Evidence map›Paper›PMID 41975538›Full record

ArticleAnimal microbiome2026

Dietary fiber-driven shifts in mycobiota and short-chain fatty acid landscape in porcine hindgut.

Jianwei Qin, Hua Li, Xiaofeng Deng, Shuangmei Huang, Jun He, Aimin Wu, Zhaolai Dai, Jingyi Cai, Gang Tian, Xiangbing Mao and 6 more

Abstract read
In one paragraph

Article in Animal microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jianwei Qin *Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Hua Li *Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Xiaofeng Deng *Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Shuangmei HuangKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Jun HeKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Aimin WuKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Zhaolai DaiState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Jingyi CaiKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Gang TianKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Xiangbing MaoKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Bing YuKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Ping ZhengKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Junqiu LuoKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Hui YanKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Jiayong TangKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Yuheng LuoKey Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China. luoluo212@126.com.

Funding

the Major Science and Technology Project of Sichuan Province 2021ZDZX0009the National Key Research and Development Program of China 2023YFD1301402the National Natural Science Foundation of China 32072743
6 · The paper itself

Abstract

This study employed a porcine model to investigate the dynamic effects of inulin (INU) and microcrystalline cellulose (MCC) on the profiles of intestinal short-chain fatty acids (SCFAs) and the composition of rectal fungal communities. Twenty-four healthy growing pigs were randomly allocated to three groups: a control group (CON), a 5% INU-supplemented group, and a 5% MCC-supplemented group. We hypothesized that soluble, rapidly fermentable INU and insoluble, slowly fermentable MCC would elicit distinct temporal dynamics in the fungal community, and that specific fungal taxa would correlate with SCFA profiles, reflecting a functional link between fungal succession and fiber fermentation. Gas chromatography analysis confirmed that dietary treatments induced distinct SCFA patterns in a time-dependent manner. On day 3, the concentrations of isobutyric acid (IBA) and isovaleric acid (IVA) were higher in the INU group than in the MCC group (P < 0.05). Conversely, on day 6, the concentrations of acetic acid (AA), propionic acid (PA), and total SCFA in the INU group were lower than those in both the CON and MCC groups (P < 0.05). ITS sequencing revealed that both INU and MCC markedly restructured rectal fungal communities, triggering temporal fluctuations in the relative abundances of Ascomycota and Basidiomycota, while selectively enriching functionally diverse genera. Specifically, the INU group exhibited enrichment of Vishniacozyma and Plectosphaerella at day 6, whereas the MCC group was characterized by elevated abundances of Trichosporon (day 6), Alternaria (day 10), Fusariella (day 10) and Paracremonium (day 10). Correlation analysis identified significant associations between key fungal genera and SCFA profiles. On day 3, the abundance of Aspergillus was negatively correlated with IVA and IBA concentrations. In line with this, pigs in INU group displayed reduced Aspergillus concomitant with increased IVA and IBA. On day 6, Vishniacozyma abundance was negatively associated with PA and total SCFAs, which agreed with the observation that the INU group had higher Vishniacozyma but lower PA to total SCFAs ratio relative to the CON and MCC groups (P < 0.05). Collectively, these findings highlight the functional involvement of intestinal fungi in dietary fiber degradation and offer novel insights into fungi-mediated dietary fiber digestion in the host gut.

Indexed as

Dietary fiberFungiHigh-throughput sequencing and metabolomicsSCFAs

Identifiers

PMID41975538
PMCPMC13185285

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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.