Evidence map›Paper›PMID 37125206›Full record

ArticleFrontiers in microbiology2023

The dependent correlation between soil multifunctionality and bacterial community across different farmland soils.

Jing Liu, Zafran Gul Wazir, Guo-Qin Hou, Gui-Zhen Wang, Fang-Xu Rong, Yu-Zhi Xu, Kai Liu, Ming-Yue Li, Ai-Ju Liu, Hong-Liang Liu

Abstract read
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Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Jing LiuSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, China.
Zafran Gul WazirSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, China.
Guo-Qin HouSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, China.
Gui-Zhen WangSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, China.
Fang-Xu RongSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, China.
Yu-Zhi XuSchool of Resources and Environmental Engineering, Shandong University of Technology, Zibo, China.
Kai LiuSchool of Resources and Environmental Engineering, Shandong University of Technology, Zibo, China.
Ming-Yue LiSchool of Resources and Environmental Engineering, Shandong University of Technology, Zibo, China.
Ai-Ju LiuSchool of Resources and Environmental Engineering, Shandong University of Technology, Zibo, China.
Hong-Liang LiuSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microorganisms play a critical role in soil biogeochemical cycles, but it is still debated whether they influence soil biogeochemical processes through community composition and diversity or not. This study aims to investigate variation in bacterial community structure across different soils and its correlation to soil multifunctionality. Soil samples were collected from five typical farmland zones along distinct climatic gradients in China. Methods: The high-throughput sequencing (Illumina MiSeq) of 16S rRNA genes was employed to analyze bacterial community composition in each soil sample. Multivariate analysis was used to determine the difference in soil properties, microbial community and functioning, and their interactions. Results: Cluster and discrimination analysis indicated that bacterial community composition was similar in five tested soil samples, but bacterial richness combined with soil enzyme activities and potential nitrification rate (PNR) contributed most to the differentiations of soil samples. Mantel test analysis revealed that bacterial community composition and richness were more significantly shaped by soil nutrient conditions and edaphic variables than bacterial diversity. As for soil multifunctionality, soil microbial community level physiological profiles were little affected by abiotic and biotic factors, while soil enzymes and PNR were also significantly related to bacterial community composition and richness, in addition to soil N and P availability. Conclusion: Cumulatively, soil enzymes' activities and PNR were greatly dependent on bacterial community composition and richness not diversity, which in turn were greatly modified by soil N and P availability. Therefore, in the future it should be considered for the role of fertilization in the modification of bacterial community and the consequent control of nutrient cycling in soil.

Indexed as

bacterial communityclimatic gradientsfarmland soilsmultivariate analysissoil function

Identifiers

PMID37125206
PMCPMC10132505

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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.