Literature DB >> 19279787

Detection and identification of bursaphelenchus species with DNA fingerprinting and polymerase chain reaction.

J H Harmey, M A Harmey.   

Abstract

We have evaluated the potential of DNA-based methods to identify and differentiate Bursaphelenchus spp. and isolates. The isolation of a DNA probe, designated X14, and development of a DNA fingerprinting method for the identification and differentiation of Bursaphelenchus species and strains is described. Polymerase chain reaction (PCR) amplification of DNA isolated from Bursaphelenchus species using two primers derived from the sequence of the cloned repetitive DNA fragment X14 resulted in multiple band profiles. A 4-kb fragment thus amplified from B. xylophilus DNA was not amplified from B. mucronatus or B. fraudulentus DNA. In addition to this fragment, several other fragments are amplified from the three species. The banding patterns obtained allowed species identification and may have value in determining taxonomic affinities.

Entities:  

Keywords:  Bursaphelenchus; DNA fingerprinting; differentiation; identification; nematode; pinewood nematode species complex (PWNSC); polymerase chain reaction; systematics; taxonomy

Year:  1993        PMID: 19279787      PMCID: PMC2619408     

Source DB:  PubMed          Journal:  J Nematol        ISSN: 0022-300X            Impact factor:   1.402


  3 in total

1.  Ribosomal DNA haplotype distribution of Bursaphelenchus xylophilus in Kyushu and Okinawa islands, Japan.

Authors:  Mine Nose; Susumu Shiraishi; Fumihiko Miyahara; Mineko Ohira; Koji Matsunaga; Masashi Tobase; Takao Koyama; Kikuo Yoshimoto
Journal:  J Nematol       Date:  2009-09       Impact factor: 1.402

2.  Molecular Phylogeny of Geographical Isolates of Bursaphelenchus xylophilus: Implications on the Origin and Spread of this Species in China and Worldwide.

Authors:  Keyun Zhang; Hui Liu; Jie Sun; Jingrui Liu; Kan Fei; Chongxing Zhang; Mingxu Xu; Jing Sun; Xiyuan Ma; Ren Lai; Yidong Wu; Maosong Lin
Journal:  J Nematol       Date:  2008-06       Impact factor: 1.402

Review 3.  Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques.

Authors:  Weibin Wu; Zhenbang Zhang; Lijun Zheng; Chongyang Han; Xiaoming Wang; Jian Xu; Xinrong Wang
Journal:  Sensors (Basel)       Date:  2020-07-03       Impact factor: 3.576

  3 in total

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