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Transcription factors (TF) play a crucial role in regulating gene expression and are fit to regulate diverse cellular processes by interacting with other proteins. A TF named calmodulin binding transcription activator (CAMTA) was identified in Arabidopsis thaliana (AtCAMTA1-6). To explore the role of CAMTA1 in drought response, the phenotypic differences(More)
Understanding the contribution of genetic background in fibre quality traits is important for the development of future cotton varieties with superior fibre quality. We used Affymetrix microarray (Santa Clara, CA) and Roche 454 GSFLX (Branford, CT) for comparative transcriptome analysis between two superior and three inferior genotypes at six fibre(More)
Wireless sensor networks have found hundreds of applications to simplify the management of complex problems. Energy conservation in wireless sensor nodes is prime concern to engineers in most of its applications. This becomes important as increase in the network life time depends mainly on minimizing the energy consumption in sensor nodes. Thus conserving(More)
The k-means initialization technique for a wireless sensor network is a newly emerging area for researchers. There are many constraints in designing the wireless sensor network. The primary constraint is energy consumption. Clustering is used for improving the lifetime of the system by reducing the power consumption. The most popular clustering technique is(More)
Barley is the cornerstone of the malting and brewing industry. It is known that 250 quantitative trait loci (QTLs) of the grain are associated with 19 malting-quality phenotypes. However, only a few of the contributing genetic components have been identified. One of these, on chromosome 4H, contains a major malting QTL, QTL2, located near the telomeric(More)
SQUAMOSA Promoter-Binding Protein-Like (SPL) genes form a major family of plant-specific transcription factors and play an important role in plant growth and development. In this study, we report the identification of 41 SPL genes (GmSPLs) in the soybean genome. Phylogenetic analysis revealed that these genes were divided into five groups (groups 1–5).(More)
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