洞察多巴胺在根瘤微生物组组合中的作用

Yezhang Ding, Hunter K. Vogel, Yi Zhai, Hans K. Carlson, Peter F. Andeer, Vlastimil Novak, Nakian Kim, Benjamin P. Bowen, Amber N. Golini, Suzanne M. Kosina, Devin Coleman-Derr, John P. Vogel, Trent R. Northen
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引用次数: 0

摘要

多巴胺在动物生理以及与肠道微生物的相互作用中发挥着至关重要的作用。在植物中,多巴胺在植物防御和非生物胁迫耐受方面发挥着已知的作用;然而,它在介导植物与微生物组相互作用方面的作用仍有待探索。在这项研究中,我们观察到多巴胺是大戟科植物根系渗出物中最丰富的外代谢物之一,而且在不同的大戟科植物根系渗出物中存在自然差异,这表明多巴胺在根圈微生物组合中可能发挥作用。为了进一步研究这一点,我们用 16 个成员的细菌合成群落(SynCom)定殖了 10 个天然的大叶女贞(B. distachyon)品系,收集了成对的代谢组学和 16S rRNA 测序数据,并进行了关联分析。我们的研究结果表明,在水培系统中,根系渗出物中的多巴胺水平与 6 个 SynCom 成员的丰度有显著关联。体外生长研究表明,多巴胺对这六种细菌分离物的生长有显著影响。此外,直接用多巴胺处理土壤会使放线菌富集,这与 SynCom 与多巴胺的相关性和分离菌的生长结果一致。总之,我们的研究强调了多巴胺对根瘤菌群落的选择性影响,对微生物组的精准管理具有重要意义。
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Insights into the role of dopamine in rhizosphere microbiome assembly
Dopamine plays a critical role in animal physiology and interactions with gut microbes. In plants, dopamine is known to function in plant defense and abiotic stress tolerance; however, its role in mediating plant-microbiome interactions remains unexplored. In this study, we observed that dopamine is one of the most abundant exometabolites with natural variation in root exudates across diverse Brachypodium distachyon lines, suggesting a potential role in rhizosphere microbial assembly. To further investigate this, we colonized ten natural B. distachyon lines with a 16-member bacterial synthetic community (SynCom), collected paired metabolomic and 16S rRNA sequencing data, and performed an association analysis. Our results revealed that dopamine levels in root exudates were significantly associated with the abundance of six SynCom members in a hydroponic system. In vitro growth studies demonstrated that dopamine had a significant effect on the growth of the same six bacterial isolates. Additionally, treating soil directly with dopamine enriched Actinobacteria, consistent with both the SynCom-dopamine correlations and the isolate growth results. Collectively, our study underscores the selective influence of dopamine on rhizosphere microbial communities, with implications for precision microbiome management.
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