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      High Predatory Capacity of a Novel Arthrobotrys oligospora Variety on the Ovine Gastrointestinal Nematode Haemonchus contortus (Rhabditomorpha: Trichostrongylidae)

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          Abstract

          With the worldwide development of anthelmintic resistance, new alternative approaches for controlling gastrointestinal nematodes in sheep are urgently required. In this work, we identified and characterized native nematode-trapping fungi. We collected seven isolates of fungi with the capacity to form adhesive, three-dimensional networks as the main mechanism to capture, kill, and consume nematodes. The nematode-trapping fungi were classified into two groups; the first group includes the R2-13 strain, showing faster growth, abundant aerial hyphae, scarce conidia production, bigger conidia, and it formed a clade with Arthrobotrys oligospora sensu stricto. The second comprises the A6, A12, A13, R2-1, R2-6, and R2-14 strains, showing a growth adhering to the culture medium, forming little aerial hyphae, smaller conidia, and these formed a sister clade to A. oligospora. Except for the R2-6 strain, conidia production was induced by light. In all the strains, the predatory capacity against the sheep gastrointestinal nematode Haemonchus contortus was greater than 58% compared with the control group. The A6 and A13 strains were the most active against the infective H. contortus third instar (L 3) larvae, with an average capture capacity of 91%. Altogether, our results support evidence for a novel A. oligospora variety with high nematode-trapping activity and promissory in helminthic control.

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          AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GENES FOR PHYLOGENETICS

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            RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

            RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML). Low-level technical optimizations, a modification of the search algorithm, and the use of the GTR+CAT approximation as replacement for GTR+Gamma yield a program that is between 2.7 and 52 times faster than the previous version of RAxML. A large-scale performance comparison with GARLI, PHYML, IQPNNI and MrBayes on real data containing 1000 up to 6722 taxa shows that RAxML requires at least 5.6 times less main memory and yields better trees in similar times than the best competing program (GARLI) on datasets up to 2500 taxa. On datasets > or =4000 taxa it also runs 2-3 times faster than GARLI. RAxML has been parallelized with MPI to conduct parallel multiple bootstraps and inferences on distinct starting trees. The program has been used to compute ML trees on two of the largest alignments to date containing 25,057 (1463 bp) and 2182 (51,089 bp) taxa, respectively. icwww.epfl.ch/~stamatak
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              MODELTEST: testing the model of DNA substitution.

              The program MODELTEST uses log likelihood scores to establish the model of DNA evolution that best fits the data. The MODELTEST package, including the source code and some documentation is available at http://bioag.byu. edu/zoology/crandall_lab/modeltest.html.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Pathogens
                Pathogens
                pathogens
                Pathogens
                MDPI
                2076-0817
                29 June 2021
                July 2021
                : 10
                : 7
                : 815
                Affiliations
                [1 ]Immunology and Vaccines Laboratory, Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro 76140, Mexico
                [2 ]CONACYT-Unidad Regional Universitario de Zonas Áridas, Universidad Autónoma Chapingo, Bermejillo 35230, Mexico
                [3 ]Laboratorio de Microbiología Molecular, Unidad de Microbiología Básica y Aplicada, Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro 76140, Mexico; landeros@ 123456uaq.mx
                [4 ]Centro Regional Universitario Sursureste, Universidad Autónoma Chapingo, Teapa 86800, Mexico; robgardu@ 123456hotmail.com
                [5 ]COPAR (Control of Parasites), Animal Pathology Department, Veterinary Faculty, Santiago de Compostela University, Campus Universitario, 27002 Lugo, Spain; cristianafcm@ 123456gmail.com (C.C.-M.); mariasol.arias@ 123456usc.es (M.S.A.-V.)
                [6 ]C.A. Salud Animal y Microbiologia Ambiental, Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Av. de las Ciencias s/n Col Juriquilla, Querétaro 76230, Mexico; gabriela.aguilar@ 123456uaq.mx
                Author notes
                Author information
                https://orcid.org/0000-0002-2436-9000
                https://orcid.org/0000-0003-0368-6645
                https://orcid.org/0000-0002-2682-9015
                https://orcid.org/0000-0001-8892-6390
                Article
                pathogens-10-00815
                10.3390/pathogens10070815
                8308572
                34209763
                50ba4723-d37f-4049-bb3c-a1b9655ac0d3
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 07 May 2021
                : 22 June 2021
                Categories
                Article

                parasitosis,antihelmintic,biocontrol,nematofagous fungi,arthrobotrys oligospora,light response

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