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      Soil inoculation of Trichoderma asperellum M45a regulates rhizosphere microbes and triggers watermelon resistance to Fusarium wilt

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          Abstract

          Fusarium wilt (FW) caused by Fusarium oxysporum f. sp. niveum (FON) is a soil-borne disease that seriously limits watermelon production. In the present study, Trichoderma asperellum ( T. asperellum) M45a was shown to be an effective biocontrol agent against FW. In a pot experiment, the application of 10 5 cfu/g of T. asperellum M45a granules had an improved control effect on FW during the blooming period (up to 67.44%) in soils subjected to five years of continuous cropping with watermelon, while the average length of watermelon vines was also significantly improved (P < 0.05). Additionally, the acid phosphatase (ACP), cellulase (CL), catalase (CAT), and sucrase (SC) activities in the M45a-inoculation group were significantly higher than those in the control (CK) group, and transformation of the soil nutrients (total N, NO3-N, and available P) was significantly increased. Moreover, T. asperellum M45a inoculation reduced fungal diversity, increased bacterial diversity and especially enhanced the relative abundance of plant growth-promoting rhizobacteria (PGPR), such as Trichoderma, Sphingomonas, Pseudomonas, Actinomadura, and Rhodanobacter. Through functional prediction, the relative abundance of ectomycorrhiza, endophytes, animal pathotrophs, and saprotrophs in the fungal community was determined to be significantly lower than that observed in the M45a-treated soil. Correlation analysis revealed that Sphingomonas, Pseudomonas, and Trichoderma had the most differences in terms of microorganism abundance, and these differences were positively correlated with ACP, CL, CAT, and SC. These findings provide guidance for the use of fungicides to achieve microecological control of FW in continuously cropped watermelon plots.

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          QIIME allows analysis of high-throughput community sequencing data.

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            Search and clustering orders of magnitude faster than BLAST.

            Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch.
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              Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB

              A 16S rRNA gene database ( http://greengenes.lbl.gov ) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative chimeras were identified in 3% of environmental sequences and in 0.2% of records derived from isolates. Environmental sequences were classified into 100 phylum-level lineages in the Archaea and Bacteria .
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                Author and article information

                Contributors
                zhang383399789yi@126.com
                374820322@qq.com
                nkyweilin@163.com
                tianyun79616@163.com
                liangzhihuainky@163.com
                Journal
                AMB Express
                AMB Express
                AMB Express
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2191-0855
                23 October 2020
                23 October 2020
                2020
                : 10
                : 189
                Affiliations
                [1 ]GRID grid.257160.7, ISNI 0000 0004 1761 0331, College of Bioscience and Biotechnology, , Hunan Agricultural University, ; Changsha, Hunan China
                [2 ]GRID grid.410598.1, ISNI 0000 0004 4911 9766, Institute of Agricultural Biotechnology Research, , Hunan Academy of Agricultural Sciences, ; Changsha, Hunan China
                [3 ]GRID grid.410598.1, ISNI 0000 0004 4911 9766, Institute of Plant Protection, , Hunan Academy of Agricultural Sciences, ; Changsha, Hunan China
                Article
                1126
                10.1186/s13568-020-01126-z
                7584699
                33095335
                cfc8a927-ccd6-4159-8eeb-1f3eb4738ec5
                © The Author(s) 2020

                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
                : 18 June 2020
                : 15 October 2020
                Funding
                Funded by: National Key Research and Development Program of China
                Award ID: 2017YFD0200606
                Award ID: 2018YFD0201300
                Award Recipient :
                Funded by: The Hunan Natural Science Foundation
                Award ID: 2019JJ40160
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © The Author(s) 2020

                Biotechnology
                trichoderma asperellum m45a,fusarium wilt,rhizosphere microorganism,watermelon
                Biotechnology
                trichoderma asperellum m45a, fusarium wilt, rhizosphere microorganism, watermelon

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