scholarly journals Isobaric Tags for Relative and Absolute Quantitation-Based Proteomics Analysis Provides a New Perspective Into Unsynchronized Growth in Kuruma Shrimp (Marsupenaeus japonicus)

2021 ◽  
Vol 8 ◽  
Author(s):  
Jichen Zhao ◽  
Minze Liao ◽  
Zexu Lin ◽  
Yiyi Huang ◽  
Yunqi Zhong ◽  
...  
Keyword(s):  
Growth Stage ◽  
Fast Growth ◽  
Growth Stages ◽  
Marsupenaeus Japonicus ◽  
Absolute Quantitation ◽  
Crustacean Species ◽  
Steady Growth ◽  
Kuruma Shrimp ◽  
Isobaric Tags ◽  
New Perspective

Unsynchronized growth is a common phenomenon in farmed crustaceans. The underlying molecular mechanism of unsynchronized growth of crustaceans is unclear. In this study, a comparative proteomic analysis focusing on growth differences was performed using kuruma shrimp Marsupenaeus japonicus, an economic crustacean species, as the model. The study analyzed kuruma shrimp at fast growth stage and steady growth stage from both fast growth group and slow growth group by an Isobaric tags for relative and absolute quantitation (iTRAQ)-based quantitative proteomic analysis method. A total of 1,720 proteins, including 12,291 peptides, were identified. Fifty-two and 70 differentially expressed proteins (DEPs) were identified in the fast growth stage and steady growth stage, respectively. Interestingly, 10 DEPs, including 14-3-3-epsilon-like, GPI, GPD1, MHC-1a, and MHC-1b, were presented in both growth stages. In addition, all these 10 DEPs shared the same expression tendency at these two growth stages. The results indicated that these 10 DEPs are potential growth biomarkers of M. japonicus. Proteins associated with faster growth of M. japonicus may promote cell growth and inhibit cell apoptosis through the Hippo signaling pathway. The fast growth group of M. japonicus may also achieve growth superiority by activating multiple related metabolic pathways, including glycolysis, glycerophospholipid metabolism and Citrate cycle. The present study provides a new perspective to explore the molecular mechanism of unsynchronized growth in crustacean species.

A Comparative Study on the Incidence, Aggravation, and Remission of Lupus Nephritis Based on iTRAQ Technology

2020 ◽  
Vol 23 (7) ◽  
pp. 649-657
Author(s):  
Dong-Jiang Liao ◽  
Xi-Ping Cheng ◽  
Nan Li ◽  
Kang-Li Liang ◽  
Hui Fan ◽  
...  
Keyword(s):  
Lupus Nephritis ◽  
Lupus Erythematosus ◽  
Kidney Tissue ◽  
Quantitative Information ◽  
Enzyme Linked Immunosorbent Assay ◽  
Absolute Quantitation ◽  
Western Blot Method ◽  
Close Relationship ◽  
Polymerase Chain ◽  
Isobaric Tags

Aim and Objective: Lupus nephritis (LN) is one of the major complications of systemic lupus erythematosus (SLE). The specific mechanisms of pathogenesis, aggravation, and remission processes in LN have not been clarified but is of great need in the clinic. Using isobaric tags for relative and absolute quantitation (iTRAQ) technology to screen the functional proteins of LN in mice. Especially under intervention factors of lipopolysaccharide (LPS) and dexamethasone. Methods: Mrl-lps mice were intervened with LPS, dexamethasone, and normal saline (NS) using intraperitoneal injection, and c57 mice intervened with NS as control. The anti-ANA antibody enzyme-linked immunosorbent assay (ELISA) was used to verify disease severity. Kidney tissue is collected and processed for iTRAQ to screen out functional proteins closely related to the onset and development of LN. Western blot method and rt-PCR (real-time Polymerase Chain Reaction) were used for verification. Results: We identified 136 proteins that marked quantitative information. Among them, Hp, Igkv8-27, Itgb2, Got2, and Pcx proteins showed significant abnormal manifestations. Conclusion: Using iTRAQ methods, the functional proteins Hp, Igkv8-27, Itgb2, Got2, and Pcx were screened out for a close relationship with the pathogenesis and development of LN, which is worth further study.

scholarly journals Growth Stages Classification of Potato Crop Based on Analysis of Spectral Response and Variables Optimization

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3995 ◽  
Author(s):  
Ning Liu ◽  
Ruomei Zhao ◽  
Lang Qiao ◽  
Yao Zhang ◽  
Minzan Li ◽  
...  
Keyword(s):  
Growth Stage ◽  
Spectral Response ◽  
Classification Model ◽  
Growth Stages ◽  
Potato Field ◽  
Spectral Bands ◽  
Svm Model ◽  
Selection Algorithms ◽  
Potato Crops

Potato is the world’s fourth-largest food crop, following rice, wheat, and maize. Unlike other crops, it is a typical root crop with a special growth cycle pattern and underground tubers, which makes it harder to track the progress of potatoes and to provide automated crop management. The classification of growth stages has great significance for right time management in the potato field. This paper aims to study how to classify the growth stage of potato crops accurately on the basis of spectroscopy technology. To develop a classification model that monitors the growth stage of potato crops, the field experiments were conducted at the tillering stage (S1), tuber formation stage (S2), tuber bulking stage (S3), and tuber maturation stage (S4), respectively. After spectral data pre-processing, the dynamic changes in chlorophyll content and spectral response during growth were analyzed. A classification model was then established using the support vector machine (SVM) algorithm based on spectral bands and the wavelet coefficients obtained from the continuous wavelet transform (CWT) of reflectance spectra. The spectral variables, which include sensitive spectral bands and feature wavelet coefficients, were optimized using three selection algorithms to improve the classification performance of the model. The selection algorithms include correlation analysis (CA), the successive projection algorithm (SPA), and the random frog (RF) algorithm. The model results were used to compare the performance of various methods. The CWT-SPA-SVM model exhibited excellent performance. The classification accuracies on the training set (Atrain) and the test set (Atest) were respectively 100% and 97.37%, demonstrating the good classification capability of the model. The difference between the Atrain and accuracy of cross-validation (Acv) was 1%, which showed that the model has good stability. Therefore, the CWT-SPA-SVM model can be used to classify the growth stages of potato crops accurately. This study provides an important support method for the classification of growth stages in the potato field.

scholarly journals Effect of Herbicides on the Management of the Invasive Weed Solanum rostratum Dunal (Solanaceae)

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 284
Author(s):  
Jackline Abu-Nassar ◽  
Maor Matzrafi
Keyword(s):  
Growth Stage ◽  
Late Summer ◽  
Early Spring ◽  
Growth Stages ◽  
Weed Species ◽  
Invasive Weed ◽  
Solanum Rostratum ◽  
Stage 4 ◽  
Chemical Solutions ◽  
Late Growth

Solanum rostratum Dunal is an invasive weed species that invaded Israel in the 1950s. The weed appears in several germination flashes, from early spring until late summer. Recently, an increase in its distribution range was observed, alongside the identification of new populations in the northern part of Israel. This study aimed to investigate the efficacy of herbicide application for the control of S. rostratum using two field populations originated from the Golan Heights and the Jezreel Valley. While minor differences in herbicide efficacy were recorded between populations, plant growth stage had a significant effect on herbicide response. Carfentrazone-ethyl was found to be highly effective in controlling plants at both early and late growth stages. Metribuzin, oxadiazon, oxyfluorfen and tembutrione showed reduced efficacy when applied at later growth stage (8–9 cm height), as compared to the application at an early growth stage (4–5 cm height). Tank mixes of oxadiazon and oxyfluorfen with different concentrations of surfactant improved later growth stage plant control. Taken together, our study highlights several herbicides that can improve weed control and may be used as chemical solutions alongside diversified crop rotation options. Thus, they may aid in preventing the spread and further buildup of S. rostratum field populations.

scholarly journals Effect of Growth Stage on Susceptibility of Grape Berry and Rachis Tissues to Infection by Phomopsis viticola

Plant Disease ◽  
2001 ◽  
Vol 85 (5) ◽  
pp. 517-520 ◽  
Author(s):  
O. Erincik ◽  
L. V. Madden ◽  
D. C. Ferree ◽  
M. A. Ellis
Keyword(s):  
Growth Stage ◽  
Grape Berry ◽  
Growth Stages ◽  
Phomopsis Viticola ◽  
Over Time

Intact ‘Seyval’ grape clusters in the greenhouse and ‘Catawba’ clusters in the field were inoculated with conidia of Phomopsis viticola at seven Eichorn-Lorenz growth stages between 12 (prebloom) and 35 (véraison) in 1998. Five pots (10 clusters) were used per inoculation, and the experiment was repeated three times. Also, 10 to 20 randomly selected Catawba clusters were inoculated in the field for each of three replications at each growth stage. Studies were repeated in 1999. In addition, Chambourcin clusters were also inoculated at four growth stages in the greenhouse in 1999. Results obtained in the greenhouse and field during both years and for all cultivars indicate that berry and rachis infections can occur at all growth stages between 12 and 35 with no evidence of decreasing susceptibility over time. Results disagree with some literature reports that indicate that berry infection occurs primarily during bloom and shortly after bloom, and susceptibility decreases as fruit matures.

Laboratory Scale Culture of Early-Stage Kuruma Shrimp Marsupenaeus japonicus Larvae Fed on Thraustochytrids Aurantiochytrium and Parietichytrium

2018 ◽  
Vol 37 (3) ◽  
pp. 571-579 ◽  
Author(s):  
Taku Sato ◽  
Kenji Ishihara ◽  
Tomohito Shimizu ◽  
Juri Aoya ◽  
Masaki Yoshida
Keyword(s):  
Early Stage ◽  
Laboratory Scale ◽  
Marsupenaeus Japonicus ◽  
Kuruma Shrimp
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