Evidence map›Paper›PMID 39572617›Full record

ArticleScientific reports2024

Evaluation of the microbial community in various saline alkaline-soils driven by soil factors of the Hetao Plain, Inner Mongolia.

Xiao-Yu Zhao, Ju-Lin Gao, Xiao-Fang Yu, Qing-Geer Borjigin, Jiawei Qu, Bi-Zhou Zhang, Sai-Nan Zhang, Qiang Li, Jiang-An Guo, Dong-Bo Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

9 citing papers in PubMed.

  1. Effects of Foliar-Applied PAA@MnPlants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors.

Xiao-Yu ZhaoInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China.
Ju-Lin GaoInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China. nmgaojulin@imau.edu.cn.
Xiao-Fang YuInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China. nmyuxiaofang@imau.edu.cn.
Qing-Geer BorjiginInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China.
Jiawei QuInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China.
Bi-Zhou ZhangInstitute of Maize Research, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Huhehaote, China.
Sai-Nan ZhangInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China.
Qiang LiInstitute of Maize Research, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Huhehaote, China.
Jiang-An GuoInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China.
Dong-Bo LiInner Mongolia Autonomous Region Engineering Research Center for In-Situ Maize Stalk Returning Microbiology, Inner Mongolia Agricultural University, Huhehaote, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbial communities play a crucial role in maintaining diverse ecosystem functions within the saline-alkali soil ecosystems. Therefore, in this study, we collected various saline-alkaline soils from across the Inner Mongolia Hetao irrigation area. The soil chemical properties were analyzed, and the microbial diversity of bacteria and fungi was measured using 16 S rRNA and ITS rRNA amplicon sequencing. The dynamic relationship between the soil microbial community and soil factors was analyzed using the ABT (Aggregate Enhanced tree) model, the co-occurrence network, and the structural equation model. The results indicated that electrical conductivity (EC) was the biggest driving force of various saline-alkaline soils, affecting the community structure of bacteria (22.80%) and fungi (21.30%). The soil samples were categorized into three treatment levels based on their EC values: the low-salinity group (L, EC: 0-1 ms/cm, n = 10), the medium-salinity group (M, EC: 1-2 ms/cm, n = 8), and the high-salinity group (H, EC > 2 ms/cm, n = 6). The results demonstrated a negative correlation between microbial abundance and salinity-alkalinity, while revealing an enhanced interrelationship among species. The alterations in bacterial (12.36%) and fungal (22.92%) communities in various saline-alkali soils were primarily driven by saline-alkali ions, which served as the principal direct factors. The negative correlation between EC and SOM exhibited the highest magnitude, whereas the positive correlation between soil organic carbon and EC demonstrated the greatest strength. Therefore, it was further substantiated that EC played a pivotal role in shaping the distinct microbial communities in saline-alkali soils.

Indexed as

BacteriaFungiMicrobiotaSalinitySoilSoil MicrobiologyAlkaliesBiodiversityChinaEcosystemElectric ConductivityHydrogen-Ion ConcentrationRNA, Ribosomal, 16SAlkaliesRNA, Ribosomal, 16SSoilBacterial diversityElectrical conductivityFungal diversityHetao PlainKey microbial groupsSaline-alkali soi

Identifiers

PMID39572617
PMCPMC11582701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.