurate taxonomic identification and genome quality control, well-suited for large-scale genomic studies. Its compatibility with limited-resource environments, combined with its user-friendly design, ensures seamless integration into existing workflows. DFAST_QC's ability to refine species assignments in public databases highlights its value as a complementary tool for maintaining and enhancing the accuracy of taxonomic data in genomic research. The web version is available at https://dfast.ddbj.nig.ac.jp/dqc/submit/, and the source code for local use can be found at https://github.com/nigyta/dfast_qc. [ABSTRACT FROM AUTHOR]

Argentina stands as the seventh-largest wine producer. Its broad geographical and climatic diversity contributes to the production of wines with distinctive regional characteristics. Microorganisms associated with vines play a crucial role in wine quality. Recent studies have revealed significant differences in microbial communities between grape varieties and vineyard locations. In this work, we conducted a comprehensive examination of the diversity of prokaryotic microorganisms in the rhizosphere of vineyards located in three wine regions of Argentina. We used next-generation sequencing methods, concentrating the analysis on two relevant cultivars, Malbec and Cabernet Sauvignon. Both varietals have attracted significant interest in recent research given their distinctive characteristics, which vary according to the geographic growing region. The soil physicochemical properties of the vineyards analysed, were evaluated by principal component analysis, and clustering analysis, allowing us to identify differences among them. Despite no significant variations were observed between Malbec and Cabernet-Sauvignon vineyards, significant differences in microbial diversity were observed among the analysed locations. Taxonomic identification showed distinct microbial compositions across regions, with notable differences in abundance at the family level. Canonical correspondence analysis indicated correlations between soil physicochemical properties and microbial families, highlighting the influence of soil characteristics on microbiota composition. These differences in microbial populations set a site-specific prokaryotic profile that could be used as an identifying signature. Comprehending these interactions is essential for improving vineyard management techniques, ultimately shaping the sensory characteristics of wines crafted in diverse regions.

This study investigates how cover crops (CC) and different application rates of glyphosate-based herbicide (GBH) may affect soil microbial communities. Our hypothesis was that the use of CC would promote the presence of certain microbial communities in soils and mitigate the potential impact of GBH on these communities. CC can promote biodiversity by increasing plant diversity in fields, while GBH may have non-target effects on species that utilize the shikimate pathway. Crop managements in an experimental field in Southern Québec (Canada) consisted in Glyphosate-based Herbicide (GBH) applications rates at 0.84, 1.67 and 3.33 L ha−1 in corn, soybean and wheat fields cultivated with Direct Seeding along with CC (DSCC) and at 3.33 L ha−1 in similar crops cultivated with direct seeding but without CC (DS). DSCC did not significantly impact microbial richness compared to DS, but did alter specific abundance among prokaryotes and eukaryotes. A permutational multivariate analysis revealed that the type of crop (soybean, wheat, maize) significantly influenced the composition of eukaryotic communities in 2018 and 2019, but not prokaryotic communities. Importantly, the study identifies a cross-effect between CC and GBH application rates suggesting that herbicide use in soybean plots can influence Anaeromyxobacter populations. Also, higher abundance of Enoplea and Maxilopoda were observed in plots with the lower application rate of GBH. Both eukaryotes group are known to be sensitive to crop management. These findings emphasize the need for a holistic approach to agricultural practices, considering the combined effects of both CC and GBH application rates on soil microbial health. Ultimately, the study calls for sustainable agricultural practices that preserve microbial diversity, which is essential for maintaining ecosystem services and soil health.

The bacterial chromosome is both highly supercoiled and bound by an ensemble of proteins and RNA, causing the DNA to form a compact structure termed the nucleoid. The nucleoid serves to condense, protect, and control access to the bacterial chromosome through a variety of mechanisms that remain incompletely understood. The nucleoid is also a dynamic structure, able to change both in size and composition. The dynamic nature of the bacterial nucleoid is particularly apparent when studying the effects of various stresses on bacteria, which require cells to protect their DNA and alter patterns of transcription. Stresses can lead to large changes in the organization and composition of the nucleoid on timescales as short as a few minutes. Here, we summarize some of the recent advances in our understanding of how stress can alter the organization of bacterial chromosomes., (© 2024 John Wiley & Sons Ltd.)