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Kan W, Chen L, Wang B, Liu L, Yin F, Zhong Q, Li J, Zhang D, Xiao S, Zhang Y, Jiang C, Yu T, Wang Y, Cheng Z. Examination of the Expression Profile of Resistance Genes in Yuanjiang Common Wild Rice ( Oryza rufipogon). Genes (Basel) 2024; 15:924. [PMID: 39062703 PMCID: PMC11275508 DOI: 10.3390/genes15070924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/13/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
The rice blight poses a significant threat to the rice industry, and the discovery of disease-resistant genes is a crucial strategy for its control. By exploring the rich genetic resources of Yuanjiang common wild rice (Oryza rufipogon) and analyzing their expression patterns, genetic resources can be provided for molecular rice breeding. The target genes' expression patterns, subcellular localization, and interaction networks were analyzed based on the annotated disease-resistant genes on the 9th and 10th chromosomes in the rice genome database using fluorescent quantitative PCR technology and bioinformatics tools. Thirty-three disease-resistant genes were identified from the database, including 20 on the 9th and 13 on the 10th. These genes were categorized into seven subfamilies of the NLR family, such as CNL and the G subfamily of the ABC family. Four genes were not expressed under the induction of the pathogen Y8, two genes were significantly down-regulated, and the majority were up-regulated. Notably, the expression levels of nine genes belonging to the ABCG, CN, and CNL classes were significantly up-regulated, yet the expression levels varied among roots, stems, and leaves; one was significantly expressed in the roots, one in the stems, and the remaining seven were primarily highly expressed in the leaves. Two interaction network diagrams were predicted based on the seven highly expressed genes in the leaves: complex networks regulated by CNL proteins and specific networks controlled by ABCG proteins. The disease-resistant genes on the 9th chromosome are actively expressed in response to the induction of rice blight, forming a critical gene pool for the resistance of Yuanjiang common wild rice (O. rufipogon) to rice blight. Meanwhile, the disease-resistant genes on the 10th chromosome not only participate in resisting the rice blight pathogen but may also be involved in the defense against other stem diseases.
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Affiliation(s)
- Wang Kan
- College of Plant Protection, Yunnan Agricultural University, Kunming 650224, China;
| | - Ling Chen
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Bo Wang
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Li Liu
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Fuyou Yin
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Qiaofang Zhong
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Jinlu Li
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Dunyu Zhang
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Suqin Xiao
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Yun Zhang
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Cong Jiang
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Tengqiong Yu
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
| | - Yunyue Wang
- College of Plant Protection, Yunnan Agricultural University, Kunming 650224, China;
| | - Zaiquan Cheng
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Lab of Agricultural Biotechnology/Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming 650205, China; (L.C.); (B.W.); (L.L.); (F.Y.); (Q.Z.); (J.L.); (D.Z.); (S.X.); (Y.Z.); (C.J.); (T.Y.)
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Gao M, Hao Z, Ning Y, He Z. Revisiting growth-defence trade-offs and breeding strategies in crops. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1198-1205. [PMID: 38410834 PMCID: PMC11022801 DOI: 10.1111/pbi.14258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/02/2023] [Accepted: 11/20/2023] [Indexed: 02/28/2024]
Abstract
Plants have evolved a multi-layered immune system to fight off pathogens. However, immune activation is costly and is often associated with growth and development penalty. In crops, yield is the main breeding target and is usually affected by high disease resistance. Therefore, proper balance between growth and defence is critical for achieving efficient crop improvement. This review highlights recent advances in attempts designed to alleviate the trade-offs between growth and disease resistance in crops mediated by resistance (R) genes, susceptibility (S) genes and pleiotropic genes. We also provide an update on strategies for optimizing the growth-defence trade-offs to breed future crops with desirable disease resistance and high yield.
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Affiliation(s)
- Mingjun Gao
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science and Institute of Eco‐Chongming, School of Life SciencesFudan UniversityShanghaiChina
| | - Zeyun Hao
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Yuese Ning
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Zuhua He
- CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghaiChina
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Costa J, Pothier JF, Bosis E, Boch J, Kölliker R, Koebnik R. A Community-Curated DokuWiki Resource on Diagnostics, Diversity, Pathogenicity, and Genetic Control of Xanthomonads. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2024; 37:347-353. [PMID: 38114082 DOI: 10.1094/mpmi-11-23-0184-fi] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Xanthomonads, including Xanthomonas and Xylella species, constitute a large and significant group of economically and ecologically important plant pathogens. Up-to-date knowledge of these pathogens and their hosts is essential for the development of suitable control measures. Traditional review articles or book chapters have inherent limitations, including static content and rapid obsolescence. To address these challenges, we have developed a Web-based knowledge platform dedicated to xanthomonads, inspired by the concept of living systematic reviews. This platform offers a dynamic resource that encompasses bacterial virulence factors, plant resistance genes, and tools for diagnostics and genetic diversity studies. Our goal is to facilitate access for newcomers to the field, provide continuing education opportunities for students, assist plant protection services with diagnostics, provide valuable information to breeders on sources of resistance and breeding targets, and offer comprehensive expert knowledge to other stakeholders interested in plant-pathogenic xanthomonads. This resource is available for queries and updates at https://euroxanth.ipn.pt. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Affiliation(s)
- Joana Costa
- University of Coimbra, Centre for Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, Coimbra, Portugal
- Laboratory for Phytopathology, Instituto Pedro Nunes, Coimbra, Portugal
| | - Joël F Pothier
- Environmental Genomics and Systems Biology Research Group, Institute of Natural Resource Sciences, Zurich University of Applied Sciences (ZHAW), Wädenswil, Switzerland
| | - Eran Bosis
- Department of Biotechnology Engineering, Braude College of Engineering, Karmiel, Israel
| | - Jens Boch
- Institute of Plant Genetics, Leibniz Universität Hannover, Hannover, Germany
| | - Roland Kölliker
- Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland
| | - Ralf Koebnik
- Plant Health Institute of Montpellier, University of Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
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Luo H, Wang Q, Dong C, Shi Z, He C, Guo Z, Shi J, Li C, Gao W, Li J. Establishment of Functional PCR-Based Markers against Bacterial Leaf Blight Disease in Rice Landraces of Yunnan Province of China. Life (Basel) 2023; 13:2101. [PMID: 37895481 PMCID: PMC10608166 DOI: 10.3390/life13102101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Bacterial leaf blight is a devastating disease of rice worldwide. The resistant genes are routinely transferred from landraces to cultivated varieties through backcross breeding along with marker-assisted selection. In the present study, we use the gene-specific markers to screen the rice landraces in Yunnan Province of China. We collected 404 representative samples of 24 different rice landraces from Yunnan Province of China. The initial PCR-based screening suggested that the leaf blight resistance was not evenly distributed in Yunnan Province. Our results indicate that there is a complete loss of resistance for landraces based on xa5 and xa13 genes. On the other hand, landraces harboring Xa7 and Xa21 showed a high level of resistance. Using gene-specific PCR-based data, we were able to identify the resistant, susceptible and heterozygous populations across Yunnan Province. The widely used Xa21 gene alone showed a remarkable level of resistance throughout the province, indicating its potential to develop broad-spectrum resistance in rice germplasm. The key aspects of bacterial blight spread according to local sites in Yunnan Province and the resistance conferred by different landraces due to the presence of different resistance genes are discussed.
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Affiliation(s)
- Hengming Luo
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Qun Wang
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Chao Dong
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China;
- Yunnan Seed Laboratory, Kunming 650205, China
- Yunnan Provincial Key Lab of Agricultural Biotechnology, Kunming 650205, China
- Key Laboratory of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture and Rural Affairs, Kunming 650205, China
- Scientific Observation Station for Rice Germplasm Resources of Yunnan, Ministry of Agriculture and Rural Affairs, Kunming 650205, China
| | - Zhufeng Shi
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Chengxing He
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Zhixiang Guo
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Junyi Shi
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Chun Li
- Wenshan Plant Protection and Quarantine Station, Wenshan 663099, China; (C.L.); (W.G.)
| | - Wei Gao
- Wenshan Plant Protection and Quarantine Station, Wenshan 663099, China; (C.L.); (W.G.)
| | - Jinbin Li
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
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5
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Joshi A, Song HG, Yang SY, Lee JH. Integrated Molecular and Bioinformatics Approaches for Disease-Related Genes in Plants. PLANTS (BASEL, SWITZERLAND) 2023; 12:2454. [PMID: 37447014 DOI: 10.3390/plants12132454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/15/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023]
Abstract
Modern plant pathology relies on bioinformatics approaches to create novel plant disease diagnostic tools. In recent years, a significant amount of biological data has been generated due to rapid developments in genomics and molecular biology techniques. The progress in the sequencing of agriculturally important crops has made it possible to develop a better understanding of plant-pathogen interactions and plant resistance. The availability of host-pathogen genome data offers effective assistance in retrieving, annotating, analyzing, and identifying the functional aspects for characterization at the gene and genome levels. Physical mapping facilitates the identification and isolation of several candidate resistance (R) genes from diverse plant species. A large number of genetic variations, such as disease-causing mutations in the genome, have been identified and characterized using bioinformatics tools, and these desirable mutations were exploited to develop disease resistance. Moreover, crop genome editing tools, namely the CRISPR (clustered regulatory interspaced short palindromic repeats)/Cas9 (CRISPR-associated) system, offer novel and efficient strategies for developing durable resistance. This review paper describes some aspects concerning the databases, tools, and techniques used to characterize resistance (R) genes for plant disease management.
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Affiliation(s)
- Alpana Joshi
- Department of Bioenvironmental Chemistry, College of Agriculture & Life Sciences, Jeonbuk National University, Jeonju 54896, Republic of Korea
- Department of Agriculture Technology & Agri-Informatics, Shobhit Institute of Engineering & Technology, Meerut 250110, India
| | - Hyung-Geun Song
- Department of Bioenvironmental Chemistry, College of Agriculture & Life Sciences, Jeonbuk National University, Jeonju 54896, Republic of Korea
| | - Seo-Yeon Yang
- Department of Agricultural Chemistry, Jeonbuk National University, Jeonju 54896, Republic of Korea
| | - Ji-Hoon Lee
- Department of Bioenvironmental Chemistry, College of Agriculture & Life Sciences, Jeonbuk National University, Jeonju 54896, Republic of Korea
- Department of Agricultural Chemistry, Jeonbuk National University, Jeonju 54896, Republic of Korea
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Li J, Shi X, Wang C, Li Q, Lu J, Zeng D, Xie J, Shi Y, Zhai W, Zhou Y. Genome-Wide Association Study Identifies Resistance Loci for Bacterial Blight in a Collection of Asian Temperate Japonica Rice Germplasm. Int J Mol Sci 2023; 24:ijms24108810. [PMID: 37240156 DOI: 10.3390/ijms24108810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/29/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Growing resistant rice cultivars is the most effective strategy to control bacterial blight (BB), a devastating disease caused by Xanthomonas oryzae pv. oryzae (Xoo). Screening resistant germplasm and identifying resistance (R) genes are prerequisites for breeding resistant rice cultivars. We conducted a genome-wide association study (GWAS) to detect quantitative trait loci (QTL) associated with BB resistance using 359 East Asian temperate Japonica accessions inoculated with two Chinese Xoo strains (KS6-6 and GV) and one Philippine Xoo strain (PXO99A). Based on the 55K SNPs Array dataset of the 359 Japonica accessions, eight QTL were identified on rice chromosomes 1, 2, 4, 10, and 11. Four of the QTL coincided with previously reported QTL, and four were novel loci. Six R genes were localized in the qBBV-11.1, qBBV-11.2, and qBBV-11.3 loci on chromosome 11 in this Japonica collection. Haplotype analysis revealed candidate genes associated with BB resistance in each QTL. Notably, LOC_Os11g47290 in qBBV-11.3, encoding a leucine-rich repeat receptor-like kinase, was a candidate gene associated with resistance to the virulent strain GV. Knockout mutants of Nipponbare with the susceptible haplotype of LOC_Os11g47290 exhibited significantly improved BB resistance. These results will be useful for cloning BB resistance genes and breeding resistant rice cultivars.
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Affiliation(s)
- Jianmin Li
- National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China
| | - Xiaorong Shi
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Chunchao Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Quanlin Li
- Institute of Genetics and Developmental Biological, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Jialing Lu
- National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Dan Zeng
- National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Junping Xie
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Yingyao Shi
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Wenxue Zhai
- Institute of Genetics and Developmental Biological, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Yongli Zhou
- National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China
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Hou Y, Liang Y, Yang C, Ji Z, Zeng Y, Li G, E Z. Complete Genomic Sequence of Xanthomonas oryzae pv. oryzae Strain, LA20, for Studying Resurgence of Rice Bacterial Blight in the Yangtze River Region, China. Int J Mol Sci 2023; 24:ijms24098132. [PMID: 37175839 PMCID: PMC10179132 DOI: 10.3390/ijms24098132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/25/2023] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
Xanthomonas oryzae pv. oryzae (Xoo) is a causative agent of rice bacterial blight (BB). In 2020-2022, BB re-emerged, and there was a break out in the Yangtze River area, China. The pandemic Xoo strain, LA20, was isolated and identified from cultivar Quanyou1606 and demonstrated to be the Chinese R9 Xoo strain, which is able to override the widely adopted xa5-, Xa7- and xa13-mediated resistance in rice varieties in Yangtze River. Here, we report the complete genome of LA20 by PacBio and Illumina sequencing. The assembled genome consists of one circular chromosome of 4,960,087 bp, sharing 99.65% sequence identity with the traditional representative strain, YC11 (R5), in the Yangtze River. Comparative genome analysis of LA20 and YC11 revealed the obvious variability in Tal genes (the uppermost virulence determinants) in numbers and sequences. Particularly, six Tal genes were only found in LA20, but not in YC11, among which Tal1b (pthXo1)/Tal4 (pthXo6), along with the lost one, pthXo3 (avrXa7), might be the major factors for LA20 to overcome xa5-, Xa7- and xa13-mediated resistance, thus, leading to the resurgence of BB. This complete genome of the new pandemic Xoo strain will provide novel insights into pathogen evolution, the traits of pathogenicity on genomic level and the epidemic disease status in China.
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Affiliation(s)
- Yuxuan Hou
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
| | - Yan Liang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
| | - Changdeng Yang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
| | - Zhijuan Ji
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
| | - Yuxiang Zeng
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
| | - Guanghao Li
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
| | - Zhiguo E
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
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Bai X, Fang H, He Y, Zhang J, Tao M, Wu Q, Yang G, Wei Y, Tang Y, Tang L, Lou B, Deng S, Yang Y, Feng X. Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0019. [PMID: 37040287 PMCID: PMC10076055 DOI: 10.34133/plantphenomics.0019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 12/09/2022] [Indexed: 05/27/2023]
Abstract
Bacterial blight poses a threat to rice production and food security, which can be controlled through large-scale breeding efforts toward resistant cultivars. Unmanned aerial vehicle (UAV) remote sensing provides an alternative means for the infield phenotype evaluation of crop disease resistance to relatively time-consuming and laborious traditional methods. However, the quality of data acquired by UAV can be affected by several factors such as weather, crop growth period, and geographical location, which can limit their utility for the detection of crop disease and resistant phenotypes. Therefore, a more effective use of UAV data for crop disease phenotype analysis is required. In this paper, we used time series UAV remote sensing data together with accumulated temperature data to train the rice bacterial blight severity evaluation model. The best results obtained with the predictive model showed an R p 2 of 0.86 with an RMSEp of 0.65. Moreover, model updating strategy was used to explore the scalability of the established model in different geographical locations. Twenty percent of transferred data for model training was useful for the evaluation of disease severity over different sites. In addition, the method for phenotypic analysis of rice disease we built here was combined with quantitative trait loci (QTL) analysis to identify resistance QTL in genetic populations at different growth stages. Three new QTLs were identified, and QTLs identified at different growth stages were inconsistent. QTL analysis combined with UAV high-throughput phenotyping provides new ideas for accelerating disease resistance breeding.
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Affiliation(s)
- Xiulin Bai
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Hui Fang
- Huzhou Institute of Zhejiang University, Huzhou 313000, China
| | - Yong He
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Jinnuo Zhang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Mingzhu Tao
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Qingguan Wu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Guofeng Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yuzhen Wei
- School of Information Engineering, Huzhou University, Huzhou 313000, China
| | - Yu Tang
- Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou 510665, China
| | - Lie Tang
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011-3270, USA
| | - Binggan Lou
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Shuiguang Deng
- College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China
| | - Yong Yang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology for Plant Protection, Ministry of Agriculture, and Rural Affairs, Zhejiang Provincial Key Laboratory of Biotechnology for Plant Protection, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou 31002, China
| | - Xuping Feng
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
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Bai X, Zhou Y, Feng X, Tao M, Zhang J, Deng S, Lou B, Yang G, Wu Q, Yu L, Yang Y, He Y. Evaluation of rice bacterial blight severity from lab to field with hyperspectral imaging technique. FRONTIERS IN PLANT SCIENCE 2022; 13:1037774. [PMID: 36340356 PMCID: PMC9627309 DOI: 10.3389/fpls.2022.1037774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
Hyperspectral imaging technique combined with machine learning is a powerful tool for the evaluation of disease phenotype in rice disease-resistant breeding. However, the current studies are almost carried out in the lab environment, which is difficult to apply to the field environment. In this paper, we used visible/near-infrared hyperspectral images to analysis the severity of rice bacterial blight (BB) and proposed a novel disease index construction strategy (NDSCI) for field application. A designed long short-term memory network with attention mechanism could evaluate the BB severity robustly, and the attention block could filter important wavelengths. Best results were obtained based on the fusion of important wavelengths and color features with an accuracy of 0.94. Then, NSDCI was constructed based on the important wavelength and color feature related to BB severity. The correlation coefficient of NDSCI extended to the field data reached -0.84, showing good scalability. This work overcomes the limitations of environmental conditions and sheds new light on the rapid measurement of phenotype in disease-resistant breeding.
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Affiliation(s)
- Xiulin Bai
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Yujie Zhou
- Zhuji Agricultural Technology Extension Center, Zhuji, China
| | - Xuping Feng
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Mingzhu Tao
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Jinnuo Zhang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Shuiguang Deng
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
| | - Binggan Lou
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Guofeng Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Qingguan Wu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Li Yu
- Agricultural Experiment Station & Agricultural Sci-Tech Park Management Committee, Zhejiang University, Hangzhou, China
| | - Yong Yang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology for Plant Protection, Ministry of Agriculture, and Rural Affairs, Zhejiang Provincial Key Laboratory of Biotechnology for Plant Protection, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
| | - Yong He
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
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OsASR6 Alleviates Rice Resistance to Xanthomonas oryzae via Transcriptional Suppression of OsCIPK15. Int J Mol Sci 2022; 23:ijms23126622. [PMID: 35743079 PMCID: PMC9223573 DOI: 10.3390/ijms23126622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/11/2022] [Accepted: 06/13/2022] [Indexed: 12/04/2022] Open
Abstract
The plant-specific ASR (abscisic acid, stress and ripening) transcription factors are pivotal regulators of plant responses to abiotic stresses. However, their functions in plant disease resistance remain largely unknown. In this study, we revealed the role of OsASR6 in rice plants’ resistance to two important bacterial diseases caused by Xanthomonas oryzae pv. oryzae (Xoo) and X. oryzae pv. oryzicola (Xoc) and elucidated the mechanisms underlying OsASR6-regulated resistance. The expression of OsASR6 was strongly elevated in response to both Xoo and Xoc challenges. Silencing of OsASR6 in OsASR6-RNAi transgenic plants markedly enhanced rice resistance to the two bacterial pathogens. Moreover, comparative transcriptome analyses for OsASR6-RNAi and wild-type plants inoculated and uninoculated with Xoc demonstrated that OsASR6 suppressed rice resistance to Xoc by comprehensively fine-tuning CIPK15- and WRKY45-1-mediated immunity, SA signaling and redox homeostasis. Further luciferase reporter assays confirmed that OsASR6 negatively regulated CIPK15 but not WRKY45-1 expression in planta. Overexpression of OsCIPK15 strongly enhanced rice resistance to Xoo and Xoc. Collectively, these results reveal that OsASR6 alleviates rice resistance through the transcriptional suppression of OsCIPK15, and thus links calcium signaling to rice resistance against X. oryzae. Our findings provide insight into the mechanisms underlying OsASR6-mediated regulation of rice resistance to X. oryzae.
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