Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China
Fire blight, a devastating bacterial disease affecting Rosaceae plants, particularly pear and apple, has recently emerged in China’s Xinjiang Uyghur Autonomous Region, causing significant damage to the local <i>Pyrus sinkiangensis</i> industry. Phylogenetic analysis of identified <i&g...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/15/5/1065 |
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| Summary: | Fire blight, a devastating bacterial disease affecting Rosaceae plants, particularly pear and apple, has recently emerged in China’s Xinjiang Uyghur Autonomous Region, causing significant damage to the local <i>Pyrus sinkiangensis</i> industry. Phylogenetic analysis of identified <i>Erwinia amylovora</i> strains revealed that all eight Xinjiang isolates belonged to the A-genotype in CRR1 genotyping tests, aligning with findings from 53 strains isolated in Kazakhstan and Kyrgyzstan between 2011 and 2019. A quantitative PCR detection system based on the <i>trp</i> gene sequence was developed and optimized. The system performed optimally with primer concentrations of 200 nmol/L and an annealing temperature of 60 °C. The detection limits were established at 10<sup>2</sup> CFU/mL for bacterial suspensions and 0.05 pg/µL for bacterial DNA, demonstrating 100-fold greater sensitivity than conventional PCR. The system successfully detected <i>E</i>. <i>amylovora</i> in all 31 tested samples (25 symptomatic and six asymptomatic plant tissues), confirming the reliability of the detection method for pear fire blight. |
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| ISSN: | 2073-4395 |