Evidence map›Paper›PMID 37838684›Full record

ArticleNPJ biofilms and microbiomes2023

Native microbiome dominates over host factors in shaping the probiotic genetic evolution in the gut.

Shuaiming Jiang, Chengcheng Zhang, Zhe Han, Wenyao Ma, Shunhe Wang, Dongxue Huo, Weipeng Cui, Qixiao Zhai, Shi Huang, Jiachao Zhang

Open access · goldAbstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  6. Review
  7. Distinct Effects ofMicroorganisms · 2025
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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 at 3 institutions in 2 countries.

Shuaiming Jiang *Key Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, 570228, China.
Chengcheng Zhang *School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China.
Zhe HanKey Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, 570228, China.
Wenyao MaKey Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, 570228, China.
Shunhe WangSchool of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China.
Dongxue HuoKey Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, 570228, China.
Weipeng CuiKey Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, 570228, China.
Qixiao ZhaiSchool of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China. zhaiqixiao@sina.com.
Shi HuangFaculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China. shihuang@hku.hk.
Jiachao ZhangKey Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, 570228, China. zhjch321123@163.com.ORCID 0000-0001-8099-6749
Hainan University · CNJiangnan University · CNHKU-Pasteur Research Pole · HK

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32222066
6 · The paper itself

Abstract

Probiotics often acquire potentially adaptive mutations in vivo, gaining new functional traits through gut selection. While both the host and microbiome can contribute to probiotics' genetic evolution, separating the microbiome and the host's contribution to such selective pressures remains challenging. Here, we introduced germ-free (GF) and specific pathogen-free (SPF) mouse models to track how probiotic strains, i.e., Lactiplantibacillus plantarum HNU082 (Lp082) and Bifidobacterium animalis subsp. lactis V9 (BV9), genetically evolved under selection pressures derived from host factors alone and both host and microbial ecological factors. Notably, compared to the genome of a probiotic strain before consumption, the host only elicited <15 probiotic mutations in probiotic genomes that emerged in the luminal environment of GF mice, while a total of 840 mutations in Lp082 mutants and 21,579 mutations in BV9 were found in SPF mice, <0.25% of those derived from both factors that were never captured by other experimental evolution studies, indicating that keen microbial competitions exhibited the predominant evolutionary force in shaping probiotic genetic composition (>99.75%). For a given probiotic, functional genes occurring in potentially adaptive mutations induced by hosts (GF mice) were all shared with those found in mutants of SPF mice. Collectively, the native microbiome consistently drove a more rapid and divergent genetic evolution of probiotic strains in seven days of colonization than host factors did. Our study further laid a theoretical foundation for genetically engineering probiotics for better gut adaptation through in vitro artificial gut ecosystems without the selection pressures derived from host factors.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaProbioticsAnimalsMice

Identifiers

PMID37838684
PMCPMC10576824
OpenAlexW4387640510

What OpenQuestion holds

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LicenceCC BY
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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.