Article
Plant Sciences
Katsuhiko Sumitomo, Kenta Shirasawa, Sachiko Isobe, Hideki Hirakawa, Akiho Harata, Michiharu Nakano, Yoshihiro Nakano, Masafumi Yagi, Tamotsu Hisamatsu, Hiroyasu Yamaguchi, Fumiya Taniguchi
Summary: In this study, DNA markers associated with resistance against Puccinia horiana were identified using the genome of a wild diploid relative of chrysanthemum. By conducting a genome-wide association study, researchers identified the important region of the resistant cultivar's genome and used SNP markers obtained from ddRAD-Seq to fine map the resistance locus. Comparative whole genome sequencing was conducted to identify base variants, resulting in the discovery of SNP markers that were closer to the resistance locus compared to ddRAD-Seq markers. These SNP markers showed robust transferability for detecting resistance in chrysanthemum genetic resources.
HORTICULTURE RESEARCH
(2022)
Article
Plant Sciences
Ge Gao, Ruibing Jin, Di Liu, Xin Zhang, Xiaomei Sun, Pengfang Zhu, Hongyu Mao
Summary: This study elucidates the mechanism of interaction between the disease resistance gene CmWRKY15-1 and the important regulator gene CmNPR1 in chrysanthemums. By activating the expression of downstream pathogenesis-related genes in the salicylic acid pathway, resistance to the fungus Puccinia horiana is enhanced.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Qi Chen, Anchan Kuang, Haihong Wu, Di Liu, Xin Zhang, Hongyu Mao
Summary: Chrysanthemum White Rust (CWR) caused by Puccinia horiana Henn. is a major disease in chrysanthemum production. In this study, the resistant cultivar 'China Red' was used as the experimental material. Silencing the CmWRKY15-1 gene in chrysanthemum showed decreased resistance to white rust, as indicated by lower activity of protective enzymes and higher susceptibility to pathogenic fungi. These findings suggest that CmWRKY15-1 plays a crucial role in enhancing chrysanthemum resistance to white rust.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agronomy
Yuichi Matsuzaki, Toshiyuki Harada, Fukumatsu Iwahashi
Summary: Rust fungi, particularly Puccinia horiana, have developed resistance to fungicides through mutations in genes encoding target proteins, leading to higher levels of resistance in some isolates. Cross-resistance among certain fungicides was confirmed in specific isolates, while others remained sensitive to alternative fungicides. In planta tests revealed reduced efficacy of azoxystrobin against mutant isolates, indicating potential involvement of specific amino acid substitutions in conferring resistance.
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2021)
Article
Agronomy
Mei Deng, Li Long, Yukun Cheng, Fangjie Yao, Fangnian Guan, Yuqi Wang, Hao Li, Zhien Pu, Wei Li, Qiantao Jiang, Yuming Wei, Jian Ma, Houyang Kang, Pengfei Qi, Jirui Wang, Youliang Zheng, Yunfeng Jiang, Guoyue Chen
Summary: In this study, three quantitative trait loci (QTL) associated with adult-plant stripe rust resistance were identified from the Chinese wheat landrace Yibinzhuermai. Among them, QYr.YBZR-6AL and QYr.YBZR-7DS had major effects in different field environments. Furthermore, haplotype analysis revealed that the resistance allele at QYr.YBZR-6AL was present in a small proportion of Chinese wheat landraces.
Article
Materials Science, Multidisciplinary
Rizwana Rehsawla, Nidhi Dhull, Monika Tomar, Savita Sharma, Neelam R. Yadav
Summary: This study develops a genosensor using a nanoscale NiO thin film for detecting DNA sequences associated with wheat yellow rust. The genosensor shows excellent sensitivity and precision, and its unique feature is the utilization of conserved sequences for the first time.
MATERIALS RESEARCH EXPRESS
(2023)
Article
Agronomy
Yuichi Matsuzaki, Toshiyuki Harada, Fukumatsu Iwahashi
Summary: Some isolates of Puccinia horiana, the causal agent of chrysanthemum white rust disease, showed resistance to Quinone outside inhibitors (QoIs) and succinate dehydrogenase inhibitors (SDHIs). Mutations in cytochrome b and SdhC may be responsible for the resistance, as revealed by higher EC50 values for QoIs and resistance to SDHI oxycarboxin.
Article
Biochemical Research Methods
Miranda N. Emaus, Jared L. Anderson
Summary: Sequence-specific DNA extractions using ion-tagged oligonucleotides (ITOs) combined with a hydrophobic magnetic ionic liquid (MIL) show high selectivity and sensitivity in extracting diluted BRAF V600E mutations, allowing for the differentiation of low abundance mutations during qPCR analysis.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Plant Sciences
Jun-Jun Liu, Anna W. Schoettle, Richard A. Sniezko, Kristen M. Waring, Holly Williams, Arezoo Zamany, Jeremy S. Johnson, Angelia Kegley
Summary: This study compared the major gene resistance (MGR) in southwestern white pine and limber pine by analyzing SNP markers. The results showed that most SNPs in limber pine were transferable to southwestern white pine, and some SNPs linked to Cr4 were significantly associated with Cr3-controlled traits in southwestern white pine. The findings suggest the potential use of SNP markers for distinguishing resistant genotypes in white pines.
Review
Biotechnology & Applied Microbiology
John Van der Oost, Constantinos Patinios
Summary: A series of scientific discoveries and technological advances in the second half of the 20th century laid the foundation for the ongoing revolution in genome editing. The elucidation of the structure and function of DNA and RNA led to pioneering studies in genome editing, giving birth to molecular technology. Over the next four decades, there was rapid progress in scientific insights and technological methods, particularly with the development of tools like restriction enzymes and the revolutionary CRISPR-Cas technology. This review provides a historical overview of the milestones that led to the genome editing revolution and speculates on future trends in biotechnology.
TRENDS IN BIOTECHNOLOGY
(2023)
Article
Ophthalmology
Mahjabeen Khan, Mark D. P. Willcox, Scott A. Rice, Savitri Sharma, Fiona Stapleton
Summary: Increasing antibiotic resistance by ocular Pseudomonas aeruginosa is an emerging concern, with recent isolates showing more variations in resistance genes.
EXPERIMENTAL EYE RESEARCH
(2021)
Article
Plant Sciences
Wei Quan Pang, Chern Shun Lai, Mohamad Fadhli Mad Atari, Bothi Raja Pandian, Mohamad Nasir Mohamad Ibrahim, Swee Tiam Tan, Ivan Chew Ken Yoong, Sreeramanan Subramaniam
Summary: Graphene oxide (GO) is a novel nanomaterial with distinct physical properties and significant biological applications. This study focused on the effects of GO on the regeneration process and genetic stability of white strawberry plants, finding that lower concentrations of GO can improve plant development and stability, making it suitable for strawberry tissue culture.
PLANT PHYSIOLOGY AND BIOCHEMISTRY
(2023)
Article
Entomology
Fairuz Farhana Mohd Rodzik, Nurshazwani Amalina Sudirman, Chee-Keng Teh, Ai-Ling Ong, Huey-Ying Heng, Salmah Yaakop, Norfarhan Mohd-Assaad, Meilina Ong-Abdullah, Nabeel Ata, Samsudin Amit, Burhanuddin Saragih, David Ross Appleton, Harikrishna Kulaveerasingam
Summary: This study developed a set of robust nuclear DNA markers specific to the African oil palm-pollinating weevil (Elaeidobius kamerunicus) to directly assess the genetic diversity of the weevil populations. These markers can be used to confirm the weevil's origin and provide useful information for genetic monitoring and conservation planning.
Article
Engineering, Multidisciplinary
Toan Khac Nguyen, L. Minh Dang, Truong-Dong Do, Jin Hee Lim
Summary: Growth factors have an impact on farm owners, environmental conditions, nutrient adaptation, and resistance to chrysanthemum diseases. Healthy chrysanthemum plants can overcome these factors and generate significant income for farmers. Chrysanthemum white rust disease is a common global disease that results in leaf burning, yellowing, and premature leaf fall, reducing photosynthetic performance and flower appearance. In Korea, the disease is most prevalent during spring and autumn seasons, when temperature fluctuations and poor ventilation occur. Deep neural networks were utilized to distinguish between healthy and diseased plants. The Raspberry Pi 3 module was employed for white rust recognition and four neural network models were tested. All models achieved an accuracy of over 94%, with MobileNet v2 performing the best at over 98% accuracy, precision, and recall. The Raspberry Pi 3 module combined with MobileNet v2 was deemed the most effective system for white rust detection in chrysanthemums, offering a low-cost solution for disease recognition and plant health diagnosis.
Article
Evolutionary Biology
Fraser J. Combe, Levi Jaster, Andrew Ricketts, David Haukos, Andrew G. Hope
Summary: Hybridization is a natural process that occurs at species boundaries, which can either promote speciation or break down species barriers, with minimal impact on management outcomes of distinct populations. White-tailed deer and mule deer in North America have overlapping distributions and capacity for interspecific hybridization. Recent environmental changes have led to mule deer contracting westward and white-tailed deer expanding westward, increasing gene flow and raising conservation implications.
EVOLUTIONARY APPLICATIONS
(2022)
Article
Agronomy
B. Gehesquiere, J. A. Crouch, R. E. Marra, K. Van Poucke, F. Rys, M. Maes, B. Gobin, M. Hofte, K. Heungens
Article
Mycology
T. Jung, M. H. Jung, B. Scanu, D. Seress, G. M. Kovacs, C. Maia, A. Perez-Sierra, T. -T. Chang, A. Chandelier, K. Heungens, K. van Poucke, P. Abad-Campos, M. Leon, S. O. Cacciola, J. Bakonyi
Article
Agronomy
Bart van de Vossenberg, Marcel Westenberg, Ian Adams, Olga Afanasenko, Ani Besheva, Margriet Boerma, James Choiseul, Toos Dekker, Kerstin Flath, Marga van Gent-Pelzer, Kurt Heungens, Anatolii Karelov, Ilona Kibildiene, Jaroslaw Przetakiewicz, Alexandra Schlenzig, Vera Yakovleva, Gerard van Leeuwen
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2018)
Article
Food Science & Technology
Kris Van Poucke, Sofie Monbaliu, Francoise Munaut, Kurt Heungens, Sarah De Saeger, Francois Van Hove
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2012)
Article
Plant Sciences
M. De Backer, P. Bonants, K. F. Pedley, M. Maes, I. Roldan-Ruiz, E. Van Bockstaele, K. Heungens, T. Van der Lee
Article
Plant Sciences
B. Gehesquiere, S. D'Haeyer, K. T. K. Pham, A. J. Van Kuik, M. Maes, M. Hofte, K. Heungens
Article
Agronomy
A. Vercauteren, M. Riedel, M. Maes, S. Werres, K. Heungens
Article
Agronomy
J. Debode, W. Van Hemelrijck, X-M. Xu, M. Maes, P. Creemers, K. Heungens
Article
Agronomy
N. LeBlanc, B. Gehesquiere, C. Salgado-Salazar, K. Heungens, J. A. Crouch
Article
Plant Sciences
Katrijn Van Laere, Kurt Heungens, Bjorn Gehesquiere, Leen Leus, Didier Hermans, Johan Van Huylenbroeck
JOURNAL OF PHYTOPATHOLOGY
(2019)
Article
Agriculture, Multidisciplinary
Ruben Van de Vijver, Koen Mertens, Kurt Heungens, Ben Somers, David Nuyttens, Irene Borra-Serrano, Peter Lootens, Isabel Roldan-Ruiz, Jurgen Vangeyte, Wouter Saeys
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2020)
Article
Agronomy
Sanne Torfs, Kris Van Poucke, Jelle Van Campenhout, An Ceustermans, Sarah Croes, Dany Bylemans, Wendy Van Hemelrijck, Wannes Keulemans, Kurt Heungens
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2019)
Article
Genetics & Heredity
Martha Malapi-Wight, Daniel Veltri, Bjorn Gehesquiere, Kurt Heungens, Yazmin Rivera, Catalina Salgado-Salazar, Jo Anne Crouch
FUNGAL GENETICS AND BIOLOGY
(2019)
Article
Microbiology
Angela Brunetti, Kurt Heungens, Jacqueline Hubert, Renaud Ioos, Gian Luca Bianchi, Francesca De Amicis, Anne Chandelier, Sietse Van der Linde, Ana Perez-Sierra, Valeria Gualandri, Maria Rosaria Silletti, Vito Nicola Trisciuzzi, Silvia Rimondi, Tiziana Baschieri, Elio Romano, Valentina Lumia, Marta Luigi, Francesco Faggioli, Massimo Pilotti
Summary: This article describes a Real-Time PCR detection method for Ceratocystis platani, a lethal vascular disease agent of Platanus species. The method was validated in nine European laboratories and showed excellent performance parameters, making it a valuable tool for monitoring the spread of C. platani and investigating the resistance level of Platanus genotypes.
Article
Environmental Sciences
Ruben van de Vijver, Koen Mertens, Kurt Heungens, David Nuyttens, Jana Wieme, Wouter H. Maes, Jonathan Van Beek, Ben Somers, Wouter Saeys
Summary: Automatic detection of foliar diseases in potato fields using UAV-based high-resolution cameras can help reduce pesticide use and minimize production losses. A deep learning model was trained to predict disease density, generating density maps to guide farmers in disease management.