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Exploratory cox1 analyses
unveil operational biases and
blurry species boundaries
within Nematoda
Leonardo Tresoldi Gonçalves¹*
Filipe Michels Bianchi¹
Cláudia Calegaro-Marques¹
Maríndia Deprá¹
¹Universidade Federal do Rio Grande do Sul,
Porto Alegre, RS, Brazil
*tresoldigoncalves@gmail.comPicture credit:
Quickcrop
Nematodes are
traditionally identified
with morphology,
but this approach is
often complex and
innefficient.
But is DNA barcoding
effective to identify
nematodes?
Can cox1 aid in
nematode species
delimitation?
DNA barcoding uses a
standard mitochondrial
marker (cox1) to
improve organism
identification.
Detecting and
describing cryptic
nematode diversity
demands great effort.
Introduction
2,928 cox1 sequences of seven
nematode genera were obtained:
Anguillicola
Caenorhabditis
Heterodera
Meloidogyne
Onchocerca
Strongyloides
Trichinella
Total of 111 species labels.
Methods
Pairwise comparisons (p-distance)
Sorted into inter- and intraspecific bins
Visualized in histograms
Putative species delimitation
Simple distance, default parameters
Identification success analysis
Scatter plot considering maximum
intraspecific distance and nearest-
neighbor distance
Alignment and quality control of sequences
Following Kvist (2016)
GenBank
Kvist (2016) - doi: 10.3109/19401736.2014.984166
Figure 1
Histograms with intraspecific distances (black) and interspecific distances (grey) for three genera,
illustrating the barcoding gap patterns detected. A. Caenorhabditis, with a consistent barcoding gap; B.
Anguillicola, with a barcoding gap flanked by atypical distances; C. Heterodera, without barcoding gap.
Results & Discussion
We found three barcoding gap patterns:
A. 'True' barcoding gap
A well-defined gap placed between the distribution
of intra- and interspecific distances. Detected in
Caenorhabditis and Trichinella.
B. Tendency to a barcoding gap
When atypical intra- and interspecific distances flank
the gap. Detected in Anguillicola and Onchocerca.
C. No barcoding gap
When intra- and interspecific distances consistently
overlap. Detected in Heterodera, Meloidogyne, and
Strongyloides.
Picture credit:
The Independent
Results & Discussion
Figure 2
Maximum intraspecific distance compared with nearest-neighbor
distance for 111 nematode species. One-third of the species (66.6%)
fall above the 1:1 line, which indicates identification success.
Cox1 showed efficiency for nematode identification to some
extent, but incorrect labeling of database sequences may hinder
its performance.
Table 1
Result summary, including number of species labels according GenBank, number of putative species
estimated by ABGD and statistics of the barcoding gap for each genus.
For most genera, ABGD delimits more putative species than the
number reported by GenBank. This indicates potential specimen
or sequence misidentification and/or cryptic diversity.

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Exploratory cox1 analyses unveil operational biases and blurry species boundaries within Nematoda

  • 1. Exploratory cox1 analyses unveil operational biases and blurry species boundaries within Nematoda Leonardo Tresoldi Gonçalves¹* Filipe Michels Bianchi¹ Cláudia Calegaro-Marques¹ Maríndia Deprá¹ ¹Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil *tresoldigoncalves@gmail.comPicture credit: Quickcrop
  • 2. Nematodes are traditionally identified with morphology, but this approach is often complex and innefficient. But is DNA barcoding effective to identify nematodes? Can cox1 aid in nematode species delimitation? DNA barcoding uses a standard mitochondrial marker (cox1) to improve organism identification. Detecting and describing cryptic nematode diversity demands great effort. Introduction
  • 3. 2,928 cox1 sequences of seven nematode genera were obtained: Anguillicola Caenorhabditis Heterodera Meloidogyne Onchocerca Strongyloides Trichinella Total of 111 species labels. Methods Pairwise comparisons (p-distance) Sorted into inter- and intraspecific bins Visualized in histograms Putative species delimitation Simple distance, default parameters Identification success analysis Scatter plot considering maximum intraspecific distance and nearest- neighbor distance Alignment and quality control of sequences Following Kvist (2016) GenBank Kvist (2016) - doi: 10.3109/19401736.2014.984166
  • 4. Figure 1 Histograms with intraspecific distances (black) and interspecific distances (grey) for three genera, illustrating the barcoding gap patterns detected. A. Caenorhabditis, with a consistent barcoding gap; B. Anguillicola, with a barcoding gap flanked by atypical distances; C. Heterodera, without barcoding gap. Results & Discussion We found three barcoding gap patterns: A. 'True' barcoding gap A well-defined gap placed between the distribution of intra- and interspecific distances. Detected in Caenorhabditis and Trichinella. B. Tendency to a barcoding gap When atypical intra- and interspecific distances flank the gap. Detected in Anguillicola and Onchocerca. C. No barcoding gap When intra- and interspecific distances consistently overlap. Detected in Heterodera, Meloidogyne, and Strongyloides. Picture credit: The Independent
  • 5. Results & Discussion Figure 2 Maximum intraspecific distance compared with nearest-neighbor distance for 111 nematode species. One-third of the species (66.6%) fall above the 1:1 line, which indicates identification success. Cox1 showed efficiency for nematode identification to some extent, but incorrect labeling of database sequences may hinder its performance. Table 1 Result summary, including number of species labels according GenBank, number of putative species estimated by ABGD and statistics of the barcoding gap for each genus. For most genera, ABGD delimits more putative species than the number reported by GenBank. This indicates potential specimen or sequence misidentification and/or cryptic diversity.