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      Distribution of large lungworms (Nematoda: Dictyocaulidae) in free-roaming populations of red deer Cervus elaphus (L.) with the description of Dictyocaulus skrjabini n. sp.

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          Abstract

          Abstract

          Lungworms of the genus Dictyocaulus are causative agents of parasitic bronchitis in domestic and wild ungulates. This study investigates the distribution, morphology and genetic diversity of D. cervi and a new lungworm species, Dictyocaulus skrjabini n. sp. infecting red deer Cervus elaphus, fallow deer Dama dama and moose Alces alces in Poland and Sweden. The study was conducted on 167 red deer from Poland and on the DNA of lungworms derived from 7 fallow deer, 4 red deer and 2 moose collected in Sweden. The prevalence of D. cervi and D. skrjabini n. sp. in dissected red deer in Poland was 31.1% and 7.2%, respectively. Moreover, D. skrjabini n. sp. was confirmed molecularly in 7 isolates of fallow deer lungworms and 1 isolate of red deer lungworms from Sweden. Dictyocaulus skrjabini n. sp. was established based on combination of their distinct molecular and morphological features; these included the length of cephalic vesicle, buccal capsule (BC), buccal capsule wall (BCW), distance from anterior extremity to the nerve ring, the width of head, oesophagus, cephalic vesicle, BC and BCW, as well as the dimensions of reproductive organs of male and female. Additionally, molecular analyses revealed 0.9% nucleotide sequence divergence for 1,605 bp SSU rDNA, and 16.5–17.3% nucleotide sequence divergence for 642 bp mitochondrial cytB between D. skrjabini n. sp. and D. cervi, respectively, and 18.7–19% between D. skrjabini n. sp. and D. eckerti, which translates into 18.2–18.7% amino acid sequence divergence between D. skrjabini n. sp. and both lungworms.

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          Most cited references32

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          jModelTest 2: more models, new heuristics and parallel computing.

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            MRBAYES: Bayesian inference of phylogenetic trees

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              A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

              The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximum- likelihood principle, which clearly satisfies these requirements. The core of this method is a simple hill-climbing algorithm that adjusts tree topology and branch lengths simultaneously. This algorithm starts from an initial tree built by a fast distance-based method and modifies this tree to improve its likelihood at each iteration. Due to this simultaneous adjustment of the topology and branch lengths, only a few iterations are sufficient to reach an optimum. We used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches. The reduction of computing time is dramatic in comparison with other maximum-likelihood packages, while the likelihood maximization ability tends to be higher. For example, only 12 min were required on a standard personal computer to analyze a data set consisting of 500 rbcL sequences with 1,428 base pairs from plant plastids, thus reaching a speed of the same order as some popular distance-based and parsimony algorithms. This new method is implemented in the PHYML program, which is freely available on our web page: http://www.lirmm.fr/w3ifa/MAAS/.
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                Author and article information

                Journal
                Parasitology
                Parasitology
                PAR
                Parasitology
                Cambridge University Press (Cambridge, UK )
                0031-1820
                1469-8161
                September 2023
                24 August 2023
                : 150
                : 10
                : 956-966
                Affiliations
                [1 ]Department of Food Hygiene and Public Health Protection, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW) , Warsaw, Poland
                [2 ]Polish Academy of Sciences, W. Stefański Institute of Parasitology , Warsaw, Poland
                [3 ]Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences (WULS-SGGW) , Warsaw, Poland
                [4 ]County Veterinary Inspectorate in Sanok , Sanok, Poland
                [5 ]Institute of Biology and Earth Sciences, Pedagogical University of Cracow , Kraków, Poland
                [6 ]Forest Inspectorate in Pieńsk , Pieńsk, Poland
                [7 ]Institute of Biology, University of Warsaw, Imaging Laboratory , Warsaw, Poland
                [8 ]Department of Biomedical Sciences and Veterinary Public Health (BVF), Division of Parasitology, Swedish University of Agricultural Sciences (SLU) , Uppsala, Sweden
                Author notes
                Corresponding author: Anna Maria Pyziel, E-mail: anna_pyziel@ 123456sggw.edu.pl
                Author information
                https://orcid.org/0000-0002-8149-7412
                Article
                S003118202300080X
                10.1017/S003118202300080X
                10577652
                37694391
                b980c7e3-8763-441e-aae5-76cd81e2b923
                © The Author(s) 2023

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 05 April 2023
                : 29 May 2023
                : 22 August 2023
                Page count
                Figures: 5, Tables: 2, References: 32, Pages: 11
                Funding
                Funded by: Warsaw University of Life Sciences Own Scholarship Found
                Award ID: BWM – 315/2018
                Categories
                Research Article

                Parasitology
                dictyocaulus skrjabini n. sp,fallow deer (dama dama),moose (alces alces),phylogenetic reconstruction,red deer (cervus elaphus)

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