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Dataset . 2019
License: CC BY
Data sources: Datacite
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Pathovar specific molecular detection of Xanthomonas campestris pv. campestris, the causal agent of black rot disease in cabbage

Authors: Mehede H. Rubel; Sathishkumar Natarajan; Hossain, Mohammad R.; Nath, Ujjal K.; Khandker S. Afrin; Lee, Ji-Hee; Jung, Hee-Jeong; +3 Authors

Pathovar specific molecular detection of Xanthomonas campestris pv. campestris, the causal agent of black rot disease in cabbage

Abstract

Various pathovars (pv.) of Xanthomonas campestris (Xc) are prevalent in South Korea, of which pv. campestris causing black rot threatens the production of cabbage in this major cabbage producing country of the world. Rapid and sensitive detection of the pathovar is an essential prerequisite for any plant protection programme. This study took an approach of re-aligning the whole genome sequences (upon availability) of representative strains of the bacteria and identified pathovar-specific genomic regions that are absent in other pathovars and other bacterial strains. Herein, eight Sequence Characterized Amplified Regions (SCAR) primer sets were designed, of which three sets, namely Xcc_48F/R, Xcc_53F/R and Xcc_79F/R, specifically amplified all Xcc strains and did not amplify other pathovars and bacterial strains. These primers also detected the Xcc strains collected from black rot infected field samples in South Korea. After optimizing the PCR conditions, one of the primers, Xcc_48F/R, was able to amplify as low as 6 × 10−3 ng μL−1 bacterial DNA. This unique method of marker development thus yielded sensitive, specific and reliable markers that can be used for efficient and inexpensive detection of Xcc for purposes including quarantine and disease forecasting by early detection from asymptomatic field samples. Additionally, the method can be replicated in developing markers from other phyto-pathogenic agents for which the variable genomic regions are not known.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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