Evidence map›Paper›PMID 39348371›Full record

ArticlePloS one2024

Diversity and community distribution of soil bacterial in the Yellow River irrigation area of Ningxia, China.

Xia Wu, Jinjun Cai, Zhangjun Wang, Weiqian Li, Gang Chen, Yangyang Bai

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xia WuInstitute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, China.
Jinjun CaiInstitute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, China.ORCID 0009-0008-3548-9586
Zhangjun WangInstitute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, China.
Weiqian LiInstitute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, China.
Gang ChenInstitute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, China.
Yangyang BaiInstitute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bacterial community performs an essential ecological role in maintaining agriculture systems. The roles of bacteria in the forest, marine, and agricultural systems have been studied extensively and intensively. However, similar studies in the areas irrigated by the Yellow River remain limited. In this study, we used Illumina sequencing analysis with the 16S rRNA method to analyze the bacterial diversity, community structure, and influencing factors in soil samples from eight regions of the Yellow River irrigation area in northwestern China. The bacterial community structure and diversity varied among samples from the eight regions. The samples differed significantly in terms of the bacterial community composition. Proteobacteria (approximately 12.4%-55.7%) accounted for the largest proportion and was the dominant bacteria, followed by Actinobacteria (approximately 9.2%-39.7%), Bacteroidetes (approximately 1.8%-21.5%), and Chloroflexi (approximately 2.7%-12.6%). Among the physicochemical variables, the soil pH in the eight regions was mildly alkaline, and the total nitrogen, total phosphorus, and total potassium contents in the soils differed significantly. However, the trend in the variations of the above variables was essentially similar. Soil bacteria in Yongning county had greater Chao1, Shannon-Wiener, and Simpson indices than those in the other regions. Notably, soil moisture, organic matter, and total nitrogen were recognized as the primary factors influencing the bacterial community in the Yellow River irrigation area. Our results revealed the laws of variation in soil bacterial diversity and community composition in the Yellow River irrigation area. Our findings could be beneficial for maintaining sustainable ecological practices in the Yellow River irrigation area.

Indexed as

BacteriaRiversRNA, Ribosomal, 16SSoil MicrobiologyAgricultural IrrigationBiodiversityChinaPhylogenySoilRNA, Ribosomal, 16SSoil

Identifiers

PMID39348371
PMCPMC11441701

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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.