Evidence map›Paper›PMID 36808254›Full record

ArticlePlanta2023

Dynamic variation of Paris polyphylla root-associated microbiome assembly with planting years.

Shaodong Fu, Yan Deng, Kai Zou, Shuangfei Zhang, Zhenchun Duan, Xinhong Wu, Jin Zhou, Shihui Li, Xueduan Liu, Yili Liang

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.2field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. The genusHorticulture research · 2025
    Article
  4. Article
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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.

Shaodong FuSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Yan DengHunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Kai ZouCollege of Advanced Materials Engineering, Jiaxing Nanhu University, Jiaxing, Zhejiang, China.
Shuangfei ZhangSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Zhenchun DuanSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Xinhong WuSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Jin ZhouSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Shihui LiSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Xueduan LiuSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
Yili LiangSchool of Resource Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, 410083, China. liangyili6@csu.edu.cn.ORCID http://orcid.org/0000-0001-7664-5188
Central South University · CNHunan Academy of Agricultural Sciences · CNJiaxing University · CN

Funding

National Natural Science Foundation of China 31570113
6 · The paper itself

Abstract

MAIN

conclusionP. polyphylla selectively enriches beneficial microorganisms to help their growth. Paris polyphylla (P. polyphylla) is an important perennial plant for Chinese traditional medicine. Uncovering the interaction between P. polyphylla and the related microorganisms would help to utilize and cultivate P. polyphylla. However, studies focusing on P. polyphylla and related microbes are scarce, especially on the assembly mechanisms and dynamics of the P. polyphylla microbiome. High-throughput sequencing of the 16S rRNA genes was implemented to investigate the diversity, community assembly process and molecular ecological network of the bacterial communities in three root compartments (bulk soil, rhizosphere, and root endosphere) across three years. Our results demonstrated that the composition and assembly process of the microbial community in different compartments varied greatly and were strongly affected by planting years. Bacterial diversity was reduced from bulk soils to rhizosphere soils to root endosphere and varied over time. Microorganisms benefit to plants was selectively enriched in P. polyphylla roots as was its core microbiome, including Pseudomonas, Rhizobium, Steroidobacter, Sphingobium and Agrobacterium. The network's complexity and the proportion of stochasticity in the community assembly process increased. Besides, nitrogen metabolism, carbon metabolism, phosphonate and phosphinate metabolism genes in bulk soils increased over time. These findings suggest that P. polyphylla exerts a selective effect to enrich the beneficial microorganisms and proves the sequential increasing selection pressure with P. polyphylla growth. Our work adds to the understanding of the dynamic processes of plant-associated microbial community assembly, guides the selection and application timing of P. polyphylla-associated microbial inoculants and is vital for sustainable agriculture.

Indexed as

LiliaceaeMicrobiotaBacteriaPlant RootsRhizosphereRNA, Ribosomal, 16SSoilSoil MicrobiologyRNA, Ribosomal, 16SSoilCommunity assemblyCompartmentsDynamic variationParis polyphyllaPlanting years

Identifiers

PMID36808254
OpenAlexW4321454722

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.