Article
Plant Sciences
Guangrong Li, Qiheng Chen, Wenxi Jiang, Ahui Zhang, Ennian Yang, Zujun Yang
Summary: Using multi-color non-denaturing fluorescence in situ hybridization (ND-FISH), a novel disease-resistant wheat-Th. intermedium double substitution line X479 was identified. Through sequential ND-FISH with multiple probes, 15 types of wheat-Thinopyrum translocation chromosomes were developed and characterized. The wheat-4J(S)L translocation lines showed high levels of resistance to stripe rust prevalent races.
Article
Plant Sciences
Pengfei Jin, Kaixiang Chao, Juan Li, Zihao Wang, Peng Cheng, Qiang Li, Baotong Wang
Summary: This study identified and verified several candidate genes with significantly different expression changes in the wheat-Puccinia striiformis f. sp. tritici (Pst) interaction system based on bioinformatics analysis. Two candidate genes, TaFBN and Ta_Pes_BRCT, were confirmed to have the most significant resistance changes after silencing in the wheat-Pst interaction system. Through further investigation, TaFBN was found to potentially play a critical role in wheat resistance to Pst and may be involved in abiotic stress pathways.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Plant Sciences
Fang Wang, Minghu Zhang, Yanling Hu, Meijuan Gan, Bo Jiang, Ming Hao, Shunzong Ning, Zhongwei Yuan, Xuejiao Chen, Xue Chen, Lianquan Zhang, Bihua Wu, Dengcai Liu, Lin Huang
Summary: This study investigated the combination of multiple resistance genes to increase the durability of wheat resistance to stripe rust. The results showed that a minimum of two-gene combinations can provide adequate resistance, and these combinations also showed resistance at the seedling stage.
Article
Multidisciplinary Sciences
Irfat Jan, Gautam Saripalli, Kuldeep Kumar, Anuj Kumar, Rakhi Singh, Ritu Batra, Pradeep Kumar Sharma, Harindra Singh Balyan, Pushpendra Kumar Gupta
Summary: Meta-QTL analysis was performed using 353 QTLs in bread wheat, resulting in identification of 61 MQTLs carrying 37 Yr genes and 385 candidate genes. Among these candidate genes, 241 encoded known R proteins, with 120 showing differential expression in response to stripe rust infection.
SCIENTIFIC REPORTS
(2021)
Article
Agronomy
Yuruo Yin, Chan Yuan, Yichen Zhang, Shunda Li, Bin Bai, Ling Wu, Yong Ren, Ravi P. Singh, Caixia Lan
Summary: In this study, a new race-specific seedling stripe rust resistance gene, YrK, was identified on wheat chromosome 5BL through genotyping-by-sequencing and bulked segregant RNA sequencing. Functional molecular markers for YrK were developed. Additionally, four adult plant resistance (APR) loci were mapped on wheat chromosome arms 1BL, 2AS, 2BS, and 4AL. The findings of this study provide valuable resources for the development of rust-resistant wheat varieties.
THEORETICAL AND APPLIED GENETICS
(2023)
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
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
Plant Sciences
Qiong Yan, Guoyun Jia, Wenjing Tan, Ran Tian, Xiaochen Zheng, Junming Feng, Xiaoqin Luo, Binfan Si, Xin Li, Kebing Huang, Meinan Wang, Xianming Chen, Yong Ren, Suizhuang Yang, Xinli Zhou
Summary: This study identified nine quantitative trait loci (QTLs) for stripe rust resistance in a wheat population derived from the cross between PI 660122 and Zhengmai 9023. One major QTL on chromosome 4DS explained the highest percentage of phenotypic variation. These QTLs can be utilized for wheat breeding to improve resistance to stripe rust.
FRONTIERS IN PLANT SCIENCE
(2023)
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
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
Amy Mackenzie, Michael Norman, Mesfin Gessese, Chunhong Chen, Chris Sorensen, Mogens Hovmoller, Lina Ma, Kerrie Forrest, Lee Hickey, Harbans Bariana, Urmil Bansal, Sambasivam Periyannan
Summary: This study identified the stripe rust resistance gene YR63 from a Portuguese hexaploid wheat landrace, which shows resistance to a wide spectrum of Pst races. The closely linked SNP marker associated with YR63 will facilitate its introgression into elite wheat cultivars through marker-assisted selection. The study highlights the importance of using long-read sequencing techniques for accurate detection of resistance genes within large gene clusters.
Article
Multidisciplinary Sciences
Rong Liu, Jing Lu, Jiayi Xing, Lv Xue, Yu Wu, Lei Zhang
Summary: The TaPR1 gene plays a crucial role in wheat's response to various stresses. Through bioinformatics and RNA sequencing, 86 potential TaPR1 genes in wheat were identified and found to be involved in different pathways related to signaling and metabolism in response to infection. The TaPR1-7 gene was specifically associated with resistance to stripe rust and its importance was confirmed through virus-induced gene silencing.
SCIENTIFIC REPORTS
(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
Xiaojun Zhang, Jianbo Li, Yudi Ge, Haixia Guan, Guangrong Li, Shuwei Zhang, Xiaolu Wang, Xin Li, Zhijian Chang, Peng Zhang, Juqing Jia, Cheng Liu
Summary: This study developed a wheat-Th. intermedium substitution line CH51, which exhibited high levels of resistance to leaf rust and stripe rust diseases in the field. In addition, CH51 lacked a pair of wheat chromosome 6B.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Yahya Rauf, Prabin Bajgain, Matthew N. Rouse, Khalil A. Khanzada, Sridhar Bhavani, Julio Huerta-Espino, Ravi P. Singh, Muhammad Imtiaz, James A. Anderson
Summary: This study analyzed the genetic basis of adult plant resistance to stem rust in spring wheat line 'Copio'. The results showed that Copio carries multiple resistance genes that provide both race-specific and non-race-specific resistance to diverse races of stem rust fungus. These genes can be used in breeding programs to develop durable resistance in wheat.
Article
Agronomy
Tomasz Mroz, Jon Arne Dieseth, Morten Lillemo
Summary: Spring wheat is the dominant wheat variety in Norway. Breeding efforts have focused on improving lodging and preharvest sprouting resistance, as well as breadmaking quality. Although new cultivars have been developed, little is known about the genetic basis of yield gains.
Article
Agronomy
Merlijn Morisse, Darren M. Wells, Emilie J. Millet, Morten Lillemo, Sven Fahrner, Francesco Cellini, Peter Lootens, Onno Muller, Juan M. Herrera, Alison R. Bentley, Michela Janni
Summary: To address the challenges of future food security, innovative technologies are needed to accelerate crop production. Plant phenotyping methods have advanced significantly, and field-based phenotyping plays a crucial role in capturing plant responses to the environment for breeding and selection requirements.
FIELD CROPS RESEARCH
(2022)
Article
Plant Sciences
Anne-Grete Roer Hjelkrem, Heidi Udnes Aamot, Morten Lillemo, Espen Sannes Sorensen, Guro Brodal, Aina Lundon Russenes, Simon G. Edwards, Ingerd Skow Hofgaard
Summary: This study conducted a functional data analysis of weather-based time series data linked to DON content in Norwegian oats and identified weather patterns associated with increased DON levels. Oat fields with elevated DON levels generally had warmer weather around sowing, and lower temperatures and higher relative humidity or rain prior to flowering onwards, compared to fields with low DON levels. Functional data analysis was found to be a useful tool to reveal weather patterns of importance for DON development in oats.
Editorial Material
Agronomy
Hector Eduardo Villasenor-Mir, Julio Huerta-Espino, Rene Hortelano-Santa Rosa, Eliel Martinez-Cruz, Ernesto Solis-Moya, Jorge Ivan Alvarado-Padilla, Maria F. Rodriguez-Garcia, Alberto Borbon-Gracia, Hector Cortinas-Escobar, Eduardo Espitia-Rangel, Eutimio de Jesus Cuellar-Villarreal, Gabriela Chavez-Villalba, Leodegario Osorio-Alcala
REVISTA FITOTECNIA MEXICANA
(2022)
Article
Plant Sciences
Marco Lopez-Cruz, Susanne Dreisigacker, Leonardo Crespo-Herrera, Alison R. Bentley, Ravi Singh, Jesse Poland, Sandesh Shrestha, Julio Huerta-Espino, Velu Govindan, Philomin Juliana, Suchismita Mondal, Paulino Perez-Rodriguez, Jose Crossa
Summary: The success of genomic selection in breeding schemes relies on accurate predictions of unobserved lines at early stages. The sparse selection index method can improve prediction accuracy and reduce the size of the training set.
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)
Correction
Agronomy
Rohit Mago, Chunhong Chen, Xiaodi Xia, Alex Whan, Kerrie Forrest, Bhoja R. Basnet, Geetha Perera, Sutha Chandramohan, Mandeep Randhawa, Matthew Hayden, Urmil Bansal, Julio Huerta-Espino, Ravi P. Singh, Harbans Bariana, Evans Lagudah
THEORETICAL AND APPLIED GENETICS
(2022)
Article
Plant Sciences
Julio Huerta-Espino, Ravi P. Singh, Hector Eduardo Villasenor-Mir, Karim Ammar
Summary: In this study, 482 tetraploid wheat accessions were screened for resistance to leaf rust disease. Among them, 79 genotypes showed resistance to all tested leaf rust races in the seedling stage. The potential of these resistant genotypes in breeding programs was evaluated.
Article
Agronomy
Jorge L. Valenzuela-Antelo, Ignacio Benitez-Riquelme, Mateo Vargas-Hernandez, Julio Huerta-Espino, Alison R. Bentley, Hector E. Villasenor-Mir, Francisco J. Pinera-Chavez
Summary: This study analyzed the grain yield performance of 30 bread and durum wheat cultivars in different environments in Mexico. It identified several high-yielding and stable cultivars, providing improved wheat varieties for wheat production demand in Mexico.
Article
Biochemistry & Molecular Biology
Guillermo Garcia-Barrios, Jose Crossa, Serafin Cruz-Izquierdo, Victor Heber Aguilar-Rincon, J. Sergio Sandoval-Islas, Tarsicio Corona-Torres, Nerida Lozano-Ramirez, Susanne Dreisigacker, Xinyao He, Pawan Kumar Singh, Rosa Angela Pacheco-Gil
Summary: Genomic prediction is used to predict breeding values based on molecular and phenotypic data. This study evaluated the performance of different models in predicting disease resistance in synthetic hexaploid wheat. The results showed that the combination of genomic and pedigree information (A+G BLUP) had the highest prediction accuracy, while the single trait and multi-trait models had similar accuracies. This suggests that the use of genomic information can improve breeding programs.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biochemical Research Methods
Matteo Togninalli, Xu Wang, Tim Kucera, Sandesh Shrestha, Philomin Juliana, Suchismita Mondal, Francisco Pinto, Velu Govindan, Leonardo Crespo-Herrera, Julio Huerta-Espino, Ravi P. Singh, Karsten Borgwardt, Jesse Poland
Summary: Developing new crop varieties with superior performance is crucial for global food security, but the process is limited by long field cycles. This study proposes a machine learning model that combines genotype and phenotype measurements using data collected by unmanned aerial systems. The model significantly improves yield prediction accuracy, providing valuable insights for breeding programs and accelerating the delivery of improved varieties.
Article
Plant Sciences
Gabija Vaitkeviciute, Aakash Chawade, Morten Lillemo, Zilvinas Liatukas, Andrius Aleliunas, Rita Armoniene, Tomoki Hoshino, Eri Ogiso-Tanaka, Prakit Somta
Summary: Climate change and global food security efforts are increasing the demand for adaptable crops in higher latitude temperate regions. This study evaluated the freezing tolerance (FT) of 160 winter wheat genotypes and identified germplasm with high FT. Differences in FT were observed based on country of origin, release years, and culton type. FT measurements under controlled conditions were shown to correlate with overwintering survival scores in the field, validating its reliability as a high-throughput method for FT evaluation. Genome-wide association studies revealed SNP markers associated with FT, and candidate genes were identified for introduction into winter wheat breeding programs in the Nordic region.
Article
Agronomy
Laura M. Delgado-Sanchez, Julio Huerta-Espino, Ignacio Benitez-Riquelme, Karim Ammar, Victor H. Aguilar-Rincon, Tarsicio Corona-Torres
Summary: This study analyzed the hybrid crosses of durum wheat landraces from Ethiopia and found that resistance to leaf rust is determined by two dominant genes.
REVISTA FITOTECNIA MEXICANA
(2022)
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.
