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Oxford Nanopore Technologies (ONT) long-read sequencing allows for full-length 16S rRNA amplicon sequencing, providing enhanced species-level understanding of the respiratory microbiome. We validated ONT-based FL-16S amplicon sequencing for microbial insights from tracheal aspirates by comparing results with those of Illumina V3\u2013V4 amplicon sequencing. Comparisons were made on a standardized microbial community and tracheal aspirates using multiple DNA extraction kits. Conventional short-read bioinformatic pipelines are suboptimal for processing longer, error-prone ONT reads. The Emu bioinformatics pipeline, specifically designed for ONT FL-16S reads, enhances the accuracy but necessitates validation for tracheal aspirates. In this study, we compared the analysis of FL-16S reads using Emu to the standardized V3\u2013V4 read analysis with QIIME2. Our findings demonstrate that at the same sequencing read depth, FL-16S sequencing analysis with Emu yields comparable alpha and taxonomic diversity metrics, while providing superior species-level resolution compared to V3\u2013V4 amplicon sequencing of tracheal aspirates. Our results show that tracheal aspirates during chronic critical illness are low-diversity samples, with most pathogenic genera represented by a single species. However, members of the oral microbiota\n                      <jats:italic toggle=\"yes\">Streptococcus<\/jats:italic>\n                      and\n                      <jats:italic toggle=\"yes\">Prevotella<\/jats:italic>\n                      are represented by multiple species.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>IMPORTANCE<\/jats:title>\n                    <jats:p>The role of the respiratory microbiome in shaping outcomes for patients with chronic critical illness undergoing prolonged mechanical ventilation via a tracheostomy remains poorly understood, despite its potential to drive infections and complicate recovery. Current methods, such as short-read 16S rRNA sequencing, lack taxonomic resolution to track pathogens at the species level, limiting clinical insights. Our study addresses this gap by validating ONT-based full-length (FL)-16S rRNA sequencing, a method that achieves species-level taxonomic precision critical for analyzing complex respiratory microbiomes. We benchmarked the microbiome composition of tracheal aspirates from ONT FL-16S rRNA workflows against Illumina V3\u2013V4 data to demonstrate that long-read sequencing delivers comparable diversity profiles while resolving species-level diversity of clinically relevant species and microbes associated with the oral microbiome.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1128\/msphere.00388-25","type":"journal-article","created":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T13:01:12Z","timestamp":1753189272000},"update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":11,"title":["Evaluation of V3\u2013V4 and FL-16S rRNA amplicon sequencing approach for microbiota community analysis of tracheostomy aspirates"],"prefix":"10.1128","volume":"10","author":[{"given":"A.","family":"Gupta","sequence":"first","affiliation":[{"name":"Division of Pulmonary, Allergy, Sleep and Critical Care Medicine, University of Pittsburgh School of Medicine","place":["Pittsburgh, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V. 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