scholarly journals Screening of Barley Resistance Against Powdery Mildew by Simultaneous High-Throughput Enzyme Activity Signature Profiling and Multispectral Imaging

2018 ◽  
Vol 9 ◽  
Author(s):  
Matheus T. Kuska ◽  
Jan Behmann ◽  
Dominik K. Großkinsky ◽  
Thomas Roitsch ◽  
Anne-Katrin Mahlein
Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuai Che ◽  
Guoying Du ◽  
Ning Wang ◽  
Kun He ◽  
Zhaolan Mo ◽  
...  

Abstract Background Pyropia is an economically advantageous genus of red macroalgae, which has been cultivated in the coastal areas of East Asia for over 300 years. Realizing estimation of macroalgae biomass in a high-throughput way would great benefit their cultivation management and research on breeding and phenomics. However, the conventional method is labour-intensive, time-consuming, manually destructive, and prone to human error. Nowadays, high-throughput phenotyping using unmanned aerial vehicle (UAV)-based spectral imaging is widely used for terrestrial crops, grassland, and forest, but no such application in marine aquaculture has been reported. Results In this study, multispectral images of cultivated Pyropia yezoensis were taken using a UAV system in the north of Haizhou Bay in the midwestern coast of Yellow Sea. The exposure period of P. yezoensis was utilized to prevent the significant shielding effect of seawater on the reflectance spectrum. The vegetation indices of normalized difference vegetation index (NDVI), ratio vegetation index (RVI), difference vegetation index (DVI) and normalized difference of red edge (NDRE) were derived and indicated no significant difference between the time that P. yezoensis was completely exposed to the air and 1 h later. The regression models of the vegetation indices and P. yezoensis biomass per unit area were established and validated. The quadratic model of DVI (Biomass = − 5.550DVI2 + 105.410DVI + 7.530) showed more accuracy than the other index or indices combination, with the highest coefficient of determination (R2), root mean square error (RMSE), and relative estimated accuracy (Ac) values of 0.925, 8.06, and 74.93%, respectively. The regression model was further validated by consistently predicting the biomass with a high R2 value of 0.918, RMSE of 8.80, and Ac of 82.25%. Conclusions This study suggests that the biomass of Pyropia can be effectively estimated using UAV-based spectral imaging with high accuracy and consistency. It also implied that multispectral aerial imaging is potential to assist digital management and phenomics research on cultivated macroalgae in a high-throughput way.


2019 ◽  
Vol 58 (30) ◽  
pp. 10114-10119 ◽  
Author(s):  
Tristan de Rond ◽  
Jian Gao ◽  
Amin Zargar ◽  
Markus de Raad ◽  
Jack Cunha ◽  
...  

2006 ◽  
Vol 78 (9) ◽  
pp. 3213-3220 ◽  
Author(s):  
Ning Gao ◽  
Wenlei Wang ◽  
Xiaoli Zhang ◽  
Wenrui Jin ◽  
Xuefeng Yin ◽  
...  

2013 ◽  
Vol 405 (14) ◽  
pp. 4969-4973 ◽  
Author(s):  
Tristan de Rond ◽  
Pamela Peralta-Yahya ◽  
Xiaoliang Cheng ◽  
Trent R. Northen ◽  
Jay D. Keasling

2011 ◽  
Vol 16 (2) ◽  
pp. 164-173 ◽  
Author(s):  
Allison E. Drew ◽  
Samer Al-Assaad ◽  
Violeta Yu ◽  
Paul Andrews ◽  
Patricia Merkel ◽  
...  

Anaplastic lymphoma kinase (ALK) when expressed as a fusion protein with nucleophosmin (NPM) has been implicated as a driving oncogene in a subset of lymphomas. Recent reports of ALK expression in a number of other cancers have raised the possibility that an ALK inhibitor may benefit patients with these diseases as well. In a campaign to identify and develop a selective ALK inhibitor, 2 assays were devised to measure the phosphorylation of tyrosine residue 1604 of ALK (pY1604 ALK). Amplified Luminescent Proximity Homogeneous Assay (AlphaScreen®) and phosflow platforms were used to detect modulation of pY1604 ALK to determine the relative potency of a set of small-molecule inhibitors. Prior to making use of these assays in diverse settings, the authors attempted to ensure their equivalence with a direct comparison of their performance. The pY1604 ALK assays correlated well both with each other and with assays of ALK enzyme activity or ALK-dependent cell proliferation. The AlphaScreen® assay was amenable to automation and enabled rapid, high-throughput compound assessment in an NPM-ALK-driven cell line, whereas the phosflow assay enabled the authors to characterize the activity of compounds with respect to their impact on targeted enzymes and pathways. Results show that both AlphaScreen® and phosflow ALK assays exhibited diverse characteristics that made them desirable for different applications but were determined to be equally sensitive and robust in the detection of inhibition of pY1604 ALK.


2007 ◽  
Vol 48 (4) ◽  
pp. 167 ◽  
Author(s):  
Birgit Schilling ◽  
James Murray ◽  
Richard H. Row ◽  
Chris B. Yoo ◽  
Bradford W. Gibson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document