Evidence map›Paper›PMID 37698393›Full record

ArticleMicrobiology spectrum2023

The loss of microbial autotoxin degradation functions is associated with the decline of beneficial bacterial agents induced by phenolic acids.

Baoying Wang, Yulan Lin, Wenhao Yu, Qing Xia, Ahmad Ali, Fugang Wei, Chuanchao Dai, Jinbo Zhang, Zucong Cai, Jun Zhao

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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 1 institution in 1 country.

Baoying WangSchool of Geography, Nanjing Normal University , Nanjing, China.
Yulan LinSchool of Geography, Nanjing Normal University , Nanjing, China.
Wenhao YuSchool of Geography, Nanjing Normal University , Nanjing, China.
Qing XiaSchool of Geography, Nanjing Normal University , Nanjing, China.
Ahmad AliSchool of Geography, Nanjing Normal University , Nanjing, China.
Fugang WeiMiaoxiang Sanqi Technology Co., Ltd. , Wenshan, China.
Chuanchao DaiCollege of Life Sciences, Nanjing Normal University , Nanjing, China.
Jinbo ZhangSchool of Geography, Nanjing Normal University , Nanjing, China.
Zucong CaiSchool of Geography, Nanjing Normal University , Nanjing, China.
Jun ZhaoSchool of Geography, Nanjing Normal University , Nanjing, China.ORCID 0000-0002-6691-2999
Nanjing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceSanqi ginseng is a valuable perennial Chinese herb with various benefits for human health. However, continuous cultivation causes a high incidence of root rot disease, which leads to decreased yield and serious economic losses and ultimately impedes the sustainable development of Chinese medicine production. The significance of this study is to reveal the pattern of changes in beneficial bacteria and their related functions in root rot diseased rhizosphere with the successive planting years of Sanqi ginseng. This study found that the decline of beneficial bacterial agents mediated by phenolic acid profiles appears to be associated with the loss of microbial autotoxin degradation functions. This result may have new implications for deciphering the causes of Sanqi ginseng's continuous cropping obstacles.

Indexed as

autotoxin degradation functionsbeneficial agentsPanax notoginsengphenolic acidsRoot rot

Identifiers

PMID37698393
PMCPMC10581185
OpenAlexW4386624726

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.