Molecular approaches for detection and forecasting of wheat yellow rust

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dc.contributor.advisorYadav, Neelam R.
dc.contributor.authorRizwana Rehsawla
dc.date.accessioned2022-12-10T07:28:28Z
dc.date.available2022-12-10T07:28:28Z
dc.date.issued2020-03
dc.description.abstractYellow or stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a devastating airborne disease that affects bread wheat in the major wheat growing regions of India. The understanding of the origin, evolution, pathogenicity, avirulence/virulence behaviour of Pst is very important for the development of more effective management strategies to combat the disease spread. To understand inter and intraspecific phylogenetic relationship among Indian Pst pathotypes, multigene sequence analysis was done. Molecular marker study along with sequencing technology was used to collect information, which was more effective than virulence characterization. The molecular diversity analysis among 13 different Pst pathotypes showed two major cluster formations at similarity coefficient of 0.78. Sometimes, all three wheat rust or two rusts in combination occur simultaneously in the field. Under such conditions identification and differentiation of the yellow rust is needed for precise identification and high throughput DNA based detection protocols. To address this problem PCR based markers were developed which can specifically detect and differentiate Pst from two other rust species of Puccinia and other wheat pathogens. DNA-based methods such as conventional PCR have revolutionized plant disease detection; they are not very reliable at asymptomatic stage. Therefore, a simple and reproducible LAMP assay was developed which could detect the pathogen at an early stage i.e. 3rd day of post infection without any visible sign of pathogen attack on the leaf sample using LAMP primers available in public domain. Four novel sets of LAMP primers from ketopantotate reductase gene were also designed for Pst detection which worked successfully. Biosensing by electrochemical and SPR for the detection of yellow rust was also undertaken. Electrochemical based sensing was done using different sequences of Pst specific genes as probes. Linear response over wide DNA concentration range from 10 pg/μl to 115ng/μl was obtained with a high sensitivity, accuracy and reproducibility. The lowest detection limit was observed for microRNA like RNA 1 gene i.e. 10 pg/μl. Electrochemical DNA based biosensing was developed to distinguish between the yellow rust susceptible and resistant wheat genotypes using TaATG8j gene sequence. Linear response over wide DNA concentration range from 1 ng/μl to 50 ng/μl was obtained with detection limit of 4 pg/μl. The SPR biosensor demonstrated high specificity and long shelf life thus promising its application in Pst diagnosis. The developed biosensor exhibited a high sensitivity (0.18°/ (ng/μl)), good linearity, low detection limit (1 ng/μl) and high specificity over a wide concentration range of DNA (1–150 ng/μl).en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810190489
dc.keywordsYellow rust, Molecular marker, Puccinia striiformis, Wheat, Biosensoren_US
dc.language.isoEnglishen_US
dc.pages108 + xviien_US
dc.publisherCCSHAU, Hisaren_US
dc.subBiotechnology and molecular Biologyen_US
dc.themeMolecular Approaches For Detection and Forecasting of Wheat Yellow Rusten_US
dc.these.typePh.Den_US
dc.titleMolecular approaches for detection and forecasting of wheat yellow rusten_US
dc.typeThesisen_US
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