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      Gut microbiota composition in the sympatric and diet‐sharing Drosophila simulans and Dicranocephalus wallichii bowringi shaped largely by community assembly processes rather than regional species pool

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          Abstract

          Clarifying the mechanisms underlying microbial community assembly from regional microbial pools is a central issue of microbial ecology, but remains largely unexplored. Here, we investigated the gut bacterial and fungal microbiome assembly processes and potential sources in Drosophila simulans and Dicranocephalus wallichii bowringi, two wild, sympatric insect species that share a common diet of waxberry. While some convergence was observed, the diversity, composition, and network structure of the gut microbiota significantly differed between these two host species. Null model analyses revealed that stochastic processes (e.g., drift, dispersal limitation) play a principal role in determining gut microbiota from both hosts. However, the strength of each ecological process varied with the host species. Furthermore, the source‐tracking analysis showed that only a minority of gut microbiota within D. simulans and D. wallichii bowringi are drawn from a regional microbial pool from waxberries, leaves, or soil. Results from function prediction implied that host species‐specific gut microbiota might arise partly through host functional requirement and specific selection across host–microbiota coevolution. In conclusion, our findings uncover the importance of community assembly processes over regional microbial pools in shaping sympatric insect gut microbiome structure and function.

          Abstract

          The diversity, composition, and network of gut microbiota differed between the sympatric and diet‐sharing Drosophila simulans and Dicranocephalus wallichii bowringi. Host species shape the bacterial and fungal community in two insect hosts by altering the relative contribution of community assembly processes. A minority of gut microbiota within D. simulans and D. wallichii bowringi are drawn from a regional microbial pool from waxberries, leaves, or soil. The composition of insect gut microbiota is driven by community assembly processes in a host species‐dependent manner more than regional microbial pools.

          Highlights

          • The diversity, composition, and network of gut microbiota differed between the sympatric and diet‐sharing Drosophila simulans and Dicranocephalus wallichii bowringi.

          • Host species shape the bacterial and fungal community in two insect hosts by altering the relative contribution of community assembly processes.

          • A minority of gut microbiota within D. simulans and D. wallichii bowringi are drawn from a regional microbial pool from waxberries, leaves, or soil.

          • The composition of insect gut microbiota is driven by community assembly processes in a host species‐dependent manner more than regional microbial pools.

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments

            Background We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability. Methodology/Principal Findings Where FastTree 1 used nearest-neighbor interchanges (NNIs) and the minimum-evolution criterion to improve the tree, FastTree 2 adds minimum-evolution subtree-pruning-regrafting (SPRs) and maximum-likelihood NNIs. FastTree 2 uses heuristics to restrict the search for better trees and estimates a rate of evolution for each site (the “CAT” approximation). Nevertheless, for both simulated and genuine alignments, FastTree 2 is slightly more accurate than a standard implementation of maximum-likelihood NNIs (PhyML 3 with default settings). Although FastTree 2 is not quite as accurate as methods that use maximum-likelihood SPRs, most of the splits that disagree are poorly supported, and for large alignments, FastTree 2 is 100–1,000 times faster. FastTree 2 inferred a topology and likelihood-based local support values for 237,882 distinct 16S ribosomal RNAs on a desktop computer in 22 hours and 5.8 gigabytes of memory. Conclusions/Significance FastTree 2 allows the inference of maximum-likelihood phylogenies for huge alignments. FastTree 2 is freely available at http://www.microbesonline.org/fasttree.
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                Author and article information

                Contributors
                yzdu@yzu.edu.cn
                Journal
                Imeta
                Imeta
                10.1002/(ISSN)2770-596X
                IMT2
                iMeta
                John Wiley and Sons Inc. (Hoboken )
                2770-5986
                2770-596X
                13 October 2022
                December 2022
                : 1
                : 4 ( doiID: 10.1002/imt2.v1.4 )
                : e57
                Affiliations
                [ 1 ] Department of Entomology, College of Plant Protection Yangzhou University Yangzhou China
                [ 2 ] The Key Laboratory of Plant Immunity, Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource‐saving fertilizers Nanjing Agricultural University Nanjing China
                [ 3 ] Bureau of Agriculture and Rural Affairs of Binhu District of Wuxi Wuxi China
                [ 4 ] Entomology and Nematology Department University of Florida Gainesville Florida USA
                Author notes
                [*] [* ] Correspondence Yu‐Zhou Du, Department of Entomology, College of Plant Protection, Yangzhou University, 88 Daxue South Rd, Hanjiang District, Yangzhou City, 225009 Jiangsu Province, China.

                Email: yzdu@ 123456yzu.edu.cn

                Author information
                http://orcid.org/0000-0002-4452-7125
                http://orcid.org/0000-0003-0102-0487
                Article
                IMT257
                10.1002/imt2.57
                10989964
                38867909
                6a4312f4-895e-4941-b847-0842e069b38a
                © 2022 The Authors. iMeta published by John Wiley & Sons Australia, Ltd on behalf of iMeta Science.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 September 2022
                : 02 June 2022
                : 14 September 2022
                Page count
                Figures: 7, Tables: 0, Pages: 16, Words: 8356
                Funding
                Funded by: Special Fund for Production‐University‐Research Cooperation Project of Fruit Tree Disease and Insect Pest Control of Binhu District
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31901888
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.0 mode:remove_FC converted:25.03.2024

                community assembly,dicranocephalus wallichii bowringi,drosophila simulans,gut microbiota,microbial source‐tracking

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