{"data":{"id":"10.5061/dryad.w9ghx3fvw","type":"dois","attributes":{"doi":"10.5061/dryad.w9ghx3fvw","prefix":"10.5061","suffix":"dryad.w9ghx3fvw","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Gu, Wenpeng","nameType":"Personal","givenName":"Wenpeng","familyName":"Gu","affiliation":["Yunnan provincial centers for diseases control and prevention"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1960-538X","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Comparative seagulls of gut microbiota by using metagenomics and 16S rDNA sequencing"}],"publisher":"Dryad","container":{},"publicationYear":2023,"subjects":[{"subject":"FOS: Basic medicine","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"FOS: Basic medicine","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Metagenome"},{"subject":"16S rDNA sequencing"},{"subject":"migratory seagulls"},{"subject":"gut microbiota"},{"subject":"comparative analysis"}],"contributors":[],"dates":[{"date":"2023-09-28T05:34:38Z","dateType":"Created"},{"date":"2023-09-28T05:36:14Z","dateType":"Submitted"},{"date":"2023-09-29T00:00:00Z","dateType":"Issued"},{"date":"2023-09-29T00:00:00Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsDerivedFrom","relatedIdentifier":"10.5281/zenodo.8385108","relatedIdentifierType":"DOI"},{"relationType":"IsCitedBy","relatedIdentifier":"10.7717/peerj.16394","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["761111 bytes"],"formats":[],"version":"3","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Shotgun metagenomic and 16S rDNA sequencing are commonly used methods to\n identify the taxonomic composition of microbial communities. We compared\n the metagenome and 16S rDNA amplicon results to demonstrate the features\n of this animal. In general, relatively consistent patterns and reliability\n could be identified by both sequencing methods, but the results varied\n following the refinement of taxonomic levels. Metagenomic sequencing was\n more suitable for the discovery and detection of pathogenic bacteria of\n gut microbiota in seagulls. Although there were large differences in the\n numbers and abundance of bacterial species of the two methods in terms of\n taxonomic levels, the patterns and reliability results of the samples were\n consistent.","descriptionType":"Abstract"},{"description":"# Comparative seagulls of gut microbiota by using metagenomics and 16S\n rDNA sequencing\n [https://doi.org/10.5061/dryad.w9ghx3fvw](https://doi.org/10.5061/dryad.w9ghx3fvw) We compared the metagenome and 16S rDNA amplicon results to identify the taxonomic composition of microbial communities. ## Description of the data and file structure Table1. The total taxa abundance of all samples in this study. -sheet1. The total taxa abundance of all samples for metagenomics -sheet2. The total taxa abundance of all samples for 16S rDNA sequencing Table2. The original data of cladogram for common and unique taxa composition between the two methods. ## Sharing/Access information Data was derived from the following sources: The sequence data have been deposited into the National Center for Biotechnology Information (NCBI), [https://www.ncbi.nlm.nih.gov/](https://www.ncbi.nlm.nih.gov/) with BioProject accession number: PRJNA849401 for metagenome and PRJNA849758 for 16S rDNA sequencing. ## Code/Software We have run the scripts files according to the request.","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[{"schemeUri":"https://ror.org","funderName":"Kunming Medical University","awardNumber":"202001AY070001-291","funderIdentifier":"https://ror.org/038c3w259","funderIdentifierType":"ROR"}],"xml":"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