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Biology subjects

Leo, K.

Publications and source records attributed to Leo, K..

2 recordsLinked to original sources

Pantoea agglomerans T6SS effectors reside in hotspots with combinatorial offensive and defensive arsenals

Gram-negative bacteria deploy type VI secretion systems (T6SSs) to mediate interbacterial competition. Although numerous T6SS effectors have been identified, their pan-genomic repertoires and evolutionary dynamics remain poorly understood. Here, we combine proteomics and comparative genomics to map the T6SS effector landscape across Pantoea agglomerans, a diverse species that includes pathogenic and beneficial strains. We uncover an extensive pan-genomic arsenal in which most effectors are encoded outside the main T6SS gene cluster, within highly dynamic hotspots distributed across the chromosome and megaplasmids. Analysis of these hotspots reveals multilayered, combinatorial arrangements of shuffled genetic cargo. Remarkably, these loci act as versatile "genomic armories" that co-localize offensive antibacterial weapons with protective anti-phage defense systems. By investigating uncharacterized genes within these variable regions, we discovered and validated a novel T6SS effector and a previously unknown anti-phage defense system, named Juno. Collectively, our findings demonstrate that bacterial warfare arsenals are highly modular and reside in dynamic genomic hubs that alternate or combine interbacterial aggression with viral defense. This evolutionary association reveals a functional blurring between offensive and defensive strategies within the bacterial accessory genome. Our findings further highlight orphan effector-associated variable regions as promising leads in the search for unrecognized bacterial conflict and defense systems.

microbiology↗

Comparing 10x Genomics single-cell 3' and 5' assay in short-and long-read sequencing

Barcoding strategies are fundamental to droplet-based single-cell sequencing, and understanding the biases and caveats between approaches is essential. Here, we comprehensively evaluated both short and long reads of the cDNA obtained through the two marketed approaches from 10x Genomics, the "3 assay" and the "5 assay", which attach barcodes at different ends of the mRNA molecule. Although the barcode detection, cell-type identification, and gene expression profile are similar in both assays, the 5 assay captured more exonic molecules and fewer intronic molecules compared to the 3 assay. We found that 13.7% of genes sequenced have longer average read lengths and are more complete (spanning both polyA-site and TSS) in the long reads from the 5 assay compared to the 3 assay. These genes are characterized by long average transcript length, high intron number, and low expression overall. Despite these differences, cell-type-specific isoform profiles observed from the two assays remain highly correlated. This study provides a benchmark for choosing the single-cell assay for the intended research question, and insights regarding platform-specific biases to be mindful of when analyzing data, particularly across samples and technologies.

bioinformatics↗