American Cockroach (Periplaneta americana): Genomic Analysis of Emerging New Strains

Background: This study presents the first molecular characterization of Periplaneta americana from the Jeddah region of Saudi Arabia, utilizing DNA barcoding for accurate species identification. Methods: DNA was extracted from 30 specimens using the Thermo Scientific GeneJET Genomic DNA Purification Kit and amplified with universal primers LCO 1490 and HCO 2198, producing a 700-800 bp band. Result: Sequencing revealed two accession numbers, JQ267485.1 and KM576926.1, showing 96-100% and 92-96% similarity to P. americana, respectively. Phylogenetic analysis using MEGA7 confirmed the species’ identification, adding novel genetic data to the global repository. The study aligns with previous findings on the genetic diversity of P. americana, highlighting the species’ complexity and evolutionary relationships within Blattaria. The morphological identification of various life stages corroborates existing literature but emphasizes the need for detailed oothecae characterization in the region. This comprehensive approach, combining molecular and morphological methods, demonstrates the efficacy of DNA barcoding in pest identification and supports enhanced pest management strategies. By filling a critical gap in the genetic documentation of P. americana in Saudi Arabia, this research contributes valuable insights for future studies and control measures aimed at mitigating the impact of this urban pest.

Authors

Publication Details

Journal
Indian Journal of Animal Research
Published
2025-02-06
DOI
https://doi.org/10.18805/ijar.bf-1884
Primary Topic
Insects and Parasite Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

American Cockroach (Periplaneta americana): Genomic Analysis of Emerging New Strains

Somia Eissa Sharawi
Indian Journal of Animal Research
Insects and Parasite Interactions
article

American Cockroach (Periplaneta americana): Genomic Analysis of Emerging New Strains

Somia Eissa Sharawi
article en

Abstract

Background: This study presents the first molecular characterization of Periplaneta americana from the Jeddah region of Saudi Arabia, utilizing DNA barcoding for accurate species identification. Methods: DNA was extracted from 30 specimens using the Thermo Scientific GeneJET Genomic DNA Purification Kit and amplified with universal primers LCO 1490 and HCO 2198, producing a 700-800 bp band. Result: Sequencing revealed two accession numbers, JQ267485.1 and KM576926.1, showing 96-100% and 92-96% similarity to P. americana, respectively. Phylogenetic analysis using MEGA7 confirmed the species’ identification, adding novel genetic data to the global repository. The study aligns with previous findings on the genetic diversity of P. americana, highlighting the species’ complexity and evolutionary relationships within Blattaria. The morphological identification of various life stages corroborates existing literature but emphasizes the need for detailed oothecae characterization in the region. This comprehensive approach, combining molecular and morphological methods, demonstrates the efficacy of DNA barcoding in pest identification and supports enhanced pest management strategies. By filling a critical gap in the genetic documentation of P. americana in Saudi Arabia, this research contributes valuable insights for future studies and control measures aimed at mitigating the impact of this urban pest.

Indian Journal of Animal Research(Of)
Openalex Percentile: Top 98%
Insects and Parasite Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.