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日本列岛各地与作物病害状况相关的土壤原核生物和真菌生物群落结构。

Soil prokaryotic and fungal biome structures associated with crop disease status across the Japan Archipelago.

作者信息

Fujita Hiroaki, Yoshida Shigenobu, Suzuki Kenta, Toju Hirokazu

机构信息

Center for Ecological Research, Kyoto University, Otsu, Shiga, Japan.

Institute for Plant Protection, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.

出版信息

mSphere. 2024 Apr 23;9(4):e0080323. doi: 10.1128/msphere.00803-23. Epub 2024 Apr 3.

Abstract

Archaea, bacteria, and fungi in the soil are increasingly recognized as determinants of agricultural productivity and sustainability. A crucial step for exploring soil microbiomes with important ecosystem functions is to perform statistical analyses on the potential relationship between microbiome structure and functions based on comparisons of hundreds or thousands of environmental samples collected across broad geographic ranges. In this study, we integrated agricultural field metadata with microbial community analyses by targeting 2,903 bulk soil samples collected along a latitudinal gradient from cool-temperate to subtropical regions in Japan (26.1-42.8 °N). The data involving 632 archaeal, 26,868 bacterial, and 4,889 fungal operational taxonomic units detected across the fields of 19 crop plant species allowed us to conduct statistical analyses (permutational analyses of variance, generalized linear mixed models, randomization analyses, and network analyses) on the relationship among edaphic factors, microbiome compositions, and crop disease prevalence. We then examined whether the diverse microbes form species sets varying in potential ecological impacts on crop plants. A network analysis suggested that the observed prokaryotes and fungi were classified into several species sets (network modules), which differed substantially in association with crop disease prevalence. Within the network of microbe-to-microbe coexistence, ecologically diverse microbes, such as an ammonium-oxidizing archaeon, an antibiotics-producing bacterium, and a potentially mycoparasitic fungus, were inferred to play key roles in shifts between crop-disease-promotive and crop-disease-suppressive states of soil microbiomes. The bird's-eye view of soil microbiome structure will provide a basis for designing and managing agroecosystems with high disease-suppressive functions.IMPORTANCEUnderstanding how microbiome structure and functions are organized in soil ecosystems is one of the major challenges in both basic ecology and applied microbiology. Given the ongoing worldwide degradation of agroecosystems, building frameworks for exploring structural diversity and functional profiles of soil microbiomes is an essential task. Our study provides an overview of cropland microbiome states in light of potential crop-disease-suppressive functions. The large data set allowed us to explore highly functional species sets that may be stably managed in agroecosystems. Furthermore, an analysis of network architecture highlighted species that are potentially used to cause shifts from disease-prevalent states of agroecosystems to disease-suppressive states. By extending the approach of comparative analyses toward broader geographic ranges and diverse agricultural practices, agroecosystem with maximized biological functions will be further explored.

摘要

土壤中的古菌、细菌和真菌日益被视为农业生产力和可持续性的决定因素。探索具有重要生态系统功能的土壤微生物群落的关键一步是,基于对在广泛地理范围内收集的成百上千个环境样本的比较,对微生物群落结构与功能之间的潜在关系进行统计分析。在本研究中,我们通过对沿日本从冷温带至亚热带地区(北纬26.1 - 42.8°)的纬度梯度采集的2903份土壤样本进行靶向分析,将农田元数据与微生物群落分析相结合。涉及在19种农作物种植地检测到的632个古菌、26868个细菌和4889个真菌操作分类单元的数据,使我们能够对土壤因子、微生物群落组成和作物病害发生率之间的关系进行统计分析(方差置换分析、广义线性混合模型、随机化分析和网络分析)。然后,我们研究了不同的微生物是否形成了对作物具有不同潜在生态影响的物种集。网络分析表明,观察到的原核生物和真菌被分为几个物种集(网络模块),它们与作物病害发生率的关联存在很大差异。在微生物与微生物共存网络中,生态上不同的微生物,如一种氨氧化古菌、一种产生抗生素的细菌和一种潜在的真菌寄生菌,被推断在土壤微生物群落从促进作物病害状态向抑制作物病害状态的转变中起关键作用。对土壤微生物群落结构的全面了解将为设计和管理具有高病害抑制功能的农业生态系统提供基础。

重要性

了解微生物群落在土壤生态系统中的结构和功能组织方式是基础生态学和应用微生物学面临的主要挑战之一。鉴于全球范围内农业生态系统的持续退化,构建探索土壤微生物群落结构多样性和功能概况的框架是一项重要任务。我们的研究根据潜在的作物病害抑制功能概述了农田微生物群落状态。庞大的数据集使我们能够探索在农业生态系统中可能得到稳定管理的高功能物种集。此外;对网络结构的分析突出了可能用于使农业生态系统从病害流行状态转变为病害抑制状态的物种。通过将比较分析方法扩展到更广泛的地理范围和不同的农业实践中,将进一步探索具有最大化生物功能的农业生态系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f31a/11036807/5af9d462d7b2/msphere.00803-23.f001.jpg

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