Evidence map›Paper›PMID 37917788›Full record

ArticlePloS one2023

Soil microbiome analysis reveals effects of periodic waterlogging stress on sugarcane growth.

Onnicha Leelastwattanagul, Sawannee Sutheeworapong, Ahmad Nuruddin Khoiri, Sudarat Dulsawat, Songsak Wattanachaisaereekul, Anuwat Tachaleat, Thanawat Duangfoo, Prasobsook Paenkaew, Peerada Prommeenate, Supapon Cheevadhanarak and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Onnicha LeelastwattanagulPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Sawannee SutheeworapongPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Ahmad Nuruddin KhoiriBioinformatics and Systems Biology Program, School of Bioresources and Technology and School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.ORCID 0000-0003-2883-4149
Sudarat DulsawatPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Songsak WattanachaisaereekulPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Anuwat TachaleatPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Thanawat DuangfooPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Prasobsook PaenkaewPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Peerada PrommeenateBiochemical Engineering and Systems Biology Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency at King Mongkut's University of Technology Thonburi, Bangkok, Thailand.ORCID 0000-0003-0421-0243
Supapon CheevadhanarakPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Jiraporn JirakkakulPilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.ORCID 0000-0003-3066-4222
King Mongkut's University of Technology Thonburi · THNational Science and Technology Development Agency · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane is one of the major agricultural crops with high economic importance in Thailand. Periodic waterlogging has a long-term negative effect on sugarcane development, soil properties, and microbial diversity, impacting overall sugarcane production. Yet, the microbial structure in periodically waterlogged sugarcane fields across soil compartments and growth stages in Thailand has not been documented. This study investigated soil and rhizosphere microbial communities in a periodic waterlogged field in comparison with a normal field in a sugarcane plantation in Ratchaburi, Thailand, using 16S rRNA and ITS amplicon sequencing. Alpha diversity analysis revealed comparable values in periodic waterlogged and normal fields across all growth stages, while beta diversity analysis highlighted distinct microbial community profiles in both fields throughout the growth stages. In the periodic waterlogged field, the relative abundance of Chloroflexi, Actinobacteria, and Basidiomycota increased, while Acidobacteria and Ascomycota decreased. Beneficial microbes such as Arthrobacter, Azoarcus, Bacillus, Paenibacillus, Pseudomonas, and Streptomyces thrived in the normal field, potentially serving as biomarkers for favorable soil conditions. Conversely, phytopathogens and growth-inhibiting bacteria were prevalent in the periodic waterlogged field, indicating unfavorable conditions. The co-occurrence network in rhizosphere of the normal field had the highest complexity, implying increased sharing of resources among microorganisms and enhanced soil biological fertility. Altogether, this study demonstrated that the periodic waterlogged field had a long-term negative effect on the soil microbial community which is a key determining factor of sugarcane growth.

Indexed as

MicrobiotaSaccharumBacteriaEdible GrainRhizosphereRNA, Ribosomal, 16SSoilSoil MicrobiologyThailandRNA, Ribosomal, 16SSoil

Identifiers

PMID37917788
PMCPMC10621937
OpenAlexW4388214504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.