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不同水稻品种根际微生物群落的多样性及其对盐碱胁迫的多样适应性反应。

Diversity of rhizosphere microbial communities in different rice varieties and their diverse adaptive responses to saline and alkaline stress.

作者信息

Zhong Yu, Chi Hai, Wu Tao, Fan Wenbo, Su Haoyu, Li Ruoyu, Jiang Wenzhu, Du Xinglin, Ma Ziming

机构信息

Jilin Provincial Engineering Laboratory of Plant Genetic Improvement, College of Plant Science, Jilin University, Changchun, China.

Key Laboratory of Inland Saline-Alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, China.

出版信息

Front Microbiol. 2025 Apr 8;16:1537846. doi: 10.3389/fmicb.2025.1537846. eCollection 2025.

DOI:10.3389/fmicb.2025.1537846
PMID:40264979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12011871/
Abstract

Rice rhizosphere microbiota plays a crucial role in crop yield and abiotic stress tolerance. However, little is known about how the composition and function of rhizosphere soil microbial communities respond to soil salinity, alkalinity, and rice variety in rice paddy ecosystems. In this study, we analyzed the composition and function of rhizosphere soil microbial communities associated with two rice varieties (Jida177 and Tongxi933) cultivated in soils with different levels of salinity-alkalinity in Northeast China using a metagenomics approach. Our results indicate that the rhizospheres of Jida177 and Tongxi933 rice varieties harbor distinct microbial communities, and these microbial communities are differentiated based on both soil salinity-alkalinity and rice varieties. Furthermore, the observed differences in rice yield and grain quality between the Jida177 and Tongxi933 rice varieties suggest that these changes may be attributed to alterations in the rhizosphere microbiome under varying salinity conditions. These findings may pave the way for more efficient soil management and deeper understanding of the potential effects of soil salinization on the rice rhizosphere system.

摘要

水稻根际微生物群落在作物产量和非生物胁迫耐受性方面发挥着关键作用。然而,关于稻田生态系统中根际土壤微生物群落的组成和功能如何响应土壤盐度、碱度和水稻品种,我们所知甚少。在本研究中,我们采用宏基因组学方法分析了中国东北地区在不同盐碱化程度土壤中种植的两个水稻品种(吉大177和通系933)根际土壤微生物群落的组成和功能。我们的结果表明,吉大177和通系933水稻品种的根际拥有不同的微生物群落,并且这些微生物群落基于土壤盐碱度和水稻品种而有所差异。此外,吉大177和通系933水稻品种在产量和籽粒品质上的差异表明,这些变化可能归因于不同盐度条件下根际微生物组的改变。这些发现可能为更有效的土壤管理以及深入了解土壤盐渍化对水稻根际系统的潜在影响铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/bcf596f7654b/fmicb-16-1537846-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/0c09f705f667/fmicb-16-1537846-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/a2c51cf0f5f8/fmicb-16-1537846-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/1303a7f1e319/fmicb-16-1537846-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/bcf596f7654b/fmicb-16-1537846-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/0c09f705f667/fmicb-16-1537846-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/a2c51cf0f5f8/fmicb-16-1537846-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/1303a7f1e319/fmicb-16-1537846-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2e/12011871/bcf596f7654b/fmicb-16-1537846-g004.jpg

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本文引用的文献

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Int J Mol Sci. 2024 Jun 21;25(13):6845. doi: 10.3390/ijms25136845.
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Understanding AP2/ERF Transcription Factor Responses and Tolerance to Various Abiotic Stresses in Plants: A Comprehensive Review.理解 AP2/ERF 转录因子对植物各种非生物胁迫的响应和耐受机制:全面综述。
Int J Mol Sci. 2024 Jan 11;25(2):893. doi: 10.3390/ijms25020893.
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Effects of Salt Stress on Grain Yield and Quality Parameters in Rice Cultivars with Differing Salt Tolerance.
盐胁迫对不同耐盐性水稻品种籽粒产量和品质参数的影响
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MicroRNA: A Dynamic Player from Signalling to Abiotic Tolerance in Plants.MicroRNA:植物信号到非生物胁迫耐受中的动态参与者。
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Higher pH is associated with enhanced co-occurrence network complexity, stability and nutrient cycling functions in the rice rhizosphere microbiome.较高的 pH 值与增强的水稻根际微生物组共现网络复杂性、稳定性和养分循环功能有关。
Environ Microbiol. 2022 Dec;24(12):6200-6219. doi: 10.1111/1462-2920.16185. Epub 2022 Oct 31.
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Exploring the core microbiota in scented rice (Oryza sativa L.) rhizosphere through metagenomics approach.通过宏基因组学方法探究香稻(Oryza sativa L.)根际核心微生物群。
Microbiol Res. 2022 Oct;263:127157. doi: 10.1016/j.micres.2022.127157. Epub 2022 Aug 3.
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