Evidence map›Paper›PMID 42736535›Full record

ArticleBMC microbiology2026

Dietary fiber source-dependent modulation of pregnant sow fecal microbiota, gas profiles, and short-chain fatty acids in vitro.

Weikang Huangfu, Yujie Zheng, Boshuai Liu, Yalei Cui, Zhichang Wang, Yinghua Shi

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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Weikang Huangfu *College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Yujie Zheng *College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Boshuai LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Yalei CuiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Zhichang WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China. zcwang@henan.edu.cn.
Yinghua ShiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China. annysyh@henau.edu.cn.

Funding

Henan Provincial Natural Science Foundation Project No. 262300421477the earmarked fund for CARS No. CARS-33
6 · The paper itself

Abstract

backgroundGrowing evidence indicates that dietary fiber (DF) modulates gut microbiota and microbial fermentation metabolites, but the dynamic fermentation outcomes of different DF sources remain difficult to monitor directly under physiological conditions. This study used an in vitro batch fermentation model inoculated with pregnant sow fecal microbiota to compare the effects of a fiber-free control (CON), commercial concentrated fiber (CCF), beet pulp (BP), and alfalfa meal (AM) on microbial composition, gas concentration profiles, and short-chain fatty acid (SCFA) concentrations at 8, 12, 24, and 36 h.

resultsDifferent fiber substrates generated distinct fermentation profiles. CO₂ was the predominant gas throughout fermentation, whereas H₂ showed clearer substrate-dependent differences. AM generally resulted in higher total measured gas concentration, H₂ concentration, and total SCFA concentration than the other treatments. 16 S rRNA sequencing showed that different fiber substrates shaped the overall fecal microbial community structure, with selected genus-level taxa, including Lactobacillus, norank_f__Muribaculaceae, Prevotellaceae_NK3B31_group, Holdemanella, and Fusobacterium, exhibiting substrate-associated variation patterns. Correlation analysis further linked H₂ with SCFAs and selected fermentation-associated taxa. PICRUSt2 prediction suggested that AM fermentation was associated with differences in predicted microbial functional potential.

conclusionsThese findings indicate that different DF sources generate substrate-specific fecal microbial fermentation patterns in vitro. Among the tested substrates, AM produced a stronger SCFA- and H₂-associated fermentation response and was linked with selected microbial response patterns. Integrated correlation analysis suggested microbiota-associated co-variation between H₂ and SCFAs during DF fermentation, which requires further validation.

Indexed as

BacteriaDietary FiberFatty Acids, VolatileFecesGasesGastrointestinal MicrobiomeAnimalsCarbon DioxideFemaleFermentationMedicago sativaPregnancyRNA, Ribosomal, 16SCarbon DioxideDietary FiberFatty Acids, VolatileGasesRNA, Ribosomal, 16SDietary fiberFecal microbiotaGas concentration profilesIn vitro fermentationShort-chain fatty acids

Identifiers

PMID42736535
PMCPMC13573441

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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.