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Zhang Z, Fu Y, Huang J, Peng Y, Zhou X, Gao H, Wang B, Li Q. Genetic Analysis Reveals Relationships Among Populations of Puccinia striiformis f. sp. tritici from Shaanxi-Gansu-Ningxia-Xinjiang of Northwestern and Sichuan-Yunnan of Southwestern China. PLANT DISEASE 2024; 108:1659-1669. [PMID: 38128078 DOI: 10.1094/pdis-09-23-1852-re] [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: 12/23/2023]
Abstract
Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most destructive diseases worldwide. In China, wheat stripe rust generally occurs in the northwestern and southwestern regions; however, the genetic relationships of Pst populations between these regions are largely unclear. To determine the population structure and potential migration route in these regions, 235 isolates collected from Xinjiang (XJ), Gansu (GS), Ningxia (NX), Shaanxi (SX), Sichuan (SC), and Yunnan (YN) provinces in 2021 and 2022 were phenotyped using two sets of Pst differentials and genotyped using 20 competitive allele-specific PCR-single nucleotide polymorphism (KASP-SNP) markers. The phenotype tests indicated that CYR34, CYR32, and CYR33 were the predominant races with different occurrence frequencies in different regions and years. Genotypic analysis revealed that a total of 183 multilocus genotypes were identified, and the genetic diversity in the YN subpopulation was the highest. The genetic background in the SX subpopulation was similar to that in the GS and NX subpopulations, and the genetic background in the YN subpopulation was similar to that in the SC and SX subpopulations. A high level of gene flow (Nm) was found between the SX and GS, SX and NX, GS and NX, and SC and YN subpopulations, suggesting the migration of Pst among these regions, while a small amount of Nm existed between the SX and SC subpopulations. SC may serve as a bridge connecting Pst subpopulations between the northwestern provinces (SX, GS, and NX) and the southwestern provinces (SC and YN). With a relatively high genetic distance and low Nm values compared with other Pst subpopulations, XJ is considered a relatively independent epidemiological region in China. These results improved our current understanding of the wheat stripe rust epidemic in northwestern and southwestern regions of China.
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Affiliation(s)
- Zhuoyue Zhang
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yanzi Fu
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jie Huang
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yunliang Peng
- Institute of Plant Protection, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan 610066, China
| | - Xinli Zhou
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China
| | - Haifeng Gao
- Institute of Plant Protection, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
| | - Baotong Wang
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qiang Li
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
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Gebremariam TG, Wang F, Lin R, Li H. Comparative Analysis of Virulence and Molecular Diversity of Puccinia striiformis f. sp. tritici Isolates Collected in 2016 and 2023 in the Western Region of China. Genes (Basel) 2024; 15:542. [PMID: 38790172 PMCID: PMC11121451 DOI: 10.3390/genes15050542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 04/15/2024] [Accepted: 04/20/2024] [Indexed: 05/26/2024] Open
Abstract
Puccinia striiformis f. sp. tritici (Pst) is adept at overcoming resistance in wheat cultivars, through variations in virulence in the western provinces of China. To apply disease management strategies, it is essential to understand the temporal and spatial dynamics of Pst populations. This study aimed to evaluate the virulence and molecular diversity of 84 old Pst isolates, in comparison to 59 newer ones. By using 19 Chinese wheat differentials, we identified 98 pathotypes, showing virulence complexity ranging from 0 to 16. Associations between 23 Yr gene pairs showed linkage disequilibrium and have the potential for gene pyramiding. The new Pst isolates had a higher number of polymorphic alleles (1.97), while the older isolates had a slightly higher number of effective alleles, Shannon's information, and diversity. The Gansu Pst population had the highest diversity (uh = 0.35), while the Guizhou population was the least diverse. Analysis of molecular variance revealed that 94% of the observed variation occurred within Pst populations across the four provinces, while 6% was attributed to differences among populations. Overall, Pst populations displayed a higher pathotypic diversity of H > 2.5 and a genotypic diversity of 96%. This underscores the need to develop gene-pyramided cultivars to enhance the durability of resistance.
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Affiliation(s)
- Tesfay Gebrekirstos Gebremariam
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
- Tigray Agricultural Research Institute, Mekelle P.O. Box 492, Ethiopia
| | - Fengtao Wang
- State Key Laboratory for Biology of Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
| | - Ruiming Lin
- State Key Laboratory for Biology of Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
| | - Hongjie Li
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
- Institute of Biotechnology, Xianghu Laboratory, Hangzhou 311231, China
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Hu X, Fu S, Li Y, Xu X, Hu X. Dynamics of Puccinia striiformis f. sp. tritici Urediniospores in Longnan, a Critical Oversummering Region of China. PLANT DISEASE 2023; 107:3155-3163. [PMID: 37163309 DOI: 10.1094/pdis-02-23-0237-re] [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: 05/11/2023]
Abstract
Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici Erikss. (Pst), is a devastating disease resulting in yield reduction. Because the temperature limits the overwintering and oversummering of Pst, it cannot complete the whole year cycle in most areas of China. Longnan, located in the southeast of Gansu Province, is one of the annual cycle areas of Pst, which can supply urediniospores in autumn to eastern wheat-growing areas in China. In this study, a TaqMan real-time quantitative PCR (TaqMan-qPCR) detection system for Pst urediniospores was established, and the detection limit was a single urediniospore. The dynamics of Pst urediniospores in Longnan were monitored by spore trapping and TaqMan-qPCR for 3 years. Meanwhile, the meteorological conditions including air temperature, relative humidity, and precipitation were recorded. Results showed that Pst urediniospores can be captured from March to December, and two peaks of urediniospore density appeared in May and June, respectively. The density of urediniospore is closely related to temperature and precipitation from March to June. In addition, we found that the density of Pst urediniospore had the peak value when the average air temperature was 10 to 21°C, and the relative humidity was 60 to 85% from May to June. The exponential model could describe the variation of Pst urediniospore density based on average temperature and precipitation from March to June. It is worth mentioning that the exponential model based on average temperature 7 days before spore capture has a great advantage in predicting the urediniospore density in the air. This study laid a foundation for establishment of a prediction model for wheat stripe rust based on the density of urediniospores and meteorological factors.
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Affiliation(s)
- Xuemin Hu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, China
| | - Songping Fu
- Tianshui Station of Plant Protection and Quarantine, Tianshui, Gansu 741020, China
| | - Yuxiang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, China
| | - Xiangming Xu
- Pest & Pathogen Ecology, NIAB, West Malling, Kent ME19 6BJ, U.K
| | - Xiaoping Hu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, China
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Li Y, Dai J, Zhang T, Wang B, Zhang S, Wang C, Zhang J, Yao Q, Li M, Li C, Peng Y, Cao S, Zhan G, Tao F, Gao H, Huang W, Feng X, Bai Y, Qucuo Z, Shang H, Huang C, Liu W, Zhan J, Xu X, Chen X, Kang Z, Hu X. Genomic analysis, trajectory tracking, and field surveys reveal sources and long-distance dispersal routes of wheat stripe rust pathogen in China. PLANT COMMUNICATIONS 2023:100563. [PMID: 36809881 PMCID: PMC10363508 DOI: 10.1016/j.xplc.2023.100563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 01/08/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Identifying sources of phytopathogen inoculum and determining their contributions to disease outbreaks are essential for predicting disease development and establishing control strategies. Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat stripe rust, is an airborne fungal pathogen with rapid virulence variation that threatens wheat production through its long-distance migration. Because of wide variation in geographic features, climatic conditions, and wheat production systems, Pst sources and related dispersal routes in China are largely unclear. In the present study, we performed genomic analyses of 154 Pst isolates from all major wheat-growing regions in China to determine Pst population structure and diversity. Through trajectory tracking, historical migration studies, genetic introgression analyses, and field surveys, we investigated Pst sources and their contributions to wheat stripe rust epidemics. We identified Longnan, the Himalayan region, and the Guizhou Plateau, which contain the highest population genetic diversities, as the Pst sources in China. Pst from Longnan disseminates mainly to eastern Liupan Mountain, the Sichuan Basin, and eastern Qinghai; that from the Himalayan region spreads mainly to the Sichuan Basin and eastern Qinghai; and that from the Guizhou Plateau migrates mainly to the Sichuan Basin and the Central Plain. These findings improve our current understanding of wheat stripe rust epidemics in China and emphasize the need for managing stripe rust on a national scale.
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Affiliation(s)
- Yuxiang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Jichen Dai
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Taixue Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Baotong Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Siyue Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Conghao Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Jiguang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Qiang Yao
- Key Laboratory of Agricultural Integrated Pest Management, Qinghai Province, Academy of Agriculture and Forestry Science, Qinghai University, Xining, Qinghai, China
| | - Mingju Li
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Agricultural Environment and Resource Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, China
| | - Chengyun Li
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yuelin Peng
- Department of Plant Pathology, Tibet Agricultural and Animal Husbandry College, Linzhi, Tibet, China
| | - Shiqin Cao
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, China
| | - Gangming Zhan
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Fei Tao
- Biocontrol Engineering Laboratory of Crop Diseases and Pests of Gansu Province, College of Plant Protection, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Haifeng Gao
- Institute of Plant Protection, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Weili Huang
- Xi'an Huang's Bio-technology Company Ltd, Xi'an, Shaanxi, China
| | - Xiaojun Feng
- Shaanxi Plant Protection Extension Station, Xi'an, Shaanxi, China
| | - Yingwen Bai
- Baoji Plant Protection Extension Station, Baoji, Shaanxi, China
| | - Zhuoma Qucuo
- Department of Plant Pathology, Tibet Agricultural and Animal Husbandry College, Linzhi, Tibet, China
| | - Hongsheng Shang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China
| | - Chong Huang
- National Agricultural Technology Extension and Service Center, Ministry of Agriculture, Beijing, China
| | - Wancai Liu
- National Agricultural Technology Extension and Service Center, Ministry of Agriculture, Beijing, China
| | - Jiasui Zhan
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Xiangming Xu
- Pest & Pathogen Ecology, NIAB EMR, East Malling, West Malling, Kent, UK
| | - Xianming Chen
- Agricultural Research Service, United States Department of Agriculture and Department of Plant Pathology, Washington State University, Pullman, WA, USA
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China.
| | - Xiaoping Hu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, China.
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Jiang B, Wang C, Guo C, Lv X, Gong W, Chang J, He H, Feng J, Chen X, Ma Z. Genetic Relationships of Puccinia striiformis f. sp. tritici in Southwestern and Northwestern China. Microbiol Spectr 2022; 10:e0153022. [PMID: 35894618 PMCID: PMC9430570 DOI: 10.1128/spectrum.01530-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/08/2022] [Indexed: 12/03/2022] Open
Abstract
Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a crucial disease for wheat worldwide and constantly threatens wheat production in southwestern and northwestern China, where the environment is a good fit for Pst oversummering and overwintering. However, the underlying genetic dynamics of spring epidemic Pst populations across large areas of continuous planting in the southwestern and northwestern regions are poorly understood. A total of 2,103 Pst isolates were sampled in the spring of 2019 from the two agroecosystems and grouped into three horizontal spatial scales (countywide, provincial, and regional subpopulations) and two vertical spatial scales that consisted of elevational and geomorphic subpopulations. A total of 776 multilocus genotypes were identified, with the highest genetic diversity found in the northern and Sichuan populations, particularly in the Ningxia and Sichuan Basins, while the lowest genetic diversity was found in the Yunnan and Guizhou populations. Multivariate discriminant analysis of principal components (DAPC) and STRUCTURE (STRUCTURE 2.3.4) analyses revealed variation in the genotypic compositions of the molecular groups on horizontal and vertical dimensions from north to south or vice versa and from low to high or vice versa, respectively. The regional neighbor-joining tree revealed three large spatial structures consisting of the southwestern, the northwestern, and the Xinjiang regions, while the Tibetan population connected the southwestern and northwestern regions. The isolates of the Sichuan Basin were scattered over the four quartiles by principal coordinate analysis, which indicated frequent genotype interchange with others. Greater genetic differentiation was observed between the southwestern and northwestern regions. Linkage equilibrium (P ≥ 0.05) was detected on different spatial scales, suggesting that Pst populations are using sexual reproduction or mixed reproduction (sexual and clonal reproduction) in southwestern and northwestern China. IMPORTANCE Understanding the epidemiology and population genetics of plant pathogens is crucial to formulate efficient predictions of disease outbreaks and achieve sustainable integrated disease management, especially for pathogens with migratory capability. Here, this study covers the genetic homogeneity and heterogeneity of different geographical Pst populations on broad to fine spatial scales from the key epidemic regions of the two agroecosystems in China, where wheat stripe rust occurs annually. We provide knowledge of the population genetics of Pst and reveal that, for instance, there is greater genetic diversity in northwestern China, there are close genetic relationships between Yunnan and Guizhou and between Gansu-Ningxia and Qinghai, and there are effects of altitude on genetic compositions, etc. All of these findings clarify the genetic relationships and expand the insights into the population dynamics and evolutionary mechanisms of Pst in southwestern and northwestern China, providing a theoretical basis for achieving sustainable control of wheat stripe rust in key epidemic regions.
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Affiliation(s)
- Bingbing Jiang
- Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Cuicui Wang
- Shandong Provincial University Laboratory for Protected Horticulture, Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China
| | - Cunwu Guo
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Xuan Lv
- Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Wenfeng Gong
- Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Jie Chang
- Yingjiang County Bureau of Agriculture and Rural Animal Husbandry Station, Yingjiang, China
| | - Hongpan He
- Wenshan Prefecture Malipo County Dong Gan Town Agricultural Integrated Service Center, Wenshan, China
| | - Jing Feng
- Gejiu City Plant Protection Plant Inspection Station, Ge Jiu, China
| | - Xianming Chen
- U.S. Department of Agriculture, Agricultural Research Service, Wheat Health, Genetics, and Quality Research Unit, and Department of Plant Pathology, Washington State University, Pullman, Washington, USA
| | - Zhanhong Ma
- Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
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