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      Exploring the impact of Anaplasma phagocytophilum on colonization resistance of Ixodes scapularis microbiota using network node manipulation

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          Abstract

          Upon ingestion from an infected host, tick-borne pathogens (TBPs) have to overcome colonization resistance, a defense mechanism by which tick microbiota prevent microbial invasions. Previous studies have shown that the pathogen Anaplasma phagocytophilum alters the microbiota composition of the nymphs of Ixodes scapularis, but its impact on tick colonization resistance remains unclear. We analyzed tick microbiome genetic data using published Illumina 16S rRNA sequences, assessing microbial diversity within ticks (alpha diversity) through species richness, evenness, and phylogenetic diversity. We compared microbial communities in ticks with and without infection with A. phagocytophilum (beta diversity) using the Bray-Curtis index. We also built co-occurrence networks and used node manipulation to study the impact of A. phagocytophilum on microbial assembly and network robustness, crucial for colonization resistance. We examined network robustness by altering its connectivity, observing changes in the largest connected component (LCC) and the average path length (APL). Our findings revealed that infection with A. phagocytophilum does not significantly alter the overall microbial diversity in ticks. Despite a decrease in the number of nodes and connections within the microbial networks of infected ticks, certain core microbes remained consistently interconnected, suggesting a functional role. The network of infected ticks showed a heightened vulnerability to node removal, with smaller LCC and longer APL, indicating reduced resilience compared to the network of uninfected ticks. Interestingly, adding nodes to the network of infected ticks led to an increase in LCC and a decrease in APL, suggesting a recovery in network robustness, a trend not observed in networks of uninfected ticks. This improvement in network robustness upon node addition hints that infection with A. phagocytophilum might lower ticksʼ resistance to colonization, potentially facilitating further microbial invasions. We conclude that the compromised colonization resistance observed in tick microbiota following infection with A. phagocytophilum may facilitate co-infection in natural tick populations.

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          Highlights

          • Anaplasma phagocytophilum alters community assembly more than diversity in ticks.

          • Disruption of community assembly was associated with reduced network robustness.

          • Low network robustness links to weaker colonization resistance.

          • Adding nodes improved network robustness in A. phagocytophilum-infected ticks.

          • A. phagocytophilum reduces colonization resistance which may promote co-infections.

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          Most cited references79

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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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            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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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Journal
                Curr Res Parasitol Vector Borne Dis
                Curr Res Parasitol Vector Borne Dis
                Current Research in Parasitology & Vector-borne Diseases
                Elsevier
                2667-114X
                28 April 2024
                2024
                28 April 2024
                : 5
                : 100177
                Affiliations
                [a ]Animal Biotechnology Department, Center for Genetic Engineering and Biotechnology, Avenue 31 between 158 and 190, P.O. Box 6162, Havana, 10600, Cuba
                [b ]ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, F-94700, France
                [c ]Direction of Animal Health, National Center for Animal and Plant Health, Carretera de Tapaste y Autopista Nacional, Apartado Postal 10, San José de las Lajas, Mayabeque, 32700, Cuba
                [d ]INRAE, UR 0045 Laboratoire de Recherches sur le Développement de l'Elevage (SELMET-LRDE), 20250, Corte, France
                [e ]EA 7310, Laboratoire de Virologie, Université de Corse, Corte, France
                [f ]School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
                [g ]Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, 05508-000, SP, Brazil
                [h ]Nature Research Centre, Akademijos 2, Vilnius, Lithuania
                Author notes
                Article
                S2667-114X(24)00008-6 100177
                10.1016/j.crpvbd.2024.100177
                11098721
                4ff529ba-986f-4fbd-9a95-7b2d8f252f61
                © 2024 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 16 November 2023
                : 17 April 2024
                : 19 April 2024
                Categories
                Articles from the special issue on Recent trends and future prospects in genetics and genomics of parasites and vectors; Edited by Dr Frank Katzer and Professor Aneta Kostadinova

                ticks,tick-borne pathogens,community assembly,colonization resistance

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