Evidence map›Paper›PMID 40287775›Full record

ArticleMicrobiome2025

Soybean productivity can be enhanced by understanding rhizosphere microbiota: evidence from metagenomics analysis from diverse agroecosystems.

Honglei Ren, Huilong Hong, Bire Zha, Sobhi F Lamlom, Hongmei Qiu, Yongqiang Cao, Rujian Sun, Haorang Wang, Junkui Ma, Hengbin Zhang and 14 more

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  5. Plants (Basel, Switzerland) · 2026
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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

24 authors.

Honglei Ren *Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China. renhonglei2022@163.com.
Huilong Hong *National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Bire Zha *Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Sobhi F Lamlom *Plant Production Department, Faculty of Agriculture Saba Basha, Alexandria University, Alexandria, 21531, Egypt.
Hongmei QiuJilin Academy of Agriculture Sciences (Northeast Agricultural Research Center of China), Changchun, 130033, China.
Yongqiang CaoCrop Research Institute of Liaoning Academy of Agriculture Sciences, Shenyang, 110161, China.
Rujian SunHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, China.
Haorang WangJiangsu Xuhuai Regional Institute of Agricultural Sciences, Xuzhou, 221131, China.
Junkui MaShanxi Agricultural University/ Shanxi Academy of Agricultural Sciences, the Industrial Crop Institute, Taiyuan, 030031, China.
Hengbin ZhangXinjiang Academy of Agricultural and Reclamation Science, Shihezi, 832000, China.
Liping SunJiangxi Academy of Agricultural Sciences, Nanchang, 330200, China.
Qing YangInstitute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, China.
Changjun ZhouDaqing Branch of Heilongjiang Academy of Agricultural Sciences, Daqing, 163316, China.
Xiulin LiuSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Xueyang WangSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Chunlei ZhangSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Fengyi ZhangSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Kezhen ZhaoSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Rongqiang YuanSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.
Ahmed M Abdelghany *Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhur, 22516, Egypt.
Bixian ZhangInstitute of Biotechnology of Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China. hljsnkyzbx@163.com.
Yuhong ZhengJilin Academy of Agriculture Sciences (Northeast Agricultural Research Center of China), Changchun, 130033, China. zhengyuhong520@163.com.
Jiajun WangSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China. junjiawang@163.com.
Wencheng LuHeihe Branch Institute of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China. 13845674288@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobial communities associated with roots play a crucial role in the growth and health of plants and are constantly influenced by plant development and alterations in the soil environment. Despite extensive rhizosphere microbiome research, studies examining multi-kingdom microbial variation across large-scale agricultural gradients remain limited.

resultsThis study investigates the rhizosphere microbial communities associated with soybean across 13 diverse geographical locations in China. Using high-throughput shotgun metagenomic sequencing on the BGISEQ T7 platform with 10 GB per sample, we identified a total of 43,337 microbial species encompassing bacteria, archaea, fungi, and viruses. Our analysis revealed significant site-specific variations in microbial diversity and community composition, underscoring the influence of local environmental factors on microbial ecology. Principal coordinate analysis (PCoA) indicated distinct clustering patterns of microbial communities, reflecting the unique environmental conditions and agricultural practices of each location. Network analysis identified 556 hub microbial taxa significantly correlated with soybean yield traits, with bacteria showing the strongest associations. These key microorganisms were found to be involved in critical nutrient cycling pathways, particularly in carbon oxidation, nitrogen fixation, phosphorus solubilization, and sulfur metabolism. Our findings demonstrate the pivotal roles of specific microbial taxa in enhancing nutrient cycling, promoting plant health, and improving soybean yield, with significant positive correlations (r = 0.5, p = 0.039) between microbial diversity and seed yield.

conclusionThis study provides a comprehensive understanding of the diversity and functional potential of rhizosphere microbiota in enhancing soybean productivity. The findings underscore the importance of integrating microbial community dynamics into crop management strategies to optimize nutrient cycling, plant health, and yield. While this study identifies key microbial taxa with potential functional roles, future research should focus on isolating and validating these microorganisms for their bioremediation and biofertilization activities under field conditions. This will provide actionable insights for developing microbial-based agricultural interventions to improve crop resilience and sustainability. Video Abstract.

Indexed as

BacteriaGlycine maxMetagenomicsMicrobiotaRhizosphereSoil MicrobiologyArchaeaChinaFungiHigh-Throughput Nucleotide SequencingPlant RootsCo-occurrence networksMetagenomic sequencingRhizosphere microbiotaSoybean (Glycine max)

Identifiers

PMID40287775
PMCPMC12034204

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Registered trials

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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.