Exploring the efficacy of 1-amino-cyclopropane-1-carboxylic acid (ACCA) as a natural compound in strengthening maize resistance against biotic and abiotic stressors: an empirical computational study Article Swipe
Sandip Debnath
,
Abdallah M. Elgorban
,
Ali H. Bahkali
,
Rajalakshmanan Eswaramoorthy
,
Meenakshi Verma
,
Pragya Tiwari
,
Shifa Wang
,
Ling Shing Wong
,
Asad Syed
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fmicb.2023.1232086
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fmicb.2023.1232086
Objective This study aims to understand plant-bacteria interactions that enhance plant resistance to environmental stressors, with a focus on maize ( Zea mays L.) and its vulnerability to various pathogenic organisms. We examine the potential of 1-amino-cyclopropane-1-carboxylic acid (ACCA) as a compound to boost maize’s resilience against stressors and pathogens. Background With the growing global population and increased food demand, the study of endophytes, comprising bacteria and fungi, becomes crucial. They reside within plant tissues, affecting their hosts either beneficially or detrimentally. Agrobacteria are of specific interest due to their potential to contribute to developing strategies for plant resistance enhancement. Methods We conducted exhaustive research on the defense-related proteins and mechanisms involved in maize-pathogen interactions. The efficacy of ACCA as a natural-compound that could enhance maize’s resistance was examined. Results Our research indicates that ACCA, having a binding energy of −9.98 kcal/mol, successfully strengthens maize resistance against pathogenic assaults and drought stress. It plays a crucial protective role in maize plants as they mature, outperforming other ligands in its effectiveness to improve productivity and increase yield. Conclusion Applying ACCA to maize plants has considerable potential in enhancing their resilience and tolerance to stress, proving to be an effective strategy to boost crop yield and productivity. This could help address the increasing global food demand. However, more research is needed to optimize ACCA application methods and to gain a comprehensive understanding of its long-term effects on maize cultivations and the environment.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmicb.2023.1232086
- https://www.frontiersin.org/articles/10.3389/fmicb.2023.1232086/pdf
- OA Status
- gold
- Cited By
- 7
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385753174
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385753174Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmicb.2023.1232086Digital Object Identifier
- Title
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Exploring the efficacy of 1-amino-cyclopropane-1-carboxylic acid (ACCA) as a natural compound in strengthening maize resistance against biotic and abiotic stressors: an empirical computational studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-11Full publication date if available
- Authors
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Sandip Debnath, Abdallah M. Elgorban, Ali H. Bahkali, Rajalakshmanan Eswaramoorthy, Meenakshi Verma, Pragya Tiwari, Shifa Wang, Ling Shing Wong, Asad SyedList of authors in order
- Landing page
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https://doi.org/10.3389/fmicb.2023.1232086Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fmicb.2023.1232086/pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fmicb.2023.1232086/pdfDirect OA link when available
- Concepts
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Biology, Abiotic component, Biotechnology, Resistance (ecology), Population, Productivity, Agronomy, Ecology, Economics, Sociology, Demography, MacroeconomicsTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 4, 2024: 3Per-year citation counts (last 5 years)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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