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Molecular characterization of EcCIPK24 gene of finger millet (Eleusine coracana) for investigating its regulatory role in calcium transport

Overview of attention for article published in 3 Biotech, July 2017
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Title
Molecular characterization of EcCIPK24 gene of finger millet (Eleusine coracana) for investigating its regulatory role in calcium transport
Published in
3 Biotech, July 2017
DOI 10.1007/s13205-017-0874-7
Pubmed ID
Authors

Mahadev Chinchole, Rajesh Kumar Pathak, Uma M. Singh, Anil Kumar

Abstract

Finger millet grains contain exceptionally high levels of calcium which is much higher compared to other cereals and millets. Since calcium is an important macronutrient in human diet, it is necessary to explore the molecular basis of calcium accumulation in the seeds of finger millet. CIPK is a calcium sensor gene, having role in activating Ca(2+) exchanger protein by interaction with CBL proteins. To know the role of EcCIPK24 gene in seed Ca(2+) accumulation, sequence is retrieved from the transcriptome data of two finger millet genotypes GP1 (low Ca(2+)) and GP45 (high Ca(2+)), and the expression was determined through qRT-PCR. The higher expression was found in root, shoot, leaf and developing spike tissue of GP45 compared to GP1; structural analysis showed difference of nine SNPs and one extra beta sheet domain as well as differences in vacuolar localization was predicted; besides, the variation in amino acid composition among both the genotypes was also investigated. Molecular modeling and docking studies revealed that both EcCBL4 and EcCBL10 showed strong binding affinity with EcCIPK24 (GP1) compared to EcCIPK24 (GP45). It indicates a genotypic structural variation, which not only affects the affinity but also calcium transport efficiency after interaction of CIPK-CBL with calcium exchanger (EcCAX1b) to pull calcium in the vacuole. Based on the expression and in silico study, it can be suggested that by activating EcCAX1b protein, EcCIPK24 plays an important role in high seed Ca(2+) accumulation.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 29%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Other 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 71%
Biochemistry, Genetics and Molecular Biology 1 14%
Chemistry 1 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2017.
All research outputs
#10,287,897
of 11,598,144 outputs
Outputs from 3 Biotech
#229
of 361 outputs
Outputs of similar age
#224,445
of 265,753 outputs
Outputs of similar age from 3 Biotech
#38
of 56 outputs
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