Improving Nitrogen Use Efficiency Through Overexpression of Alanine Aminotransferase in Rice, Wheat, and Barley Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.3389/fpls.2021.628521
Nitrogen is an essential nutrient for plants, but crop plants are inefficient in the acquisition and utilization of applied nitrogen. This often results in producers over applying nitrogen fertilizers, which can negatively impact the environment. The development of crop plants with more efficient nitrogen usage is, therefore, an important research goal in achieving greater agricultural sustainability. We utilized genetically modified rice lines over-expressing a barley alanine aminotransferase ( HvAlaAT ) to help characterize pathways which lead to more efficient use of nitrogen. Under the control of a stress-inducible promoter OsAnt1 , OsAnt1:HvAlaAT lines have increased above-ground biomass with little change to both nitrate and ammonium uptake rates. Based on metabolic profiles, carbon metabolites, particularly those involved in glycolysis and the tricarboxylic acid (TCA) cycle, were significantly altered in roots of OsAnt1:HvAlaAT lines, suggesting higher metabolic turnover. Moreover, transcriptomic data revealed that genes involved in glycolysis and TCA cycle were upregulated. These observations suggest that higher activity of these two processes could result in higher energy production, driving higher nitrogen assimilation, consequently increasing biomass production. Other potential mechanisms contributing to a nitrogen-use efficient phenotype include involvements of phytohormonal responses and an alteration in secondary metabolism. We also conducted basic growth studies to evaluate the effect of the OsAnt1:HvAlaAT transgene in barley and wheat, which the transgenic crop plants increased seed production under controlled environmental conditions. This study provides comprehensive profiling of genetic and metabolic responses to the over-expression of AlaAT and unravels several components and pathways which contribute to its nitrogen-use efficient phenotype.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpls.2021.628521
- https://www.frontiersin.org/articles/10.3389/fpls.2021.628521/pdf
- OA Status
- gold
- Cited By
- 51
- References
- 95
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3123947301
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3123947301Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fpls.2021.628521Digital Object Identifier
- Title
-
Improving Nitrogen Use Efficiency Through Overexpression of Alanine Aminotransferase in Rice, Wheat, and BarleyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-28Full publication date if available
- Authors
-
Jingwen Tiong, Niharika Sharma, Ramya Sampath, Nenah Mackenzie, Sayuri Watanabe, Claire Metot, Zhongjin Lu, Wayne S. Skinner, Yingzhi Lu, Jean C. Kridl, Ute Baumann, Sigrid Heuer, Brent N. Kaiser, Mamoru OkamotoList of authors in order
- Landing page
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https://doi.org/10.3389/fpls.2021.628521Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fpls.2021.628521/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/fpls.2021.628521/pdfDirect OA link when available
- Concepts
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Nitrogen cycle, Citric acid cycle, Nitrogen assimilation, Metabolic pathway, Biology, Glycolysis, Agronomy, Genetically modified crops, Nitrogen, Biomass (ecology), Biotechnology, Transgene, Metabolism, Biochemistry, Chemistry, Enzyme, Gene, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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51Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 12, 2024: 11, 2023: 7, 2022: 16, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
95Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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