2022 Fiscal Year Annual Research Report
Molecular mechanisms of low boron tolerance in Indian mustard and its application
| Project/Area Number |
21F21403
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| Allocation Type | Single-year Grants |
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| Research Institution | Osaka Metropolitan University |
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| Host Researcher |
高野 順平 大阪公立大学, 大学院農学研究科, 教授 (70532472)
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| Foreign Research Fellow |
DASPUTE ABHIJIT 大阪公立大学, 大学院農学研究科, 外国人特別研究員
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| Project Period (FY) |
2021-11-18 – 2024-03-31
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| Keywords | Boron / Transport / Indian Mustard |
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| Outline of Annual Research Achievements |
Indian mustard (Brassica juncea) is an economically important oilseed crop in India and its production is strongly dependent on boron (B) supplies. Previously, we have hydroponically screened 26 genotypes of Indian mustard in low B (0.46μM) and sufficient B (46 μM) and identified three genotypes Geeta, RH06 and Maya as resistant, moderately resistance and sensitive to low B stress respectively. To understand the molecular mechanism of B transport in Indian mustard, we identified 6 AtBOR1, 2 AtBOR2 and 5 At NIP5;1 homologous genes in Indian mustard genome. We prepared the genomic constructs of 6 BOR1 and 2 BOR2 fused with coding sequence of GFP at 3’ end and used for cellular localization and complementation analysis. These BOR1 and BOR2 constructs were transformed into Agrobacterium rhizogenes mediated hairy roots of Indian mustard and cellular localization were analyzed. BOR2B (BjuVB06G52760) showed polar localization in the plasma membrane of epidermis, epidermis adjacent cell layer of cortex, and endodermis. Also, we have transformed 6 BOR1 and 2 BOR2 in single and double mutant of Arabidopsis BOR1 and BOR2 genes for complementation analysis and T2 seeds were harvested. We also cloned the CDS of 6 BOR1, 2 BOR2 and 5NIP5;1 from Geeta and Maya in yeast expression vector to measure boron transport activity.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
おおむね順調に進んでいるが、mRNAの定量解析が技術的な問題で難航している。
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| Strategy for Future Research Activity |
クローニングした各コード配列をテンプレートに用い、mRNAの絶対定量を行う。これにより重要なトランスポーターやチャネルの分子種の絞り込みが可能になる。
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