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        Identifi cation of key leaf color-associated genes in Gleditsia sinensis using bioinformatics

        Chong Wu,Xuemei Yang,Lijuan Feng,Fei Wang,Haixia Tang,Yanlei Yin 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.5

        This study aimed to explore leaf-color associated genes in Gleditsia sinensis ( G. sinensis ) using bioinformatics methods. Green, purple, and yellow leaves were collected from G. sinensis in Shandong Institute of Pomology. Total RNA was collectedfrom leaves and subjected to transcriptome sequencing. Diff erentially expressed genes (DEGs) were identifi ed amongthe diff erent colored leaves using RSEM method followed by functional enrichment analysis. Finally, qRT-PCR analysis wasused to assess the expression of several pigment-related genes enriched in signifi cant GO or KEGG terms. A total of 10,953,14,961, and 8916 DEGs were identifi ed between green vs. purple leaves, green vs. yellow leaves, and purple vs. yellow leaves,respectively. Among the green vs. purple leaves, DEGs were signifi cantly enriched in terms of iron ion binding, tetrapyrrolebinding, (e.g., CYP26A1 , CYP97A3 , and CYP86A1 ), and starch and sucrose metabolism (e.g., TPS and VTC2 ). DEGsfor green/purple vs. yellow groups were markedly enriched in circadian rhythm-plant KEGG pathway, including ELF3 andCHS . Compared with their expression in green leaves, CYP26A1 , CYP97A3 , CYP86A1 , TPS and VTC2 were signifi cantlydownregulated in purple leaves, while downregulation of ELF3 and upregulation of CHS was detected in yellow leaves. CYPs (e.g., CYP26A1 and CYP97A3 ) might play critical roles in the determination of leaf color in G. sinensis via iron ionand tetrapyrrole binding. In addition, genes related to starch and sucrose metabolism (e.g., TPS and VTC2 ), and circadianrhythms (e.g., ELF3 and CHS ) might also be involved in controlling leaf color.

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        Photonic Microcavity-Enhanced Magnetic Plasmon Resonance of Metamaterials for Sensing Applications

        Chen, Jing,Peng, Cheng,Qi, Shibin,Zhang, Qian,Tang, Chaojun,Shen, Xueyang,Da, Haixia,Wang, Lianhui,Park, Gun-Sik IEEE 2019 IEEE Photonics Technology Letters Vol.31 No.2

        <P>We first investigate numerically photonic microcavity-enhanced magnetic plasmon (MP) resonance in metamaterials for high-quality refractive index sensing. The metamaterials consist of a top periodic array of U-shaped metallic split-ring resonators (SRRs), a middle dielectric layer, and a bottom metallic backed plate. The top metallic SRRs that are placed at about Bragg distance above the bottom metallic plate constitute a photonic microcavity. Because the MP resonance excited in metallic SRRs is coupled to the photonic microcavity mode supported by the photonic microcavity, the radiative damping of the MP resonance is strongly reduced, and consequently, its linewidth is decreased dramatically. Benefiting from the narrow linewidth, large modulation depth, and giant magnetic field enhancement at the MP resonance, the cavity-coupled metamaterial sensor has very high sensitivity ( <TEX>$\text {S}= 400$</TEX> nm/RIU and <TEX>$\text {S}^{\ast } = 26$</TEX>/RIU) and figure of merit ( <TEX>$\text {FOM}= 33$</TEX> and FOM* = 4215), which suggests that the proposed metamaterials have potential in applications of plasmonic biosensors.</P>

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