| 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. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Other | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 25% |
| Agricultural and Biological Sciences | 4 | 25% |
| Immunology and Microbiology | 1 | 6% |
| Chemistry | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
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#20,442,790
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#817
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Outputs of similar age from 3 Biotech
#47
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