Evidence map›Paper›PMID 39402065›Full record

ArticleScientific reports2024

Multi-omics analysis of soil microbiota and metabolites in dryland wheat fields under different tillage methods.

Fei Dong, Longxing Wang, Tianjing Xu, Qiuyan Yan, Shuangdui Yan, Feng Li, Lihao Chen, Ruifu Zhang

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 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.

  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.

Fei DongInstitute of Wheat Research, Shanxi Agricultural University, Linfen, 041000, People's Republic of China. yqyadf@163.com.
Longxing WangCollege of Resources and Environment, Shanxi Agricultural University, Taigu, 030801, People's Republic of China.
Tianjing XuCollege of Resources and Environment, Shanxi Agricultural University, Taigu, 030801, People's Republic of China.
Qiuyan YanInstitute of Wheat Research, Shanxi Agricultural University, Linfen, 041000, People's Republic of China. sxnkyyqy@163.com.
Shuangdui YanCollege of Resources and Environment, Shanxi Agricultural University, Taigu, 030801, People's Republic of China. ysdlly@126.com.
Feng LiInstitute of Wheat Research, Shanxi Agricultural University, Linfen, 041000, People's Republic of China.
Lihao ChenJiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Ruifu ZhangJiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.

Funding

Joint Funds of the National Natural Science Foundation of China U22A20609National Key Research and Development Program 2021YFD1901102-4Open Fund from the State Key Laboratory of Soil Environment and Nutrient Resources of Shanxi Province 2020002State Key Laboratory of Integrative Sustainable Dryland Agriculture (in preparation), Shanxi Agricultural University 202003-3
6 · The paper itself

Abstract

No-tillage and subsoiling can improve soil aggregate structure and realize a synergistic effect of soil carbon and nitrogen retention compared with deep tillage. This study aimed to investigate the effects of different tillage methods on the microbiome and metabolites in wheat rhizosphere. Results indicated that no significant differences in the diversity of soil bacterial and fungal communities were observed among the tillage methods. Analysis revealed that no-tillage enriched specific genera such as Cryptosporangium, Crossiella, Rhodothermaceae, Leptothrix, Stilbella, Diutina, and Pyrenochaetopsis, while subsoiling was associated with Rubrobacter, Latescibacteraceae, Nitrospira, Rokubacteriales, and Ctenomyces. Deep tillage, on the other hand, showed significant associations with Nocardia, Aeromicrobium, Sphingopyxis, Cordyceps, and Subulicystidium. Metabolomic analysis identified differential metabolites involved in various pathways, including the biosynthesis of plant secondary metabolites, ABC transporters, and starch and sucrose metabolism. Correlation analysis revealed a significant interaction between microorganisms and metabolites in wheat rhizosphere. Bacteria at the genus level exhibited greater associations with differential metabolites. In conclusion, different tillage practices can alter the composition of microbial communities and metabolites in wheat rhizosphere, and their interactions may affect soil fertility and wheat growth.

Indexed as

MicrobiotaRhizosphereSoil MicrobiologyTriticumAgricultureBacteriaFungiMetabolomeMetabolomicsMultiomicsSoilSoil16S rRNA gene sequencingDifferential metabolitesITS sequencingTillageWinter wheat

Identifiers

PMID39402065
PMCPMC11473732

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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.