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      • SCOPUSKCI등재

        Expression of a rice Zn transporter, OsZIP1, increases Zn concentration in tobacco and finger millet transgenic plants

        Ramegowda, Yamunarani,Venkategowda, Ramegowda,Jagadish, Pavithra,Govind, Geetha,Hanumanthareddy, Rajashekar-Reddy,Makarla, Udayakumar,Guligowda, Shankar Ambarahalli 한국식물생명공학회 2013 Plant biotechnology reports Vol.7 No.3

        Zinc (Zn) deficiency is very widespread both from the plant and human nutrition perspective. One of the approaches to improve Zn in crop plants is by over-expression of Zn transporters such that plants can uptake and accumulate additional Zn added to soil. The ZIP family transporters generally contribute to Zn homeostasis in plants by regulating Zn transport into the cell. We over-expressed OsZIP1 in finger millet and model plant tobacco under the control of constitutive (35S) and endospermspecific (Bx17) promoters to study the improvement in Zn accumulation. The transcript analysis revealed the induction of ZIP1 in leaf and root tissue under Zn deprivation in finger millet cultivars. Ectopic expression of OsZIP1 in tobacco under CaMV35S (n35S) and Bx17 ($nB{\times}17$) improved seed Zn concentration compared to untransformed wild-type plants. In addition, we successfully developed finger millet transgenic plants, f35S and $fB{\times}17$, expressing the OsZIP1 under 35S (f35S) and Bx17 ($fB{\times}17$) promoter, respectively. The transgenic plants accumulated significantly higher Zn in seeds compared to untransformed wild-type finger millet plants. Plants expressing the gene under Bx17 promoter accumulated more Zn in seed than 35S plants. Apart from Zn, finger millet transgenic plants also showed increased Mn content in seeds. Our results show the involvement of OsZIP1 in improving Zn concentration in tobacco and finger millet. Using endosperm-specific promoter, it is possible to improve the seed Zn concentration in the edible part of cereals.

      • KCI등재

        Expression of a rice Zn transporter, OsZIP1, increases Zn concentration in tobacco and finger millet transgenic plants

        Yamunarani Ramegowda,Ramegowda Venkategowda,Pavithra Jagadish,Geetha Govind,Rajashekar-Reddy Hanumanthareddy,Udayakumar Makarla,Shankar Ambarahalli Guligowda 한국식물생명공학회 2013 Plant biotechnology reports Vol.7 No.3

        Zinc (Zn) deficiency is very widespread bothfrom the plant and human nutrition perspective. One of theapproaches to improve Zn in crop plants is by overexpressionof Zn transporters such that plants can uptakeand accumulate additional Zn added to soil. The ZIP familytransporters generally contribute to Zn homeostasis inplants by regulating Zn transport into the cell. We overexpressedOsZIP1 in finger millet and model plant tobaccounder the control of constitutive (35S) and endospermspecific(Bx17) promoters to study the improvement in Znaccumulation. The transcript analysis revealed the inductionof ZIP1 in leaf and root tissue under Zn deprivation infinger millet cultivars. Ectopic expression of OsZIP1 intobacco under CaMV35S (n35S) and Bx17 (nBx17)improved seed Zn concentration compared to untransformedwild-type plants. In addition, we successfullydeveloped finger millet transgenic plants, f35S and fBx17,expressing the OsZIP1 under 35S (f35S) and Bx17 (fBx17)promoter, respectively. The transgenic plants accumulatedsignificantly higher Zn in seeds compared to untransformedwild-type finger millet plants. Plants expressing the geneunder Bx17 promoter accumulated more Zn in seed than35S plants. Apart from Zn, finger millet transgenic plantsalso showed increased Mn content in seeds. Our resultsshow the involvement of OsZIP1 in improving Zn concentrationin tobacco and finger millet. Using endospermspecificpromoter, it is possible to improve the seed Znconcentration in the edible part of cereals.

      • SCOPUSKCI등재

        Hierarchical Graph Based Segmentation and Consensus based Human Tracking Technique

        Ramachandra, Sunitha Madasi,Jayanna, Haradagere Siddaramaiah,Ramegowda, Ramegowda Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.1

        Accurate detection, tracking and analysis of human movement using robots and other visual surveillance systems is still a challenge. Efforts are on to make the system robust against constraints such as variation in shape, size, pose and occlusion. Traditional methods of detection used the sliding window approach which involved scanning of various sizes of windows across an image. This paper concentrates on employing a state-of-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation for color-consistent segments and object level segmentation for category-consistent regions. The tracking phase is achieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking scheme with validation phase. Localization of human region in each frame is performed by keypoints by casting votes for the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-based framework is used to detect voting behavior. The designed methodology is tested on the video sequences having 3 to 4 persons.

      • KCI등재

        Hierarchical Graph based Segmentation and Consensus based Human Tracking Technique

        Sunitha Madasi Ramachandra,Haradagere Siddaramaiah Jayanna,Ramegowda 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.1

        Accurate detection, tracking and analysis of human movement using robots and other visual surveillancesystems is still a challenge. Efforts are on to make the system robust against constraints such as variation inshape, size, pose and occlusion. Traditional methods of detection used the sliding window approach whichinvolved scanning of various sizes of windows across an image. This paper concentrates on employing a stateof-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation forcolor-consistent segments and object level segmentation for category-consistent regions. The tracking phase isachieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking schemewith validation phase. Localization of human region in each frame is performed by keypoints by casting votesfor the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-basedframework is used to detect voting behavior. The designed methodology is tested on the video sequences having3 to 4 persons.

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