scholarly journals Brush and Spray: A High-Throughput Systemic Acquired Resistance Assay Suitable for Large-Scale Genetic Screening

2011 ◽  
Vol 157 (3) ◽  
pp. 973-980 ◽  
Author(s):  
Beibei Jing ◽  
Shaohua Xu ◽  
Mo Xu ◽  
Yan Li ◽  
Shuxin Li ◽  
...  
2020 ◽  
Vol 47 (3) ◽  
pp. 203 ◽  
Author(s):  
Neelu Jain ◽  
Sushma Rani ◽  
Chanchal Sharma ◽  
Nivedita Sinha ◽  
Anupam Singh ◽  
...  

Genome-wide transcriptome analysis was undertaken in a leaf-rust resistant bread wheat line CSP44 (selected from Australian cv. Condor) carrying the adult plant resistance (APR) gene Lr48. Two pre-adult plant (P-AP) susceptible stages (S48 and S96) and two adult plant (AP) resistant stages (R48 and R96) were used for RNA-seq. At the susceptible P-AP stage (during S48 to S96), expression increased in 2062 genes, and declined in 130 genes; 1775 of 2062 differentially expressed genes (DEGs) also exhibited high expression during early incompatible stage R48. Comparison of S96 with R96 showed that the expression of 80 genes was enhanced and that of 208 genes declined at the AP stage. At the resistant AP stage (during R48 to R96), expression of mere 25 genes increased and that of 126 genes declined. Apparently, the resistance during late adult stage (R96) is caused by regulation of the expression of relatively fewer genes, although at pre-adult stage (S48 to S96), expression of large number of genes increased; expression of majority of these genes kept on increasing during adult stage at R48 also. These and other results of the present study suggest that APR may mimic some kind of systemic acquired resistance (SAR). The host-specific DEGs belonged to 10 different classes including genes involved in defence, transport, epigenetics, photosynthesis, genes encoding some transcription factors etc. The pathogen (Puccinia triticina) specific DEGs (including three genes encoding known biotrophic effectors) seem to help the pathogen in infection/growth through large-scale stage-specific enhanced expression of host’s genes. A putative candidate gene for Lr48 containing protein kinase domain (its ortholog in rice encoding OsWAK8) was also identified.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jamshaid Hussain ◽  
Jian Chen ◽  
Vittoria Locato ◽  
Wilma Sabetta ◽  
Smrutisanjita Behera ◽  
...  

Abstract The infection of Arabidopsis thaliana plants with avirulent pathogens causes the accumulation of cGMP with a biphasic profile downstream of nitric oxide signalling. However, plant enzymes that modulate cGMP levels have yet to be identified, so we generated transgenic A. thaliana plants expressing the rat soluble guanylate cyclase (GC) to increase genetically the level of cGMP and to study the function of cGMP in plant defence responses. Once confirmed that cGMP levels were higher in the GC transgenic lines than in wild-type controls, the GC transgenic plants were then challenged with bacterial pathogens and their defence responses were characterized. Although local resistance was similar in the GC transgenic and wild-type lines, differences in the redox state suggested potential cross-talk between cGMP and the glutathione redox system. Furthermore, large-scale transcriptomic and proteomic analysis highlighted the significant modulation of both gene expression and protein abundance at the infection site, inhibiting the establishment of systemic acquired resistance. Our data indicate that cGMP plays a key role in local responses controlling the induction of systemic acquired resistance in plants challenged with avirulent pathogens.


2001 ◽  
Vol 25 (2) ◽  
pp. 149-157 ◽  
Author(s):  
Keiko Yoshioka ◽  
Hideo Nakashita ◽  
Daniel F. Klessig ◽  
Isamu Yamaguchi

2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>


2019 ◽  
Vol 25 (31) ◽  
pp. 3350-3357 ◽  
Author(s):  
Pooja Tripathi ◽  
Jyotsna Singh ◽  
Jonathan A. Lal ◽  
Vijay Tripathi

Background: With the outbreak of high throughput next-generation sequencing (NGS), the biological research of drug discovery has been directed towards the oncology and infectious disease therapeutic areas, with extensive use in biopharmaceutical development and vaccine production. Method: In this review, an effort was made to address the basic background of NGS technologies, potential applications of NGS in drug designing. Our purpose is also to provide a brief introduction of various Nextgeneration sequencing techniques. Discussions: The high-throughput methods execute Large-scale Unbiased Sequencing (LUS) which comprises of Massively Parallel Sequencing (MPS) or NGS technologies. The Next geneinvolved necessarily executes Largescale Unbiased Sequencing (LUS) which comprises of MPS or NGS technologies. These are related terms that describe a DNA sequencing technology which has revolutionized genomic research. Using NGS, an entire human genome can be sequenced within a single day. Conclusion: Analysis of NGS data unravels important clues in the quest for the treatment of various lifethreatening diseases and other related scientific problems related to human welfare.


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