Detection and identification of mulberry bacterial wilt and its pathogen using Fourier transform infrared spectra

LUO Jinyan; YANG Chunlan; CHEN Lei; WANG Li; MAO Shengfeng; LI Bin

doi:10.11833/j.issn.2095-0756.2015.04.013

Volume 32 Issue 4

Jul. 2015

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LUO Jinyan, YANG Chunlan, CHEN Lei, WANG Li, MAO Shengfeng, LI Bin. Detection and identification of mulberry bacterial wilt and its pathogen using Fourier transform infrared spectra[J]. Journal of Zhejiang A&F University, 2015, 32(4): 578-584. doi: 10.11833/j.issn.2095-0756.2015.04.013

Citation:

LUO Jinyan, YANG Chunlan, CHEN Lei, WANG Li, MAO Shengfeng, LI Bin. Detection and identification of mulberry bacterial wilt and its pathogen using Fourier transform infrared spectra[J]. Journal of Zhejiang A&F University, 2015, 32(4): 578-584. doi: 10.11833/j.issn.2095-0756.2015.04.013

Detection and identification of mulberry bacterial wilt and its pathogen using Fourier transform infrared spectra

doi: 10.11833/j.issn.2095-0756.2015.04.013

1.
Shanghai Extension and Service Center of Agriculture Technique, Shanghai 201103, China;
2.
Agricultural and Biotechnological College, Zhejiang University, Hangzhou 310058, Zhejiang, China;
3.
The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, School of Forestry and Biotechnology, Zhejiang A & F University, Lin’an 311300, Zhejiang, China

Funds:

上海市农业基础性研究项目［沪农科基字（2014）第2-7号］;国家自然科学基金资助项目（31371904）;浙江省自然科学基金资助项目（R13C140001，LY14C140005）;浙江省公益性技术应用研究计划项目（2014C32010）

Received Date: 2014-10-16
Rev Recd Date: 2014-12-01
Publish Date: 2015-08-20

Abstract

To rapidly identify a newly emerging mulberry wilt disease in Zhejiang Province, this study compared Fourier transform infrared （FTIR） spectra of Enterobacter mori and Ralstonia solanacearum, which cause similar disease symptoms on mulberry. First, FTIR spectra were taken on E. mori and R. solanacearum, and then a comparison of mulberry branches infected with and without E. mori was performed based on FTIR spectra. Results for E. mori and R. solanacearum in the 4 000.00 - 500.00 cm－1 region showed 5 similar peaks with 3 of the similar peaks differing in intensity. Peaks at 1 399.10 and 1 079.45 were specific to E. mori; whereas, peaks at 2 973.49, 1 724.42, 1 380.60, 1 278.67, 1 185.12, 1 132.03, 1 100.51, and 979.31 cm－1 were specific to R. solanacearum. The FTIR spectra for healthy and infected mulberry branches showed 5 similar peaks in the 4 000.00 - 500.00 cm－1 region with 4 of the similar peaks differing in intensity. Peaks at 1 643.92 and 1 407.31 cm－1 were specific to infected branches; whereas, peaks at 1 635.83, 1 506.36, 1 423.59, 1 374.97, 1 328.57, and 1 108.82 cm－1 were specific to healthy branches. This study indicated that Fourier transform infrared spectra could provide a simple, intuitive, and fast technology for rapid detection and identification of mulberry bacterial wilt. ［Ch, 2 fig. 3 tab. 19 ref.］
- plant protection,
- mulberry,
- Enterobacter mori,
- Ralstonia solanacearum,
- specific weak,
- FTIR

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Detection and identification of mulberry bacterial wilt and its pathogen using Fourier transform infrared spectra

1. Shanghai Extension and Service Center of Agriculture Technique, Shanghai 201103, China;

2. Agricultural and Biotechnological College, Zhejiang University, Hangzhou 310058, Zhejiang, China;

3. The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, School of Forestry and Biotechnology, Zhejiang A & F University, Lin’an 311300, Zhejiang, China

Funds:

Received Date: 2014-10-16

Rev Recd Date: 2014-12-01

Publish Date: 2015-08-20

Key words:

Abstract: To rapidly identify a newly emerging mulberry wilt disease in Zhejiang Province, this study compared Fourier transform infrared （FTIR） spectra of Enterobacter mori and Ralstonia solanacearum, which cause similar disease symptoms on mulberry. First, FTIR spectra were taken on E. mori and R. solanacearum, and then a comparison of mulberry branches infected with and without E. mori was performed based on FTIR spectra. Results for E. mori and R. solanacearum in the 4 000.00 - 500.00 cm－1 region showed 5 similar peaks with 3 of the similar peaks differing in intensity. Peaks at 1 399.10 and 1 079.45 were specific to E. mori; whereas, peaks at 2 973.49, 1 724.42, 1 380.60, 1 278.67, 1 185.12, 1 132.03, 1 100.51, and 979.31 cm－1 were specific to R. solanacearum. The FTIR spectra for healthy and infected mulberry branches showed 5 similar peaks in the 4 000.00 - 500.00 cm－1 region with 4 of the similar peaks differing in intensity. Peaks at 1 643.92 and 1 407.31 cm－1 were specific to infected branches; whereas, peaks at 1 635.83, 1 506.36, 1 423.59, 1 374.97, 1 328.57, and 1 108.82 cm－1 were specific to healthy branches. This study indicated that Fourier transform infrared spectra could provide a simple, intuitive, and fast technology for rapid detection and identification of mulberry bacterial wilt. ［Ch, 2 fig. 3 tab. 19 ref.］

Detection and identification of mulberry bacterial wilt and its pathogen using Fourier transform infrared spectra

doi: 10.11833/j.issn.2095-0756.2015.04.013

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

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