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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MDPI AG
2025-04-01
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| Series: | Agronomy |
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| author | Nuoya Fei Bo Song Jianpei Yan Haoyu Wei Tingchang Zhao Wei Guan Weiqin Ji Yuwen Yang |
| author_facet | Nuoya Fei Bo Song Jianpei Yan Haoyu Wei Tingchang Zhao Wei Guan Weiqin Ji Yuwen Yang |
| author_sort | Nuoya Fei |
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| description | 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. |
| format | Article |
| id | doaj-art-5acb84e82635498b9a37f8bdcaaab620 |
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| issn | 2073-4395 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| series | Agronomy |
| spelling | doaj-art-5acb84e82635498b9a37f8bdcaaab6202025-08-20T01:57:01ZengMDPI AGAgronomy2073-43952025-04-01155106510.3390/agronomy15051065Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, ChinaNuoya Fei0Bo Song1Jianpei Yan2Haoyu Wei3Tingchang Zhao4Wei Guan5Weiqin Ji6Yuwen Yang7College of Plant Protection, Northeast Agricultural University, Harbin 150030, ChinaInstitute of Plant Protection, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaCollege of Plant Protection, Northeast Agricultural University, Harbin 150030, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaFire 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.https://www.mdpi.com/2073-4395/15/5/1065fire blight<i>Erwinia amylovora</i>quantitative PCR analysisdetection |
| spellingShingle | Nuoya Fei Bo Song Jianpei Yan Haoyu Wei Tingchang Zhao Wei Guan Weiqin Ji Yuwen Yang Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China Agronomy fire blight <i>Erwinia amylovora</i> quantitative PCR analysis detection |
| title | Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China |
| title_full | Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China |
| title_fullStr | Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China |
| title_full_unstemmed | Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China |
| title_short | Phylogenetic Diversity and Quantitative PCR Detection of <i>Erwinia amylovora</i> in Xinjiang, China |
| title_sort | phylogenetic diversity and quantitative pcr detection of i erwinia amylovora i in xinjiang china |
| topic | fire blight <i>Erwinia amylovora</i> quantitative PCR analysis detection |
| url | https://www.mdpi.com/2073-4395/15/5/1065 |
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