Evidence map›Paper›PMID 41249586›Full record

ArticleMicrobial ecology2025

Community Assembly Mechanisms Underlying Divergent Responses of Indica and Japonica Rice Rhizosphere Microbiota to Drought Stress.

Sihan Zhou, Junguo Bi, Sheng Zhou, Lijun Luo, Xiaoyuan Yan, Jianwen Zou, Yanhan Ji, Shuai Zhao, Jingrui Qiu, Zhaojing Liu and 3 more

Abstract read
In one paragraph

Article in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Sihan Zhou *Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Junguo Bi *Shanghai Agrobiological Gene Center, No. 2901 Beidi Road, Shanghai, 201106, China.
Sheng ZhouEco-Environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China.
Lijun LuoShanghai Agrobiological Gene Center, No. 2901 Beidi Road, Shanghai, 201106, China.
Xiaoyuan YanState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Jianwen ZouKey Laboratory of Low-Carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
Yanhan JiDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Shuai ZhaoState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China.
Jingrui QiuDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Zhaojing LiuDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Jiandong JiangDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Baozhan WangDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Xu LiuDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China. xliu@njau.edu.cn.

Funding

Fundamental Research Funds for the Central Universities XUEKEN2022003Jiangsu Funding Program for Excellent Postdoctoral Talent 2024ZB624National Key Research and Development Program of China 2022YFD2300302National Natural Science Foundation of China 42277304National Natural Science Foundation of China 42407399National Postdoctoral Program for Innovative Talents BX20240168Natural Science Foundation of Jiangsu Province BK20241558
6 · The paper itself

Abstract

Drought stress markedly reduces rice yield, with notable genotypic variation in drought tolerance. While the rhizosphere microbiome is regarded as the second genome of plants, how the indica and japonica rice rhizosphere microbial communities respond to deficit irrigation and their relationship with yield remain to be elucidated. Here, we conducted field experiments using 12 indica and 12 japonica rice varieties under full and deficit irrigation regimes. Yield-related traits, including filled grain number, seed setting rate, two-plant yield, and thousand grain weight, were measured, and the rhizosphere microbial communities were characterized by 16S rRNA gene sequencing. In line with previous studies, japonica varieties showed superior drought resistance in terms of yield performance. Both rice genotype and irrigation regime significantly influenced the composition and functional potential of the rhizosphere microbiome. Compared to indica rice, the japonica rice rhizosphere was enriched with more beneficial microorganisms. Enrichment of nitrogen‑metabolism‑related groups, such as Microvirga and Nitrososphaeraceae, may contribute to rhizosphere nitrogen cycling and support nitrogen availability for the rice. Similarly, higher abundance of Streptomyces in japonica varieties under drought conditions may be associated with improved drought tolerance. These microbial genera were closely associated with rice yield. Moreover, the japonica rhizosphere microbiome was less disturbed by water limitation, showing higher stability. Overall, the rhizosphere microbiome of japonica rice exhibited functional optimization under drought stress by promoting the enrichment of beneficial and nitrogen-cycling microbes, thereby enhancing drought resistance and yield stability. This study demonstrated a significant correlation between rhizosphere microbial communities and rice yield, providing fundamental insights that may contribute to future strategies for optimizing crop productivity through microbiome management in sustainable agriculture.

Indexed as

BacteriaDroughtsMicrobiotaOryzaRhizosphereSoil MicrobiologyAgricultural IrrigationRNA, Ribosomal, 16SStress, PhysiologicalRNA, Ribosomal, 16SDeficit irrigationNitrogen cyclingProkaryotesRice yield

Identifiers

PMID41249586
PMCPMC12628412

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.