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      Bacterial endophytic community composition varies by hemp cultivar in commercially sourced seed

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          Abstract

          The seed‐endophytic bacterial community is a potentially beneficial and heritable fraction of the plant microbiome. Its utilization as a sustainable crop improvement strategy could be especially valuable for species such as hemp, where production is being scaled up and new challenges will be faced in managing crop productivity and health. However, little is known about the makeup and variation of the hemp seed microbiome. This study profiled the endophytic bacterial communities harboured by 16 hemp cultivars sourced from commercial suppliers in Europe. A 16S rDNA amplicon sequencing approach identified 917 amplicon sequence variants across samples. Taxonomic classification of sequences revealed 4 phyla and 87 genera to be represented in the dataset. Several genera were widespread while some were specific to one or a few cultivars. Flavobacterium, Pseudomonas, and Pantoea were notable in their high overall abundance and prevalence, but community composition was variable and no one taxon was universally abundant, suggesting a high degree of flexibility in community assembly. Taxonomic composition and alpha diversity differed among cultivars, though further work is required to understand the relative influence of hemp genetic factors on community structure. The taxonomic profiles presented here can be used to inform further work investigating the functional characteristics and potential plant‐growth‐promoting traits of seed‐borne bacteria in hemp.

          Abstract

          We present the first taxonomic characterization of the hemp ( Cannabis sativa) bacterial seed microbiome using 16S rDNA amplicon sequencing. Seed‐endophytic community composition and diversity varied among 16 commercially available hemp cultivars, though some bacterial taxa were highly prevalent across samples.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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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
                kkf@aber.ac.uk
                Journal
                Environ Microbiol Rep
                Environ Microbiol Rep
                10.1111/(ISSN)1758-2229
                EMI4
                Environmental Microbiology Reports
                John Wiley & Sons, Inc. (Hoboken, USA )
                1758-2229
                22 April 2024
                April 2024
                : 16
                : 2 ( doiID: 10.1111/emi4.v16.2 )
                : e13259
                Affiliations
                [ 1 ] Institute of Biological, Environmental & Rural Sciences (IBERS) Aberystwyth University Aberystwyth UK
                Author notes
                [*] [* ] Correspondence

                Kerrie Farrar, Institute of Biological, Environmental & Rural Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth SY23 3EE, UK.

                Email: kkf@ 123456aber.ac.uk

                Author information
                https://orcid.org/0000-0002-3963-0232
                Article
                EMI413259
                10.1111/1758-2229.13259
                11035101
                38649235
                a6798dd9-3ed8-4389-8e9f-4870f48ab724
                © 2024 The Authors. Environmental Microbiology Reports published by John Wiley & Sons Ltd.

                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
                : 29 January 2024
                : 12 March 2024
                Page count
                Figures: 3, Tables: 0, Pages: 11, Words: 7600
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council , doi 10.13039/501100000268;
                Award ID: BB/T008776/1
                Categories
                Brief Report
                Brief Reports
                Custom metadata
                2.0
                April 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.0 mode:remove_FC converted:22.04.2024

                Microbiology & Virology
                Microbiology & Virology

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