Evidence map›Paper›PMID 32216756›Full record

ArticleBMC microbiology2020

Characterisation of the gut microbial community of rhesus macaques in high-altitude environments.

Yuhan Wu, Yongfang Yao, Mengmeng Dong, Tianrui Xia, Diyan Li, Meng Xie, Jiayun Wu, Anxiang Wen, Qin Wang, Guangxiang Zhu and 3 more

Abstract readComparative Study
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  17. Comparative Analyses ofEcology and evolution · 2024
    Article
  18. Gut microbial community in proboscis monkeys (Royal Society open science · 2024
    Article
  19. Review
  20. Enhancing Rumen Fermentation and Bacteria Community in Sika Deer (Animals : an open access journal from MDPI · 2024
    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

13 authors.

Yuhan WuCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Yongfang YaoCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Mengmeng DongCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Tianrui XiaCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Diyan LiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Meng XieCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Jiayun WuCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Anxiang WenCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Qin WangCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Guangxiang ZhuCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China.
Qingyong NiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Mingwang ZhangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Huailiang XuCollege of Life Science, Sichuan Agricultural University, No. 46, Xinkang Road, Yucheng District, Ya'an, Sichuan, 625014, People's Republic of China. xuhuail@sicau.edu.cn.

Funding

National Natural Science Foundation of China 31870355
6 · The paper itself

Abstract

backgroundThe mammal intestinal microbiota is involved in various physiological processes and plays a key role in host environment adaption. However, for non-human primates (NHPs), little is known about their gut microbial community in high-altitude environments and even less about their adaption to such habitats. We characterised the gut microbial community of rhesus macaques from multiple high-altitude environments and compared it to those of low-altitude populations.

resultsWe collected faecal samples of rhesus macaques from four high-altitude populations (above 3000 m) and three low-altitude populations (below 500 m). By calculating the alpha diversity index, we found that high-altitude populations exhibited a higher diversity. Statistical analysis of beta diversity indicated significant differences between high- and low-altitude populations. Significant differences were also detected at the phylum and family levels. At the phylum level, the high-altitude gut microbial community was dominated by Firmicutes (63.42%), while at low altitudes, it was dominated by Bacteroidetes (47.4%). At the family level, the high-altitude population was dominated by Ruminococcaceae (36.2%), while the low-altitude one was dominated by Prevotellaceae (39.6%). Some families, such as Christensenellaceae and Rikenellaceae, were consistently higher abundant in all high-altitude populations. We analysed the overlap of operational taxonomic units (OTUs) in high-altitude populations and determined their core OTUs (shared by all four high-altitude populations). However, when compared with the low-altitude core OTUs, only 65% were shared, suggesting a divergence in core OTUs. Function prediction indicated a significant difference in gene copy number of 35 level-2 pathways between high- and low-altitude populations; 29 of them were higher in high altitudes, especially in membrane transport and carbohydrate metabolism.

conclusionsThe gut microbial community of high-altitude rhesus macaques was significantly distinct from that of low-altitude populations in terms of diversity, composition and function. High-altitude populations were dominated by Firmicutes and Ruminococcace, while in low-altitude populations, Bacteroidetes and Prevotellaceae were dominant. The difference in gut microbiota between these two populations may be caused by differences in host diet, environmental temperature and oxygen pressure. These differentiated gut microbial microorganisms may play a critical role in the adaptive evolution of rhesus macaques to high-altitude environments.

Indexed as

AltitudeAnimalsBacteriaBacterial ProteinsBiodiversityDNA, BacterialDNA, RibosomalFecesGastrointestinal MicrobiomeGene DosageHigh-Throughput Nucleotide SequencingMacaca mulattaPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNABacterial ProteinsDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA geneGut microbial communityHigh-altitude environmentRhesus macaque

Identifiers

PMID32216756
PMCPMC7098161

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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.