Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field
Rapid climate change has increased the incidence of various pests and diseases, and these threaten global food security. In particular, BLB (bacterial leaf blight) is caused by <i>Xoo</i> (<i>Xanthomonas oryzae</i> pv. <i>oryzae</i>) and its main characteristic is...
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MDPI AG
2021-08-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/8/1630 |
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| author | Xiao-Xuan Du Jae-Ryoung Park Hyeree Kim Sm Abu Saleah Byoung-Ju Yun Mansik Jeon Kyung-Min Kim |
| author_facet | Xiao-Xuan Du Jae-Ryoung Park Hyeree Kim Sm Abu Saleah Byoung-Ju Yun Mansik Jeon Kyung-Min Kim |
| author_sort | Xiao-Xuan Du |
| collection | DOAJ |
| description | Rapid climate change has increased the incidence of various pests and diseases, and these threaten global food security. In particular, BLB (bacterial leaf blight) is caused by <i>Xoo</i> (<i>Xanthomonas oryzae</i> pv. <i>oryzae</i>) and its main characteristic is that the rice suddenly dries and withers. Recently, omics have been effectively used in agriculture. In particular, it is a key technology that can accurately diagnose diseases in the field. Until now, QTL (quantitative trait loci) mapping has been analyzed using only subjective phenotypic data by experts. However, in this study, diseases were accurately diagnosed using OCT (optical coherence tomography), and QTL mapping was performed using leaf thickness and leaf angles after <i>Xoo</i> inoculation. After <i>Xoo</i> inoculation of a 120 Cheongcheong/Nagdong double haploid (CNDH) population, QTL mapping was performed using the changing leaf angle, and OsWRKY34q1 was detected in RM811-RM14323 of chromosome 1. OsWRKY34q1 always had a higher expression level in the BLB-resistant population than in the susceptible population after <i>Xoo</i> inoculation. OsWRKY34q1 belongs to the WRKY family of genes. OsWRKY34q1 could be effectively used to develop BLB-resistant rice varieties in response to the current era of unpredictable climate change. |
| first_indexed | 2024-03-10T09:05:04Z |
| format | Article |
| id | doaj.art-30c79014cd734c6eb72f9596c26f1135 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T09:05:04Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-30c79014cd734c6eb72f9596c26f11352023-11-22T06:26:41ZengMDPI AGAgronomy2073-43952021-08-01118163010.3390/agronomy11081630Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the FieldXiao-Xuan Du0Jae-Ryoung Park1Hyeree Kim2Sm Abu Saleah3Byoung-Ju Yun4Mansik Jeon5Kyung-Min Kim6Division of Plant Biosciences, School of Applied Biosciences, College of Agriculture and Life Science, Kyungpook National University, Daegu 41566, KoreaDivision of Plant Biosciences, School of Applied Biosciences, College of Agriculture and Life Science, Kyungpook National University, Daegu 41566, KoreaSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, KoreaSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, KoreaSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, KoreaSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, KoreaDivision of Plant Biosciences, School of Applied Biosciences, College of Agriculture and Life Science, Kyungpook National University, Daegu 41566, KoreaRapid climate change has increased the incidence of various pests and diseases, and these threaten global food security. In particular, BLB (bacterial leaf blight) is caused by <i>Xoo</i> (<i>Xanthomonas oryzae</i> pv. <i>oryzae</i>) and its main characteristic is that the rice suddenly dries and withers. Recently, omics have been effectively used in agriculture. In particular, it is a key technology that can accurately diagnose diseases in the field. Until now, QTL (quantitative trait loci) mapping has been analyzed using only subjective phenotypic data by experts. However, in this study, diseases were accurately diagnosed using OCT (optical coherence tomography), and QTL mapping was performed using leaf thickness and leaf angles after <i>Xoo</i> inoculation. After <i>Xoo</i> inoculation of a 120 Cheongcheong/Nagdong double haploid (CNDH) population, QTL mapping was performed using the changing leaf angle, and OsWRKY34q1 was detected in RM811-RM14323 of chromosome 1. OsWRKY34q1 always had a higher expression level in the BLB-resistant population than in the susceptible population after <i>Xoo</i> inoculation. OsWRKY34q1 belongs to the WRKY family of genes. OsWRKY34q1 could be effectively used to develop BLB-resistant rice varieties in response to the current era of unpredictable climate change.https://www.mdpi.com/2073-4395/11/8/1630bacterial leaf blightricequantitative trait locusphenotypingoptical coherence tomography |
| spellingShingle | Xiao-Xuan Du Jae-Ryoung Park Hyeree Kim Sm Abu Saleah Byoung-Ju Yun Mansik Jeon Kyung-Min Kim Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field Agronomy bacterial leaf blight rice quantitative trait locus phenotyping optical coherence tomography |
| title | Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field |
| title_full | Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field |
| title_fullStr | Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field |
| title_full_unstemmed | Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field |
| title_short | Quantitative Trait Locus Analysis of Microscopic Phenotypic Characteristic Data Obtained Using Optical Coherence Tomography Imaging of Rice Bacterial Leaf Blight Infection in the Field |
| title_sort | quantitative trait locus analysis of microscopic phenotypic characteristic data obtained using optical coherence tomography imaging of rice bacterial leaf blight infection in the field |
| topic | bacterial leaf blight rice quantitative trait locus phenotyping optical coherence tomography |
| url | https://www.mdpi.com/2073-4395/11/8/1630 |
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