Abstract
Tobacco bacterial wilt significantly impacts tobacco yield and quality, despite traditional control methods such as chemical fungicides and resistant cultivar breeding. However, these approaches suffer from limitations including monotonousness, residue concerns, and lengthy breeding cycles. In search of alternative solutions, nanomaterials have emerged as promising agents for enhancing agricultural productivity. Bismuth (Bi), a stable metal element with potent antibacterial properties , can effectively inhibit bacterial infections. Selenium (Se), an essential trace element for plants, exists in organic forms like selenocysteine within plants and enhances stress resistance . In this study, we designed cluster-like Bi-Se nanoparticles (Bi-Se NPs) by combining lamellar Bi NPs and spherical Se NPs via electrostatic interaction under nitrogen protection using a redox method. The optimal dosage was determined to be 128 ± 5 μg/mL based on antibacterial inhibition tests. Application of Bi-Se NPs through root irrigation increased selenium and reducing sugar contents in tobacco leaves, indicating a substantial nutrient boost in the plant body. Multi-omics analysis of the leaves revealed significant upregulation of succinic acid and flavin mononucleotide (FMN), components of the oxidative phosphorylation pathway. This upregulation enhanced pathway efficiency, accelerated oxygen and ATP production in leaves, and notably improved metabolic efficiency, thereby fostering tobacco growth and development . Furthermore, toxicity evaluations confirmed the non-toxic nature of Bi-Se NPs to mice . Collectively, these findings offer valuable insights and support for the management and yield enhancement of nanoscale agricultural systems.
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Claims 9
Claim · model-written summary
The optimal antibacterial nanoparticle dosage was 128 ± 5 μg/mL.
- Taxon
- tobacco
Nicotiana tabacumt0 - Outcome
- antibacterial inhibitione0
- Value
- 128 ± 5 μg/mLe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The optimal dosage was determined to be 128 ± 5 μg/mL based on antibacterial inhibition tests”
t0“tobacco”
Claim · model-written summary
Root irrigation with Bi-Se nanoparticles increased tobacco leaf selenium.
- Taxon
- tobaccoNicotiana tabacume0
- Organ / stage
- leavese0
- Treatment
- Application of Bi-Se NPs through root irrigatione0
- Outcome
- seleniume0
- Direction
- increasede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Application of Bi-Se NPs through root irrigation increased selenium and reducing sugar contents in tobacco leaves”
Claim · model-written summary
Root irrigation with Bi-Se nanoparticles increased tobacco leaf reducing sugar.
- Taxon
- tobaccoNicotiana tabacume0
- Organ / stage
- leavese0
- Treatment
- Application of Bi-Se NPs through root irrigatione0
- Outcome
- reducing sugar contentse0
- Direction
- increasede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Application of Bi-Se NPs through root irrigation increased selenium and reducing sugar contents in tobacco leaves”
Claim · model-written summary
Leaf succinic acid was significantly upregulated.
- Taxon
- tobaccoNicotiana tabacumt0
- Organ / stage
- leavese0
- Outcome
- succinic acide0
- Direction
- upregulatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Multi-omics analysis of the leaves revealed significant upregulation of succinic acid and flavin mononucleotide (FMN)”
t0“tobacco”
Claim · model-written summary
Leaf flavin mononucleotide was significantly upregulated.
- Taxon
- tobaccoNicotiana tabacumt0
- Organ / stage
- leavese0
- Outcome
- flavin mononucleotide (FMN)e0
- Direction
- upregulatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Multi-omics analysis of the leaves revealed significant upregulation of succinic acid and flavin mononucleotide (FMN)”
t0“tobacco”
Claim · model-written summary
Upregulation enhanced oxidative phosphorylation pathway efficiency.
- Taxon
- tobaccoNicotiana tabacumt0
- Outcome
- pathway efficiencye0
- Direction
- enhancede0
- Qualifier
- This upregulatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This upregulation enhanced pathway efficiency, accelerated oxygen and ATP production in leaves, and notably improved metabolic efficiency, thereby fostering tobacco growth and development”
t0“tobacco”
Claim · model-written summary
Upregulation accelerated oxygen and ATP production in leaves.
- Taxon
- tobaccoNicotiana tabacumt0
- Outcome
- oxygen and ATP production in leavese0
- Direction
- acceleratede0
- Qualifier
- This upregulatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This upregulation enhanced pathway efficiency, accelerated oxygen and ATP production in leaves, and notably improved metabolic efficiency”
t0“tobacco”
Claim · model-written summary
Upregulation improved metabolic efficiency.
- Taxon
- tobaccoNicotiana tabacumt0
- Outcome
- metabolic efficiencye0
- Direction
- improvede0
- Qualifier
- This upregulatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This upregulation enhanced pathway efficiency, accelerated oxygen and ATP production in leaves, and notably improved metabolic efficiency”
t0“tobacco”
Claim · model-written summary
The metabolic changes fostered tobacco growth and development.
- Taxon
- tobaccoNicotiana tabacume0
- Outcome
- growth and developmente0
- Direction
- fosteringe0
- Qualifier
- thereby fosteringe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“thereby fostering tobacco growth and development”
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nanoparticle · nutrient: content · Nicotiana tabacum (tobacco)Results agree
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See all 9 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.