了解根际微生物群可以提高大豆生产力:来自不同农业生态系统宏基因组学分析的证据。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Honglei Ren, Huilong Hong, Bire Zha, Sobhi F Lamlom, Hongmei Qiu, Yongqiang Cao, Rujian Sun, Haorang Wang, Junkui Ma, Hengbin Zhang, Liping Sun, Qing Yang, Changjun Zhou, Xiulin Liu, Xueyang Wang, Chunlei Zhang, Fengyi Zhang, Kezhen Zhao, Rongqiang Yuan, Ahmed M Abdelghany, Bixian Zhang, Yuhong Zheng, Jiajun Wang, Wencheng Lu
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引用次数: 0

摘要

背景:与根相关的微生物群落在植物的生长和健康中起着至关重要的作用,并不断受到植物发育和土壤环境变化的影响。尽管对根际微生物组进行了广泛的研究,但对大规模农业梯度中多领域微生物变异的研究仍然有限。结果:本研究调查了中国13个不同地理位置与大豆相关的根际微生物群落。在BGISEQ T7平台上使用高通量鸟枪宏基因组测序,每个样本10 GB,共鉴定出43,337种微生物,包括细菌,古生菌,真菌和病毒。我们的分析揭示了微生物多样性和群落组成在不同地点的显著差异,强调了当地环境因素对微生物生态的影响。主坐标分析(PCoA)显示出不同的微生物群落聚集模式,反映了每个地点独特的环境条件和农业实践。网络分析发现556个中心微生物类群与大豆产量性状显著相关,其中细菌类群相关性最强。这些关键微生物参与了关键的养分循环途径,特别是碳氧化、固氮、磷增溶和硫代谢。研究结果表明,特定微生物类群在促进养分循环、促进植物健康和提高大豆产量方面发挥着关键作用,微生物多样性与大豆种子产量呈显著正相关(r = 0.5, p = 0.039)。结论:本研究全面了解了大豆根际微生物群的多样性及其在提高大豆生产力方面的功能潜力。这些发现强调了将微生物群落动态整合到作物管理策略中以优化养分循环、植物健康和产量的重要性。虽然本研究确定了具有潜在功能作用的关键微生物类群,但未来的研究应侧重于分离和验证这些微生物在田间条件下的生物修复和生物施肥活性。这将为开发基于微生物的农业干预措施以提高作物的抗灾能力和可持续性提供可行的见解。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soybean productivity can be enhanced by understanding rhizosphere microbiota: evidence from metagenomics analysis from diverse agroecosystems.

Background: Microbial 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.

Results: This 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.

Conclusion: This 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.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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