Evidence map›Paper›PMID 41316151›Full record

ArticleBMC veterinary research2025

An investigation into variations in the raw milk microbiota of dairy cows in Ningxia, China: effects of season, farm, parity, and health status.

Xiu-Lan Xie, Mei Cao, Shi-Ying Yan, Shu Li, Hai-Hui Gao, Gang Zhang, Ke-Xin Deng, Jia-Yi Zeng, Jian Zhao

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Xiu-Lan XieInstitute of Animal Science, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 75002, P.R. China. xiexiulan99@163.com.
Mei CaoCore Laboratory, School of Medicine, Sichuan Provincial People's Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, 610072, P.R. China.
Shi-Ying YanKey Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, 610064, P.R. China.
Shu LiKey Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, 610064, P.R. China.
Hai-Hui GaoInstitute of Animal Science, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 75002, P.R. China.
Gang ZhangKey Laboratory of Ministry of Education for Protection and Utilization of Special Biological Resources in Western China, Department of Biochemistry and Molecular Biology, College of Life Sciences, Ningxia University, Yinchuan, 750021, P.R. China.
Ke-Xin DengKey Laboratory of Ministry of Education for Protection and Utilization of Special Biological Resources in Western China, Department of Biochemistry and Molecular Biology, College of Life Sciences, Ningxia University, Yinchuan, 750021, P.R. China.
Jia-Yi ZengKey Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, 610064, P.R. China.
Jian ZhaoKey Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, 610064, P.R. China.

Funding

the Natural Science Foundation of Ningxia Hui Autonomous 2022AAC02051This research received support from the foreign cooperation project of Ningxia Academy of Agricultural and Forest Sciences DW-X-2018022
6 · The paper itself

Abstract

backgroundThe raw milk microbiota is closely associated with the physiology and pathology of the mammary gland, and plays a pivotal role in the development of offspring. The aim of this study was to examine the variability of raw milk microbiota diversity in relation to season, farm, parity, and subclinical mastitis status in Ningxia, China.

resultsRaw milk samples were collected from 285 cows in Ningxia, China, followed by the exploration of microbiota using 16S rRNA high-throughput sequencing. Subsequently, all samples were categorized by season (summer vs. winter), health status (healthy vs. subclinical mastitis), farm origins (6 commercial dairy farms), and parity (primiparous vs. multiparous). Bacterial diversity, community composition, and abundance were assessed across these cohorts. Findings indicated significant variation in bacterial diversity of milk between samples collected from summer and winter. Summer samples exhibited higher bacterial richness compared to winter samples. Gut-related genera, including Parabacteroides, Staphylococcus, Corynebacterium_1, Sphingomonas, and Lactobacillus were found to be prevalent in summer milk samples. Conversely, Escherichia-Shigella, Pseudomonas, Streptococcus, Psychrobacter, Rhizobium, Bifidobacterium, and Clostridium_sensu_stricto_1 were commonly observed in winter samples. The subclinical mastitis cows showed a significantly higher alpha diversity value (Chao1 and Shannon indices) compared to the healthy cows (summer). Sporolactobacillus, Mycobacterium, Escherichia-Shigella, and Actionmycetaceae were identified as biomarkers in the subclinical mastitis cows. In addition, the top 20 KEGG pathways were significantly reduced in the subclinical mastitis group compared to the healthy cows in summer, particularly in membrane transport, cell motility, and signal transduction pathways. The bacterial diversity of milk varied significantly across farms. The bacterial composition was more similar between Farms A and B, and between Farms D and F. Whereas Farm C was distinct from all others. In addition, multiparous cows exhibited greater bacterial richness than primiparous cows.

conclusionsThe study indicated that the milk microbiota composition varied with season, farm, health status, and parity. These findings provide insights into the raw milk microflora in this region and can guide local farms in optimizing management and quality control measures.

Indexed as

MicrobiotaMilkAnimalsBacteriaCattleChinaDairyingFarmsFemaleHealth StatusMastitis, BovineParityPregnancyRNA, Ribosomal, 16SSeasonsRNA, Ribosomal, 16SFarmHigh-throughput sequencingRaw milk microbiotaSeasonSubclinical mastitis

Identifiers

PMID41316151
PMCPMC12661811

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.