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Hariharan, J.

Publications and source records attributed to Hariharan, J..

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Biogeographical and phylogenetic constraints on horizontal gene transfer and genome evolution in Streptomyces

The role of horizontal gene transfer (HGT) in shaping bacterial genomes is well recognized, but constraints on gene exchange and the degree to which these constraints shape genome evolution remain poorly described. In this study, we sought to determine whether geographic and phylogenetic distance constrains HGT within and between bacterial species. To address this question, we isolated strains (n = 17) of two closely related bacterial species, Streptomyces griseus and Streptomyces pratensis from two ecologically similar sites. We identified homologous recombination events within the core genomes of these species (557 recent and 457 ancient) and determined that patterns of recombination were constrained primarily by phylogeny rather than geography. Notably, shell accessory genes were over three times more likely to be shared between the same species than with non-related geographical neighbors. The richness of secondary metabolite gene clusters is highly variable with an average of 35 - 55 clusters per genome, depending on clade membership. The majority of secondary metabolite gene clusters (60%) are found in all strains, indicating that they were present in the most recent common ancestor of S. griseus and pratensis. We conclude that most HGT in the core and accessory genome is phylogenetically constrained, while HGT of shell genes is more likely constrained by geography. This outcome indicates that the predominant mechanisms of HGT favor high phylogenetic relatedness, and that rapid gene acquisition and loss in the accessory genome could aid with adaptation to contemporary environmental conditions. ImportanceHorizontal gene transfer (HGT) is a vital ecological and evolutionary force in microbiology, but we still lack a precise understanding of how precisely HGT acts on the gene pool of a species or genus. While HGT can complicate phylogenetic analyses and assumptions of homology, its role in adaptation and acquiring secondary metabolites should not be overlooked. Microbial ecologists agree that the pangenome is a shifting collection of genes that can be influenced by both vertical inheritance and ecological factors. This study examines how the Streptomyces pangenome is shaped by these two forces and offers an important quantitative insight into how HGT shapes bacterial genome dynamics.

microbiology↗

CAFE MOCHA: An Integrated Platform for Discovering Clinically Relevant Molecular Changes in Cancer; an Example of Distant Metastasis and Recurrence-linked Classifiers in Head and Neck Squamous Cell Carcinoma

BackgroundCAFE MOCHA (Clinical Association of Functionally Established MOlecular CHAnges) is an integrated GUI-driven computational and statistical framework to discover molecular signatures linked to a specific clinical attribute in a cancer type. We tested CAFE MOCHA in head and neck squamous cell carcinoma (HNSCC) for discovering a signature linked to distant metastasis and recurrence (MR) in 517 tumors from TCGA and validated the signature in 18 tumors from an independent cohort.\n\nMethodsThe platform integrates mutations and indels, gene expression, DNA methylation and copy number variations to discover a classifier first, predict an incoming tumour for the same by pulling defined class variables into a single framework that incorporates a coordinate geometry-based algorithm, called Complete Specificity Margin Based Clustering (CSMBC) with 100% specificity. CAFE MOCHA classifies an incoming tumour sample using either a matched normal or a built-in database of normal tissues. The application is packed and deployed using the install4j multi-platform installer.\n\nResultsWe tested CAFE MOCHA to discover a signature for distant metastasis and recurrence in HNSCC. The signature MR44 in HNSCC yielded 80% sensitivity and 100% specificity in the discovery stage and 100% sensitivity and 100% specificity in the validation stage.\n\nConclusionsCAFE MOCHA is a cancer type- and clinical attribute-agnostic computational and statistical framework to discover integrated molecular signature for a specific clinical attribute.\n\nCAFE MOCHA is available in GitHub (https://github.com/binaypanda/CAFEMOCHA).

cancer biology↗