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      Abundance, diversity, and composition of root-associated microbial communities varied with tall fescue cultivars under water deficit

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          Abstract

          The plant breeding program has developed many cultivars of tall fescue ( Festuca arundinacea) with low maintenance and stress tolerance. While the root-associated microbial community helps confer stress tolerance in the host plant, it is still largely unknown how the microbiota varies with plant cultivars under water stress. The study aimed to characterize drought-responsive bacteria and fungi in the roots and rhizosphere of different tall fescue cultivars. Intact grass-soil cores were collected from six cultivars grown in a field trial under no-irrigation for 3 years. Tall fescue under irrigation was also sampled from an adjacent area as the contrast. Bacterial and fungal communities in roots, rhizosphere, and bulk soil were examined for abundance, diversity, and composition using quantitative-PCR and high-throughput amplicon sequencing of 16S rRNA gene and ITS regions, respectively. Differences in microbial community composition and structure between non-irrigated and irrigated samples were statistically significant in all three microhabitats. No-irrigation enriched Actinobacteria in all three microhabitats, but mainly enriched Basidiomycota in the root endosphere and only Glomeromycota in bulk soil. Tall fescue cultivars slightly yet significantly modified endophytic microbial communities. Cultivars showing better adaptability to drought encompassed more relatively abundant Actinobacteria, Basidiomycota, or Glomeromycota in roots and the rhizosphere. PICRUSt2-based predictions revealed that the relative abundance of functional genes in roots related to phytohormones, antioxidant enzymes, and nutrient acquisition was enhanced under no-irrigation. Significant associations between Streptomyces and putative drought-ameliorating genes underscore possible mechanics for microbes to confer tall fescue with water stress tolerance. This work sheds important insight into the potential use of endophytic microbes for screening drought-adaptive genotypes and cultivars.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                12 January 2023
                2022
                : 13
                : 1078836
                Affiliations
                Department of Crop and Soil Sciences, North Carolina State University , Raleigh, NC, United States
                Author notes

                Edited by: Pil Joo Kim, Gyeongsang National University, Republic of Korea

                Reviewed by: Dhananjaya Pratap Singh, National Bureau of Agriculturally Important Microorganisms, India; Xingang Zhou, Northeast Agricultural University, China

                *Correspondence: Wei Shi, wei_shi@ 123456ncsu.edu

                This article was submitted to Terrestrial Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2022.1078836
                9878326
                36713160
                1be76d9a-9340-40a8-a6d2-6c4b81e403f7
                Copyright © 2023 Hu, Miller and Shi.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 October 2022
                : 28 December 2022
                Page count
                Figures: 5, Tables: 2, Equations: 0, References: 76, Pages: 14, Words: 9855
                Funding
                Funded by: North Carolina Turfgrass Center for Research and Education
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                drought,cultivar,actinobacteria,basidiomycota,turfgrass,plant-microbe interactions

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