Genetic polymorphism among seven entomopathogenic nematode species (Steinernematidae) revealed by RAPD and SRAP analyses

Autor: Etr H. K. Khashaba, Amany M. Abd ElAzim, Sanaa A. M. Ibrahim
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Egyptian Journal of Biological Pest Control, Vol 29, Iss 1, Pp 1-7 (2019)
ISSN: 2536-9342
DOI: 10.1186/s41938-019-0114-z
Popis: The strength of sequence-related amplified polymorphism (SRAP) in comparison to random amplified polymorphic DNA (RAPD) in determining the genetic polymorphism among seven species of entomopathogenic nematodes (Steinernematidae) was tested. Nine RAPD and 12 SRAP primer pair’s combinations were used. The number of polymorphic bands and the polymorphism percentages was high in SRAP analysis (97 out of 107 bands were polymorphic (90.6%)) compared to RAPD (65 out of 89 bands were polymorphic (73%)). The highest number of RAPD bands was recorded for OPE-A-07 primer (14 band) while OPE-D-20 was scored the lowest band number (7 bands). The SRAP primers Me3-em2 registered the highest number of bands (13 bands) while Me3-em3and Me2-em2 showed the lowest band number (6 bands). The genotype-specific SRAP and RAPD markers for the different ENP species were recorded. The highest number of SRAP specific markers (7 markers) was scored for Steinernema glaseri, then 4 markers for S. abbasi 2 followed by S. riobrave (3 markers), 1 marker for S. abbasi 1, S. riobrave recorded the highest number of specific RAPD marker (4 specific markers) followed by S. carpocapsae DD 136 and S. glaseri (two specific markers), then only 1 specific marker for S. abbasi 1. Based on the data obtained from RAPD and SRAP analysis, the dendrogram was created to clarify the genetic distances among different species of the studied entomopathogenic nematodes. The present study indicated that SRAP was more powerful than RAPD analysis for detecting the genetic polymorphism among closely related species of nematodes. The genotype-specific markers detected from both RAPD and SRAP can be used in future biological control programs.
Databáze: OpenAIRE
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