Evidence map›Paper›PMID 38533337›Full record

ArticleFrontiers in microbiology2024

Microbial diversity in camel milk from Xinjiang, China as revealed by metataxonomic analysis.

Miao Sun, Wei Shao, Zhengyu Liu, Xianlan Ma, He Chen, Nan Zheng, Yankun Zhao

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

7 authors.

Miao Sun *Institute of Quality Standards and Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences, Laboratory of Quality and Safety Risk Assessment for Agro-products, Ministry of Agriculture, Urumqi, China.
Wei Shao *College of Animal Science Xinjiang Agriculture University, Urumqi, China.
Zhengyu Liu *Institute of Quality Standards and Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences, Laboratory of Quality and Safety Risk Assessment for Agro-products, Ministry of Agriculture, Urumqi, China.
Xianlan MaInstitute of Quality Standards and Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences, Laboratory of Quality and Safety Risk Assessment for Agro-products, Ministry of Agriculture, Urumqi, China.
He ChenInstitute of Quality Standards and Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences, Laboratory of Quality and Safety Risk Assessment for Agro-products, Ministry of Agriculture, Urumqi, China.
Nan ZhengMinistry of Agriculture Laboratory of Quality and Safety Risk Assessment for Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yankun ZhaoInstitute of Quality Standards and Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences, Laboratory of Quality and Safety Risk Assessment for Agro-products, Ministry of Agriculture, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of raw camel milk is affected by its bacterial composition and diversity. However, few studies have investigated the bacterial composition and diversity of raw camel milk. In this study, we obtained 20 samples of camel milk during spring and summer in Urumqi and Hami, Xinjiang, China. Single-molecule real-time sequencing technology was used to analyze the bacterial community composition. The results revealed that there were significant seasonal differences in the bacterial composition and diversity of camel milk. Overall,

Indexed as

bacterial diversitycamel milkpathogenic bacteriapsychrophilic bacteriasingle molecule real-time

Identifiers

PMID38533337
PMCPMC10964795

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Registered trials

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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.