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基于谷物和其他草本植物内生真菌分区的特征差异。

Distinct Features Based on Partitioning of the Endophytic Fungi of Cereals and Other Grasses.

机构信息

School of Life Sciences, Hebei University, Baoding, Hebei, China.

School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel.

出版信息

Microbiol Spectr. 2023 Jun 15;11(3):e0061123. doi: 10.1128/spectrum.00611-23. Epub 2023 May 11.

DOI:10.1128/spectrum.00611-23
PMID:37166321
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10269846/
Abstract

Endophytic fungi form a significant part of the plant mycobiome. Defining core members is crucial to understanding the assembly mechanism of fungal endophytic communities (FECs) and identifying functionally important community members. We conducted a meta-analysis of FECs in stems of wheat and five wild cereal species and generated a landscape of the fungal endophytic assemblages in this group of plants. The analysis revealed that several Ascomycota members and basidiomycetous yeasts formed an important compartment of the FECs in these plants. We observed a weak spatial autocorrelation at the regional scale and high intrahost variations in the FECs, suggesting a space-related heterogeneity. Accordingly, we propose that the heterogeneity among subcommunities should be a criterion to define the core endophytic members. Analysis of the subcommunities and meta-communities showed that the core and noncore members had distinct roles in various assembly processes, such as stochasticity, universal dynamics, and network characteristics, within each host. The distinct features identified between the community partitions of endophytes aid in understanding the principles that govern the assembly and function of natural communities. These findings can assist in designing synthetic microbiomes. This study proposes a novel method for diagnosing core microbiotas based on prevalence of community members in a meta-community, which could be determined and supported statistically. Using this approach, the study found stratification in community assembly processes within fungal endophyte communities (FECs) in the stems of wheat and cereal-related wild species. The core and noncore partitions of the FECs exhibited certain degrees of determinism from different aspects. Further analysis revealed abundant and consistent interactions between rare taxa, which might contribute to the determinism process in noncore partitions. Despite minor differences in FEC compositions, wheat FECs showed distinct patterns in community assembly processes compared to wild species, suggesting the effects of domestication on FECs. Overall, our study provided a new approach for identifying core microbiota and provides insights into the community assembly processes within FECs in wheat and related wild species.

摘要

内生真菌是植物菌根的重要组成部分。定义核心成员对于理解真菌内生群落(FEC)的组装机制和识别功能重要的群落成员至关重要。我们对小麦和五种野生禾本科植物茎内的 FEC 进行了荟萃分析,并生成了该植物类群中真菌内生群落的图谱。分析表明,一些子囊菌和担子菌酵母是这些植物内生真菌群落的重要组成部分。我们观察到在区域尺度上存在较弱的空间自相关和 FEC 内的高宿主内变异,表明存在与空间相关的异质性。因此,我们提出亚群落间的异质性应该是定义核心内生成员的标准。对亚群落和元群落的分析表明,核心和非核心成员在每个宿主内的各种组装过程中(如随机性、普遍动态和网络特征)扮演着不同的角色。内生菌群落分区之间的明显特征有助于理解支配自然群落组装和功能的原则。这些发现可以帮助设计合成微生物组。本研究提出了一种基于元群落中群落成员的普遍性来诊断核心微生物组的新方法,这种方法可以通过统计学来确定和支持。使用这种方法,本研究发现了小麦和禾本科相关野生种茎内内生真菌群落(FEC)的群落组装过程中的分层现象。FEC 的核心和非核心分区从不同方面表现出一定程度的确定性。进一步的分析揭示了稀有分类群之间丰富而一致的相互作用,这可能有助于非核心分区的确定性过程。尽管 FEC 组成存在微小差异,但与野生种相比,小麦 FEC 在群落组装过程中表现出明显不同的模式,表明驯化对 FEC 的影响。总体而言,我们的研究为识别核心微生物组提供了一种新方法,并深入了解了小麦和相关野生种内生真菌群落内的群落组装过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/cfa3ea25b57d/spectrum.00611-23-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/4575e20010e6/spectrum.00611-23-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/ab8a91d69938/spectrum.00611-23-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/9c0b297ef847/spectrum.00611-23-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/1cd3133470bf/spectrum.00611-23-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/cfa3ea25b57d/spectrum.00611-23-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/4575e20010e6/spectrum.00611-23-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/ab8a91d69938/spectrum.00611-23-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/9c0b297ef847/spectrum.00611-23-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/1cd3133470bf/spectrum.00611-23-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0932/10269846/cfa3ea25b57d/spectrum.00611-23-f001.jpg

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