Evidence map›Paper›PMID 32627363›Full record

ArticleMicrobial biotechnology2021

The bacterial community and metabolome dynamics and their interactions modulate fermentation process of whole crop corn silage prepared with or without inoculants.

Dongmei Xu, Nian Wang, Marketta Rinne, Wencan Ke, Zwika G Weinberg, Mi Da, Jie Bai, Yixin Zhang, Fuhou Li, Xusheng Guo

Abstract read
In one paragraph

Article in Microbial biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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  11. The synergistic effect between sodium selenite and Pediococcus acidilactici on fermentation quality and aerobic stability of alfalfa silage.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  12. Article
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  14. Fermentation Characteristics, Nutrient Content, and Microbial Population ofAnimals : an open access journal from MDPI · 2025
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  15. Review
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  17. Article
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11 more citing papers are in PubMed but not listed here.

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

10 authors.

Dongmei XuState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Nian WangNextomics Biosciences Institute, Wuhan, 430000, China.
Marketta RinneNatural Resources Institute Finland (Luke) Animale, Jokioinen, 31600, Finland.
Wencan KeState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Zwika G WeinbergMicrobial Food-Safety Research Unit, Department of Food Quality and Safety, The Volcani Center, Agriculture Research Organization, Institute for Postharvest and Food Sciences, Derech HaMaccabim Road 68, POB 15159, Rishon-LeZion, 7528809, Israel.
Mi DaNextomics Biosciences Institute, Wuhan, 430000, China.
Jie BaiState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Yixin ZhangState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Fuhou LiState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Xusheng GuoState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China.ORCID 0000-0002-5587-3920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-omics approach was adopted to investigate the modulation of bacterial microbiota and metabolome as well as their interactions in whole crop corn ensiling systems by inoculating homofermentative Lactobacillus plantarum or heterofermentative Lactobacillus buchneri. Inoculations of the two different inoculants resulted in substantial differences in microbial community and metabolic composition as well as their dynamics in ensiled corn. Inoculants also altered the correlations of microbiota in different manners, and various keystone species were identified in corn silages with different treatments. Many metabolites with biofunctional activities like bacteriostatic, antioxidant, central nervous system inhibitory and anti-inflammatory were found in the present silage. A constitutive difference in microbiota dynamics was found for several pathways, which were upregulated by specific taxa in middle stage of fermentation, and widespread associations between metabolites with biofunctions and the species of lactic acid bacteria dominated in silage were observed. Multiple microbial and metabolic structures and dynamics were correlated and affected the fermentation process of the corn ensiling systems. Results of the current study improve our understanding of the complicated biological process underlying silage fermentation and provide a framework to re-evaluate silages with biofunctions, which may contribute to target-based regulation methods to produce functional silage for animal production.

Indexed as

SilageZea maysAnimalsFermentationLactobacillusMetabolome

Identifiers

PMID32627363
PMCPMC7936295

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Registered trials

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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.