Evidence map›Paper›PMID 42321256›Full record

ArticleNPJ biofilms and microbiomes2026

Reprogramming hydrogen metabolism for methane mitigation in dairy cows: mechanistic insights from polyphenols using meta-omics approaches.

Yuchao Zhao, Ying Wang, Sarula Bai, Jian Tan, Haoyu Niu, Ao Zhang, Gang Guo, Luoyun Fang, Linshu Jiang

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 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

9 authors.

Yuchao Zhao *Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China. yuchao.zhao@bua.edu.cn.
Ying Wang *Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
Sarula Bai *Beijing Sunlon Livestock Development Co. Ltd, Beijing, China.
Jian TanBeijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
Haoyu NiuBeijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
Ao ZhangBeijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
Gang GuoBeijing Sunlon Livestock Development Co. Ltd, Beijing, China.
Luoyun FangBeijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China. fangly@bua.edu.cn.
Linshu JiangBeijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China. jls@bua.edu.cn.

Funding

Beijing High-Level Innovation and Entrepreneurship Talent Program-Basic Research Talent Project JR25027Beijing Livestock Industry Innovation Team BAIC05-2025National Key R&D Program of China 2023YFD1301801
6 · The paper itself

Abstract

Enteric methane emissions from ruminants contribute significantly to agricultural greenhouse gases. Plant-derived phytochemicals such as grape seed proanthocyanidins (GSP) are promising natural antimethanogenic feed additives, yet their modes of action remain incompletely understood. This study aimed to comprehensively elucidate the microbiological and functional mechanisms underlying phytochemical-induced methane mitigation using integrative meta-omics. Both in vivo and in vitro experiments demonstrated that GSP supplementation significantly reduced methane emissions; in lactating dairy cows, GSP decreased methane emission intensity by 16.5% (g/kg energy-corrected milk). Metagenomic and metatranscriptomic analyses revealed a reprogramming of microbial communities, with decreased abundance and transcriptional activity of methanogenic archaea (e.g., Methanobrevibacter) and enhanced activity of alternative hydrogenotrophic bacteria (Selenomonas, Veillonella, Sharpea). Functionally, GSP elevated expression of genes involved in reductive acetogenesis (e.g., acsB), nitrate ammonification (narG, nrfA), and sulfate reduction (dsrA), thereby redirecting hydrogen flux away from methanogenesis. These shifts were accompanied by increased microbial carbohydrate metabolism and antioxidative responses. Our findings provide the first meta-omics-based mechanistic framework for understanding methanogenesis suppression by phytochemicals in ruminants. GSP modulates microbial composition and function to reroute reductant flows and suppress archaeal methanogenesis through enhanced bacterial electron sinks. This work highlights the potential of polyphenols to modulate the rumen microbiome for sustainable methane mitigation, supporting the development of next-generation feed additives.

Indexed as

BacteriaHydrogenMethanePolyphenolsAnimal FeedAnimalsArchaeaCattleFemaleMetagenomicsMicrobiotaMultiomicsRumenHydrogenMethanePolyphenols

Identifiers

PMID42321256
PMCPMC13642931

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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.