Blue and Far-Red Light Control Flowering Time of Woodland Strawberry (Fragaria Vesca) Distinctively Via Constans (Co) and Flowering Locus1 (Ft1) in the Background of Sunlight Mimicking Radiation

2021 ◽  
Author(s):  
Meyer Prisca ◽  
Verlent Maarten ◽  
Van Doorsselaere Jan ◽  
Bart Nicolai ◽  
Wouter Saeys ◽  
...  
Keyword(s):  
Flowering Time ◽  
Red Light ◽  
Fragaria Vesca ◽  
Light Control ◽  
Woodland Strawberry ◽  
Control Flowering Time

scholarly journals Additive QTLs on three chromosomes control flowering time in woodland strawberry (Fragaria vesca L.)

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Samia Samad ◽  
Takeshi Kurokura ◽  
Elli Koskela ◽  
Tuomas Toivainen ◽  
Vipul Patel ◽  
...  
Keyword(s):  
Flowering Time ◽  
Fragaria Vesca ◽  
Woodland Strawberry ◽  
Control Flowering Time ◽  
Additive Qtls

scholarly journals Dynamic Traffic Light Control

2020 ◽  
Vol 8 (6) ◽  
pp. 3228-3231
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Monitoring ◽  
Intelligent Transport System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control ◽  
Traffic Management System

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).

scholarly journals The wild strawberry kinome: identification, classification and transcript profiling of protein kinases during development and in response to gray mold infection

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Liu ◽  
Wei Qu ◽  
Kaikai Zhu ◽  
Zong-Ming Cheng
Keyword(s):  
Protein Kinases ◽  
Evolutionary Dynamics ◽  
Expression Patterns ◽  
Gene Families ◽  
Gray Mold ◽  
Fragaria Vesca ◽  
Woodland Strawberry ◽  
Go Enrichment ◽  
Potential Link ◽  
Wild Strawberry

Abstract Background Protein kinases (PKs) play an important role in signaling cascades and are one of the largest and most conserved protein super families in plants. Despite their importance, the woodland strawberry (Fragaria vesca) kinome and expression patterns of PK genes remain to be characterized. Results Here, we report on the identification and classification of 954 Fragaria vesca PK genes, which were classified into nine groups and 124 gene families. These genes were distributed unevenly among the seven chromosomes, and the number of introns per gene varied from 0 to 47. Almost half of the putative PKs were predicted to localize to the nucleus and 24.6% were predicted to localize to the cell membrane. The expansion of the woodland strawberry PK gene family occurred via different duplication mechanisms and tandem duplicates occurred relatively late as compared to other duplication types. Moreover, we found that tandem and transposed duplicated PK gene pairs had undergone stronger diversifying selection and evolved relatively faster than WGD genes. The GO enrichment and transcriptome analysis implicates the involvement of strawberry PK genes in multiple biological processes and molecular functions in differential tissues, especially in pollens. Finally, 109 PKs, mostly the receptor-like kinases (RLKs), were found transcriptionally responsive to Botrytis cinerea infection. Conclusions The findings of this research expand the understanding of the evolutionary dynamics of PK genes in plant species and provide a potential link between cell signaling pathways and pathogen attack.

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