Evidence map›Paper›PMID 36144325›Full record

ArticleMicroorganisms2022

The Effects of Secondary Growth of

Shuai Shang, Liangyu Li, Zaiwang Zhang, Yu Zang, Jun Chen, Jun Wang, Tao Wu, Jiangbao Xia, Xuexi Tang

Abstract read
In one paragraph

Article in Microorganisms, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Impact ofBiology · 2023
    Review
  3. Studies on the Composition and Diversity of SeagrassPlants (Basel, Switzerland) · 2023
    Article
  4. Effect ofMicroorganisms · 2022
    Article
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

9 authors.

Shuai ShangSchool of Biological & Environmental Engineering, Binzhou University, Binzhou 256600, China.ORCID 0000-0003-4465-9758
Liangyu LiCollege of Marine Life Sciences, Ocean University of China, Qingdao 266005, China.
Zaiwang ZhangSchool of Biological & Environmental Engineering, Binzhou University, Binzhou 256600, China.
Yu ZangDepartment of Natural Resources, First Institute of Oceanography, Qingdao 266100, China.
Jun ChenCollege of Marine Life Sciences, Ocean University of China, Qingdao 266005, China.
Jun WangSchool of Biological & Environmental Engineering, Binzhou University, Binzhou 256600, China.
Tao WuSchool of Biological & Environmental Engineering, Binzhou University, Binzhou 256600, China.ORCID 0000-0003-3620-4294
Jiangbao XiaSchool of Biological & Environmental Engineering, Binzhou University, Binzhou 256600, China.
Xuexi TangCollege of Marine Life Sciences, Ocean University of China, Qingdao 266005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a typical invasive species, Spartina alterniflora is widely recognized as one of the primary threats to biodiversity in various habitats, including wetlands. Although the invasion by S. alterniflora has been managed in multiple ways, it may reappear after treatment. How S. alterniflora affects the soil microbial community in coastal wetlands during its regeneration process has not yet been clarified. Here, rhizosphere soil samples (RSPs) and bulk soil samples (SSPs) were collected in the S. alterniflora community and a high-throughput sequencing method was conducted to analyze the composition and diversity of soil microorganisms. Meanwhile, we also obtain the soil physicochemical properties. In the present study, there was no significant difference in the alpha diversity of both bacterial and fungal communities in the SSP and RSP groups. The PCoA (principal coordinate analysis) also showed that the microbial community structure did not differ significantly between the SSP and RSP groups. The results showed that except for pH, the total sulfur (TS) content, total nitrogen (TN) content, and electrical conductivity (EC) did not differ significantly (p > 0.05) between the SSP and RSP groups. The composition of the bacterial and fungal community in the rhizosphere of S. alterniflora was similar to that found in the surrounding soils. The top two dominant bacterial phyla were Proteobacteria and Desulfobacterota in the present study. Venn diagram results also support this view; most OTUs belong to the common OTUs of the two groups, and the proportion of unique OTUs is relatively small. The LEfSe (LDA effect size) analysis showed that Campylobacterota (at the phylum level) and Sulfurimonas (at the genus level) significantly increased in the RSP group, implying that the increased Sulfurimonas might play an essential role in the invasion by S. alterniflora during the under-water period. Overall, these results suggest that the bacterial and fungal communities were not significantly affected by the S. alterniflora invasion due to the short invasion time.

Indexed as

bacterial communityfungal communityintertidal wetlandsSpartina alternifloraYellow River Delta

Identifiers

PMID36144325
PMCPMC9506343

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.