Automated Author Profile

Mehede H. Rubel

Current S-Index

2.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

3

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

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

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.

Authors

  • Mehede H. Rubel ;
  • MEHEDE H. RUBEL ;
  • Sathishkumar Natarajan ;
  • SATHISHKUMAR NATARAJAN ;
  • Hossain, Mohammad R. ;
  • MOHAMMAD R. HOSSAIN ;
  • Nath, Ujjal K. ;
  • UJJAL K. NATH ;
  • Khandker S. Afrin ;
  • KHANDKER S. AFRIN ;
  • Lee, Ji-Hee ;
  • JI-HEE LEE ;
  • Jung, Hee-Jeong ;
  • HEE-JEONG JUNG ;
  • Hoy-Taek Kim ;
  • HOY-TAEK KIM ;
  • Park, Jong-In ;
  • JONG-IN PARK ;
  • Ill-Sup Nou ;
  • ILL-SUP NOU
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.80639002019

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

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.

Authors

  • Mehede H. Rubel ;
  • Sathishkumar Natarajan ;
  • Hossain, Mohammad R. ;
  • Nath, Ujjal K. ;
  • Khandker S. Afrin ;
  • Lee, Ji-Hee ;
  • Jung, Hee-Jeong ;
  • Hoy-Taek Kim ;
  • Park, Jong-In ;
  • Ill-Sup Nou
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.8063900.v12019

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

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.

Authors

  • Mehede H. Rubel ;
  • MEHEDE H. RUBEL ;
  • Sathishkumar Natarajan ;
  • SATHISHKUMAR NATARAJAN ;
  • Hossain, Mohammad R. ;
  • MOHAMMAD R. HOSSAIN ;
  • Nath, Ujjal K. ;
  • UJJAL K. NATH ;
  • Khandker S. Afrin ;
  • KHANDKER S. AFRIN ;
  • Lee, Ji-Hee ;
  • JI-HEE LEE ;
  • Jung, Hee-Jeong ;
  • HEE-JEONG JUNG ;
  • Hoy-Taek Kim ;
  • HOY-TAEK KIM ;
  • Park, Jong-In ;
  • JONG-IN PARK ;
  • Ill-Sup Nou ;
  • ILL-SUP NOU
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.8063900.v22019