Evidence map›Paper›PMID 38147271›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2024

Different microbial communities in paddy soils under organic and nonorganic farming.

Jimmy Kuo, Daniel Liu, Wei Hao Wen, Ching Yuan Chiu, Wanyu Chen, Yun Wen Wu, Fang-Ting Lai, Chorng-Horng Lin

Open access · greenAbstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2024. 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
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Jimmy KuoDepartment of Planning and Research, National Museum of Marine Biology and Aquarium, Pingtung, 94450, Taiwan.
Daniel LiuDepartment of Biomedical Sciences, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan.
Wei Hao WenDepartment of Biomedical Sciences, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan.
Ching Yuan ChiuDepartment of Bioresources, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan.
Wanyu ChenDepartment of Bioresources, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan.
Yun Wen WuDepartment of Bioresources, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan.
Fang-Ting LaiDepartment of Medicinal Botanicals and Foods On Health Applications, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan.
Chorng-Horng LinDepartment of Biomedical Sciences, Da-Yeh University, 168 University Road, Dacun, Changhua, 51591, Taiwan. clin@mail.dyu.edu.tw.ORCID http://orcid.org/0000-0003-4647-1687
Dayeh University · TWNational Dong Hwa University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic agriculture is a farming method that provides healthy food and is friendly to the environment, and it is developing rapidly worldwide. This study compared microbial communities in organic farming (Or) paddy fields to those in nonorganic farming (Nr) paddy fields based on 16S rDNA sequencing and analysis. The predominant microorganisms in both soils were Proteobacteria, Chloroflexi, Acidobacteria, Actinobacteria, and Nitrospirota. The alpha diversity of the paddy soil microbial communities was not different between the nonorganic and organic farming systems. The beta diversity of nonmetric multidimensional scaling (NMDS) revealed that the two groups were significantly separated. Distance-based redundancy analysis (db-RDA) suggested that soil pH and electrical conductivity (EC) had a positive relationship with the microbes in organic paddy soils. There were 23 amplicon sequence variants (ASVs) that showed differential abundance. Among them, g_B1-7BS (Proteobacteria), s_Sulfuricaulis limicola (Proteobacteria), g_GAL15 (p_GAL15), c_Thermodesulfovibrionia (Nitrospirota), two of f_Anaerolineaceae (Chloroflexi), and two of g_S085 (Chloroflexi) showed that they were more abundant in organic soils, whereas g_11-24 (Acidobacteriota), g__Subgroup_7 (Acidobacteriota), and g_Bacillus (Firmicutes) showed differential abundance in nonorganic paddy soils. Functional prediction of microbial communities in paddy soils showed that functions related to carbohydrate metabolism could be the major metabolic activities. Our work indicates that organic farming differs from nonorganic farming in terms of microbial composition in paddy soils and provides specific microbes that might be helpful for understanding soil fertility.

Indexed as

ActinobacteriaMicrobiotaOryzaAgricultureBacteriaRNA, Ribosomal, 16SSoilSoil MicrobiologyRNA, Ribosomal, 16SSoil16S rDNAMicrobial communityOrganic agricultureRice field

Identifiers

PMID38147271
PMCPMC10920611
OpenAlexW4390230099

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.