JOURNAL ARTICLE

Analysis of two sampling treatments of beef for microbiome studies based on metataxonomic.

  • Published In: Letters in Applied Microbiology, 2023, v. 76, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Almeida, Otávio G; Freitas, Caio F; Carvalho, Lara M V F; De Martinis, Elaine C P; Nero, Luis A 3 of 3

Abstract

This article focuses on comparing two beef sample preparation methods—serial dilution and exudate collection—for microbial enumeration and metataxonomic analysis, which targets bacterial community composition via 16S rRNA gene sequencing. The study found that both methods yield equivalent bacterial profiles and relative abundances, with exudate samples generating a higher number of sequencing reads but no significant differences in biological diversity metrics. Culture-based enumeration showed slightly higher colony counts in exudate samples, yet both approaches effectively detected clinically and spoilage-relevant bacteria in beef. These findings suggest that food microbiologists can use either method for metataxonomic studies, potentially streamlining workflows by applying the same sample preparation for both culture-dependent and culture-independent analyses.

Additional Information

  • Source:Letters in Applied Microbiology. 2023/04, Vol. 76, Issue 4, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:0266-8254
  • DOI:10.1093/lambio/ovad051
  • Accession Number:164203214
  • Copyright Statement:Copyright of Letters in Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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