Literature DB >> 31030456

Development of Molecular Marker through Genome Realignment for Specific Detection of Xanthomonas campestris pv. campestris Race 5, a Pathogen of Black Rot Disease.

Khandker Shazia Afrin1, Md Abdur Rahim1, Hee-Jeong Jung1, Jong-In Park1, Hoy-Taek Kim1, Ill-Sup Nou1.   

Abstract

Black rot caused by Xanthomonas campestris pv. campestris (Xcc) is the most damaging disease in Brassica crops around the world. In this study, we developed a molecular marker specific to Xcc race 5. To do this, the available whole genome sequences of Xcc races/strains and Xc subspecies were aligned and identified a highly variable genomic region (XccR5-89.2). Subsequently, a primer set covering the 'XccR5-89.2' region was designed and tested against the genomic DNA of Xcc races/strains, Xc subspecies and other plant-infecting bacterial strains (Pseudomonas syringae pv. maculicola and Erwinia carotovora subsp. carotovora). The results showed that the 'XccR5-89.2' primer pair amplified a 2,172-bp fragment specific to Xcc race 5. Moreover, they also amplified a 1,515-bp fragment for Xcc race 1 and an over 3,000-bp fragment for Xcc race 3. However, they did not amplify any fragments from the remaining Xcc races/strains, subspecies or other bacterial strains. The 'XccR5-89.2' primer pair was further PCR amplified from race-unknown Xcc strains and ICMP8 was identified as race 5 among nine race-unknown Xcc strains. Further cloning and sequencing of the bands amplified from race 5 and ICMP8 with 'XccR5-89.2' primers revealed both carrying identical sequences. The results showed that the 'XccR5-89.2' marker can effectively and proficiently detect, and identify Xcc race 5 from Xcc races/strains, subspecies and other plant-infecting bacteria. To our knowledge, this is the first report for an Xcc race 5-specific molecular marker.

Entities:  

Keywords:  Xanthomonas campestris pv. campestris; black rot; cabbage; molecular marker; race 5

Mesh:

Substances:

Year:  2019        PMID: 31030456     DOI: 10.4014/jmb.1901.01050

Source DB:  PubMed          Journal:  J Microbiol Biotechnol        ISSN: 1017-7825            Impact factor:   2.351


  2 in total

1.  Prediction of PCR amplification from primer and template sequences using recurrent neural network.

Authors:  Kotetsu Kayama; Miyuki Kanno; Naoto Chisaki; Misaki Tanaka; Reika Yao; Kiwamu Hanazono; Gerry Amor Camer; Daiji Endoh
Journal:  Sci Rep       Date:  2021-04-05       Impact factor: 4.379

2.  Comparative Genomic Analysis of Xanthomonas campestris pv. campestris Isolates BJSJQ20200612 and GSXT20191014 Provides Novel Insights Into Their Genetic Variability and Virulence.

Authors:  Denghui Chen; Xionghui Zhong; Jian Cui; Hailong Li; Rui Han; Xiangqing Yue; Jianming Xie; Jungen Kang
Journal:  Front Microbiol       Date:  2022-03-02       Impact factor: 5.640

  2 in total

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