Your browser doesn't support javascript.
loading
Quantitative detection of the Ralstonia solanacearum species complex in soil by qPCR combined with a recombinant internal control strain.
Chen, Wei; Zhang, Jun-Wei; Qin, Bi-Xia; Xie, Hui-Ting; Zhang, Zhi; Qiao, Xiu-Ze; Li, Shan-Kui; Asif, Muhammad; Guo, Song; Cui, Li-Xian; Wang, Pei-Pei; Dong, Li-Hong; Guo, Qing-Gang; Jiang, Wen-Jun; Ma, Ping; Xia, Zhen-Yuan; Lu, Can-Hua; Zhang, Li-Qun.
Afiliación
  • Chen W; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Zhang J-W; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Qin B-X; Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests , Xixiangtang District, Nanning, China.
  • Xie H-T; Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests , Xixiangtang District, Nanning, China.
  • Zhang Z; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Qiao X-Z; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Li S-K; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Asif M; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Guo S; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Cui L-X; Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests , Xixiangtang District, Nanning, China.
  • Wang P-P; Institute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
  • Dong L-H; Institute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
  • Guo Q-G; Institute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
  • Jiang W-J; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
  • Ma P; Institute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
  • Xia Z-Y; Yunnan Academy of Tobacco Agricultural Sciences , Wuhua District, Kunming, China.
  • Lu C-H; Yunnan Academy of Tobacco Agricultural Sciences , Wuhua District, Kunming, China.
  • Zhang L-Q; Ministry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Microbiol Spectr ; 11(6): e0021023, 2023 Dec 12.
Article en En | MEDLINE | ID: mdl-37966217
ABSTRACT
IMPORTANCE DNA-based detection and quantification of soil-borne pathogens, such as the Ralstonia solanacearum species complex (RSSC), plays a vital role in risk assessment, but meanwhile, precise quantification is difficult due to the poor purity and yield of the soil DNA retrieved. The internal sample process control (ISPC) strain RsPC we developed solved this problem and significantly improved the accuracy of quantification of RSSC in different soils. ISPC-based quantitative PCR detection is a method especially suitable for the quantitative detection of microbes in complex matrices (such as soil and sludge) containing various PCR inhibitors and for those not easy to lyse (like Gram-positive bacteria, fungi, and thick-wall cells like resting spores). In addition, the use of ISPC strains removes additional workload on the preparation of high-quality template DNA and facilitates the development of high-throughput quantitative detection techniques for soil microbes.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ralstonia solanacearum Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ralstonia solanacearum Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article País de afiliación: China
...