Host metabolites explain microbiome variation between different rice genotypes.

IF 12.7 1区 生物学 Q1 MICROBIOLOGY
Pin Su, Houxiang Kang, Qianze Peng, Weiye Peng, Shu'e Sun, Xiaohua Du, Chi Zhang, Ziling Lei, Lianyang Bai, Qianjun Tang, Yong Liu, Tomislav Cernava, Deyong Zhang
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Abstract

Background: Plants live in close association with microbial communities that support their health and growth. Previous research has indicated that the composition of these communities can differ between genotypes of the same plant species. Host-related factors causing this variation are mostly unknown. Microbiome genes, or M genes in short, are host genes that are involved in shaping the microbiome. We hypothesized that specific M genes are responsible for microbiome variation between rice genotypes and that it is connected to plant metabolites controlled by these genes.

Results: Our study was aimed at identifying plant metabolites driving genotype-specific microbiome assembly and establishing a link to host genetics. Targeted metabolite quantification was combined with microbiome profiling of the rice phyllosphere microbiome, association analyses on single-nucleotide polymorphism (SNP) level, and genetic modifications to validate microbiome-shaping effects of the discovered M genes. Targeted metabolite quantifications revealed that phenylpropanoid concentrations in rice leaves can substantially differ among 110 representative genotypes grown under the same, controlled conditions. Redundancy analyses (RDA) showed that these metabolites can explain 35.6% of the variance in their microbiomes. Further verification experiments resulted in the identification of two M genes. OsC4H2 and OsPAL06 are both plant genes with microbiome-shaping effects, mainly via their role in ferulic acid biosynthesis. Targeted gene mutation experiments confirm that distinct phyllosphere-associated bacterial groups are highly responsive to the discovered M genes.

Conclusion: This study provides detailed insights into the links between host genetics and microbiome variation in plants. Knowledge about host genes that are in control of the microbiome paves the way for microbiome engineering and targeted plant breeding approaches. Video Abstract.

宿主代谢物解释了不同水稻基因型之间微生物组的差异。
背景:植物与支持其健康和生长的微生物群落密切相关。先前的研究表明,这些群落的组成在同一植物物种的基因型之间可能存在差异。引起这种变异的宿主相关因素大多是未知的。微生物组基因,简称M基因,是参与塑造微生物组的宿主基因。我们假设特定的M基因负责水稻基因型之间的微生物组变异,并与这些基因控制的植物代谢物有关。结果:我们的研究旨在鉴定驱动基因型特异性微生物组组装的植物代谢物,并建立与宿主遗传的联系。将目标代谢物定量与水稻层球微生物组分析、单核苷酸多态性(SNP)水平的关联分析和遗传修饰相结合,以验证所发现的M基因的微生物组塑造作用。目标代谢物定量分析显示,在相同控制条件下生长的110个代表性基因型水稻叶片中苯丙素浓度存在显著差异。冗余分析(RDA)表明,这些代谢物可以解释35.6%的微生物组差异。进一步的验证实验鉴定出两个M基因。OsC4H2和OsPAL06都是具有微生物组塑造作用的植物基因,主要通过其在阿魏酸生物合成中的作用。靶向基因突变实验证实,不同的层球相关细菌群对发现的M基因高度敏感。结论:本研究为植物寄主遗传与微生物组变异之间的联系提供了详细的见解。了解控制微生物组的宿主基因为微生物组工程和有针对性的植物育种方法铺平了道路。视频摘要。
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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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