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      Plant developmental stage drives the differentiation in ecological role of the maize microbiome

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          Abstract

          Background

          Plants live with diverse microbial communities which profoundly affect multiple facets of host performance, but if and how host development impacts the assembly, functions and microbial interactions of crop microbiomes are poorly understood. Here we examined both bacterial and fungal communities across soils, epiphytic and endophytic niches of leaf and root, and plastic leaf of fake plant (representing environment-originating microbes) at three developmental stages of maize at two contrasting sites, and further explored the potential function of phylloplane microbiomes based on metagenomics.

          Results

          Our results suggested that plant developmental stage had a much stronger influence on the microbial diversity, composition and interkingdom networks in plant compartments than in soils, with the strongest effect in the phylloplane. Phylloplane microbiomes were co-shaped by both plant growth and seasonal environmental factors, with the air (represented by fake plants) as its important source. Further, we found that bacterial communities in plant compartments were more strongly driven by deterministic processes at the early stage but a similar pattern was for fungal communities at the late stage. Moreover, bacterial taxa played a more important role in microbial interkingdom network and crop yield prediction at the early stage, while fungal taxa did so at the late stage. Metagenomic analyses further indicated that phylloplane microbiomes possessed higher functional diversity at the early stage than the late stage, with functional genes related to nutrient provision enriched at the early stage and N assimilation and C degradation enriched at the late stage. Coincidently, more abundant beneficial bacterial taxa like Actinobacteria, Burkholderiaceae and Rhizobiaceae in plant microbiomes were observed at the early stage, but more saprophytic fungi at the late stage.

          Conclusions

          Our results suggest that host developmental stage profoundly influences plant microbiome assembly and functions, and the bacterial and fungal microbiomes take a differentiated ecological role at different stages of plant development. This study provides empirical evidence for host exerting strong effect on plant microbiomes by deterministic selection during plant growth and development. These findings have implications for the development of future tools to manipulate microbiome for sustainable increase in primary productivity.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40168-021-01118-6.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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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
                zhanglm@rcees.ac.cn
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                13 August 2021
                13 August 2021
                2021
                : 9
                : 171
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, , Chinese Academy of Sciences, ; Beijing, 100085 China
                [2 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, University of Chinese Academy of Sciences, ; Beijing, 100049 China
                [3 ]GRID grid.1029.a, ISNI 0000 0000 9939 5719, Global Centre for Land-Based Innovation, , Western Sydney University, ; Penrith, NSW 2751 Australia
                [4 ]GRID grid.1029.a, ISNI 0000 0000 9939 5719, Hawkesbury Institute for the Environment, Western Sydney University, ; Penrith, NSW 2751 Australia
                [5 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Faculty of Veterinary and Agricultural Sciences, , The University of Melbourne, ; Parkville, VIC 3010 Australia
                [6 ]GRID grid.108266.b, ISNI 0000 0004 1803 0494, College of Resource and Environmental Sciences, , Henan Agricultural University, ; Zhengzhou, 450002 China
                [7 ]Soil and Fertilizer Station of Qilin District, Qujing, Yunnan Province, Qujing, 655000 China
                Article
                1118
                10.1186/s40168-021-01118-6
                8364065
                34389047
                74d6310e-0357-4736-a197-0937e84216e0
                © 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
                : 14 February 2021
                : 21 June 2021
                Funding
                Funded by: National Key R&D Program
                Award ID: 2017YFD0200600
                Award Recipient :
                Funded by: Strategic Priority Research Program (B) of Chinese Academy of Sciences
                Award ID: XDB15020200
                Award Recipient :
                Funded by: Australian Research Council
                Award ID: DP170103628
                Award ID: DP190103714
                Award Recipient :
                Funded by: Youth Innovation Promotion Association, Chinese Academy of Sciences
                Award ID: Y201615
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                crop microbiomes,temporal dynamics,soil–plant continuum,microbiome assembly,microbial interkingdom networks,phylloplane microbiome,metagenomics

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