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      Abundant resistome determinants in rhizosphere soil of the wild plant Abutilon fruticosum

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          Abstract

          A metagenomic whole genome shotgun sequencing approach was used for rhizospheric soil micribiome of the wild plant Abutilon fruticosum in order to detect antibiotic resistance genes (ARGs) along with their antibiotic resistance mechanisms and to detect potential risk of these ARGs to human health upon transfer to clinical isolates. The study emphasized the potential risk to human health of such human pathogenic or commensal bacteria, being transferred via food chain or horizontally transferred to human clinical isolates. The top highly abundant rhizospheric soil non-redundant ARGs that are prevalent in bacterial human pathogens or colonizers (commensal) included mtrA, soxR, vanRO, golS, rbpA, kdpE, rpoB2, arr-1, efrA and ileS genes. Human pathogenic/colonizer bacteria existing in this soil rhizosphere included members of genera Mycobacterium, Vibrio, Klebsiella, Stenotrophomonas, Pseudomonas, Nocardia, Salmonella, Escherichia, Citrobacter, Serratia, Shigella, Cronobacter and Bifidobacterium. These bacteria belong to phyla Actinobacteria and Proteobacteria. The most highly abundant resistance mechanisms included antibiotic efflux pump, antibiotic target alteration, antibiotic target protection and antibiotic inactivation. antimicrobial resistance (AMR) families of the resistance mechanism of antibiotic efflux pump included resistance-nodulation-cell division (RND) antibiotic efflux pump (for mtrA, soxR and golS genes), major facilitator superfamily (MFS) antibiotic efflux pump (for soxR gene), the two-component regulatory kdpDE system (for kdpE gene) and ATP-binding cassette (ABC) antibiotic efflux pump (for efrA gene). AMR families of the resistance mechanism of antibiotic target alteration included glycopeptide resistance gene cluster (for vanRO gene), rifamycin-resistant beta-subunit of RNA polymerase (for rpoB2 gene) and antibiotic-resistant isoleucyl-tRNA synthetase (for ileS gene). AMR families of the resistance mechanism of antibiotic target protection included bacterial RNA polymerase-binding protein (for RbpA gene), while those of the resistance mechanism of antibiotic inactivation included rifampin ADP-ribosyltransferase (for arr-1 gene). Better agricultural and food transport practices are required especially for edible plant parts or those used in folkloric medicine.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13568-023-01597-w.

          Key points

          • Risk of transfer of rhizosphere resistome of A. fruticosum to human gut was explored

          • The most common resistance mechanism in this resistome is antibiotic efflux pump

          • Rhizobiome is a source of new antibiotics with feasible therapeutic interventions

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13568-023-01597-w.

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          Most cited references114

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          Metagenomic biomarker discovery and explanation

          This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
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            CD-HIT: accelerated for clustering the next-generation sequencing data

            Summary: CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next-generation sequencing technologies, we have developed a new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ∼24 cores and a quasi-linear speedup for up to ∼8 cores. The enhanced CD-HIT is capable of handling very large datasets in much shorter time than previous versions. Availability: http://cd-hit.org. Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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              Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

              In 2001 and 2002, we published two papers (Bioinformatics, 17, 282-283, Bioinformatics, 18, 77-82) describing an ultrafast protein sequence clustering program called cd-hit. This program can efficiently cluster a huge protein database with millions of sequences. However, the applications of the underlying algorithm are not limited to only protein sequences clustering, here we present several new programs using the same algorithm including cd-hit-2d, cd-hit-est and cd-hit-est-2d. Cd-hit-2d compares two protein datasets and reports similar matches between them; cd-hit-est clusters a DNA/RNA sequence database and cd-hit-est-2d compares two nucleotide datasets. All these programs can handle huge datasets with millions of sequences and can be hundreds of times faster than methods based on the popular sequence comparison and database search tools, such as BLAST.
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                Author and article information

                Contributors
                Waalshehri@uj.edu.sa
                aaabulfaraj@kau.edu.sa
                mdalqahtani@pnu.edu.sa
                mmalomran@pnu.edu.sa
                namiAlOtaibi@pnu.edu.sa
                kmalwateed@pnu.edu.sa
                asaloufi@pnu.edu.sa
                fmshehrei@uqu.edu.sa
                k.alabosh@uoh.edu.sa
                salshareef2@uj.edu.sa
                raashy@uj.edu.sa
                mrefai@uj.edu.sa
                rsjalal@uj.edu.sa
                Journal
                AMB Express
                AMB Express
                AMB Express
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2191-0855
                30 August 2023
                30 August 2023
                2023
                : 13
                : 92
                Affiliations
                [1 ]GRID grid.460099.2, Department of Biology, College of Science, , University of Jeddah, ; 21493 Jeddah, Saudi Arabia
                [2 ]GRID grid.412125.1, ISNI 0000 0001 0619 1117, Biological Sciences Department, College of Science & Arts, , King Abdulaziz University, ; 21911 Rabigh, Saudi Arabia
                [3 ]GRID grid.449346.8, ISNI 0000 0004 0501 7602, Department of Biology, College of Science, , Princess Nourah bint Abdulrahman University, ; P.O.Box 84428, 11671 Riyadh, Saudi Arabia
                [4 ]GRID grid.412832.e, ISNI 0000 0000 9137 6644, Department of Biology, , Jumum College University, Umm Al-Qura University, ; P.O. Box 7388, 21955 Makkah, Saudi Arabia
                [5 ]GRID grid.443320.2, ISNI 0000 0004 0608 0056, Department of Biology, College of Science, , University of Hail, ; Hail, Saudi Arabia
                [6 ]GRID grid.460099.2, Department of Biology, College of Science and Arts at Khulis, , University of Jeddah, ; 21921 Jeddah, Saudi Arabia
                [7 ]GRID grid.460099.2, Department of Biochemistry, College of Science, , University of Jeddah, ; 21493 Jeddah, Saudi Arabia
                Author information
                https://orcid.org/http://orcid.org/0000-0002-8372-9117
                Article
                1597
                10.1186/s13568-023-01597-w
                10469157
                37646836
                821979c2-9839-4111-9d19-995566115319
                © Springer-Verlag GmbH Germany, part of Springer Nature 2023

                Open Access This 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
                : 30 May 2023
                : 18 August 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100022230, Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University;
                Award ID: PNURSP2023R355
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2023

                Biotechnology
                arg,hgt,mwgs,mges,amr,prevalence,rhizosphere,microbiome,antibiotic resistance mechanism
                Biotechnology
                arg, hgt, mwgs, mges, amr, prevalence, rhizosphere, microbiome, antibiotic resistance mechanism

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