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Morphological and Genetic Characterization of the Poorly Known Species Subulura chinensis Schwartz, 1926 (Nematoda: Ascaridida) from Athene noctua (Scopoli) (Strigiformes: Strigidae).

Ning GuoLu-Ping ZhangLin-Wei LiLiang Li
Published in: Acta parasitologica (2019)
Our SEM observations showed for the fist time the detailed morphology of the cephalic extremity, precloacal pseudo-sucker, caudal papillae, gubernaculum, phasmids and vulva of S. chinensis, and also determined the presence of a small, single medio-ventral precloacal papilla in the male. Moreover, we detected the presence of 0.08-0.40% and 0-1.30% nucleotide divergence among different individuals of S. chinensis in the ITS and cox1 regions, respectively. The supplementary morphological characters and genetic data will be very useful for the diagnosis of this poorly known species.
Keyphrases
  • spinal cord
  • electronic health record
  • genome wide
  • big data
  • deep brain stimulation
  • soft tissue
  • dna methylation
  • data analysis
  • deep learning
  • prefrontal cortex