• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Asian Journal of Plant Pathology
  2. Vol 9 (3), 2015
  3. 135-141
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Asian Journal of Plant Pathology

Year: 2015 | Volume: 9 | Issue: 3 | Page No.: 135-141

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 86

Authors


Nader A. Ashmawy

Country: Egypt

Said I. Behiry

Country: Egypt

Hosny A. Younes

Country: Egypt

Ahmed E. Khaled

Country: Egypt

Keywords


  • antiserum
  • ELISA
  • Pectobacterium carotovorum
  • polyclonal antibodies
  • soft rot
Research Article

Development of Polyclonal Rabbit Serum-Based ELISA for Detection of Pectobacterium carotovorum subsp. carotovorum and its Specificity against other Causing Soft Rot Bacteria

Nader A. Ashmawy, Said I. Behiry, Hosny A. Younes and Ahmed E. Khaled
The soft rot bacteria Pectobacterium and Dickeya species cause economically important diseases on potato crops. Specific and efficient detection methods are essential to investigate the ecology and pathogenesis of the soft rot bacteria as well as in seed certification programmes. Polyclonal antibodies against potato soft rot bacterium; Pectobacterium carotovorum subsp. carotovorum were generated in female New Zealand white rabbits. Determination of the optimum period to collect the antiserum (As) using indirect Enzyme-Linked Immunosorbent Assay (ELISA) showed that, the first collecting date 7 days after the last injection was the best followed by the second collecting date 14 days in both killed (As1) and live (As2) bacterial antisera. The best positive values of antiserum titer were obtained with As1 (7 days) up to dilution of 1:1.28×104 then As1 (14 days) 1:6.4×103 and As2 (7 or 14 days) 1:8×102. Efficiency of the antiserum to comparing among six isolates causing soft rot, Pectobacterium carotovorum subsp. carotovorum (PCCS63) which used for antisera production, P. carotovorum subsp. carotovorum (IPO1949), P. carotovorum subsp. atrosepticum (1007), P. carotovorum subsp. wasabiae (ipp041), Dickeya dianthicola (IPO2114) and Dickeya chrysanthemi (DSM4610) revealed that, our polyclonal antiserum had a high sensitivity to react with P. carotovorum subsp. carotovorum isolates PCCS63 and IPO1949 than with D. chrysanthemi DSM4610 isolate and the least coupling was found with P. carotovorum subsp. wasabiae ipp041 and Dickeya dianthicola IPO2114 isolates. The produced antiserum was more sensitive to detect P. carotovorum subsp. carotovorum isolates than the other soft rot bacteria.
PDF Fulltext XML References Citation

How to cite this article

Nader A. Ashmawy, Said I. Behiry, Hosny A. Younes and Ahmed E. Khaled, 2015. Development of Polyclonal Rabbit Serum-Based ELISA for Detection of Pectobacterium carotovorum subsp. carotovorum and its Specificity against other Causing Soft Rot Bacteria. Asian Journal of Plant Pathology, 9: 135-141.

URL: https://scialert.net/abstract/?doi=ajppaj.2015.135.141

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved