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Link to original content: http://pubmed.ncbi.nlm.nih.gov/39552645/
Altitude shapes gut microbiome composition accounting for diet, thyroid hormone levels, and host genetics in a subterranean blind mole rat - PubMed Skip to main page content
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. 2024 Nov 1:15:1476845.
doi: 10.3389/fmicb.2024.1476845. eCollection 2024.

Altitude shapes gut microbiome composition accounting for diet, thyroid hormone levels, and host genetics in a subterranean blind mole rat

Affiliations

Altitude shapes gut microbiome composition accounting for diet, thyroid hormone levels, and host genetics in a subterranean blind mole rat

Halil Mert Solak et al. Front Microbiol. .

Abstract

The animal gut microbiome acts as a crucial link between the host and its environment, playing a vital role in digestion, metabolism, physiology, and fitness. Using 16S rRNA metabarcoding, we investigated the effect of altitude on the microbiome composition of Anatolian Blind Mole Rats (Nannospalax xanthodon) across six locations and three altitudinal groups. We also factored in the host diet, as well as host microsatellite genotypes and thyroid hormone levels. The altitude had a major effect on microbiome composition, with notable differences in the relative abundance of several bacterial taxa across elevations. Contrary to prior research, we found no significant difference in strictly anaerobic bacteria abundance among altitudinal groups, though facultatively anaerobic bacteria were more prevalent at higher altitudes. Microbiome alpha diversity peaked at mid-altitude, comprising elements from both low and high elevations. The beta diversity showed significant association with the altitude. Altitude had a significant effect on the diet composition but not on its alpha diversity. No distinct altitude-related genetic structure was evident among the host populations, and no correlation was revealed between the host genetic relatedness and microbiome composition nor between the host microbiome and the diet. Free thyroxine (FT4) levels increased almost linearly with the altitude but none of the bacterial ASVs were found to be specifically associated with hormone levels. Total thyroxine (TT4) levels correlated positively with microbiome diversity. Although we detected correlation between certain components of the thyroid hormone levels and the microbiome beta diversity, the pattern of their relationship remains inconclusive.

Keywords: 16S; 18S; altitude adaptation; blind mole rats; diet; gut microbiome; high altitude; thyroid.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The sampling area in the Central Taurus mountains, Türkiye. The insert on the right shows the geographic location within the Anatolian peninsula.
Figure 2
Figure 2
(A) The relative abundance of dominant bacterial phyla among the sampling localities and (B) altitudinal groups (X-axis represents % of the abundance of all reads). (C) Variation in the GM diversity (number of observed ASVs, Shannon, and Simpson diversity indices) across altitudes (p-values are given from WT analysis). (D) PCoA plot on Bray–Curtis dissimilarity metric showing the divergence between gut microbiota from altitudinal groups.
Figure 3
Figure 3
Variation of predicted bacterial phenotypes among the altitudinal groups. Values in the y-axis represent the BugBase bacterial phenotype prediction.
Figure 4
Figure 4
(A) The relative abundance of dominant plant orders among the sampling localities and (B) altitudinal groups (X-axis represents % of the abundance of all reads). (C) Box-plot showing variation in diet diversity (number of observed ASVs, Shannon, and Simpson diversity indices) between altitudes. Both WT and GLMM showed no significant difference between altitudes. (D) PCoA of Bray–Curtis dissimilarity in diet composition among the individuals, altitudes, and localities.
Figure 5
Figure 5
Thyroid hormone levels among altitudinal groups. (A) fT4 levels and (B) fT4/TT4 ratio.

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Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The fieldwork and the laboratory analysis were supported by TÜBITAK grants 117Z596 and 220Z032 (to AY), respectively, while DC and JK were supported by the Czech Science Foundation (19-19307S). This research has been supported by the Ministry of Education, Youth and Sports of the Czech Republic grant talking microbes - understanding microbial interactions within One Health framework (CZ.02.01.01/00/22_008/0004597). The microsatellite genotyping was supported by Bülent Ecevit University (Grant Number: 2019-YKD-84906727-01 to AY). YH was supported by the German Research Foundation (Deutsche Forschungsgemeinschaft, grant number HE 7661/1–1) and the IFORES program of the Faculty of Medicine, University of Duisburg-Essen. The visits of HMS to the Institute of Vertebrate Biology Czech Academy of Sciences and to Charles University were supported by the EMBO Scientific Exchange Grant (#9427) and WAME Research Exchange Scheme (funded by the European Society for Evolutionary Biology), respectively. The numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA).

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