Evidence map›Paper›PMID 35568809›Full record

ArticleBMC microbiology2022

Dynamic changes in fecal bacterial microbiota of dairy cattle across the production line.

Lei Zhao, Xunde Li, Edward R Atwill, Sharif S Aly, Deniece R Williams, Zhengchang Su

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

16 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Effect of addingFrontiers in microbiology · 2025
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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

6 authors at 3 institutions in 1 country.

Lei ZhaoDepartment of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Xunde LiWestern Institute for Food Safety and Security, University of California, Davis, California, USA. xdli@ucdavis.edu.
Edward R AtwillDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Sharif S AlyDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Deniece R WilliamsDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Zhengchang SuDepartment of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, North Carolina, USA. zcsu@uncc.edu.
University of California, Davis · USUniversity of North Carolina at Charlotte · USInstitute for Food Safety and Health · US

Funding

Understanding the complexity of the transcriptomes in E. coli K12R01GM106013 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI SU, ZHENGCHANG · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM106013
6 · The paper itself

Abstract

backgroundMicrobiota play important roles in the gastrointestinal tract (GIT) of dairy cattle as the communities are responsible for host health, growth, and production performance. However, a systematic characterization and comparison of microbial communities in the GIT of cattle housed in different management units on a modern dairy farm are still lacking. We used 16S rRNA gene sequencing to evaluate the fecal bacterial communities of 90 dairy cattle housed in 12 distinctly defined management units on a modern dairy farm.

resultsWe found that cattle from management units 5, 6, 8, and 9 had similar bacterial communities while the other units showed varying levels of differences. Hutch calves had a dramatically different bacterial community than adult cattle, with at least 10 genera exclusively detected in their samples but not in non-neonatal cattle. Moreover, we compared fecal bacteria of cattle from every pair of the management units and detailed the number and relative abundance of the significantly differential genera. Lastly, we identified 181 pairs of strongly correlated taxa in the community, showing possible synergistic or antagonistic relationships.

conclusionsThis study assesses the fecal microbiota of cattle from 12 distinctly defined management units along the production line on a California dairy farm. The results highlight the similarities and differences of fecal microbiota between cattle from each pair of the management units. Especially, the data indicate that the newborn calves host very different gut bacterial communities than non-neonatal cattle, while non-neonatal cattle adopt one of the two distinct types of gut bacterial communities with subtle differences among the management units. The gut microbial communities of dairy cattle change dramatically in bacterial abundances at different taxonomic levels along the production line. The findings provide a reference for research and practice in modern dairy farm management.

Indexed as

MicrobiotaAnimalsBacteriaCattleFecesGastrointestinal TractRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNABioinformaticsDairy cattleGastrointestinalMicrobiomeProduction line

Identifiers

PMID35568809
PMCPMC9107139
OpenAlexW4280501317

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.