Microbial species pool-mediated diazotrophic community assembly in crop microbiomes during plant development.

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2024-04-16 Epub Date: 2024-03-19 DOI:10.1128/msystems.01055-23
Chao Xiong, Brajesh K Singh, Yong-Guan Zhu, Hang-Wei Hu, Pei-Pei Li, Yan-Lai Han, Li-Li Han, Qin-Bing Zhang, Jun-Tao Wang, Si-Yi Liu, Chuan-Fa Wu, An-Hui Ge, Li-Mei Zhang, Ji-Zheng He
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引用次数: 0

Abstract

Plant-associated diazotrophs strongly relate to plant nitrogen (N) supply and growth. However, our knowledge of diazotrophic community assembly and microbial N metabolism in plant microbiomes is largely limited. Here we examined the assembly and temporal dynamics of diazotrophic communities across multiple compartments (soils, epiphytic and endophytic niches of root and leaf, and grain) of three cereal crops (maize, wheat, and barley) and identified the potential N-cycling pathways in phylloplane microbiomes. Our results demonstrated that the microbial species pool, influenced by site-specific environmental factors (e.g., edaphic factors), had a stronger effect than host selection (i.e., plant species and developmental stage) in shaping diazotrophic communities across the soil-plant continuum. Crop diazotrophic communities were dominated by a few taxa (~0.7% of diazotrophic phylotypes) which were mainly affiliated with Methylobacterium, Azospirillum, Bradyrhizobium, and Rhizobium. Furthermore, eight dominant taxa belonging to Azospirillum and Methylobacterium were identified as keystone diazotrophic taxa for three crops and were potentially associated with microbial network stability and crop yields. Metagenomic binning recovered 58 metagenome-assembled genomes (MAGs) from the phylloplane, and the majority of them were identified as novel species (37 MAGs) and harbored genes potentially related to multiple N metabolism processes (e.g., nitrate reduction). Notably, for the first time, a high-quality MAG harboring genes involved in the complete denitrification process was recovered in the phylloplane and showed high identity to Pseudomonas mendocina. Overall, these findings significantly expand our understanding of ecological drivers of crop diazotrophs and provide new insights into the potential microbial N metabolism in the phyllosphere.IMPORTANCEPlants harbor diverse nitrogen-fixing microorganisms (i.e., diazotrophic communities) in both belowground and aboveground tissues, which play a vital role in plant nitrogen supply and growth promotion. Understanding the assembly and temporal dynamics of crop diazotrophic communities is a prerequisite for harnessing them to promote plant growth. In this study, we show that the site-specific microbial species pool largely shapes the structure of diazotrophic communities in the leaves and roots of three cereal crops. We further identify keystone diazotrophic taxa in crop microbiomes and characterize potential microbial N metabolism pathways in the phyllosphere, which provides essential information for developing microbiome-based tools in future sustainable agricultural production.

植物生长过程中农作物微生物群落中微生物物种池介导的重氮群落组装
植物相关重氮营养体与植物的氮(N)供应和生长密切相关。然而,我们对植物微生物群落中重氮营养群落的组成和微生物氮代谢的了解非常有限。在这里,我们研究了三种谷类作物(玉米、小麦和大麦)多个区系(土壤、根和叶的附生和内生壁龛以及谷粒)中重氮营养群落的组装和时间动态,并确定了植物体微生物组中潜在的氮循环途径。我们的研究结果表明,在整个土壤-植物连续体的重氮营养群落形成过程中,微生物物种库受特定地点环境因素(如气候因素)的影响比宿主选择(即植物物种和发育阶段)的影响更大。农作物重氮营养群落由少数几个类群(约占重氮营养系统型的 0.7%)占据主导地位,这些类群主要隶属于甲基细菌、氮青霉、巴西根瘤菌和根瘤菌。此外,隶属于Azospirillum和Methylobacterium的8个优势类群被确定为三种作物的关键重氮营养类群,它们可能与微生物网络的稳定性和作物产量有关。元基因组分选从植株叶面中回收了 58 个元基因组组装基因组(MAGs),其中大多数被鉴定为新物种(37 个 MAGs),并携带可能与多种氮代谢过程(如硝酸盐还原)有关的基因。值得注意的是,首次在藻体中发现了一种高质量的 MAG,其携带的基因参与了整个反硝化过程,并与门冬假单胞杆菌(Pseudomonas mendocina)具有高度的同一性。总之,这些发现极大地扩展了我们对作物重氮营养体生态驱动因素的理解,并为植物体中潜在的微生物氮代谢提供了新的见解。了解作物重氮群落的组成和时间动态是利用它们促进植物生长的前提条件。在本研究中,我们发现特定地点的微生物物种库在很大程度上决定了三种谷类作物叶片和根部重氮群落的结构。我们进一步确定了作物微生物群落中的关键重氮营养类群,并描述了叶球中潜在的微生物氮代谢途径,这为在未来可持续农业生产中开发基于微生物组的工具提供了重要信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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