Evidence map›Paper›PMID 35902439›Full record

ArticleAntonie van Leeuwenhoek2022

Comparative and functional analyses of fecal microbiome in Asian elephants.

Guiding Li, Yi Jiang, Qinyuan Li, Defeng An, Mingwei Bao, Lei Lang, Li Han, Xueshi Huang, Chenglin Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Antonie van Leeuwenhoek, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Guiding LiYunnan Institute of Microbiology, Yunnan University, Kunming, People's Republic of China.
Yi JiangYunnan Institute of Microbiology, Yunnan University, Kunming, People's Republic of China. jiangyi@ynu.edu.cn.ORCID http://orcid.org/0000-0002-1847-252X
Qinyuan LiYunnan Institute of Microbiology, Yunnan University, Kunming, People's Republic of China.
Defeng AnYunnan Institute of Microbiology, Yunnan University, Kunming, People's Republic of China.
Mingwei BaoThe Centre of Asian Elephant Breeding and Rescue, Jinghong, Xishuangbanna, People's Republic of China.
Lei LangYunnan Institute of Microbiology, Yunnan University, Kunming, People's Republic of China.
Li HanInstitute of Microbial Pharmaceuticals, College of Life and Health Sciences, Northeastern University, Shenyang, People's Republic of China. hanli@mail.neu.edu.cn.
Xueshi HuangInstitute of Microbial Pharmaceuticals, College of Life and Health Sciences, Northeastern University, Shenyang, People's Republic of China.
Chenglin JiangYunnan Institute of Microbiology, Yunnan University, Kunming, People's Republic of China.
Yunnan University · CNNortheastern University · CN

Funding

National Natural Science Foundation of China 31270001National Natural Science Foundation of China 31460005
6 · The paper itself

Abstract

Asian elephant is large herbivorous animal with elongated hindgut. To explore fecal microbial community composition with various ages, sex and diets, and their role in plant biomass degrading and nutrition conversation. We generated 119 Gb by metagenome sequencing from 10 different individual feces and identified 5.3 million non-redundant genes. The comprehensive analysis established that the Bacteroidetes, Firmicutes and Proteobacteria constituted the most dominant phyla in overall fecal samples. In different individuals, the alpha diversity of the fecal microbiota in female was lower than male, and the alpha diversity of the fecal microbiota in older was higher than younger, and the fecal microbial diversity was the most complex in wild elephant. But the predominant population compositions were similar to each other. Moreover, the newborn infant elephant feces assembled and maintained a diverse but host-specific fecal microbial population. The discovery speculated that Asian elephant maybe have start to building microbial populations before birth. Meanwhile, these results illustrated that host phylogeny, diets, ages and sex are significant factors for fecal microbial community composition. Therefore, we put forward the process of Asian elephant fecal microbial community composition that the dominant populations were built first under the guidance of phylogeny, and then shaped gradually a unique and flexible gut microbial community structure under the influences of diet, age and sex. This study found also that the Bacteroidetes were presumably the main drivers of plant fiber-degradation. A large of secondary metabolite biosynthetic gene clusters, and genes related to enediyne biosynthesis were found and showed that the Asian elephant fecal microbiome harbored a diverse and abundant genetic resource. A picture of antibiotic resistance genes (ARGs) reservoirs of fecal microbiota in Asian elephants was provided. Surprisingly, there was such wide range of ARGs in newborn infant elephant. Further strengthening our speculation that the fetus of Asian elephant has colonized prototypical fecal microbiota before birth. However, it is necessary to point out that the data give a first inside into the gut microbiota of Asian elephants but too few individuals were studied to draw general conclusions for differences among wild and captured elephants, female and male or different ages. Further studies are required. Additionally, the cultured actinomycetes from Asian elephant feces also were investigated, which the feces of Asian elephants could be an important source of actinomycetes.

Indexed as

ElephantsGastrointestinal MicrobiomeMicrobiotaAnimalsBacteroidetesFecesHumansMetagenomeAsian elephantFecal microbial communityMetagenome sequencing

Identifiers

PMID35902439
OpenAlexW4288439550

What OpenQuestion holds

Textmetadata
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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.