Evidence map›Paper›PMID 39431865›Full record

ArticlemSystems2024

The choice of 16S rRNA gene sequence analysis impacted characterization of highly variable surface microbiota in dairy processing environments.

Sarah E Daly, Jingzhang Feng, Devin Daeschel, Jasna Kovac, Abigail B Snyder

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah E DalyDepartment of Food Science, Cornell University, Ithaca, New York, USA.ORCID 0000-0002-6515-7426
Jingzhang FengDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Devin DaeschelDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Jasna KovacDepartment of Food Science, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-9465-4552
Abigail B SnyderDepartment of Food Science, Cornell University, Ithaca, New York, USA.ORCID 0000-0003-1141-4746

Funding

U.S. Department of Agriculture (USDA) 2022-67017-36289
6 · The paper itself

Abstract

Accurate knowledge of the microbiota collected from surfaces in food processing environments is important for food quality and safety. This study assessed discrepancies in taxonomic composition and alpha and beta diversity values generated from eight different bioinformatic workflows for the analysis of 16S rRNA gene sequences extracted from the microbiota collected from surfaces in dairy processing environments. We found that the microbiota collected from environmental surfaces varied widely in density (0-9.09 log

Indexed as

MicrobiotaRNA, Ribosomal, 16SBacteriaDairyingDairy ProductsFood HandlingFood MicrobiologyRNA, Ribosomal, 16Samplicon sequencingbioinformaticsdairy processing environmentsfood safetymicrobial ecology

Identifiers

PMID39431865
PMCPMC11575208

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.