Article
Plant Sciences
Cai Sun, Yike Liu, Qiang Li, Baotong Wang, Shuhui Chen, Jianxin Deng, Dongfang Ma, Yuheng Yang
Summary: In this study, a dominant gene YrXk conferring resistance to Puccinia striiformis f. sp. tritici race CYR33 was identified in Chinese wheat cultivar Xike01015. The gene was mapped to a specific region on chromosome BS and three candidate genes were identified. The findings provide useful information for wheat breeding programs aiming to enhance resistance to stripe rust.
Article
Plant Sciences
Shuai Hou, Fangkun Wu, Zhiqiang Wang, Ning Yan, Hao Chen, Haojie Li, Peiyu Yang, Ying Zhang, Caixia Li, Yu Lin, Jian Ma, Lin Huang, Yaxi Liu
Summary: Stripe rust is a destructive disease that significantly reduces wheat yields globally. To control this disease, we developed a resistant cultivar called 'N2496', which showed high resistance and could be used in breeding programs. Through crossing 'N2496' with common wheat cultivars, we identified a quantitative trait locus (QTL) for stripe rust resistance on chromosome arm 6BL. The QTL explained a high percentage of phenotypic variation and was validated in other populations.
Article
Plant Sciences
Yongfu Wang, Xiaofang Cheng, Xiaoying Yang, Changyou Wang, Hong Zhang, Pingchuan Deng, Xinlun Liu, Chunhuan Chen, Wanquan Ji, Yajuan Wang
Summary: This study revealed the genetic information and disease resistance genes of the W19513 line through cytological, genomic, and functional molecular marker analysis. W19513 showed moderate resistance to powdery mildew and strong resistance to stripe rust, laying a foundation for future genetic research and wheat improvement.
Article
Plant Sciences
Xin Liu, Longyu Chen, Minghu Zhang, Hui Li, Xiaomei Jiang, Junqing Zhang, Zhenjiao Jia, Pan Ma, Ming Hao, Bo Jiang, Lin Huang, Shunzong Ning, Zhongwei Yuan, Xuejiao Chen, Xue Chen, Dengcai Liu, Lianquan Zhang
Summary: The wheat-T. boeoticum substitution line Z1889 was identified and specific molecular markers were developed for the detection of the 4A(b) chromosome and wheat breeding.
Article
Plant Sciences
Rimsha Ashraf, Eva Johansson, Pernilla Vallenback, Brian J. Steffenson, Prabin Bajgain, Mahbubjon Rahmatov
Summary: In this study, a wheat-rye multiple disomic substitution line, SLU126 4R (4D), 5R (5D), and 6R (7D), was used and crossed with Chinese Spring ph1b to induce homeologous recombination, resulting in introgressions with reduced rye chromosome segments that possessed resistance against wheat stripe rust. Through genotyping-by-sequencing (GBS) platforms and aligning putative SNPs to annotated rye NLR genes, the physical positions of NLR genes related to stripe rust resistance were identified. The study also confirmed the existence of a rye translocation containing the stripe resistance gene, which provides an additional asset for wheat improvement.
Article
Biology
Valentyna Klymiuk, Harmeet Singh Chawla, Krystalee Wiebe, Jennifer Ens, Andrii Fatiukha, Liubov Govta, Tzion Fahima, Curtis J. Pozniak
Summary: Durable crop disease resistance is crucial for global food security. In this study, a highly resistant allele Yr84 was identified in wild emmer wheat using a BSA-Seq approach. The precise location of Yr84 was determined and genetic markers closely linked to Yr84 were developed, facilitating marker-assisted selection for rust resistance breeding.
COMMUNICATIONS BIOLOGY
(2022)
Article
Plant Sciences
Qian Jiang, Hongli Wang, Haiguang Wang
Summary: This study investigated severity assessment methods for wheat stripe rust based on machine learning. By using image processing techniques, training and testing sets were constructed using segmentation and pixel statistics operations. Unsupervised and supervised learning methods were used to build severity assessment models, with satisfactory performance achieved regardless of considering healthy wheat leaves or not.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Plant Sciences
Jonathan Eagle, Yan Liu, Yukiko Naruoka, Weizhen Liu, Travis Ruff, Marcus Hooker, Sajal Sthapit, Elliott Marston, Karol Marlowe, Michael Pumphrey, Deven R. See
Summary: This study identified quantitative trait loci (QTL) for stripe rust resistance in wheat using a back-cross inbred-line population. A major QTL conferring all-stage resistance was identified on chromosome 1B, along with seven additional QTLs associated with adult plant resistance. This research provides valuable insights for improving resistance to stripe rust in wheat.
Article
Agronomy
Yang Li, Tianle Qiao, Wenbo Leng, Wenrui Jiao, Jing Luo, Yang Lv, Yiran Tong, Xuanjing Mei, Hongsheng Li, Qiongqiong Hu, Qiang Yao
Summary: This study employed deep learning for semantic segmentation of wheat stripe rust damage images, achieving improved accuracy by constructing a large-scale open dataset and utilizing the Octave-UNet model.
Article
Plant Sciences
Zuyu Liao, Xiuzhong Xia, Zongqiong Zhang, Baoxuan Nong, Hui Guo, Rui Feng, Can Chen, Faqian Xiong, Yongfu Qiu, Danting Li, Xinghai Yang
Summary: Through a genome-wide association study, we identified numerous SNPs related to root morphology and plant growth in rice, and identified several candidate genes related to nitrogen use efficiency (NUE). This study provides new genetic resources for breeding rice varieties with high NUE.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Environmental Sciences
Chao Ruan, Yingying Dong, Wenjiang Huang, Linsheng Huang, Huichun Ye, Huiqin Ma, Anting Guo, Ruiqi Sun
Summary: This study developed a prediction model for wheat stripe rust based on vegetation indices and meteorological features. The combination of phenological information-based vegetation indices and meteorological features improved prediction accuracy.
Article
Environmental Sciences
Linsheng Huang, Xinyu Chen, Yingying Dong, Wenjiang Huang, Huiqin Ma, Hansu Zhang, Yunlei Xu, Jing Wang
Summary: This study evaluates the environmental suitability of wheat stripe rust in China using species distribution models, combining data from various disciplinary fields. Results show that meteorological factors, especially temperature and precipitation, have the greatest impact on the occurrence of stripe rust. This study provides a scientific basis for optimizing and improving the comprehensive management strategy of stripe rust.
Article
Plant Sciences
Qiao Wang, Jia Guo, Pengfei Jin, Mengying Guo, Jun Guo, Peng Cheng, Qiang Li, Baotong Wang
Summary: The defense response of wheat against wheat stripe rust and powdery mildew is different. Functional categories, including antioxidant activity and immune system process, exhibited obvious differences between the two infections. TaGSTU6 was found to play an important role in resistance to powdery mildew, and its interaction with TaCBSX3 is crucial for wheat resistance to powdery mildew.
Article
Agronomy
Xu Chen, Zhifeng Yao, Dongjian He
Summary: Stripe rust is a common disease affecting wheat production. Efficient detection and analysis of urediospores, responsible for disease transmission, is crucial for preventing and controlling stripe rust. Optical detection methods and sensors have been developed and used widely, providing high efficiency and sensitivity. This study analyzes the optical parameters of urediospores, including reflection phase shift, refractive index, and dielectric constant, to lay a theoretical foundation for their detection using optical sensors.
Article
Plant Sciences
Peijing Zheng, Mengxue Liu, Lijing Pang, Ruyi Sun, Mohan Yao, Xiaojie Wang, Zhensheng Kang, Jie Liu
Summary: This study reveals that the Puccinia striiformis f. sp. tritici (Pst) effector Pst21674 suppresses host immunity in wheat by targeting the abscisic acid-, stress-, and ripening-induced protein TaASR3. Pst21674 interferes with the polymerization of TaASR3 and inhibits the transcriptional activation of defense-related genes, leading to reduced wheat resistance to stripe rust.
