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On the molecular identity of Paratylenchus nanus Cobb, 1923 (Nematoda: Tylenchida) Cover

On the molecular identity of Paratylenchus nanus Cobb, 1923 (Nematoda: Tylenchida)

Journal of Nematology
Volume 52 (2020): Issue 1 (January 2020)
By:
Open Access
|Jan 2021

Figures & Tables

Figure 1:

Anterior regions of Paratylenchus. A, B: P. projectus from samples collected in Devils Lake, Ramsey County, North Dakota; C-F: P. nanus from samples collected in Four Mile Run, Fall Church, Virginia. Scale – 10 µm.
Anterior regions of Paratylenchus. A, B: P. projectus from samples collected in Devils Lake, Ramsey County, North Dakota; C-F: P. nanus from samples collected in Four Mile Run, Fall Church, Virginia. Scale – 10 µm.

Figure 2:

Posterior regions of Paratylenchus. A: P. projectus from samples collected in Devils Lake, Ramsey County, North Dakota; B-F: P. nanus from samples collected in Four Mile Run, Fall Church, Virginia. Scale – 10 µm.
Posterior regions of Paratylenchus. A: P. projectus from samples collected in Devils Lake, Ramsey County, North Dakota; B-F: P. nanus from samples collected in Four Mile Run, Fall Church, Virginia. Scale – 10 µm.

Figure 3:

Phylogenetic relationships of Paratylenchus nanus with other related species. Bayesian 50% majority rule consensus tree from two runs as inferred from analysis of the D2-D3 of 28 S rRNA gene sequence alignment under the GTR + I + G model. Posterior probabilities equal or more than 70% are given for appropriate clades. New sequences are indicated in bold. * – originally identified as P. nanus. 
Phylogenetic relationships of Paratylenchus nanus with other related species. Bayesian 50% majority rule consensus tree from two runs as inferred from analysis of the D2-D3 of 28 S rRNA gene sequence alignment under the GTR + I + G model. Posterior probabilities equal or more than 70% are given for appropriate clades. New sequences are indicated in bold. * – originally identified as P. nanus. 

Figure 4:

Phylogenetic relationships of Paratylenchus nanus with other related species: Bayesian 50% majority rule consensus tree from two runs as inferred from analysis of the ITS rRNA gene sequence alignment under the GTR + I + G model. Posterior probabilities equal or more than 70% are given for appropriate clades. New sequences are indicated in bold. * – originally identified as P. nanus.
Phylogenetic relationships of Paratylenchus nanus with other related species: Bayesian 50% majority rule consensus tree from two runs as inferred from analysis of the ITS rRNA gene sequence alignment under the GTR + I + G model. Posterior probabilities equal or more than 70% are given for appropriate clades. New sequences are indicated in bold. * – originally identified as P. nanus.

Figure 5:

Phylogenetic relationships of Paratylenchus nanus with other related species: Bayesian 50% majority rule consensus tree from two runs as inferred from analysis of the COI gene sequence alignment under the GTR + I + G model. Posterior probabilities equal or more than 70% are given for appropriate clades. New sequences are indicated in bold. * – originally identified as P. nanus, ** − originally identified as Pratylenchus sp.
Phylogenetic relationships of Paratylenchus nanus with other related species: Bayesian 50% majority rule consensus tree from two runs as inferred from analysis of the COI gene sequence alignment under the GTR + I + G model. Posterior probabilities equal or more than 70% are given for appropriate clades. New sequences are indicated in bold. * – originally identified as P. nanus, ** − originally identified as Pratylenchus sp.
DOI: https://doi.org/10.21307/jofnem-2020-127 | Journal eISSN: 2640-396X | Journal ISSN: 0022-300X
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Language: English
Page range: 1 - 7
Published on: Jan 11, 2021
Published by: Society of Nematologists, Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
COI,
D2-D3 of 28S rRNA,
ITS rRNA,
Molecular phylogeny,
P. nanus type A,
P. nanus type B,
Paratylenchus projectus
Related subjects:
Life sciences,
Life sciences, other

© 2021 Sergei A. Subbotin, Guiping Yan, Mihail Kantor, Zafar Handoo, published by Society of Nematologists, Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.

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