2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Molecular evidence of widespread benzimidazole drug resistance in Ancylostoma caninum from domestic dogs throughout the USA and discovery of a novel β-tubulin benzimidazole resistance mutation

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Ancylostoma caninum is an important zoonotic gastrointestinal nematode of dogs worldwide and a close relative of human hookworms. We recently reported that racing greyhound dogs in the USA are infected with A. caninum that are commonly resistant to multiple anthelmintics. Benzimidazole resistance in A. caninum in greyhounds was associated with a high frequency of the canonical F167Y(T TC>T AC) isotype-1 β-tubulin mutation. In this work, we show that benzimidazole resistance is remarkably widespread in A. caninum from domestic dogs across the USA. First, we identified and showed the functional significance of a novel benzimidazole isotype-1 β-tubulin resistance mutation, Q134H(CA A>CA T). Several benzimidazole resistant A. caninum isolates from greyhounds with a low frequency of the F167Y(T TC>T AC) mutation had a high frequency of a Q134H(CA A>CA T) mutation not previously reported from any eukaryotic pathogen in the field. Structural modeling predicted that the Q134 residue is directly involved in benzimidazole drug binding and that the 134H substitution would significantly reduce binding affinity. Introduction of the Q134H substitution into the C. elegans β-tubulin gene ben-1, by CRISPR-Cas9 editing, conferred similar levels of resistance as a ben-1 null allele. Deep amplicon sequencing on A. caninum eggs from 685 hookworm positive pet dog fecal samples revealed that both mutations were widespread across the USA, with prevalences of 49.7% (overall mean frequency 54.0%) and 31.1% (overall mean frequency 16.4%) for F167Y(T TC>T AC) and Q134H(CA A>CA T), respectively. Canonical codon 198 and 200 benzimidazole resistance mutations were absent. The F167Y(T TC>T AC) mutation had a significantly higher prevalence and frequency in Western USA than in other regions, which we hypothesize is due to differences in refugia. This work has important implications for companion animal parasite control and the potential emergence of drug resistance in human hookworms.

          Author summary

          Although increasingly common in livestock, no reports of widespread anthelmintic resistance are confirmed in any companion animal or human gastrointestinal nematode parasite to date. The canine hookworm is a common intestinal zoonotic parasite of dogs with severe clinical impacts in young dogs, and for which control is dependent on regular anthelmintic use. We recently reported multiple anthelmintic drug resistance in A. caninum isolates from greyhounds derived from multiple locations in the USA likely caused by long standing intensive treatment regimens in kennels. In this study, we investigated benzimidazole resistance in A. caninum in pet dogs across the USA. We also identified and showed the functional significance of a novel benzimidazole isotype-1 β-tubulin resistance mutation in A. caninum from greyhounds that has not been previously reported in the field for any organism. We then determined that this novel mutation, as well as a previously characterized resistance mutation, were present, often at high frequency, in many A. caninum populations across the USA. This study reports the first evidence of widespread drug resistance for any parasitic nematode of companion animals and illustrates the power of molecular approaches to rapidly assess anthelmintic resistance in a region.

          Related collections

          Most cited references64

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Highly accurate protein structure prediction with AlphaFold

          Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1 – 4 , the structures of around 100,000 unique proteins have been determined 5 , but this represents a small fraction of the billions of known protein sequences 6 , 7 . Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single protein structure. Accurate computational approaches are needed to address this gap and to enable large-scale structural bioinformatics. Predicting the three-dimensional structure that a protein will adopt based solely on its amino acid sequence—the structure prediction component of the ‘protein folding problem’ 8 —has been an important open research problem for more than 50 years 9 . Despite recent progress 10 – 14 , existing methods fall far short of atomic accuracy, especially when no homologous structure is available. Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. We validated an entirely redesigned version of our neural network-based model, AlphaFold, in the challenging 14th Critical Assessment of protein Structure Prediction (CASP14) 15 , demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods. Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm. AlphaFold predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Maintenance of C. elegans.

                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Validation
                Role: InvestigationRole: Validation
                Role: SoftwareRole: Visualization
                Role: Investigation
                Role: Resources
                Role: InvestigationRole: ValidationRole: Visualization
                Role: InvestigationRole: SupervisionRole: VisualizationRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                PLOS Pathogens
                Public Library of Science (San Francisco, CA USA )
                1553-7366
                1553-7374
                2 March 2023
                March 2023
                : 19
                : 3
                : e1011146
                Affiliations
                [1 ] Faculty of Veterinary Medicine, Host-Parasite Interactions Program, University of Calgary, Alberta, Canada
                [2 ] Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, United States of America
                [3 ] Zoetis, Parsippany, New Jersey, United States of America
                [4 ] Grupo de Parasitología Veterinaria, Universidad Nacional de Colombia, Colombia
                [5 ] Molecular Biosciences, Northwestern University, Evanston, Illinois, United States of America
                [6 ] Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, United States of America
                [7 ] St. George’s University, School of Veterinary Medicine, Grenada, West Indies
                UMASS Medical School, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9036-1357
                https://orcid.org/0000-0001-5596-7380
                https://orcid.org/0000-0003-0808-5216
                https://orcid.org/0000-0002-5080-2859
                http://orcid.org/0000-0003-0229-9651
                https://orcid.org/0000-0002-3068-5528
                https://orcid.org/0000-0002-6787-4699
                Article
                PPATHOGENS-D-22-01783
                10.1371/journal.ppat.1011146
                10013918
                36862759
                a79bba6a-7558-4224-9063-43123631ceb9
                © 2023 Venkatesan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 October 2022
                : 22 January 2023
                Page count
                Figures: 6, Tables: 2, Pages: 25
                Funding
                Funded by: National Institute of Health
                Award ID: R01AI153088
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: 2021-02489
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1172974
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100008349, Boehringer Ingelheim;
                Award Recipient :
                Funded by: Alberta Graduate Excellence Scholarship (AGES)
                Award Recipient :
                ECA, JSG, JSF, and RMK received funding support from the National Institutes of Health, USA (grant number R01AI153088). JSG also received funding from the Natural Sciences and Engineering Research Council of Canada (grant number 2021-02489) and the Bill and Melinda Gates Foundation (grant number OPP1172974). Additionally, PDJC was supported by funds from Boehringer Ingelheim, and AV and RC were supported by the Alberta Graduate Excellence Scholarship (AGES). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Benzimidazoles
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Benzimidazoles
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Pets and Companion Animals
                Biology and Life Sciences
                Zoology
                Animals
                Pets and Companion Animals
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Helminths
                Hookworms
                Biology and Life Sciences
                Zoology
                Animals
                Invertebrates
                Helminths
                Hookworms
                Biology and Life Sciences
                Physiology
                Reproductive Physiology
                Eggs
                Biology and Life Sciences
                Genetics
                Gene Identification and Analysis
                Mutation Detection
                Biology and Life Sciences
                Genetics
                Mutation
                Biology and Life Sciences
                Genetics
                Genomics
                Animal Genomics
                Mammalian Genomics
                Biology and Life Sciences
                Genetics
                Mutation
                Substitution Mutation
                Custom metadata
                vor-update-to-uncorrected-proof
                2023-03-14
                The near full-length isotype-1 β-tubulin gene sequences have been submitted to NCBI’s GenBank and are available under the accession numbers: OP616973-OP616977. DNA amplicon sequencing data have been submitted to NCBI’s Sequence Read Archive (SRA) and are available under the BioProject ID: PRJNA889845. Data on the high-throughput fitness assay used to measure the growth of C. elegans worms with the edited 134H ben-1 phenotype are available from https://github.com/AndersenLab/2022_BZ_Resistance_ben1_Q134H.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

                Comments

                Comment on this article