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Biology subjects

Nazari, K.

Publications and source records attributed to Nazari, K..

3 recordsLinked to original sources

Long-term surveillance suggests multiple hybridization events by nuclear reassortment and accelerated intercontinental spread of wheat yellow rust

O_LIEvolutionary forces affecting crop pathogens, including hybridization and long-distance dispersal (LDD), may have strong implications for food security and sustainable plant disease control at global scales. However, consolidated evidence is often lacking due to absence of consistent pathogen surveys beyond national capacities. C_LIO_LIOur study documents world-wide connectivity between populations of Puccinia striiformis, causing yellow rust on cereals and grasses, when analysing 3240 pathogen samples collected in 41 countries on six continents from 2009-2023. Our analyses revealed twelve cases of inter-continental spread of Puccinia striiformis, including seven cases with major impact on disease epidemics in recipient areas. C_LIO_LISomatic hybridization by nuclear reassortment between co-existing multi-locus genotypes (MLGs) on a common host was the most plausible mechanism for the emergence of three novel clonal groups of global relevance, first detected in Europe. Subsequently, onwards spread to South America and Australia was observed. Several high-impact incursions from South Asia into East Africa were also observed, including a genotype with a dramatic impact on wheat breeding programs of global relevance. C_LIO_LIOur study stresses an urgent need for coordinated crop pathogens monitoring across borders. Only global efforts will enable prevention and control of pathogens that represent major challenges for food security at regional and global scales. C_LI

evolutionary biology↗

Human Slip Control: Investigating the Role of Hand Acceleration Modulation in Preventing Slips

Ensuring a stable grasp during manipulative movements is crucial for robotic applications. While grip force has been the primary means of slip control, our human study revealed that trajectory modulation is also an effective slip control policy during pick-and-place tasks. Motivated by these findings, we developed and compared a slip control policy based on trajectory modulation to one based on grip force control for robotic pick-and-place tasks. Our results show that trajectory modulation significantly outperforms grip force control in certain scenarios, highlighting its potential for slip control in robotics. Moreover, we demonstrate the importance of incorporating forward models in developing effective trajectory modulation slip control systems. Overall, our study provides insight into an alternative method for slip control and suggests that humans use trajectory modulation as an alternative to grip force control for slippage prevention. This insight helps design algorithm for improving robotic manipulation tasks to prevent slippage.

neuroscience↗

Genome Wide Association Study of Resistance to PstS2 and Warrior Races of Stripe (Yellow) Rust in Bread Wheat Landraces.

Stripe rust, caused by Puccinia striiformis Westend. f. sp. tritici is a major threat to wheat production worldwide. The breakdown in resistance of certain major genes and new emerging aggressive races of stripe rusts are causing serious concerns in all main wheat growing areas of the world. To search for new sources of resistance genes and associated QTL for effective utilization in future breeding programs an association mapping panel comprising of 600 bread wheat landraces collected from eight different countries conserved at ICARDA gene bank were evaluated for seedling and adult plant resistance against PstS2 and Warrior races of stripe rust at the Regional Cereal Rust Research Center (RCRRC), Izmir, Turkey during 2016, 2018 and 2019. A set of 25,169 informative SNP markers covering the whole genome were used to examine the population structure, linkage disequilibrium and marker-trait associations in the association mapping panel. The genome-wide association study (GWAS) was carried out using a Mixed Linear Model (MLM). We identified 47 SNP markers at 19 genomic regions with significant SNP-trait associations for both seedling and adult plant stage resistance, the threshold of significance for all SNP-trait associations was determined by the false discovery rate (q) [≤] 0.05. Three genomic regions (QYr.1D_APR, QYr.3A_seedling and QYr.7D_seedling) identified in this study are far away from any previously reported Yr gene or QTL hence, tagging novel genomic regions. The In-silico analysis of the novel QTL regions identified candidate resistance genes encoding proteins putative to plants disease resistance and defense mechanism.

genetics↗