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dc.contributor.authorAleti, Gajender
dc.contributor.authorBaker, Jonathon L.
dc.contributor.authorTang, Xiaoyu
dc.contributor.authorAlvarez, Ruth
dc.contributor.authorDinis, Márcia
dc.contributor.authorTran, Nini C.
dc.contributor.authorMelnik, Alexey V.
dc.contributor.authorZhong, Cuncong
dc.contributor.authorErnst, Madeleine
dc.contributor.authorDorrestein, Pieter C.
dc.contributor.authorEdlund, Anna
dc.identifier.citationAleti G, Baker JL, Tang X, Alvarez R, Dinis M, Tran NC, Melnik AV, Zhong C, Ernst M, Dorrestein PC, Edlund A. 2019. Identification of the bacterial biosynthetic gene clusters of the oral microbiome illuminates the unexplored social language of bacteria during health and disease. mBio 10:e00321-19.
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractSmall molecules are the primary communication media of the microbial world. Recent bioinformatic studies, exploring the biosynthetic gene clusters (BGCs) which produce many small molecules, have highlighted the incredible biochemical potential of the signaling molecules encoded by the human microbiome. Thus far, most research efforts have focused on understanding the social language of the gut microbiome, leaving crucial signaling molecules produced by oral bacteria and their connection to health versus disease in need of investigation. In this study, a total of 4,915 BGCs were identified across 461 genomes representing a broad taxonomic diversity of oral bacteria. Sequence similarity networking provided a putative product class for more than 100 unclassified novel BGCs. The newly identified BGCs were cross-referenced against 254 metagenomes and metatranscriptomes derived from individuals either with good oral health or with dental caries or periodontitis. This analysis revealed 2,473 BGCs, which were differentially represented across the oral microbiomes associated with health versus disease. Coabundance network analysis identified numerous inverse correlations between BGCs and specific oral taxa. These correlations were present in healthy individuals but greatly reduced in individuals with dental caries, which may suggest a defect in colonization resistance. Finally, corroborating mass spectrometry identified several compounds with homology to products of the predicted BGC classes. Together, these findings greatly expand the number of known biosynthetic pathways present in the oral microbiome and provide an atlas for experimental characterization of these abundant, yet poorly understood, molecules and socio-chemical relationships, which impact the development of caries and periodontitis, two of the world’s most common chronic diseases.en_US
dc.publisherAmerican Society for Microbiologyen_US
dc.rightsCopyright © 2019 Aleti et al.en_US
dc.subjectBiosynthetic gene clustersen_US
dc.subjectGenome miningen_US
dc.subjectOral microbiomeen_US
dc.subjectSmall moleculesen_US
dc.titleIdentification of the Bacterial Biosynthetic Gene Clusters of the Oral Microbiome Illuminates the Unexplored Social Language of Bacteria during Health and Diseaseen_US
kusw.kuauthorZhong, Cuncong
kusw.kudepartmentElectrical Engineering & Computer Scienceen_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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Copyright © 2019 Aleti et al.
Except where otherwise noted, this item's license is described as: Copyright © 2019 Aleti et al.