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The Component and Functional Pathways of Gut Microbiota Are Altered in Populations with Poor Sleep Quality – A Preliminary Report

Jianghui Zhang
Jianghui Zhang
, 
Xueqing Zhang
Xueqing Zhang
, 
Kexin Zhang
Kexin Zhang
, 
Xiaoyan Lu
Xiaoyan Lu
, 
Guojing Yuan
Guojing Yuan
, 
Huayu Yang
Huayu Yang
, 
Haiyun Guo
Haiyun Guo
, 
Zhihui Zhu
Zhihui Zhu
, 
Tianli Wang
Tianli Wang
, 
Jiahu Hao
Jiahu Hao
, 
Ying Sun
Ying Sun
, 
Puyu Su
Puyu Su
 e 
Zhihua Zhang
Zhihua Zhang
   | 19 giu 2022
Polish Journal of Microbiology's Cover Image
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Article Category: Original Paper
Pubblicato online: 19 giu 2022
Pagine: 241 - 250
Ricevuto: 14 dic 2021
Accettato: 05 apr 2022
DOI: https://doi.org/10.33073/pjm-2022-021
Parole chiave
© 2022 Jianghui Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

Comparison of gut microbiota’s alpha diversity indices between the SD and HC groups, including Observed, Chao 1, ACE, Shannon, Simpson, and Coverage. Plotted in the graphics are the interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles. The abscissa represents a different group; the ordinate represents the value of each diversity index. Different colors distinguish different groups.
Comparison of gut microbiota’s alpha diversity indices between the SD and HC groups, including Observed, Chao 1, ACE, Shannon, Simpson, and Coverage. Plotted in the graphics are the interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles. The abscissa represents a different group; the ordinate represents the value of each diversity index. Different colors distinguish different groups.

Fig. 2

The boxplot chart shows the beta diversity of the bacterial communities from the two groups, based on the Jaccard (A) and Bray-Curtis (B) distances, respectively. The interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles are plotted in the graph. Colors identify each group, and a black dot represents each sample.
The boxplot chart shows the beta diversity of the bacterial communities from the two groups, based on the Jaccard (A) and Bray-Curtis (B) distances, respectively. The interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles are plotted in the graph. Colors identify each group, and a black dot represents each sample.

Fig. 3

Different color dots represent different groups; the horizontal and vertical axis scale is the relative distance without a practical significance; X-variable 1 and variable 2 represent the putative factors influencing changes in the microbial composition of two groups of samples, respectively. The plot is based on the weighted Unifrac distance.
Different color dots represent different groups; the horizontal and vertical axis scale is the relative distance without a practical significance; X-variable 1 and variable 2 represent the putative factors influencing changes in the microbial composition of two groups of samples, respectively. The plot is based on the weighted Unifrac distance.

Fig. 4

The bacterial taxa’s linear discriminant analysis (LDA) effect size (LEfSe). LEfSe plot shows the top ten species with the smallest p-value for each group. Ten bacterial taxa were enriched in the SD group (green), and six bacterial taxa were enriched in the HC group (blue).
The bacterial taxa’s linear discriminant analysis (LDA) effect size (LEfSe). LEfSe plot shows the top ten species with the smallest p-value for each group. Ten bacterial taxa were enriched in the SD group (green), and six bacterial taxa were enriched in the HC group (blue).

Fig. 5

Each point represents a sample and the 95% confidence intervals of the correlation coefficients are shown by grey areas. The relative abundances of genus Holdemanella in the samples were 0.
Each point represents a sample and the 95% confidence intervals of the correlation coefficients are shown by grey areas. The relative abundances of genus Holdemanella in the samples were 0.

Fig. 6

Functional prediction analysis of the gut microbiota in the SD and HC groups. Each color represents one group. The bar graph represents the pathways with a significant difference in relative abundance between the two groups. The figure on the right shows 95.0% confidence intervals and p-value.
Functional prediction analysis of the gut microbiota in the SD and HC groups. Each color represents one group. The bar graph represents the pathways with a significant difference in relative abundance between the two groups. The figure on the right shows 95.0% confidence intervals and p-value.

Correlation analysis of the selected bacterial species with the PSQI score.

Level Taxon name Relative abundance (%) q-value r
Phylum Elusimicrobia 0.171 ± 0.995 0.007* –0.108
Phylum Tenericutes 0.123 ± 0.631 0.030* –0.183
Class Elusimicrobia 0.171 ± 0.995 0.023* –0.108
Class Mollicutes 0.123 ± 0.631 0.069 –0.183
Class Erysipelotrichia 2.606 ± 2.604 0.276   0.384*
Order Elusimicrobiales 0.171 ± 0.995 0.014* –0.108
Order Anaeroplasmatales 0.123 ± 0.631 0.058 –0.183
Order Desulfovibrionales 0.303 ± 0.259 0.188   0.328
Order Erysipelotrichales 2.606 ± 2.604 0.208   0.384
Family Elusimicrobiaceae 0.171 ± 0.995 0.027* –0.108
Family Anaeroplasmataceae 0.123 ± 0.631 0.110 –0.183
Family Desulfovibrionaceae 0.303 ± 0.259 0.286   0.328
Family Erysipelotrichaceae 2.606 ± 2.604 0.339   0.384*
Genus Holdemanella 0.647 ± 1.490 0.033*   0.601**
Genus Elusimicrobium 0.171 ± 0.995 0.033* –0.108
Genus Asteroleplasma 0.123 ± 0.631 0.159 –0.183
Species uncultured_proteobacterium 0.128 ± 0.748 0.035* –0.183
Species uncultured_bacterium 3.700 ± 2.810 0.707   0.323

Demographic characteristics of the participants.

Characteristics SD (n = 17) HC (n = 17) t / χ 2 $\mathrm{t} / \chi^{2}$ p-value
Male/Female 10/7 7/10 0.159 0.303
Age (years) 20.059 ± 0.785 19.662 ± 0.611 1.646 0.109
BMI (kg/m2) 21.229 ± 2.194 20.167 ± 2.172 1.419 0.166
PSQI score   9.059 ± 1.144   5.118 ± 1.576 8.342 < 0.001
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