{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T21:19:29Z","timestamp":1791321569900,"version":"4.3.1"},"reference-count":56,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Microbiol."],"abstract":"<jats:p>\n                    The postmortem microbiome has recently moved to the forefront of forensic research, and many studies have focused on the idea that predictable fluctuations in decomposer communities could be used as a \u201cmicrobial clock\u201d to determine time of death. Commonly, the oral microbiome has been evaluated using 16S rRNA gene sequencing to assess the changes in community composition throughout decomposition. We sampled the hard palates of three human donors over time to identify the prominent members of the microbiome. This study combined 16S rRNA sequencing with whole metagenomic (MetaG) and metatranscriptomic (MetaT) sequencing and culturing methodologies in an attempt to broaden current knowledge about how these postmortem microbiota change and might function throughout decomposition. In all four methods, Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes were the dominant phyla, but their distributions were insufficient in separating samples based on decomposition stage or time or by donor. Better resolution was observed at the level of genus, with fresher samples from decomposition clustering away from others\n                    <jats:italic>via<\/jats:italic>\n                    principal components analysis (PCA) of the sequencing data. Key genera in driving these trends included\n                    <jats:italic>Rothia<\/jats:italic>\n                    ;\n                    <jats:italic>Lysinibacillus<\/jats:italic>\n                    ,\n                    <jats:italic>Lactobacillus<\/jats:italic>\n                    ,\n                    <jats:italic>Staphylococcus<\/jats:italic>\n                    , and other Firmicutes; and yeasts including\n                    <jats:italic>Candida<\/jats:italic>\n                    and\n                    <jats:italic>Yarrowia<\/jats:italic>\n                    . The majority of cultures (89%) matched to sequences obtained from at least one of the sequencing methods, while 11 cultures were found in the same samples using all three methods. These included\n                    <jats:italic>Acinetobacter gerneri<\/jats:italic>\n                    ,\n                    <jats:italic>Comamonas terrigena<\/jats:italic>\n                    ,\n                    <jats:italic>Morganella morganii<\/jats:italic>\n                    ,\n                    <jats:italic>Proteus vulgaris<\/jats:italic>\n                    ,\n                    <jats:italic>Pseudomonas koreensis<\/jats:italic>\n                    ,\n                    <jats:italic>Pseudomonas moraviensis<\/jats:italic>\n                    ,\n                    <jats:italic>Raoutella terrigena<\/jats:italic>\n                    ,\n                    <jats:italic>Stenotrophomonas maltophilia<\/jats:italic>\n                    ,\n                    <jats:italic>Bacillus cereus<\/jats:italic>\n                    ,\n                    <jats:italic>Kurthia zopfii<\/jats:italic>\n                    , and\n                    <jats:italic>Lactobacillus paracasei<\/jats:italic>\n                    . MetaG and MetaT data also revealed many novel insects as likely visitors to the donors in this study, opening the door to investigating them as potential vectors of microorganisms during decomposition. The presence of cultures at specific time points in decomposition, including samples for which we have MetaT data, will yield future studies tying specific taxa to metabolic pathways involved in decomposition. Overall, we have shown that our 16S rRNA sequencing results from the human hard palate are consistent with other studies and have expanded on the range of taxa shown to be associated with human decomposition, including eukaryotes, based on additional sequencing technologies.\n                  <\/jats:p>","DOI":"10.3389\/fmicb.2021.689493","type":"journal-article","created":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:15:47Z","timestamp":1623024947000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["Characterization of Bacterial Community Dynamics of the Human Mouth Throughout Decomposition via Metagenomic, Metatranscriptomic, and Culturing Techniques"],"prefix":"10.3389","volume":"12","author":[{"given":"Emily C.","family":"Ashe","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9 M.","family":"Comeau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katie","family":"Zejdlik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Se\u00e1n P.","family":"O\u2019Connell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2021,6,7]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1111\/omi.12191","article-title":"Dynamics of the oral microbiota as a tool to estimate time since death","volume":"32","author":"Adserias-Garriga","year":"2017","journal-title":"Mol Oral Microbiol"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1128\/MR.59.1.143-169.1995","article-title":"Phylogenetic identification and in situ detection of individual microbial cells without cultivation","volume":"59","author":"Amann","year":"1995","journal-title":"Microbiol. 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