scholarly journals Ecological properties of shoot- and single seeds in a hardwood, Zelkova serrata

Data in Brief ◽  
2018 ◽  
Vol 18 ◽  
pp. 1734-1739
Author(s):  
Hiroki Oyama ◽  
Osamu Fuse ◽  
Hiroshi Tomimatsu ◽  
Kenji Seiwa
Keyword(s):  
Single Seeds ◽  
Zelkova Serrata

Proteomics Variation in Nigella Sativa L. (Rananculaceae) Germplasm

2021 ◽  
Vol 50 (2) ◽  
pp. 289-294
Author(s):  
Muhammad Sajjad Iqbal ◽  
Abdul Ghafoor
Keyword(s):  
Euclidean Distance ◽  
Nigella Sativa ◽  
Crop Improvement ◽  
Band Formation ◽  
First Report ◽  
Sds Page ◽  
Genetic Pattern ◽  
Specific Variation ◽  
Improvement Programs ◽  
Single Seeds

Study revealed a first report of proteomics variation in Nigella sativa L. based on analyzing 32 accessions through SDS-PAGE. Three prominent regions along eight subunits were identified. Intra specific variation was observed low whereas the sharpness of bands was high between first and second regions. It was noted that in second region there was no clear evidence of band formation in N. sativa. Prominent and sharp protein peptide bands were recorded in four accessions, namely PK-020561, PK-020609, PK-020620 and PK-020646. Further investigation of single seeds showed almost similar genetic pattern within the single accession. Five clusters were formed on the basis of Euclidean distance. Cluster-I & II contain 1, 1 accession each, likewise Cluster-III and C-IV contain 2, 2 accessions whereas Cluster-V was found diversified as consisted of 26 accessions. Two accessions PK-020878 and PK-020877 were recommended for polymorphism and crop improvement programs. Bangladesh J. Bot. 50(2): 289-294, 2021 (June)

Effect of Organic Waste Application on Soil Chemical Properties and Organisms under Zelkova serrata Cultivation

2018 ◽  
Vol 36 (4) ◽  
pp. 471-478
Author(s):  
Jinu Eo ◽  
Myung-Hyun Kim ◽  
Hyung-kyu Nam ◽  
Soon-Ik Kwon ◽  
Young-Ju Song
Keyword(s):  
Organic Waste ◽  
Chemical Properties ◽  
Soil Chemical Properties ◽  
Zelkova Serrata

scholarly journals Antioxidant Activities and Reduced Amyloid-β Toxicity of 7-Hydroxycalamenene Isolated from the Essential Oil of Zelkova serrata Heartwood

2016 ◽  
Vol 11 (9) ◽  
pp. 1934578X1601100
Author(s):  
Pei-Ling Yen ◽  
Sen-Sung Cheng ◽  
Chia-Cheng Wei ◽  
Huan-You Lin ◽  
Vivian Hsiu-Chuan Liao ◽  
...  
Keyword(s):  
Essential Oil ◽  
Antioxidant Activities ◽  
Radical Scavenging ◽  
Amyloid Β ◽  
Total Phenolic ◽  
C Elegans ◽  
In Vivo Assays ◽  
Zelkova Serrata

The in vitro and in vivo antioxidant activities and its potential to protect against amyloid-β toxicity of essential oils from Zelkova serrata (Thunb.) Makino were investigated in the model organism Caenorhabditis elegans. The results revealed that the essential oil of Z. serrata heartwood exhibited great radical scavenging activities and high total phenolic content. In vivo assays showed significant inhibition of oxidative damage in wild-type C. elegans under juglone-induced oxidative stress and heat shock. Based on results from both in vitro and in vivo assays, the major compound in essential oil of heartwood, (-)-(1 S, 4 S)-7-hydroxycalamenene (1 S, 4 S-7HC), may contribute significantly to the observed antioxidant activity. Further evidence showed that 1 S, 4 S-7HC significantly delayed the paralysis phenotype in amyloid beta-expressing transgenic C. elegans. These findings suggest that 1 S, 4 S-7HC from the essential oil of Z. serrata heartwood has potential as a source for antioxidant or Alzheimer's disease treatment.

Multiple seeds sensitivity using a single seed with threshold

2015 ◽  
Vol 13 (04) ◽  
pp. 1550011 ◽  
Author(s):  
Lavinia Egidi ◽  
Giovanni Manzini
Keyword(s):  
Prime Number ◽  
Similarity Search ◽  
A Posteriori ◽  
Quadratic Residues ◽  
Spaced Seeds ◽  
Trade Offs ◽  
Sensitivity And Selectivity ◽  
Practical Limit ◽  
Single Seeds ◽  
Number Of Seeds

Spaced seeds are a fundamental tool for similarity search in biosequences. The best sensitivity/selectivity trade-offs are obtained using many seeds simultaneously: This is known as the multiple seed approach. Unfortunately, spaced seeds use a large amount of memory and the available RAM is a practical limit to the number of seeds one can use simultaneously. Inspired by some recent results on lossless seeds, we revisit the approach of using a single spaced seed and considering two regions homologous if the seed hits in at least t sufficiently close positions. We show that by choosing the locations of the don't care symbols in the seed using quadratic residues modulo a prime number, we derive single seeds that when used with a threshold t > 1 have competitive sensitivity/selectivity trade-offs, indeed close to the best multiple seeds known in the literature. In addition, the choice of the threshold t can be adjusted to modify sensitivity and selectivity a posteriori, thus enabling a more accurate search in the specific instance at issue. The seeds we propose also exhibit robustness and allow flexibility in usage.

Application of near-infrared spectroscopy for the detection of internal insect infestation inPiceaabiesseed lots

2004 ◽  
Vol 34 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Mulualem Tigabu ◽  
Per Christer Odén ◽  
Tong Yun Shen
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Least Squares Regression ◽  
Absorption Bands ◽  
Classification Rate ◽  
Data Set ◽  
Storage Lipids ◽  
Nir Absorption ◽  
Seed Origin ◽  
Single Seeds

The use of near-infrared (NIR) spectroscopy to discriminate between uninfested seeds of Picea abies (L.) Karst and seeds infested with Plemeliella abietina Seitn (Hymenoptera, Torymidae) larva is sensitive to seed origin and year of collection. Five seed lots collected during different years from Sweden, Finland, and Belarus were used in this study. Initially, seeds were classified as infested or uninfested with X-radiography, and then, NIR spectra from single seeds were collected with a NIR spectrometer from 1100 to 2498 nm with a resolution of 2 nm. Discriminant models were derived by partial least squares regression using raw and orthogonal signal corrected spectra (OSC). The resulting OSC model developed on a pooled data set was more robust than the raw model and resulted in 100% classification accuracy. Once irrelevant spectral variations were removed by using OSC pretreatment, single-lot calibration models resulted in similar classification rates for the new samples irrespective of origin and year of collection. Dis criminant analyses performed with selected NIR absorption bands also gave nearly 100% classification rate for new samples. The origin of spectral differences between infested and uninfested seeds was attributed to storage lipids and proteins that were completely depleted in the former by the feeding larva.

Nitrogen (protein) determination in single seeds by nuclear reactions

2019 ◽  
Vol 146 ◽  
pp. 33-39 ◽  
Author(s):  
R. Policroniades ◽  
E. Moreno ◽  
G. Murillo ◽  
A. Varela
Keyword(s):  
Nuclear Reactions ◽  
Protein Determination ◽  
Single Seeds
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