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      Strategies and Structure Feature of the Aboveground and Belowground Microbial Community Respond to Drought in Wild Rice ( Oryza longistaminata)

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          Abstract

          Background

          Drought is global environmental stress that limits crop yields. Plant-associated microbiomes play a crucial role in determining plant fitness in response to drought, yet the fundamental mechanisms for maintaining microbial community stability under drought disturbances in wild rice are poorly understood. We make explicit comparisons of leaf, stem, root and rhizosphere microbiomes from the drought-tolerant wild rice ( Oryza longistaminata) in response to drought stress.

          Results

          We find that the response of the wild rice microbiome to drought was divided into aboveground–underground patterns. Drought reduced the leaf and stem microbial community diversity and networks stability, but not that of the roots and rhizospheres. Contrary to the aboveground microbial networks, the drought-negative response taxa exhibited much closer interconnections than the drought-positive response taxa and were the dominant network hubs of belowground co-occurrence networks, which may contribute to the stability of the belowground network. Notably, drought induces enrichment of Actinobacteria in belowground compartments, but not the aboveground compartment. Additionally, the rhizosphere microbiome exhibited a higher proportion of generalists and broader habitat niche breadth than the microbiome at other compartments, and drought enhanced the proportion of specialists in all compartments. Null model analysis revealed that both the aboveground and belowground-community were governed primarily by the stochastic assembly process, moreover, drought decreased ‘dispersal limitation’, and enhanced ‘drift’.

          Conclusions

          Our results provide new insight into the different strategies and assembly mechanisms of the above and belowground microbial community in response to drought, including enrichment of taxonomic groups, and highlight the important role of the stochastic assembly process in shaping microbial community under drought stress.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12284-021-00522-8.

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          Most cited references85

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          QIIME allows analysis of high-throughput community sequencing data.

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            Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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              Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

              The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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                Author and article information

                Contributors
                dingxia97@ncu.edu.cn
                Journal
                Rice (N Y)
                Rice (N Y)
                Rice
                Springer US (New York )
                1939-8425
                1939-8433
                8 September 2021
                8 September 2021
                2021
                : 14
                : 79
                Affiliations
                [1 ]GRID grid.260463.5, ISNI 0000 0001 2182 8825, School of Life Sciences, , Nanchang University, ; Nanchang, 330031 Jiangxi China
                [2 ]GRID grid.464380.d, ISNI 0000 0000 9885 0994, Jiangxi Super-Rice Research and Development Center, , Jiangxi Academy of Agricultural Sciences, ; Nanchang, 330200 Jiangxi China
                Author information
                http://orcid.org/0000-0003-1535-2642
                Article
                522
                10.1186/s12284-021-00522-8
                8426455
                34495440
                b75790ae-766d-4794-8c39-5308323316fd
                © 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/.

                History
                : 17 June 2021
                : 31 August 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
                Award ID: 81960364
                Award ID: 31560041
                Award ID: 81501162
                Award Recipient :
                Funded by: jiangxi province outstanding young talents funding scheme
                Award ID: 20171BCB23020
                Award Recipient :
                Funded by: interdisciplinary innovation fund of nanchang university
                Award ID: 9166-27060003-YB11
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © The Author(s) 2021

                Agriculture
                plant microbiome,wild rice,drought,oryza longistaminata,microbial community assembly,host microbial ecology

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