Evidence map›Paper›PMID 37202719›Full record

ArticleBMC microbiology2023

Amplicon-based metagenomic association analysis of gut microbiota in relation to egg-laying period and breeds of hens.

Xiang-Yu Wang, Jin-Xin Meng, Wei-Xin Ren, He Ma, Gang Liu, Rui Liu, Hong-Li Geng, Quan Zhao, Xiao-Xuan Zhang, Hong-Bo Ni

Abstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  6. Frontiers 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

10 authors.

Xiang-Yu Wang *College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Jin-Xin Meng *College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Wei-Xin RenCollege of Animal Science & Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang Province, 163319, PR China.
He MaCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Gang LiuCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Rui LiuCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Hong-Li GengCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Quan ZhaoCollege of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin Province, 130118, PR China.
Xiao-Xuan ZhangCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China.
Hong-Bo NiCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, PR China. hongboni@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiota plays an essential role in maintaining gut homeostasis and improving performance, with the composition of microbial communities visibly differing across different laying stages in hens and significantly correlating with egg production. To gain further insights into the association between microbial community characteristics and laying periods in Hy-Line variety brown and Isa brown laying hens, we conducted a 16S rRNA amplicon sequencing survey.

resultsOur result revealed the diversity of bacteria in the early laying period was commonly higher than peak, and in Hy-Line variety brown laying hens were generally higher than Isa brown. Principal coordinate analysis (PCoA) and permutational multivariate analysis of variance (PERMANOVA) revealed that the structure and composition of the gut microbiota of laying hens exhibited significant differences among different groups. Phylum Firmicutes, Bacteroidota, Proteobacteria, and Fusobacteriota were found that dominant in the host's feces. Therein, the abundance of Fusobacteriota was higher in the peak period than in the early period, while the abundance of Cyanobacteria in the early period was higher in two breeds of hens. Furthermore, random forest based on machine learning showed that there were several distinctly abundant genera, which can be used as potential biomarkers to differentiate the different groups of laying periods and breeds. In addition, the prediction of biological function indicated the existing discrepancy in microbial function among the microbiota of four groups.

conclusionsOur findings offer new insights into the bacterial diversity and intestinal flora composition of different strains of laying hens during various laying periods, contributing significantly to the improvement of production performance and the prevention of chicken diseases.

Indexed as

CyanobacteriaGastrointestinal MicrobiomeMicrobiotaAnimalsChickensFemaleRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA sequencingBioinformaticGut microbiotaLaying hens

Identifiers

PMID37202719
PMCPMC10193603

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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.