Developing Detection Methods for Tomato Diseases
Innovation to Support Food Availability
- DOI
- 10.2991/978-94-6463-028-2_17How to use a DOI?
- Keywords
- Food availability; Food security; Primer; TomA gene; Tomato
- Abstract
Plant mortality and reductions in yields caused by plant pathogens can affect food availability and food security. One of the most important bacterial diseases of tomatoes can be caused by Clavibacter michiganensis subsp. Michiganensis (Cmm). This pathogenic bacterium induced cancer and bacterial wilt that caused heavy losses of crops. Based on genomic analysis, the largest Cmm region contains a gene related to pathogenicity known as tomA. In tomato plants and other members of the Solanaceae, the tomA gene acts as a regulator of enzymes associated with the mechanism of disease infection. This study aims to optimize the detection and identification of Cmm by the polymerase chain reaction (PCR) method. Specific primers based on the tomA gene have been designed. Design and potential analysis of primer pairs were done using the Primer3Plus program. The program resulted in ten primer candidates. Analysis of primer parameters selected the best candidates for specific primers. Two specific primers for PCR were successfully synthesized and used in the tomA gene amplification process. Both primers generate 232 bp of PCR product in electrophoresis visualization. As an innovation in the accurate detection of tomato diseases involving Cmm, this pair of primers was highly recommended to be used.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Muslihah Nur Hidayati AU - Suranto Suranto AU - Ari Susilowati PY - 2022 DA - 2022/12/12 TI - Developing Detection Methods for Tomato Diseases BT - Proceedings of the International Symposium Southeast Asia Vegetable 2021 (SEAVEG 2021) PB - Atlantis Press SP - 137 EP - 144 SN - 2468-5747 UR - https://doi.org/10.2991/978-94-6463-028-2_17 DO - 10.2991/978-94-6463-028-2_17 ID - Hidayati2022 ER -