Evidence map›Paper›PMID 41981704›Full record

ArticleEnvironmental microbiome2026

Identification of silage bacterial clusters and analysis of their microecological characteristics.

Mao Li, Shuo Wu, Xuejuan Zi

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Article in Environmental 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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mao Li *Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, Hainan, 571737, China. limaohn@163.com.
Shuo Wu *Key Laboratory of Ministry of Education for Genetics and Germplasm Innovation of Tropical Special Trees and Ornamental Plants, Key Laboratory of Germplasm Resources of Tropical Special Ornamental Plants of Hainan Province, School of Tropical Agriculture and Forestry, Hainan University, Danzhou, Hainan, 571737, China.
Xuejuan ZiKey Laboratory of Ministry of Education for Genetics and Germplasm Innovation of Tropical Special Trees and Ornamental Plants, Key Laboratory of Germplasm Resources of Tropical Special Ornamental Plants of Hainan Province, School of Tropical Agriculture and Forestry, Hainan University, Danzhou, Hainan, 571737, China. zixuejuan@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnterotypes refer to the different bacterial clusters in the gut microecosystem, which are closely related to host physiology, digestion, disease, and other phenotypes. However, whether there are clear clusters in the silage microecosystem, and the fermentation quality and characteristics of unique cluster silage remain unknown. To determine whether distinct bacterial clusters exist in the silage microecosystem and to characterize their fermentation properties, we analyzed the bacterial community composition and fermentation quality of 156 silage samples, and further explored their underlying microbial ecological features.

resultsWe confirmed three distinct clusters in the silage microbiome, which were named according to their dominant bacterial taxa: the E-cluster (characterized by a higher abundance of unclassified Enterobacteriaceae (UG)), the P-cluster (enriched with Pseudomonas and Janthinobacterium), and the L-cluster (dominated by Lactobacillus). These microbial clusters were closely associated with fermentation quality: the L-cluster exhibited superior silage quality compared to the E- and P-clusters. Meanwhile, the microbial functional profiles differed significantly among the three clusters of silage. Numerous pathways were significantly enriched in the P-cluster, such as the Biosynthesis of other secondary metabolites, etc. Moreover, bacterial co-occurrence networks of three clusters silage displayed cooperative interactions mainly, P-cluster silage network was more complex and tighter, E-cluster silage has more functional microbial units and more stable. Furthermore, the assembly of microbial communities in the three silage clusters was dominated by stochastic processes. Specifically, the E-cluster and L-cluster were governed by ecological drift, while dispersal limitation was more influential in the P-cluster.

conclusionsOverall, we found in our study that the silage microbiome can be divided into three clusters, and different clusters have significant differences in fermentation quality, microbial diversity and compositions, functional profiles, microbial network characteristics and community assembly mechanisms. These results could broaden our comprehension of the silage microbial ecology processes and also provide a scientific basis on which to develop a method to precisely regulate silage quality.

Indexed as

Community assemblyCommunity clusterCo-occurrence networksFermentation qualitySilage microbiome

Identifiers

PMID41981704
PMCPMC13185350

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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.