Article
Agronomy
Bowei Ye, Ravi P. Singh, Chan Yuan, Demei Liu, Mandeep S. Randhawa, Julio Huerta-Espino, Sridhar Bhavani, Evans Lagudah, Caixia Lan
Summary: This study determined the genetic basis of resistance to leaf rust (LR) and stripe rust (YR) in wheat variety Borlaug 100. Multiple resistance genes were found to significantly affect the severity of the diseases, and their additive and interactive effects were observed. The results provide resistance sources for wheat breeding programs.
Article
Biochemistry & Molecular Biology
Hany H. A. El-Sharkawy, Younes M. Rashad, Nahla T. Elazab
Summary: This study demonstrated that the endophytic fungus Epicoccum nigrum HE20 isolated from a healthy wheat plant showed strong inhibitory potential against stripe rust in wheat. The application of E. nigrum HE20 led to a significant reduction in disease severity and an overexpression of defensive genes in the infected plants. These findings suggest that E. nigrum HE20 could be an effective bioagent for controlling stripe rust.
PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY
(2023)
Article
Plant Sciences
Younes M. Rashad, Hany H. El-Sharkawy, Sara A. Abdalla, Omar M. Ibrahim, Nahla T. Elazab
Summary: This study investigated the time-course changes in expression of polyphenol biosynthesis pathway genes in wheat against stripe rust. The defense mechanisms triggered by mycorrhizal colonization and/or spraying with Streptomyces viridosporus HH1 were also investigated. Results showed that the dual treatment led to significant overexpression of 10 out of the 13 studied genes. Gene co-expression network analysis revealed the central role of HQT in wheat resistance to stripe rust. Furthermore, the dual treatment resulted in a significant reduction in disease severity.
Article
Plant Sciences
Junyan Feng, Fangjie Yao, Meinan Wang, Deven R. See, Xianming Chen
Summary: Wheat stripe rust, one of the most serious plant diseases worldwide, can be effectively controlled by breeding resistant cultivars. In this study, researchers successfully mapped the YrTr1 gene, an important resistance gene, to the short arm of chromosome 1B in wheat, and named it Yr85.
Article
Plant Sciences
Alma Kokhmetova, Aralbek Rsaliyev, Angelina Malysheva, Makpal Atishova, Madina Kumarbayeva, Zhenis Keishilov
Summary: Stripe rust caused by Puccinia striiformis f.sp. tritici is a serious threat to wheat crops globally, including Kazakhstan. This study evaluated 70 winter wheat genotypes for resistance, identifying 42 entries with resistance reactions, six of which were considered to have a high level of adult plant resistance. Key resistance genes such as Yr10, Yr5, and Yr15 were identified in the wheat germplasm, providing potential targets for breeding programs.
Article
Agronomy
Deepak Kumar Baranwal, Harbans Bariana, Urmil Bansal
Summary: The deployment of combinations of resistance genes in future wheat cultivars can save yield losses caused by the stripe rust pathogen. This study identified a new resistance gene YrAW12 and several genomic regions controlling stripe rust resistance in a Tunisian landrace Aus26670. The detailed mapping of these genomic regions will lead to permanent designation of these loci.
MOLECULAR BREEDING
(2021)
Article
Agronomy
Fahimeh Shahinnia, Manuel Geyer, Friederike Schuermann, Sabine Rudolphi, Josef Holzapfel, Hubert Kempf, Melanie Stadlmeier, Franziska Loeschenberger, Laura Morales, Hermann Buerstmayr, Julio Isidro Y. Sanchez, Deniz Akdemir, Volker Mohler, Morten Lillemo, Lorenz Hartl
Summary: Two loci on chromosomes 2BS and 6AL were found to significantly contribute to stripe rust resistance in current European winter wheat germplasm. These findings provide valuable information for the breeding programs aimed at developing rust resistant cultivars. Genomic association analysis identified 12 SNP markers on six wheat chromosomes that consistently showed effects on adult plant stripe rust resistance. Two highly predictive markers on chromosomes 2BS and 6AL were validated in three independent populations, indicating their potential for efficient selection of resistant cultivars.
THEORETICAL AND APPLIED GENETICS
(2022)
Article
Plant Sciences
Zahid Mahmood, Mohsin Ali, Javed Iqbal Mirza, Muhammad Fayyaz, Khawar Majeed, Muhammad Kashif Naeem, Abdul Aziz, Richard Trethowan, Francis Chuks Ogbonnaya, Jesse Poland, Umar Masood Quraishi, Lee Thomas Hickey, Awais Rasheed, Zhonghu He
Summary: The study used genome-wide association analysis to identify loci associated with stripe rust resistance in synthetic-derived wheats. Several new loci and resistance genes were discovered, and the genetic framework for stripe rust resistance in these wheats was elucidated.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Virology
Yanhui Zhang, Hualong Guo, Siyu Zhou, Daipeng Chen, Gang Xu, Zhensheng Kang, Li Zheng
Summary: We report a new mitovirus, named Puccinia striiformis mitovirus 2 (PsMV2), from the wheat stripe rust fungus. PsMV2 exhibited high multiplication during Pst infection and suppressed programmed cell death triggered by Bax. Silencing of PsMV2 reduced fungal growth and pathogenicity of Pst. Our results indicate that PsMV2 promotes pathogenicity and has a wide distribution in field isolates of Pst.
Article
Plant Sciences
Khalil El Messoadi, Atmane Rochdi, Houda El Yacoubi, Tadesse Wuletaw
Summary: Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a destructive disease in wheat worldwide. Developing and using resistant cultivars is an effective method to combat this disease. A genome-wide association study identified markers closely linked to stripe rust resistance, which can be used for marker-assisted selection to enhance rust resistance in wheat breeding programs.
PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY
(2023)
Article
Plant Sciences
Elena Gultyaeva, Ekaterina Shaydayuk
Summary: The significance of yellow rust caused by Puccinia striiformis (Pst) has increased worldwide, including in Russia. The study aimed to explore the yellow rust resistance potential of modern common winter wheat cultivars included in the Russian Register of Breeding Achievements. The research found that some cultivars had multiple resistance genes, which can enhance genetic diversity and overall yellow rust resistance.
Article
Plant Sciences
Demei Liu, Chan Yuan, Ravi P. P. Singh, Mandeep S. S. Randhawa, Sridhar Bhavani, Uttam Kumar, Julio Huerta-Espino, Evans Lagudah, Caixia Lan
Summary: Developing wheat varieties with durable resistance is a key objective for breeding programs worldwide. This study identified genetic basis and resistance loci for stripe rust (YR) and leaf rust (LR) in wheat, and developed molecular markers for accelerated breeding.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Khalil El Messoadi, Samira El Hanafi, Zakaria El Gataa, Zakaria Kehel, Yassin Bouhouch, Wuletaw Tadesse
Summary: A genome-wide association study identified markers associated with resistance in wheat genotypes and found that two of them may represent novel resistance loci for yellow rust.
JOURNAL OF PLANT PATHOLOGY
(2022)
Article
Agronomy
Peipei Zhang, Xiaocui Yan, Takele-Weldu Gebrewahid, Yue Zhou, Ennian Yang, Xianchun Xia, Zhonghu He, Zaifeng Li, Daqun Liu
Summary: A genome-wide association analysis identified multiple loci associated with resistance to leaf rust and stripe rust at both seedling and adult plant stages. Potential new loci were discovered, providing valuable information for wheat breeding.
THEORETICAL AND APPLIED GENETICS
(2021)
Article
Plant Sciences
Jingwei Zhou, Ravi P. Singh, Yong Ren, Bin Bai, Zhikang Li, Chan Yuan, Shunda Li, Julio Huerta-Espino, Demei Liu, Caixia Lan
Summary: The characterization of leaf rust and stripe rust resistance genes in wheat has identified key quantitative trait loci (QTLs) for resistance, including new loci such as QLr.hzau-3BL and QYr.hzau5AL. This provides important insights for wheat breeding and disease management.
Letter
Biochemistry & Molecular Biology
Xianra Li, Tingting Guo, Guihua Bai, Zhiwu Zhang, Deven See, Juliet Marshall, Kimberly A. Garland-Campbell, Jianming Yu
Article
Plant Sciences
Meinan Wang, Anmin Wan, Xianming Chen
Summary: In this study, 1,567 isolates of Puccinia striiformis f. sp. tritici collected from the United States between 2013 and 2017 were tested for virulence. The study identified 72 races, including 20 new races. The frequencies of these races varied in different years and regions. The findings provide valuable insights into the evolution of the pathogen and the development of resistant wheat cultivars.
Article
Plant Sciences
Lance F. Merrick, Adrienne B. Burke, Zhiwu Zhang, Arron H. Carter
Summary: This study aimed to dissect the genetic architecture of seedling emergence in wheat using one multi-trait genome-wide association study (MT-GWAS) and three single-trait GWAS (ST-GWAS) models. The ST-GWAS models identified 107 significant markers across 19 chromosomes, while the MT-GWAS identified 82 significant markers across 14 chromosomes. The FarmCPU and BLINK models were able to identify both small effect markers and large effect markers on chromosome 5A.
FRONTIERS IN PLANT SCIENCE
(2022)
Review
Genetics & Heredity
Karansher S. Sandhu, Lance F. Merrick, Sindhuja Sankaran, Zhiwu Zhang, Arron H. Carter
Summary: The adoption of genomic selection and phenomics tools in plant breeding programs has significantly increased in the past decade. Genomic selection has shown potential in selecting superior genotypes with high precision and accelerating the breeding cycle, while phenomics aims to alleviate phenotyping bottlenecks and explore new large-scale phenotyping and data acquisition methods. This review discusses the lessons learned from genomic selection and phenomics in six self-pollinated crops and their implementation schemes, with a focus on rice, wheat, soybean, common bean, chickpea, and groundnut.
FRONTIERS IN GENETICS
(2022)
Article
Genetics & Heredity
Ruicai Long, Fan Zhang, Zhiwu Zhang, Mingna Li, Lin Chen, Xue Wang, Wenwen Liu, Tiejun Zhang, Long-Xi Yu, Fei He, Xueqian Jiang, Xijiang Yang, Changfu Yang, Zhen Wang, Junmei Kang, Qingchuan Yang
Summary: This study reported the chromosome-level genome sequence and genomic variation database of Zhongmu-4, a widely cultivated alfalfa cultivar in China, as well as the polymorphic genes associated with agronomic traits. The expansion of gene families and increase of repetitive elements observed in Zhongmu-4 genome may contribute to its larger genome size compared to Medicago truncatula. The population structure analysis revealed the influence of geography on the genetic divergence of alfalfa. The findings of this study will facilitate genetic research and genomics-assisted breeding for alfalfa variety improvement.
GENOMICS PROTEOMICS & BIOINFORMATICS
(2022)
Review
Food Science & Technology
Yang Hu, Stephanie M. Sjoberg, Chunpen (James) Chen, Amber L. Hauvermale, Craig F. Morris, Stephen R. Delwiche, Ashley E. Cannon, Camille M. Steber, Zhiwu Zhang
Summary: This review examines the application, limitations, and potential alternatives to the Hagberg-Perten falling number (FN) method used in the global wheat industry. The FN test indirectly detects the presence of alpha-amylase, which is responsible for starch degradation. Low FN/high alpha-amylase in wheat grains results in poor end-product quality and significant losses for various stakeholders. The FN method has limitations such as sampling variability, high cost, labor intensiveness, destructive nature, and inability to differentiate between different causes of low FN. Seeking faster, cheaper, and more accurate alternatives can improve breeding and avoid inadvertent mixing of high- and low-FN grain, thus preserving the value of wheat grain.
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
(2022)
Article
Agriculture, Dairy & Animal Science
Chun-Peng J. Chen, Gota Morota, Kiho Lee, Zhiwu Zhang, Hao Cheng
Summary: Precision livestock farming in the swine industry focuses on using computer vision technology to automate monitoring pig activity, but the performance is highly dependent on the quality of imagery features and requires intensive effort in labeling ground truths for training datasets.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Plant Sciences
Gangming Zhan, Fan Ji, Xianming Chen, Jianxiu Wang, Dingling Zhang, Jun Zhao, Qingdong Zeng, Lijun Yang, Lili Huang, Zhensheng Kang
Summary: A study on the virulence and molecular characterization of wheat stripe rust samples collected from different regions in China reveals the spatial distribution and sources of Puccinia striifomis f. sp. tritici (Pst) populations. The study provides an epidemiological basis for deploying effective resistance genes in different regions to control stripe rust.
Article
Plant Sciences
Qing Bai, Tinglan Liu, Anmin Wan, Meinan Wang, Deven R. See, Xianming Chen
Summary: Barley stripe rust, caused by the pathogen Puccinia striiformis f. sp. hordei (Psh), is a relatively new disease in the United States. This study reveals rapid genetic changes and major molecular group shifts in Psh populations around 2000 and 2010, indicating the dynamic nature of the disease population.
Article
Plant Sciences
Yuxiang Li, Lu Liu, Meinan Wang, Travis Ruff, Deven R. See, Xiaoping Hu, Xianming Chen
Summary: A mutant wheat line, M1225, with high-temperature adult-plant resistance to Puccinia striiformis f. sp. tritici, was obtained through crossbreeding and genetic analysis revealed that the HTAP resistance gene is located on the short arm of chromosome 2A within a 7.5 centimorgan interval.
Article
Plant Sciences
Fan Zhang, Junmei Kang, Ruicai Long, Mingna Li, Yan Sun, Fei He, Xueqian Jiang, Changfu Yang, Xijiang Yang, Jie Kong, Yiwen Wang, Zhen Wang, Zhiwu Zhang, Qingchuan Yang
Summary: Fall dormancy (FD) is a crucial trait for alfalfa cultivar selection. We conducted genomic prediction of FD using machine learning methods and achieved high prediction accuracy.
HORTICULTURE RESEARCH
(2023)
Article
Agriculture, Multidisciplinary
Zhou Tang, Meinan Wang, Michael Schirrmann, Xianran Li, Robert Brueggeman, Sindhuja Sankaran, Arron H. Carter, Michael O. Pumphrey, Yang Hu, Xianming Chen, Zhiwu Zhang
Summary: In this study, a neural network-based image classifier called RustNet was developed to efficiently monitor wheat fields for stripe rust. The model uses deep learning to process images and videos captured from affordable devices, enabling high-throughput pheno-typing for early detection of rust and improved control efficiency.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Plant Sciences
Junyan Feng, Fangjie Yao, Meinan Wang, Deven R. See, Xianming Chen
Summary: Wheat stripe rust, one of the most serious plant diseases worldwide, can be effectively controlled by breeding resistant cultivars. In this study, researchers successfully mapped the YrTr1 gene, an important resistance gene, to the short arm of chromosome 1B in wheat, and named it Yr85.
Article
Plant Sciences
Xiyue Bao, Yangshan Hu, Yuxiang Li, Xianming Chen, Hongsheng Shang, Xiaoping Hu
Summary: This study elucidated the molecular mechanism of high-temperature seedling-plant resistance in wheat to Puccinia striiformis f. sp. tritici. Overexpression of PSTG_11208 enhanced resistance, while the interaction between PstCEP1 and PSTG_11208 inhibited the resistance enhancement. Furthermore, TaTLP1 recognized pathogen invasion through interaction with PSTG_11208 and initiated downstream defense response. Silencing of TaFd1 affected photosynthesis stability and reduced resistance.
MOLECULAR PLANT PATHOLOGY
(2023)
Article
Mycology
Y. P. Fu, Y. T. Dai, K. W. T. Chethana, Z. H. Li, L. Sun, C. T. Li, H. L. Yu, R. H. Yang, Q. Tan, D. P. Bao, Y. J. Deng, S. X. Wang, Y. F. Wang, F. H. Tian, L. L. Qi, L. L. Shu, P. S. Jia, L. C. Chen, M. Y. Chen, Q. X. Hu, H. Tan, T. T. Song, Z. W. Zhang, G. Bonito, G. Zervakis, S. J. Xiao, K. D. Hyde, Y. Li, X. H. Yuan
Summary: This study presents high-quality genomes, transcriptomes, and re-sequencing data of edible and medicinal mushrooms, and constructs an integrated omics database (MushDB) for a better understanding of mushroom domestication. Using multi-omics data, the researchers identified potential functional genes contributing to mushroom domestication, including genes involved in starch and sucrose metabolism and mitogen-activated protein kinase signaling pathway. The function of one key gene in low temperature adaptation and cultivation environment was validated using CRISPR/Cas9 system.
