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      Disease-induced changes in plant microbiome assembly and functional adaptation

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          Abstract

          Background

          The plant microbiome is an integral part of the host and increasingly recognized as playing fundamental roles in plant growth and health. Increasing evidence indicates that plant rhizosphere recruits beneficial microbes to the plant to suppress soil-borne pathogens. However, the ecological processes that govern plant microbiome assembly and functions in the below- and aboveground compartments under pathogen invasion are not fully understood. Here, we studied the bacterial and fungal communities associated with 12 compartments (e.g., soils, roots, stems, and fruits) of chili pepper ( Capsicum annuum L.) using amplicons (16S and ITS) and metagenomics approaches at the main pepper production sites in China and investigated how Fusarium wilt disease (FWD) affects the assembly, co-occurrence patterns, and ecological functions of plant-associated microbiomes.

          Results

          The amplicon data analyses revealed that FWD affected less on the microbiome of pepper reproductive organs (fruit) than vegetative organs (root and stem), with the strongest impact on the upper stem epidermis. Fungal intra-kingdom networks were less stable and their communities were more sensitive to FWD than the bacterial communities. The analysis of microbial interkingdom network further indicated that FWD destabilized the network and induced the ecological importance of fungal taxa. Although the diseased plants were more susceptible to colonization by other pathogenic fungi, their below- and aboveground compartments can also recruit potential beneficial bacteria. Some of the beneficial bacterial taxa enriched in the diseased plants were also identified as core taxa for plant microbiomes and hub taxa in networks. On the other hand, metagenomic analysis revealed significant enrichment of several functional genes involved in detoxification, biofilm formation, and plant-microbiome signaling pathways (i.e., chemotaxis) in the diseased plants.

          Conclusions

          Together, we demonstrate that a diseased plant could recruit beneficial bacteria and mitigate the changes in reproductive organ microbiome to facilitate host or its offspring survival. The host plants may attract the beneficial microbes through the modulation of plant-microbiome signaling pathways. These findings significantly advance our understanding on plant-microbiome interactions and could provide fundamental and important data for harnessing the plant microbiome in sustainable agriculture.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40168-021-01138-2.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Cytoscape: a software environment for integrated models of biomolecular interaction networks.

              Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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                Author and article information

                Contributors
                cail@im.ac.cn
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                15 September 2021
                15 September 2021
                2021
                : 9
                : 187
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Mycology, Institute of Microbiology, , Chinese Academy of Sciences, ; Beijing, 100101 China
                [2 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, College of Life Sciences, , University of Chinese Academy of Sciences, ; Beijing, 100049 China
                [3 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, , Chinese Academy of Sciences, ; 100085 Beijing, China
                [4 ]GRID grid.467063.0, ISNI 0000 0004 0397 4222, Department of Pathology, , Sidra Medicine, ; Doha, Qatar
                [5 ]GRID grid.416973.e, ISNI 0000 0004 0582 4340, Department of Pathology and Laboratory Medicine, , Weill Cornell Medicine-Qatar, ; Doha, Qatar
                [6 ]GRID grid.17091.3e, ISNI 0000 0001 2288 9830, Division of Infectious Diseases, Faculty of Medicine, , University of British Columbia, ; Vancouver, BC Canada
                [7 ]Pepper Research Institute, Guizhou Provincial Academy of Agricultural Sciences, 550009 Guiyang, China
                Author information
                http://orcid.org/0000-0002-8131-7274
                Article
                1138
                10.1186/s40168-021-01138-2
                8444440
                34526096
                7e700c0a-2982-43fe-8a5d-31dc15040995
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 7 May 2021
                : 27 July 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31725001
                Award Recipient :
                Funded by: program for engineering laboratory of chinese academy of sciences
                Award ID: KFJ-PTXM-016
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                fusarium wilt disease,compartment,microbiome assembly,microbial network,beneficial microbe,metagenomics,chili pepper

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