Evidence map›Paper›PMID 42045553›Full record

ArticleAdvanced biotechnology2026

The crayfish-rice coculture model contributes to regulating the soil fertility of rice fields and maintaining the stability of soil microbial community composition and function.

Dongdong Wei, Chengguang Xing, Shenzheng Zeng, Dongwei Hou, Zhixuan Deng, Xinghai Long, Hao Wang, Renjun Zhou, Lingfei Yu, Nana Shu and 5 more

Abstract read
In one paragraph

Article in Advanced biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Dongdong WeiState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Chengguang XingState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Shenzheng ZengState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Dongwei HouState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Zhixuan DengState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Xinghai LongState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Hao WangState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Renjun ZhouState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Lingfei YuState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China.
Nana ShuQianjiang Crayfish Industry Development and Promotion Center, Qianjiang, China.
Zhonghu TaoQianjiang Crayfish Industry Development and Promotion Center, Qianjiang, China.
Xi ZhouQianjiang Crayfish Industry Development and Promotion Center, Qianjiang, China.
Shaoping WengSchool of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Jianguo HeState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China. lsshjg@mail.sysu.edu.cn.
Zhijian HuangState Key Laboratory of Biocontrol, Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Agriculture and Biotechnology, Sun Yat-Sen University, Shenzhen, China. lsshzhj@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-1601-3802

Funding

Earmarked Fund for CARS-48-20; Guangxi Science and Technology Major Special Project AA23062047Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) SML2021SP203National Key Research and Development Program of China 2023YFD2401705National Key Research and Development Program of China 2024YFD2401202
6 · The paper itself

Abstract

Rice-fish coculture represents a classic sustainable agricultural paradigm; however, the microecological mechanisms underlying its capacity to maintain soil fertility and microbial community stability remain poorly understood. We conducted a 13-month field experiment comparing three cultivation systems:crayfish-rice coculture (CRCE), crayfish-waterweed coculture (CWCE), and rice monoculture (RME)-by integrating physicochemical analysis, 16S rRNA sequencing, metagenomics, microbial network analysis, and null model simulations. Our results demonstrated that coculture systems, particularly CRCE, enhanced soil fertility through carbon sequestration (total carbon: 25.0-45.0 mg/g; total organic carbon: 15.0-35.0 mg/g) and sustained redox homeostasis (consistently low oxidation-reduction potential: - 150 to - 50 mV), in stark contrast to the extreme redox fluctuations observed in RME. These stable edaphic conditions imposed deterministic selection on microbial communities (homogeneous selection contribution: 30%-50% in CRCE vs. 10%-20% in RME), shifting community assembly from stochastic drift dominance toward predictable succession. This assembly shift enriched functionally coupled keystone taxa, including iron reducers (Geobacter), sulfur oxidizers (Sulfuricurvum), and nitrifiers (Nitrospira), which formed ecological networks characterized by 98.6% positive interactions and enhanced functional gene repertoires associated with carbon, nitrogen, and sulfur biogeochemical cycles. Metagenomic analysis corroborated these findings, revealing enrichment of functional genes involved in polymer degradation, nitrification, and sulfate reduction in CRCE, supporting enhanced nutrient cycling capacity. We establish a hierarchical causal pathway in which bioturbation-induced environmental stabilization drives deterministic community assembly, which in turn promotes keystone taxon enrichment and functional integration. This framework provides a mechanistic explanation for how crayfish-rice coculture regulates soil fertility and sustains microbial community compositional and functional stability in anthropogenically designed agricultural ecosystems.

Indexed as

Community assemblyCo‑occurrence networkFunctional metagenomicsMicrobial community stabilityRice-crayfish cocultureSoil fertility

Identifiers

PMID42045553
PMCPMC13121677

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LicenceCC BY
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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.